1 00:00:00,280 --> 00:00:02,239 Speaker 1: You would have seen this in the news today. Massive 2 00:00:02,279 --> 00:00:06,480 Speaker 1: story today about this project to bring back the extinct moa, 3 00:00:06,600 --> 00:00:10,879 Speaker 1: and it's rustling a few feathers in the world of academia. 4 00:00:11,520 --> 00:00:15,680 Speaker 1: The Mammoth project aims to revive the prehistoric animal within 5 00:00:15,720 --> 00:00:19,599 Speaker 1: the next decade. I spoke to the company's CEO on 6 00:00:19,680 --> 00:00:22,240 Speaker 1: Herald Now this morning and what he told me was 7 00:00:22,520 --> 00:00:24,960 Speaker 1: that it's going to take ten years, but it will happen. 8 00:00:25,040 --> 00:00:27,600 Speaker 1: These things are massive, three and a half meters tall. 9 00:00:27,640 --> 00:00:29,480 Speaker 1: This is the South Island more three and a half 10 00:00:29,560 --> 00:00:32,960 Speaker 1: meters tall, and they do it. It's not going to 11 00:00:32,960 --> 00:00:35,880 Speaker 1: be exactly the moa. It's going to be a cousin 12 00:00:36,240 --> 00:00:39,360 Speaker 1: of the moa that they will edit to look more mourish. 13 00:00:40,320 --> 00:00:40,800 Speaker 1: Here he is. 14 00:00:41,320 --> 00:00:44,120 Speaker 2: Let's continue to build and build a stage gated process 15 00:00:44,159 --> 00:00:46,680 Speaker 2: in where they can be in secure, expanse at ecological 16 00:00:46,760 --> 00:00:50,760 Speaker 2: preserves and we can understand how they interact with the 17 00:00:50,760 --> 00:00:55,200 Speaker 2: ecology of the existing ecosystem and whatnot, and truly study 18 00:00:55,200 --> 00:00:57,360 Speaker 2: them and make them home here again. 19 00:00:57,600 --> 00:01:00,880 Speaker 1: Professor Phillips Siddon, University of Otago Zola Department with me 20 00:01:00,920 --> 00:01:06,240 Speaker 1: this afternoon. Good afternoon, Hi there, professor, do you like 21 00:01:06,319 --> 00:01:08,039 Speaker 1: this idea. 22 00:01:08,640 --> 00:01:11,319 Speaker 3: I think the devil's in the details. Ryan, I think 23 00:01:12,319 --> 00:01:15,120 Speaker 3: you've got to dig down. A lot of the word 24 00:01:15,200 --> 00:01:18,440 Speaker 3: is about bringing back Moa, but extinction really is forever. 25 00:01:18,520 --> 00:01:20,600 Speaker 3: We're not going to see Moya again, No. 26 00:01:20,640 --> 00:01:23,360 Speaker 1: Because it's not going to be a real ma is it. 27 00:01:23,360 --> 00:01:26,400 Speaker 3: It's not a real mara. So yeah, it'll be a 28 00:01:26,440 --> 00:01:30,880 Speaker 3: genetically modified organism some near relative. And the near relative 29 00:01:30,959 --> 00:01:35,160 Speaker 3: for moa are pretty distant. Actually, they're a small flight 30 00:01:35,200 --> 00:01:36,400 Speaker 3: at bird in South America. 31 00:01:36,760 --> 00:01:41,759 Speaker 1: Yeah, photos of them, the tiny yeah, tiny, sixty million 32 00:01:41,840 --> 00:01:46,760 Speaker 1: years difference. So is there anything wrong with doing it? 33 00:01:48,520 --> 00:01:51,360 Speaker 3: Well, you've got to ask why you're doing it, and 34 00:01:51,680 --> 00:01:54,040 Speaker 3: you've got to be honest about what you're doing. And 35 00:01:54,120 --> 00:01:57,840 Speaker 3: your quote you Ben was being upfront about talking about cousins, 36 00:01:57,880 --> 00:02:00,760 Speaker 3: but if you look at the front end media stuff, 37 00:02:00,760 --> 00:02:03,640 Speaker 3: it's all about bringing back moa. To all wrapping back 38 00:02:03,640 --> 00:02:05,760 Speaker 3: mon I was working on a kind of a tortured analogy. 39 00:02:05,800 --> 00:02:10,600 Speaker 3: If I could cheer it with you, I imagine imagine 40 00:02:10,639 --> 00:02:13,920 Speaker 3: if someone said would you like the Mona Lisa, and 41 00:02:13,960 --> 00:02:16,079 Speaker 3: you went, well, the Mona Lisa. The yeah, the Mona Lisa. 42 00:02:16,120 --> 00:02:17,520 Speaker 3: We're going to give you the mon Lisa, and they 43 00:02:17,600 --> 00:02:19,160 Speaker 3: give you this painting. You look at it and it's 44 00:02:19,160 --> 00:02:22,160 Speaker 3: a it's a woman with a smile, and you think, well, 45 00:02:22,240 --> 00:02:24,639 Speaker 3: it doesn't quite look like and you go, is this 46 00:02:24,760 --> 00:02:26,400 Speaker 3: really the Mona Lisa And they say, well, no, it's 47 00:02:26,440 --> 00:02:29,720 Speaker 3: actually another painting. I don't know, woman girl with the 48 00:02:29,760 --> 00:02:32,359 Speaker 3: pearl earring. But we've got some paint, bushes and paint. 