1 00:00:00,600 --> 00:00:06,480 Speaker 1: Seven oh two Weekend Breakfast the Nature Diary with Tim. 2 00:00:06,360 --> 00:00:09,119 Speaker 2: Neary at eighteen minutes before seven o'clock. Welcome back to 3 00:00:09,119 --> 00:00:11,280 Speaker 2: seven oh two week in Breakfast with Me, cooks and film. 4 00:00:11,640 --> 00:00:14,160 Speaker 2: It's a Sunday morning, it's after six thirty, so we 5 00:00:14,240 --> 00:00:18,480 Speaker 2: spend time in nature, and this morning we are exploring 6 00:00:18,640 --> 00:00:21,640 Speaker 2: the ocean. We're looking at some of the surprising DNA 7 00:00:21,720 --> 00:00:23,880 Speaker 2: stories from the sea. Also going to be talking about 8 00:00:23,920 --> 00:00:26,680 Speaker 2: zue plankton, which many of us probably haven't heard. 9 00:00:26,560 --> 00:00:29,440 Speaker 3: That word since high school. But don't worry. 10 00:00:29,960 --> 00:00:32,680 Speaker 2: We're going to be talking about sue plankton and what 11 00:00:32,760 --> 00:00:35,199 Speaker 2: it tells us somewhere. They're so important and such a 12 00:00:35,200 --> 00:00:39,320 Speaker 2: crucial part of the scene. Will be joined by doctor Ashrini. 13 00:00:39,400 --> 00:00:44,960 Speaker 2: Governor ash is an ecologist at Oceanographic Research Institute. And 14 00:00:45,000 --> 00:00:47,720 Speaker 2: then we're joined as always by our RESIDENCYSI and natter 15 00:00:47,760 --> 00:00:51,519 Speaker 2: conservationist Tim Neary. Tim, good morning. 16 00:00:51,360 --> 00:00:53,760 Speaker 1: Good morning, and how are we? I am? I just 17 00:00:53,760 --> 00:00:54,560 Speaker 1: feel like a hobbit. 18 00:00:55,640 --> 00:00:57,960 Speaker 4: Why I'm sitting down on the all miss on the 19 00:00:58,000 --> 00:00:59,240 Speaker 4: floor in this chair. 20 00:01:01,400 --> 00:01:02,240 Speaker 1: Like a shrunk. 21 00:01:03,720 --> 00:01:05,880 Speaker 4: It's actually yeah to see it's a bit of mizzled 22 00:01:05,880 --> 00:01:09,119 Speaker 4: outside this morning. So the miserable drizzle. Right, she will 23 00:01:09,200 --> 00:01:12,160 Speaker 4: get on in rain and rain. Commit to this, you know, 24 00:01:12,400 --> 00:01:15,479 Speaker 4: like fall the tanks with you. The rain's been really 25 00:01:15,520 --> 00:01:16,319 Speaker 4: good for my grass. 26 00:01:16,319 --> 00:01:18,480 Speaker 2: It was looking at bit desperate when it got really 27 00:01:18,480 --> 00:01:20,960 Speaker 2: really hot and we're having those like thirty six eight 28 00:01:21,000 --> 00:01:23,680 Speaker 2: thirty nine temperatures, and so i'd given up on it, 29 00:01:23,800 --> 00:01:26,360 Speaker 2: and now it's looking beautiful. 30 00:01:26,440 --> 00:01:27,240 Speaker 1: It's actually quite. 31 00:01:27,120 --> 00:01:28,760 Speaker 4: Interesting when you look at a lot of the growth. 32 00:01:28,840 --> 00:01:33,039 Speaker 4: I mean, we've got a false peach. I think it is, oh, 33 00:01:33,080 --> 00:01:36,200 Speaker 4: a false peach. I think it's a false peach. It's confused. 34 00:01:36,240 --> 00:01:39,840 Speaker 4: It's not supposed to produce fruit, and it does, of 35 00:01:39,880 --> 00:01:43,800 Speaker 4: which the dog consequently chews on then swallows the pip. 36 00:01:44,160 --> 00:01:46,440 Speaker 4: And then why it's usually to about eleven o'clock at night, 37 00:01:46,600 --> 00:01:49,720 Speaker 4: vomits up a few, right, that's the beetle does that. 38 00:01:49,720 --> 00:01:50,800 Speaker 3: That seems reasonable. 39 00:01:51,000 --> 00:01:51,720 Speaker 1: It is reasonable. 40 00:01:51,840 --> 00:01:54,520 Speaker 4: I'd far rather she vomited them up than try to 41 00:01:54,520 --> 00:01:58,160 Speaker 4: get them stuck in her chest, you know, otherwise that's 42 00:01:58,240 --> 00:02:01,760 Speaker 4: that's another mission in life. Right. But yeah, looking at 43 00:02:01,800 --> 00:02:03,720 Speaker 4: it at quite a lot of the stuff in the garden, 44 00:02:03,720 --> 00:02:07,760 Speaker 4: you're seeing the sudden new shoots after that heat sort 45 00:02:07,760 --> 00:02:11,880 Speaker 4: of rain, heat, rain and everything's going gone a little 46 00:02:11,880 --> 00:02:12,400 Speaker 4: bit growth. 