WEBVTT - Bringing Back Mammoths and Dodos*

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<v Speaker 1>Pushkin. There's a company called Colossal Biosciences that has raised

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<v Speaker 1>over two hundred million dollars and its stated aim is

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<v Speaker 1>to bring back the wooly mammoth and also the dodo bird,

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<v Speaker 1>as well as a considerably less famous but equally extinct

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<v Speaker 1>animal called the thylacine aka the Tasmanian tiger. I have

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<v Speaker 1>questions like, why why are private investors putting hundreds of

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<v Speaker 1>millions of dollars into this company? And really mostly how

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<v Speaker 1>how do you bring back a species that has been

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<v Speaker 1>extinct for centuries. I'm Jacob Goldstein, and this is What's

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<v Speaker 1>problem the show where I talk to people who are

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<v Speaker 1>trying to make technological progress. My guest today is Beth Shapiro.

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<v Speaker 1>She's the chief scientific officer at Colossal Biosciences, a company

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<v Speaker 1>that is in the business of d extinction. BET's problem

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<v Speaker 1>is this, how do you use the tools of modern

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<v Speaker 1>biology to bring back species that have been extinct for

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<v Speaker 1>hundreds or thousands of years. Also, on kind of a

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<v Speaker 1>more subtle level, BET's problem is just defining for the

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<v Speaker 1>world what de extinction really means. Before Beth joined Colossal,

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<v Speaker 1>she spent decades in academia. She helped to pioneer the

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<v Speaker 1>field of paleogenetics, studying the genes of ancient organisms, and

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<v Speaker 1>she spent a lot of time studying the Dodo bird.

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<v Speaker 1>Tell me about your life with the Dodo.

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<v Speaker 2>I guess my first exposure to the Dodo was in

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<v Speaker 2>nineteen ninety nine when I started my PhD at Oxford.

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<v Speaker 2>The ancient DNA lab that we were using with in

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<v Speaker 2>the back of the Oxford University Museum of Natural History,

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<v Speaker 2>and that is so we had to pass by the

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<v Speaker 2>Dodo every time we were going to the lab. And

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<v Speaker 2>I was, you know, in this field ancient DNA where

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<v Speaker 2>we could extract DNA from things, no one was sure

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<v Speaker 2>what exactly a Dodo was, what kind of bird it

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<v Speaker 2>was most closely related to, And so I thought it

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<v Speaker 2>would be really cool if I could use these really

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<v Speaker 2>new tools and technologies to be able to solve this

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<v Speaker 2>question answer what sort of bird a Dodo is? So

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<v Speaker 2>I ask if I could extract DNA from the Dodo.

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<v Speaker 2>If they said no, because it is a very specials special,

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<v Speaker 2>precious specimen and you have not proven that you are

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<v Speaker 2>good at this yet, And so I proved myself. You know,

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<v Speaker 2>I extracted DNA from other birds and other things, and

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<v Speaker 2>I was having pretty good success with this, and they said, okay,

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<v Speaker 2>you can take some grungey bits out of the inside

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<v Speaker 2>of the skull of this dodo with these long forceps.

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<v Speaker 1>They have this one Dodo that's an actual Dodo, and

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<v Speaker 1>you're like, look, I could I could tell you whatever

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<v Speaker 1>the genome of that bird if you just let me

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<v Speaker 1>at it.

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<v Speaker 2>Yep, that's well, maybe not the genome, but I wanted

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<v Speaker 2>to know at the time what type of bird it was.

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<v Speaker 2>And at the time we were the field of ancient

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<v Speaker 2>DNA was focusing on extracting mitochondrial DNA, which is a

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<v Speaker 2>type of DNA that is inherited maternally, so it doesn't

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<v Speaker 2>tell you everything about a species. So there's lots and

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<v Speaker 2>lots of mitochondrial DNA in every cell, and there's only

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<v Speaker 2>two copies of every nuclear locus that's in the cells.

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<v Speaker 2>And so in the early days of ancient DNA, when

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<v Speaker 2>we really weren't very good at recovering DNA, we were

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<v Speaker 2>focusing on mitochondria. So I wanted to get mitochondria from

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<v Speaker 2>this Dodo specimen. So why I could answer this outstanding

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<v Speaker 2>taxonomic question, what type of bird is or was a dodo?

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<v Speaker 1>Uh huh, because people were just trying to guess based

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<v Speaker 1>on the morphology, based on what it looked like.

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<v Speaker 2>Essentially, Yeah, I mean, taxonomy before DNA really was that

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<v Speaker 2>people are comparing the shapes of things. But DNA is

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<v Speaker 2>a really unbiased way of reconstructing evolutionary history and it's

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<v Speaker 2>really powerful, and so I wanted to be able to

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<v Speaker 2>apply that in addition to the morphological data that people

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<v Speaker 2>have been collecting for hundreds of years.

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<v Speaker 1>And so they eventually let you at the bird, and

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<v Speaker 1>what do you figure out?

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<v Speaker 2>They first let me take some long force ups to

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<v Speaker 2>try to scrape some gunk out of the inside of

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<v Speaker 2>its skull, and that led to nothing because there wasn't

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<v Speaker 2>any DNA and the gunked up bits of gunk from

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<v Speaker 2>the inside of the cell. And then they finally let

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<v Speaker 2>me cut a tiny little piece of bone out of

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<v Speaker 2>its leg and I was able to extract mitochondrial DNA

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<v Speaker 2>from that and compare that to all other types of

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<v Speaker 2>birds that were hypothesized to potentially be a dodo, and

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<v Speaker 2>we discovered that the dodo is a type of pigeon.

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<v Speaker 2>It falls within the diversity of pigeons. Most closely related

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<v Speaker 2>to a pigeon called the nicobar pigeon, which is a

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<v Speaker 2>very strong flyer, very beautiful bird, different a lot different

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<v Speaker 2>from a dodo.

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<v Speaker 1>So you figure out that the dodo was a pigeon

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<v Speaker 1>that was relatively early in your career, right, and then

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<v Speaker 1>spend a long time doing scholarly work, doing academic work.

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<v Speaker 1>You eventually sequence the whole Dodo genome, right, and then

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<v Speaker 1>eventually what last year you get to Colossal? What made

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<v Speaker 1>you want to join Colossal?

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<v Speaker 2>Well, I mean you summarized twenty five years of my

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<v Speaker 2>academic history.

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<v Speaker 1>You want to give me a high point along the way.

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<v Speaker 2>Well, you know, I've been working in this field of

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<v Speaker 2>ancient DNA, trying to develop tools to be able to

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<v Speaker 2>get more DNA out of things, to look at the

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<v Speaker 2>nuclear genomes of different species, develop computational approaches to be

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<v Speaker 2>able to use the genetic information that we've extracted to

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<v Speaker 2>tell us when populations are growing and shrinking, To look

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<v Speaker 2>at replacements, to get DNA directly from ancient sediments so

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<v Speaker 2>that we can look at what whole ecosystems look like.

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<v Speaker 2>And all of this really driving toward understanding how we

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<v Speaker 2>can use the past as a sort of completed evolutionary

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<v Speaker 2>experiment to try to make more informed decisions of what

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<v Speaker 2>we can do to protect and preserve species and habitats

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<v Speaker 2>and ecosystems moving forward. I mean, now, when we're deciding

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<v Speaker 2>what we're going to do from a conservation perspective, we

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<v Speaker 2>look around, we see things are in trouble, and we

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<v Speaker 2>use science we make educated guesses about what the best

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<v Speaker 2>things are going to be to restore missing ecological interactions

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<v Speaker 2>to help make these different communities more resilient or more

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<v Speaker 2>robust in the face of these changes. And ancient DNA

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<v Speaker 2>lets us do this by showing us how things responded

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<v Speaker 2>in the past to massive perturbations to their habitat, whether

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<v Speaker 2>that's an ice age or a really warm interglacial, or

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<v Speaker 2>the introduction of people or a predator, a different type

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<v Speaker 2>of predator into that into that ecosystem. And every time

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<v Speaker 2>we would publish this work that we would want to

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<v Speaker 2>tell people about it, we would we would want to

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<v Speaker 2>explain to people what it is that we're excited about,

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<v Speaker 2>But often the only question that people wanted answered was

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<v Speaker 2>what does this mean about how close we are to

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<v Speaker 2>bringing these species back to life?

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<v Speaker 1>Kind of fighting that right, like you write about it

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<v Speaker 1>like there's I was reading the twenty twenty edition of

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<v Speaker 1>your book How to Clone a Mammoth, where you said

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<v Speaker 1>the present focus on bringing back particular species, whether that

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<v Speaker 1>means mammoths, Dodo's passenger pigeons, or anything else, is misguided, right,

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<v Speaker 1>which seems tell me about that? Is there a point

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<v Speaker 1>where you stop thinking it's misguided?

