1 00:00:04,360 --> 00:00:08,560 Speaker 1: Ruby. 2 00:00:09,640 --> 00:00:10,760 Speaker 2: Hi, I'm Rick Schwartz. 3 00:00:10,800 --> 00:00:12,440 Speaker 1: What is the s the world? A MARKA. Wentz. 4 00:00:12,520 --> 00:00:15,280 Speaker 2: Welcome to Amazing Wildlife, where we explore unique stories of 5 00:00:15,320 --> 00:00:18,919 Speaker 2: wildlife from around the world and uncover fascinating animal facts. 6 00:00:19,200 --> 00:00:22,680 Speaker 2: This podcast is in production with iHeartRadio's Ruby Studio and 7 00:00:22,760 --> 00:00:26,920 Speaker 2: San Diego Zoo Wildlife Alliance and international nonprofit conservation organization 8 00:00:27,120 --> 00:00:29,280 Speaker 2: which oversees the San Diego Zoo and kind of a 9 00:00:29,280 --> 00:00:31,160 Speaker 2: corner where we are now in the Safari Park. 10 00:00:32,560 --> 00:00:35,120 Speaker 3: I was getting distracted. He retired in direction I would do. 11 00:00:35,159 --> 00:00:36,720 Speaker 3: It's a very long series of words. We're in a 12 00:00:36,720 --> 00:00:38,640 Speaker 3: really unique spot, but you know, it reminds me of 13 00:00:38,640 --> 00:00:39,640 Speaker 3: our last episode. 14 00:00:39,680 --> 00:00:41,400 Speaker 1: We learned a lot about education, right. 15 00:00:41,440 --> 00:00:43,239 Speaker 3: I had no idea we had so many programs not 16 00:00:43,320 --> 00:00:45,760 Speaker 3: only here at the Safari Park but also. 17 00:00:45,600 --> 00:00:46,560 Speaker 1: At the San Diego Zoo. 18 00:00:46,560 --> 00:00:49,360 Speaker 3: But there was another location that I forgot all about, the. 19 00:00:49,920 --> 00:00:53,040 Speaker 2: Conservation Corps which is based out of this area right here, 20 00:00:53,159 --> 00:00:54,800 Speaker 2: but they cover all sorts of things all over the 21 00:00:54,880 --> 00:00:57,200 Speaker 2: s FRII Park. But we are in the science hub 22 00:00:57,680 --> 00:00:59,920 Speaker 2: of the entire San Diego Zoo Wildlife Allion. 23 00:01:00,040 --> 00:01:02,160 Speaker 3: Percent and for our listeners, we're in the courtyard right now, 24 00:01:02,200 --> 00:01:03,560 Speaker 3: So you might hear a little bit of the waterfall 25 00:01:03,600 --> 00:01:04,760 Speaker 3: going on a beautiful fountain. 26 00:01:04,880 --> 00:01:06,880 Speaker 1: And to your point, there's a lot of stuff going 27 00:01:06,920 --> 00:01:07,360 Speaker 1: on here. 28 00:01:07,560 --> 00:01:10,880 Speaker 3: We hinted about something even the last episode of last season, 29 00:01:11,000 --> 00:01:12,440 Speaker 3: right about the Frozen Zoo. 30 00:01:12,520 --> 00:01:15,680 Speaker 2: Yes, we've mentioned it before and again this year, twenty 31 00:01:15,720 --> 00:01:18,280 Speaker 2: twenty five is the fiftieth anniversary of the Frozen Zoo, 32 00:01:18,760 --> 00:01:21,480 Speaker 2: and we learned from previous interviews it was sort of 33 00:01:21,480 --> 00:01:23,360 Speaker 2: a well, we should do this because it seems important. 34 00:01:23,400 --> 00:01:26,120 Speaker 2: We're not sure why. We're now starting to see a 35 00:01:26,160 --> 00:01:28,840 Speaker 2: lot of sort of for the lack of a better term, 36 00:01:28,920 --> 00:01:32,119 Speaker 2: fruit of all that labor and that curiosity of doctor 37 00:01:32,160 --> 00:01:35,120 Speaker 2: Bernursa doing things. But today we are talking again about 38 00:01:35,120 --> 00:01:37,520 Speaker 2: the Frozen Zoo. But we have a special guest, the 39 00:01:37,560 --> 00:01:41,200 Speaker 2: actual curator of the Frozen Zoo. Why don't you introduce 40 00:01:41,200 --> 00:01:42,920 Speaker 2: yourself with your official title too. 41 00:01:42,920 --> 00:01:45,760 Speaker 4: By the way, Hi, I'm marlus Houck. I'm the curator 42 00:01:45,800 --> 00:01:47,160 Speaker 4: of the Frozen Zoo. 43 00:01:47,840 --> 00:01:50,840 Speaker 2: So in our world where we come from animal care, 44 00:01:51,040 --> 00:01:54,520 Speaker 2: curators looking over the managers and the teams who are 45 00:01:54,520 --> 00:01:57,040 Speaker 2: also then in charge of the animals, and they're also 46 00:01:57,240 --> 00:01:59,440 Speaker 2: looking at well, what animals do we have here? And 47 00:01:59,480 --> 00:02:03,440 Speaker 2: there working with other zoological facilities and conservation organizations, and 48 00:02:03,800 --> 00:02:10,200 Speaker 2: there's this big overseeing view of the population of animals, birds, mammals, reptiles, 49 00:02:10,200 --> 00:02:12,679 Speaker 2: all of it. Even plants. There's plant curators. What does 50 00:02:12,720 --> 00:02:14,600 Speaker 2: the curator of the frozen Zoo do. 51 00:02:15,440 --> 00:02:18,800 Speaker 4: It's actually pretty similar to what you just describe, except 52 00:02:18,919 --> 00:02:21,120 Speaker 4: our animals or our little things. 53 00:02:21,120 --> 00:02:22,639 Speaker 5: We're taking care of our cells. 54 00:02:23,160 --> 00:02:25,239 Speaker 1: Oh okay, it's slightly different. 55 00:02:25,120 --> 00:02:28,720 Speaker 4: Slightly different, but we're care taking them. They're alive, they're living, 56 00:02:28,760 --> 00:02:32,480 Speaker 4: they're growing, they're dividing cells, and the technicians have to 57 00:02:32,520 --> 00:02:35,040 Speaker 4: grow them for a number of weeks before they can 58 00:02:35,080 --> 00:02:36,360 Speaker 4: be added to the Frozen Zoo. 59 00:02:36,720 --> 00:02:37,760 Speaker 5: And same as other. 60 00:02:37,680 --> 00:02:41,280 Speaker 4: Curators, we have to decide what we're bringing into the 61 00:02:41,320 --> 00:02:43,000 Speaker 4: collection and how to manage that. 62 00:02:43,360 --> 00:02:45,560 Speaker 1: Right right me. I actually wanted to go back a 63 00:02:45,600 --> 00:02:46,960 Speaker 1: little bit. You're talking about. 64 00:02:46,720 --> 00:02:49,840 Speaker 3: All the different people involved in the facilitate here at Beckmann, 65 00:02:50,000 --> 00:02:52,079 Speaker 3: but for Frozen Zoo, because I'm sometimes they may be 66 00:02:52,160 --> 00:02:53,800 Speaker 3: listeners have no idea. 67 00:02:53,440 --> 00:02:53,880 Speaker 2: What it is. 68 00:02:53,919 --> 00:02:55,920 Speaker 3: Could you describe it a little bit, especially for all 69 00:02:55,960 --> 00:02:57,840 Speaker 3: the kids that are listening right now, Like, what is 70 00:02:57,880 --> 00:02:58,760 Speaker 3: the frozen Zoo? 71 00:02:58,760 --> 00:03:01,320 Speaker 1: And it's here at the Safari Park, but it's not really. 72 00:03:01,120 --> 00:03:03,760 Speaker 3: Like going and checking out the gorillas or maybe a 73 00:03:03,840 --> 00:03:04,520 Speaker 3: cassow area. 74 00:03:04,560 --> 00:03:06,720 Speaker 1: Right, it's a little bit different. So what is it exactly? 75 00:03:07,200 --> 00:03:10,280 Speaker 4: You're exactly right, it's really different, and people shouldn't feel 76 00:03:10,520 --> 00:03:12,160 Speaker 4: surprised that they don't know about it. 77 00:03:12,160 --> 00:03:14,639 Speaker 5: It's amazing. It's been around fifty years and it's here 78 00:03:14,639 --> 00:03:15,600 Speaker 5: at the park, right, and it's. 79 00:03:15,440 --> 00:03:17,560 Speaker 4: Here in San Diego at the Safari Park, and very 80 00:03:17,600 --> 00:03:19,960 Speaker 4: few people know about it, even though it's been around 81 00:03:19,960 --> 00:03:20,760 Speaker 4: fifty years. 82 00:03:20,960 --> 00:03:23,720 Speaker 5: But yes, it's the largest collection of its kind. 83 00:03:23,800 --> 00:03:26,400 Speaker 4: So we have skin cells and gam meat and more 84 00:03:26,440 --> 00:03:30,280 Speaker 4: recently stem cells, and also the first plant in the 85 00:03:30,280 --> 00:03:34,280 Speaker 4: frozen Zoo. They're all frozen in a living state. They're 86 00:03:34,360 --> 00:03:37,000 Speaker 4: kind of in like a suspended animation. We put them 87 00:03:37,000 --> 00:03:39,120 Speaker 4: in there. They can stay there for years, and then 88 00:03:39,160 --> 00:03:42,000 Speaker 4: we could also pull out a vial of the skin 89 00:03:42,040 --> 00:03:44,680 Speaker 4: cells and grow them again and make more, just like 90 00:03:44,680 --> 00:03:47,760 Speaker 4: a plant if you subclone your plant, you know, if 91 00:03:47,800 --> 00:03:49,880 Speaker 4: you take little pieces off the plant and grow more. 92 00:03:49,920 --> 00:03:52,160 Speaker 3: Okay, it's kind of like that, like a succulent or something. 93 00:03:53,320 --> 00:03:55,360 Speaker 2: I do want to say real quick though, when you 94 00:03:55,400 --> 00:03:59,320 Speaker 2: say frozen zoo and there's suspended animation, because It's not 95 00:03:59,400 --> 00:04:01,680 Speaker 2: just like putting something in your freezer at home. Right, 96 00:04:01,840 --> 00:04:05,040 Speaker 2: The temperatures and the process is very different, which we'll 97 00:04:05,040 --> 00:04:07,360 Speaker 2: get into all those details in a bit, but I 98 00:04:07,400 --> 00:04:08,600 Speaker 2: just want to make sure we do put that in 99 00:04:08,640 --> 00:04:10,680 Speaker 2: our mind. As far as the frozen Zoo keeps things 100 00:04:10,680 --> 00:04:11,400 Speaker 2: at a temperature of. 101 00:04:11,360 --> 00:04:15,680 Speaker 4: Around minus three hundred and twenty degrees faring, that's just. 102 00:04:15,640 --> 00:04:18,960 Speaker 2: A little bit cold. Colder anywhere else on the planet, 103 00:04:19,000 --> 00:04:21,640 Speaker 2: I would assayd that's about minus three hundred. 104 00:04:21,920 --> 00:04:23,960 Speaker 1: Why why does it have to be so cold? 105 00:04:24,400 --> 00:04:27,480 Speaker 4: Well, as cells sit around, if they're not kept frozen, 106 00:04:27,640 --> 00:04:30,480 Speaker 4: very very very cold, the DNA will begin to degrade, 107 00:04:30,720 --> 00:04:33,560 Speaker 4: so they would deteriorate over time, and we need them 108 00:04:33,600 --> 00:04:36,800 Speaker 4: to be living and vital, as vital as they were 109 00:04:36,800 --> 00:04:38,960 Speaker 4: when we put them in there. Wow, so this kind 110 00:04:39,000 --> 00:04:40,480 Speaker 4: of stops their metabolism. 111 00:04:40,720 --> 00:04:42,680 Speaker 3: It reminds me like a sci fi movie for me, 112 00:04:42,800 --> 00:04:45,480 Speaker 3: but actual science fact. 113 00:04:45,600 --> 00:04:45,760 Speaker 4: Yeah. 114 00:04:45,800 --> 00:04:48,560 Speaker 3: And then yeah, earlier, I mean you were talking plants, 115 00:04:48,600 --> 00:04:50,160 Speaker 3: you were talking gam meats as well. 116 00:04:50,240 --> 00:04:50,440 Speaker 4: You know. 117 00:04:50,480 --> 00:04:52,400 Speaker 3: It makes me think of like working at the Safari 118 00:04:52,400 --> 00:04:53,600 Speaker 3: Park as an example, this the. 119 00:04:53,520 --> 00:04:56,600 Speaker 1: Bird department, mammals or just a hord of culture. So 120 00:04:56,839 --> 00:04:57,560 Speaker 1: is it kind of like that. 121 00:04:57,640 --> 00:05:00,560 Speaker 3: You have different teams at the Frozen Zoo that focused 122 00:05:00,600 --> 00:05:03,039 Speaker 3: on different things, right, there's different specialties. 123 00:05:03,120 --> 00:05:06,200 Speaker 4: So the team that freezes the skin cells, we don't 124 00:05:06,200 --> 00:05:09,679 Speaker 4: know how to freeze Gammy. It's an entirely different animal 125 00:05:09,760 --> 00:05:13,200 Speaker 4: so to speak. Yeah, plants are entirely different from that. 126 00:05:13,320 --> 00:05:16,039 Speaker 4: We have a stem cell team. They take the skin 127 00:05:16,120 --> 00:05:19,320 Speaker 4: cells and they reprogram them into stem cells and then 128 00:05:19,360 --> 00:05:20,680 Speaker 4: those are added to the frozen. 129 00:05:22,200 --> 00:05:23,080 Speaker 2: Back it up a little bit. 130 00:05:23,279 --> 00:05:26,480 Speaker 3: So this might be silly questions, but I need can 131 00:05:26,480 --> 00:05:27,600 Speaker 3: you describe Gammy? 132 00:05:27,720 --> 00:05:30,000 Speaker 1: What is that exactly? For people who don't know. 133 00:05:30,279 --> 00:05:31,000 Speaker 5: Right, good question. 