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Bringing Extinct Species Back to Life | Dr. Beth Shapiro

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Bringing Extinct Species Back to Life | Dr. Beth Shapiro

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0:00

So our direwolves, they have 20 edits

0:03

that we picked and we sequenced genomes

0:05

from fossil direwolves. We learned from

0:08

those genomes what genetic changes made

0:11

those animals bigger, more robust, light

0:13

colored in coat and then we engineered

0:16

those changes into a greywolf genome to

0:18

recreate the direwolf. You know, I often

0:20

get the question of why are you thinking

0:22

about bringing extinct species back to

0:24

life? Why aren't you thinking about

0:26

helping living species not become

0:28

extinct? And the answer is we are doing

0:31

both. It is the same tools. It's the

0:34

same technology. It's the same needs.

0:37

And when we excite people with the idea

0:41

of mammoths and dodos and thyloines, we

0:44

get more engagement and enthusiasm and

0:46

investment in developing the technology

0:48

that we can use to stop living species

0:50

from becoming extinct.

0:52

>> Welcome to the Huberman Lab podcast,

0:54

where we discuss science and

0:56

science-based tools for everyday life.

1:01

I'm Andrew Huberman and I'm a professor

1:03

of neurobiology and opthalmology at

1:06

Stanford School of Medicine. My guest

1:08

today is Dr. Beth Shapiro. Dr. Beth

1:11

Shapiro is an evolutionary biologist.

1:13

She was a professor at UC Santa Cruz and

1:16

an investigator with the Howard Hughes

1:17

Medical Institute before leaving to

1:19

become chief scientific officer at

1:21

Colossal Biosciences. Her work at

1:24

Colossal is focused on what is called

1:25

deextincting species such as the woolly

1:28

mammoth, the dodo bird, and the

1:29

direwolf, meaning bringing them back to

1:32

life. But that entire initiative is also

1:34

about species preservation more broadly

1:36

and how genomics can be used to improve

1:38

the global ecosystem. In this episode,

1:40

we discuss what it means to use ancient

1:43

DNA to bring back extinct species, which

1:45

then led us to a broader discussion

1:47

about genetic engineering in human

1:49

health, both of which, by the way, are

1:51

happening right now. So, this is not

1:53

just a projection into what's coming in

1:54

the future. As you'll see, Dr. Beth

1:56

Shapiro is truly a one-of-a-kind

1:58

thinker. And today, you'll learn the

2:00

science, the ethical implications, and

2:02

the positive potential of using genetics

2:04

to de-extinct species and using genetic

2:07

selection and genetic tools to change

2:10

humans. And no, Dr. Beth Shapiro is not

2:12

planning to bring back dinosaurs. And

2:14

today, you'll learn why. Before we

2:16

begin, I'd like to emphasize that this

2:18

podcast is separate from my teaching and

2:20

research roles at Stanford. It is

2:21

however part of my desire and effort to

2:23

bring zero cost to consumer information

2:25

about science and science related tools

2:27

to the general public. In keeping with

2:29

that theme, today's episode does include

2:31

sponsors. And now for my discussion with

2:33

Dr. Beth Shapiro. Dr. Beth Shapiro,

2:36

welcome.

2:37

>> Thank you.

2:38

>> Longtime fan of your work.

2:39

>> Same.

2:40

>> Love animals. Love stories about animals

2:42

that aren't around anymore. heard that

2:45

you're going to bring back the woolly

2:46

mammoths, the dodo bird, and that you

2:48

might have already done something to

2:50

contribute to the proliferation of the

2:51

blackfooted ferret. I'm a big fan of

2:54

muselids, of which ferrets are. We're

2:56

going to talk about all of that today,

2:57

including the ethical implications and

2:59

so on. But I have a very basic question,

3:02

which is how do you decide what a

3:06

species is? Because you have a degree in

3:08

zoology. I always wanted to get a degree

3:10

in zoology but a few years ago we got

3:13

this thing called DNA sequencing. We can

3:15

look at ancient DNA can look at

3:17

skeletons. People have done that for a

3:19

long time and my understanding is that

3:21

it's completely revised the

3:23

understanding of the relationship

3:25

between different animals and the number

3:26

of branches in these phoggenetic trees.

3:30

So, what have we learned that you think

3:32

people might appreciate understanding

3:33

about taxonomy and like a is my dog as a

3:37

bulldog mut [clears throat]

3:39

as a Chihuahua? Are they really the same

3:41

species?

3:42

>> Right? That's a really fascinating way

3:44

to put it. And I think the most

3:46

important thing that most people

3:48

probably don't think about is that

3:51

biology doesn't care what species you

3:54

are. Species is a a human concept. We

3:58

have this incredible proclivity to want

4:00

to put things into boxes so that we can

4:03

talk about them so that we can have

4:05

conversations or share stories or share

4:08

memories. In order to share something,

4:10

we have to know what to call it. That's

4:11

one of the reasons language has been so

4:13

fundamental to the evolution of our

4:15

species and our social structures. So,

4:18

what is a species? probably when you

4:20

learned about species in biology class

4:22

when you were in middle school you

4:24

learned about Ernst Mar's biological

4:26

species concept

4:27

>> kingdom film order genus species like

4:30

this kind of thing clay you

4:31

>> know that's the taxonomy right so we

4:33

have a lanaeus came up with this idea of

4:35

doing taxonomy right so here's an

4:37

interesting taxonomy story I've I've

4:39

spent a lot of my career working on

4:41

bison for unfortunate reasons probably

4:44

or fun reasons or whatever but a lot of

4:46

time working on bison and bison were

4:48

called buffalo buffalo right we think of

4:50

American bison as buffalo it's the same

4:52

thing the same thing but bison is the

4:55

taxonomic name that was given to

4:57

American buffalo by Carl Lanaeus because

5:00

when Europeans were going around the

5:02

world and finding for the first time

5:04

Europeans had seen all these different

5:06

animals if they saw a big animal that

5:08

looked like it would make a good coat

5:11

that was called a boof coat they called

5:14

it a buffalo or a buffalo right so we

5:17

have African buffalo buffalo, an Asian

5:18

buffalo, an American buffalo, and they

5:20

are not related to each other at all if

5:22

you look at their DNA, but they all have

5:24

the same name because they all made a

5:27

good coat at some point, or at least

5:29

there was the idea that they would. But

5:31

taxonomists found this to be very

5:34

disturbing. We want to know what animal

5:37

we're talking about when we say the

5:39

buffalo. And so this is why Carlaeus

5:42

comes up with this scheme. The American

5:44

bison, the American buffalo is called

5:45

bison bison. In fact, the plains bison

5:48

is called bison bison bison. That's a

5:50

genus and a species and a subspecies

5:52

that are all the same thing.

5:53

>> That's the Latin name bison bison bison.

5:55

>> Bison bison bison.

5:56

>> It's almost as humorous as I think it's

5:58

gorilla gorilla for the gorilla.

6:00

>> Gorilla gorilla and llama llama. That's

6:01

one of my favorites, too.

6:02

>> Love it.

6:03

>> Anyway, taxonomy. So, we have these

6:05

taxonomic ways of thinking about things

6:06

and that sorts everything into your deep

6:08

evolutionary history. But species

6:10

concepts are what people use to try to

6:12

say, okay, I have this animal. Is it in

6:15

the same species as this other animal or

6:17

a different species from this animal?

6:19

And the species concept that you

6:21

probably learned Erns May is the

6:23

biological species concept which says if

6:25

they can breed and their offspring are

6:28

fertile then they're the same species

6:30

>> which seems like a good place to start.

6:32

>> It's a good place to start

6:34

>> because even in my understanding from my

6:36

fly biologists friends is that you can't

6:39

mate Drosophila with another species of

6:41

fly and get a fertile offspring. So even

6:43

among flies, there's some restriction.

6:46

And what's wild is that flies and

6:48

mammals of all sorts seem to know. Like

6:50

they actually don't try to mate in most

6:52

cases. They don't try to mate with other

6:55

species, which is fascinating in its own

6:57

right.

6:58

>> Beg to disagree there. I mean, if you

7:00

seen your dog tries, your dog probably

7:02

tries to mate anything it comes across.

7:04

>> Just hit seven [laughter] months. I've

7:05

not seen him hump a single time. He's

7:07

still intact. This time I'm keeping my

7:09

dog intact. We can talk about the

7:10

reasons for that. Health reasons. I

7:11

might get him a vasectomy. People we

7:13

never talk about this, right? You can

7:14

keep your dog intact and just give him a

7:15

vasectomy if you don't want them to

7:16

breed.

7:17

>> Right. Yeah. Right. A guest on this

7:19

podcast said that an animal expert from

7:21

the Karolinska.

7:22

>> That makes so much sense.

7:23

>> She said, you know, in Scandinavia it's

7:25

actually she claims and I believe her

7:28

that it's illegal to neuter a male dog

7:31

unless there's a health reason. In

7:32

Scandinavia and Australia the inverse is

7:34

true. Of course they're upside down, but

7:36

we'll forgive them for that. But yeah,

7:38

they need their hormones for proper

7:39

brain development, right? and we worry

7:41

about them running around and breeding.

7:42

There is this thing called the vasectomy

7:43

which is actually less invasive a

7:45

procedure than the the full neuter.

7:48

Anyway, we don't want to digress too

7:49

much but my dog doesn't try and mate I'

7:51

I didn't see my previous dog try and

7:53

mate with cats or

7:55

>> or even Chihuahua, you know.

7:57

>> Do you think Neanderls and humans are a

7:59

different species?

8:00

>> I don't know. But I want to know if we

8:03

are all the same species. This is an

8:06

edgy topic, right? But if humans I mean

8:08

if if it's somewhat based on

8:10

nomenclature

8:12

and if there's enough genetic variation

8:14

out there is it the case that people

8:18

that we call people are actually

8:21

divergent enough in terms of their DNA

8:22

that two people are not necessarily both

8:24

homo sapiens that there's some homo

8:26

sapiens with an asterisk. I'm not trying

8:28

to cast any hierarchy. They could just

8:30

be different. So you're referring to a

8:32

different species concept which is the

8:34

genetic spec species concept where an

8:37

organism is classified based on some

8:39

threshold of sequence similarity and

8:42

that is a species concept that is as

8:44

valid and valuable a species concept as

8:46

the biological species concept which

8:48

says you can't interbreed. If you're

8:51

interested in conserving species, you

8:53

might use a geographic species concept

8:55

that says, if you live here, you're a

8:58

Florida panther. But if you live in

8:59

Texas, you're a Texas panther. We're

9:01

going to call you different species.

9:02

Biology doesn't care about your species

9:05

concept. Your species concept is

9:07

something that you have adopted to have

9:09

a conversation with another person about

9:11

a particular topic.

9:12

>> Educate us on this Neanderthal piece. I

9:14

know this is a a topic very close to

9:16

home given that your husband works on

9:19

these issues and we can maybe we'll get

9:21

him on here separately but feel free to

9:23

steal his thunder in any way that that

9:24

you feel

9:25

>> uh my husband Ed Green was part of

9:27

spontabo's group when they were

9:29

assembling the Neanderl genome and so he

9:31

spent a lot of time thinking about

9:32

Neanderl I think what's interesting from

9:34

a species concept if we start there with

9:37

what's going on with Neanderls is we now

9:40

know based on studying DNA both from

9:44

Neanderls that used to be alive and a

9:46

different lineage of human called uh

9:49

Denisven we we call it this that was

9:51

first isolated again by Swonte Pabo's

9:53

research group from a tiny little finger

9:55

bone that they found in a cave Denise of

9:57

a cave in Russia that's why they're

9:58

called Denisvens we know that there were

10:00

multiple different species or lineages

10:02

or whatever you want to call them of

10:04

humanike people that were alive at the

10:07

same time and we know that after people

10:10

moved out of Africa to colonize Europe

10:12

they met our ancestors, homo sapiens,

10:16

anatomically modern humans, everything

10:18

you want to call them. They met groups

10:20

of Neanderls and they bred with them. So

10:23

if they were a different species, they

10:24

were violating the biological species

10:27

concept at this point. So again, species

10:29

concepts are just what we make of them.

10:30

And today most people have somewhere

10:34

between 2 and 5% of their DNA that is

10:38

from this ad mixture event, this

10:40

hybridization event between anatomically

10:43

modern humans dispersing out of Africa

10:45

and the Neandertols that were already in

10:47

Europe.

10:48

>> Many questions about this. First of all,

10:50

and try not to laugh, the silhouette

10:53

diagram that we've seen of apes

10:56

gradually in sort of time sequence

10:58

working their way to bipeedal and

11:00

upright. When we see that diagram, is

11:02

that substantiated by the fossil record?

11:04

>> It is. Yes. Um, we know that the the

11:07

lineage that eventually became us

11:09

evolved in Africa. We can trace ancestry

11:11

back to apes and then to primates or

11:14

primates and then to apes and then

11:16

eventually to us. The fossil record in

11:18

Africa is very fragmentaryary. One thing

11:20

that's really been really fun about

11:21

working in ancient DNA is the field of

11:23

paleo anthropology is pretty contentious

11:26

because there are so few bones that are

11:28

out there that if someone finds a bone

11:30

and it's a partial fragment of a jaw

11:32

with a piece of a tooth in it, they can

11:33

use that bone to completely revise what

11:36

we think has happened in human

11:38

evolutionary history. And maybe they're

11:39

right and maybe they're not. And they're

11:41

smart and they've been thinking about

11:42

these things and they compare it to all

11:44

the other bones. So there's a lot there.

11:45

What's brilliant about ancient DNA is

11:48

that if I can find a little pinky bone

11:50

in a cave in Denisa, right? And I can

11:53

get DNA from that. I know that my bone

11:57

has ancestors, right? If I have a bone

12:01

that might be somewhere on that lineage

12:03

to human evolution, I don't know that

12:05

that bone has descendants. I don't know

12:07

that that bone is part of our actual

12:09

family tree or if it's another one of

12:11

the dead ends that went in a different

12:13

direction and eventually became extinct.

12:15

But that is one of the coolest things

12:16

about being able to sequence one of

12:18

these bones because now you know what it

12:21

is and now you can line it up against

12:23

all the DNA from all of the people that

12:25

are alive today and discover things like

12:28

we all have ancestry because there was

12:30

breeding between these lineages because

12:32

they could and because I think that if

12:35

they can they do.

12:38

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to save up to $200. It's interesting,

15:27

right? Because if you took the far ends

15:29

of the spectrum of the, you know, the

15:31

old world primate, you know, apes and

15:33

then the upright human walking, my

15:36

assumption is that let's just say you

15:37

used artificial insemination that you

15:39

wouldn't actually get viable

15:41

reproductively competent offspring from

15:42

those. But at some point, you know, two

15:44

different species, again, it's a

15:47

nomenclature or two, some at some some

15:49

point, but two non- genetically similar,

15:52

I don't want to say identical because

15:53

they're not twins, right? So, I don't

15:55

have a language here, forgive me, but

15:57

you can get breeding across species and

15:59

get reproductively viable offspring.

16:02

That that has to be the way this

16:04

happened, right? It couldn't have just

16:05

been through spontaneous mutations that

16:07

suddenly took animals from quadripeds to

16:10

bipeds. No, this is a very long and slow

16:13

evolutionary process. It's actually a

16:15

really good question and I think it's an

16:16

open question in evolutionary biology

16:18

and it's probably different. Evolution

16:21

does happen because of random mutations

16:24

that accumulate in a genome. And if you

16:26

think about what might happen if two

16:28

lineages are isolated from each other

16:30

for a really long time and in different

16:33

habitats, say this lineage is adapting

16:35

to the habitat that's it it's in. Maybe

16:37

it's, you know, very rainy and there's a

16:39

lot of water and there's a lot of floral

16:41

plants and over here it's drier and

16:44

there's really scrubby plants. There's

16:46

different selective environments and as

16:48

mutations arise in that genome,

16:50

different ones will go to fixation. The

16:53

size of the population also matters. If

16:55

a population is really small, even

16:57

mutations that arise that are bad can

17:00

become fixed in that population just

17:01

because the population is small and it

17:04

just happens by chance. And so over time

17:06

these two will become more and more

17:08

different from each other. So what

17:10

happens when they come back in in

17:12

contact with each other? I think it will

17:15

really depend on what those mutations

17:17

that arose over that time was. It could

17:19

be that there's a very short

17:22

evolutionary time but a mutation has

17:23

arisen that means the sperm can't

17:25

fertilize the egg or the egg can't

17:27

subdivide properly if you have a hybrid

17:30

ancestry. Or it could be that nothing

17:32

really has happened over a really long

17:34

evolutionary time and ad mixture can

17:37

happen.

17:37

>> Humans in the anderls diverged somewhere

17:40

300 to 500,000 years ago. That's not

17:42

very long ago in evolutionary time.

17:45

Brown bears and polar bears diverged

17:46

about half a million years ago. And we

17:48

know that they can readily interbreed

17:50

and do whenever they overlap in habitat.

17:53

Yeah, they're called grer bears or

17:56

pizzly bears depending on which

17:58

direction. I know they're terrible

18:00

names, right? You want a different name

18:02

for this really

18:03

>> especially if you're a bear. [laughter]

18:04

>> Yeah.

18:05

>> But that's been happening throughout

18:06

their evolutionary history. We can see

18:08

this because using ancient DNA, we were

18:09

able to go back. We found um a polar

18:12

bear off the coast of Alaska that

18:13

probably lived more than 100,000 years

18:15

ago. And it had ancestry that we see in

18:18

brown bears everywhere in the world,

18:20

suggesting that that bear's ancestors at

18:23

some point or that bear's descendants

18:25

had hybridized with brown bears and that

18:27

DNA got passed around. We know that

18:29

during the last ice age, there were

18:30

polar bears that got trapped on the ABC

18:33

islands in southeast Alaska. And when

18:36

brown bears expanded from the mainland,

18:38

they interbred with those polar bears.

18:40

And brown bears all alive in North

18:42

America today have polar bear ancestry.

18:45

That is because of that interbreeding

18:47

20,000 years ago or so.

18:49

>> Wow.