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<v Speaker 2>You know, there's a lot of complications. There a biological, technical,

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<v Speaker 2>and ethical challenges associated with bringing extinct species back to life,

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<v Speaker 2>And so you ask what is misguided? When people hear

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<v Speaker 2>about de extinction or the word de extinction, or think

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<v Speaker 2>about bringing mammoths back to life, what they imagine is

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<v Speaker 2>recreating something that is identical in every way to a

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<v Speaker 2>mammoth that used to be alive. But that isn't possible, right,

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<v Speaker 2>And I think that is where I find the push

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<v Speaker 2>to this to be misguided. As I said at the time,

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<v Speaker 2>it's a little bit more nuanced than just as explained.

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<v Speaker 2>So what is misguided is this idea that de extinction

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<v Speaker 2>is a solution to the extinction crisis. Right, once a

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<v Speaker 2>species is gone, we can't bring it back. That species

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<v Speaker 2>is gone. What we can bring back are some of

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<v Speaker 2>these core phenotypes, whatever it was that was about that

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<v Speaker 2>species that made it unique in their habitat some way

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<v Speaker 2>of replacing that missing ecological interaction. But it's not by

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<v Speaker 2>resurrect something that's identical to the species that used to

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<v Speaker 2>be there, but by taking species that are alive today

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<v Speaker 2>and tweaking them using the tools of genetic engineering, so

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<v Speaker 2>that they can fit into that ecosystem, so they can

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<v Speaker 2>play some of those roles ecological roles that the extinct

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<v Speaker 2>species once had. Does that make sense?

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<v Speaker 1>It does? It seems somewhat at odds with the sort

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<v Speaker 1>of public messaging of Colossal Right, Like I was reading

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<v Speaker 1>your writing on all of what you're saying makes sense

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<v Speaker 1>and we can talk more about it. But it is

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<v Speaker 1>the case that like the homepage of Colossal Right Now says,

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<v Speaker 1>we endeavor to jumpstart nature's ancestral heartbeat to see the

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<v Speaker 1>wooly mammoth thunder upon the tundra once again, right, which

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<v Speaker 1>is not to see the Asian elephant with some phenotypical

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<v Speaker 1>traits of the wooly mammoth. Like, so, I don't know,

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<v Speaker 1>like how do you reconcile those? Is it? Just like

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<v Speaker 1>there's sort of a public story that needs to be simplified,

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<v Speaker 1>just because that's the nature of public stories and then

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<v Speaker 1>a more complex technical story.

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<v Speaker 2>If you dive into the website on Colossal, it does

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<v Speaker 2>explain that the idea of the extinction includes resurrecting extinct

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<v Speaker 2>traits using extinct genomes, but also engineering that we are

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<v Speaker 2>taking Asian elephants and engineering them to have and express

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<v Speaker 2>some of these mammoth trades. On the website, they're even

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<v Speaker 2>called Arctic adapted elephants in several places. So I think

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<v Speaker 2>it depends on what you're willing to accept as a mammoth. Right,

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<v Speaker 2>if you are only ever going to accept something that

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<v Speaker 2>is ecologically, genetically and physiologically one identical to a species

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<v Speaker 2>that used to be alive, then that's not what we're doing,

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<v Speaker 2>because that's not possible. But if you are willing to

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<v Speaker 2>accept an elephant that has longer hair, slightly larger back,

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<v Speaker 2>the longer curved tusks, that is capable of living in

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<v Speaker 2>the habitat that mammoths once lived in and playing the

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<v Speaker 2>roles that mammoths once played, then that is Colossal's goal,

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<v Speaker 2>and that is what we are we are saying that

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<v Speaker 2>we are making.

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<v Speaker 1>Has your view on sort of what scientists should try

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<v Speaker 1>and do, or how they should talk about it, or

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<v Speaker 1>anything along those lines changed over time, like this idea

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<v Speaker 1>of the extinction, which I don't want to get too

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<v Speaker 1>caught up in the semantics, right. I understand that it

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<v Speaker 1>can mean different things different people, and that there's a

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<v Speaker 1>kind of subtle meaning of it, but like, has your

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<v Speaker 1>view in fact changed it all over time?

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<v Speaker 2>My view is that the idea of de extinction is

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<v Speaker 2>exciting because it allows us to write down a long

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<v Speaker 2>list of all of these challenges that we would need

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<v Speaker 2>to be able to solve if we were going to

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<v Speaker 2>do this, and along the way we come up with

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<v Speaker 2>new technologies and new ideas and new associations that have

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<v Speaker 2>application to present day conservation work as well as to

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<v Speaker 2>extinction work. My idea of whether de extinction, if you

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<v Speaker 2>define it as bringing something back that is one hundred

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<v Speaker 2>percent identical to a species that used to be alive,

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<v Speaker 2>is impossible, has not changed, right. I don't like the

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<v Speaker 2>idea that people would say that that is what we're doing,

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<v Speaker 2>because I think then that gives people license to imagine

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<v Speaker 2>that extinction isn't a problem. But extinction is a problem,

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<v Speaker 2>and this is not a solution to that problem. But

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<v Speaker 2>am I willing to say that we shouldn't try this,

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<v Speaker 2>that we shouldn't develop these tools that may have application

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<v Speaker 2>to helping species not become extinct because we're worried that

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<v Speaker 2>somebody is going to get tied up in the semantics

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<v Speaker 2>of something and accuse us of something we're not. No.

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<v Speaker 2>Am I sad that Ben Lamb has been able to

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<v Speaker 2>raise two hundred and twenty five million dollars to be

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<v Speaker 2>able to invest into developing these tools that I hope,

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<v Speaker 2>I imagine are going to dramatically impact the way that

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<v Speaker 2>we do by diversity conservation moving forward. No, I think

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<v Speaker 2>this is amazing. I think it's a fantastic opportunity that

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<v Speaker 2>we should celebrate.

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<v Speaker 1>Great since you mentioned that that Ben Lamb, the CEO

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<v Speaker 1>of the company, has raised two hundred and twenty five

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<v Speaker 1>million dollars, Like, what what is the business model? You know,

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<v Speaker 1>it's a it's a private company, right, it's not a nonprofit.

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<v Speaker 1>So how are the investors going to make a profit?

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<v Speaker 2>You know, this is that's a Ben question. It's not

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<v Speaker 2>a me question. I'm the chief science officer. But you know,

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<v Speaker 2>some of the ways that the company will make money

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<v Speaker 2>is along the path toward the extinction. There are a

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<v Speaker 2>ton of technologies that are going to be developed, things

0:13:16.236 --> 0:13:20.556
<v Speaker 2>like multiplex genomediting, different approaches to driving genetic changes. We're

0:13:20.596 --> 0:13:23.196
<v Speaker 2>working on an artificial womb as one of the tools,

0:13:23.276 --> 0:13:26.876
<v Speaker 2>and all of these will drive patents that will be

0:13:26.956 --> 0:13:30.676
<v Speaker 2>useful for things outside of the extinction landscape. Ben has

0:13:30.756 --> 0:13:34.156
<v Speaker 2>promised that any technology that we develop for conservation can

0:13:34.196 --> 0:13:37.556
<v Speaker 2>be applied to conservation without having to pay for that.

0:13:37.836 --> 0:13:41.116
<v Speaker 2>So he's promised that that tools that we develop will

0:13:41.116 --> 0:13:44.036
<v Speaker 2>go to conservation at no cost. But the path toward

0:13:44.476 --> 0:13:48.396
<v Speaker 2>toward bringing in investment return for investors really is in

0:13:48.516 --> 0:13:51.276
<v Speaker 2>the space of being at the absolute cutting edge of

0:13:51.436 --> 0:13:53.436
<v Speaker 2>genetic engineering and that sort of science.

0:13:53.596 --> 0:13:56.236
<v Speaker 1>Right, And a company was already spun out sort of

0:13:56.316 --> 0:13:58.836
<v Speaker 1>in that way, right, is it form Bio that's spun

0:13:58.876 --> 0:14:01.996
<v Speaker 1>out of a spun out of Colossal and is a

0:14:02.036 --> 0:14:05.756
<v Speaker 1>sort of kind of platform genetics, Like, yes, it's.

0:14:05.596 --> 0:14:09.876
<v Speaker 2>A software company's sort of developing tools that we really

0:14:09.876 --> 0:14:11.476
<v Speaker 2>need to be able to track what we're doing all

0:14:11.476 --> 0:14:13.996
<v Speaker 2>the different experiments that are going on in Colossal that

0:14:14.076 --> 0:14:15.876
<v Speaker 2>have to do with a different species, so that we're

0:14:15.876 --> 0:14:19.196
<v Speaker 2>not repeating experiments, but it's super useful for being able

0:14:19.196 --> 0:14:23.156
<v Speaker 2>to refine experimental designs. And so that is a spinout

0:14:23.156 --> 0:14:27.316
<v Speaker 2>company that's working on developing software platforms for other industries

0:14:27.356 --> 0:14:28.716
<v Speaker 2>including drug development, etc.