134 00:05:31,120 --> 00:05:34,200 Speaker 4: Gam Meats are sperm and eggs, the material that creates 135 00:05:34,240 --> 00:05:35,200 Speaker 4: a new life. 136 00:05:35,560 --> 00:05:37,719 Speaker 2: And your team that you work a lot with is 137 00:05:37,960 --> 00:05:38,880 Speaker 2: working with skin cell. 138 00:05:39,000 --> 00:05:40,799 Speaker 5: You said, my team works with skin cells. 139 00:05:40,800 --> 00:05:43,520 Speaker 4: And that's what doctor Banershka, who started the Frozen Zoo 140 00:05:43,600 --> 00:05:46,400 Speaker 4: fifty years ago, he started with the skin cells. 141 00:05:46,600 --> 00:05:48,919 Speaker 5: You know how with the zoo they say it began 142 00:05:49,000 --> 00:05:49,479 Speaker 5: with a roar. 143 00:05:49,680 --> 00:05:52,400 Speaker 2: Yeah, Grex the lions. 144 00:05:52,400 --> 00:05:54,880 Speaker 4: You're right, the Frozen Zoo, I like to say it 145 00:05:54,920 --> 00:05:58,320 Speaker 4: began with a cell. It's and it was a skin cell, 146 00:05:58,440 --> 00:06:01,400 Speaker 4: but later came sperm and egg, later came stem cells, 147 00:06:01,400 --> 00:06:04,040 Speaker 4: and now just this year plants plants. 148 00:06:03,880 --> 00:06:07,279 Speaker 2: And we talked last season about the oak trees, right 149 00:06:07,360 --> 00:06:09,159 Speaker 2: and why it was so different and unique to finally 150 00:06:09,160 --> 00:06:12,400 Speaker 2: have plants in the system as well for the frozen Zoo. 151 00:06:12,480 --> 00:06:14,640 Speaker 2: So that's cool that, I mean, the connection from that 152 00:06:14,680 --> 00:06:17,080 Speaker 2: conversation we had with Christy last season about the oak tree. 153 00:06:17,720 --> 00:06:20,000 Speaker 3: But also I'm wondering, like why skin cell, you know, like, 154 00:06:20,080 --> 00:06:22,159 Speaker 3: of all the body parts of an animal, Like why 155 00:06:22,200 --> 00:06:22,800 Speaker 3: start with that. 156 00:06:23,240 --> 00:06:25,880 Speaker 4: Yeah, that's a great question, and really we can use 157 00:06:25,920 --> 00:06:29,200 Speaker 4: other parts. Most of the samples are collected after the 158 00:06:29,240 --> 00:06:32,800 Speaker 4: animal dies post mortem. Oh okay, so it can be skin. 159 00:06:33,120 --> 00:06:35,040 Speaker 5: For birds, we prefer eye and trachea. 160 00:06:35,720 --> 00:06:39,400 Speaker 4: For amphibians, we like foot or tongue, parts of the 161 00:06:39,400 --> 00:06:41,800 Speaker 4: body that have to regenerate the cells quickly. 162 00:06:42,120 --> 00:06:46,280 Speaker 2: Oh, so they're more apt to regenerate for you in 163 00:06:46,320 --> 00:06:47,680 Speaker 2: the lab there exactly. 164 00:06:48,320 --> 00:06:51,200 Speaker 3: I I just learned that today. I'm learning a lot today, 165 00:06:51,200 --> 00:06:53,039 Speaker 3: by the way. That's interesting. They have to be so 166 00:06:53,120 --> 00:06:54,239 Speaker 3: specific on the animal. 167 00:06:54,400 --> 00:06:57,360 Speaker 4: And the fancy word for skin cell is fiberblast, and 168 00:06:57,400 --> 00:06:59,880 Speaker 4: so really what we're getting out of any of the 169 00:07:00,160 --> 00:07:04,080 Speaker 4: tissues eye, trachia, foot, tongue, skin is fiberglast cells. 170 00:07:04,600 --> 00:07:07,279 Speaker 2: I'm guessing that over the fifty years, it wasn't just 171 00:07:07,320 --> 00:07:09,080 Speaker 2: like we know exactly what kind of cells are best. 172 00:07:09,320 --> 00:07:11,240 Speaker 2: A lot of trial and error throughout this process over 173 00:07:11,280 --> 00:07:13,800 Speaker 2: the fifty years to find out that for the reptiles 174 00:07:13,840 --> 00:07:15,880 Speaker 2: it's foot and tongue, for the birds, trachia, eye, for 175 00:07:16,080 --> 00:07:18,440 Speaker 2: mammals skin, I would assume. 176 00:07:18,160 --> 00:07:20,760 Speaker 4: Correct, exactly. That's what my team is doing. Every day. 177 00:07:20,840 --> 00:07:24,840 Speaker 4: They're working with sometimes new species. Sometimes we're adding new 178 00:07:24,840 --> 00:07:28,440 Speaker 4: species to the Frozen Zoo every week, and so we're 179 00:07:28,480 --> 00:07:29,200 Speaker 4: learning new things. 180 00:07:29,200 --> 00:07:30,520 Speaker 5: It began only. 181 00:07:30,240 --> 00:07:33,680 Speaker 4: With mammals, starting with mammals, just mammals, because you can 182 00:07:33,720 --> 00:07:36,840 Speaker 4: imagine first techniques were worked out on humans, right, and 183 00:07:36,880 --> 00:07:39,640 Speaker 4: then so when doctor Banershka came along, he said, you know, 184 00:07:39,880 --> 00:07:43,240 Speaker 4: this is a new technology. We can do it for animals. 185 00:07:43,480 --> 00:07:48,320 Speaker 4: And when the animals die, we have the pathology department 186 00:07:48,400 --> 00:07:51,480 Speaker 4: right here. It's easy to go collect a biopsy and 187 00:07:51,520 --> 00:07:54,680 Speaker 4: culture the cells. And we learned a lot how to 188 00:07:54,760 --> 00:07:57,280 Speaker 4: do it. And then it was years later that we 189 00:07:57,360 --> 00:08:01,360 Speaker 4: started adding bird cells and then find reptiles and most 190 00:08:01,360 --> 00:08:02,480 Speaker 4: recently amphibians. 191 00:08:02,600 --> 00:08:03,480 Speaker 1: Wow, that's amazing. 192 00:08:03,480 --> 00:08:06,480 Speaker 3: And earlier you were saying it's the largest amount of 193 00:08:06,520 --> 00:08:08,800 Speaker 3: genetic materials, that's the way to phrase it in the world. 194 00:08:09,160 --> 00:08:11,960 Speaker 4: What's special about this collection again is that it's living cells, 195 00:08:11,960 --> 00:08:15,239 Speaker 4: and so this is the largest living cell and gammy 196 00:08:15,800 --> 00:08:18,200 Speaker 4: collection anywhere in the world right now, we have over 197 00:08:18,240 --> 00:08:23,720 Speaker 4: eleven five hundred individuals and about thirteen hundred species and subspecies. 198 00:08:23,880 --> 00:08:26,560 Speaker 4: And to put that in perspective, and you guys have 199 00:08:26,640 --> 00:08:28,280 Speaker 4: seen the room. We're not in the room, but it's 200 00:08:28,320 --> 00:08:31,360 Speaker 4: a pretty small room. Yeah right, Yeah, and it actually 201 00:08:31,400 --> 00:08:34,680 Speaker 4: holds nearly twice the number of animals that are at 202 00:08:34,720 --> 00:08:38,920 Speaker 4: the zoo and the Safari Park combined, combine, because we're 203 00:08:38,960 --> 00:08:41,520 Speaker 4: just storing little vials of cells, and so we can 204 00:08:41,600 --> 00:08:45,520 Speaker 4: really put a lot of material in there, which, as 205 00:08:45,720 --> 00:08:48,400 Speaker 4: people have probably heard in other podcasts, that stores all 206 00:08:48,440 --> 00:08:51,200 Speaker 4: this genetic diversity of all these animals that have passed on. 207 00:08:51,480 --> 00:08:53,120 Speaker 1: Yeah, she said that word again. 208 00:08:55,320 --> 00:08:57,320 Speaker 3: And I was listening to the last episode of last 209 00:08:57,320 --> 00:08:59,600 Speaker 3: season with doctor Oliver Wrder, you know, and it reminded 210 00:08:59,600 --> 00:09:00,080 Speaker 3: me of that. 211 00:09:00,080 --> 00:09:01,120 Speaker 1: And he's kind of stressed. 212 00:09:01,160 --> 00:09:02,640 Speaker 3: Like back in the day, you know, the idea of 213 00:09:02,760 --> 00:09:06,400 Speaker 3: like genetic diversity wasn't really like a common thought process. 214 00:09:06,480 --> 00:09:08,760 Speaker 1: You know, maybe we used. 215 00:09:08,480 --> 00:09:11,000 Speaker 3: Relatives a little closer depending on the species, to try 216 00:09:11,000 --> 00:09:13,120 Speaker 3: to reproduce and to help out with those numbers. But 217 00:09:13,160 --> 00:09:15,120 Speaker 3: there were some genetic issues that were happening, and it 218 00:09:15,160 --> 00:09:17,679 Speaker 3: was that contup woide diversity is so important kind of 219 00:09:17,679 --> 00:09:19,920 Speaker 3: the main reason why we have this, wouldn't you say, 220 00:09:19,920 --> 00:09:22,520 Speaker 3: I mean to keep that diversity of genetic material for 221 00:09:22,600 --> 00:09:23,320 Speaker 3: different species. 222 00:09:23,360 --> 00:09:23,880 Speaker 1: Is that an. 223 00:09:23,720 --> 00:09:24,840 Speaker 5: Idea one of the reasons. 224 00:09:24,840 --> 00:09:27,920 Speaker 4: It's really it's so vast the uses for this, it's 225 00:09:28,040 --> 00:09:28,960 Speaker 4: kind of mind blowing. 226 00:09:29,040 --> 00:09:29,480 Speaker 2: Yeah. 227 00:09:29,520 --> 00:09:32,240 Speaker 4: Back to some of the other podcasts, you learned that 228 00:09:32,400 --> 00:09:33,840 Speaker 4: he started it for chromosomes. 229 00:09:33,920 --> 00:09:34,120 Speaker 1: Yeah. 230 00:09:34,280 --> 00:09:35,760 Speaker 2: Yeah, so doctor. 231 00:09:35,520 --> 00:09:38,760 Speaker 4: Bernershka's first thought was to study the chromosomes of these cells. 232 00:09:38,760 --> 00:09:41,520 Speaker 4: You need living dividing cells to study the chromosomes. They 233 00:09:41,559 --> 00:09:44,520 Speaker 4: were learning so much. They were finding that there were 234 00:09:44,800 --> 00:09:47,960 Speaker 4: animals the munchak had six or seven chromosomes, depending if 235 00:09:47,960 --> 00:09:48,880 Speaker 4: you're male or female. 236 00:09:49,000 --> 00:09:50,560 Speaker 2: Oh that's right, Yeah, why did you know that? 237 00:09:50,640 --> 00:09:50,880 Speaker 1: Wow? 238 00:09:51,080 --> 00:09:53,680 Speaker 4: And then another one that was similar, that looked almost 239 00:09:53,720 --> 00:09:57,520 Speaker 4: the same. It had forty six chromosomes. And the rhino 240 00:09:58,000 --> 00:10:00,600 Speaker 4: chromosome number wasn't known at the time, right, which is 241 00:10:00,600 --> 00:10:03,439 Speaker 4: a really high number, eighty two or eighty four depending. 242 00:10:03,000 --> 00:10:03,680 Speaker 5: On the species. 243 00:10:03,720 --> 00:10:07,560 Speaker 3: I remember horses, cheap domestic horse versus the two or 244 00:10:07,559 --> 00:10:09,800 Speaker 3: three chroma that was wild. 245 00:10:10,040 --> 00:10:11,280 Speaker 5: Right, And back to the mule. 246 00:10:11,360 --> 00:10:12,560 Speaker 4: You know, how do you get a mule while it 247 00:10:12,720 --> 00:10:15,120 Speaker 4: is a donkey cross with a horse and that creates 248 00:10:15,160 --> 00:10:17,480 Speaker 4: a mule which is infertiles. So it's partly for the 249 00:10:17,559 --> 00:10:23,040 Speaker 4: curiosity and understanding, but it's also avoiding mistakes like hybrids. 250 00:10:23,080 --> 00:10:24,440 Speaker 4: You know, what do we need to know about this 251 00:10:24,520 --> 00:10:27,640 Speaker 4: animal to help it thrive in the future. Well, we 252 00:10:27,760 --> 00:10:31,640 Speaker 4: definitely don't want to cross breed different species, and sometimes 253 00:10:31,840 --> 00:10:33,840 Speaker 4: they look alike and the only way to tell the 254 00:10:33,880 --> 00:10:35,319 Speaker 4: difference is through their chromosomes. 255 00:10:35,400 --> 00:10:38,240 Speaker 2: Yeah. Wow, Well, I want to jump back in time. 256 00:10:38,320 --> 00:10:39,960 Speaker 2: We've covered a lot so far sort of as an 257 00:10:40,000 --> 00:10:41,800 Speaker 2: intro to all this, and there's other stuff we're going 258 00:10:41,800 --> 00:10:44,360 Speaker 2: to dive into more like how things are stored. We're 259 00:10:44,400 --> 00:10:46,680 Speaker 2: gonna look at the vials and all that stuff. But 260 00:10:46,920 --> 00:10:49,760 Speaker 2: I want to hear obviously, I mean, our listeners can 261 00:10:49,800 --> 00:10:52,400 Speaker 2: figure this out. You know a lot about the Frozen 262 00:10:52,480 --> 00:10:55,800 Speaker 2: Zoo because you have a rich history here along the 263 00:10:55,800 --> 00:10:58,480 Speaker 2: fifty years of the Frozen Zoo. When did you first 264 00:10:58,480 --> 00:11:01,640 Speaker 2: start and what was your first position here or even 265 00:11:01,720 --> 00:11:04,120 Speaker 2: a not official position from what I understand, right, it 266 00:11:04,160 --> 00:11:07,440 Speaker 2: was more of a college situation. 