18:49

>> Yeah. So, in that case, a half a million

18:51

years had gone by. They're really

18:53

adapted to different habitats and yet

18:55

they can interbreed. But what's most

18:58

interesting and I think is relevant to

18:59

your question is that those hybrid bears

19:04

only ever live and survive as brown

19:06

bears. We see no evidence of brown bear

19:09

DNA getting into polar bears. And that

19:13

is again because of how evolution has

19:16

worked. And it's especially interesting

19:17

because it only really happens in the

19:19

direction where the mom is a polar bear

19:21

and the dad is a brown bear. Polar bears

19:24

are induced ovulators. So the presence

19:26

of a male will call them to ovulate,

19:28

cause them to ovulate. So you can

19:29

imagine situation where a brown bear

19:31

wakes up from hibernation, goes on to

19:33

polar bear habitat to scavenge for food,

19:35

comes across a polar bear female,

19:37

induces ovulation and they mate. The

19:39

other way around where a polar bear male

19:42

finds a seasonally ovulating brown bear

19:44

female probably wouldn't happen because

19:45

the timing of overlap wouldn't be right

19:47

and also he would probably kill her

19:49

rather than mate her because of the size

19:51

difference and difference in what

19:52

they're doing. So why is it then that

19:54

since bears live with their moms, all

19:57

the brown bears that we see that have

19:58

polar bear ancestry are brown bears, not

20:01

polar bears? We were working with some

20:02

polar bear biologists when we were doing

20:04

this analysis many years ago and their

20:06

hypothesis was simply that if you have

20:08

brown bear ancestry, you don't have

20:10

perfectly white fur and you cannot

20:12

successfully hunt seals. So it is just

20:16

adaptation that means that that ad

20:18

mixture doesn't work, right? So even

20:20

though there's no problem with the sperm

20:22

and egg mixing and the animal is born,

20:24

they cannot survive as polar bears and

20:26

so polar bear stays separate from brown

20:29

bear in that way.

20:30

>> I'm going to bring up dogs again, but in

20:32

the back of my mind is a conversation

20:34

about humans and this question about

20:36

different species of prior to homo

20:38

sapiens or homo sapiens and nearby

20:40

species having reproductively competent

20:42

offspring. So in the dog world, it's

20:46

well known that the English bulldog,

20:48

which has a big head, small hips, is the

20:51

byproduct of many crossings, but it's

20:53

basically the bullmastiff and the pug.

20:57

And this was an attempt to generate an

20:58

animal with a short snout so it could

21:00

clamp down for bull baiting, which

21:02

fortunately is an illegal sport now, and

21:04

to clamp down and not get shaken off by

21:07

the bull very easily.

21:08

>> Uh the floppy face is associated with

21:10

lack of pain receptor. There's a bunch

21:11

of things in the bullmastive lineage

21:12

that they want, but they wanted a low

21:14

center of gravity, so they took the pug.

21:16

But when you cross them, of course, the

21:17

females can't give birth because the

21:19

birth canal just doesn't allow for it,

21:21

>> right?

21:22

>> Humans realize this pretty quickly and

21:24

they learn cescareian section. So, I

21:25

could imagine a situation, although I

21:28

don't tend to think like this today. I'm

21:29

imagining a situation where homo sapiens

21:32

and some other non-hom homo sapien

21:35

humanish species were having sex

21:39

sometimes getting pregnant but the

21:41

babies would always die because the

21:43

birth canal and that structure of the

21:44

pelvis wasn't quite right to allow the

21:47

head size through which you know there a

21:48

lot of I hear a lot of arguments that

21:50

you know humans sort of optimized for

21:52

just enough space so that the large

21:54

humans you know we love to talk about

21:56

how big our brains are right could pass

21:58

through but no larger and and not much

22:00

smaller in most cases.

22:01

>> One of the reasons that giving birth is

22:02

one of the ways that women have died in

22:04

our evolutionary history.

22:06

>> Right. And and cesareian sections I

22:08

probably have changed human evolution in

22:10

that sense as has a aseptic you know

22:12

conditions and things like that.

22:13

>> Absolutely. For me my child was cesarian

22:15

birth. So

22:16

>> right. So, I like to think you would

22:17

have survived anyway, but the um but I

22:19

could imagine a mutation that was an

22:21

adaptive mutation where suddenly this

22:24

other species which maybe had a smaller

22:26

pelvis, a female could deliver this

22:28

child live. The the mother survived as

22:31

well and then that DNA, you know,

22:35

propagates so that there are now humans,

22:38

maybe it's been bred out, but that there

22:40

are or were humans walking around who

22:42

are not completely homo sapien or is it

22:44

not not possible? I don't know about

22:47

what's known about hip size or anything

22:48

like this, but but it is true that

22:51

humans and our archaic cousins Neanderls

22:53

interbred and that people walking around

22:55

today have Neanderl DNA.

22:57

>> 2 to 5% you said

22:58

>> two to 5%. What's interesting about that

23:01

and it touches a little bit on the

23:02

adaptation component that you you raised

23:05

is that I think most people or a lot of

23:07

people have heard this number. We have 2

23:09

to 5% Neanderl DNA. less well understood

23:13

is that it's a different 2 to 5%. Like

23:16

the 2% Neanderl that is in my genome is

23:19

different from the 2% or maybe 5%

23:22

Neanderl that's in your genome is

23:23

different than the next person.

23:25

>> So it could be heart, liver, skeleton

23:27

and uh spleen for me and it could be

23:29

some other constellation for you.

23:31

>> Could be anything. And if we were to go

23:33

around the world today and pick out all

23:36

of the pieces of Neanderl DNA that exist

23:39

in humans today, we would put together

23:42

more than 90% possibly more than 95% of

23:46

the Neanderl genome just from people who

23:48

are alive today. And that tells us that

23:50

most of the Neanderl genome was not

23:54

maladaptive for people that pretty much

23:57

all of it could get passed on and live

23:59

in healthy humans today.

24:01

>> Interesting. We don't know what happened

24:03

in the other direction, right? We we see

24:05

Neanderl bones and there hasn't really

24:08

been any evidence of humans admins with

24:10

Neanderls. There has been evidence of

24:12

hybrids between Neanderls and Denisven.

24:15

This is really one of the most exciting

24:16

things that ancient DNA has been able to

24:18

contribute, I think, to understanding

24:20

human disease and human medicine and

24:21

what it means to be human. Because

24:23

before we had the Neanderl genome, if we

24:25

wanted to know what in our DNA makes us

24:28

human, we would have to compare all the

24:30

humans that are alive today with our

24:33

closest living relative, which is a

24:34

chimpanzeee or a bonobo. So there's 3 to

24:37

5 million years of time between when we

24:40

shared a common ancestor. And a lot of

24:42

change happens in 3 to 5 million years

24:45

in your DNA. And some of it is useful

24:47

and some of it is what makes us human.

24:49

And most of it is just not. It's just

24:51

changed cuz copying errors during

24:54

copying cells and that's what happens.

24:56

That's how we're different. Every child

24:58

that's born has about a hundred

24:59

differences compared to their parents

25:01

because of copying error in the process

25:03

of making the sperm and making the eggs

25:04

that made that kids. So when we got the

25:07

Neanderl genome, that 3 million to 5

25:10

million year long branch leading to us

25:13

was shortened to 300,000 to 500,000

25:16

years by an order of magnitude. So now

25:18

if we want to know what it is that makes

25:20

us human, we have a much smaller list of

25:24

mutations or variants that we can look

25:26

at. And because we now know that 95% say

25:30

of the Neanderl genome exists in people

25:32

today, we've narrowed that list down

25:34

even further to that other 5%. What's

25:38

going on in that 5% of the genome where

25:40

no living person has Neanderl DNA? That

25:44

is where the stuff that the baby had to

25:46

have the human version in order for that

25:48

baby to survive. And that's where we

25:50

look to see what it is that made us

25:52

human.

25:53

>> A few years back when 23 and me and

25:55

these other uh companies started making

25:57

genomics in humans easier and more

26:00

affordable. A lot of guys boast about

26:03

Neanderthal DNA being vigor genes

26:06

whereas women try and downplay the

26:08

amount of Neanderthal DNA that they have

26:10

when they get their results. I found

26:11

that interesting. Is there any evidence

26:13

that the Neanderthal genes are quote

26:15

unquote vi vigor genes that they allow

26:17

for more durability of human male or

26:20

female?

26:21

>> It's an interesting question. If you

26:22

just look at that 2 to 5% of nano DNA

26:24

that we all have, most of it is not

26:26

anything that is under selection. So you

26:29

see it at about 3% frequency or so in

26:32

different populations. What is

26:34

interesting is when a piece of Neanderl

26:36

DNA is suddenly much more common in a

26:38

population of humans because that would

26:40

suggest I got some DNA from my Neanderl

26:43

ancestry and that bit of DNA suddenly

26:46

made me more fit because I had that bit

26:48

of Neanderl DNA. I was able to survive

26:50

and have more kids than everybody else

26:51

and so it increases in frequency

26:53

compared to average. And this has been a

26:55

really interesting thing to learn when

26:57

you think about Neanderl DNA. There are

26:59

a couple of things that have come out.

27:00

There are genes that are common in Latin

27:03

American populations that come from

27:05

Neanderls that predispose to type 2

27:07

diabetes. There is another gene that I

27:10

think was again in a Latin American

27:12

population that makes people feel I

27:14

can't remember if it was more pain or

27:15

less pain, but it did have to do with

27:17

pain sensation. And I remember there was

27:19

a trial of people in Colombia where they

27:20

got to feel pain in some way and there's

27:22

a Neandertol gene associated with this.

27:25

But most of the really interesting ones

27:27

have been at inimmune related genes

27:30

during the pandemic. One of the first

27:32

alals that was discovered to be

27:34

associated with negative risk or bad

27:37

outcomes of COVID was a gene that came

27:40

from Neanderls. So it's a Neandertol

27:43

derived gene that was at something like

27:45

50% frequency. So way above the 3%

27:48

average frequency in Asian populations.

27:51

And it it made people more susceptible

27:54

to the virus entering your lungs. And

27:56

presumably it only became that high

27:58

frequency because it was protective

28:00

against some other disease that was

28:01

circulating in the past. But the

28:04

trade-off of that is that it of course,

28:06

you know, made them more susceptible to

28:08

CO. There was another Neanderl

28:09

associated alil that was actually

28:11

protective against CO. So I think our

28:14

ancestors have been subjected to

28:16

different diseases and pandemics and

28:18

things that have happened throughout

28:20

life and we see the traces of that in in

28:22

ancient DNA. We can now go into

28:25

graveyards in Europe and and actually

28:28

isolate plague from dirt and from bones

28:31

from people who died of plague and look

28:32

and see how their immune systems and

28:35

genes have responded to exposure to to

28:37

things like this. It's really

28:38

fascinating.

28:39

>> Wow. My red head friends like to claim

28:42

that they have more Neanderthal and

28:45

therefore more vigor and pain

28:47

resistance. So I'm guessing the study

28:48

probably said more pain resistance. It

28:50

we have pain experts on here that verify

28:52

that indeed on average

28:55

>> that red heads tend to require more uh

28:57

anesthesia on average. So that tracks

29:00

but were neanderthalss were a lot of

29:02

them gingers.

29:03

>> Yes. This comes from studying at MC1R a

29:05

gene that's associated with the red

29:06

melanin. mammoths as well. They had I

29:09

mean you can see mammoth you can see

29:11

mammoth mummies with the actual hair and

29:13

you can see that they're kind of I don't

29:14

know if it's because they all bleached

29:15

to red, but there definitely is a um

29:18

some evidence from their genome that

29:20

they had reddish colored hair. Yes.

29:21

>> Interesting. Maybe we could just briefly

29:23

talk about eye color. Is it true that

29:25

all blue-eyed people descended from a

29:27

single blue-eyed human at one point?

29:29

This almost sounds like some eugenics

29:31

thing, but that's not why I'm asking.

29:33

Um, you also see a lot about how true

29:36

greeneyed people are are quite rare. Was

29:38

there a time when the population of

29:39

humans on Earth had a lot more greeneyed

29:41

people?

29:42

>> I think all of the colors, if you if you

29:44

look at um African populations mostly,

29:46

it's like me, dark eyes. I think that's

29:49

probably the ancestral state, but there

29:50

are lots of different eye colors that

29:52

have evolved and I think they're

29:53

selected for. I mean, people like things

29:55

that are different and unique and so

29:56

people want a mate that has blue eyes

29:58

and stuff. really think that that it was

29:59

selected for it.

30:01

>> Probably eye color was was sexual

30:02

selection. I I don't know what other

30:04

benefits blue eyes could have other than

30:06

looking very, you know, stoic and cool

30:09

as you're like trying to hunt down

30:11

something on them. [laughter]

30:14

>> Oh, geneticists are so much fun because

30:16

they're they're willing to just go

30:17

there. I was going to ask you this

30:18

question later, but I'll ask now because

30:20

it relates to what we're on to now. You

30:22

know, we tend to think of our lives in

30:24

in the time bin of our lives, you know,

30:26

roughly 100 years if we're lucky, right?

30:28

You know, at this stage of human

30:30

evolution for about 100 years, maybe 80,

30:33

maybe, you know, if we're fortunate, 90,

30:34

[clears throat] 100. But as somebody who

30:36

studies long periods of time and what's

30:39

happened to our species and other

30:40

species across long periods of time,

30:42

>> I'm always curious about this. I know

30:43

you have to make your coffee in the

30:45

morning and do every and you know manage

30:46

your life like anybody else in in the

30:48

today and in the week and in the month

30:50

and in the year but do you do you sit

30:52

back and think of all the different tens

30:55

and hundreds and thousands and millions

30:57

of years that I could focus on I'm going

30:58

to focus at this time bin right it's a

31:01

it's an interesting way to live now I'm

31:04

just curious how you pick the problems

31:07

that you choose to work on because we'll

31:08

talk about deextinction but you know why

31:11

the woolly mammoth why not like get the

31:14

Florida Panthers rebooted um completely.

31:17

Maybe why not both, right? But in terms

31:20

of just, you know, where to focus, like

31:22

why bring back things from way back when

31:24

>> as opposed to, you know, maybe we could

31:27

name a few species that uh disappeared

31:29

in the last 200 years. I'm guessing

31:31

there are

31:31

>> quite a few.

31:32

>> Yeah.

31:33

>> You know, how do you pick? And when

31:35

you're making that decision, what's

31:37

guiding it at the ethical level? What's

31:40

guiding it at the practical level? like

31:42

what what really are you trying to

31:43

accomplish? Cuz the stuff about humans

31:44

is fun place to play and put in the

31:47

backdrop. We'll return to it. But your

31:49

work's really focused on the extinction.

31:51

>> Mhm.

31:51

>> And like dinosaurs are one option.

31:54

Woolly mammoths are another. And you

31:56

know, just making sure that we don't

31:58

lose any species that we've got right

31:59

now. Also seems like a very very

32:01

important indeed noble pursuit.

32:04

>> Yes, there's that's a very complicated

32:06

set of questions there. Um, I think I'll

32:09

start with

32:12

what is motivating. And I think what's

32:15

motivating is what drives the selection

32:17

of the species. In fact, it's funny. I I

32:20

wrote a book a long time ago now called

32:22

How to Clone a Mammoth. And the first

32:23

chapter was how to pick a species. What

32:25

are you going to do? How are you going

32:26

to choose a species to bring back? And

32:28

there are technical, ethical,

32:31

ecological, and social reasons to pick

32:34

any of the species that you can.

32:36

Technical. These are the easiest, right?

32:39

We can't bring a dinosaur back to life

32:41

because we don't have dinosaur DNA. The

32:43

oldest DNA that we have ever recovered

32:46

from a bone is from a mammoth bone. A

32:48

mammoth's bone probably dates to around

32:50

1 to2 million years ago.

32:52

>> It's hard to know how old it is in that

32:54

time range because there's not a really

32:55

clean way of dating something within

32:57

that time range, but it's old. Dinosaurs

32:59

went extinct more than 66 million years

33:01

ago. So, that's far outside of where

33:03

we're going to get recoverable DNA. And

33:05

that's because the skeletons just don't

33:07

>> they're fossilized. They've turned into

33:09

rock, right? So

33:10

>> there's there's no shred of DNA left.

33:12

>> Yeah. As soon as an organism dies, the

33:15

DNA in its cells starts getting chopped

33:17

up into smaller and smaller and smaller

33:19

fragments until eventually there's

33:21

nothing left. This is really by three

33:23

processes. UV light. We know about this.

33:25

It's why we wear sunscreen when we go

33:27

outside. But the UV light hits your DNA

33:29

and it actually breaks it. And when

33:31

we're alive, we have proofreading

33:33

enzymes that will come and fix your DNA

33:35

so you don't get cancer every time you

33:36

go outside. But that is an energy

33:39

requiring process. And after you die,

33:41

there's no more energy. So the breaks

33:43

from UV accumulate. Freezing and and

33:45

thawing is water molecules expand and

33:48

will physically break the DNA fragment.

33:51

So that's bad for DNA preservation. And

33:54

most importantly, just microbial decay.

33:56

The fungi, the bacteria that get into an

33:59

organism when it's decaying. and chew it

34:01

up to transform that carbon and nitrogen

34:04

into the next generation of organisms,

34:06

right? And so that process is slower in

34:09

some environments than others. Exactly

34:11

in the same way that your sandwich will

34:14

rot faster if you leave it in the sun

34:16

versus in the shelf versus in the fridge

34:19

versus in the freezer. DNA will preserve

34:21

for longer in the cold Arctic where

34:24

things are rapidly buried in frozen dirt

34:26

and they stay that way for a million

34:28

years. like this mammoth bone that we

34:30

were able to recover DNA from. But if

34:32

you die in a very hot, wet, swampy place

34:34

like Maitius, where the dodo lived, it's

34:37

another one of the species that we're

34:38

working on at Colossal. Very little

34:40

chance you're going to be able to

34:41

recover DNA from any of the fragments

34:44

that are on Maitius Island. And I have

34:46

tried like hundreds of bones from

34:47

Maitius. We have a great dodo genome,

34:49

but it's from a bird that went to Europe

34:51

alive on a ship and is part of the

34:54

collection at the Danish Museum of

34:55

Natural History. So you have to have a

34:58

wellpreserved sample that you can get

35:00

DNA from. Ideally many of them because

35:03

you want to know what are the DNA

35:05

changes that made a mammoth a mammoth

35:07

instead of another type of elephant.

35:08

Right? So many of them will help you to

35:10

do that. But one is good enough to get

35:12

some sort of template for what you're

35:13

going to do. You probably should know

35:16

what caused that species to go extinct

35:19

in the first place so that you don't

35:21

bring something back that becomes the

35:23

first species to be deextinct. and then

35:26

the first species to be re-extinct

35:29

>> or bring back something really nasty

35:31

that knocks out a bunch of other

35:33

species.

35:33

>> Yeah, you have to understand the role

35:35

that that animal played in the ecosystem

35:37

and whether that niche is still

35:39

available. I mean, ecosystems

35:42

don't live in a vacuum just waiting for

35:44

something to come back. And in some

35:47

cases, there's a real ecological driver

35:49

for the species that we're focusing on.