0:14:29.676 --> 0:14:32.636
<v Speaker 1>So let's talk about how it works and sort of

0:14:32.676 --> 0:14:34.676
<v Speaker 1>what you've figured out and what you still have to

0:14:34.676 --> 0:14:37.836
<v Speaker 1>figure out. And I know how it works is different

0:14:37.916 --> 0:14:41.676
<v Speaker 1>for different species. So tell me about the plan with

0:14:41.716 --> 0:14:42.196
<v Speaker 1>the mammoth.

0:14:42.916 --> 0:14:47.876
<v Speaker 2>Sure, So, there are lots of different steps toward figuring

0:14:47.916 --> 0:14:51.236
<v Speaker 2>out how to take an Asian elephant and turn it

0:14:51.276 --> 0:14:53.836
<v Speaker 2>into an Arctic adapted elephant that we would let's call

0:14:53.876 --> 0:14:56.196
<v Speaker 2>a mammoth, defending on whether you're willing to say that.

0:14:57.396 --> 0:14:59.836
<v Speaker 2>The first step is to figure out the link between

0:14:59.876 --> 0:15:02.596
<v Speaker 2>the genotype, the a's and c's and g's and t's

0:15:02.636 --> 0:15:06.556
<v Speaker 2>that make up on organism's genome and the phenotype or

0:15:06.596 --> 0:15:10.076
<v Speaker 2>the way that organism looks and acts. For this, we

0:15:10.156 --> 0:15:12.396
<v Speaker 2>collect a lot of information, go out into the field,

0:15:12.796 --> 0:15:16.796
<v Speaker 2>collect a lot of mammoth bones, sequence high quality whole

0:15:16.796 --> 0:15:20.196
<v Speaker 2>coverage genomic data. We have academic collaborators who are helping

0:15:20.196 --> 0:15:22.876
<v Speaker 2>with that, Luvo de Lens Lab and Stockholm is a

0:15:22.916 --> 0:15:25.716
<v Speaker 2>major advisor to this group. We have now more than

0:15:25.756 --> 0:15:30.276
<v Speaker 2>fifty high coverage genome sequences from mammoths, and we can

0:15:30.556 --> 0:15:34.116
<v Speaker 2>compare these to genome sequences from Asian elephants and African

0:15:34.156 --> 0:15:37.756
<v Speaker 2>elephants and other afrotherorians, so they differentiate all mammoths from

0:15:37.836 --> 0:15:40.356
<v Speaker 2>everything else that's there. As a way to start to look,

0:15:41.196 --> 0:15:44.996
<v Speaker 2>we can get information from doing experiments like looking and

0:15:45.036 --> 0:15:48.436
<v Speaker 2>see what genes are being expressed during tusk development, or

0:15:48.436 --> 0:15:51.076
<v Speaker 2>what genes are being expressed in the follicles that produce

0:15:51.156 --> 0:15:54.156
<v Speaker 2>long hair. As another way of narrowing down where our

0:15:54.316 --> 0:15:57.036
<v Speaker 2>fosi should be as far as identifying these genes that

0:15:57.076 --> 0:15:59.596
<v Speaker 2>we want to change. Once we have a panel, we

0:15:59.676 --> 0:16:02.316
<v Speaker 2>then have to engineer those and so for this we

0:16:02.396 --> 0:16:06.156
<v Speaker 2>take cells from elephants that are growing in a dish

0:16:06.156 --> 0:16:08.836
<v Speaker 2>in a lab. A few months ago we released a

0:16:08.876 --> 0:16:11.356
<v Speaker 2>pre print and now we have the paper under revision

0:16:11.396 --> 0:16:14.636
<v Speaker 2>where we were able to derive induced play potent stem

0:16:14.676 --> 0:16:16.956
<v Speaker 2>cells from elephants. This is something people have been trying

0:16:16.996 --> 0:16:19.316
<v Speaker 2>to do for a long time and our mammoth team

0:16:19.396 --> 0:16:22.716
<v Speaker 2>was successful in doing this. This is really cool and

0:16:22.796 --> 0:16:25.396
<v Speaker 2>useful for us because it means that we have cell

0:16:25.396 --> 0:16:28.436
<v Speaker 2>lines that are healthy and happy and survive in a

0:16:28.476 --> 0:16:32.036
<v Speaker 2>dish that we can transform into different tissue types. So

0:16:32.076 --> 0:16:36.196
<v Speaker 2>if we have hypotheses about whether this particular DNA sequence

0:16:36.276 --> 0:16:39.396
<v Speaker 2>change causes changes in hair growth, we can make a

0:16:39.476 --> 0:16:42.316
<v Speaker 2>type of organoid where we can test that hypothesis. So

0:16:42.316 --> 0:16:44.956
<v Speaker 2>we don't have to make an elephant in order to

0:16:44.996 --> 0:16:47.356
<v Speaker 2>test our hypothesis. We do this in culture.

0:16:48.916 --> 0:16:53.916
<v Speaker 1>So, dumb question, in that particular example you gave, would

0:16:53.916 --> 0:16:56.476
<v Speaker 1>there actually be like hair growing out of the dish

0:16:56.476 --> 0:16:56.996
<v Speaker 1>in the lab?

0:16:57.556 --> 0:16:57.756
<v Speaker 2>Yes?

0:16:59.076 --> 0:17:04.116
<v Speaker 1>That's rad okay, So you have that, which is a

0:17:04.196 --> 0:17:07.756
<v Speaker 1>useful sort of platform, right, A useful tool certainly to

0:17:07.796 --> 0:17:12.436
<v Speaker 1>test hypotheses about, well, what genetic changes lead to what

0:17:12.636 --> 0:17:14.836
<v Speaker 1>phenotypical changes right? Go on? Right?

0:17:15.436 --> 0:17:17.596
<v Speaker 2>So then after you do that, you have your your

0:17:17.596 --> 0:17:20.196
<v Speaker 2>cells growing in addition to lad that you've engineered all

0:17:20.236 --> 0:17:23.476
<v Speaker 2>of your edits into. So I've probably skipped over there.

0:17:23.956 --> 0:17:27.516
<v Speaker 2>Lots of very difficult challenging biology. Identify what genes we're

0:17:27.516 --> 0:17:31.916
<v Speaker 2>interested in, figure out how to edit these the genomes

0:17:31.916 --> 0:17:33.756
<v Speaker 2>and cells to get all those changes in them. And

0:17:33.796 --> 0:17:36.036
<v Speaker 2>we have teams of people who are working on multiplex

0:17:36.116 --> 0:17:40.156
<v Speaker 2>genome editing, replacing large chunks of DNA rather than just

0:17:40.276 --> 0:17:43.956
<v Speaker 2>making single edits to the DNA sequence lots of different

0:17:43.956 --> 0:17:47.796
<v Speaker 2>approaches that are developing new tools, new ways of doing

0:17:47.876 --> 0:17:51.196
<v Speaker 2>genome engineering that of course have application outside of the

0:17:51.236 --> 0:17:53.556
<v Speaker 2>field of the extinction or mammoth or any of these

0:17:53.596 --> 0:17:56.676
<v Speaker 2>other cells. Then once you have your edited cell, you

0:17:56.756 --> 0:18:00.476
<v Speaker 2>do cloning, sematic cell nuclear transfer, the same process that

0:18:00.596 --> 0:18:02.996
<v Speaker 2>brought us Dolly the sheep. You have planted that into

0:18:03.036 --> 0:18:06.316
<v Speaker 2>a host, and then eventually your animal is born. So

0:18:06.396 --> 0:18:08.956
<v Speaker 2>all of that is very hard. I have summed cross

0:18:09.156 --> 0:18:12.796
<v Speaker 2>very hard, difficult, challenging things, and in elephants in particular,

0:18:12.876 --> 0:18:15.556
<v Speaker 2>one of the one of the groups that we have

0:18:15.596 --> 0:18:18.956
<v Speaker 2>at Colossal is an EXODEV group or artificial boom group,

0:18:18.956 --> 0:18:21.516
<v Speaker 2>with the idea of eventually being able to do all

0:18:21.596 --> 0:18:24.476
<v Speaker 2>of this without needing a surrogate hoast, without needing to

0:18:24.556 --> 0:18:28.996
<v Speaker 2>use a female elephant to get there. The mammoth project

0:18:28.996 --> 0:18:31.556
<v Speaker 2>obviously has a very long timeline.