47 00:02:12,560 --> 00:02:13,560 Speaker 1: Yeah, it's kind of cool. 48 00:02:13,720 --> 00:02:17,280 Speaker 2: I have some orange flowers that haven't been there all 49 00:02:17,360 --> 00:02:20,280 Speaker 2: summer that suddenly appeared this week. 50 00:02:21,240 --> 00:02:24,200 Speaker 4: It looks like I'm just trying to think that. I'm 51 00:02:24,240 --> 00:02:26,320 Speaker 4: pretty sure it's going to be the same as we Yes, 52 00:02:26,720 --> 00:02:27,160 Speaker 4: they're like. 53 00:02:27,240 --> 00:02:31,240 Speaker 2: Long and green, and then they almost look like not lilies, 54 00:02:31,240 --> 00:02:34,040 Speaker 2: but like the flowers are like tiny little lilies. At 55 00:02:34,040 --> 00:02:37,160 Speaker 2: the time, there's this vibrant orange just came out of nowhere. 56 00:02:37,280 --> 00:02:37,520 Speaker 1: Yeah. 57 00:02:37,600 --> 00:02:40,040 Speaker 4: They they kind of a lot of gardeners think that 58 00:02:40,120 --> 00:02:43,320 Speaker 4: their weeds because you don't, because they disappear and then 59 00:02:43,360 --> 00:02:45,120 Speaker 4: they die back and then they reappear. 60 00:02:46,360 --> 00:02:46,959 Speaker 1: I love them. 61 00:02:47,280 --> 00:02:51,960 Speaker 4: I've just seen them for them. Yeah, I know, you 62 00:02:52,000 --> 00:02:54,480 Speaker 4: get all sorts of odd things that come out. No, 63 00:02:54,639 --> 00:02:59,120 Speaker 4: I don't like a managed, good, normals garden. I think 64 00:02:59,120 --> 00:03:00,919 Speaker 4: that's why I like play. Is like the ocean and 65 00:03:01,000 --> 00:03:04,600 Speaker 4: the bush and you know, I rather sit Yeah, and 66 00:03:04,600 --> 00:03:05,480 Speaker 4: I'd rather sit back. 67 00:03:05,520 --> 00:03:05,720 Speaker 1: You know. 68 00:03:05,720 --> 00:03:07,040 Speaker 4: Why do I need to prune a tree if you 69 00:03:07,120 --> 00:03:10,000 Speaker 4: got kodoo, you know? Or do I need to clean 70 00:03:10,000 --> 00:03:11,800 Speaker 4: the gross sort of mow the grass? Or can I 71 00:03:11,800 --> 00:03:14,840 Speaker 4: bring the rhino and impola in? Yeah, that sort of idea. 72 00:03:14,880 --> 00:03:17,480 Speaker 4: It's much easier. You can sit back and enjoy a 73 00:03:17,480 --> 00:03:20,360 Speaker 4: glass of wine or whiskey or coffee, and while the 74 00:03:20,400 --> 00:03:24,919 Speaker 4: animals are doing the work slave labor, right, the same 75 00:03:24,919 --> 00:03:28,320 Speaker 4: as the ocean. I love the ocean. I think the 76 00:03:28,360 --> 00:03:30,880 Speaker 4: one thing I love about the ocean is that when 77 00:03:30,880 --> 00:03:34,600 Speaker 4: you look at it, you realize that you know very 78 00:03:34,639 --> 00:03:38,200 Speaker 4: little about it. Nothing looks. Every day is the same. 79 00:03:38,640 --> 00:03:41,119 Speaker 4: The tide comes in, the tide goes out, the sea 80 00:03:41,200 --> 00:03:44,560 Speaker 4: gets rough, the sea gets calm, blue bottles arrive. I 81 00:03:44,600 --> 00:03:47,200 Speaker 4: don't swim, you know that sort of thing. It's got that. 82 00:03:48,200 --> 00:03:51,120 Speaker 4: And yet the moment you poke your nose under the water, 83 00:03:51,520 --> 00:03:52,880 Speaker 4: there's another whole life there. 84 00:03:53,400 --> 00:03:54,480 Speaker 1: Yeah, another whole life. 85 00:03:54,520 --> 00:03:56,640 Speaker 4: And one of the things we're going to discover this 86 00:03:56,720 --> 00:03:59,720 Speaker 4: morning is can you milk a zooplankton? 