35:50

We feel like there is a real ecological

35:53

role for these species to play. That

35:55

these ecosystems are destabilized

35:57

because of extinction. And by bringing

36:00

back these key ecological interactions,

36:02

we can make those ecosystems more robust

36:05

and more resilient in the face of all

36:07

the crap that people are always throwing

36:08

at our natural ecosystems.

36:10

>> Could you give me an example of of that?

36:12

So, if you were to bring back woolly

36:14

mammoths, I'm guessing that's not going

36:16

to save the Amazon forest. But what what

36:18

probably is going to do something useful

36:20

based on what you just said.

36:21

>> Yeah. So, if you think about what large

36:24

animals, large herbivores do in their

36:26

ecosystem. They turn the soil by walking

36:29

around. They knock down things.

36:32

Elephants knock down trees. Mammoths

36:33

probably lived places above trees, so

36:35

that wasn't what they were doing, but

36:37

they were distributing seeds and

36:38

nutrients. Have you heard of Pletoine

36:40

Park? This is up in northeastern

36:42

Siberia. There are these two scientists.

36:44

It's actually Sergey Zimov who's a

36:45

Russian Academy scientist and his son

36:46

Nikita. They've been running this park

36:48

up in northeastern Siberia for a long

36:50

time. And they have been really

36:54

interested in understanding what happens

36:56

when you restore all of the species that

36:59

used to live on the tundra to the tundra

37:01

ecosystem. And they have bison that

37:04

they've brought in from Canada and wild

37:06

horses and several species of deer and

37:08

muskox. and they've seen that having the

37:11

animals on the landscape that they've

37:14

fenced off actually causes the plants to

37:17

come back with more verocity. So these

37:20

animals, they have to eat during the

37:23

winter. So in order to find food, they

37:26

scrape the snow off of the surface of

37:29

the dirt. In the absence of these

37:31

animals, the snow stays on the surface

37:33

and snow is a very efficient insulator.

37:36

So, it traps the summer heat in that

37:38

frozen sediment, causes the sediment to

37:41

melt faster, and when the plants come

37:44

back, it's a particular type of plant

37:45

that can live in that moist sediment.

37:48

With the animals, you get a a mosaic

37:51

landscape where there's some parts that

37:53

are moist and and wet. there are other

37:56

parts that have been exposed and they're

37:57

dry and colder and you get broader

37:59

diversity of plants that are coming back

38:02

where these animals are. So, they are

38:03

essentially recreating their ecosystem

38:06

just by being there.

38:08

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co-enzyme Q10 with your first AG1

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subscription. Okay? So, you're picking,

39:23

look, you don't have to pick a species,

39:25

but you got to pick something if you

39:27

know two or three, right? I can't say

39:29

like we're going to bring back

39:30

everything from a given era. So,

39:33

>> so we did technical, ethical,

39:35

ecological. I think another answer is

39:38

what is going to make an impact right

39:40

when I joined Colossal, we didn't have a

39:43

bird program, but I really wanted there

39:46

to be a bird deextinction program

39:48

because all of the tools that we are

39:50

developing for deextinction are the same

39:53

tools that we can use to use synthetic

39:56

biology to modify the genomes of living

39:59

species and help them avoid becoming

40:01

extinct. And so the kit that we're

40:04

building from multiplex genome

40:06

engineering to cellular rejuvenation to

40:09

iPS cell technologies for wild animals

40:12

to even learning the link between

40:14

particular letters of the DNA sequence

40:17

and what those letters actually do to

40:19

cause an animal to look the way that it

40:21

does. Right? All of that is applicable

40:24

across the board. So the stack that

40:25

we're building for de-extinction for

40:27

synthetic biology stack applies to

40:29

synthetic biology for conservation. So

40:32

when I joined Colossal and there wasn't

40:33

a bird program, they had launched the

40:35

mammoth program which is a placental

40:37

mammal and the thyloine program or

40:39

Tasmanian tiger that's a marsupial

40:41

mammal. But birds are among the most

40:44

endangered species on the planet and it

40:46

is not possible to clone birds using

40:50

sematic cell nuclear transfer the

40:52

process that most famously brought us

40:53

Dolly the sheep because we don't have

40:55

access to the egg cells at the right

40:57

stage. So while that process is really

40:59

pivotal and integral to our mammoth and

41:02

thyloine and the other mamalian project,

41:04

it's just not possible to use it for

41:06

birds. And so I wanted a program that

41:09

was going to help us develop

41:11

technologies for birds. So why did we

41:13

pick the dodo compared to any other bird

41:16

for the first one?

41:17

>> Cool beak. It comes down to that which I

41:20

also think is a really important part of

41:23

talking about this project and it's the

41:25

idea of awe of being excited about

41:30

something. We get kids drawing animals

41:33

that drawing mammoths and bioines and

41:35

dodos and sending them to us all the

41:36

time. Ben has put them in frames up

41:38

around some of them are good. The dodo

41:40

with its sort of rounded top beak also

41:44

and the way the eyes are typically

41:46

drawn. It also has a kind of cartoonish

41:48

friendly toucan Sam type of look.

41:51

>> Well, it was in Alice in Wonderland.

41:52

Most of what we know about the dodo is

41:54

from cartoonish drawings of this animal.

41:56

There are some and of course there's

41:57

skeletons that we can piece together

41:59

using the many many bones in Maitius

42:01

that do not have any DNA in them based

42:03

on my very best tries.

42:05

>> You didn't choose to bring back like a

42:06

75 foot long python. Thank goodness. Oh,

42:09

but there may be virtue in doing that.

42:11

>> There might [clears throat] be. Although

42:12

I think there are plenty of pythons in

42:13

Florida Everglades right now.

42:15

>> I'm not a snake fan. No disrespect to

42:17

the snake lovers. But talk about uh bird

42:21

developmental genetics for a second. Not

42:22

to scare anyone away, but hang in there.

42:24

A few years ago, I saw something that um

42:27

two female condors can reproduce.

42:30

>> Crazy, right?

42:31

>> And this, of course, for

42:32

>> it actually wasn't two female condors

42:34

reproducing. It was one female condale

42:37

just having an egg all on her own.

42:39

>> Yeah. And because of the socopolitical

42:42

implications, this got people in well,

42:44

we're from Northern California pretty

42:45

excited. They were like, "Okay, we don't

42:47

need men after all." Right. That was the

42:48

That's always That was the You know,

42:50

>> that's funny cuz what I heard was life

42:52

finds a way. So, how did one female

42:55

condor, who we trust her when she says

42:58

that she never mated with a male condor

43:01

or a female condor, we believe her, was

43:04

able to reproduce.

43:05

>> My scientific explanation is that

43:07

meiosis didn't fully separate and she

43:10

ended up having a fertilized egg or

43:12

>> we should explain meiosis. So the

43:13

separating of the of the

43:15

>> of the cells during during the very

43:17

early phase when you're making eggs or

43:19

making sperm, you're trying to duplicate

43:21

your cell, but instead of that, you make

43:22

two versions of the cell that only have

43:24

one copy each of your [clears throat]

43:26

chromosomes. So when normally in normal

43:28

reproduction, an egg that has one copy

43:31

of the set of chromosomes and a sperm

43:33

that has one copy of the set of

43:34

chromosomes come together, they're

43:36

fertilized. The resulting eventually

43:38

embryo has two copies, one from mom and

43:40

one from dad. In this case, there was no

43:43

sperm. There was an egg that had both

43:45

copies, probably because of a mistake

43:47

during meiosis. Like, they didn't

43:48

separate out properly and that was able

43:50

to develop full term.

43:52

>> Was the offspring viable?

43:54

>> Yes.

43:55

>> What's weird about that? Yes. I mean,

43:58

it's very very cool and and um very

44:00

clear the way you described it how that

44:02

could happen because you need the two

44:04

sets of chromosomes. So, both sets came

44:06

from mom in this case and only mom. But

44:08

in humans where that happens uh and it

44:10

does happen on certain chromosomes these

44:12

homozygosity effects they happen under

44:14

certain conditions like there are these

44:16

paternal or maternal imprinted

44:18

conditions like praater willy syndrome

44:20

where paternal DNA gets kicked off and

44:22

you have two copies from mom which

44:24

doesn't sound like a bad thing unless

44:27

there are things on the paternal

44:28

chromosome that are required for

44:29

development and the reverse also happens

44:31

like in Angelman syndrome I think it is

44:34

that all the genes that everyone healthy

44:37

walking around out you and me and have

44:39

genes that only came from our mom

44:42

>> and only from dad. And so if you get two

44:44

copies from mom of a chromosome or two

44:47

copies from dad, you end up with like

44:49

pretty severe deficits in brain

44:51

development and other things

44:52

>> and some things. And you also could

44:54

never be a boy because the one gene that

44:56

turns on that cascade of male

44:58

development is called SRY. It's on the Y

45:00

chromosome. So without that gene, you

45:03

would never be a boy. You would always

45:04

be a girl. Tricomemes where you get two

45:06

copies from mom and one copy from dad.

45:08

Those can also be bad because of

45:10

different levels of gene expression

45:11

>> is down syndrome.

45:12

>> Down syndrome is tricome 21 and there

45:14

are a few other tricomemes that are

45:17

>> compatible with life. Try 21 is the most

45:20

common one because those people can live

45:22

obviously with some challenges

45:24

additional challenges because the

45:25

additional chromosome but they can live

45:26

full lives till relatively middle age.

45:29

Right? Is there a way of looking back at

45:32

the ancient DNA of different species and

45:34

knowing if they reproduce the way we

45:36

imagine they reproduce? I'm not talking

45:38

about the actual verb sex. I'm talking

45:40

about the repro like somehow sperm and

45:42

egg met but or there was something more

45:45

like the condor you were just describing

45:46

where the females were able to reproduce

45:49

through these kind of unusual

45:51

[clears throat] myiotic events.

45:52

>> Um I think because well obviously sex

45:54

has evolved a bunch of different times

45:56

on the on the animal or the tree of

45:58

life, right? And so different ways of

46:01

doing sex have evolved. So we have this

46:04

XY process where the males are what we

46:07

call the heterogimedic sex. So the males

46:09

have an X and a Y and the females have

46:10

two X's and they don't have a Y. But do

46:13

it differently. They have the WZ and

46:16

it's the the females that have the two

46:18

different chromosomes. The males that

46:19

don't. And then there are, you know,

46:20

alligators and crocodiles and they do

46:22

sex determination based on the

46:24

temperature at which the egg is sitting

46:27

during a very critical period during

46:29

development. And so,

46:30

>> yeah, there's like there are communities

46:32

online

46:33

>> I've learned that actually believe this

46:34

kind of stuff for humans. There all

46:36

these theories about how to get a male

46:37

or female offspring based on position of

46:39

intercourse, temperature, location,

46:42

food. None of it beats chance,

46:45

>> right? Um

46:45

>> or if you really want ixxie right which

46:48

is the process by which you take an egg

46:49

and you take a particular sperm

46:51

>> that you know whether it's carrying the

46:53

Y chromosome or not and use that to

46:54

fertilize the

46:55

>> can you actually determine the XX or XY

46:58

of the sperm and they can do that now

47:01

you can do it

47:01

>> you can select so you can do true sexual

47:04

selection

47:04

>> you can and it's because the Y

47:06

chromosome is teeny teeny tiny compared

47:08

to the X and so you can centrifuge them

47:10

and because they're smaller they sort

47:12

out.

47:13

>> Got it. So you can spin sperm around.

47:15

Don't do this at home. And then based on

47:17

how the different things of different

47:19

weights basically spin out to different

47:20

depths. And so you can bias the

47:23

likelihood that you'll get a XY carrying

47:25

sperm or an XX

47:26

>> caring.

47:27

>> Or you can use cloning like we are at

47:29

Colossal and like we're thinking about

47:30

in synthetic biology where you actually

47:32

know the sex because you're starting

47:34

with an actual sematic cell, a tissue

47:36

cell of that animal instead of using a

47:38

sperm and an egg.

47:39

>> So let's talk about that. And before we

47:41

do that, we should probably do a brief

47:43

developmental neurobiology lesson. You

47:45

beautifully told us what meiosis is. You

47:48

know, sperm or egg, you have 20. Well,

47:50

in humans, it's 23 chromosomes. So, you

47:52

only have half so that they can meet in

47:54

conception and then start to divide and

47:57

create more cells that become the

47:58

embryo, right? And so, in these other

48:01

species, I guess you know how many

48:02

chromosomes there are. And I must use

48:04

the woolly mammoth or the cuz it's a fun

48:06

one. Birds [clears throat] are

48:07

complicated. As a developmental

48:08

neurobiologist in my past, the bird

48:10

stuff gets tricky. Reptiles

48:12

>> birds are tricky and there's really

48:13

tricky.

48:14

>> Some birds are trickier than others. I

48:16

did not know until I joined Colossal

48:18

that there are some birds that have a

48:20

what's called a germline restricted

48:21

chromosome which doesn't exist in any of

48:24

their cells except for the germline.

48:26

>> Germ line or the sperm and eggs.

48:27

>> Sperm and eggs. And it comes into being

48:29

this chromosome just in the germ line

48:31

and then it disappears.

48:33

>> Wow.

48:33

>> I know. Biology is amazing. The birds

48:36

have these like mini mic chromosomes

48:37

that are a pain to assemble. And if

48:39

you're sequencing DNA from an extinct

48:42

species where the DNA fragments are

48:43

really short and you have to do it by

48:45

taking each one of those really short

48:46

fragments and trying to figure out where

48:48

on a whole genome it goes best on a

48:51

computer. We don't actually do it with

48:52

our with like a tweezers or anything

48:54

like that. But

48:55

>> yeah, the birds are really cool animals,

48:57

but they from reproductive biology

48:59

standpoint, it's it's tricky. So with

49:01

the woolly mammoth was a mammal.

49:03

>> Yes.

49:04

>> Right. Okay. And you know that because I

49:06

mean people can say well duh because

49:08

people normally think oh it has fur must

49:10

be a mammal but that is not necessarily

49:11

true right you have monotremes and all

49:13

this other stuff. So you know it's a

49:15

mammal because there's evidence of

49:16

lactation. How are you deeming it a

49:19

mammal

49:19

>> using its genome. So we've been able to

49:21

sequence whole genome sequences high

49:23

quality whole genome sequence sequences

49:25

from multiple mammoths that date to the

49:28

last million and a half years. And we

49:30

can assemble those genome sequences

49:33

using a computer and then we compare

49:35

them to other animals that are alive

49:37

today. And we know that the closest

49:38

living relative of a mammoth is an Asian

49:41

elephant. And in fact, mammoths and

49:43

Asian elephants are more closely related

49:45

to each other than Asian elephants are

49:47

to African elephants. So mammoths are

49:50

nested within the elephant family, most

49:53

closely related to Asian elephants.

49:55

>> Okay. Okay, so if you get this the

49:57

sequence of DNA from a mammoth, so you

49:59

know, okay, this is the complete genome.

50:00

And I think a lot of people probably

50:01

don't realize that your complete genome

50:03

is represented in most all of your

50:05

cells. There are rare exceptions. It's

50:07

just that not all those genes are

50:08

expressed, which is why you get a hair

50:09

cell versus skin cell versus heart cell

50:11

and so on.

50:11

>> That's the epigenome,

50:12

>> right? But the menu is there.

50:14

>> The menu is there.

50:15

>> Are you growing up DNA in a laboratory

50:17

that is that that is the mammoth

50:19

sequence?

50:19

>> So this is what comes, I think, from

50:21

Jurassic Park. And this is why I love

50:24

talking about Jurassic Park because I

50:26

think everybody has an idea of how we're

50:28

doing this because they saw Jurassic

50:29

Park or they've thought about this

50:30

movie. And what happened in Jurassic

50:32

Park, and I should just say it was not a

50:36

documentary, so let's not get carried

50:38

away here, right? Okay. [laughter]

50:39

What happened in Jurassic Park was

50:41

scientists found mosquitoes preserved in

50:44

amber. They stuck a needle into those

50:47

mosquitoes, preserved an animal. They

50:49

sucked out a bit of stuff that happened

50:52

to be blood and it had dinosaur DNA and

50:54

then they had the little dancing DNA

50:57

thing tells you about how they piece it

50:59

together and you can see the little

51:01

pieces of dinosaur DNA lining up next to

51:03

each other and then there's holes and

51:05

they fill in those holes with frog DNA

51:07

which was a weird choice even at the

51:10

time because we already knew that birds

51:11

are dinosaurs right so why they pick

51:13

frogs I don't know but anyway they

51:15

>> talk to Richard Harland at Berkeley or

51:17

something that's another biology joke.

51:19

Look it up.

51:20

>> But that's not actually how we're doing

51:22

this. What we're doing is somehow easier

51:25

than that. Because we know that Asian

51:27

elephants are the closest living

51:29

relative of mammoths. We also can by

51:32

sequencing a bunch of Asian elephant DNA

51:34

and sequencing a bunch of mammoth DNA.

51:36

We can see that they already have almost

51:39

exactly the same genome sequenced.

51:41

>> How similar?

51:42

>> They're about 99% similar. It depends on

51:44

how you calculate the percentage and

51:46

things like that. As a point of

51:47

reference, how similar are we to the

51:50

chimpanzees in terms of percentage

51:52

similarity of DNA

51:53

>> in that counting? It's about the same.

51:55

>> But some people might say, "We don't

51:57

look anything like chimpanzees."

51:59

>> Well,

51:59

>> 99 just sounds like so similar, like

52:01

you're going to get the same thing.

52:02

>> Yeah. Well, there I mean, people

52:04

calculate this in lots of different

52:05

ways. There's some statistic online that

52:06

we're 85% the same as a banana or

52:09

something like that. Like a lot of our

52:10

DNA is I don't know if that's true.

52:12

Right. Yeah. Is the goal to recreate the

52:14

ancient mammoth or is it to create a a

52:17

pseudo hybrid of the ancient mammoth?

52:19

>> The goal is to think about a mammoth in

52:22

terms of what it does and what it looks

52:24

like. And this gets back to this idea

52:26

that you brought up in the beginning

52:28

about a species concept. You know, this

52:29

is one of the most common things that we

52:31

hear. If you are going by a strictly

52:34

genetic species concept where you're

52:37

saying that a species an organism is

52:39

classified just by some threshold of

52:41

similarity sequence similarity to

52:42

something else. That's the only way you

52:44

can call it that thing. That isn't what

52:46

we're doing in deextinction. That's not

52:48

what anyone doing synthetic biology is

52:50

thinking about when they're designing or

52:52

engineering things to solve problems.