0:18:31.396 --> 0:18:34.516
<v Speaker 1>In terms of the sort of macro side. So that

0:18:34.636 --> 0:18:40.076
<v Speaker 1>was a description of the cellular level for the most part. Right, Like,

0:18:41.276 --> 0:18:43.756
<v Speaker 1>you're starting with an Asian elephant, which I understand is

0:18:44.396 --> 0:18:49.116
<v Speaker 1>quite similar genetically to the mammoth, Right, like more than

0:18:49.196 --> 0:18:52.596
<v Speaker 1>ninety nine percent the same genetically, is that? Right?

0:18:52.756 --> 0:18:53.156
<v Speaker 2>That's right?

0:18:53.796 --> 0:18:57.156
<v Speaker 1>How different does an Asian elephant look from a mammoth?

0:18:57.396 --> 0:18:58.756
<v Speaker 2>I don't think I've quantified that.

0:18:58.916 --> 0:19:01.796
<v Speaker 1>What do you think? I don't have any idea. I mean,

0:19:01.836 --> 0:19:04.476
<v Speaker 1>how much bigger is a mammoth at the same size?

0:19:04.556 --> 0:19:07.276
<v Speaker 2>The size is not a is not one of the changes.

0:19:07.316 --> 0:19:09.316
<v Speaker 2>I mean, a mammoth has a slightly different shape, but

0:19:09.356 --> 0:19:15.596
<v Speaker 2>has a different, different tusk shape, and it's obviously harrier.

0:19:16.516 --> 0:19:23.476
<v Speaker 1>And how far along is that project? I suppose one

0:19:23.596 --> 0:19:28.036
<v Speaker 1>kind of milestone is implanting some genetically modified elephant that's

0:19:28.076 --> 0:19:30.876
<v Speaker 1>a little bit more mammoth like into an Asian elephant.

0:19:31.396 --> 0:19:32.716
<v Speaker 1>When do you think that might happen?

0:19:33.716 --> 0:19:36.356
<v Speaker 2>I always tell Ben and also the comms team here

0:19:36.356 --> 0:19:38.996
<v Speaker 2>that I am not going to answer timing questions. I

0:19:38.996 --> 0:19:41.996
<v Speaker 2>would love to be able to predict the timing of

0:19:42.036 --> 0:19:46.076
<v Speaker 2>scientific innovation, but I want my teams to be able

0:19:46.116 --> 0:19:49.876
<v Speaker 2>to do good scientific work and to think hard about

0:19:49.916 --> 0:19:52.436
<v Speaker 2>the experiments that they're doing, rather than to work against

0:19:52.956 --> 0:19:57.436
<v Speaker 2>an externally imposed deadline. Now, George and Ben and Ariona

0:19:57.636 --> 0:20:00.396
<v Speaker 2>have said that they plan to have this happen before

0:20:00.476 --> 0:20:03.356
<v Speaker 2>twenty twenty eight, and I, as far as I know,

0:20:03.516 --> 0:20:06.716
<v Speaker 2>this team is on goal to being able to do this.

0:20:06.796 --> 0:20:11.356
<v Speaker 2>Before the implantation, and that that would be fascinating. Now

0:20:11.436 --> 0:20:15.876
<v Speaker 2>it is not going to be all of the genetic changes, right,

0:20:15.916 --> 0:20:18.476
<v Speaker 2>It's not going to be absolutely everything, but you're writing

0:20:18.556 --> 0:20:20.836
<v Speaker 2>that it is an important first step to try to

0:20:21.076 --> 0:20:24.516
<v Speaker 2>get there. We have a separate team called our Animal

0:20:24.556 --> 0:20:26.596
<v Speaker 2>ops team, who's really it's made of people from the

0:20:26.676 --> 0:20:29.596
<v Speaker 2>veterinarian zoo community who are working with the animals, who

0:20:29.636 --> 0:20:33.316
<v Speaker 2>are working to try to really learn what these animals

0:20:33.356 --> 0:20:37.236
<v Speaker 2>need to be physically and psychologically healthy and captive environments

0:20:37.276 --> 0:20:41.636
<v Speaker 2>to learn about processes like OPU, which means ovum pick up.

0:20:41.676 --> 0:20:44.796
<v Speaker 2>This is how do we get eggs from these animals

0:20:44.836 --> 0:20:46.796
<v Speaker 2>that are going to be the surrogate hosts for somatic

0:20:46.836 --> 0:20:50.436
<v Speaker 2>cell nuclear transfers. We're also working with the community of

0:20:50.436 --> 0:20:52.676
<v Speaker 2>people who are doing the Northern white Rhino Southern White

0:20:52.716 --> 0:20:55.356
<v Speaker 2>Rhino project because you know, what we learn in one

0:20:55.396 --> 0:20:58.036
<v Speaker 2>species we can apply to other species. But there are

0:20:58.036 --> 0:21:01.036
<v Speaker 2>lots of very hard problems to solve there, but they're

0:21:01.036 --> 0:21:04.556
<v Speaker 2>also important problems for the future of those species. So

0:21:04.596 --> 0:21:07.356
<v Speaker 2>remember that anything that we learn as we push toward

0:21:07.636 --> 0:21:10.396
<v Speaker 2>a mammoth is also something that we can apply to

0:21:10.596 --> 0:21:14.476
<v Speaker 2>elephant conservation and to rhino conservation. So this is all

0:21:14.956 --> 0:21:20.436
<v Speaker 2>work that is hard, but I appreciate that we have

0:21:20.476 --> 0:21:23.836
<v Speaker 2>the opportunity and the finances to be able to put

0:21:23.836 --> 0:21:24.676
<v Speaker 2>the energy into it.

0:21:25.156 --> 0:21:31.996
<v Speaker 1>And so, setting aside the understandably sensitive question of specific timelines,

0:21:34.236 --> 0:21:38.036
<v Speaker 1>talk about the sort of happy outcome for the mammoth

0:21:38.036 --> 0:21:41.156
<v Speaker 1>project in whatever timeframe it may happen, If it sort

0:21:41.196 --> 0:21:44.116
<v Speaker 1>of works, what does that look like in the world.

0:21:45.196 --> 0:21:48.356
<v Speaker 2>The long term happy outcome to me is that we

0:21:48.516 --> 0:21:54.236
<v Speaker 2>have structured communities of animals that are able to live

0:21:54.596 --> 0:21:58.516
<v Speaker 2>in an environment that is really similar to the wild

0:21:58.596 --> 0:22:02.316
<v Speaker 2>environment to replace whatever ecological interactions are missing because of

0:22:02.356 --> 0:22:05.156
<v Speaker 2>their extinction. And this happy outcome to me, where we

0:22:05.236 --> 0:22:09.356
<v Speaker 2>have grandparents and parents and offspring that are all living

0:22:09.876 --> 0:22:13.156
<v Speaker 2>in a wild habitat somewhere. This is not a near

0:22:13.276 --> 0:22:17.116
<v Speaker 2>term solution. Elephants have twenty two months gestation. They reach

0:22:17.156 --> 0:22:20.076
<v Speaker 2>sexual maturity when they're teenagers. So this is something that

0:22:20.156 --> 0:22:22.436
<v Speaker 2>I can tell you isn't going to be by twenty

0:22:22.476 --> 0:22:25.876
<v Speaker 2>twenty eight or twenty thirty, right. This happy outcome of

0:22:26.636 --> 0:22:29.796
<v Speaker 2>an entire population or community of animals living in the

0:22:29.836 --> 0:22:31.076
<v Speaker 2>wild is.

0:22:31.076 --> 0:22:34.076
<v Speaker 1>That is a sort of kind of human lifetime's time

0:22:34.156 --> 0:22:37.876
<v Speaker 1>scale this's a one hundred years story, absolutely, And what

0:22:38.036 --> 0:22:41.596
<v Speaker 1>I mean would that be Siberia? Is it basically the tundra.

0:22:41.716 --> 0:22:44.996
<v Speaker 2>It wouldn't necessarily have to be Siberia, wouldn't necessarily have

0:22:45.076 --> 0:22:49.036
<v Speaker 2>to be Alaska or the Yukon. Remember, mammoths lived everywhere

0:22:49.076 --> 0:22:52.876
<v Speaker 2>from temperate to subtropical zones. They live throughout warm intervals

0:22:52.876 --> 0:22:56.996
<v Speaker 2>and they live throughout cold intervals. But where these ecosystems

0:22:57.076 --> 0:22:59.996
<v Speaker 2>have been most changed by their absence is the Arctic

0:23:00.156 --> 0:23:03.676
<v Speaker 2>and places where the plant community has changed a lot.

0:23:03.796 --> 0:23:06.756
<v Speaker 2>There are lots of missing animal species. We know elephants

0:23:06.756 --> 0:23:09.916
<v Speaker 2>are engineers of their ecosystems. There's no and to suspect

0:23:10.156 --> 0:23:14.276
<v Speaker 2>mammoths wouldn't have similarly been engineers of their ecosystem in

0:23:14.356 --> 0:23:14.756
<v Speaker 2>the past.