267 00:11:08,240 --> 00:11:08,440 Speaker 5: Right. 268 00:11:08,480 --> 00:11:11,920 Speaker 4: It was nineteen eighty seven and I was hired on 269 00:11:11,920 --> 00:11:14,800 Speaker 4: a one year grant. I was working in biotech here 270 00:11:14,800 --> 00:11:17,360 Speaker 4: in San Diego. It was a hub for biotechnology, and 271 00:11:17,480 --> 00:11:20,480 Speaker 4: I actually going to even further back, I actually started 272 00:11:21,000 --> 00:11:24,400 Speaker 4: in human cytogenetics, that means cell genetics. So I was 273 00:11:24,440 --> 00:11:28,280 Speaker 4: studying human chromosomes because I got interested in it in 274 00:11:28,360 --> 00:11:30,640 Speaker 4: high school from my high school teacher. 275 00:11:31,440 --> 00:11:33,360 Speaker 2: High school high school science. 276 00:11:34,480 --> 00:11:35,800 Speaker 5: I thought it was the best thing ever. 277 00:11:36,000 --> 00:11:39,280 Speaker 4: And I didn't really realize I would have well, certainly 278 00:11:39,280 --> 00:11:41,640 Speaker 4: not this career, but I knew there was a career 279 00:11:41,640 --> 00:11:45,720 Speaker 4: in studying human chromosomes. So anyway, I had to divert 280 00:11:46,000 --> 00:11:48,880 Speaker 4: to a biotech for a little. While I was studying cancer, 281 00:11:48,920 --> 00:11:52,000 Speaker 4: we were looking for cures for cancer, and it involved 282 00:11:52,080 --> 00:11:54,960 Speaker 4: looking at cells that had both mouse and human chromosomes 283 00:11:55,480 --> 00:11:59,000 Speaker 4: in a way to understand how the cancer was working. 284 00:12:00,080 --> 00:12:02,959 Speaker 4: So that was my experience. But I only knew human 285 00:12:03,040 --> 00:12:05,960 Speaker 4: chromosomes and I didn't know mouse chromosomes. And I thought, well, 286 00:12:06,000 --> 00:12:09,560 Speaker 4: I know there's a genetic lab here in San Diego 287 00:12:09,559 --> 00:12:11,560 Speaker 4: at the Zoo. I knew about it because even back 288 00:12:11,559 --> 00:12:14,000 Speaker 4: then in my world it was sort of famous. 289 00:12:14,280 --> 00:12:15,280 Speaker 1: Oh, it was already. 290 00:12:15,280 --> 00:12:17,280 Speaker 3: It's a it's running around this guy at the Sandy 291 00:12:17,480 --> 00:12:20,000 Speaker 3: the Safari Park doing something with creators out there, right because. 292 00:12:19,840 --> 00:12:21,480 Speaker 5: It was chromosomes. Not everybody knew about it. 293 00:12:21,520 --> 00:12:21,760 Speaker 2: But in the. 294 00:12:21,800 --> 00:12:26,880 Speaker 4: Chromosome world, like, wow, they do animal, I mean, how 295 00:12:26,920 --> 00:12:29,679 Speaker 4: do you do other mammals other than human? And I thought, well, 296 00:12:29,720 --> 00:12:32,440 Speaker 4: they'll teach me. Maybe I can go volunteer there. I 297 00:12:32,480 --> 00:12:34,640 Speaker 4: hope that my knowledge, maybe I could help them and 298 00:12:34,679 --> 00:12:36,760 Speaker 4: they'll teach me mouse so that I can understand what 299 00:12:36,800 --> 00:12:40,960 Speaker 4: I'm doing with my chromosomes in the cancer studies. So 300 00:12:41,000 --> 00:12:43,240 Speaker 4: I came for this interview and it was the hardest 301 00:12:43,280 --> 00:12:46,160 Speaker 4: interview of my life. I thought I was interviewing for 302 00:12:46,280 --> 00:12:48,840 Speaker 4: a volunteer job. And at the end of it they 303 00:12:48,920 --> 00:12:52,920 Speaker 4: offered me a job, a one year grant, big pay cut. 304 00:12:53,280 --> 00:12:55,720 Speaker 4: Was I willing to do that? The goal was my 305 00:12:56,000 --> 00:12:59,040 Speaker 4: job would be my mission, should I choose to accept it, 306 00:12:59,120 --> 00:13:03,040 Speaker 4: was to figure out why rhinos cells don't grow very 307 00:13:03,080 --> 00:13:06,040 Speaker 4: well and figure out the chromosome number of some of 308 00:13:06,040 --> 00:13:09,200 Speaker 4: the rhinos. Nobody knew the chromosome number of Sumatran rhinos, 309 00:13:09,240 --> 00:13:10,959 Speaker 4: and they couldn't figure it out if they couldn't get 310 00:13:11,000 --> 00:13:13,880 Speaker 4: cells to grow better, So, you know, do I. 311 00:13:13,840 --> 00:13:14,920 Speaker 5: Want to just drop? 312 00:13:16,679 --> 00:13:19,319 Speaker 2: Also jumping into rhino, but yeah. 313 00:13:19,200 --> 00:13:20,160 Speaker 5: Drop a great job. 314 00:13:20,240 --> 00:13:24,040 Speaker 4: I was young and I said absolutely, of course I 315 00:13:24,080 --> 00:13:24,640 Speaker 4: want to do that. 316 00:13:25,480 --> 00:13:27,240 Speaker 5: And so that was about thirty eight years ago. 317 00:13:27,679 --> 00:13:31,200 Speaker 4: So what I was was just basically a technician, and 318 00:13:31,240 --> 00:13:35,440 Speaker 4: I was working under Arlene Kumamoto, who doctor Banershka and 319 00:13:35,640 --> 00:13:40,040 Speaker 4: Arlene had come from UCSD together when he started the 320 00:13:40,040 --> 00:13:42,760 Speaker 4: Frozen Zoo. She was the first technician and the first 321 00:13:42,800 --> 00:13:45,200 Speaker 4: curator of the Frozen Zoo, and I'm the second curator 322 00:13:45,240 --> 00:13:46,800 Speaker 4: of the zoo in fifty years. 323 00:13:47,000 --> 00:13:52,080 Speaker 2: Well, so in that time of you starting there, Arlene's 324 00:13:52,120 --> 00:13:54,760 Speaker 2: the curator. You're on a team of only a few 325 00:13:54,800 --> 00:13:54,960 Speaker 2: of you. 326 00:13:55,040 --> 00:13:58,040 Speaker 4: Right, was the only technician because she was technically a 327 00:13:58,120 --> 00:14:01,000 Speaker 4: higher position than that, and it was to permanent position. 328 00:14:01,160 --> 00:14:03,880 Speaker 4: So there really was no permanent technician at the time. 329 00:14:04,000 --> 00:14:06,160 Speaker 2: So when your grant was over, what happened? 330 00:14:06,400 --> 00:14:08,800 Speaker 5: They somehow found some money and said can we kind 331 00:14:08,800 --> 00:14:10,920 Speaker 5: of hang out? Well, we try to find money, and 332 00:14:10,960 --> 00:14:14,480 Speaker 5: I'm sure it was so fun. It was just amazing. 333 00:14:15,360 --> 00:14:18,480 Speaker 4: I've been here ever since. And then Arlene died suddenly 334 00:14:18,559 --> 00:14:19,720 Speaker 4: and tragically of cancer. 335 00:14:19,920 --> 00:14:21,560 Speaker 5: And so it was a rapid shift. 336 00:14:21,600 --> 00:14:23,720 Speaker 4: I was with her fifteen years and I didn't learn 337 00:14:23,840 --> 00:14:26,880 Speaker 4: enough from her in those fifteen years, but my background 338 00:14:26,960 --> 00:14:30,760 Speaker 4: helped a lot. Now we're teaching it to the next generation. 339 00:14:31,000 --> 00:14:35,480 Speaker 4: And so what doctor Banershka taught Arlene taught me and 340 00:14:35,520 --> 00:14:38,680 Speaker 4: on to the next generation. And so it's this, it's 341 00:14:38,680 --> 00:14:40,720 Speaker 4: not really anything you can go to school for. It's 342 00:14:40,760 --> 00:14:43,360 Speaker 4: better learned from somebody who knows how to do it 343 00:14:43,400 --> 00:14:46,840 Speaker 4: at your education level doesn't really matter. It's a new skill. 344 00:14:46,920 --> 00:14:49,400 Speaker 4: Not very many people do this anywhere in the world, right, 345 00:14:49,560 --> 00:14:50,000 Speaker 4: can't just. 346 00:14:49,960 --> 00:14:51,960 Speaker 2: Go get a degree in this sort of thing. So 347 00:14:52,600 --> 00:14:55,000 Speaker 2: few people are doing it, and so few locations to 348 00:14:55,000 --> 00:14:55,360 Speaker 2: do it in. 349 00:14:55,680 --> 00:14:57,120 Speaker 1: Right, what an exciting time. 350 00:14:57,240 --> 00:15:00,240 Speaker 3: Right actually remind me even my background here, I was 351 00:15:00,280 --> 00:15:02,080 Speaker 3: able to work here at a very young age and 352 00:15:02,360 --> 00:15:03,280 Speaker 3: learn a lot on the. 353 00:15:03,280 --> 00:15:04,040 Speaker 1: Job as well. 354 00:15:04,240 --> 00:15:06,320 Speaker 3: And you know, as you're speaking, I'm thinking about like 355 00:15:06,480 --> 00:15:08,240 Speaker 3: what the past looked like for you, now what the 356 00:15:08,280 --> 00:15:09,280 Speaker 3: future looks like for you. 357 00:15:09,320 --> 00:15:10,920 Speaker 1: And again back to that word diversity. 358 00:15:10,960 --> 00:15:13,000 Speaker 3: And you know, at the time when I started younger 359 00:15:13,160 --> 00:15:16,120 Speaker 3: in wildlife care, it was kind of like very male 360 00:15:16,200 --> 00:15:19,080 Speaker 3: centric kind of community. Now, but then we saw more diversity, 361 00:15:19,080 --> 00:15:21,800 Speaker 3: people of color, women, all sorts of people of all 362 00:15:21,800 --> 00:15:24,920 Speaker 3: walks of life coming into these areas. I'm curious, was 363 00:15:24,920 --> 00:15:26,880 Speaker 3: it a similar kind of experience for you. Do you 364 00:15:26,920 --> 00:15:29,520 Speaker 3: see from the past and now what you see as 365 00:15:29,520 --> 00:15:32,160 Speaker 3: for as diversity and representation of people in science? 366 00:15:32,560 --> 00:15:35,360 Speaker 4: Well, you're right, for some reason, there are more women 367 00:15:35,400 --> 00:15:39,000 Speaker 4: in science in general. Oh yeah, at least, well, okay, 368 00:15:39,120 --> 00:15:41,320 Speaker 4: in my world, in the chromosome world, there were a 369 00:15:41,360 --> 00:15:44,520 Speaker 4: lot of women. I think it's a very detailed, fine 370 00:15:44,520 --> 00:15:48,840 Speaker 4: tuned thing with manipulating fingers, very small fingers, and growing cells. 371 00:15:48,840 --> 00:15:51,200 Speaker 4: You grow cells in the human world too. But the 372 00:15:51,240 --> 00:15:55,800 Speaker 4: interesting thing about our group over the fifty years, most 373 00:15:55,960 --> 00:15:58,560 Speaker 4: of the time, I would say ninety percent of the 374 00:15:58,600 --> 00:16:00,000 Speaker 4: people growing sales were women. 375 00:16:00,440 --> 00:16:00,800 Speaker 1: Wow. 376 00:16:00,840 --> 00:16:03,240 Speaker 4: Over the years, and right now the team there's just 377 00:16:03,320 --> 00:16:06,720 Speaker 4: five of us in the skin cell group and all women. 378 00:16:07,000 --> 00:16:09,280 Speaker 4: And then the Gammat team is also all women. 379 00:16:09,960 --> 00:16:12,320 Speaker 1: Yeah, kudos, that's awesome. Now, that's really great. 380 00:16:12,320 --> 00:16:14,240 Speaker 3: It makes me excited because you know, a lot of times, 381 00:16:14,400 --> 00:16:16,360 Speaker 3: back to the last episode, a lot of school groups 382 00:16:16,360 --> 00:16:16,960 Speaker 3: come to Beckman. 383 00:16:17,440 --> 00:16:18,520 Speaker 1: I've been a part of some of them. 384 00:16:18,560 --> 00:16:20,560 Speaker 3: Plant to Seed is another one we bring kids from 385 00:16:20,760 --> 00:16:23,320 Speaker 3: inter city communities, you know, here in San Diego County, 386 00:16:23,360 --> 00:16:25,440 Speaker 3: and I grew up here in Escandieto, and I love 387 00:16:25,520 --> 00:16:28,640 Speaker 3: seeing especially you know, the Latino community and little girls 388 00:16:28,640 --> 00:16:31,400 Speaker 3: particularly can come here and see things that are possible 389 00:16:31,400 --> 00:16:32,520 Speaker 3: for them in the future, you know. 390 00:16:32,560 --> 00:16:35,280 Speaker 1: So I love that we have that offer here at Beckman. 391 00:16:35,400 --> 00:16:37,560 Speaker 4: All right, we've spoken to the Plant to Seed group 392 00:16:37,600 --> 00:16:38,520 Speaker 4: and inspires them. 393 00:16:38,680 --> 00:16:40,720 Speaker 1: It was amazing. No, thank you for that. That's great. 394 00:16:41,040 --> 00:16:43,000 Speaker 3: How excited are you about the work that's being done 395 00:16:43,000 --> 00:16:45,120 Speaker 3: here at Beckman And what do you see in the future. 