52:54

Engineering animals or engineering

52:55

plants to solve problems that we have in

52:57

the future. The genetic species concept

52:59

is a an idea that was proposed to

53:02

classify organisms that evolve over a

53:06

very long evolutionary bifurcating

53:09

filogenetic tree process where

53:11

accumulation of changes is over many

53:13

generations over a long time. Our

53:15

mammoths, our direwolves are not created

53:18

by that process. And so that concept

53:21

really doesn't apply. I think that's

53:22

where a lot of the the disinformation

53:24

comes. I'm going to just push back a

53:26

little bit on this because what I don't

53:27

want is for this sort of

53:30

>> definitional gatekeeping to really take

53:32

over and become the whole story. It it's

53:34

important. It's it's a question, but

53:36

it's a narrow one. And I think it crowds

53:38

out the the real discussion about what

53:41

it is that we're doing, how the

53:42

technologies that we're developing can

53:44

be applied to

53:46

>> ecosystem health to help stop species

53:48

from becoming extinct, even as synthetic

53:51

biology for for human medicine. So we're

53:54

not trying to make something that is

53:56

identical to a particular individual

53:58

that used to be alive. Our mammoths are

54:00

millions of letters of DNA code

54:02

different from each other. So even which

54:04

one to use would be an open question.

54:07

Instead, what we're doing is focusing on

54:10

where all of those mammoths are the same

54:12

as each other

54:13

>> but different from elephants. And

54:15

thinking that those places, like we were

54:17

talking about with humans, those are the

54:19

places that are important to make a

54:20

mammoth a mammoth. And that is where I'm

54:22

going to focus my energy in bringing

54:25

back a mammoth, which will be an

54:28

elephant that is capable of living in

54:30

the habitats that a mammoth lived in.

54:33

Mammoths will have to live in habitats

54:35

that exist today and tomorrow. So, the

54:37

mammoths will have to be genetically

54:38

capable of living with the pathogens and

54:41

the microbes and the food sources and

54:43

the microbiome that the elephants that

54:46

will birth them can survive in today.

54:49

When you mentioned um species

54:51

nomenclature gatekeeping, I have a

54:53

feeling this is based on the publicity

54:56

around the dire wolf.

54:57

>> Yes.

54:58

>> Okay. I just I like to just address

54:59

things very directly. I want to be very

55:01

clear. I'm not arguing for species

55:03

gatekeeping here. Uh that's not what I

55:05

do. I have I own a mut after all.

55:07

>> It's not even that. It's it's that um

55:10

somehow this idea of what we should call

55:13

it based on this very specific

55:15

definition of you can only call it this

55:17

if it's some threshold genetic

55:18

similarity is noise. It's not an

55:21

important part of the conversation. I

55:22

mean, it's a part of the conversation

55:24

and it's one that we have, but if people

55:25

don't want to call it a direwolf, just

55:26

don't, right? Like,

55:28

>> well, I think like like all things media

55:31

and Hollywood, you know, I think

55:32

Jurassic Park did an amazing service to

55:36

science and the excitement around these

55:37

concepts, but probably did a disservice

55:39

as well by embedding in people's minds

55:41

that the idea is to bring back the the

55:43

exact same animal.

55:44

>> But didn't we just say that these

55:47

dinosaurs were some dinosaur DNA and a

55:49

whole bunch of frog DNA? Nobody looks at

55:51

them and goes, "No, they're not a

55:52

dinosaur."

55:52

>> You're a scientist and I am, too.

55:54

Actually, it's funny that you you

55:55

mentioned this because my dad's a

55:57

theoretical physicist. He was involved

55:58

in chaos theory. He's been a guest on

56:00

the podcast. I remember when Jurassic

56:02

Park came out, he didn't dislike it, but

56:04

the part where he kind of rolled his

56:05

eyes was there's a description of chaos

56:07

theory in there and what it means. And

56:10

in Hollywood, they love to you use the

56:12

example of like a butterfly flaps its

56:13

wings in Patagonia and then this thing

56:15

happens in the to the barista in in

56:18

Brooklyn, you know, and people like to

56:20

bridge those concepts and they think,

56:21

"Oh, that's so cool." Like, so it's it's

56:23

it's sticky, as we say. But that's but

56:25

he he was rolling his eyes. He's like,

56:27

"Okay, that's not how these things

56:29

work." And so for people that are

56:30

experts in the area, it can be a little

56:32

bit grading at times. But the public, I

56:35

think, is open, right? in my experience

56:36

in doing what I do is that the public if

56:38

they just have the knowledge in hand and

56:40

the way you described it great. So,

56:42

>> so our direwolves, they have 20 edits

56:45

that we picked um and we we sequenced

56:48

genomes from fossil direwolves. We

56:50

learned from those genomes what genetic

56:53

changes made those animals bigger, more

56:55

robust, light colored in coat and then

56:58

we engineered those changes into a

57:00

greywolf genome to recreate the

57:02

direwolf. If it looks like a direwolf

57:04

and it's able to fill the niche of a

57:06

direwolf, I'm happy to call it a

57:08

direwolf.

57:08

>> So, the direwolf was a very interesting

57:10

choice. Clearly, you were successful in

57:12

creating this animal.

57:14

>> Sounds like you were very intentional in

57:16

picking which genes. It wasn't like, oh,

57:17

we're going to take a couple genes from

57:18

the direwolf and throw them into this

57:20

this other wolf and create what we call

57:22

as the direwolf.

57:23

>> If I were to look at the direwolf

57:27

and a you said a greywolf.

57:29

>> Yes. Side by side, is the direwolf

57:32

larger?

57:32

>> They are

57:33

>> on average at the same age. Are there

57:35

any other features that are are visibly

57:36

different or the other features more

57:38

adaptive in terms of gut and ability to

57:40

live in certain environments and this

57:42

kind of thing?

57:42

>> They're muscular. The fur is uh longer

57:46

and more full and it's also light

57:48

colored. I I think it's an important

57:50

thing to understand about how we're

57:51

selecting these because we are very

57:54

deliberate about what we're doing and

57:56

it's both because we want to with some

57:58

fidelity bring back these extinct traits

58:00

so that the animals can eventually be

58:02

released. Now, we're not planning on

58:03

rewing direwolves and we will study the

58:05

animals and learn about the effect of

58:07

their genes on their lifespan.

58:09

>> Yeah, sorry. [laughter]

58:11

But the other other animals, the

58:13

ultimate goal is to to eventually have

58:15

populations of freeling

58:19

as as they would like to. And so we we

58:21

want to understand how healthy they are,

58:23

how they're going to interact with the

58:24

habitat that's there. And we want to

58:26

make sure that because we with synthetic

58:28

biology have the power to engineer them

58:30

in a very deliberate way that we can do

58:32

that in a way that's safe. So the hair

58:34

color is a a really interesting example

58:36

of this and the strategy that we use. So

58:39

when we sequenced the genomes of the

58:41

fossil direwolves, we found that they

58:43

both had variance, the same variance in

58:46

two genes that would have made them have

58:48

light colored coats, but in living

58:52

greywolves and dogs, variance in those

58:55

genes, not the same ones that we saw in

58:57

direwolves, but close enough to where we

58:59

would need to do the edits that you have

59:00

some concern that you would have

59:02

bystander edits that might cause a

59:04

problem, can lead to oculaneous

59:06

albinism. Um, so blindness or deafness

59:09

in these dogs.

59:10

>> And we decided that because we're not

59:13

changing the whole genome, they have to

59:15

be safe on a greywolf genetic

59:17

background, we wouldn't make the trait

59:19

that way. It just wasn't passing the bar

59:22

of animal welfare safety. And so

59:24

instead, we brought back the direwolf

59:26

light colored coat using different edits

59:29

that we know are safe in a greywolf

59:31

background because there are light

59:32

colored domestic dogs and greywolves.

59:34

So, we used the edits that we know are

59:36

safe because they exist in living dogs.

59:38

>> Oh, that's cool.

59:39

>> So, we were able to engineer using all

59:41

the tools of synthetic biology, this

59:43

light colored coat that is the direwolf

59:45

light colored coat, but using a path

59:47

that we know is safe. And this is the

59:49

way that we think about all of our

59:50

projects. We have to take an Asian

59:53

elephant and turn it into a woolly

59:55

animal. That trait requires changing not

59:58

just the structure of the hair, but of

60:00

the skin itself. We have to make room

60:02

for more follicles, sebaceous glands,

60:05

different approaches to be able to

60:06

support that woolly coat, right? And we

60:09

need to be able to do that in a way that

60:11

results in a healthy animal because

60:13

these are very longived animals. Takes

60:15

22 months for gestation. They reach

60:17

sexual maturity at 14 and it's a lot of

60:19

work.

60:20

>> So, how many dire wolf wolves are

60:23

walking around right now in some

60:24

location? Right now there is Romulus and

60:27

Reheis and they are almost two years

60:30

old. And

60:30

>> male and female or male?

60:31

>> Romulus and Remis are boys and Klesia is

60:33

a girl. She is about 18 months old or

60:36

so.

60:37

>> Is the intention to mate them?

60:38

>> No, they're too closely related. We're

60:40

stopping them using hormones. So rather

60:42

than

60:43

>> But they live together.

60:44

>> They live together. She was reared by

60:46

herself. The boys had each other and she

60:48

had just her. So she's a little bit on

60:49

the like I mean you would never look at

60:52

these animals and say this is the way a

60:54

wild wolf behaved. They were hand

60:55

reared, right? Um, but she's a little

60:57

bit on the specially goofy side, but

60:59

she's the she's the best. She's

61:01

adorable.

61:01

>> Do you feel safe interacting with them?

61:03

>> Oh, no. We have interacted with them,

61:05

but the people who work with them a lot

61:06

that they know, feel safe interacting

61:08

with them, but as they got older, it was

61:09

very clear that they're wild animals.

61:11

These are not domestic dogs. Remis is a

61:13

little bit less skittish than Romulus.

61:15

He will eventually, if you sit in the

61:17

middle of where they are, he will

61:18

eventually kind of sniff around and and

61:21

maybe come near you. Romulus wants

61:23

nothing to do with you, which is funny

61:24

because they're they're identical twins,

61:26

but they're slightly different

61:27

interacting with people, but it's very

61:28

clear that they these are wild. They're

61:30

also huge, right? So,

61:31

>> yeah. How big are they?

61:32

>> I don't have the latest measurements on

61:34

how big they are. And of course, it's

61:35

seasonal for all these different things,

61:36

but I know that they were at some point

61:38

they were at least like 120 lbs, which

61:40

is big for a grey wolf.

61:41

>> Yeah. So, everything you just said about

61:44

these direwolves, would you also say

61:46

about grey wolves? Like, you wouldn't

61:47

want to be alone with one. Some can be

61:49

skittish, some can be calm. like you

61:51

>> you know I have good friends who are

61:54

somebody you should think about having

61:55

on actually that if you're interested in

61:56

dog behavior and what we've learned

61:58

about domestic dogs and I know you have

61:59

a dog and it's very exciting. Ellen

62:00

Carlson is at the Broad Institute and at

62:03

UMass and she's done a lot of work with

62:05

wolf dog hybrids and then also with

62:08

domestic dogs and trying to map genes to

62:10

behavior and all these things and

62:11

basically showed that breed stereotypes

62:13

are just not real. The that you really

62:16

can't map genes to behavior except for

62:17

Chihuahua. They're just terrible. I'm

62:19

just kidding. No, it's okay. We had

62:20

Caesar Milan on the podcast. [laughter]

62:22

He'll be the first to say that in in

62:24

almost every decade in the United

62:26

States, there was the demonized dog

62:28

breed. It was actually German Shepherds

62:30

post World War II.

62:32

>> Then it was [clears throat] Doberman's.

62:33

>> Same reason. Then it was the bulldog,

62:35

the English bulldog, which having had

62:37

English bulldog is hilarious to me.

62:38

>> I went to Georgia, so that's never going

62:40

to be my least favorite.

62:41

>> Right. Exactly. And then now it's

62:42

pitbulls. Right. And statistically,

62:44

actually, I think most bites come from

62:45

chow.

62:46

>> At least my uncle who's a vet tells me

62:48

that. But um chow owners I met some nice

62:50

chows. The blue tongue is pretty cool.

62:52

>> And that's a particular variant you can

62:54

imagine. Yeah, there's a there's color

62:56

is one of the things that's best

62:58

understood I think especially in

62:59

domestic dogs. There's so many genomes

63:00

and all these things have been mapped.

63:03

Um and that's part of what we have to do

63:05

in all these cases is is how do we

63:07

figure out what it is that causes the

63:09

thyloine to have the stripes that it has

63:10

or causes the particular types of hair

63:14

development that happen on a woolly

63:16

mammoth. These are all huge open

63:17

problems in in evolutionary biology that

63:20

I get to work on every day in my job.

63:23

>> Clearly you have clearly you have the

63:24

the the [laughter] right job. So you

63:26

have these three direwolves. They're not

63:29

mating. Is the plan to make more of them

63:32

to mate them? What's what's the ultimate

63:34

goal and intermediate goal?

63:36

>> We will have another pack so that

63:39

hopefully they will all be born more of

63:40

them at the same time so that that's the

63:43

plan eventually. It's not our priority

63:44

right now. We're working on other

63:46

species. But what we'd like to do is

63:47

have another pack in the space where we

63:49

are so we can really better understand

63:50

the impact of the animals on the

63:52

ecosystem. This is really the next

63:55

rational logical step in any

63:56

deextinction project. I often hear

63:58

rumors that what are you doing? You're

64:00

just going to take get an elephant and

64:02

uh make a mammoth and just release it

64:04

into Alaska? And you're like no. Um

64:07

first of all, no. cuz it's going to be

64:09

so hard to make that first mammoth that

64:11

I'm going to want to make sure that it

64:12

is safe and cared for and has access to

64:15

all the

64:16

>> Jurassic Park thing again. [laughter]

64:18

It's that they break out, right?

64:19

>> But also, you know, you can't do that.

64:21

We exist in the reg regulatory

64:24

environment of anywhere that these

64:25

animals are. It's it's not that we're

64:27

some crazy scientists on an island like

64:29

in Jurassic Park. You know, we we work

64:31

here. We have Ayakok protocols and um if

64:34

you're doing anything that is releasing

64:36

animal outside you're under the

64:38

regulatory purview of a whole bunch of

64:39

different agencies. I don't know if you

64:40

saw but the very first geneedited

64:43

organism created specifically for the

64:46

purposes of conservation ecosystem

64:48

restoration was deregulated by the USDA

64:52

this week. It's the American chestnut

64:54

tree. And the challenge with any of

64:57

these genetically modified organisms

64:58

that we have which we're creating

65:00

synthetic [clears throat] biology uses a

65:02

tool to make these things better. The

65:03

chestnut tree is one of these stories

65:06

like the passenger pigeon where the

65:08

American chestnut was the most prolific

65:11

tree across the eastern forests of North

65:13

America all the way through North

65:15

America until the early part of the 20th

65:17

century when a disease was introduced

65:20

believed to be on an import of a Chinese

65:23

chestnut tree that caused a fungus to

65:26

get into these trees and they all died.

65:28

But it took a decade and a billion trees

65:32

died.

65:33

>> This scares me for a variety of reasons.

65:35

A few years ago, this would be 2016, 17,

65:39

I got this strange envelope in the mail

65:41

to my residence. Do you know about this?

65:43

No, but I'm

65:43

>> So there was a So I was living in the

65:45

East Bay, California, and I get this

65:47

envelope and it contains a little kind

65:50

of like looks like a small quarter size

65:53

plastic like container just thin an

65:55

envelope and I had a little note and it

65:57

said free seeds for gardening. Oh

65:59

>> and I was like this is really odd and I

66:01

started you know fishing around on the

66:03

internet. Turns out the idea was that

66:06

massive amounts of seeds were being

66:07

shipped from China and sent here. Now,

66:09

this isn't a conspiracy, right? Like, if

66:11

you look at this, there are these this

66:13

is sort of attempt to just kind of like

66:15

put new populations of plants and maybe

66:17

it was all benevolent. And my friends,

66:19

actually, one of whom is down at Santa

66:21

Cruz. Yeah, I know some plant

66:22

biologists. They were like, "Whatever

66:23

you do, do not put that into the ground

66:25

outside because these things travel,

66:27

birds eat them, birds poop, and then

66:30

stuff gets grows. And this is how you

66:32

can decimate important populations of

66:34

trees and plants." It was the first time

66:35

I really thought about vegetation on

66:38

vegetation warfare. Is that what is

66:40

actually what was happening? Is it was

66:42

this the Chinese trying to do this? We

66:43

don't know. But what is very important

66:45

is that anytime you plant something, you

66:47

actually want to talk to the people who

66:49

understand how different ecosystems of

66:50

plants coexist in the same way that you

66:53

wouldn't put your wolves out into the,

66:55

you know, into the dog park.

66:56

>> I wouldn't put the wolves out because if

66:58

if we release direwolves, they would

67:00

compete with greywolves. And greywolves

67:01

are already having enough trouble trying

67:03

to find a way to survive. And so there's

67:05

no need there's no ecological need to

67:07

release greywolves into the habitat and

67:08

so we can use them to study these. But

67:10

if you think about what you just said,

67:12

right, I I think

67:14

>> people we as a lineage have been messing

67:19

with the evolution and of the stuff

67:21

around us for as long as we've existed,

67:24

right? Initially just by driving things

67:26

extinct. Not deliberately, right? like

67:28

just like maybe this wasn't a deliberate

67:30

attempt to

67:31

>> have some plants that would out compete

67:33

other things,

67:34

>> but we did and we changed ecosystems by

67:37

going into them and and getting rid of

67:38

all the largest animals that were there

67:40

because we were hunting them. I'm

67:42

thinking about, you know, our ancestors

67:44

in, you know, 50,000 years ago in

67:46

Australia, 30,000 years ago in Asia, and

67:48

then we domesticated things and and now

67:51

we we conserve things. And when people

67:53

think about conservation, a lot of

67:55

people have this idea that it's this

67:57

beautiful thing where you're just

67:58

leaving everything alone. But that's not

68:01

what we're doing. We are deciding how

68:03

many of them get to live, what they get

68:05

to eat. We vaccinate them. We protect

68:06

them from predators. We I'm not saying

68:08

that is bad, but I think it's naive to

68:11

say that it's not us determining what

68:12

the future of these animals are. And

68:14

we've also been moving stuff around

68:17

forever. Like we have English birds all

68:20

over the place here and in New Zealand

68:21

that were brought by people because they

68:23

liked them, right? They liked them where

68:25

they were. And I think it's a mistake to

68:28

imagine that the only good ecosystem is

68:30

the one that you know right now because

68:33

you're you're claiming a particular

68:35

slice of history as the thing that is

68:38

better than everything else. And I think

68:40

it's more important to think in terms of

68:42

robustness. And you said, well, go back

68:45

to the beginning. You you said something

68:47

about how when we have multiple things

68:50

happening, multiple species in in an

68:52

ecosystem that are all doing different

68:54

things, you end up with more

68:55

biodiversity and richer environments.