0:23:16.956 --> 0:23:20.076
<v Speaker 1>In a minute, why bringing back the dodo maybe even

0:23:20.156 --> 0:23:33.556
<v Speaker 1>harder than bringing back the mammoth. Tell me about the dodo.

0:23:33.676 --> 0:23:35.476
<v Speaker 1>Give me like a dodo one on one.

0:23:35.556 --> 0:23:39.116
<v Speaker 2>Well, based on sort of written records from the first

0:23:39.116 --> 0:23:42.556
<v Speaker 2>people who saw them, So dodos lived on this island.

0:23:42.636 --> 0:23:45.276
<v Speaker 2>They were a flightless bird, so about the sides of

0:23:45.316 --> 0:23:48.956
<v Speaker 2>a really big chicken, and they probably ate fruit. They

0:23:48.996 --> 0:23:50.996
<v Speaker 2>had a big beak that was probably able to crush

0:23:51.076 --> 0:23:54.196
<v Speaker 2>fruits and seeds and things like that. We don't know

0:23:54.396 --> 0:23:57.636
<v Speaker 2>much about their color. The people who drew them, they're

0:23:57.796 --> 0:24:00.276
<v Speaker 2>very Some of them looked like they couldn't have actually

0:24:00.276 --> 0:24:02.516
<v Speaker 2>stood up according to the to the way that they've

0:24:02.516 --> 0:24:04.836
<v Speaker 2>been drawn. It's funny because most people who drew a

0:24:04.876 --> 0:24:08.476
<v Speaker 2>dodo never saw one, because dodos went extinct within a

0:24:08.476 --> 0:24:11.676
<v Speaker 2>couple of decads after the first person set foot on

0:24:11.796 --> 0:24:15.316
<v Speaker 2>Borucius Island. And it wasn't because people ate them. There

0:24:15.316 --> 0:24:17.716
<v Speaker 2>are some written records that suggests that they didn't taste

0:24:17.796 --> 0:24:20.916
<v Speaker 2>very good, but because when people arrived in Mauritius, they

0:24:20.916 --> 0:24:24.756
<v Speaker 2>brought things like cats and pigs and rats, and dodos

0:24:24.836 --> 0:24:26.916
<v Speaker 2>laid a single egg and a nest on the ground

0:24:26.956 --> 0:24:30.196
<v Speaker 2>because they couldn't fly, and the things that we brought

0:24:30.196 --> 0:24:32.556
<v Speaker 2>with us, that people brought with us just ate all

0:24:32.556 --> 0:24:35.636
<v Speaker 2>the eggs. And if you can't, you can't have offspring,

0:24:35.716 --> 0:24:36.836
<v Speaker 2>then you're not going to survive.

0:24:37.196 --> 0:24:39.396
<v Speaker 1>Yeah, a single egg and a nest on the ground

0:24:39.476 --> 0:24:42.676
<v Speaker 1>is like a perfect I mean, it's not a metaphor

0:24:42.716 --> 0:24:46.436
<v Speaker 1>because it's real. It's just so wildly vulnerable, right, it's

0:24:46.556 --> 0:24:50.836
<v Speaker 1>just so vulnerable. So okay, so you're trying to bring

0:24:50.956 --> 0:24:53.596
<v Speaker 1>back the Dodo or something like the Dodo, and I

0:24:53.636 --> 0:24:57.156
<v Speaker 1>understand that one particular challenge there is you actually can't

0:24:57.276 --> 0:25:01.156
<v Speaker 1>use the same cloning technology that people have been using

0:25:01.156 --> 0:25:04.396
<v Speaker 1>for decades for mammals. Right, tell me about that.

0:25:04.836 --> 0:25:07.676
<v Speaker 2>It's not possible to clone birds the same way that

0:25:07.716 --> 0:25:11.356
<v Speaker 2>we clone mammals because of the intricacies of their reproductive system.

0:25:11.436 --> 0:25:15.196
<v Speaker 2>So the way that Colossal is working on this problem

0:25:15.236 --> 0:25:17.676
<v Speaker 2>with birds and is similar to way that other teams

0:25:17.716 --> 0:25:20.956
<v Speaker 2>have been doing this. There's a person called Mike McGrew

0:25:21.076 --> 0:25:23.556
<v Speaker 2>who's in Edinburgh, the Roslin Institute, who's developed a lot

0:25:23.556 --> 0:25:26.236
<v Speaker 2>of this technology for chickens, but that's the only bird

0:25:26.276 --> 0:25:29.196
<v Speaker 2>species so far for with this technology exists, and we're

0:25:29.236 --> 0:25:32.116
<v Speaker 2>working on that now for pigeons for the Dodo project.

0:25:32.356 --> 0:25:36.156
<v Speaker 2>So the idea is when the egg is laid, the

0:25:36.676 --> 0:25:39.836
<v Speaker 2>cells that are called primordial germ cells. These are the

0:25:39.876 --> 0:25:43.636
<v Speaker 2>cells that will eventually become germ cells, either sperm or eggs,

0:25:43.636 --> 0:25:46.676
<v Speaker 2>depending on the biological sex of the animal. They are

0:25:46.756 --> 0:25:50.756
<v Speaker 2>circulating throughout the bloodstream of the developing embryo. They're on

0:25:50.796 --> 0:25:53.036
<v Speaker 2>their way to the gonads, which don't exist yet because

0:25:53.036 --> 0:25:55.676
<v Speaker 2>it's not that stage of development yet, and at that

0:25:55.716 --> 0:25:59.076
<v Speaker 2>point you can stick a needle into the egg very carefully.

0:25:59.076 --> 0:26:01.396
<v Speaker 2>I've actually seen our DODO lead do this a few times.

0:26:01.396 --> 0:26:03.516
<v Speaker 2>It's pretty impressive how you do this. And you can

0:26:03.636 --> 0:26:06.556
<v Speaker 2>suck out a little bit of that circulating blood without

0:26:06.556 --> 0:26:08.836
<v Speaker 2>harming the embryo, and you can put that in a

0:26:08.836 --> 0:26:12.116
<v Speaker 2>dish in a lab and if you understand what the

0:26:12.196 --> 0:26:14.836
<v Speaker 2>right culture conditions are for those cells, you can keep

0:26:14.876 --> 0:26:17.556
<v Speaker 2>those cells alive. Then they'll start to grow and make

0:26:17.676 --> 0:26:21.036
<v Speaker 2>lots more of themselves, and then you can edit those cells.

0:26:21.836 --> 0:26:24.356
<v Speaker 2>And then because those are edited, you can inject them

0:26:24.836 --> 0:26:28.236
<v Speaker 2>into an embryo at that same developmental stage and they

0:26:28.276 --> 0:26:31.516
<v Speaker 2>will circulate around the bloodstream established in the gonads, and

0:26:31.596 --> 0:26:34.996
<v Speaker 2>that chick will be chimeric. Right. It will not be

0:26:35.116 --> 0:26:39.156
<v Speaker 2>edited itself, but it's sperm or it's eggs will be edited.

0:26:39.516 --> 0:26:41.476
<v Speaker 2>And then you can, if it's a female, you will

0:26:41.476 --> 0:26:44.436
<v Speaker 2>fertilize it with edited sperm and then when it lays eggs,

0:26:44.956 --> 0:26:48.476
<v Speaker 2>those eggs will hatched into the edited offspring.

0:26:49.196 --> 0:26:54.796
<v Speaker 1>And so I mean is that I don't know if

0:26:54.796 --> 0:26:56.676
<v Speaker 1>it's a dumb question to ask, Is that the hardest

0:26:56.716 --> 0:26:59.636
<v Speaker 1>part of the DODO like project that whole idea, or

0:26:59.676 --> 0:27:00.436
<v Speaker 1>there's so many.

0:27:00.276 --> 0:27:03.236
<v Speaker 2>Hard parts, oh the hardest part. Yeah, though, there are

0:27:03.236 --> 0:27:05.636
<v Speaker 2>a lot of hard parts. But you know, this is

0:27:05.796 --> 0:27:08.676
<v Speaker 2>a situation where we currently don't have any way of

0:27:08.756 --> 0:27:12.116
<v Speaker 2>driving gene edits into bird species. The birds are among

0:27:12.116 --> 0:27:15.556
<v Speaker 2>the most endangered species on the planet, especially on islands,

0:27:15.596 --> 0:27:18.156
<v Speaker 2>and if we can develop these technologies of being able

0:27:18.196 --> 0:27:21.396
<v Speaker 2>to keep these germ cells alive and different species in

0:27:21.436 --> 0:27:23.916
<v Speaker 2>addition driving these edits into them, and show that we

0:27:23.956 --> 0:27:25.876
<v Speaker 2>can do this, then this is a tool that we

0:27:25.916 --> 0:27:30.396
<v Speaker 2>could use, for example, to help make Kawaiian honeycreepers resistant

0:27:30.396 --> 0:27:34.116
<v Speaker 2>to avian malaria, or drive resistance to diseases of other

0:27:34.236 --> 0:27:37.836
<v Speaker 2>bird species that are impacted by changes to their habitat,

0:27:37.876 --> 0:27:39.996
<v Speaker 2>a lot of which have been caused by changes in

0:27:39.996 --> 0:27:43.956
<v Speaker 2>the way that people have used the landscape.