87 00:04:01,080 --> 00:04:03,640 Speaker 3: Oh? Don't we have enough milks? Well? 88 00:04:03,960 --> 00:04:07,280 Speaker 4: I just thought zooplankton milk might be a good idea. Really, 89 00:04:07,400 --> 00:04:12,720 Speaker 4: yeah's that we have enough? No, this almond milk tells 90 00:04:12,760 --> 00:04:14,440 Speaker 4: you before the day that I can sit on a 91 00:04:14,440 --> 00:04:20,799 Speaker 4: little stool and milk an almond into a bucket. That's fine. 92 00:04:20,920 --> 00:04:23,839 Speaker 4: I then start drinking almond milk until that point. No, 93 00:04:23,960 --> 00:04:28,200 Speaker 4: it's horrid stuff. Okay, oh no, okay, before we. 94 00:04:28,120 --> 00:04:31,880 Speaker 2: Get sidetracked with the milk and milking zoop flankton, maybe 95 00:04:31,880 --> 00:04:34,479 Speaker 2: we can milk zuop flankton, I think. So I joined 96 00:04:34,520 --> 00:04:38,200 Speaker 2: now on the line by ecologists. She's with the Oceanographic 97 00:04:38,520 --> 00:04:41,760 Speaker 2: Research Institute, which is part of the South African Association 98 00:04:41,880 --> 00:04:46,520 Speaker 2: for Marine Biological Research. Doctor Ashwini Governor joins us this morning. 99 00:04:46,880 --> 00:04:48,919 Speaker 2: Doctor Governor, A very good morning to you. Welcome to 100 00:04:48,960 --> 00:04:49,720 Speaker 2: Weeken Breakfast. 101 00:04:50,800 --> 00:04:52,719 Speaker 5: Good morning and thank you for having me this morning. 102 00:04:52,800 --> 00:04:54,760 Speaker 2: Thank you so much for joining us. So tell us 103 00:04:54,920 --> 00:04:58,760 Speaker 2: why the ocean? Why did you choose that? As I 104 00:04:58,760 --> 00:05:01,120 Speaker 2: guess you're as your lab there's the area of research. 105 00:05:02,279 --> 00:05:03,800 Speaker 5: Why wouldn't you choose the ocean? 106 00:05:04,520 --> 00:05:05,240 Speaker 3: This is as the. 107 00:05:05,279 --> 00:05:08,159 Speaker 5: Question you should be asking yourself. I love the ocean 108 00:05:08,279 --> 00:05:12,120 Speaker 5: my whole childhood. I was always drawn to the ocean 109 00:05:12,640 --> 00:05:16,800 Speaker 5: and wanting to see what's below the water always fascinated me. 110 00:05:16,880 --> 00:05:18,560 Speaker 5: So that's where that's how I got to where I 111 00:05:18,600 --> 00:05:19,120 Speaker 5: am today. 112 00:05:20,000 --> 00:05:22,320 Speaker 1: Ash a molecular ecologist. 113 00:05:22,839 --> 00:05:24,840 Speaker 4: Ecologist, you seem to stick it on the back of 114 00:05:24,920 --> 00:05:28,760 Speaker 4: almost everything. I'm trying to think of some mad scientists 115 00:05:28,760 --> 00:05:32,440 Speaker 4: sitting in a laboratory surrounded by all sorts of molecules, 116 00:05:32,600 --> 00:05:33,760 Speaker 4: What on earth do you do? 117 00:05:35,160 --> 00:05:41,960 Speaker 5: Okay, so a molecular ecologists. So I study DNA. Right, 118 00:05:42,120 --> 00:05:46,479 Speaker 5: So I have now been able to study DNA, but 119 00:05:48,000 --> 00:05:51,360 Speaker 5: able to adapt it to ecology and ocean ecology, and 120 00:05:51,440 --> 00:05:55,839 Speaker 5: that's through something called DNA metabar coding. And I study 121 00:05:55,920 --> 00:05:58,960 Speaker 5: marine zooplankton. We can't look them yet, but we'll get 122 00:06:00,120 --> 00:06:01,080 Speaker 5: into that later on. 123 00:06:02,400 --> 00:06:05,320 Speaker 2: And so why is it so important to study zooplankton? 124 00:06:05,400 --> 00:06:08,359 Speaker 2: Someone might think, well, you know, there's so many interesting, 125 00:06:08,480 --> 00:06:12,119 Speaker 2: fascinating creatures in the ocean, and zoop plankton generally don't 126 00:06:12,160 --> 00:06:14,880 Speaker 2: get you know, the same kind of interest and excitement 127 00:06:14,960 --> 00:06:18,599 Speaker 2: to say, the whales or the dolphins. So why these 128 00:06:19,160 --> 00:06:21,240 Speaker 2: I guess very simple organisms. 129 00:06:22,839 --> 00:06:26,120 Speaker 5: So zoop plantin are really really important to all of. 130 00:06:26,120 --> 00:06:26,680 Speaker 3: Us, right. 