68:57

When there's an overlap in ecological

68:59

nest, there's some redundancy there. And

69:01

that redundancy is really good for that

69:04

ecosystem because it means that bad

69:05

stuff can happen and it can weather that

69:08

bad stuff.

69:09

So maybe we shouldn't always think in

69:12

terms of bringing in something new is

69:14

bad.

69:14

>> I should have planted the seeds. No, I'm

69:16

totally on board what you're saying when

69:18

I um

69:18

>> I don't mean to plant the seeds. I just

69:20

>> No, no, no, no. I'm totally totally on

69:21

board with what you're saying. It it

69:22

touches on an important theme that we've

69:24

certainly never discussed on this

69:25

podcast, but is very relevant to today's

69:27

discussion and that people should think

69:29

about, which is, you know, who gets to

69:31

decide. It's interesting because there's

69:33

both a kind of like massive ego inserted

69:36

into the notion that like we know best

69:37

about everything in including the other

69:40

all the other species of plants and

69:41

animals. That's obviously not true. But

69:44

also that we don't have anything to

69:46

contribute in terms of our own evolution

69:48

that is I mean look here you're a human

69:50

being bringing back species of past and

69:54

some people might think scary other

69:56

people might think fantastic. I think

69:58

why it's hard for people to wrap their

70:00

head around these things and they

70:01

default to thinking about oh it was

70:02

better in the past is because a most pe

70:05

people never experienced that they have

70:07

no concept. I think there's a great book

70:08

that I had to read years ago called uh

70:10

the good old days they were terrible

70:12

about we hear the good old days and you

70:13

hear about all like the dysentery the

70:14

lack of antibiotics like but we tend to

70:16

look back and say oh that was it must

70:18

have been so nice back then everything

70:20

buolic and beautiful and you forget all

70:22

the the the dark side of that

70:23

>> but the other one is that we don't have

70:25

a window into the future

70:26

>> right

70:27

>> and so you know I went to school in

70:28

Santa Barbara and one of the first

70:30

things you learn there is that there are

70:31

all these species of fox that are out on

70:33

the the Anakappa island and and Santa

70:35

Rosa Island and all these islands that

70:37

the Schumash brought out there on boats,

70:40

but no one says they don't belong there.

70:41

They say there's this incredible

70:42

biodiversity out there, which is why

70:44

it's protected, why we don't have, you

70:46

know, a lot of tourists walking around

70:47

out there. We want to protect that. But

70:49

humans brought those out. But the fact

70:51

that it was Native Americans and it was

70:52

and it was some time ago leads to our

70:55

percept like it was good, right? And so

70:57

the idea that we would remove them, no,

70:59

we need to protect them. And that makes

71:01

total sense to me, but it's a default

71:02

psychology that I think is driving a lot

71:04

of the quote unquote ethical

71:06

conversations around this because we

71:08

don't have a window into the future. So

71:09

let's say these dire wolves, you make

71:11

more of them. I can get totally on board

71:13

the idea that then they're wildlands

71:15

that they are roaming that then they're

71:18

serving other populations of animals and

71:20

plants. There's new interactions that

71:21

are that are benevolent interactions

71:24

that are pro-evolution as opposed to

71:25

devolution. I think the challenge for

71:27

people is we don't know what that looks

71:30

like and it feels like there there too

71:32

many variables to understand. So I'm

71:34

just wondering how you wrap your head

71:36

around that when you're talking to

71:37

people about what you do and and when

71:39

you're thinking about what you do.

71:41

>> I'm thinking in terms of helping

71:43

ecosystems to become more resilient. We

71:47

know, for example, because of what

71:50

happened in Yellowstone, the impact that

71:52

restoring the top predator of an

71:54

ecosystem that had been removed can

71:55

have. The grey wolves that were

71:57

reintroduced into Yellowstone, the

71:59

population of animals that they ate had

72:02

become too large and they had eaten away

72:04

at all of the shrubbery. And so putting

72:07

the greywolves back in Yellowstone

72:09

cascaded all the way down that ecosystem

72:12

ladder to changing the way the rivers

72:14

were flowing because the plants were

72:15

growing back now along the edges of the

72:17

rivers. The thyloine, which is the

72:19

Tasmanian tiger, this is the second

72:22

species that Colossal declared as one of

72:24

our de-extinction targets. Um the

72:26

thyloine was the top predator in

72:28

Tasmania. And Tasmania today has

72:33

problems because that top predator is

72:36

missing. Have you heard about or seen

72:38

the awful pictures of the Tasmanian

72:40

devil facial tumor disease?

72:42

>> Yeah, this came up um on a few podcasts

72:44

ago because we had Jared Rudder who's a

72:46

another Hughes biologist where some

72:49

mitochondria and we're talking about

72:50

they're no transmissible cancers, but

72:52

these Tasmanian devils um have wound

72:54

induced cancer-like problems. So they

72:57

fight, they scratch each other up, they

72:59

get cancers, and that that population is

73:01

suffering as a consequence.

73:03

>> And they're so closely related to each

73:05

other that they can pass them between

73:06

each other.

73:07

>> Oh, so it's the genetic similarity that

73:09

allows that to happen.

73:10

>> The point is that I Yes, this is

73:12

terrible. But if [clears throat] we had

73:14

had the top predators, those sick

73:16

individuals would have been weeded out

73:18

of that population and we might not have

73:20

this problem. So you can see restoring

73:22

that ecosystem.

73:24

And also I'll get back to, you know, I

73:27

often get the question of why are you

73:29

thinking about bringing extinct species

73:30

back to life? Why aren't you thinking

73:33

about helping living species not become

73:35

extinct? And the answer is we are doing

73:38

both. It is the same tools. It's the

73:41

same technology. It's the same needs.

73:44

And when we excite people with the idea

73:48

of mammoths and dodos and thyloines, we

73:51

get more engagement and enthusiasm and

73:53

investment in developing the technology

73:55

that we can use to stop living species

73:57

from becoming extinct. There's a really

74:00

great story. Our colossal Australia

74:01

partners have been working on a project

74:04

to try to stop the northern qual from

74:07

becoming extinct. Have you ever heard of

74:08

familiar with the qual? Most people

74:09

won't.

74:10

>> It's qu L l. So it's a little guy.

74:12

They're adorable little cute

74:15

>> carnivorous marsupials and they eat

74:18

>> amphibians. And in Australia, there is

74:21

an introduced amphibian called a cane

74:24

toad that is toxic. It's toxic to dogs.

74:27

When dogs eat them, they die. It's toxic

74:29

to everything. When a qual eats a cane

74:31

toad, it dies. And that's terrible. And

74:35

there is a very strong chance in the

74:37

next few decades the northern qual is

74:39

going to become extinct. However, there

74:42

is a synthetic biology solution to this

74:44

and it's one that has actually already

74:46

been made, right? There are mammals that

74:49

eat toxic toads that live on the other

74:52

side of the planet even that eat cane

74:53

toads, right? And they have a single

74:56

letter change that changes one amino

74:58

acid in one gene that allows them to eat

75:01

that toxic cane toad and not die. Our

75:03

Australia, Colossal Australia partners

75:05

have made those changes in a coal. And

75:08

when you measure in a dish, the ability

75:10

of that toxin to break down the cane

75:12

toad, that single letter change to that

75:14

qual's genome could allow that qual to

75:17

avoid becoming extinct, but to eat cane

75:20

toads, which currently nothing really

75:22

can in Australia. So now we can see the

75:26

real benefit of this massive comparative

75:29

biology framework. I know which gene it

75:31

is that I need to change. The stack that

75:33

allows us to develop the tools to be

75:34

able to make that change and just that

75:36

change and then show that that's the

75:38

only change that's there. You've made

75:39

what [clears throat] you wanted to do

75:40

and then put that in a living animal can

75:43

stop a species from becoming extinct.

75:45

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75:47

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77:23

As someone who does a lot of public

77:25

science health education interaction, I

77:27

there there are a couple things that get

77:29

the public really worried and that they

77:31

need reassurance on. Honestly, I think

77:33

it dates back to the pandemic.

77:35

>> There's a lot of distrust about

77:37

scientists. There is this belief that

77:39

some scientists are only concerned with

77:41

themselves. M it's an important myth in

77:43

my opinion to dispel the idea that most

77:45

scientists are not what I believe them

77:47

to be which is they're trying very hard

77:50

to get answers right to do good for the

77:52

world including other species and it

77:55

they're not so careerist that they're

77:57

willing to overlook that independent of

77:59

the IRB boards and the thing that the

78:02

the constraints that force them to to do

78:04

that but that is the era we're living in

78:06

right so I think that some people think

78:08

more now in terms of you know scientists

78:10

are like doing stuff because they And

78:12

this has parallel conversations about AI

78:14

where people are think like hey like

78:15

have we really thought this one through

78:16

and people are are scared but I totally

78:19

agree with with what you're saying and I

78:21

want to talk about two species to try

78:23

and highlight this and how it can be

78:25

done right because I I think it's clear

78:27

that you're trying to do this right

78:29

[snorts] which means for the the best

78:31

possible outcomes for humans and other

78:33

species and the first are mosquitoes

78:35

>> and the second are humans. Most people

78:37

don't care about mosquitoes, but some

78:40

years ago, I started paying attention to

78:42

mosquitoes because your very own Howard

78:45

Hughes director now, I think Leslie

78:46

Bosall, works on the old factory system

78:49

of mosquitoes and other insects. And

78:51

turns out bugs find mates and find

78:54

things to suck blood from and etc. by

78:58

odors and pherommones, but odors. And so

79:00

there this idea, oh, mosquitoes have

79:02

malaria. This wasn't Leslie's idea, but

79:04

it was like, um, mosquitoes have

79:05

malaria. let's just get rid of all the

79:07

the mosquitoes,

79:08

>> right?

79:08

>> And the biologists were like, "No, you

79:10

can't do that cuz then the birds are

79:11

going to suffer cuz they eat the

79:13

mosquitoes." And on and on and on. I

79:14

mean, this stuff can really domino. And

79:16

it sounds like a great idea. It's a

79:18

terrible idea.

79:19

>> Or let's just make mosquitoes that can't

79:21

reproduce. That's a great way to do it,

79:23

right?

79:24

Or let's just do an half of them, right?

79:26

There were these ideas just kind of

79:27

thrown out there that with genetics, you

79:29

can do that. You just release a few of

79:31

these little suckers into the wild and

79:32

there is the potential that they mate

79:34

and proliferate and just enough to

79:37

eradicate a population or half a

79:38

population. It's harder to do than that.

79:40

So people didn't know this was like

79:42

being explored, but smart people put the

79:44

brakes on it. So let's talk about

79:46

mosquitoes. Like it they clearly carry

79:49

pathogens that harm people, but they're

79:51

also important for ecosystems, vitally

79:54

important for certain ecosystems. So,

79:56

how do you think about plucking out a

79:59

node in an ecosystem like a species or

80:01

introducing a a species back into an

80:04

ecosystem and thinking about the

80:06

ramifications? It's hard to model

80:07

behavior in one species, let alone

80:09

interactions between species. How do you

80:11

wrap your head around that with the

80:13

maybe the mosquito would be a I hope a

80:15

simple example of this.

80:17

>> Mosquitoes are a hard one and I think

80:19

that they do cause a lot of death and

80:22

disease, but not all mosquitoes. So the

80:25

you know only certain species of

80:26

mosquitoes carry malaria and deni and

80:29

other diseases that are known to affect

80:31

people. And also those mosquitoes have

80:33

much higher population density because

80:37

of the way that people have built our

80:39

towns than they would have had in

80:42

natural ecosystems. So for something

80:44

like a mosquito that is extremely

80:46

overpopulated and carrying a devastating

80:48

disease, I would think that there

80:50

actually is reason to think that it is

80:52

safe in an ecosystem to at least bring

80:55

that population back down to a size that

80:57

it would have been in a natural

80:58

ecosystem. A lot of problem with

81:00

mosquitoes is because people leave just

81:02

tubs of water or water that isn't

81:04

circulating out and they lay a billion

81:06

eggs and then you have many more

81:07

mosquitoes. That's not true in the

81:09

Arctic. In the Arctic there's a

81:09

bazillion mosquitoes and no people and

81:11

it's really miserable. That's uh I've

81:12

spent a lot of time in my life.

81:13

>> Yeah, I heard you describing that

81:14

elsewhere and it sounds horrible.

81:16

Someone I do not like mosquitoes. I

81:18

don't like mosquito bites. And I get it

81:20

like at first blush and like get rid of

81:22

all the mosquitoes, but it's a lot more

81:24

complicated than that.

81:24

>> Maybe engineer mosquitoes that they

81:26

can't carry the disease rather than

81:28

engineer the mosquitoes to be dead. I

81:30

mean, there are ways that I think we can

81:31

use synthetic biology and gene drives as

81:33

the thing you were getting at where you

81:35

release something that is created by a

81:37

synthetic drive into the wild and then

81:39

it passes on to the next generation. I

81:41

actually think that gene drives are an

81:43

incredibly powerful way that we have at

81:46

our fingertips where with the

81:47

appropriate safety measures and care in

81:49

place, we should think about how we

81:51

might deploy these tools. You can make a

81:53

gene drive so it only lasts for a fixed

81:56

number of generations. And also because

81:58

they tend not to make things reproduce,

82:00

there is incredibly strong natural

82:02

selection against them. Anything that

82:04

breaks a gene drive and lets something

82:06

reproduce is going to be favored in a

82:07

population, right? Um, so gene drives

82:10

are going to be difficult to get to

82:12

persist and there are many switches that

82:13

we could build into them to make them

82:15

last for a short period of time. But

82:17

there are some species that have taken

82:20

over and you talk about your plants that

82:22

you got in in this part of the world.

82:24

There's cheat grass everywhere and it's

82:25

highly flammable and it grows along the

82:27

roads and it's Mediterranean in origin.

82:29

And the only way we are ever going to

82:32

get the cheat grass down enough to be

82:34

able to let the native California

82:36

grasses come back is if we get rid of

82:38

the cheat grasses for a few generations.

82:40

And

82:40

>> do you think this is one of the reasons

82:41

there's so many fires?

82:43

>> They're very flammable and they also

82:44

don't have very um deep roots. So in

82:47

California, it's very dry, right?

82:49

California native grasses have much

82:50

deeper roots and so they stay green

82:52

longer. So they're sequestering carbon

82:54

and they're not as flammable for longer

82:55

into the season. these these shallow

82:57

rooted Mediterranean grasses dry out

82:59

super quickly. So as soon as it's fire

83:01

season like it is now, they're ready to

83:03

go, right? And it's not just here. It's

83:04

all across the western part of North

83:06

America. And this is a problem. And it's

83:08

a problem because it causes huge amounts

83:11

of damage to forest ecosystems, huge

83:13

amounts of property damage when fires

83:14

take off and they're out competing these

83:16

grasses. This is a situation where I

83:17

would say, let's think about how we

83:19

might safely deploy something like a

83:22

gene drive that can remove something or

83:24

at least tamp something down enough to

83:26

allow that ecosystem to become again

83:28

once again more robust and resilient. As

83:31

far as you know, what do we think about

83:33

adding things back into an ecosystem?

83:36

This is one of the reasons that every

83:38

de-extinction project or every species

83:41

transllocation project is staged and

83:44

thoughtful. When people moved Texas

83:46

panthers into Florida in the mid 1990s

83:49

to try to stop Florida panthers from

83:51

becoming extinct, they had developed

83:54

crooked tails and cowicks and crypt

83:56

orchidism. Their testicles didn't

83:58

descend and they were going to become

84:00

extinct. This was an inbreeding

84:02

depression. There were only a few

84:03

individuals, so they only bred with

84:05

individuals they were related to. There

84:07

was no choice. You bring in the Texas

84:09

panthers and the panthers recovered. All

84:11

of these diseases disappeared for a

84:13

short period. Now they're inbreeding

84:15

again because the population is cut off

84:17

from Texas and so they'll have to keep

84:19

doing it. We have to be the stewards of

84:21

these ecosystems that we're creating.

84:23

But that's in our power. We can do a ton

84:26

of analyses about potential risks and

84:29

rewards of what might happen when we

84:32

modify an ecosystem. And we do it all

84:35

the time. Sometimes to good ends and

84:37

sometimes to bad ends. What we can't do,

84:40

and I think this is sometimes where

84:43

the conversation gets lost, is if you

84:47

look around, we see habitats around the

84:50

planet that are suffering because of

84:55

changes that people have made. Within

84:58

those habitats, there are species that

85:00

are teetering at the edge of extinction.

85:04

And the only strategy that they have to

85:06

survive is natural selection, evolution

85:08

and natural selection. The rate of

85:10

change of these ecosystems is too fast

85:13

for that to work. If we say these

85:17

technologies that we have whether it's

85:18

transllocations or assisted reproduction

85:21

or genetic modification and synthetic

85:23

biology and deextinction

85:25

if we say that those technologies are

85:28

too risky

85:30

we are accepting the outcome of doing

85:33

nothing which is also a decision and I

85:36

think that's where a lot of times the

85:38

conversation gets lost doing nothing is

85:41

not not deciding doing nothing is saying

85:44

we accept the fact that we are going to

85:46

have a future that is less biodiverse

85:48

than the present.

85:50

>> It's amazing how people are perfectly

85:52

happy to allow the negative default

85:55

outcome to emerge even though it's the

85:58

consequence of humans but they are wary

86:00

of humans intervening to a potentially

86:04

better outcome. I think it gets back to

86:06

this issue of trust in scientists and it

86:08

also raises the question of who decides.

86:11

I'm very opinionated about this when it

86:13

comes to public health policy. I think

86:15

what the pandemic taught us regardless

86:16

of where people sat on vaccines and

86:18

lockdowns if nothing else it taught us

86:21

something absolutely essential which is

86:23

you can't have one person be the

86:24

spokesperson right

86:25

>> people need to hear from a group

86:28

including the denters in that group

86:30

>> and why they arrived at a particular

86:32

decision

86:33

>> I should be clear for all of the species

86:35

that we're working on we have advisory

86:38

panels that are built from local people

86:39

we have the Tasmanian advisory panel

86:41

that has politicians and people who grow

86:45

forests to log them and people who work

86:47

with the animals and people who are

86:49

scientists and conservation biologists

86:51

and we have regular meetings with all of

86:53

our different advisory groups to talk

86:54

about what the future might look like

86:56

well before we have a philyloine to be

86:59

able to to release anywhere. Our MOA

87:02

project is led by the Nitahu Research

87:04

Center in South Island of New Zealand.