0:27:44.556 --> 0:27:50.956
<v Speaker 1>And then talk about the long happy story for the dono, like,

0:27:51.236 --> 0:27:52.396
<v Speaker 1>how does that story go?

0:27:53.396 --> 0:27:56.756
<v Speaker 2>We have collaborations with the Russian government and Russian Wildlife Foundation.

0:27:56.876 --> 0:28:00.796
<v Speaker 2>This is an island country that is very proud and

0:28:00.996 --> 0:28:04.996
<v Speaker 2>very excited about doing conservation work and have an incredible

0:28:05.316 --> 0:28:07.556
<v Speaker 2>track record of success there as well. They have several

0:28:07.596 --> 0:28:10.076
<v Speaker 2>islands that are off of them mainland that they've been

0:28:10.116 --> 0:28:15.916
<v Speaker 2>doing removal of invasive species and replacements sometimes with proxy species.

0:28:15.956 --> 0:28:18.236
<v Speaker 2>For example, one of the species that went extinct at

0:28:18.276 --> 0:28:20.796
<v Speaker 2>the same time as the dodo is a giant tortoise,

0:28:21.316 --> 0:28:25.916
<v Speaker 2>and they have replaced on some of these islands. There's

0:28:26.076 --> 0:28:29.436
<v Speaker 2>an island called Round Island, another called eulok Agret where

0:28:29.436 --> 0:28:32.636
<v Speaker 2>they've put giant tortoises from Seychelles, And what they've seen

0:28:32.756 --> 0:28:35.876
<v Speaker 2>is that having these giant tortoises on the landscape have

0:28:36.196 --> 0:28:39.676
<v Speaker 2>been able to help out with their invasive species removal

0:28:39.716 --> 0:28:42.716
<v Speaker 2>programs and really change the shape and face of that

0:28:43.036 --> 0:28:45.996
<v Speaker 2>floral and faunal community. So it turns out that ebony

0:28:46.036 --> 0:28:49.476
<v Speaker 2>trees germinate better after they've passed through the digestive system

0:28:49.516 --> 0:28:52.516
<v Speaker 2>of a giant tortoise and many of the other endemic

0:28:52.556 --> 0:28:56.116
<v Speaker 2>plant species because they evolved alongside tortoises. They have anti

0:28:56.236 --> 0:29:00.476
<v Speaker 2>tortoise or bivory like really sharp little baby leaves for example,

0:29:00.476 --> 0:29:03.876
<v Speaker 2>that tortoises can't eat. So the tortoises are consuming all

0:29:03.916 --> 0:29:06.516
<v Speaker 2>of the non native species, the species that have been

0:29:06.516 --> 0:29:09.956
<v Speaker 2>introduced and leaving behind the endemics species that are now

0:29:09.996 --> 0:29:12.796
<v Speaker 2>coming back because of the replacement of this animal on

0:29:12.836 --> 0:29:16.076
<v Speaker 2>the landscape, and they hope that by replacing this other

0:29:16.236 --> 0:29:21.036
<v Speaker 2>key member of that extinct foneal community, a forgivorous bird

0:29:21.156 --> 0:29:24.196
<v Speaker 2>that had a very strange shaped face that's able to

0:29:24.436 --> 0:29:27.996
<v Speaker 2>move around and consume fruits and do similar things, I mean,

0:29:28.076 --> 0:29:31.276
<v Speaker 2>maybe not even things that we've imagined yet, that this

0:29:31.356 --> 0:29:35.476
<v Speaker 2>will will really help them to help them in their

0:29:35.516 --> 0:29:38.676
<v Speaker 2>restoration projects. One thing that's clear though, is that even

0:29:38.676 --> 0:29:41.276
<v Speaker 2>the idea that there might be a Dodo at some

0:29:41.356 --> 0:29:45.156
<v Speaker 2>point has caused a reinvigoration of the excitement of other

0:29:45.196 --> 0:29:48.836
<v Speaker 2>people for their conservation programs, and they've seen renewed investments

0:29:48.836 --> 0:29:51.916
<v Speaker 2>in creating habitats that dodos might someday be in. They

0:29:51.956 --> 0:29:54.436
<v Speaker 2>are really excited about working with us on setting up

0:29:54.436 --> 0:29:56.876
<v Speaker 2>places where we can have aviaries for some of these

0:29:56.876 --> 0:29:59.116
<v Speaker 2>early birds, because obviously we would love to have them

0:29:59.156 --> 0:30:02.036
<v Speaker 2>back there. They're Marsian animals, so they should they should

0:30:02.076 --> 0:30:05.876
<v Speaker 2>be there, And so yeah, this is it's been a

0:30:06.156 --> 0:30:09.116
<v Speaker 2>it's been I've got to go to Murcius in June

0:30:09.356 --> 0:30:12.316
<v Speaker 2>this year and interact with see some of these sites

0:30:12.316 --> 0:30:14.836
<v Speaker 2>and interact with some government officials, and the excitement for

0:30:14.876 --> 0:30:18.636
<v Speaker 2>having a Dodo and Mauritius is really palpable. It's it's

0:30:18.676 --> 0:30:19.676
<v Speaker 2>exciting to be part of.

0:30:19.996 --> 0:30:22.476
<v Speaker 1>What you're trying to do is wildly hard. It's like

0:30:22.836 --> 0:30:25.676
<v Speaker 1>kind of amazing, as you alluded that somebody was able

0:30:25.676 --> 0:30:28.836
<v Speaker 1>to raise two hundred million dollars for this very hard,

0:30:29.396 --> 0:30:34.876
<v Speaker 1>not obviously commercial project. And so I don't know, you're

0:30:34.876 --> 0:30:37.116
<v Speaker 1>in a really interesting spot, right, Like you've been studying

0:30:37.116 --> 0:30:40.436
<v Speaker 1>this at an academic setting for twenty ish years. Now

0:30:40.476 --> 0:30:43.876
<v Speaker 1>you're at this company that's that strangely amazingly has raised

0:30:43.956 --> 0:30:46.236
<v Speaker 1>hundreds of millions of dollars to do this hard thing.

0:30:46.556 --> 0:30:48.436
<v Speaker 1>Like where are you right now?

0:30:49.636 --> 0:30:53.196
<v Speaker 2>What I like about this project is that, as we've said,

0:30:53.236 --> 0:30:56.436
<v Speaker 2>as you've said here, everything that we're doing is really hard.

0:30:56.556 --> 0:30:56.756
<v Speaker 1>Right.

0:30:57.116 --> 0:31:00.076
<v Speaker 2>But as we look around the planet today, what we

0:31:00.116 --> 0:31:04.436
<v Speaker 2>see are ecosystems, species, and populations and communities that are

0:31:04.436 --> 0:31:09.476
<v Speaker 2>in trouble, And what we have is decision anxiety. What

0:31:09.596 --> 0:31:11.956
<v Speaker 2>do we do? How can we help? Where do we

0:31:11.996 --> 0:31:17.116
<v Speaker 2>even start? Right? But this project, what it forces us

0:31:17.156 --> 0:31:20.076
<v Speaker 2>to do is write down all of the steps that

0:31:20.116 --> 0:31:22.876
<v Speaker 2>we need to do to answer this really hard problem,

0:31:22.956 --> 0:31:25.436
<v Speaker 2>to get to the end of this really hard solution.

0:31:25.876 --> 0:31:28.676
<v Speaker 2>And that now that we've had them written down, means

0:31:28.676 --> 0:31:31.436
<v Speaker 2>that we can just go and start knocking them down. Right,

0:31:31.556 --> 0:31:34.196
<v Speaker 2>here's problem we have to solve. Here's a problem that

0:31:34.236 --> 0:31:36.436
<v Speaker 2>has to do with rewilding and restoration that we have

0:31:36.516 --> 0:31:38.436
<v Speaker 2>to solve. In order to solve that, there are all

0:31:38.516 --> 0:31:40.836
<v Speaker 2>of these other problems that have to do with invasive

0:31:40.876 --> 0:31:42.636
<v Speaker 2>species on the landscape that are going to eat the

0:31:42.636 --> 0:31:44.916
<v Speaker 2>dodo's eggs on the ground. How do we solve those?