396 00:16:45,160 --> 00:16:47,240 Speaker 3: I mean, I know that's a really loaded question, but 397 00:16:47,680 --> 00:16:49,560 Speaker 3: there's so much unknown going on in science. 398 00:16:49,560 --> 00:16:52,720 Speaker 4: Wouldn't you say, Oh, there's so much still to be discovered. 399 00:16:52,760 --> 00:16:53,920 Speaker 5: It's exciting all the time. 400 00:16:54,040 --> 00:16:56,080 Speaker 4: When I was in human it was interesting wise in 401 00:16:56,120 --> 00:16:58,040 Speaker 4: the human world we call it, but it was every 402 00:16:58,040 --> 00:17:00,880 Speaker 4: single day, it was forty six chromosome, same individuals. 403 00:17:00,880 --> 00:17:02,600 Speaker 5: Here every single day. 404 00:17:03,080 --> 00:17:06,480 Speaker 4: We're getting different species and we don't know what's coming in. 405 00:17:06,560 --> 00:17:09,200 Speaker 4: We get samples from zoos all around the United States. 406 00:17:09,280 --> 00:17:12,680 Speaker 4: It's more difficult to get samples to us from outside 407 00:17:12,720 --> 00:17:15,160 Speaker 4: of the US because it has to cross borders. There's 408 00:17:15,200 --> 00:17:18,159 Speaker 4: permits if there's any delay the cells start today. We 409 00:17:18,240 --> 00:17:21,159 Speaker 4: have to get everything quickly. Oh okay, okay, but today, 410 00:17:21,200 --> 00:17:24,720 Speaker 4: for example, two of our team members and and Katie 411 00:17:24,800 --> 00:17:27,680 Speaker 4: froze the very first at Water's Prairie chicken. 412 00:17:27,840 --> 00:17:29,520 Speaker 5: Oh really, and that's the news. 413 00:17:30,240 --> 00:17:32,640 Speaker 2: Yeah, that's I mean, I think the word chicken. Most 414 00:17:32,640 --> 00:17:35,960 Speaker 2: people are like a big yell about chicken. But I'm 415 00:17:36,000 --> 00:17:38,760 Speaker 2: just saying, I'm just saying, that's an a dangerous species. 416 00:17:38,760 --> 00:17:40,440 Speaker 2: That's really important. 417 00:17:40,640 --> 00:17:42,840 Speaker 4: It is, and we've been collaborating with US Fish and 418 00:17:42,840 --> 00:17:45,760 Speaker 4: Wildlife on this, and years ago we were talking about this. 419 00:17:45,840 --> 00:17:49,440 Speaker 4: They were saying there's this real need to bank this species. 420 00:17:49,880 --> 00:17:53,440 Speaker 4: And then what happened is a very genetically valuable animal died. 421 00:17:53,560 --> 00:17:56,040 Speaker 4: And they knew of us, they knew our program, they 422 00:17:56,080 --> 00:17:57,880 Speaker 4: were prepared, they knew the method to. 423 00:17:57,880 --> 00:17:59,240 Speaker 5: Quickly get us the tissue. 424 00:17:59,440 --> 00:18:02,360 Speaker 4: Oh, the ladies in the labs set up the tissues, 425 00:18:02,359 --> 00:18:05,119 Speaker 4: and about four weeks later there are enough cells to 426 00:18:05,160 --> 00:18:07,960 Speaker 4: add to the frozen zoo and so that becomes a 427 00:18:08,000 --> 00:18:10,640 Speaker 4: new species, and we're saving the genetic diversity of that 428 00:18:10,720 --> 00:18:12,160 Speaker 4: individual that died. 429 00:18:12,520 --> 00:18:13,560 Speaker 5: Otherwise it's lost. 430 00:18:13,640 --> 00:18:16,320 Speaker 4: We can't ever go back and say, oh, we should 431 00:18:16,359 --> 00:18:18,520 Speaker 4: have gotten that animal or you know, wouldn't it be 432 00:18:18,640 --> 00:18:20,520 Speaker 4: nice if we had cells of a dodo or a 433 00:18:20,520 --> 00:18:24,359 Speaker 4: Tasmanian tiger or a passenger pigeon. But we can't go 434 00:18:24,480 --> 00:18:27,439 Speaker 4: backwards in time. We have to bank now with the 435 00:18:27,480 --> 00:18:28,560 Speaker 4: future in mind. 436 00:18:28,800 --> 00:18:30,800 Speaker 1: Yeah, having the foresight for it, that's really great. 437 00:18:30,880 --> 00:18:33,359 Speaker 2: You know, since you mentioned the fact that your team 438 00:18:33,760 --> 00:18:36,359 Speaker 2: grew more cells. That took four weeks. And again, I 439 00:18:36,359 --> 00:18:38,479 Speaker 2: think for someone listening it might be like, wait, what 440 00:18:39,280 --> 00:18:41,000 Speaker 2: so we have here in front of us? 441 00:18:41,119 --> 00:18:41,280 Speaker 4: Oh? 442 00:18:41,359 --> 00:18:44,000 Speaker 2: Yeah, how things are banked once they have grown. But 443 00:18:44,160 --> 00:18:46,320 Speaker 2: let's talk first before I want to describe this and 444 00:18:46,400 --> 00:18:48,120 Speaker 2: get into what this is here in front of us. 445 00:18:48,640 --> 00:18:50,560 Speaker 2: But when the cell sample shows up, you're not just 446 00:18:50,600 --> 00:18:52,720 Speaker 2: throwing that in the freezer. There's a whole process that 447 00:18:52,760 --> 00:18:55,080 Speaker 2: everyone has to go through a quick step by step. 448 00:18:55,240 --> 00:18:57,520 Speaker 2: What is it that your team has to jump into 449 00:18:57,560 --> 00:19:00,239 Speaker 2: when those prey chicken cells show up? 450 00:19:00,600 --> 00:19:02,879 Speaker 4: Right, So we get it in a small container with 451 00:19:03,200 --> 00:19:05,399 Speaker 4: growth media so it keeps it moist, it keeps it 452 00:19:05,440 --> 00:19:07,840 Speaker 4: from drying out. So anything that would kill the cells 453 00:19:08,680 --> 00:19:10,680 Speaker 4: ends what we're trying to do. We need live cell 454 00:19:10,800 --> 00:19:13,720 Speaker 4: So if you think of a leaf of lettuce, it's 455 00:19:13,800 --> 00:19:16,479 Speaker 4: nice and crisp and taught, and those cells are alive. 456 00:19:17,000 --> 00:19:20,480 Speaker 4: If it gets dehydrated, it wilts, If it gets bacteria, 457 00:19:20,600 --> 00:19:24,160 Speaker 4: it wilts. All these things. Just a high amount of heat, 458 00:19:24,280 --> 00:19:26,160 Speaker 4: it would start to weild. That means the cells are dying, 459 00:19:26,560 --> 00:19:28,359 Speaker 4: if you think of it like that. So this comes 460 00:19:28,359 --> 00:19:31,240 Speaker 4: in a little vial keeping it moist. It has antibiotics 461 00:19:31,240 --> 00:19:33,640 Speaker 4: so it doesn't get contaminated, and. 462 00:19:33,600 --> 00:19:35,720 Speaker 5: We get it quickly, take it into the lab. 463 00:19:35,760 --> 00:19:39,119 Speaker 4: Everything's done steraily so that we don't get outside organisms 464 00:19:39,160 --> 00:19:42,720 Speaker 4: into our cells, which would destroy it. So it goes 465 00:19:42,760 --> 00:19:46,080 Speaker 4: into the lab. They dice it really small into little pieces. 466 00:19:46,119 --> 00:19:49,600 Speaker 4: We add an enzyme called collagenase. It digests the collagen 467 00:19:49,640 --> 00:19:50,720 Speaker 4: around the cells. 468 00:19:50,480 --> 00:19:52,440 Speaker 2: So real quick. I know what that means. But when 469 00:19:52,440 --> 00:19:54,560 Speaker 2: we sure our audience knows. It comes in as a 470 00:19:54,640 --> 00:19:59,000 Speaker 2: very small sample. The sample size is so they dice 471 00:19:59,040 --> 00:20:00,760 Speaker 2: it up first into small all our pieces of the 472 00:20:00,840 --> 00:20:04,840 Speaker 2: enzyme you said digestive and basically means breaks down certain proteins. 473 00:20:04,880 --> 00:20:07,800 Speaker 4: Correct, yep, right, it breaks down the collagen that's holding 474 00:20:07,880 --> 00:20:10,320 Speaker 4: the cells together. You know, our skin is all collagen. 475 00:20:10,359 --> 00:20:11,680 Speaker 4: You know, as we age and they say, oh, you're 476 00:20:11,680 --> 00:20:14,879 Speaker 4: losing collagen, you're losing elasticity in your skin. 477 00:20:15,080 --> 00:20:18,399 Speaker 2: Yeah, so this helps basically individualize and bring the cells 478 00:20:18,480 --> 00:20:20,320 Speaker 2: apart from other cells, so you can get an eye 479 00:20:20,359 --> 00:20:21,800 Speaker 2: on those individuals better. 480 00:20:22,080 --> 00:20:25,199 Speaker 4: Right, Okay, So we digest it and the cells are 481 00:20:25,320 --> 00:20:28,600 Speaker 4: coming loose than we take that and we put the digesting, 482 00:20:28,680 --> 00:20:31,240 Speaker 4: falling apart tissue in a flask, which is a little 483 00:20:31,240 --> 00:20:36,320 Speaker 4: clear plastic container that's sterile, okay, and the cells will 484 00:20:36,320 --> 00:20:39,080 Speaker 4: begin in a growth media has all the nutrients and enzymes, 485 00:20:39,119 --> 00:20:41,480 Speaker 4: kind of cell soup, everything they need to grow and thrive. 486 00:20:42,080 --> 00:20:44,919 Speaker 4: So the cells they're adherent. Not all cells are adherent. 487 00:20:44,920 --> 00:20:46,760 Speaker 4: It means they stick to the bottom of the flask. 488 00:20:46,880 --> 00:20:49,240 Speaker 4: Some cells are non adherent. They're floating. And the cancer 489 00:20:49,280 --> 00:20:52,160 Speaker 4: cells I worked with were non adherent. That's another difficult 490 00:20:53,119 --> 00:20:55,840 Speaker 4: The best these are adherent. They attached to the bottom. 491 00:20:55,920 --> 00:20:57,840 Speaker 4: We can look at them under the microscope. We can 492 00:20:57,880 --> 00:21:00,640 Speaker 4: watch them grow and divide, so we know when there's 493 00:21:00,760 --> 00:21:03,720 Speaker 4: more and we want the bottom of the flask to 494 00:21:03,800 --> 00:21:06,520 Speaker 4: become wall to wall with cells. The word for that 495 00:21:06,600 --> 00:21:10,720 Speaker 4: is a really weird word called confluent again, confluent confluid. 496 00:21:10,840 --> 00:21:13,800 Speaker 4: I think rivers are confluent and cells can be confluent, 497 00:21:13,840 --> 00:21:16,000 Speaker 4: but there's not many things that are described as conflict, 498 00:21:16,040 --> 00:21:18,360 Speaker 4: but as wall to wall packed with cells. And as 499 00:21:18,359 --> 00:21:21,399 Speaker 4: they grow there and one flask becomes packed with cells, 500 00:21:21,640 --> 00:21:24,360 Speaker 4: we put an enzyme on again to make them become 501 00:21:24,720 --> 00:21:27,040 Speaker 4: de attached from the bottom of the flask, and we 502 00:21:27,080 --> 00:21:28,760 Speaker 4: can move half of them into another flask. 503 00:21:28,960 --> 00:21:29,840 Speaker 5: And this is how we grow it. 504 00:21:29,840 --> 00:21:32,679 Speaker 4: We go from one flask to two to four, and 505 00:21:32,720 --> 00:21:34,960 Speaker 4: then when we get to four, we have enough cells 506 00:21:34,960 --> 00:21:36,720 Speaker 4: to add to the frozen zoo. 507 00:21:36,600 --> 00:21:39,640 Speaker 2: Why is it important to have at least that many 508 00:21:39,720 --> 00:21:41,640 Speaker 2: cells before putting them in the frozen zoo? 509 00:21:42,119 --> 00:21:45,119 Speaker 5: So the number you could decide whatever you want. 510 00:21:45,240 --> 00:21:47,280 Speaker 4: But what we hit upon in history it all the 511 00:21:47,280 --> 00:21:49,520 Speaker 4: way back pretty much to our lane, was we thought 512 00:21:49,560 --> 00:21:53,520 Speaker 4: we would freeze nine vials overall, so four would stay 513 00:21:53,560 --> 00:21:57,240 Speaker 4: here at the Beckmann Center. Four go to our duplicate collection, 514 00:21:57,400 --> 00:22:00,120 Speaker 4: which is exactly the same. Because you don't want all 515 00:22:00,160 --> 00:22:03,000 Speaker 4: your eggs in one basket, correct, right, what happens if 516 00:22:03,000 --> 00:22:06,320 Speaker 4: there was a fire or an earthquake, something we couldn't control, 517 00:22:06,560 --> 00:22:09,560 Speaker 4: we would have half the collection somewhere else. The ninth 518 00:22:09,600 --> 00:22:13,399 Speaker 4: file is pulled, doesn't get into the frozen zoo. We 519 00:22:13,520 --> 00:22:17,359 Speaker 4: freeze it briefly, and then we put it in another 520 00:22:17,400 --> 00:22:19,640 Speaker 4: flask and we can use it to look at the chromosomes. 