87:06

And these Maui people are the people who

87:08

will be the long-term stewards of the

87:10

MOA. And the decision about how many to

87:12

make, which MOA to make, where to

87:14

release them, how to release them, it's

87:16

it's their decision um in consultation

87:19

with other people who will be impacted

87:20

by this. And I think that's really

87:22

important. The other thing that I think

87:23

we do well is this, right? I mean, I am

87:27

not a scientist hiding up in an ivory

87:30

tower somewhere. I'm here talking to you

87:32

and talking to as many people as I can

87:35

to tell people all about what we're we

87:37

even get yelled at for this. Why is

87:38

Colossal always talking about what

87:40

Colossal is doing? Well, would you

87:41

rather we not tell you? I mean,

87:43

>> I think the education piece is the

87:44

critical piece. I think it's great that

87:46

Colossal is doing this.

87:48

>> I mean, it is true. I I think we are all

87:50

desperate for when the direwolf story

87:54

broke and there was a small subset of

87:57

scientists who were just yelling at me

87:58

that I wasn't allowed to call it a

87:59

direwolf. And there are a bunch of

88:00

people who were like, "Wow, I can't

88:02

believe you learned from a bone and

88:04

actually use the tools of synthetic

88:06

biology to engineer extinct traits into

88:08

a living animal and now you have living

88:10

direwolves." Right? And there were

88:12

people who were scared of it and people

88:13

who loved it. And there were a bunch of

88:16

people who said the word extinction and

88:18

synthetic biology for the very first

88:20

time in their lives. And I got emails

88:22

from my colleagues at universities who

88:24

said the undergraduates were coming into

88:26

their ecology classes and their

88:29

sociology classes, their anthropology

88:30

classes. Some of them were mad and some

88:32

of them were excited, but they were

88:34

talking about it. And they were talking

88:36

about it as if they had some agency in

88:39

the world that they were inheriting. And

88:41

we hear that from middle schoolers and

88:43

high schoolers. And I think that is

88:44

really something tremendous about what

88:46

we're doing. People need to feel excited

88:50

and positive and they need to feel awe.

88:52

And when I saw the direwolves for the

88:55

first time, that's what I felt is

88:57

genuine awe, right? And there's

88:59

something about that that just makes the

89:02

world a better place. It makes people

89:04

happier and healthier. And I love that I

89:06

get to talk about it and do this hard

89:08

science, like really hard science, with

89:10

a bunch of smart people every day. As

89:13

long as we're waiting into deep water

89:14

here, let's talk about the really deep

89:16

water, uh, which is humans.

89:18

>> Okay,

89:19

>> so we have this thing called IVF

89:24

>> where people can make embryos and select

89:26

what are deemed at this point healthy

89:28

versus unhealthy. So people are doing

89:30

genetic selection in humans through

89:31

technology, right? People don't really

89:34

stop too often and think, oh yeah, you

89:36

know, how is that disrupting the human

89:38

ecosystem in any different number of

89:40

ways? But a few years back there was a a

89:43

guy in China actually who had been a

89:46

postoc at Stanford who decided to use

89:48

gene editing to modify the genome of

89:50

some babies disrupted the HIV receptor

89:53

and there are two stories about this. I

89:55

don't know which one is true. One story

89:57

is that they did it for benevolent

89:59

reasons to prevent these babies from

90:02

getting HIV from an either an infected

90:05

parent or to just protect them against

90:06

>> father was HIV positive. The other story

90:09

that was running in parallel was that

90:10

there was that this uh modification

90:13

uh might have some impact on hippocample

90:16

or other brain circuit function that

90:18

might make them hyper intelligent in one

90:20

dimension. So this was kind of more of

90:21

like a eugenics experiment. That was the

90:23

idea. And it was very interesting how

90:25

this emerged. Not in the general public,

90:28

like that was interesting in its own

90:29

right, but there was this short moment

90:31

of about a week where it wasn't clear if

90:33

this guy was going to win a Nobel Prize

90:36

and be celebrated or was going to be put

90:38

in prison.

90:39

>> Yeah, I remember this. It was Antonio

90:41

Regalado broke the story about a week

90:42

before the big crisper conference.

90:44

>> Yeah. There were these emails that

90:45

suddenly came out and and it was very

90:47

clear like people were kind of tap

90:48

dancing around this guy like what's

90:49

going to happen to him? do I want to be

90:51

associated with this and glean some of

90:53

the benefit or is he going to be

90:55

demonized in which case I want nothing

90:57

to do with this guy he's like he's he's

90:58

blacklisted and turns out it was the

91:00

latter right and the Chinese government

91:02

said yeah we're going to shut down his

91:04

lab he's going to be punished

91:07

>> I don't know what's happening if he's

91:08

running experiments or if he's in prison

91:09

or what's happening but but this was so

91:11

interesting right because since then

91:14

there's been no fewer than four major

91:16

companies launched for deep sequencing

91:19

of embryos

91:20

both from IVF but also nonIVVF babies

91:24

and I have people coming up to me

91:27

saying, "Hey, guess what?

91:28

[clears throat] We just got to screen

91:30

these embryos and we were told which of

91:33

them is going to have the highest IQ and

91:35

which of them is going to be tallest and

91:36

which of them is going to be this and

91:38

which one and that." And so some of

91:40

these companies are geared towards

91:41

ruling out disease,

91:42

>> right?

91:43

>> Others are geared towards trying to

91:44

optimize for best possible outcome.

91:48

Right

91:48

>> now, this gets people riled up because

91:50

it's very expensive at this point. So

91:52

that has other implications,

91:53

>> right?

91:54

>> And it's easy to say, oh well that's

91:56

like eugenics. But when people select

91:59

who assuming they do it voluntarily who

92:01

to have children with, they're selecting

92:03

on the basis of a number of features.

92:06

some physical, some emotional, some

92:09

resource related, some cognitive, you

92:12

know, and so

92:13

>> there's a lot of this happening happens

92:15

in the animal kingdom and in humans it's

92:18

happening now at the level of genetic

92:20

sequencing. And I think we're headed for

92:23

big discussions about ethics about

92:25

changing quote unquote ecosystems,

92:27

>> right,

92:27

>> through genetic selection of humans.

92:29

It's started. It's happening. There's a

92:31

really fascinating story that comes

92:33

partly out of ancient human DNA

92:35

literature and speaks directly to this

92:37

this idea that I think we feel

92:39

uncomfortable with things. We feel

92:40

comfortable with new technologies

92:42

initially because there's kind of this

92:43

reptile brain thing going on where first

92:44

we have to decide if we're scared of it

92:46

before we can decide if we're curious of

92:48

something, right? So there's initial

92:50

push back there. But we are doing as you

92:53

say genetic selection on humans by

92:57

choosing our mates and

93:01

it makes us uncomfortable even to think

93:03

about that. But here is a relatively

93:06

benign example to show that that's true

93:09

and it has to do with human height.

93:11

Right? So we know unlike IQ which is

93:15

very difficult to pin down which bits of

93:17

your genome mean IQ and IQ is measured

93:20

by what and what are you at and it's

93:21

different in different cultures and so

93:23

that's hard but height is relatively

93:25

easy and we know that it's heritable. So

93:27

we know that there's bits in your DNA

93:29

that can mean that you're tall or short.

93:30

I'm 5t tall, so I didn't get any of the

93:32

tall genes, right? I'm little. But we

93:35

know now by looking at the ancient human

93:37

DNA that in Europe at least where

93:39

there's a lot of very tall people in

93:40

Northern Europe, right? The the Dutch

93:42

are extremely tall. I remember going

93:44

>> going to the Netherlands and imagining

93:46

that I was going to be like speciating

93:47

there where I would be walking in

93:48

between people as they were above me,

93:50

you know, like but like driving a tiny

93:51

car where with a lot of big trucks on

93:53

the highways and anyway, that's kind of

93:55

what I feel like when I walk around in

93:56

the Netherlands.

93:56

>> The Dutch are very tall, very kind, but

93:58

very tall.

93:58

>> Very tall. But we know that a lot of

94:00

these genes were first introduced into

94:02

Europe with the step people at about

94:04

4,700 years ago at the Yam Nia and that

94:06

originally they were migrating and for a

94:09

long time we thought that people were

94:11

just getting taller because of

94:12

environment. They were learning more

94:14

about health. They're learning more

94:15

about what they should eat. And yes,

94:16

there is some truth to that. But height

94:18

in Northern Europe has kind of plateaued

94:20

now and people have reached what seems

94:22

to be the tallest you can be with this

94:24

set of genes that exist in people today.

94:27

But it is there. It's in Northern

94:29

Europe. It's it's not in other parts of

94:31

the world, right? And so there is human

94:34

genetic selection for a trait that we

94:36

can visibly see that makes people look

94:38

different from each other. That isn't

94:40

because somebody's picking an embryo and

94:42

a sperm in a dish. So we would be naive

94:44

to imagine that it doesn't happen, that

94:46

it hasn't happened throughout our

94:47

evolutionary history, or that we can

94:49

control it. But I think what offends us

94:51

about it, this innate reptilian brain

94:54

part of us, is that while we don't care

94:58

that a Chihuahua and a boxer we pick, we

95:03

engineer to have different traits

95:05

because they have different roles in the

95:08

society because we have created the

95:10

roles for them in society. We created

95:11

them. They were once greywolves. We like

95:14

to think of people as not having niches

95:17

to fill, as having some freedom of

95:19

choice, to be able to pick what they

95:20

want to do and what they want to be. And

95:23

this idea that one generation might do

95:26

something to take that away from the

95:28

next generation just sits really

95:30

uncomfortably with us. It's wonderful

95:32

that you're doing public education on

95:34

these things because I think people

95:36

really need to understand that um there

95:37

are well-meaning scientists who are not

95:39

just trying to figure out you know what

95:41

would happen if and I [snorts] think

95:43

that it's clear that there are going to

95:44

be more things like this right and so we

95:47

we have to navigate forward with that

95:50

similar to AI it's not going anywhere

95:52

just like smartphones aren't going

95:53

anywhere and and the question is what is

95:55

the best use of this the safest uses and

95:57

where can it evolve our our thinking in

95:59

our lives in really unforeseen ways in

96:02

unforeseen positive ways.

96:03

>> We're really only just beginning to see

96:05

this. I mean, you know the story of baby

96:07

KJ, the first child who was cured of a

96:12

genetic disease using the tools of

96:13

synthetic biology. This was a child that

96:15

was born with um ura cycle deficiency.

96:18

He his blood was building up in ammonia.

96:20

And because people scientists had done a

96:24

ton of research on this particular

96:26

condition and really understood a lot of

96:27

what was happening they were able to

96:29

identify the cause of this genetic

96:31

disease and then it was a collaboration

96:33

between academic industry NIH the

96:36

children's hospital Philadelphia where

96:38

he was born this huge collaboration came

96:40

together took six months designed a base

96:44

editor crisper base editor to target his

96:46

particular cells come up with a delivery

96:49

mechanism to get it into his liver, do

96:52

all of the testing that you need to do

96:53

to make sure that it's safe, and then

96:55

give him a crisper medicine, a bespoke

96:58

crisper medicine as a six-month old kid,

97:01

three times, and he is cured of this

97:03

disease and will live a normal life.

97:04

>> Amazing. And no one accuses those

97:06

doctors of playing God,

97:08

>> right? That's what's so funny. I I mean,

97:10

here I guess we're sort of exploring in

97:12

the background like what what

97:14

establishes

97:15

>> why is that not playing God in the same

97:17

way that anything is playing God? I

97:18

think we play God every day and you know

97:22

and in Judaism there's actually the idea

97:24

that you're supposed to take care of the

97:26

natural world out there. So you're

97:27

actually playing human in this case

97:28

instead of playing God when you're using

97:31

the tools available to you to actually

97:33

make the world and the people around you

97:34

better and healthier. When we took a

97:36

greywolf and decided we were going to

97:38

let its puppies live in our campsite as

97:40

hunter gatherers 30,000 years ago, we

97:43

were making a decision that impacted

97:44

another species. as we took tacente and

97:48

turned it into corn. Every decision that

97:50

we make about which populations of

97:52

species to protect and which not to

97:54

protect to decide to allow corals to

97:57

have this genetic modification so they

97:59

can survive in the habitat that we

98:01

changed by introducing cane toads. These

98:03

are all decisions we make that fall into

98:06

that category of exerting human

98:07

influence on the world. But the world

98:09

today is a human world. And the species

98:12

that live today and thrive today are

98:14

those that have figured out how best to

98:16

do that in the niches that we have

98:18

created for it. And we need to just deal

98:21

with that and get better at it. Use the

98:23

tools at our disposal.

98:25

>> Can I ask you about ferrets?

98:27

>> You can.

98:27

>> And I also want to talk about stuff that

98:29

lives underwater. That ecosystem has all

98:32

sorts of issues that it needs to deal

98:34

with. Humans probably have to intervene

98:36

really quick or we're going to be in

98:37

trouble. So ferrets, they're not rats,

98:39

they're carnivores, great binocular

98:41

vision, great hunters. But a few years

98:43

back, the blackfooted ferrets were

98:45

almost extinct. My understanding, this

98:49

might be wrong, was that it was that the

98:51

prairie dog population got out of

98:53

control when the numbers of blackfooted

98:56

ferrets were were diminished. And as a

98:58

consequence, the grasslands were being

98:59

eaten up like crazy. And that had all

99:01

sorts of downstream negative

99:02

[clears throat] consequences. So it was

99:04

important to reestablish the blackfooted

99:05

ferrets, not just cuz they're cute. And

99:06

my understanding is that it was one

99:08

ferret Scarface who sired like 300

99:11

litters [laughter] uh or more and they

99:14

were able to resuscitate or at least

99:16

partially resuscitate the population. So

99:18

I'm curious which elements of that

99:20

recollection are false and also whether

99:24

or not there's any concern about

99:25

diversity given that it was one uh one

99:28

male siring all these all these litters

99:30

since you get a bunch of kits and

99:31

they're mating. But mating of close

99:33

relatives is bad for genomes for reasons

99:36

that sort of emerged earlier is you get

99:38

homozygosity. You get genes that are too

99:40

similar and then if you have most people

99:43

dominant alals, you know, where you only

99:45

need one copy, okay, uh that's a

99:47

separate matter. But when normally many

99:49

mutations, you need two copies recessive

99:51

alals. But if you get genes that are

99:52

very similar between brother and sister,

99:54

you're likely to have two recessive

99:56

alals and you get bad mutations and

99:58

>> you can get deformities and sterilities

100:00

and low IQ. It's a very interesting

100:03

thing that throughout all species

100:05

inbreeding is bad

100:07

>> to a point. The the island foxes, the

100:10

Channel Island foxes that you talked

100:11

about, this is a really fascinating

100:13

example of a population that was so

100:16

small for such a long time and lived in

100:18

a pretty steady environment with no

100:20

predators that they went through that

100:22

bottleneck where all of those bad

100:24

mutations were expressed and purged from

100:26

the population. And they have almost

100:29

identical genomes. They have almost no

100:31

genetic diversity and they are perfectly

100:33

healthy. Wow. Now I don't know if

100:35

something happened to that habitat if

100:37

they wouldn't be able to survive because

100:38

there's no diversity of if a disease

100:40

came in they would all be susceptible

100:42

rather than some versus not.

100:44

>> And that's a very protected region. I

100:46

know that because my college girlfriend

100:47

was environmental studies major and they

100:50

used to go out there and it's very

100:51

protected. You can't just like take a

100:53

boat and like stomp around the those

100:55

islands.

100:55

>> But it's fascinating. It is fascinating.

100:57

It is fascinating. In general, my

100:59

understanding is that reading with close

101:01

relatives is bad. Really bad. Certainly

101:03

for humans, which is why in Iceland and

101:05

Scandinavia, there's these incredible

101:07

genetic records dating back to when

101:09

there were fewer foreign opportunities

101:11

to mate with pe foreigners, right? We

101:13

were going to [laughter] be blunt about

101:14

it. So, what's the deal with these

101:16

blackfooted ferrets? Because it's an

101:18

example of this a dynamic tension

101:20

between trying to reestablish a

101:22

population and wanting enough genetic

101:24

diversity.

101:25

>> Yeah. And it's also a great example of

101:27

how we can use multiple tools um that we

101:29

have for genetic rescue simultaneously

101:31

to help a species. I should say that the

101:33

Blackfooted Ferret Project is not

101:34

something that I was personally involved

101:36

with. This is a project that's been a

101:38

collaboration of US Fish and Wildlife

101:39

and the San Diego Frozen Zoo and Revive

101:41

and Restore, which is a nonprofit

101:43

conservation organization. I was on

101:44

their board for a long time and they're

101:46

doing really fun work. But the story is

101:48

interesting. The story is that the

101:50

prairie dogs, which blackfooted ferrets

101:52

eat, were a real pain in the butt for

101:54

farmers. And so they wanted to get rid

101:56

of prairie dogs. And so they set out all

101:59

these ways of just trying to kill a

102:00

whole bunch of prairie dogs. And it

102:01

killed a couple of prairie dogs, but it

102:03

killed almost all of the blackfooted

102:04

ferrets in instead. And so we ended up

102:07

with a situation where blackfooted

102:09

ferrets were nearly extinct in the wild.

102:11

People brought them into captivity, but

102:13

they could not figure out how to get

102:15

them to breed in captivity. And

102:16

eventually the last captive animal died

102:19

and then the last wild animal died and

102:21

they thought the species was extinct. It

102:23

was actually on the I think it's the

102:25

class of 1966 the first list of

102:27

endangered species when the endangered

102:29

species act first passed. Blackfooted

102:31

ferret was but then like a decade later

102:34

Shep the family dog of a family that

102:37

lived outside of Matitzi Wyoming killed

102:39

a blackfooted ferret while it was out

102:41

one night. And the the story is that the

102:44

family took it in to a taxiderermist and

102:46

they were like we want this cuz it's

102:48

kind of cool. Like what is this? And the

102:49

dude was like uh uh I'll be back. And he

102:52

went back and called somebody and was

102:54

like I think we have a you know this

102:56

extinct species here. And it was proven

102:58

that it was a blackfooted ferret. So

103:00

there was a population that persisted

103:02

around Matiti Wyoming. people started

103:05

studying this population again and they

103:07

went and they collected a whole bunch

103:08

more individuals, brought them into

103:10

captive breeding and knew more about

103:12

this. It was a real international push

103:14

to figure out how to make these animals

103:16

breed in captivity. But then they

103:17

noticed that the animals in the wild

103:19

started to get sick and in a last stitch

103:22

effort to save them, they went and

103:23

collected every individual that they

103:25

could find in the wild. And I believe

103:26

one of them was Scarface who is the one

103:29

that eventually like bred with everybody

103:30

and ended up having a bunch bunch of

103:33

diversity. scarf face. He had a scar on

103:34

his little blackfooted ferret little.