131 00:06:26,960 --> 00:06:29,760 Speaker 5: They are the tiny babies of the ocean. They're your 132 00:06:29,800 --> 00:06:34,279 Speaker 5: tiny drifting organisms such as your baby crabs, your baby prons, 133 00:06:34,320 --> 00:06:37,520 Speaker 5: your baby fish. They are drifting in the ocean's water column, 134 00:06:38,000 --> 00:06:40,640 Speaker 5: and they play a very very important role to all 135 00:06:40,680 --> 00:06:43,200 Speaker 5: of us because they are actually the foundation of the 136 00:06:43,240 --> 00:06:49,280 Speaker 5: marine food web. They feed on something called phytoplankton, which 137 00:06:49,320 --> 00:06:53,200 Speaker 5: is your plant in the ocean, and they and your 138 00:06:53,279 --> 00:06:56,960 Speaker 5: larger organisms such as your fish, you're squid, your whales, 139 00:06:57,040 --> 00:07:00,600 Speaker 5: they all depend on the zoop plant in either directly 140 00:07:00,800 --> 00:07:04,080 Speaker 5: or indirectly, so they are eaten by everything in the ocean, right, 141 00:07:05,200 --> 00:07:08,560 Speaker 5: and they're not only are food sauce, but they also 142 00:07:08,600 --> 00:07:11,880 Speaker 5: help regulate the Earth's temperature. I'm not going to go 143 00:07:12,040 --> 00:07:15,040 Speaker 5: into too much of detail, but just remember they're actually 144 00:07:15,040 --> 00:07:18,920 Speaker 5: helping us regulate our temperature. And the most important to us, 145 00:07:19,000 --> 00:07:21,160 Speaker 5: which we feel is the most important, but it's not. 146 00:07:21,760 --> 00:07:25,400 Speaker 5: They support the global fisheries and everything that we eat. 147 00:07:25,440 --> 00:07:28,920 Speaker 5: Our heic, our prons, our crab, our lobster, they all 148 00:07:29,000 --> 00:07:30,720 Speaker 5: are dependent on the zoop lanktern. 149 00:07:31,680 --> 00:07:34,560 Speaker 4: Okay, how on earth did you study a zoop plankton? Though, 150 00:07:34,600 --> 00:07:37,360 Speaker 4: because I'm trying to think in my mind, you know, 151 00:07:37,640 --> 00:07:42,120 Speaker 4: you want to study a dolphin, great slapper, slap a 152 00:07:42,160 --> 00:07:44,559 Speaker 4: telemetry device on it. I want to study a whale 153 00:07:45,080 --> 00:07:49,200 Speaker 4: or a turtle telemetry. If we go and you can 154 00:07:49,280 --> 00:07:53,280 Speaker 4: identify them by a shape, by coloration, they've all got 155 00:07:53,280 --> 00:07:56,200 Speaker 4: something that they can identify. But you're dealing with something 156 00:07:56,200 --> 00:07:57,320 Speaker 4: it's failing microscopic. 157 00:07:59,280 --> 00:08:01,920 Speaker 5: Yes, a lot of our work start at sea so 158 00:08:01,960 --> 00:08:04,680 Speaker 5: we have to go out on these big research vessels 159 00:08:05,280 --> 00:08:07,560 Speaker 5: and at the back of the research vessels we attack 160 00:08:07,680 --> 00:08:10,800 Speaker 5: something called plankton nets to be able to collect the 161 00:08:10,840 --> 00:08:14,760 Speaker 5: zooplankton from the water. So when once we're out deep enough, 162 00:08:14,840 --> 00:08:17,400 Speaker 5: we can release these nets into the water and we 163 00:08:17,520 --> 00:08:21,600 Speaker 5: drag it basically along the water column, so we don't 164 00:08:21,640 --> 00:08:25,280 Speaker 5: go too deep because zooplankton are polagic organisms, meaning that 165 00:08:25,320 --> 00:08:27,680 Speaker 5: they love to be at the upper water column, So 166 00:08:27,720 --> 00:08:30,800 Speaker 5: we can put these nets between five meters to two 167 00:08:30,880 --> 00:08:33,439 Speaker 5: hundred meters deep and we can get all the zooplankton 168 00:08:33,480 --> 00:08:36,440 Speaker 5: that we need. So we drag these nets in the ocean. 169 00:08:36,480 --> 00:08:39,600 Speaker 5: We collect all our zoop plankton and in these little 170 00:08:39,640 --> 00:08:42,000 Speaker 5: honey jars, and we have to preserve it. So our 171 00:08:42,360 --> 00:08:46,240 Speaker 5: preservation method is with ethanol. And then we take these 172 00:08:46,320 --> 00:08:49,880 Speaker 5: samples of zooplankton back into the lab and that's where 173 00:08:49,920 --> 00:08:53,760 Speaker 5: now we are able to process it using DNA metabarcoding. 