0:31:44.996 --> 0:31:47.156
<v Speaker 2>Who do we partner with to solve those? It's not

0:31:47.236 --> 0:31:51.516
<v Speaker 2>all Colossal's job, right, but we do want to enable

0:31:51.556 --> 0:31:54.396
<v Speaker 2>it because we want to create an environment where we

0:31:54.436 --> 0:31:57.156
<v Speaker 2>can be successful and our partners can be successful. And

0:31:57.196 --> 0:32:01.116
<v Speaker 2>our partners are nonprofit conservation groups and governments and local

0:32:01.116 --> 0:32:04.196
<v Speaker 2>communities who want these things to happen. But by saying

0:32:04.596 --> 0:32:08.316
<v Speaker 2>we're going to do it, we've enforced you got to

0:32:08.316 --> 0:32:10.436
<v Speaker 2>write down the problem, We got to figure out how

0:32:10.476 --> 0:32:10.996
<v Speaker 2>to solve them.

0:32:11.236 --> 0:32:11.916
<v Speaker 1>And I love that.

0:32:12.276 --> 0:32:15.716
<v Speaker 2>I think that this motivation to get there is going

0:32:15.756 --> 0:32:18.236
<v Speaker 2>to solve is going to help so much as we

0:32:18.316 --> 0:32:20.036
<v Speaker 2>try to figure out what we can do as a

0:32:20.076 --> 0:32:24.436
<v Speaker 2>global community to try to stem the biodiversity loss crisis

0:32:24.436 --> 0:32:25.516
<v Speaker 2>that we're facing today.

0:32:28.836 --> 0:32:30.956
<v Speaker 1>We'll be back in a minute with the lightning round.

0:32:42.996 --> 0:32:46.716
<v Speaker 1>I have read that you have a tattoo of a dodo.

0:32:46.996 --> 0:32:48.076
<v Speaker 1>First of all, is that correct?

0:32:48.316 --> 0:32:49.156
<v Speaker 2>It is yes.

0:32:49.796 --> 0:32:51.716
<v Speaker 1>If you are going to get a tattoo of another

0:32:52.716 --> 0:32:54.636
<v Speaker 1>animal extinct or not, what would it be.

0:32:55.836 --> 0:33:01.316
<v Speaker 2>I promised our thylacine lead Sarah that when she delivered

0:33:01.316 --> 0:33:03.796
<v Speaker 2>a thylacine I would get a thilocine tattoo. I haven't

0:33:03.836 --> 0:33:06.556
<v Speaker 2>decided what it will look like or where it will be,

0:33:06.636 --> 0:33:07.836
<v Speaker 2>but that's that's.

0:33:07.636 --> 0:33:09.596
<v Speaker 1>Probably what's the thylacine look like?

0:33:10.156 --> 0:33:13.476
<v Speaker 2>Well look it up. It looks like it looks like

0:33:13.516 --> 0:33:16.356
<v Speaker 2>a weird stripey large marsupial wolf.

0:33:17.516 --> 0:33:22.476
<v Speaker 1>I've heard it called the Plasmanian tiger. I know us Okay,

0:33:23.116 --> 0:33:25.556
<v Speaker 1>that seems like a cool animal to get a to

0:33:25.596 --> 0:33:36.556
<v Speaker 1>get a tattoo of. What's the most dangerous or sketchy

0:33:36.596 --> 0:33:38.956
<v Speaker 1>thing you did to get a piece of ancient DNA?

0:33:41.556 --> 0:33:45.716
<v Speaker 2>The most dangerous or sketchy thing I did? You know?

0:33:45.836 --> 0:33:48.436
<v Speaker 2>I try not to do any dangerous or sketchy things.

0:33:48.476 --> 0:33:52.476
<v Speaker 2>Let's see, I have written on Russian helicopters. That's pretty

0:33:52.636 --> 0:33:55.436
<v Speaker 2>dangerous and sketchy to try to get out into the field.

0:33:55.476 --> 0:33:57.756
<v Speaker 2>We did once time one time get left in the

0:33:57.796 --> 0:34:00.476
<v Speaker 2>field for an extra couple of weeks because these same

0:34:00.516 --> 0:34:03.836
<v Speaker 2>helicopters got a better deal taking some wealthy people fishing

0:34:03.916 --> 0:34:06.156
<v Speaker 2>for a little while rather than pick up some scientists

0:34:06.156 --> 0:34:07.316
<v Speaker 2>that they were supposed to pick up.

0:34:08.396 --> 0:34:11.276
<v Speaker 1>Were you out getting mammoth DNA? What were you doing.

0:34:11.276 --> 0:34:15.596
<v Speaker 2>We're collecting just fossils from Arctic species. I've worked a

0:34:15.596 --> 0:34:19.836
<v Speaker 2>lot on muskogs and bison and horses and species like that.

0:34:19.876 --> 0:34:21.996
<v Speaker 2>So we were out just in the field collecting bones

0:34:22.036 --> 0:34:23.556
<v Speaker 2>for future work. Yep.

0:34:25.116 --> 0:34:28.196
<v Speaker 1>Yeah, we haven't talked all about dinosaurs. Are you tired

0:34:28.236 --> 0:34:30.796
<v Speaker 1>of people asking you about dinosaurs? No?

0:34:30.916 --> 0:34:33.756
<v Speaker 2>I mean it's something that people are excited about. There's

0:34:33.796 --> 0:34:36.876
<v Speaker 2>no DNA in dinosaurs, right, So the oldest DNA that's

0:34:36.916 --> 0:34:41.196
<v Speaker 2>been recovered could be escas escaviller Slav's ancient plant DNA,

0:34:41.196 --> 0:34:42.916
<v Speaker 2>which is from sediment that might be about two and

0:34:42.956 --> 0:34:45.396
<v Speaker 2>a half million years old. The oldest DNA from bones

0:34:45.596 --> 0:34:49.636
<v Speaker 2>are mammoth bones that were frozen in permafrost for more

0:34:49.676 --> 0:34:52.156
<v Speaker 2>than a million years, maybe as long as two million years.

0:34:52.556 --> 0:34:54.956
<v Speaker 2>But dinosaurs have been extinct for more than sixty five

0:34:55.036 --> 0:34:58.796
<v Speaker 2>million years. There is no dinosaur bone out there that

0:34:58.916 --> 0:35:02.596
<v Speaker 2>still is organic. They're all fossils that organic material has

0:35:02.596 --> 0:35:05.156
<v Speaker 2>been replaced. So we're not going to get dinosaur DNA.

0:35:05.196 --> 0:35:07.716
<v Speaker 1>And there's not even like a theoretical way. It's sort

0:35:07.716 --> 0:35:10.476
<v Speaker 1>of like a laws of physics of problem, like fundamental

0:35:10.516 --> 0:35:12.836
<v Speaker 1>laws of biology say, we're just not going to get it.

0:35:12.876 --> 0:35:15.436
<v Speaker 2>We're not going to get dinosaur DNA. Yeah, I've tried

0:35:15.516 --> 0:35:18.036
<v Speaker 2>even the amber thing like smashing stuff up and getting

0:35:18.036 --> 0:35:21.556
<v Speaker 2>because I answer that, yeah, of course. You know why.

0:35:21.876 --> 0:35:25.236
<v Speaker 2>You can only be asked that question at least four

0:35:25.356 --> 0:35:27.636
<v Speaker 2>hundred or five hundred times before you're like, well, you know,

0:35:27.836 --> 0:35:28.196
<v Speaker 2>I'm just.

0:35:28.116 --> 0:35:31.436
<v Speaker 1>Gonna just try it. Time some asshole asked me, I

0:35:31.436 --> 0:35:36.316
<v Speaker 1>could say I did it. It didn't work. What's the

0:35:36.396 --> 0:35:38.836
<v Speaker 1>oldest DNA that you have ever retrieved?

0:35:39.316 --> 0:35:42.436
<v Speaker 2>Me, personally working in a lab touching samples, the oldest

0:35:42.516 --> 0:35:45.276
<v Speaker 2>DNA that I've recovered is from a horse that's probably

0:35:45.316 --> 0:35:48.516
<v Speaker 2>around eight hundred thousand years old, somewhere between seven hundred

0:35:48.516 --> 0:35:51.756
<v Speaker 2>and eight hundred thousand years old, horse like animal. In fact,

0:35:52.356 --> 0:35:55.396
<v Speaker 2>we thought it was a horse, but it turns out

0:35:55.476 --> 0:35:58.676
<v Speaker 2>that it is a type of extinct donkey. Well not

0:35:58.716 --> 0:36:01.996
<v Speaker 2>even really, that it's slightly more closely related to donkeys

0:36:01.996 --> 0:36:03.956
<v Speaker 2>than it is to horses. It's in that lineage, but

0:36:03.996 --> 0:36:07.076
<v Speaker 2>it's a species that really hasn't been known to paleontology,

0:36:07.116 --> 0:36:08.836
<v Speaker 2>but now we have a whole genome from it.