521 00:22:19,920 --> 00:22:22,800 Speaker 5: Ah, cool, and check the We call it viability. How 522 00:22:22,800 --> 00:22:24,000 Speaker 5: well did the cells freeze? 523 00:22:24,040 --> 00:22:25,520 Speaker 4: Sure, we can freeze, and we can throw them in 524 00:22:25,560 --> 00:22:27,080 Speaker 4: there and say we froze them, but they have to 525 00:22:27,080 --> 00:22:31,480 Speaker 4: come back out alive or it doesn't matter. It's science science, 526 00:22:32,960 --> 00:22:35,600 Speaker 4: And I didn't mention like you said, you can't just 527 00:22:35,720 --> 00:22:38,639 Speaker 4: throw something into the freezer and expect it would come 528 00:22:38,680 --> 00:22:41,439 Speaker 4: back out alive. What we have to do is add 529 00:22:41,960 --> 00:22:47,520 Speaker 4: a reagent called dimethyl sulfoxide or dmso it prevents ice 530 00:22:47,560 --> 00:22:50,359 Speaker 4: crystals from forming in the cells. So picture of cell 531 00:22:51,240 --> 00:22:54,040 Speaker 4: and it's freezing. Yet it makes it freeze softly, kind 532 00:22:54,040 --> 00:22:56,760 Speaker 4: of like a popsicle, like a not real hard like 533 00:22:56,800 --> 00:22:57,639 Speaker 4: an ice cube. 534 00:22:57,840 --> 00:23:00,880 Speaker 1: Frozen, yeah, frozen gelny. 535 00:23:00,920 --> 00:23:02,520 Speaker 3: You know, I was up really ate last night and 536 00:23:02,720 --> 00:23:04,760 Speaker 3: I wanted a popsicle, but there was this one with 537 00:23:04,840 --> 00:23:06,440 Speaker 3: a lot of frost fighting and I didn't want to 538 00:23:06,480 --> 00:23:08,440 Speaker 3: eat it. 539 00:23:10,400 --> 00:23:11,560 Speaker 1: Well, if you probably. 540 00:23:12,440 --> 00:23:13,440 Speaker 5: It's similar, I mean it's. 541 00:23:15,800 --> 00:23:17,720 Speaker 4: I mean a popsicle doesn't have live cells if you 542 00:23:17,720 --> 00:23:18,640 Speaker 4: think back to the life. 543 00:23:18,720 --> 00:23:19,800 Speaker 1: Otherwise I'm not eating it. 544 00:23:20,000 --> 00:23:25,480 Speaker 4: Right, it's a cryo protecting. It's like an anti freeze. 545 00:23:25,520 --> 00:23:29,200 Speaker 4: So it is freezing, but it's not freezing rocks solid 546 00:23:29,280 --> 00:23:33,000 Speaker 4: with ice crystals because ice crystal is sharp, it pierces 547 00:23:33,040 --> 00:23:35,280 Speaker 4: the cell membrane that kills the cell. 548 00:23:35,560 --> 00:23:39,359 Speaker 2: So this is legitimately a frozen suspended animation. You're not 549 00:23:39,400 --> 00:23:42,399 Speaker 2: freezing to the point of hard rock. You're keeping a 550 00:23:42,480 --> 00:23:45,119 Speaker 2: soft enough that those cells don't burst, break or tear. 551 00:23:45,960 --> 00:23:48,000 Speaker 2: And then you bring that one vial, that ninth file 552 00:23:48,080 --> 00:23:49,879 Speaker 2: back out, just a double check that all the systems 553 00:23:49,920 --> 00:23:51,680 Speaker 2: are working well. Yeah, and then it's viable. 554 00:23:51,880 --> 00:23:54,080 Speaker 4: Right, we look at it under the microscope. We say, oh, look, 555 00:23:54,119 --> 00:23:56,840 Speaker 4: they did attach again. They did it here. They are 556 00:23:56,880 --> 00:23:59,560 Speaker 4: dividing again, and then we can grow them up further. 557 00:24:00,440 --> 00:24:02,720 Speaker 4: They're getting older. Each time they divide, they get older, 558 00:24:02,800 --> 00:24:03,639 Speaker 4: just like our cells. 559 00:24:03,760 --> 00:24:05,080 Speaker 1: Oh I didn't think about that. If you think. 560 00:24:05,160 --> 00:24:07,200 Speaker 4: Yeah, if you think about it, our skin looks the 561 00:24:07,240 --> 00:24:09,320 Speaker 4: way it does because our cells have divided over and 562 00:24:09,320 --> 00:24:12,479 Speaker 4: over and over compared to a baby. But we can 563 00:24:12,520 --> 00:24:16,000 Speaker 4: grow it up again and we give a section of that. 564 00:24:16,200 --> 00:24:19,000 Speaker 4: We give a number of those cells to the DNA group, 565 00:24:19,400 --> 00:24:21,960 Speaker 4: who then freezes it in a non living manner. But 566 00:24:22,080 --> 00:24:25,439 Speaker 4: that can also be used for other people. Requesting cells. 567 00:24:25,440 --> 00:24:27,800 Speaker 4: If they don't need living dividing cells, will give them 568 00:24:27,800 --> 00:24:32,400 Speaker 4: the DNA material instead and protect As curator. I need 569 00:24:32,400 --> 00:24:34,359 Speaker 4: to be sure that we keep a certain amount of 570 00:24:34,359 --> 00:24:38,480 Speaker 4: the live cells back in the collection for future uses, 571 00:24:38,600 --> 00:24:41,560 Speaker 4: because you know, what's the most important use today? And 572 00:24:41,600 --> 00:24:44,119 Speaker 4: then I have to think about could there be something 573 00:24:44,119 --> 00:24:47,240 Speaker 4: more important in the future that people would say, wait, 574 00:24:47,280 --> 00:24:50,920 Speaker 4: why did you use it all up on that whatever 575 00:24:50,960 --> 00:24:53,879 Speaker 4: it was studying chromosomes. We need to bank some. We 576 00:24:54,040 --> 00:24:55,959 Speaker 4: use it now and we bank some for the future. 577 00:24:56,280 --> 00:24:59,040 Speaker 2: Wow, all right, I have to ask because I do 578 00:24:59,119 --> 00:25:00,919 Speaker 2: want to get again into these containers here how this 579 00:25:00,960 --> 00:25:02,760 Speaker 2: all works, so we can talk more about that for 580 00:25:02,800 --> 00:25:06,960 Speaker 2: our audience. Thirty eight years of doing this, clearly thousands 581 00:25:07,040 --> 00:25:10,720 Speaker 2: upon thousands of individuals gotten into plants, got some birds, 582 00:25:10,720 --> 00:25:13,680 Speaker 2: got some retails for you personally, what has been the 583 00:25:13,720 --> 00:25:15,840 Speaker 2: most like, oh my gosh, I can't believe this is 584 00:25:15,880 --> 00:25:17,760 Speaker 2: here at the laugh or did we get to freeze 585 00:25:17,800 --> 00:25:20,320 Speaker 2: this one? Has there been one, whether it's an individual 586 00:25:20,800 --> 00:25:22,480 Speaker 2: or a species or anything like that. 587 00:25:22,640 --> 00:25:23,520 Speaker 5: I can only pick one. 588 00:25:23,600 --> 00:25:27,480 Speaker 2: Okay, one from your top ten comes up right away 589 00:25:27,520 --> 00:25:28,480 Speaker 2: when he said, well, there's. 590 00:25:28,320 --> 00:25:29,880 Speaker 4: So many, because it has been a lot of years, 591 00:25:29,920 --> 00:25:32,359 Speaker 4: and I've been so fortunate to work on so many things, 592 00:25:32,359 --> 00:25:35,600 Speaker 4: So beginning with having my job being figured out how 593 00:25:35,600 --> 00:25:37,720 Speaker 4: to make rhino cells grow better, I got to work 594 00:25:37,760 --> 00:25:40,960 Speaker 4: with Sumatran rhino and northern white rhino and I was 595 00:25:41,000 --> 00:25:43,680 Speaker 4: actually successful and they're one of our best growing cells. 596 00:25:44,160 --> 00:25:47,240 Speaker 4: Today we don't worry about growing rhinos. So it's like 597 00:25:47,440 --> 00:25:49,480 Speaker 4: we got a rhino sample, it's going to work. We have, 598 00:25:49,680 --> 00:25:51,520 Speaker 4: you know, probably ninety nine percent success. 599 00:25:51,600 --> 00:25:53,320 Speaker 3: Right, do you like to look back? You walk past 600 00:25:53,320 --> 00:25:56,680 Speaker 3: the rhinol? I did that, like. 601 00:25:56,680 --> 00:25:59,359 Speaker 4: Nola, you know, before I die, They got samples the 602 00:25:59,400 --> 00:25:59,960 Speaker 4: Northern white rude. 603 00:26:00,119 --> 00:26:02,119 Speaker 3: She was a northern white rhino that lived here in 604 00:26:02,160 --> 00:26:04,080 Speaker 3: the Safari apart for many years in case our listeners 605 00:26:04,080 --> 00:26:06,679 Speaker 3: didn't know, and everyone loved her. And it just reminds 606 00:26:06,760 --> 00:26:08,960 Speaker 3: me how great this place is, you know, the Safari Park, 607 00:26:09,080 --> 00:26:13,480 Speaker 3: all the nuances, guests, wildlife care, security, chafts, science, you know, 608 00:26:13,520 --> 00:26:15,960 Speaker 3: it's great and it's wonderful that guests can come visitors 609 00:26:15,960 --> 00:26:19,560 Speaker 3: here and know that these things are happening, these amazing 610 00:26:19,720 --> 00:26:22,080 Speaker 3: nuances of science are happening right here in Backman at 611 00:26:22,080 --> 00:26:22,840 Speaker 3: the Safari Park. 612 00:26:23,000 --> 00:26:25,719 Speaker 4: And then we branch out everywhere we have hubs that 613 00:26:25,800 --> 00:26:28,520 Speaker 4: San diego Zo Wildlife Alliance works with, and one of 614 00:26:28,520 --> 00:26:33,080 Speaker 4: our hubs is Hawaii and the endangered bird population there right. Yes, 615 00:26:33,400 --> 00:26:35,800 Speaker 4: that goes back to probably, I don't know that this 616 00:26:35,840 --> 00:26:38,199 Speaker 4: could ever happen again. It has to stand out as 617 00:26:38,240 --> 00:26:42,080 Speaker 4: one of my most memorable oh yeah samples I set 618 00:26:42,160 --> 00:26:45,840 Speaker 4: up was it's a Hawaiian honey creeper called the Yes 619 00:26:46,560 --> 00:26:47,040 Speaker 4: and they. 620 00:26:46,920 --> 00:26:49,280 Speaker 5: Live in Hawaii. They thought it was extinct. 621 00:26:49,320 --> 00:26:53,160 Speaker 4: They rediscovered just a few individuals and they were making 622 00:26:53,160 --> 00:26:55,320 Speaker 4: a plan for how to try to bring them together 623 00:26:55,520 --> 00:26:58,920 Speaker 4: so that we could help them in reproduction and save 624 00:26:59,000 --> 00:27:02,440 Speaker 4: the species, kind of like we did with California condor. However, 625 00:27:02,520 --> 00:27:06,320 Speaker 4: there weren't enough individuals and they were only ever able 626 00:27:06,440 --> 00:27:10,240 Speaker 4: to bring the one male into the managed care program, 627 00:27:11,040 --> 00:27:14,199 Speaker 4: and he was older, and then we figured he was 628 00:27:14,280 --> 00:27:18,360 Speaker 4: going to die fairly soon, and he did. And they 629 00:27:18,400 --> 00:27:21,159 Speaker 4: wanted people to grow cells. And they said, we're going 630 00:27:21,200 --> 00:27:23,680 Speaker 4: to send you tissue and you need to grow the cells. 631 00:27:23,680 --> 00:27:25,880 Speaker 4: And I said, yeah, except we don't grow birds yet. 632 00:27:26,359 --> 00:27:28,280 Speaker 4: It was too early. It was two thousand and four. 633 00:27:28,760 --> 00:27:31,359 Speaker 4: I could grow feathers if feathers were growing in and 634 00:27:31,400 --> 00:27:33,600 Speaker 4: I said, if this bird doesn't have growing feathers. I 635 00:27:33,600 --> 00:27:36,600 Speaker 4: don't know how to grow a bird. So I begged 636 00:27:36,600 --> 00:27:38,800 Speaker 4: that they would send it to two different locations and 637 00:27:38,800 --> 00:27:40,560 Speaker 4: they said, okay, we'll look into that. And then they 638 00:27:40,600 --> 00:27:43,399 Speaker 4: came back and said, there is no other location that 639 00:27:43,480 --> 00:27:43,920 Speaker 4: does this. 640 00:27:44,200 --> 00:27:45,200 Speaker 5: You have to do it. 641 00:27:45,720 --> 00:27:47,639 Speaker 4: And then it was Thanksgiving weekend and there was a 642 00:27:47,640 --> 00:27:50,400 Speaker 4: team of people to receive the bird and went into 643 00:27:50,440 --> 00:27:54,280 Speaker 4: pathology and they were able to extract the eye. Because 644 00:27:55,160 --> 00:27:56,639 Speaker 4: I didn't know at the time, we didn't know I 645 00:27:56,800 --> 00:27:59,639 Speaker 4: in trachia. I never never thought of trachia. I tried 646 00:28:00,040 --> 00:28:04,080 Speaker 4: of her heart, kidney's spleen skin, which rarely grows on birds. 647 00:28:04,400 --> 00:28:07,440 Speaker 4: And I because of the past knowledge all the way 648 00:28:07,480 --> 00:28:11,040 Speaker 4: back to Arlene and doctor Banershka. Arlene had grown the 649 00:28:11,080 --> 00:28:14,480 Speaker 4: cornea of a whale, and I thought, well, maybe I 650 00:28:14,520 --> 00:28:17,440 Speaker 4: can grow the cornea. But the eye was the size 651 00:28:17,480 --> 00:28:20,680 Speaker 4: of a blueberry, and I couldn't really extract out the cornea. 