174 00:08:54,360 --> 00:08:58,600 Speaker 2: As is there a difference in zooplankton, for instance, of 175 00:08:58,679 --> 00:09:02,000 Speaker 2: the coast of South Africa and zooplankton off the coast 176 00:09:02,040 --> 00:09:06,440 Speaker 2: of I don't know Greece does zooplankton have I guess 177 00:09:06,760 --> 00:09:08,439 Speaker 2: not different species, but different. 178 00:09:08,200 --> 00:09:10,480 Speaker 1: Types, they speak a different language. Goods. 179 00:09:10,600 --> 00:09:13,520 Speaker 5: Oh, so there won't be different types, but there will 180 00:09:13,520 --> 00:09:18,520 Speaker 5: be different species. Basically, Definitely across our whole South African coastline, 181 00:09:18,559 --> 00:09:22,360 Speaker 5: even from the top of West Iduana based to maybe 182 00:09:22,440 --> 00:09:25,640 Speaker 5: Cape down to the west coast, there's zooplank different zoop 183 00:09:25,640 --> 00:09:29,280 Speaker 5: plankt species across our coastline, leave alone, all the way 184 00:09:29,320 --> 00:09:29,760 Speaker 5: in Greece. 185 00:09:30,840 --> 00:09:33,959 Speaker 4: Okay, so I'm assuming then as well that things like 186 00:09:34,080 --> 00:09:38,280 Speaker 4: water temperature that also starts to ply quite a role 187 00:09:38,360 --> 00:09:41,600 Speaker 4: on them. How big in fact is a zoo plant 188 00:09:41,600 --> 00:09:42,840 Speaker 4: in strike? How small? 189 00:09:44,559 --> 00:09:47,480 Speaker 5: So you can get them really tiny where they are microscopic, 190 00:09:47,559 --> 00:09:49,559 Speaker 5: you can't see them with your naked eye, and then 191 00:09:49,800 --> 00:09:52,320 Speaker 5: they can be as big as jellyfish. So jellyfish, your 192 00:09:52,360 --> 00:09:54,520 Speaker 5: blue bottles that you're running away from. In the ocean, 193 00:09:54,720 --> 00:09:57,880 Speaker 5: they're actually considered zooplankton because they spend their entire life 194 00:09:58,000 --> 00:10:01,200 Speaker 5: drifting in the ocean. They can't form on their own. Yeah, 195 00:10:01,240 --> 00:10:04,839 Speaker 5: they're drifting, so they are known as zooplank that's so cool. 196 00:10:05,280 --> 00:10:08,040 Speaker 4: Yeah, so I've now been stung by a zoop planting. 197 00:10:08,640 --> 00:10:11,679 Speaker 4: I'm having a different, different feeling towards them. 198 00:10:11,679 --> 00:10:17,320 Speaker 5: Suddenly, by the way, plankton from SpongeBob is a zoop plantern. 199 00:10:18,160 --> 00:10:22,360 Speaker 4: Oh yes, okay, I'll pass on that comment. I don't 200 00:10:22,400 --> 00:10:26,440 Speaker 4: understand SpongeBob. So you have you know my kids did? 201 00:10:26,679 --> 00:10:28,319 Speaker 3: Oh I love SpongeBob. 202 00:10:28,640 --> 00:10:32,319 Speaker 1: No, I'm a I'm passed SpongeBob. 203 00:10:32,679 --> 00:10:37,240 Speaker 4: That's fine, I've lost my actually, okay, right, so now 204 00:10:37,240 --> 00:10:39,880 Speaker 4: you've got these things, you started to study them, what 205 00:10:40,480 --> 00:10:43,320 Speaker 4: in fact comes out? Why is it important to study them? 206 00:10:43,720 --> 00:10:45,480 Speaker 4: And I know that you say that the food stuff 207 00:10:45,559 --> 00:10:48,320 Speaker 4: or whatever, But do we have declining numbers? Are we 208 00:10:48,480 --> 00:10:52,520 Speaker 4: increasing numbers? How does climate change affect them? 209 00:10:52,760 --> 00:10:56,199 Speaker 5: Okay, so let's start with how I'm able to detect them? Right, So, 210 00:10:56,320 --> 00:10:57,920 Speaker 5: like I told you, we take them into the lab, 211 00:10:58,520 --> 00:11:00,600 Speaker 5: and I think there is also very important for your 212 00:11:00,640 --> 00:11:04,280 Speaker 5: listeners of how molecular collagere paused into this. So we 213 00:11:04,360 --> 00:11:07,640 Speaker 5: take our zooplankton into the lab and we extract its DNA. 214 00:11:08,240 --> 00:11:10,079 Speaker 5: But we have to make it into a little soup. 215 00:11:10,160 --> 00:11:12,400 Speaker 5: So we have all these whole zooplanktons, we blend them 216 00:11:12,440 --> 00:11:14,600 Speaker 5: in like a normal utrie bullet. We get a little 217 00:11:14,640 --> 00:11:18,240 Speaker 5: soup and then we send them off