0:36:08.756 --> 0:36:12.956
<v Speaker 1>So that's fun. Was one surprising thing about the Dodo.

0:36:13.876 --> 0:36:21.036
<v Speaker 2>Surprising thing about the Dodo, I guess I was mostly

0:36:21.076 --> 0:36:24.076
<v Speaker 2>surprised very early in the beginning of my experience with

0:36:24.076 --> 0:36:25.276
<v Speaker 2>the Dodo that it's a pigeon.

0:36:27.076 --> 0:36:29.196
<v Speaker 1>Well, that's a sign of a good paper, right the

0:36:29.236 --> 0:36:33.596
<v Speaker 1>side of a good finding. What's the worst thing about

0:36:33.836 --> 0:36:36.596
<v Speaker 1>winning a MacArthur Genius Grant That.

0:36:36.596 --> 0:36:38.436
<v Speaker 2>People ask you what you're going to do with the money,

0:36:38.556 --> 0:36:42.636
<v Speaker 2>Like everybody expected you're going to have something really profound

0:36:42.956 --> 0:36:46.356
<v Speaker 2>to do with the money that they give you over

0:36:46.396 --> 0:36:47.676
<v Speaker 2>the course in the next few years.

0:36:47.676 --> 0:36:50.236
<v Speaker 1>The real answer, just stop writing grants all the time

0:36:50.276 --> 0:36:51.236
<v Speaker 1>for the next three years.

0:36:51.756 --> 0:36:53.236
<v Speaker 2>No, do you know what I did with it? I

0:36:54.196 --> 0:36:55.396
<v Speaker 2>used it for childcare.

0:36:55.636 --> 0:36:55.836
<v Speaker 1>You know.

0:36:56.076 --> 0:36:59.436
<v Speaker 2>It actually made it possible for me to be a

0:36:59.676 --> 0:37:04.036
<v Speaker 2>very young mom trying to run a lab and get

0:37:04.036 --> 0:37:05.956
<v Speaker 2>myself off the ground, you know, if I was able

0:37:05.996 --> 0:37:08.076
<v Speaker 2>to use it to help my kids.

0:37:08.236 --> 0:37:11.716
<v Speaker 1>So that's actually a really interesting answer, Like it's a

0:37:11.796 --> 0:37:16.956
<v Speaker 1>really that's a really interesting answer. I know you might

0:37:16.996 --> 0:37:19.116
<v Speaker 1>not be the right person asked this question, but you're

0:37:19.156 --> 0:37:21.956
<v Speaker 1>the one I'm talking to, so you know, it was

0:37:22.036 --> 0:37:24.676
<v Speaker 1>interesting to me looking at that at the last round

0:37:24.676 --> 0:37:27.436
<v Speaker 1>of funding that Colossal got that it came part of

0:37:27.436 --> 0:37:29.036
<v Speaker 1>it came from you know what I'm gonna say, part

0:37:29.076 --> 0:37:32.036
<v Speaker 1>of it came from in q TEL, the venture capital

0:37:32.076 --> 0:37:35.996
<v Speaker 1>fund set up by the CIA. What does I know

0:37:36.076 --> 0:37:38.716
<v Speaker 1>it's not actually the CIA, But what does this CIA

0:37:38.876 --> 0:37:40.116
<v Speaker 1>VC fund want with you?

0:37:41.556 --> 0:37:43.316
<v Speaker 2>I don't think this is things I can talk about.

0:37:43.396 --> 0:37:45.476
<v Speaker 2>And actually I think you know, inq TELL are just

0:37:45.556 --> 0:37:48.396
<v Speaker 2>really interested in knowing what's happening, and they like to

0:37:48.436 --> 0:37:50.836
<v Speaker 2>be involved in things that are really at the cutting

0:37:50.916 --> 0:37:53.276
<v Speaker 2>edge of any sort of new discipline, and I think

0:37:53.276 --> 0:37:55.756
<v Speaker 2>their interest is just, you know, we want to know

0:37:55.796 --> 0:37:56.276
<v Speaker 2>what you're doing.

0:37:57.756 --> 0:37:59.916
<v Speaker 1>Fair Enough, I'm going to mix metaphors on this one.

0:38:00.116 --> 0:38:04.116
<v Speaker 1>Do you have a white whale? Like, is there some

0:38:04.156 --> 0:38:08.916
<v Speaker 1>particular species or even just technique or something? Is there

0:38:08.956 --> 0:38:11.196
<v Speaker 1>so thing you've been trying to figure out how to

0:38:11.236 --> 0:38:13.316
<v Speaker 1>do that you haven't figured out yet that you really

0:38:13.356 --> 0:38:14.356
<v Speaker 1>want to figure out.

0:38:16.676 --> 0:38:22.636
<v Speaker 2>Figure out how to make a mammoth? Now, well, I mean.

0:38:22.516 --> 0:38:24.556
<v Speaker 1>All of this. Can I end on that? Could I

0:38:24.676 --> 0:38:26.196
<v Speaker 1>end on that? Please?

0:38:28.996 --> 0:38:31.636
<v Speaker 2>We're gonna do it. We're I think we're on the path,

0:38:31.716 --> 0:38:34.036
<v Speaker 2>but it's there are definitely a lot of things to

0:38:34.076 --> 0:38:37.516
<v Speaker 2>solve still, So yeah, it's a white whale. Isn't a

0:38:37.556 --> 0:38:39.596
<v Speaker 2>white whale something that you think you're not going to solve?

0:38:39.676 --> 0:38:40.196
<v Speaker 2>I don't, I don't.

0:38:40.236 --> 0:38:42.436
<v Speaker 1>I don't really know the I mean it's from Moby

0:38:42.516 --> 0:38:45.596
<v Speaker 1>Dick and Ahab is like his whole thing is he's

0:38:45.596 --> 0:38:47.916
<v Speaker 1>got to get the white whale. I mean, it ends

0:38:48.036 --> 0:38:50.156
<v Speaker 1>up killing him, but we don't have to think about

0:38:50.156 --> 0:38:52.036
<v Speaker 1>that part. It's the thing that he has driven to

0:38:52.076 --> 0:38:53.596
<v Speaker 1>get but that he has not yet gotten.

0:38:53.836 --> 0:38:56.156
<v Speaker 2>I guess that's the right answer, you know, let's get there.

0:38:57.156 --> 0:38:57.796
<v Speaker 1>Is it a dodo?

0:38:57.876 --> 0:38:59.636
<v Speaker 2>Though for me? It might be a dodo for me?

0:38:59.996 --> 0:39:02.676
<v Speaker 1>Do you think do you think? I mean? Well, I

0:39:02.916 --> 0:39:04.956
<v Speaker 1>I We're going to get back to the semantic question.

0:39:05.156 --> 0:39:06.916
<v Speaker 1>And that's a dumb thing to end on, but I

0:39:06.956 --> 0:39:08.916
<v Speaker 1>do want to ask, like, do you think you're gonna

0:39:08.956 --> 0:39:11.116
<v Speaker 1>make it? And I know it's a dumb question, but

0:39:11.156 --> 0:39:15.316
<v Speaker 1>it's also not a dumb question, right, like one wants

0:39:15.356 --> 0:39:15.916
<v Speaker 1>to ask it.

0:39:16.316 --> 0:39:20.236
<v Speaker 2>Absolutely, you know there's and I accept something that looks

0:39:20.316 --> 0:39:23.156
<v Speaker 2>and acts like a dodo, that can fit into that environment, that.

0:39:23.116 --> 0:39:26.476
<v Speaker 1>Can do like a do and it quacks. Though, do

0:39:26.556 --> 0:39:29.116
<v Speaker 1>we know did a dodo quack? Problem? Cool? It was

0:39:29.156 --> 0:39:29.716
<v Speaker 1>a pigeon.

0:39:29.916 --> 0:39:35.956
<v Speaker 2>It cools, right, it coos yeah.

0:39:36.796 --> 0:39:41.276
<v Speaker 1>Beth Shapiro is the chief Scientific Officer at Colossal Biosciences.

0:39:42.156 --> 0:39:45.436
<v Speaker 1>Today's show was produced by Gabriel Hunter Chang. It was

0:39:45.676 --> 0:39:49.116
<v Speaker 1>edited by Lyddy Jean Kott and engineered by Sarah Bruger.

0:39:49.596 --> 0:39:52.796
<v Speaker 1>You can email us at problem at Pushkin dot fm.

0:39:53.356 --> 0:39:55.716
<v Speaker 1>I'm Jacob Boldstein and we'll be back next week with

0:39:55.756 --> 0:40:09.756
<v Speaker 1>another episode of What's Your Problem As