652 00:28:20,800 --> 00:28:22,600 Speaker 4: So I kind of cut it in half and used 653 00:28:22,600 --> 00:28:25,480 Speaker 4: my very scientific words of front of eye and back 654 00:28:25,520 --> 00:28:27,720 Speaker 4: of eye and set up two different cultures. 655 00:28:27,720 --> 00:28:28,680 Speaker 5: And back of eye grew. 656 00:28:28,720 --> 00:28:34,160 Speaker 4: But the torture waiting for that to grow, but it did. 657 00:28:34,240 --> 00:28:36,720 Speaker 4: Eventually in four weeks, we ended up adding it to 658 00:28:36,720 --> 00:28:39,600 Speaker 4: the Frozen Zoo and it became the first selling ever 659 00:28:39,720 --> 00:28:42,800 Speaker 4: anywhere in the world of an extinct species because we 660 00:28:42,840 --> 00:28:47,880 Speaker 4: don't have Dodo cells or Tasmania chi passenger pigeon. And 661 00:28:47,920 --> 00:28:50,880 Speaker 4: then what that reminds us is the other value of 662 00:28:50,880 --> 00:28:53,600 Speaker 4: the Frozen Zoo. We need to be banking these animals now, 663 00:28:53,720 --> 00:28:57,120 Speaker 4: not when it's the last one that's pressure. If that 664 00:28:57,200 --> 00:29:00,760 Speaker 4: didn't work, we lost the ability to look at foul chromosomes, 665 00:29:00,840 --> 00:29:05,320 Speaker 4: the Fulei genome. We can't bring that species back from 666 00:29:05,320 --> 00:29:07,920 Speaker 4: one cell line, but we can learn so much more 667 00:29:07,960 --> 00:29:10,200 Speaker 4: about it just by studying living cells. 668 00:29:10,320 --> 00:29:13,360 Speaker 2: Then that knowledge can apply to future species possibly. Yeah. Right, 669 00:29:13,400 --> 00:29:15,120 Speaker 2: And so I want to ask real quick because you 670 00:29:15,160 --> 00:29:18,880 Speaker 2: mentioned we haven't done birds yet. So describe the situation. 671 00:29:19,400 --> 00:29:22,200 Speaker 2: You chop up the cells, you add the enzymes, you know, 672 00:29:22,360 --> 00:29:25,520 Speaker 2: all those things you're looking for. I'm guessing different temperatures, 673 00:29:25,560 --> 00:29:28,640 Speaker 2: different chemicals, different amounts of the enzymes. These are all 674 00:29:28,680 --> 00:29:29,960 Speaker 2: things I have to play and you have to learn 675 00:29:30,560 --> 00:29:35,280 Speaker 2: along the way what the right steps are for each mammals, birds, reptiles, 676 00:29:35,320 --> 00:29:37,880 Speaker 2: et cetera. Or is there a different reason why you're like, ah, bird, 677 00:29:37,920 --> 00:29:38,720 Speaker 2: I'm not ready yet. 678 00:29:39,400 --> 00:29:41,520 Speaker 4: No, you're right, You're right. Temperature is one of the 679 00:29:41,520 --> 00:29:43,920 Speaker 4: biggest things. And they all grow in incubators. That four 680 00:29:43,920 --> 00:29:46,160 Speaker 4: weeks I was talking about. They're in an incubator, and 681 00:29:46,200 --> 00:29:49,560 Speaker 4: the technicians tend to, like the wildlife care specialists, they 682 00:29:49,600 --> 00:29:51,000 Speaker 4: have to go in every day and like look at 683 00:29:51,040 --> 00:29:53,640 Speaker 4: the cells and say, Okay, this one needs something else, 684 00:29:53,760 --> 00:29:55,400 Speaker 4: this one's happy, this one's not happy. 685 00:29:55,440 --> 00:29:56,280 Speaker 5: What do I feed it? 686 00:29:56,840 --> 00:29:58,960 Speaker 4: We get into a rhythm or we can kind of tell. 687 00:29:59,000 --> 00:30:00,880 Speaker 4: But some of them are different, and each time some 688 00:30:00,960 --> 00:30:03,360 Speaker 4: of them have just aren't working. We have to figure 689 00:30:03,400 --> 00:30:07,280 Speaker 4: something out. The birds actually grow at forty degrees celsius, 690 00:30:07,400 --> 00:30:11,400 Speaker 4: and mammals grow at thirty seven degrees, reptiles at thirty three. 691 00:30:11,560 --> 00:30:15,600 Speaker 4: Amphibians either room temperature or twenty seven. So it's very different. 692 00:30:15,800 --> 00:30:17,600 Speaker 5: Yeah, So they kind of go in groups. 693 00:30:17,320 --> 00:30:20,560 Speaker 4: Though if they're related to each other, they behave similarly. 694 00:30:21,040 --> 00:30:24,600 Speaker 4: So carnivores we can kind of treat with the same media. 695 00:30:24,720 --> 00:30:27,640 Speaker 4: They take the same media, which is different from the 696 00:30:27,680 --> 00:30:30,600 Speaker 4: media that the gazelle groups take. So we have to 697 00:30:30,600 --> 00:30:32,480 Speaker 4: know all these things, and then we have to know 698 00:30:32,600 --> 00:30:35,640 Speaker 4: things too. For example, dolphins we learned to grow at 699 00:30:35,680 --> 00:30:38,960 Speaker 4: thirty seven degrees and whales grow at thirty three. But 700 00:30:39,120 --> 00:30:42,240 Speaker 4: then there are some things that are called whale, like 701 00:30:42,400 --> 00:30:44,760 Speaker 4: killer whale, that are actually a dolphin. 702 00:30:45,040 --> 00:30:45,240 Speaker 2: Right. 703 00:30:45,400 --> 00:30:48,240 Speaker 4: Oh yeah, So we have to know our taxonomy or 704 00:30:48,400 --> 00:30:52,040 Speaker 4: the how things are related, what groups they rely on commons. 705 00:30:52,760 --> 00:30:54,560 Speaker 1: It kind of makes me think of my cookbook back home. 706 00:30:54,600 --> 00:30:57,400 Speaker 3: You know, it kind of grows. You know, my mom's 707 00:30:57,440 --> 00:30:59,239 Speaker 3: way of making it. The mile might be different than 708 00:30:59,280 --> 00:31:00,880 Speaker 3: my way, and you have a little bit here and there. 709 00:31:00,880 --> 00:31:02,480 Speaker 3: But I know it's a silly way of describing it. 710 00:31:02,520 --> 00:31:04,920 Speaker 3: But you know you're recording all these subtle nuances and 711 00:31:05,040 --> 00:31:08,200 Speaker 3: variation depending on the species and the group or the family, 712 00:31:08,240 --> 00:31:10,360 Speaker 3: depending on what you're doing in the situation, just constantly 713 00:31:10,440 --> 00:31:11,680 Speaker 3: adding more or changing more. 714 00:31:11,760 --> 00:31:12,960 Speaker 5: Right, It's just like that. 715 00:31:13,080 --> 00:31:15,280 Speaker 4: And we consult with each other every day, you know, 716 00:31:15,320 --> 00:31:18,560 Speaker 4: if it's something new. Katie's growing a European fire salamander 717 00:31:18,600 --> 00:31:20,520 Speaker 4: and she just froze. It's one of the new species 718 00:31:20,520 --> 00:31:23,160 Speaker 4: this year. Wow, And we have never gotten a salamander 719 00:31:23,200 --> 00:31:25,560 Speaker 4: to work. So I would go look at it whenever 720 00:31:25,640 --> 00:31:27,760 Speaker 4: she wanted a second opinion, And you know, what do 721 00:31:27,760 --> 00:31:29,200 Speaker 4: you think I should do Is it ready to go 722 00:31:29,280 --> 00:31:29,560 Speaker 4: to the. 723 00:31:29,520 --> 00:31:30,680 Speaker 5: Next flask or is it not? 724 00:31:31,480 --> 00:31:32,080 Speaker 2: What do I do? 725 00:31:32,160 --> 00:31:35,160 Speaker 4: Because it's scary, you know, and there's no written answer. 726 00:31:35,280 --> 00:31:38,320 Speaker 4: You're building on past knowledge and then you share that 727 00:31:38,360 --> 00:31:41,040 Speaker 4: knowledge with the rest of the team and the scientists 728 00:31:41,080 --> 00:31:42,720 Speaker 4: of the future, the technicians. 729 00:31:42,280 --> 00:31:43,440 Speaker 1: The future, interesting arguments. 730 00:31:43,440 --> 00:31:45,760 Speaker 3: It's scary, but it's exciting to you write what you're 731 00:31:45,760 --> 00:31:48,880 Speaker 3: trying to do, but the unknown, Like how super exciting 732 00:31:48,920 --> 00:31:51,240 Speaker 3: is that? Like modern day superheroes that you guys are doing, so, 733 00:31:51,240 --> 00:31:53,800 Speaker 3: I mean really really great work, you know, and we 734 00:31:53,880 --> 00:31:56,640 Speaker 3: talked earlier. It's a fiftieth anniversary of the Frozen Zoo 735 00:31:57,200 --> 00:31:59,120 Speaker 3: and all these amazing things that I'm learning that we do. 736 00:31:59,160 --> 00:32:01,480 Speaker 3: I had no idea that nuances here makes me think, like, 737 00:32:01,520 --> 00:32:03,280 Speaker 3: what's going to happen fifty years from now? You know, 738 00:32:03,520 --> 00:32:05,800 Speaker 3: we only can do here at Backmant the Safari Park 739 00:32:05,840 --> 00:32:07,720 Speaker 3: in the Alliance and all this conservation work. 740 00:32:07,800 --> 00:32:09,480 Speaker 4: I know, isn't it fun to think of? I mean, 741 00:32:09,600 --> 00:32:13,280 Speaker 4: Bnershka could never have imagined where this went. 742 00:32:13,320 --> 00:32:14,240 Speaker 5: I mean he sort of did. 743 00:32:14,280 --> 00:32:17,040 Speaker 4: He predicted cloning, but all the way the technology grew 744 00:32:17,240 --> 00:32:20,640 Speaker 4: and one we can't really probably even guess, but there 745 00:32:20,640 --> 00:32:23,000 Speaker 4: are things we know that we want to do. Right now, 746 00:32:23,000 --> 00:32:27,040 Speaker 4: we're growing only vertebrates, things with the backbone, birds, mammals, reptiles, 747 00:32:27,040 --> 00:32:27,600 Speaker 4: and fabians. 748 00:32:27,600 --> 00:32:27,840 Speaker 2: Fish. 749 00:32:27,960 --> 00:32:30,680 Speaker 4: Yeah, one thing my team is looking at. We want 750 00:32:30,720 --> 00:32:35,600 Speaker 4: to branch into invertebrates. The insects, Yeah, butterflies, monarch butterflies 751 00:32:35,640 --> 00:32:38,160 Speaker 4: are in trouble. The Lord Howse stick insect, which is 752 00:32:38,560 --> 00:32:40,120 Speaker 4: here at SDZWA. 753 00:32:40,480 --> 00:32:40,600 Speaker 1: Right. 754 00:32:40,680 --> 00:32:43,280 Speaker 3: Yeah, you actually can see them at Wildlife Explorers based Canto. 755 00:32:43,320 --> 00:32:44,440 Speaker 1: Another unique species and. 756 00:32:44,400 --> 00:32:46,840 Speaker 5: They're very endangered. There's only a few populations. 757 00:32:46,880 --> 00:32:48,600 Speaker 4: We'd like to try to learn how to bank those, 758 00:32:48,640 --> 00:32:51,480 Speaker 4: which is completely different. And then another thing I think 759 00:32:51,480 --> 00:32:54,120 Speaker 4: you've covered in another podcast. But the big thing we're 760 00:32:54,120 --> 00:32:57,160 Speaker 4: trying to do is share this knowledge and these techniques 761 00:32:57,520 --> 00:33:00,160 Speaker 4: with people around the world because, as I mentioned, it's 762 00:33:00,200 --> 00:33:03,160 Speaker 4: too hard to get the samples here quickly. We can't 763 00:33:03,200 --> 00:33:06,040 Speaker 4: do everything. We're at capacity all the time. We're having 764 00:33:06,120 --> 00:33:09,120 Speaker 4: to make hard decisions. There's too many to grow at once. 765 00:33:09,640 --> 00:33:11,680 Speaker 4: Which one could we get another time if the animal 766 00:33:11,720 --> 00:33:13,880 Speaker 4: hasn't died, let's pass on that one. We've got to 767 00:33:13,880 --> 00:33:15,720 Speaker 4: do the ones that died, we have no more chance 768 00:33:15,760 --> 00:33:18,520 Speaker 4: to get those. But we're making decisions all the time. 769 00:33:18,800 --> 00:33:20,920 Speaker 4: It would be better if we could grow this where 770 00:33:20,960 --> 00:33:23,880 Speaker 4: people all around the world are helping with the effort 771 00:33:24,360 --> 00:33:29,280 Speaker 4: to biobank all these endangered species. And so we're running 772 00:33:29,280 --> 00:33:32,240 Speaker 4: a workshop this year our team for one full week. 773 00:33:32,320 --> 00:33:34,280 Speaker 5: We're going to continue to keep our sales fed, but 774 00:33:34,320 --> 00:33:38,000 Speaker 5: we're going to train eight participants from around the globe. 775 00:33:38,080 --> 00:33:39,720 Speaker 5: That's awesome in these methods. 