49 00:02:32,440 --> 00:02:33,880 Speaker 3: We tweaked it and we made it look a bit 50 00:02:33,919 --> 00:02:36,080 Speaker 3: like the Mona Lisa. So because it looks like the 51 00:02:36,080 --> 00:02:38,320 Speaker 3: Mona Lisa, we're going to call it the Mona Lisa. 52 00:02:38,639 --> 00:02:39,360 Speaker 1: It's awful. 53 00:02:39,440 --> 00:02:43,280 Speaker 3: Thing's wrong with that. It's it's a it's a looker bike. 54 00:02:43,639 --> 00:02:45,240 Speaker 3: There's a couple of things wrong with that. It's not 55 00:02:45,360 --> 00:02:48,480 Speaker 3: the Mona Lisa. So there's an authenticity about it that's missing. 56 00:02:48,919 --> 00:02:51,000 Speaker 3: And the second thing is that you've messed up something 57 00:02:51,000 --> 00:02:53,560 Speaker 3: else in order to create that. You've got to say, 58 00:02:54,040 --> 00:02:57,040 Speaker 3: just because you can do these things, should you really 59 00:02:57,080 --> 00:02:59,440 Speaker 3: be doing it? What's the compelling reason for doing this? 60 00:03:00,400 --> 00:03:03,120 Speaker 1: So the cousin, we mark up the cousin by doing it. 61 00:03:03,160 --> 00:03:07,639 Speaker 4: That's what you're saying, Yeah, you're creating a genetically modified 62 00:03:08,840 --> 00:03:13,480 Speaker 4: other species that will have ideally mo like features or 63 00:03:13,680 --> 00:03:15,919 Speaker 4: look like a moa, whether it behaves like a moa, 64 00:03:16,040 --> 00:03:20,080 Speaker 4: and in the system, we don't know. Genetics will be different, 65 00:03:20,120 --> 00:03:22,600 Speaker 4: it's physiology be a different, it's behavior will be different. 66 00:03:23,160 --> 00:03:25,840 Speaker 4: So there's a lot of question marks about whether a 67 00:03:25,960 --> 00:03:28,360 Speaker 4: GMO version of a mora is actually going to be 68 00:03:28,440 --> 00:03:29,079 Speaker 4: useful at all. 69 00:03:29,160 --> 00:03:30,280 Speaker 3: We do use system. 70 00:03:30,360 --> 00:03:32,280 Speaker 1: We do it with plants, so don't wean food? 71 00:03:34,080 --> 00:03:37,240 Speaker 3: Yeah, well, we genetically modified plants or people to use 72 00:03:37,320 --> 00:03:39,440 Speaker 3: GMO plants in order to make them kind of grow 73 00:03:39,520 --> 00:03:41,960 Speaker 3: better or be resistant to disease and things like that. 74 00:03:42,120 --> 00:03:44,560 Speaker 3: And the rationale is that you want more crops that 75 00:03:44,640 --> 00:03:45,720 Speaker 3: feed more people. 76 00:03:45,760 --> 00:03:47,920 Speaker 1: Right, so there's a good reason for it. You're saying 77 00:03:47,920 --> 00:03:51,680 Speaker 1: there is no good reason here. They say tourism, and 78 00:03:51,800 --> 00:03:55,200 Speaker 1: you might get some more. You're just not buying. You 79 00:03:55,240 --> 00:03:56,800 Speaker 1: think this is us of bullshit, don't you? 80 00:03:57,680 --> 00:04:00,480 Speaker 3: Well I do, and I look at what coloss doing 81 00:04:00,520 --> 00:04:04,320 Speaker 3: and you know they're packing the icons of extinction. So 82 00:04:04,440 --> 00:04:10,080 Speaker 3: wooly mammoth, Dodo, Tasmanian tiger philacy. Now mo, why wouldn't 83 00:04:10,080 --> 00:04:11,280 Speaker 3: you go for moh? And which mow are you going 84 00:04:11,320 --> 00:04:13,160 Speaker 3: to go for? Because there are a number of species. Well, 85 00:04:13,200 --> 00:04:15,480 Speaker 3: they're going to the biggest one. So this is the 86 00:04:15,480 --> 00:04:17,480 Speaker 3: biggest media hit you can do. And if you look 87 00:04:17,480 --> 00:04:20,280 Speaker 3: at all the front end stuff, it's saying the MOA 88 00:04:20,400 --> 00:04:23,960 Speaker 3: is coming back, it's not. And there's some real questions 89 00:04:24,000 --> 00:04:27,080 Speaker 3: about why you're doing this. If you're rationalist tourism, that's 90 00:04:27,160 --> 00:04:28,000 Speaker 3: pretty weak source. 91 00:04:28,080 --> 00:04:31,640 Speaker 1: I think Professor Phillipson tell us what you really think. 92 00:04:31,680 --> 00:04:35,680 Speaker 1: It's a forgery, you wouldn't do. It's no Mona, Lisa 93 00:04:36,200 --> 00:04:37,800 Speaker 1: and basically a bunch of bs. 94 00:04:38,640 --> 00:04:41,800 Speaker 3: For more from Heather Duplessy Allen Drive, listen live to 95 00:04:41,920 --> 00:04:44,960 Speaker 3: news Talks. It'd be from four pm weekdays, or follow 96 00:04:45,000 --> 00:04:46,760 Speaker 3: the podcast on iHeartRadio