1 00:00:00,120 --> 00:00:02,679 Speaker 1: You remember the American biotech outfit that wants to bring 2 00:00:02,720 --> 00:00:04,840 Speaker 1: them More back to life here in New Zealand. It's 3 00:00:04,840 --> 00:00:08,200 Speaker 1: called Colossal Bioscience. They're in Dallas. They did the dire 4 00:00:08,280 --> 00:00:11,120 Speaker 1: Wolf pups. They use ancient DNA and then they use 5 00:00:11,200 --> 00:00:14,440 Speaker 1: gene editing and Huila, they're back to life. They say 6 00:00:14,440 --> 00:00:15,760 Speaker 1: they want to do the same with the Mare and 7 00:00:15,800 --> 00:00:18,880 Speaker 1: Sir Peter Jackson. Ben Lamb is the chief executive and 8 00:00:19,000 --> 00:00:21,960 Speaker 1: co founder. Morning Ben, Hey, how's it going very well? 9 00:00:22,040 --> 00:00:24,120 Speaker 1: Thank you? So are you really going to bring back 10 00:00:24,160 --> 00:00:25,680 Speaker 1: the More or are you going to bring back something 11 00:00:25,720 --> 00:00:27,480 Speaker 1: that's kind of like the More but not quite the More? 12 00:00:28,480 --> 00:00:30,120 Speaker 2: Well, I mean, yeah, we're going to bring back the More, 13 00:00:30,160 --> 00:00:31,880 Speaker 2: just like we brought back the dire Wolves, and we're 14 00:00:31,880 --> 00:00:33,760 Speaker 2: working on Mamamos and Dodos as well. 15 00:00:33,840 --> 00:00:36,239 Speaker 1: But they're not You're not actually bringing back the mall, 16 00:00:36,240 --> 00:00:39,159 Speaker 1: aren't you. Like with the wolves, it's a gray wolf 17 00:00:39,360 --> 00:00:42,600 Speaker 1: that has some characteristics of what. 18 00:00:42,520 --> 00:00:45,120 Speaker 2: Has the genes, So it has the genes that are 19 00:00:45,159 --> 00:00:49,160 Speaker 2: specific to that of the Direwolf that made a Darwolf Darrewolf, 20 00:00:49,200 --> 00:00:52,960 Speaker 2: and so there's about sixty thousand years of genetic divergence 21 00:00:53,000 --> 00:00:55,639 Speaker 2: between our two darwl samples and we have about five 22 00:00:55,720 --> 00:00:58,680 Speaker 2: hundred times more data than anyone's ever had on dar wolves. 23 00:00:58,760 --> 00:01:00,600 Speaker 2: And so what we do at KLAS, because we're a 24 00:01:00,600 --> 00:01:03,120 Speaker 2: geno engineering company, is think of us about think of 25 00:01:03,160 --> 00:01:06,399 Speaker 2: it as like rebuilding extinct species for today. Right. So, 26 00:01:06,480 --> 00:01:08,800 Speaker 2: I don't know if you've seen Jurassic Park. We occasionally 27 00:01:08,840 --> 00:01:11,319 Speaker 2: get that reference, but it's just like Jurassic Park that 28 00:01:11,400 --> 00:01:14,240 Speaker 2: in that regard. So we identify the core genes that 29 00:01:14,319 --> 00:01:17,240 Speaker 2: make some mammo at, the mammoth, the Maha moa, direwolf, darwolf, 30 00:01:17,319 --> 00:01:20,720 Speaker 2: and we engineer them into their closest living relatives. There's 31 00:01:20,720 --> 00:01:25,240 Speaker 2: actually more genetic distance between our two dire wolves than 32 00:01:25,280 --> 00:01:28,200 Speaker 2: there are from our most recent direwolf, which was Tallved 33 00:01:28,240 --> 00:01:31,280 Speaker 2: one thousand, five hundred years ago and today's modern wolf. 34 00:01:31,319 --> 00:01:34,039 Speaker 2: And so that's how evolution works. There's a lot of 35 00:01:34,080 --> 00:01:37,840 Speaker 2: things that are called fixed mutations that drive core phenotypes 36 00:01:37,920 --> 00:01:39,959 Speaker 2: or physical attributes, and those are the things that. 37 00:01:39,959 --> 00:01:43,959 Speaker 1: We identifyin when we picture a moa, I'm picturing it, 38 00:01:44,000 --> 00:01:47,200 Speaker 1: you know, a seven major total giant bird running through 39 00:01:47,240 --> 00:01:49,120 Speaker 1: the night of forest of New Zealand. Is that what 40 00:01:49,160 --> 00:01:50,320 Speaker 1: we'll get? 41 00:01:50,720 --> 00:01:52,600 Speaker 2: Yeah, So, I mean it will have all the core 42 00:01:52,680 --> 00:01:55,280 Speaker 2: phenom types that are driven by the core genes that 