a sequencing And 218 00:11:18,320 --> 00:11:21,000 Speaker 5: once you get the sequences back it's basically like a 219 00:11:21,040 --> 00:11:24,320 Speaker 5: grocery list. We can tell you exactly what species of 220 00:11:24,400 --> 00:11:27,760 Speaker 5: zooplankton are in your sample. And this is where the 221 00:11:27,840 --> 00:11:30,520 Speaker 5: answer to your question comes from, because once we have 222 00:11:30,640 --> 00:11:33,400 Speaker 5: these species lists, we can actually use it now to 223 00:11:33,480 --> 00:11:36,800 Speaker 5: check zooplankton. Because just say, for example, we have a 224 00:11:37,000 --> 00:11:40,640 Speaker 5: monitoring line just outside of Durban, right and we're collecting 225 00:11:40,679 --> 00:11:44,400 Speaker 5: samples over every single year, we can actually see how 226 00:11:44,440 --> 00:11:47,559 Speaker 5: the species are changing as the years go by based 227 00:11:47,600 --> 00:11:50,880 Speaker 5: on the zooplankton species list that we are producing. So 228 00:11:51,080 --> 00:11:56,400 Speaker 5: zooplankton metabarcoding as a whole is a powerful tool because 229 00:11:56,400 --> 00:11:59,079 Speaker 5: it tells us and helps us detect species that are 230 00:11:59,080 --> 00:12:02,559 Speaker 5: too small, agile, or rare to see, and also give 231 00:12:02,640 --> 00:12:06,160 Speaker 5: us a clearer picture of biodiversity and how let's subtruck 232 00:12:06,280 --> 00:12:11,000 Speaker 5: how this marine ecosystem is responding to things like climate change, 233 00:12:11,040 --> 00:12:13,120 Speaker 5: your increasing temperature and things like that. 234 00:12:13,760 --> 00:12:17,800 Speaker 2: Tell us about the discovery of extinct cow DNA and 235 00:12:17,920 --> 00:12:18,480 Speaker 2: the ocean. 236 00:12:19,920 --> 00:12:25,920 Speaker 5: Oh so now we're getting into the story of mlking zooplanktons. Okay. 237 00:12:26,200 --> 00:12:29,760 Speaker 5: So one of the very interesting things about environmental DNA 238 00:12:30,160 --> 00:12:35,680 Speaker 5: is that sometimes it can reveal unexpected connections between land 239 00:12:35,720 --> 00:12:36,280 Speaker 5: and the sea. 240 00:12:36,400 --> 00:12:36,600 Speaker 2: Right. 241 00:12:37,240 --> 00:12:41,000 Speaker 5: So in one case, we detected DNA from an extinct cow, 242 00:12:41,480 --> 00:12:45,760 Speaker 5: your boss primigenius. It's known as orox in one of 243 00:12:45,760 --> 00:12:49,040 Speaker 5: our ocean samples, and we were completely puzzled because these 244 00:12:49,360 --> 00:12:54,200 Speaker 5: animals went extinct in the sixteen hundreds, right, And we 245 00:12:54,320 --> 00:12:58,600 Speaker 5: eventually realized that the modern cattle still carry chases of 246 00:12:58,679 --> 00:13:02,560 Speaker 5: this orox from ancient in breeding thousands of years ago. 247 00:13:03,400 --> 00:13:06,360 Speaker 5: So the reason why we found this cow DNA in 248 00:13:06,400 --> 00:13:09,240 Speaker 5: our zooplants and samples is that around the time that 249 00:13:09,320 --> 00:13:12,640 Speaker 5: we actually collected the examples, there was really heavy rains 250 00:13:12,640 --> 00:13:16,880 Speaker 5: and flooding in Durban, and it's not uncommon to see 251 00:13:16,920 --> 00:13:21,480 Speaker 5: cow caucasses floating deeper into the ocean because obviously with 252 00:13:21,480 --> 00:13:24,240 Speaker 5: your water and the high flooding, it's pushing everything into 253 00:13:24,280 --> 00:13:27,240 Speaker 5: the rivers and the river banks into our ocean and 254 00:13:27,280 --> 00:13:31,160 Speaker 5: it goes deeper into the ocean. So basically, fragments of 255 00:13:31,320 --> 00:13:35,760 Speaker 5: this modern cow got collected in our zooplant examples, which 256 00:13:35,880 --> 00:13:39,360 Speaker 5: trains back to your extinct cow because of genetics and 257 00:13:39,400 --> 00:13:43,119 Speaker 5: the linkage between modern cows and your extinct cows. 258 00:13:43,400 --> 00:13:45,720 Speaker 4: Oh, I kind of like that it's not a serious 259 00:13:45,720 --> 00:13:49,120 Speaker 4: detective story because I can imagine that once you did, 260 00:13:49,200 --> 00:13:52,680 Speaker 4: once your reports came back in the lab, everybody must 261 00:13:52,679 --> 00:13:56,760 Speaker 4: suggested that had a flatline because this is theoretically impossible, 262 00:13:57,600 --> 00:14:01,000 Speaker 4: and how do you tack down that this was the 263 00:14:01,040 --> 00:14:02,000 Speaker 4: story that had happened. 