776 00:33:39,760 --> 00:33:41,600 Speaker 4: They won't learn it in one week, but we'll be 777 00:33:41,640 --> 00:33:44,400 Speaker 4: there to help them along the way. They can write 778 00:33:44,440 --> 00:33:46,720 Speaker 4: and ask us questions and we will probably go to 779 00:33:46,800 --> 00:33:49,760 Speaker 4: their countries once they're set up and help them work 780 00:33:49,760 --> 00:33:53,920 Speaker 4: out the little details. So this way, if an animal dies, 781 00:33:53,960 --> 00:33:57,480 Speaker 4: and think of the biodiversity these other countries that we 782 00:33:57,600 --> 00:33:59,680 Speaker 4: don't have in the frozen zoo that will never be 783 00:33:59,720 --> 00:34:02,760 Speaker 4: able to or there might be permit issues where they 784 00:34:02,840 --> 00:34:05,280 Speaker 4: aren't allowed to leave the country. So this way, and 785 00:34:05,320 --> 00:34:07,560 Speaker 4: then it can be a network where we all could 786 00:34:07,560 --> 00:34:09,759 Speaker 4: call on each other. You know, this actually happened. There 787 00:34:09,800 --> 00:34:12,319 Speaker 4: was a rare dolphin that was about to die and 788 00:34:12,360 --> 00:34:14,799 Speaker 4: they were calling us and it was near Germany, and 789 00:34:14,840 --> 00:34:17,000 Speaker 4: I said, it's not going to work for us to 790 00:34:17,000 --> 00:34:19,399 Speaker 4: get there. However, we had trained someone. We've run these 791 00:34:19,400 --> 00:34:21,759 Speaker 4: courses before and one of the people we trained from 792 00:34:21,800 --> 00:34:24,160 Speaker 4: Germany he was up and running. So I called him 793 00:34:24,200 --> 00:34:26,320 Speaker 4: and I said, hey, could you get to this dolphin 794 00:34:26,400 --> 00:34:26,799 Speaker 4: in time? 795 00:34:26,840 --> 00:34:28,440 Speaker 5: And if you have any questions will help. 796 00:34:28,680 --> 00:34:29,160 Speaker 2: Wow. 797 00:34:29,400 --> 00:34:32,800 Speaker 4: But anyway, we had that tiny network is a network 798 00:34:32,840 --> 00:34:34,839 Speaker 4: of just a couple in place. Now we want this 799 00:34:35,280 --> 00:34:38,200 Speaker 4: huge network where we have people spread all throughout the 800 00:34:38,200 --> 00:34:40,640 Speaker 4: globe so that we can collect all the spaces. 801 00:34:40,760 --> 00:34:43,160 Speaker 2: It really speaks to the value of working together, working 802 00:34:43,160 --> 00:34:45,960 Speaker 2: with other organizations, working with the little individuals around the world, 803 00:34:46,080 --> 00:34:47,759 Speaker 2: instead of trying to go no, no, it's all ours. 804 00:34:47,800 --> 00:34:49,399 Speaker 2: We're doing the best job ever and you can't touch 805 00:34:49,440 --> 00:34:51,640 Speaker 2: it. It really goes to what we've always talked about with 806 00:34:51,680 --> 00:34:53,799 Speaker 2: the San Diego Zoo ands Fire Park, being partners with 807 00:34:53,800 --> 00:34:55,720 Speaker 2: other zeos around the world and here in the US. 808 00:34:56,040 --> 00:34:58,479 Speaker 2: It's not about which one's better or best. It's about 809 00:34:58,480 --> 00:35:01,120 Speaker 2: we have a common goal, and that's to really get 810 00:35:01,120 --> 00:35:03,480 Speaker 2: all life to thrive and help with these species around 811 00:35:03,480 --> 00:35:05,160 Speaker 2: the world. And having this network in place, and the 812 00:35:05,160 --> 00:35:08,200 Speaker 2: fact that you're hosting people from another different countries to 813 00:35:08,320 --> 00:35:11,720 Speaker 2: get this even further out there, so awesome, so very awesome. 814 00:35:11,920 --> 00:35:12,600 Speaker 2: I love that. 815 00:35:12,680 --> 00:35:15,680 Speaker 4: The funny thing is we've actually published all our methods, 816 00:35:15,719 --> 00:35:19,200 Speaker 4: including where we buy our reagents, the vendors, everything, the 817 00:35:19,360 --> 00:35:23,520 Speaker 4: catalog numbers. We've published it in a book. But it's 818 00:35:23,560 --> 00:35:25,759 Speaker 4: not that easy. It's not the cookbook. Going back to 819 00:35:25,800 --> 00:35:27,880 Speaker 4: your cook you could follow a recipe, but it's not 820 00:35:27,920 --> 00:35:31,239 Speaker 4: the same as if your grandmother gave you those little. 821 00:35:33,200 --> 00:35:33,920 Speaker 2: Different right. 822 00:35:35,040 --> 00:35:37,520 Speaker 1: I really don't follow the recipe. That's but that's to 823 00:35:37,560 --> 00:35:37,919 Speaker 1: your point. 824 00:35:37,920 --> 00:35:39,279 Speaker 3: I kind of go on the vibe or I see 825 00:35:39,320 --> 00:35:41,080 Speaker 3: well my mom or my appolitea the and I kind 826 00:35:41,080 --> 00:35:43,359 Speaker 3: of go that route, you know, that little sprinkle whatever 827 00:35:43,360 --> 00:35:46,360 Speaker 3: that's fight yeah, yeah, yeah, no, it was. 828 00:35:46,360 --> 00:35:47,759 Speaker 2: Even like you were saying too, they call you in 829 00:35:47,800 --> 00:35:50,600 Speaker 2: to get eyes on that salamanders to thoseelves because it's like, well, 830 00:35:50,680 --> 00:35:52,560 Speaker 2: sometimes how it looks, or what it's doing, or where 831 00:35:52,600 --> 00:35:55,440 Speaker 2: it's in the process, and the timing of those aspects 832 00:35:55,440 --> 00:35:58,600 Speaker 2: as well. You can't really get that skill in a book, 833 00:35:58,719 --> 00:36:00,560 Speaker 2: but you can help support other people to learn those 834 00:36:00,560 --> 00:36:02,200 Speaker 2: skills and get up to those. 835 00:36:02,120 --> 00:36:05,160 Speaker 4: Speeds and think about I think the important part is 836 00:36:05,239 --> 00:36:07,719 Speaker 4: teaching how you look at it. That's what I've been 837 00:36:07,719 --> 00:36:11,600 Speaker 4: teaching more lately. I'm making this decision based on what 838 00:36:11,719 --> 00:36:13,799 Speaker 4: I see here. So back to your cooking. You know, 839 00:36:13,840 --> 00:36:16,480 Speaker 4: if bread should rise, you add yeast and the bread 840 00:36:16,480 --> 00:36:17,120 Speaker 4: should rise. 841 00:36:17,880 --> 00:36:18,840 Speaker 5: Sometimes it doesn't. 842 00:36:19,280 --> 00:36:21,960 Speaker 4: Unfortunately I'm not a good cook and I don't beg bread. 843 00:36:22,040 --> 00:36:24,959 Speaker 4: But it's you know, if the humidity changes or something 844 00:36:25,000 --> 00:36:27,279 Speaker 4: I might effected how it rises. And then that's an 845 00:36:27,320 --> 00:36:30,279 Speaker 4: experience passed down a long time. Or your grandmother could 846 00:36:30,320 --> 00:36:32,680 Speaker 4: say I've seen this happen last time we had them 847 00:36:32,680 --> 00:36:35,399 Speaker 4: onsoon and then you pass on that I have a. 848 00:36:35,320 --> 00:36:37,200 Speaker 3: Little this and said, you know, and it comes right off. 849 00:36:37,239 --> 00:36:40,000 Speaker 3: You know, Oh this is exciting. I'm curious to you know, 850 00:36:40,080 --> 00:36:42,920 Speaker 3: for the kids that are listening, the little mini scientists 851 00:36:42,960 --> 00:36:44,520 Speaker 3: right now on their way to school, like do you 852 00:36:44,560 --> 00:36:46,680 Speaker 3: have any like words of wisdom for them or any 853 00:36:46,719 --> 00:36:49,120 Speaker 3: kind of encouragement if they're thinking like do I want 854 00:36:49,120 --> 00:36:50,600 Speaker 3: to be a scientist or maybe I should go this 855 00:36:50,640 --> 00:36:51,240 Speaker 3: rout instead? 856 00:36:51,520 --> 00:36:52,239 Speaker 1: What would you say? 857 00:36:52,640 --> 00:36:56,440 Speaker 4: Yeah, well, I think it's really important a career. You 858 00:36:56,520 --> 00:36:59,480 Speaker 4: have it for a long time, hopefully before my job 859 00:36:59,520 --> 00:37:01,719 Speaker 4: here eight years. All my jobs were one and a 860 00:37:01,719 --> 00:37:05,440 Speaker 4: half years and I just wasn't passionate about them, and 861 00:37:05,480 --> 00:37:07,920 Speaker 4: it was a job and it was work. Once I 862 00:37:07,960 --> 00:37:12,200 Speaker 4: got here, it hasn't felt like work. It's just fun. 863 00:37:12,239 --> 00:37:14,400 Speaker 4: And I think it's really important if you're going to 864 00:37:14,440 --> 00:37:16,759 Speaker 4: be in a career for decades to do something you love. 865 00:37:17,200 --> 00:37:21,120 Speaker 4: So follow what your passion is and then explore reach out. 866 00:37:21,280 --> 00:37:23,520 Speaker 4: You know, I would have never ended up here if 867 00:37:23,560 --> 00:37:25,680 Speaker 4: not for trying to volunteer here. I would have never 868 00:37:25,760 --> 00:37:28,200 Speaker 4: thought I could have a job in the Frozen Zoo 869 00:37:28,239 --> 00:37:31,560 Speaker 4: Lab at San Diego Zoo Wildlife Alliance. But doing what 870 00:37:31,640 --> 00:37:35,160 Speaker 4: I loved, working with chromosomes and cells and animals. 871 00:37:35,239 --> 00:37:36,760 Speaker 5: I always loved working with animals. 872 00:37:37,120 --> 00:37:40,440 Speaker 4: It led me to this, just by exploring everything you 873 00:37:40,600 --> 00:37:42,719 Speaker 4: like and then sometimes you'll find something you don't like 874 00:37:42,760 --> 00:37:43,319 Speaker 4: along the way. 875 00:37:44,320 --> 00:37:44,920 Speaker 5: Learn from that. 876 00:37:45,040 --> 00:37:46,799 Speaker 2: Yeah, exactly, it's still learning either way. 877 00:37:46,840 --> 00:37:47,439 Speaker 1: That's great advice. 878 00:37:47,480 --> 00:37:49,000 Speaker 3: I'm always kind of saying the same thing, just like, 879 00:37:49,040 --> 00:37:50,880 Speaker 3: find what you love and make a job out of 880 00:37:50,920 --> 00:37:51,840 Speaker 3: it and you're golden. 881 00:37:51,960 --> 00:37:52,120 Speaker 2: You know. 882 00:37:52,200 --> 00:37:54,080 Speaker 1: Yeah, that's great. Thank you so much. 883 00:37:54,080 --> 00:37:56,200 Speaker 2: We wait, wait, wait before we wrap up, totally forgot 884 00:37:57,400 --> 00:37:59,359 Speaker 2: we're running along, and thank you for a little extra time. 885 00:37:59,360 --> 00:38:01,440 Speaker 2: Oh yes, we have in front of us. So anybody 886 00:38:01,480 --> 00:38:04,520 Speaker 2: who is not watching this on video eventually go on YouTube. 887 00:38:04,800 --> 00:38:06,759 Speaker 2: But right now, the best I can compare this to 888 00:38:06,920 --> 00:38:11,040 Speaker 2: somebody my age. So we're talking gen x ish, right, Okay, 889 00:38:11,200 --> 00:38:17,040 Speaker 2: remember those CD towers and those towers it's about that size, 890 00:38:17,800 --> 00:38:20,880 Speaker 2: about two and a half almost three, But it's not 891 00:38:20,960 --> 00:38:23,600 Speaker 2: a CD tower. This is how things are stored in 892 00:38:23,600 --> 00:38:25,479 Speaker 2: the Frozen Zoo. And like you mentioned, the Frozen Zoo 893 00:38:25,520 --> 00:38:27,359 Speaker 2: is a room and in that room we have how 894 00:38:27,360 --> 00:38:30,960 Speaker 2: many large stainless steel containers roughly about seven, so about 895 00:38:30,960 --> 00:38:34,400 Speaker 2: seven there's liquid nitrogen going through the system to keep 896 00:38:34,440 --> 00:38:37,239 Speaker 2: everything of that sub three hundred degrees or whatever you use. 897 00:38:37,440 --> 00:38:39,760 Speaker 5: It is truly liquid. I mean it says liquid nitrogen, 898 00:38:39,760 --> 00:38:40,400 Speaker 5: but it's a liquid. 899 00:38:40,400 --> 00:38:42,720 Speaker 2: It's a clean it's so cold it's liquid. 900 00:38:42,800 --> 00:38:44,320 Speaker 1: Open it up, it just comes. 