103:36

They are so cute. I recommend everyone

103:38

who's hearing this. Look them up like

103:40

pictures.

103:40

>> Don't get one as a pet. Trust me.

103:42

>> So, this is a successful captive

103:44

breeding program and every year they can

103:46

release about 500 blackfooted ferrets

103:48

into the wild. But there are two

103:51

problems. The one is what you mentioned

103:53

and that is that there's not that much

103:54

genetic diversity. There were a handful

103:56

of founders in this population. All of

103:58

them were from the same population near

104:00

Matiti, Wyoming. So they're already

104:02

closely related to each other and over

104:04

time the amount of diversity in that

104:06

population is going to decline. So a few

104:09

years ago this collaboration of

104:11

organizations got together and said

104:14

there's a solution to this. In the

104:17

frozen zoo in San Diego there are tissue

104:20

samples from that original captive

104:22

breeding population unrelated to the

104:25

individuals that were in Matiti Wyoming.

104:27

So different genetic diversity. If we

104:30

could use cloning, the tools that we

104:32

will use to make mammoth, that we used

104:34

to make our direwolves, that most

104:35

famously was used to make Dolly the

104:37

sheep, we can take those skin cells and

104:40

turn them into a living blackfooted

104:44

ferret.

104:44

>> So, revert them to stem cells.

104:46

>> Not in this case. You just take an egg

104:48

that you've harvested from another one

104:49

and you inject the cell into the egg and

104:52

the proteins in the egg itself can do

104:54

that epigenetic reprogramming, which is

104:56

kind of like reverting, but you don't

104:57

need the Yamanaka factors. just need the

104:59

egg to do this. So, it becomes a cell

105:00

that starts to divide and become all the

105:03

different types of cells that make up an

105:04

animal. So, I think in 2020, Elizabeth

105:06

Anne was born. Elizabeth Anne was the

105:09

first clone of 40-year-old tissues from

105:12

an animal that had lived decades

105:14

earlier. She was not reproductive,

105:16

unfortunately. She was never able to

105:18

have offspring

105:19

>> by behavior or there was some biological

105:20

wiring issue.

105:22

>> There was some wiring issue. Her ovaries

105:24

weren't releasing the eggs or something.

105:26

I can't remember. spirits are are have

105:28

this induced ovulation thing too. They

105:30

have a kind of funny funny I mean to us

105:32

it's funny to them it's perfectly normal

105:34

>> but they did make another one and from

105:36

the same line and that animal has

105:38

reproduced and there were offspring from

105:40

that that can be able to be introduced.

105:41

So so here we have a solution to

105:44

introducing genetic diversity into a

105:46

population that had lost genetic

105:48

diversity on the path to extinction.

105:50

But there's another problem, and that is

105:53

that the thing that's actually killing

105:55

the blackfooted ferrets in the wild is

105:57

plague.

105:58

>> Bubonic plague.

105:59

>> Plague. Yes.

106:01

>> That's another reason you don't want to

106:02

have a ferret as a pet.

106:04

>> Well, definitely not a blackfooted

106:05

ferret. [laughter] I mean, the the

106:06

European I you don't want to send me off

106:08

on a thing. I had a pet ferret leave

106:11

many years ago and I don't you were

106:13

going exactly where I'm going.

106:14

>> Domesticated ferret. It was not the It

106:16

was not the blackfooted ferret. Domestic

106:18

ferrets are not susceptible to plague

106:23

and that susceptibility must have some

106:26

genetic underpinning. So if we can

106:29

figure out what that is and there are

106:31

several hypotheses that different teams

106:33

are working on right now, we could use

106:35

the tools of synthetic biology, genetic

106:37

engineering to edit the genome of these

106:39

blackfooted ferrets and make them

106:41

resistant to plague. So, not only use

106:44

cloning, a form of genetic rescue, but

106:46

then also synthetic biology to create

106:48

animals that are able to survive in this

106:51

habitat despite that people have mucked

106:53

with that habitat in a way that makes

106:54

their survival hard. We can use these

106:57

same tools for for lots of different

106:58

things. We have a project related to our

107:00

dodo project with the maritian pink

107:02

pigeon. Another

107:02

>> is it actually pink?

107:03

>> It's pink. It's very pink. Um,

107:05

>> when you pick cool animals to wear,

107:06

you're like woolly mammoth, dodo bird,

107:08

pink pigeon. you [laughter] like you

107:10

know you guys know how to you know uh

107:12

get

107:12

>> part of part of it right dire wolf you

107:14

know [laughter] and the direwolf thing

107:16

my understanding is that it was also on

107:18

the heels of like the game of thrones

107:19

popularity so that that was like a piece

107:21

if you weren't going to make a dragon

107:22

you might as well make a very large wolf

107:23

because it has these kind of

107:24

connotations

107:25

>> when I was working on the first direwolf

107:27

genomes in way before I was involved

107:29

with colossal but the very first time we

107:31

published direwolf DNA we were desperate

107:33

to sync the publication with some editor

107:36

in some you know science journal to the

107:38

Game of Thrones coming out, we were

107:40

like, "We can get this genome done.

107:42

Surely they'll be they'll want our paper

107:44

because then they can have some press

107:46

attention to the dire paper." We never

107:48

got the DNA finished in time to do that.

107:50

It was the so poorly preserved. They

107:53

lived in warmer parts of the world and

107:55

so it was really hard to find samples

107:56

that had high quality DNA to be able to

107:59

get. It was a fun project though.

108:00

>> Were the babies cute?

108:02

>> Yes.

108:02

>> Yeah. Okay. [laughter] They didn't come

108:03

out ferocious. Yeah. No, they were

108:06

putting a plug in for them. Wolf here.

108:09

Extremely adorable.

108:10

>> Yes, I bet. Everyone loves a baby

108:12

animal.

108:13

>> Well, that's how we got dogs. I'm pretty

108:14

sure they were hanging around outside

108:16

cleaning up after us. Um, giving us a

108:19

little bit of advantage cuz if something

108:20

scary came like a giant cave bear or

108:22

something, they would howl and we would

108:24

our ancestors would know. But I'm pretty

108:26

sure that that was just commensal. We

108:27

could have lived for a long time with

108:29

them living around us and us living

108:31

around them.

108:32

>> But I think their puppies were cute.

108:34

Yeah, you make a really good point. I

108:35

mean, you know, this notion like the the

108:37

eyes of the getting rounder like in the

108:40

in dog breeds, you know, because people

108:42

like them. I mean, all the doodle

108:43

breeds, the hypoallergenic breeds, they

108:45

don't have fur.

108:46

>> I think about that sometimes cuz I have

108:47

two Labradors and so my house is

108:49

permanently coated in at least one layer

108:51

of dog shed hair fur. [laughter]

108:55

We're so comfortable as humans to uh

108:58

modify species for our immediate

109:00

convenience, but sometimes that's

109:02

obviously detrimental to entire

109:04

populations. You're talking about

109:05

reintroducing uh species that have not

109:07

been there in a long time or or

109:09

expanding their numbers. I would like to

109:10

think that with AI or other modeling

109:15

tools that you could make predictions,

109:18

not perfect, but better predictions

109:20

about, okay, let's model in the mosquito

109:22

population, the where the swamps are,

109:25

what the seasons are like, what the qual

109:28

population looks like, and you could put

109:30

you can model as many things that you're

109:31

aware of.

109:33

There's no graduate student, no matter

109:35

how brilliant, or professor, no matter

109:37

how brilliant, that can mathematically

109:39

model all the different influences of

109:41

all these different plant and animal

109:42

species. But my but AI can run it 24

109:45

hours a day, 7 days a week.

109:46

>> This idea of digital twins, can we

109:48

create a digital twin of an ecosystem

109:50

and then perturb it in lots of different

109:51

ways and see what happens. I think this

109:54

is totally within the realm of

109:55

feasibility. It's big foundational model

109:57

but I I know there are groups of people

109:59

who are working on this for for smaller

110:00

systems like individuals to think about

110:02

human medicine how what happens in this

110:05

system this particular organ system if

110:07

you perturb it in this way and using AI

110:10

to be able to narrow down the window of

110:13

what edits might be reasonable to make

110:15

and what might others I mean we're doing

110:16

other things we have a completely

110:18

independent group of people that make

110:19

what we're calling our care reports

110:21

which are deep dives into the ecosystems

110:24

where we would

110:25

releasing any future deextinct animal.

110:28

We we release these when we have them

110:30

with the blue buck. We have a blue buck

110:32

care report that people can read to

110:33

figure out what we've thought about in

110:36

terms of the impact to the ecosystem

110:38

over short, medium, and long term. And

110:39

it involves conversations with local

110:41

stakeholders and conservation biologists

110:44

and people who are thinking about it

110:45

from all sorts of different

110:46

perspectives. So, it's absolutely, as

110:49

you say, critically important to think

110:51

hard before doing things,

110:53

>> but also be willing eventually after you

110:55

understand as best you can what that

110:57

risk was.

110:58

>> Yeah. Along those lines, I predict in

111:01

probably 3 to 5 years, not 10, the

111:04

technology that we were talking about

111:06

earlier of of mutating the HIV receptor,

111:08

that sort of thing will be very common

111:11

place in the context of fertility. I

111:13

mean, if we knew a certain constellation

111:15

of disease genes inevitably led to a

111:18

disease or a high probability of disease

111:20

and there was a a way to use gene

111:22

editing to rule those out once that had

111:24

been established a number of times, I'm

111:26

willing to bet even outside the Bay Area

111:28

that people would want that. No, nobody

111:30

wants a a harder life for their child,

111:32

>> right? You know, it could also come I I

111:34

I've thought about this when my my last

111:36

book is called Life as We Made It. And

111:38

it's all about how we've been messing

111:40

with the species that we encounter for

111:41

as long as we exist. In the last

111:42

chapter, I think about how we might turn

111:45

our editing technology on ourselves. Um,

111:48

really asking the question, what is it

111:49

that will push us over that edge? Right?

111:52

>> One of the possible scenarios is that we

111:54

have a, you know, a pandemic, a crisis,

111:56

and we learn that there are certain

111:59

people who have a particular genetic

112:01

variant that means that they will die.

112:03

And suddenly the most morally

112:05

reprehensible thing that we could

112:07

imagine doing becomes the actual only

112:10

ethical solution. And that is the thing

112:12

that pushes us over the edge.

112:14

>> You mean so you're talking about more

112:15

people dying or rescuing that through a

112:18

through gene editing

112:18

>> gene editing ourselves. Yeah.

112:20

>> And now we're talking more about public

112:22

perception scientists and implementation

112:24

and and where those intersect. And I

112:26

think that one thing that I've learned

112:28

is that a lot of it is about the

112:30

delivery method. So when we hear about

112:32

gene editing and you're taking a cell

112:34

and you're putting in a dish and you're

112:35

or even Ixie what you described before

112:37

like you know um the in in a dish of you

112:40

basically injecting a sperm cell into a

112:43

into an egg as opposed to running a

112:44

sperm race right people are a little

112:45

more comfortable with that than they are

112:47

like the Ixie it's like this one we're

112:49

taking this one already because you're

112:50

biasing an outcome in a strong way right

112:53

you're not letting the system decide

112:54

>> but people are okay with this if for

112:57

example you have a man with a very low

113:00

sperm count or with very few healthy

113:01

sperm where you can take a healthy sperm

113:03

and put it in the egg.

113:05

>> Yeah. No, I think people are comfortable

113:06

with it now because it's been around for

113:08

a while.

113:09

>> It's this every new technology you have

113:11

your first is it scary like why do I

113:13

hate this before? Let me be curious.

113:15

>> Yeah. I mean in a in a different

113:16

conversation but one that is relevant.

113:18

You know, it's fortunately we're not

113:20

talking about it today, but you know, I

113:21

get asked about peptides like every 5

113:23

minutes these days. And not the peptides

113:25

of the GLP sort, but what's happened in

113:28

the health space is that the GLP drugs

113:31

have dstigmatized and taken away needle

113:33

phobia by putting the it's still a

113:36

needle, but it's on a pen. And so now

113:38

people are like, "Which peptide should I

113:39

take?" I'm like, "How do you get it?" No

113:41

one's saying like, "Is there a capsule

113:42

version anymore?" That was a big thing,

113:44

right? And now if you're like because it

113:46

turns out it's the hypodermic part, not

113:47

the needle that freaks people out. The

113:49

needle kind of freaks people out, but

113:51

people have no problem taking a pen and

113:52

going but they don't like using a

113:54

plunger and a needle, right? So now

113:56

people needle phobia has plummeted and

113:59

people are willing to explore things

114:00

that some of which there's good data on,

114:02

some of which there's like no data and

114:05

people are pinning themselves all over

114:06

the country, right? And so it turns out

114:08

that something this couldn't have been

114:10

predicted that there was this other

114:12

thing that was getting in the way. It

114:13

wasn't really the thing about taking the

114:15

the peptide that may or may not have

114:17

enough data. There are a lot of data on

114:19

the GLPS, but it really was the delivery

114:22

method. We saw this with computers,

114:24

right? They were big clunky things. You

114:25

had everyone had to use the same one.

114:27

Then all of a sudden, you turn it into a

114:28

phone that's also a camera and the next

114:29

thing you know, you kind of forget that

114:31

it's a computer, right?

114:32

>> Same thing with brain machine interface.

114:33

As long as people think you need to

114:34

drill into the skull or put something a

114:36

wire behind the ear, pretty soon this

114:38

will be non-invasive,

114:39

>> right? And then people aren't thinking

114:41

about, oh, it's going to control my

114:42

brain. So the big fear wall tends to

114:46

come down to zero through these things

114:48

that are hard to predict. And it's often

114:51

a combination of the messaging and kind

114:54

like like maybe everyone should pet a

114:56

dire wolf just once, just a little bit.

114:59

>> Would you would you like to pet a dire?

115:00

>> I would love to pet a dire especially

115:01

the little ones. But you know,

115:02

>> you should come visit us in the lab and

115:04

you'll see some of the really cool stuff

115:05

we're doing. The artificial wombs, our

115:07

really cool artificial eggs. You know,

115:09

there's a

115:09

>> you have artificial wombs.

115:11

>> We have one of

115:12

>> I realize this is going to terrify

115:13

people. I'm a biologist, but Okay, so

115:14

describe to me an artificial womb and

115:16

what that looks like.

115:17

>> Right now, we're thinking about about

115:18

mice, right? So, the idea is if we're

115:21

going to have hundreds of mammoths,

115:24

we're not going to get there by having a

115:26

hundred Asian elephants pregnant for 22

115:29

months with with mammoths. We need a way

115:31

to be able to birth multiple mammoths

115:34

simultaneously without using elephants.

115:36

Elephants should be allowed to make

115:38

elephants, right?

115:39

>> And so we'll need to build the

115:41

technology to do this. But building that

115:43

technology is also an opportunity to

115:45

build technology that can really help

115:48

people and can help other species, but

115:51

really thinking mostly about people. I

115:53

have a friend who was diagnosed with

115:55

breast cancer during her pregnancy and

115:57

she had to make a decision about not

115:59

starting the therapy until she gave

116:01

birth or taking a giant risk with the

116:03

baby. What if we could just take the

116:05

baby out and be able to put it in a

116:07

place and have it completely develop and

116:09

then she could start the treatment a

116:11

couple of months earlier? Or if a baby

116:13

needs surgery, but you can't really do

116:14

it inside, have a safe way to have that

116:17

baby come out. These are all

116:19

technologies that are will be feasible

116:21

in the future that are motivated by

116:23

deextinction. How crazy is that?

116:25

>> It is wild. One one of the most

116:27

incredible things that I've witnessed is

116:30

a a niku. It's a different form of what

116:32

you're describing, but it's incredible.

116:34

Like you go in these places and it's

116:36

room upon room and it's super quiet and

116:38

you know they try and keep it dark and

116:39

there I mean like these are artificial

116:42

wombs so to speak, right? These are so

116:44

preey babies and some of which are very

116:46

preey. Some have issues and some don't.

116:48

Some are just early which is an issue of

116:50

its own own kind. But the niku

116:53

technology has come a long long way.

116:55

It's you know far from perfect but

116:57

that's essentially what you're talking

116:58

about right?

116:59

>> Yes. a more sophisticated NICU where the

117:03

we've learned so much more because of

117:05

the complimentarity of understanding how

117:09

genes map to phenotypes and being able

117:12

to use all of the genetic resources that

117:14

are available to us from all of the

117:16

people and learning about epigenetics

117:18

and building this technology that builds

117:20

on what we understand about the

117:22

developmental process. I mean, it's a we

117:24

are facing a future that I think is

117:26

really exciting and spectacular, maybe a

117:29

little bit scary, but I think as long as

117:30

we keep talking about it and having

117:32

conversations about it way before it's

117:33

possible, we can get to a place that

117:36

people are comfortable with and people

117:37

are excited about.

117:38

>> There seems to be a theme lately in my

117:40

life where people come on this podcast

117:41

and they're talking about

117:42

revolutionizing education. We had

117:44

someone uh the principal of Alpha School

117:46

come on here. Kids spend two hours a day

117:48

on their iPad learning from an AI tutor

117:51

that knows exactly what they need to

117:53

fill every gap in their knowledge.

117:54

>> Cool. I need that

117:55

>> two hours a day. Then they go like learn

117:57

how to farm, start businesses. It was

117:59

interesting that public reaction is very

118:01

divided on that. People say great and

118:03

then other people say, "Oh yeah, but it

118:04

costs a lot so it's only for rich kids."

118:06

And it turns out they're starting

118:07

scholarship programs. And but the idea

118:09

there is to figure out the best way to

118:12

educate humans and then wick it out to

118:14

everybody. But so but there has to be

118:16

this pioneering spirit and that's always

118:18

going to stimulate concern and there's

118:20

going to be the halves and have nots

118:21

things in people's minds. I think about

118:23

your work in in a different but similar

118:25

vein where being a pioneer is hard

118:29

because you have to tolerate people

118:31

saying and and a lot sometimes the

118:33

assumption that oh you're doing this

118:35

just for your own self-interest. It's

118:36

all financially driven and what about

118:38

the you know what about the starings

118:40

that you know need our help right now.