264 00:14:02,040 --> 00:14:04,080 Speaker 1: I mean, that's like a detective. 265 00:14:03,640 --> 00:14:07,000 Speaker 5: Novel because we knew that around the same time that 266 00:14:07,040 --> 00:14:09,480 Speaker 5: we collected these samples. It was like within a month 267 00:14:09,600 --> 00:14:12,200 Speaker 5: of the flooding that we collected these samples, and what 268 00:14:12,280 --> 00:14:15,120 Speaker 5: are the chances that we're getting cow DNA in our 269 00:14:15,240 --> 00:14:18,200 Speaker 5: zooplant examples all of a sudden when there were actual 270 00:14:18,520 --> 00:14:23,240 Speaker 5: sightings of these cars in caucasses in the deeper ocean. 271 00:14:24,040 --> 00:14:26,720 Speaker 5: So it's basically like detective work, like you're saying. So 272 00:14:26,840 --> 00:14:29,680 Speaker 5: like a DNA barcode is something that we produce, and 273 00:14:29,760 --> 00:14:32,480 Speaker 5: it's similar to going into a shop with the different 274 00:14:32,560 --> 00:14:38,320 Speaker 5: barcodes and you're having all your lists of different items 275 00:14:38,480 --> 00:14:40,480 Speaker 5: and you're scanning them, right, So it's the same in 276 00:14:40,520 --> 00:14:43,120 Speaker 5: the ocean. We have these different barcodes floating in the ocean, 277 00:14:43,360 --> 00:14:45,840 Speaker 5: and as you scan them, it gives us the story 278 00:14:45,880 --> 00:14:48,400 Speaker 5: and gives us more information of what in the ocean. 279 00:14:48,720 --> 00:14:52,920 Speaker 5: So that's how we managed to get the cow DNA 280 00:14:53,600 --> 00:14:54,640 Speaker 5: and how shocked. We were. 281 00:14:55,040 --> 00:14:57,720 Speaker 2: Is that I guess one of the coolest things you've 282 00:14:57,760 --> 00:15:01,320 Speaker 2: discovered or has there been something else that you found 283 00:15:01,320 --> 00:15:04,920 Speaker 2: through research, through investigation and you thought this is this 284 00:15:05,080 --> 00:15:05,920 Speaker 2: is really cool. 285 00:15:07,440 --> 00:15:09,360 Speaker 5: So that is the coolest story I have for you 286 00:15:09,480 --> 00:15:12,920 Speaker 5: right now. But we do find really cool trends when 287 00:15:12,960 --> 00:15:15,680 Speaker 5: we look at our zooplankton. So there was a study 288 00:15:15,720 --> 00:15:17,920 Speaker 5: that we did. It was actually part of my PhD. 289 00:15:18,080 --> 00:15:21,720 Speaker 5: We collected zooplankton along the whole coast of South Africa, 290 00:15:21,800 --> 00:15:24,920 Speaker 5: right and of the eastern eastern South Africa, not the 291 00:15:24,960 --> 00:15:27,120 Speaker 5: whole I have a student actually working on the whole 292 00:15:27,160 --> 00:15:31,080 Speaker 5: coast of South Africa, but on the eastern coast of 293 00:15:31,120 --> 00:15:34,520 Speaker 5: South Africa. We collected zooplankton and we could actually see 294 00:15:34,640 --> 00:15:36,680 Speaker 5: Linking to all the questions that you're asking me, this 295 00:15:36,760 --> 00:15:39,680 Speaker 5: is a really cool fact, is that we're actually seeing 296 00:15:40,200 --> 00:15:42,520 Speaker 5: zoo plankton that were like you know, the organisms, your 297 00:15:42,600 --> 00:15:46,040 Speaker 5: adult organisms that we don't know that occur in South 298 00:15:46,080 --> 00:15:49,920 Speaker 5: African waters. You know, the zooplankton drifting and with climate change, 299 00:15:49,920 --> 00:15:52,640 Speaker 5: we're actually seeing some of the species that we don't 300 00:15:52,720 --> 00:15:57,160 Speaker 5: generally