43 00:01:55,320 --> 00:01:57,520 Speaker 2: made a moha moa. Now there's as you probably know, 44 00:01:57,600 --> 00:01:59,640 Speaker 2: there's nine species of. 45 00:01:59,640 --> 00:02:02,320 Speaker 1: Moa A small one yeah. 46 00:02:02,160 --> 00:02:05,360 Speaker 2: No, no, no, we're focusing on the South Island giant moa. 47 00:02:05,720 --> 00:02:09,040 Speaker 2: So the first one, which was the biggest puh. So 48 00:02:09,080 --> 00:02:11,520 Speaker 2: that's the one that we're starting with. And then if 49 00:02:12,040 --> 00:02:15,800 Speaker 2: the you know, New Zealand people, other groups of the 50 00:02:15,840 --> 00:02:18,760 Speaker 2: Malory people as well as the government want us to 51 00:02:18,800 --> 00:02:20,800 Speaker 2: work on other moa species, we'd be open to it. 52 00:02:20,840 --> 00:02:23,680 Speaker 2: But right now we're working at the Knightahu Research Center 53 00:02:24,000 --> 00:02:26,079 Speaker 2: and specifically the South Island. 54 00:02:25,800 --> 00:02:28,520 Speaker 1: Gianmo okay, and how long before we could see it 55 00:02:28,560 --> 00:02:29,600 Speaker 1: running around the bush again. 56 00:02:30,200 --> 00:02:32,720 Speaker 2: So I think it'll be a ten year project. It's 57 00:02:32,720 --> 00:02:35,680 Speaker 2: a hard project. It's not quite as hard as some 58 00:02:35,760 --> 00:02:38,960 Speaker 2: of our other projects, but it is a very hard project. 59 00:02:39,080 --> 00:02:42,280 Speaker 2: You know, there's not great DNA, there's not been great samples. 60 00:02:42,560 --> 00:02:45,720 Speaker 2: We've now gone through and sampled, you know, over one 61 00:02:45,800 --> 00:02:48,680 Speaker 2: hundred different bones or sorry, two hundred different bones, and 62 00:02:48,720 --> 00:02:52,040 Speaker 2: so we're now collecting those additional samples. And the first 63 00:02:52,080 --> 00:02:54,160 Speaker 2: thing that we do is to collect the ancient DNA 64 00:02:54,280 --> 00:02:55,960 Speaker 2: and then we have to map it all. We have 65 00:02:55,960 --> 00:02:58,960 Speaker 2: to do genetic reconstruction of the ancient genos and then 66 00:02:59,000 --> 00:03:01,840 Speaker 2: map it to the close little relatives in a different 67 00:03:01,880 --> 00:03:04,640 Speaker 2: and we do a ton of genome sequencing, like in 68 00:03:04,680 --> 00:03:08,000 Speaker 2: the case the dire wolves, people mistakenly thought the dire 69 00:03:08,040 --> 00:03:11,720 Speaker 2: wolves were close related to jackals than they were wolves. 70 00:03:12,240 --> 00:03:14,840 Speaker 2: Once we go through the process of understanding the genomes, 71 00:03:15,000 --> 00:03:19,080 Speaker 2: we can actually understand specifically where they fall filo genetically. 72 00:03:19,120 --> 00:03:21,200 Speaker 2: So there's a lot of really great data that comes 73 00:03:21,240 --> 00:03:23,840 Speaker 2: out of this from an educational perspective in terms of 74 00:03:23,880 --> 00:03:26,720 Speaker 2: like where animals actually sit in this this tree of life. 75 00:03:26,800 --> 00:03:29,960 Speaker 2: And so that is the phase that we're into the project. Now. 76 00:03:30,280 --> 00:03:33,959 Speaker 2: As we get through that phase, will then identify kind 77 00:03:33,960 --> 00:03:36,920 Speaker 2: of like what the genetic donor will be and then 78 00:03:37,080 --> 00:03:40,480 Speaker 2: so who were we start from an editing perspective, and 79 00:03:40,520 --> 00:03:42,080 Speaker 2: then we'll start editing from there. 80 00:03:43,920 --> 00:03:45,600 Speaker 1: All right, being sounds like you've got a lot on 81 00:03:45,640 --> 00:03:47,280 Speaker 1: your hands, we'll let you get into it. That's been 82 00:03:47,400 --> 00:03:52,280 Speaker 1: Lamb from Colossal Bioscience. That's the CEO and co founder for. 83 00:03:52,320 --> 00:03:55,240 Speaker 2: More fam Early edition with Ryan Bridge. Listen live to 84 00:03:55,400 --> 00:03:58,560 Speaker 2: news talks it be from five am weekdays or follow 85 00:03:58,640 --> 00:04:00,360 Speaker 2: the podcast on iheartright Now YO,