118:42

There's always this like what about the

118:43

things that need our help right now. Why

118:45

are we doing this? And I don't have any

118:47

great solutions uh for you on [laughter]

118:49

this, but I think that public education

118:51

is clearly a big part of it. And I think

118:53

the humanizing it at the level of who's

118:55

doing it. Like it's very clear that you

118:57

love biology. It's very clear that you

119:00

like hard problems in biology. And it's

119:03

very clear that if I may, it it seems

119:05

like you ra you're not afraid of but you

119:08

rather enjoy the the fantasy positive

119:10

outcome part of it. It's not all doom

119:12

and gloom. I mean this is similar. This

119:15

example works for me. Hopefully it works

119:17

for you. You know, like Elon wants to go

119:18

to Mars and I have guests on the podcast

119:21

that say like no, he should be curing

119:23

humanity here. And and I I told that

119:26

person that's like telling you know the

119:28

Metallica they should be the Grateful

119:30

Dead. They we need individuals who are

119:32

thinking in a different way steeped in

119:34

really good ethics and are excited about

119:37

the problem to evolve this thing that we

119:38

call life on earth.

119:40

>> Sure. And I'm I'm good with that if

119:41

people say to me, "Oh, why are you

119:43

working on this? You should be curing

119:45

cancer." Those are two different

119:46

although you know there's things you

119:48

know what quit this I don't know you but

119:50

quit this and go cure cancer. Well, I

119:53

mean, we are learning things from

119:54

elephants, for example, that we have to

119:56

know about and that is actually relevant

119:57

to curing cancer, but that's not our

119:59

main I'm not focusing on curing cancer.

120:01

But people who say you should do this

120:03

instead of saving living species, I I

120:05

just really have to push back on that.

120:07

We are doing both. There is not enough

120:10

money in conservation. There just isn't.

120:13

The idea that we're developing tools

120:14

that are immediately applicable to

120:16

existing conservation problems using new

120:20

funding, new resources, bringing in new

120:22

investment ideas, excitement,

120:24

enthusiasm, excitement from students. I

120:27

mean, why why is this not embraced? Why

120:29

is it always the well, you must not be

120:31

doing that, right?

120:32

>> We are doing that. the direwolves. When

120:34

we announced the direwolves, we

120:35

announced that we had cloned red wolves,

120:38

which is the most endangered species of

120:40

wolf in North American, endemic wolf

120:42

that again is living in a very small

120:44

population, captive breeding in the

120:46

Carolinas. We had colleagues Bridget von

120:48

Halt um who works at who's at Princeton,

120:51

who had discovered a population of

120:53

coyoteike animals that have a bunch of

120:55

redwolf ancestry, some on the order of

120:57

more than 75% redwolf ancestry. And so

121:00

we've cloned these wolves as a means to

121:03

introduce new red wolf genetic diversity

121:05

into the existing red wolf population

121:08

using the same toolkit that we used to

121:10

be able to clone and generate our

121:12

direwolves.

121:13

Have you heard about our red wolves?

121:15

>> No. They were announced at the same time

121:17

though. So all these people who are like

121:19

you should be doing this instead of

121:20

this, pay attention. We are.

121:23

>> They saved the ginger wolves. I love it.

121:26

Yeah. There's something that I think

121:27

people need to understand about

121:29

scientists and probably technologists

121:31

too but that's not my uh area which is

121:34

the person matters like the person doing

121:36

the work has to be really really drawn

121:39

to almost obsessed with the project

121:42

because you could sort of ask like for

121:44

any scientist there are a lot of

121:45

scientists working on kind of pedestrian

121:47

stuff in my opinion used to review a lot

121:49

of grants for NIH and you go like eh

121:50

sometimes those will get funded

121:52

sometimes not but but that's the kind of

121:54

science that certain people do they want

121:56

to turn a crank and then there are

121:58

certain scientists who really want to be

122:00

out on that like really cutting edge and

122:02

they have to be obsessed with the

122:04

question otherwise you get nothing in

122:05

the same way that I think Elon's pretty

122:07

obsessed I don't know him but with this

122:09

going to Mars thing and I don't think he

122:11

he's got a bunch of other stuff going on

122:13

clearly but you can't really draw him

122:14

off target by saying hey why why aren't

122:16

you working on curing cancer or building

122:18

I guess he is building flying cars so

122:20

the example of musicians to me just

122:22

works like you you can't get Metallica

122:25

to play the Grateful Dead happily.

122:27

They're just not going to do it. It's

122:29

not in their spirit. It's not in their

122:30

their soul to do it that way. And so I

122:33

think that like we have to accept this

122:35

about people and the people who move

122:38

things forward. Like Howard Hughes, the

122:39

very Howard Hughes, right? He liked his

122:41

aircraft, right? He liked you. You can't

122:43

convince people like, "Oh, you should be

122:44

saving the coral reefs." Someone else

122:46

should be saving the coral reefs, but

122:48

they need to be obsessed with coral

122:49

reefs. I mean, I'm stating the obvious,

122:51

but I think from the inside I relate.

122:54

>> Yeah. Also, people shouldn't

122:55

[clears throat] feel bad about not being

122:56

able to do everything. If you think

122:57

about the amount of time that you have

122:59

in your life, if you try to do 10 things

123:02

instead of one thing, you're going to

123:03

get way less done. You're not going to

123:05

make an impact. So,

123:06

>> it's so interesting. People love to tell

123:07

other people what to do. But I will say

123:11

there are people out there, I know this

123:13

because of this podcast, there are

123:15

people out there who are enchanted by

123:17

biology, that are enchanted by what

123:19

you've told us today, that are excited

123:21

about these species and can imagine the

123:24

positive outcome. And some of them are

123:26

young and some of them are old, but God

123:28

bless the young ones because they're the

123:29

ones it only takes a few of them in a

123:31

certain area of science to really move

123:32

things forward as you know. So, where

123:35

are the public education efforts outside

123:37

of podcasting and whatnot? Like, how

123:39

many people are at Colossal?

123:40

>> There are about um 120 scientists and

123:43

then there's, you know, other other

123:45

people involved. We have a huge social

123:46

media team who put a lot of science bits

123:49

out for the world targeting different

123:51

audiences with different types of

123:53

information. We work with a lot of

123:55

podcasters and we work with other teams

123:58

of people making documentaries and

123:59

films. We publish papers using the

124:02

traditional old school peer review

124:04

process. We post some papers on the

124:06

archive if we think it's important to

124:08

get the information out faster before

124:10

peer review. So, we're trying lots of

124:13

different methods of communicating. And

124:14

of course, I go out and talk to people

124:16

and I'm a National Geographic explorer.

124:19

So, I do I take part in the National

124:20

Geographic live series. So I've gone and

124:22

just talked to communities about,

124:24

>> you know, conservation and genetic

124:26

rescue and deextinction and a future

124:28

that can be both biodiverse and filled

124:30

with people.

124:31

>> So in junior high, high school, graduate

124:33

school, were you sitting there thinking,

124:35

I'm in a department of zoology at Oxford

124:38

University, and there's a picture of

124:40

some old dude on the wall, this is what

124:41

how I felt when I went to Cambridge. I'm

124:43

like, that's Darwin's house or like

124:46

there are two ways to be in that kind of

124:48

environment. like whoa that that's so

124:51

and so and there's this history or was

124:53

it we can do this all much much better

124:55

because I get the sense that you like to

124:57

break the mold but I don't want to kind

124:59

of lead the witness here. So what were

125:00

you like as a kid and in graduate

125:02

school? Were you thinking, you know,

125:03

this this field, this whole zoologology

125:06

thing feels kind of steeped in old stuff

125:08

and I want to break it open or Yeah.

125:12

[clears throat] Like maybe just tell us

125:13

a little bit about your mindset in in uh

125:15

these kinds of

125:16

>> my origin story. I think I always

125:18

disappoint people with my science origin

125:20

story. I went to the University of

125:22

Georgia as a broadcast journalism major.

125:24

I had worked for the local TV station in

125:27

the corner of Northwest Georgia where I

125:29

grew up. I was on air

125:31

>> in the mornings. I did local cutins on

125:33

headline news at 24 and 54 after the

125:35

hour. When I went to the University of

125:37

Georgia, I was actually the news

125:38

director of a local radio station that

125:40

was there, which was not particularly

125:42

well aligned with being a freshman at

125:44

the University of Georgia. We'll just

125:46

say I was living in a dorm that had a

125:48

shared bathroom and we would I had to be

125:49

at work at 4:00 in the morning to write

125:51

and cut the news so I could be on the

125:53

drive time show. Do you remember these

125:54

from the '9s? Like the

125:56

>> Yeah. So, I had an opportunity to take a

125:58

class after my freshman year and it was

126:02

an honors program class and it was

126:04

geology and archaeology and it was a

126:09

nine-week class and we started off on

126:10

the east coast and learned about

126:13

minerals, identifying minerals and and

126:15

the sort of coastal dynamics on the

126:16

coast. drove across the country,

126:18

sleeping in national parks, drove up the

126:20

west coast, drove back across the

126:21

country and learned about the formation

126:24

of the national parks, the landscape

126:27

that is the US, right? And I thought to

126:30

myself as I was watching this, you could

126:32

see the scars on the landscape from

126:33

glaciers and we went to all of these

126:37

archaeological sites and anthropological

126:39

sites and saw the impact of people on

126:41

the ecosystem and the impact that we had

126:43

on those people. And I thought, this is

126:46

the kind of story that I want to tell.

126:47

Maybe I want to be a science journalist

126:49

instead of just a regular journalist.

126:52

The idiocy of people who think they're

126:53

an expert because they've done something

126:55

for a few years. I was like, I already

126:56

know how to be a journalist. I'll just

126:57

learn how to be a scientist, right? And

126:59

so I started taking science classes. I

127:02

ended up going to Panama, living on a

127:04

place called Barrow, Colorado Island,

127:06

and studying parasettoid wasps and

127:09

wasn't doing anything related to

127:10

genetics or really evolution. and it was

127:12

ecology, population ecology. And I met

127:15

somebody there who was starting up a lab

127:17

in Edinburgh. And [snorts] I thought he

127:20

was really smart and interesting. We put

127:22

together this proposal of a a project

127:24

that I could do as a PhD student where

127:26

we were going to study the type of wasp

127:28

that switches back and forth between

127:29

inbreeding and outbreeding. So the

127:31

question was, is the switch to

127:33

inbreeding something that is intended to

127:35

purge your genome of those delletterious

127:37

alals like the Channel Island foxes?

127:39

like if we inbreed, we'll get rid of all

127:41

that bad stuff that's accumulated. Then

127:42

we can go back to outreing.

127:44

>> It's a pressure test.

127:45

>> Yeah. So, we designed this experiment. I

127:47

went back to the University of Georgia.

127:48

I was like, I'm going to go to

127:49

Edinburgh. This is going to be great.

127:50

Help me apply for these scholarships.

127:52

And they said, cool. Because I couldn't

127:53

afford to go, you know, overseas for

127:55

grad school. And I said, cool. You can

127:57

you can apply, but you have to apply for

127:59

all of the scholarships that we have for

128:00

our honors program people together

128:02

because it's just one big package. So, I

128:04

applied for the Marshall scholarship to

128:06

go to Edinburgh

128:07

>> and the roads. And I did not get a first

128:10

round interview for the Marshall. So

128:12

ended up not obviously being able to go

128:15

to Edinburgh, but I got a road

128:16

scholarship. So I ended up at Oxford.

128:18

>> So you are a true I think you're our

128:19

first road scholar, you know. [laughter]

128:22

>> So I got a roads I ended up at Oxford. I

128:24

had no idea what I wanted to do or who I

128:27

was going to work with. And I met on my

128:30

first few days there this guy called

128:32

Alan Cooper who was a Kiwi. He was

128:34

setting up an ancient DNA lab. This was

128:37

one of the few labs at the time that was

128:38

going to be built to be able to process

128:41

these old samples. And I was really

128:45

excited about the idea of ancient DNA

128:47

because it brought together geology and

128:50

paleontology and storytelling. If I'm

128:53

reading DNA sequences from entire

128:55

ecosystems that used to be alive, I can

128:58

tell a story about how the environment

129:00

changed when people first arrived or or

129:02

how the environment changed with rapid

129:04

warming out of the last ice age. And I

129:07

was like, "This is the science I want to

129:08

do." Plus, it was brand new. Nobody was

129:10

doing it. There were a couple of

129:11

dinosaur DNA papers that had been

129:13

published and proven to be false. And it

129:15

was really an opportunity to bring stuff

129:17

together that hadn't been done before

129:19

and just do something entirely new. and

129:21

he told me that if I joined his lab I

129:23

could go to Siberia and that was enough

129:24

for me. I signed on the line. I was like

129:26

I'm in. So that's my origin story and I

129:28

think it is because it was new because

129:31

it was an opportunity to bring together

129:33

lots of different disciplines that you

129:37

know otherwise really hadn't been

129:38

thought of together. I got into

129:40

deextinction because everyone who works

129:43

in ancient DNA is asked as the first

129:45

question whenever they publish a paper.

129:49

This is you're working in ancient DNA.

129:51

We're doing stuff that's high-profile.

129:53

We get high-profile papers. It's it's

129:55

normal in science for this thing to

129:57

happen. You get interviewed by somebody

129:58

from the media and the first thing they

129:59

want to know is, "So, what does this

130:01

mean about how close we are to bringing

130:03

dinosaurs back to life?" Every time.

130:05

Every time.

130:06

>> I'm more concerned about the blackfooted

130:07

ferrets. Frankly, [laughter]

130:09

>> when I was researching my my second

130:11

book, I was using the New York Times

130:13

Wayback Machine, which is amazing. Love

130:15

the Wayback Machine. And [snorts] I was

130:18

reading the very first article about the

130:20

very first ancient DNA publication in

130:23

1984. Researchers from Berkeley in what

130:26

was called the extinct species study

130:28

group had managed to isolate using

130:30

molecular cloning because this was precr

130:32

days

130:33

>> a tiny little fragment of DNA from the

130:36

skin of a preserved quaga which is an

130:38

extinct type of zebra

130:40

>> and show that it was related to a zebra.

130:43

So the scientific finding was not that

130:45

illuminating, but the fact that DNA

130:47

survived after death, this was the first

130:50

discovery of that. So it was a big deal.

130:52

It really set off all of the the stuff

130:54

that became the dinosaur DNA days of

130:56

ancient DNA. The

130:58

>> lead to forensics in

130:59

>> all of the forensic stuff. Yeah. All

131:01

that came came out of this, too. But

131:03

when the journalist interviewed Alan

131:05

Wilson as the very first ancient DNA

131:07

researcher, publishing the very first

131:09

ancient DNA paper, he got to be the

131:11

first person to ask

131:12

>> the dinosaur question.

131:13

>> The dinosaur question. Yes.

131:15

>> I mean, it is true that if you walk into

131:16

the life sciences building at Berkeley,

131:18

there's a T- fullsize T-Rex skeleton

131:20

there. It's very cool. People love the

131:22

I've never been dinosaur obsessed. I I

131:25

can think of many more animals and human

131:27

diseases that to me are more

131:28

interesting, but this is like the why

131:29

don't you cure cancer thing. So,

131:31

>> yes. Well, but I think we get to mammoth

131:33

because as soon as people hear that and

131:35

understand that we can't have dinosaurs

131:37

because there's no dinosaur DNA, they

131:39

they tend to settle on mammoth. Either

131:40

mammoth or saber-tooth cat. Those are

131:42

the two things that that we get after

131:44

that. But I think it's just because

131:45

they're big, you know, it's it's this

131:47

big thing. We know they're extinct

131:49

because our ancestors hunted them.

131:51

>> We know they're relatively recent. We

131:53

can imagine what they looked like.

131:54

They're in popular culture a bit. And so

131:57

it's a matter of of awe of interest. I

131:59

think it's the size and scope that is uh

132:02

they make us feel small and

132:04

>> people don't like to feel small but

132:06

mammoths make us feel small too I think

132:07

but in a way that we we can appreciate

132:10

>> yeah there's something about the

132:11

psychology around this in terms of

132:13

public perception and the dinosaur thing

132:14

I'm going to go with that people want

132:16

the best for our species and other

132:18

species on average they're a little

132:20

scared based on for reasons that make

132:22

perfect sense to me based on what they

132:24

know and and what they don't know for

132:26

that reason and many other reasons I'm

132:28

just grateful that you'd come out here

132:29

and talk about this stuff today and that

132:31

you're doing what you do. I thought the

132:32

direwolf thing was super cool. I still

132:35

do.

132:35

>> You should come see them.

132:37

>> I got it. I'm not saying that I'm, you

132:38

know, I, as a biologist, I got it. As a,

132:41

you know, developmental biology, I was

132:42

like, I got it. This is not like taking

132:44

some human cells from the cortex and

132:46

putting them into a mouse cortex. Like

132:48

those are cutesy experiments. Frankly, I

132:50

thought those experiments were more like

132:52

cutesy derivative. They didn't really

132:54

inform or anything in my opinion. But

132:56

what you guys did, I thought was really

132:58

cool. And then as I started learning

133:00

more about what you're trying to

133:01

accomplish, like repair ecosystems, make

133:03

better ecosystems, I'm all for progress.

133:06

So, thank you for doing what you do, for

133:08

continuing to do what you do. I didn't

133:10

even get into the fact that you walked

133:12

away from a fully thriving lab in

133:15

academia, Howard News Investigator,

133:16

which is this thing that very few

133:19

attain. and so to do this. So clearly

133:21

you're on a mission and I I have every

133:23

anticipation that it's going to work out

133:24

and work out for the best for animals

133:26

and for people. I'm excited to see what

133:28

you guys do.

133:29

>> Thank you for the opportunity

133:30

[clears throat] to have this

133:31

conversation.

133:31

>> Yeah, it's a lot of fun for me. I rarely

133:34

can I talk about ferrets, woolly

133:35

mammoths, dinosaurs, and uh human gene

133:38

editing all in one conversation. Thanks

133:40

so much.

133:41

>> Thank you.

133:41

>> Appreciate you. Thank you for joining me

133:43

for today's discussion with Dr. Beth

133:45

Shapiro. To learn more about her work,

133:47

please see the links in the show notes

133:48

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Interactive Summary

In this episode, Dr. Beth Shapiro, an evolutionary biologist and Chief Scientific Officer at Colossal Biosciences, discusses the complex field of de-extinction. She explains how genomic tools are used to re-engineer extinct traits into living relatives—such as creating 'direwolves' by editing grey wolf genomes—not just to bring back iconic species, but to restore ecosystem health and develop conservation technologies. Dr. Shapiro also addresses the ethical and scientific nuances of species classification, hybridization, and the broader implications of genetic engineering for both animal conservation and human health, emphasizing the goal of building resilient ecosystems rather than merely creating biological identicals.

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