see in South African waters. We're finding these zooplankton already, 301 00:15:57,560 --> 00:15:59,760 Speaker 5: So that is kind of a prediction of what we 302 00:15:59,800 --> 00:16:03,760 Speaker 5: made see later on HEAs our watch is warmer. Our 303 00:16:03,800 --> 00:16:06,400 Speaker 5: adults that are normally used to much much warmer water 304 00:16:06,480 --> 00:16:09,160 Speaker 5: closer to the equator, that we're going to start seeing 305 00:16:09,400 --> 00:16:14,000 Speaker 5: lower down because the water is warming like that, moving 306 00:16:14,040 --> 00:16:17,040 Speaker 5: to two areas where yeah, where the water is what 307 00:16:17,120 --> 00:16:17,560 Speaker 5: they like. 308 00:16:17,800 --> 00:16:21,640 Speaker 4: I love the way that science operates like this, and 309 00:16:21,680 --> 00:16:24,440 Speaker 4: then we can start then they start to model stuff 310 00:16:24,760 --> 00:16:27,560 Speaker 4: and then look at reality versus the model, you know, 311 00:16:27,680 --> 00:16:30,840 Speaker 4: and to me that that becomes really interesting. Wow, that's 312 00:16:31,000 --> 00:16:33,920 Speaker 4: a very different world the last and a very quick one. 313 00:16:34,400 --> 00:16:37,280 Speaker 4: Can you keep them alive and grow them in labs 314 00:16:37,760 --> 00:16:41,800 Speaker 4: or zoo or aquarium, et cetera, or they're only one ocean? 315 00:16:42,840 --> 00:16:46,400 Speaker 5: Definitely, So even though I'm based at the Oceanographic Research 316 00:16:46,480 --> 00:16:50,680 Speaker 5: Institute to be part of Sambra and Samba's other part 317 00:16:50,720 --> 00:16:54,080 Speaker 5: of it is your uShaka Marine World, SeaWorld aquarium, right 318 00:16:54,600 --> 00:16:58,160 Speaker 5: and they currently do that where you can take your 319 00:16:58,160 --> 00:17:01,080 Speaker 5: little zooplankton and you can grow them for like an 320 00:17:01,160 --> 00:17:04,760 Speaker 5: exhibiting an aquarium, so you can keep them alive. But 321 00:17:04,880 --> 00:17:08,000 Speaker 5: the way that we collect them and why we have 322 00:17:08,080 --> 00:17:09,600 Speaker 5: to kill them obviously it's because we don't want to 323 00:17:09,640 --> 00:17:12,800 Speaker 5: keep them alive. And also if they die in the seawater, 324 00:17:12,880 --> 00:17:16,480 Speaker 5: the DNA would degrade. But should you collect live samples, 325 00:17:16,480 --> 00:17:18,920 Speaker 5: you keep them in your seawater and then you can 326 00:17:19,119 --> 00:17:22,120 Speaker 5: transfer them to a tank and grow them out if 327 00:17:22,160 --> 00:17:23,600 Speaker 5: you have optimal conditions. 328 00:17:23,680 --> 00:17:25,840 Speaker 1: Yeah, Googs is busy thinking about a. 329 00:17:25,840 --> 00:17:30,800 Speaker 3: Pitch, so but please don't do that, doctor Governdor. 330 00:17:30,840 --> 00:17:32,480 Speaker 2: I thank you so much for giving us your time 331 00:17:32,520 --> 00:17:34,640 Speaker 2: this morning. A great pleasure having you on the show. 332 00:17:35,800 --> 00:17:37,320 Speaker 5: Thank you so much. Thank you for having me. 333 00:17:37,440 --> 00:17:38,240 Speaker 3: Thank you very much. 334 00:17:38,359 --> 00:17:43,040 Speaker 2: That is doctor Ashwini Governor. She is a molecular ecologist 335 00:17:43,119 --> 00:17:47,680 Speaker 2: and scientist at the Oceanographic Research Institute. Tim has always 336 00:17:47,680 --> 00:17:50,520 Speaker 2: great to have you in studio as well. 337 00:17:50,760 --> 00:17:52,760 Speaker 4: Thank you kindly. I'm now going to go and find 338 00:17:52,800 --> 00:17:55,200 Speaker 4: my frog your from and see if it's related to 339 00:17:55,240 --> 00:17:55,959 Speaker 4: a zooplankton. 340 00:17:57,520 --> 00:18:01,359 Speaker 2: That's our residency is certain nature conservation. Tim neary coming 341 00:18:01,440 --> 00:18:04,000 Speaker 2: up and look at what's making headlines in your Sunday papers. 342 00:18:04,280 --> 00:18:07,480 Speaker 2: But first, it's seven o'clock time. Fair latest Eyewitness News