901 00:38:44,680 --> 00:38:46,719 Speaker 2: Yeah. So you know, everyone always compared to dress Park 902 00:38:46,719 --> 00:38:49,319 Speaker 2: because dress Park was using the real idea of cryogenically 903 00:38:49,360 --> 00:38:52,040 Speaker 2: frozen things. You have that myst that comes out. I've 904 00:38:52,040 --> 00:38:53,839 Speaker 2: been in there before, you've opened them up. You've pulled 905 00:38:53,840 --> 00:38:56,160 Speaker 2: one of these towers out, can you hear already? The 906 00:38:56,200 --> 00:38:59,319 Speaker 2: temperature starts to change on the metals and it kind 907 00:38:59,320 --> 00:39:00,839 Speaker 2: of makes a little bit of noise and you pull 908 00:39:00,880 --> 00:39:03,840 Speaker 2: out from the side. Then one of these trays that again, 909 00:39:04,080 --> 00:39:05,960 Speaker 2: if you're just stacked maybe what three or four CDs. 910 00:39:06,000 --> 00:39:07,239 Speaker 2: It's about outsize totally. 911 00:39:07,320 --> 00:39:07,640 Speaker 1: Yeah. 912 00:39:07,719 --> 00:39:10,400 Speaker 2: Okay, So inside though, and it's not actual CDs. You 913 00:39:10,440 --> 00:39:13,360 Speaker 2: pull out this case again it's outside of like maybe 914 00:39:13,480 --> 00:39:17,160 Speaker 2: four CDs cases stacked. But then you open it up 915 00:39:17,360 --> 00:39:19,920 Speaker 2: and inside then are all these little vials. Now what 916 00:39:19,960 --> 00:39:22,560 Speaker 2: would be inside these vials if this was part of 917 00:39:22,719 --> 00:39:24,440 Speaker 2: the frozen zoo and you had just taken it out 918 00:39:24,440 --> 00:39:25,440 Speaker 2: of one of the freezers. 919 00:39:25,560 --> 00:39:27,760 Speaker 4: Right, So the box, we're going to fill it eventually. 920 00:39:27,760 --> 00:39:29,759 Speaker 4: But what we do is we put member back to 921 00:39:29,800 --> 00:39:32,560 Speaker 4: the nine vials, four go in one location, forgo in 922 00:39:32,600 --> 00:39:36,960 Speaker 4: another location on a different power grid, and inside would 923 00:39:37,000 --> 00:39:39,239 Speaker 4: be the four vials. We color code the tops so 924 00:39:39,280 --> 00:39:41,120 Speaker 4: that we don't mix anything up. All the cells kind 925 00:39:41,160 --> 00:39:43,680 Speaker 4: of look alike. Okay, and then we aren't in bar 926 00:39:43,760 --> 00:39:46,000 Speaker 4: coding yet, so we actually handwrit on these and you 927 00:39:46,000 --> 00:39:48,239 Speaker 4: can pick one up, sure, and in it would be 928 00:39:48,480 --> 00:39:50,640 Speaker 4: these are just these are just props that we use 929 00:39:50,640 --> 00:39:51,400 Speaker 4: for our education. 930 00:39:51,560 --> 00:39:53,040 Speaker 2: Okay, what do you get? So I got oh, I 931 00:39:53,080 --> 00:39:56,600 Speaker 2: got a male condo door, California condo, Californic condor. And 932 00:39:56,640 --> 00:39:59,760 Speaker 2: then the date is nine June twenty fourteen. 933 00:39:59,640 --> 00:40:02,800 Speaker 4: So that it's an actual day that that actual animal 934 00:40:02,840 --> 00:40:03,400 Speaker 4: with that. 935 00:40:03,400 --> 00:40:05,680 Speaker 5: We call them KB numbers, which is a lab number. 936 00:40:05,760 --> 00:40:11,000 Speaker 4: KB stands for Kurt Venershkakab number. And in it would 937 00:40:11,000 --> 00:40:13,640 Speaker 4: be a little pinkish ice ball if it was really 938 00:40:13,719 --> 00:40:15,680 Speaker 4: in the frozen zoo. And in that little ice ball 939 00:40:15,760 --> 00:40:20,080 Speaker 4: would be one to three million million living cells. Wow, 940 00:40:20,120 --> 00:40:23,120 Speaker 4: in the size of like your pinky fingertip. 941 00:40:22,640 --> 00:40:25,200 Speaker 2: To each file. And so this California condo is all 942 00:40:25,280 --> 00:40:28,840 Speaker 2: these blue ones exactly, so millions of cells in each vial. 943 00:40:29,080 --> 00:40:31,160 Speaker 2: So for those who are not able to watch the video, 944 00:40:31,200 --> 00:40:35,200 Speaker 2: the vial is about as big around as maybe a 945 00:40:35,280 --> 00:40:38,440 Speaker 2: highlighter like a not a full highlighter pen, but like 946 00:40:38,480 --> 00:40:40,640 Speaker 2: maybe like an ink pen of some sort. And then 947 00:40:40,680 --> 00:40:43,920 Speaker 2: it's maybe and a half lender, yeah, inch and a 948 00:40:43,920 --> 00:40:45,880 Speaker 2: half or so in length, with a little blue cap 949 00:40:46,120 --> 00:40:49,359 Speaker 2: and it's sort of clear in color. So each case 950 00:40:49,440 --> 00:40:51,960 Speaker 2: and holds about how many total if we put. 951 00:40:51,760 --> 00:40:53,759 Speaker 4: Four in there, there's one hundred spots if we put 952 00:40:53,800 --> 00:40:56,760 Speaker 4: four from each animal. Okay, kids, do the math. Twenty 953 00:40:56,800 --> 00:41:01,319 Speaker 4: five animals and then thirteen in a tower. 954 00:41:01,280 --> 00:41:02,799 Speaker 2: And you have how many towers in the. 955 00:41:03,480 --> 00:41:06,640 Speaker 4: Six times four twenty four? Yeah, so we can do 956 00:41:06,640 --> 00:41:07,160 Speaker 4: all that matter. 957 00:41:07,200 --> 00:41:10,160 Speaker 2: Then you have the seven different containers there, plus in 958 00:41:10,239 --> 00:41:12,600 Speaker 2: the mirrored collection elsewhere. 959 00:41:12,280 --> 00:41:15,440 Speaker 4: Right, and the seven different containers. Though some are dedicated 960 00:41:15,480 --> 00:41:18,120 Speaker 4: to skin cells, some are dedicated to game eats. The 961 00:41:18,200 --> 00:41:20,480 Speaker 4: skin cells can live in the vapor of the nitrogen, 962 00:41:20,520 --> 00:41:24,880 Speaker 4: which is maybe ten degrees warmer the game eat cells, 963 00:41:24,880 --> 00:41:27,160 Speaker 4: sperm and eggs. They have to be submerged in the 964 00:41:27,160 --> 00:41:30,120 Speaker 4: liquid to stay at a true negative one hundred and 965 00:41:30,200 --> 00:41:32,160 Speaker 4: ninety six varies. 966 00:41:32,000 --> 00:41:33,640 Speaker 1: Even the height in theay. 967 00:41:33,640 --> 00:41:35,880 Speaker 4: You have to bring the level of the liquid nitrogen 968 00:41:35,960 --> 00:41:37,920 Speaker 4: all the way to the top. So that's why they 969 00:41:37,960 --> 00:41:41,440 Speaker 4: have different containers than ours. They keep theirs full. Ours 970 00:41:41,480 --> 00:41:44,360 Speaker 4: are in mostly vapor, and then the plant cells and 971 00:41:44,400 --> 00:41:45,839 Speaker 4: the stem cells have their own tank. 972 00:41:46,280 --> 00:41:48,200 Speaker 2: Wow. Wow, that is fast, isn't it? 973 00:41:48,200 --> 00:41:48,439 Speaker 1: Though? 974 00:41:48,640 --> 00:41:51,240 Speaker 2: Is there anything about the process that we haven't covered 975 00:41:51,280 --> 00:41:52,520 Speaker 2: yet that you want to make sure our audience knows 976 00:41:52,560 --> 00:41:54,080 Speaker 2: about it? We kind of cover everything here with the 977 00:41:54,160 --> 00:41:56,280 Speaker 2: tower and the cells and the freezing. 978 00:41:56,520 --> 00:41:59,920 Speaker 4: I think one thing that gets overlooked sometimes, and this 979 00:42:00,080 --> 00:42:01,759 Speaker 4: goes back to Arlene told me the story when the 980 00:42:01,800 --> 00:42:04,840 Speaker 4: frozen Zoo had about three hundred and fifty individuals, including 981 00:42:04,920 --> 00:42:08,239 Speaker 4: a whale. Really interesting things. Some of the animals. Ralph 982 00:42:08,239 --> 00:42:11,040 Speaker 4: Banershka talks about going to get with his dad. They 983 00:42:11,040 --> 00:42:13,480 Speaker 4: were banked in there, well, they were all in one tank. 984 00:42:13,840 --> 00:42:18,000 Speaker 4: There was a power failure. They lost every sample in there. 985 00:42:18,040 --> 00:42:20,839 Speaker 4: And she told me this story with this horrible look 986 00:42:20,880 --> 00:42:25,640 Speaker 4: in her eyes, and it really set into my memory 987 00:42:26,400 --> 00:42:30,120 Speaker 4: and my fear that this would happen. We can't have 988 00:42:30,200 --> 00:42:33,800 Speaker 4: this happen again. And I literally had nightmares after thought. 989 00:42:33,880 --> 00:42:36,440 Speaker 4: They divided into duplicate tanks, but they sat side by 990 00:42:36,480 --> 00:42:38,640 Speaker 4: side on the same power grid. If there was a 991 00:42:38,640 --> 00:42:41,000 Speaker 4: fire and earthquake, they were in the same location. And 992 00:42:41,080 --> 00:42:44,200 Speaker 4: so I was always having nightmares. And she finally said, Okay, 993 00:42:44,200 --> 00:42:45,799 Speaker 4: we got to stop your nightmares. We're going to move 994 00:42:45,840 --> 00:42:48,439 Speaker 4: this a fifteen minute walk away, and now it's about 995 00:42:48,440 --> 00:42:51,160 Speaker 4: a forty minute drive away. But I think what we 996 00:42:51,280 --> 00:42:54,120 Speaker 4: have to remember, besides growing the Frozen Zoo and adding 997 00:42:54,160 --> 00:42:55,800 Speaker 4: to it and all the things we're doing and sharing 998 00:42:55,840 --> 00:42:57,839 Speaker 4: it with people around the world, for all kinds of 999 00:42:58,320 --> 00:43:01,640 Speaker 4: studies that help humans and animals, mostly animals, but also 1000 00:43:01,680 --> 00:43:04,560 Speaker 4: can benefit humans, what we have to think about too, 1001 00:43:04,640 --> 00:43:07,840 Speaker 4: is that we can't ever lose any of these again 1002 00:43:07,960 --> 00:43:08,520 Speaker 4: like they did. 1003 00:43:09,000 --> 00:43:10,719 Speaker 5: So part of my job is curator. 1004 00:43:11,360 --> 00:43:13,680 Speaker 4: The huge responsibility as part of it is we have 1005 00:43:13,760 --> 00:43:16,120 Speaker 4: alarms on it, we have cameras on it, we get 1006 00:43:16,160 --> 00:43:18,480 Speaker 4: woken up in the night, security can call us if 1007 00:43:18,520 --> 00:43:20,440 Speaker 4: anything looks unusual. 1008 00:43:20,680 --> 00:43:22,800 Speaker 5: We've had a lot of close calls. 1009 00:43:22,600 --> 00:43:24,680 Speaker 4: And each time we do that, we put in another 1010 00:43:25,200 --> 00:43:26,840 Speaker 4: safeguard so that that will. 1011 00:43:26,640 --> 00:43:30,000 Speaker 5: Never happen again. And so to have lasted. 1012 00:43:29,560 --> 00:43:32,680 Speaker 4: Fifty years goes to this huge team of people who 1013 00:43:32,680 --> 00:43:35,680 Speaker 4: have been caring for it, including security and the team 1014 00:43:35,719 --> 00:43:37,879 Speaker 4: that grows the cells because it's so important to them. 1015 00:43:38,160 --> 00:43:40,720 Speaker 4: And sometimes it's just anybody who's in the building walking 1016 00:43:40,760 --> 00:43:43,200 Speaker 4: by and saying that doesn't look right, I'm going to 1017 00:43:43,239 --> 00:43:45,440 Speaker 4: call on the call down list. So we want to 1018 00:43:45,520 --> 00:43:47,440 Speaker 4: preserve what we have and we want to grow for 1019 00:43:47,480 --> 00:43:50,640 Speaker 4: the future, and we want to share that's awesome and 1020 00:43:50,640 --> 00:43:52,400 Speaker 4: get people doing this around the world so that it 1021 00:43:52,440 --> 00:43:52,960 Speaker 4: isn't this. 1022 00:43:53,680 --> 00:43:55,680 Speaker 5: Everything is here in San Diego. 1023 00:43:55,840 --> 00:43:58,399 Speaker 1: We want I get it good weather, we got Mexican food. 1024 00:43:58,520 --> 00:44:00,640 Speaker 3: I understand it. No, but that's a good call. I 1025 00:44:00,680 --> 00:44:03,160 Speaker 3: mean again, global global work together, We're gonna make that 1026 00:44:03,200 --> 00:44:04,400 Speaker 3: impact and protect everything. 1027 00:44:04,600 --> 00:44:04,839 Speaker 5: Right. 1028 00:44:05,160 --> 00:44:06,640 Speaker 2: Okay, so now you can tell her thank you for 1029 00:44:06,680 --> 00:44:07,200 Speaker 2: being here. 1030 00:44:07,120 --> 00:44:09,080 Speaker 1: Friend, thank you. That was really really great. 1031 00:44:09,120 --> 00:44:10,840 Speaker 3: I learned so much. I have more questions too, but 1032 00:44:10,880 --> 00:44:12,919 Speaker 3: that was super exciting. Thank you so much for sharing. 1033 00:44:12,960 --> 00:44:14,000 Speaker 2: You really appreciate your time. 1034 00:44:14,120 --> 00:44:16,480 Speaker 4: Sure come back anytime. Every day there's something new going 1035 00:44:16,520 --> 00:44:17,920 Speaker 4: on and we can't predict what it is. 1036 00:44:18,000 --> 00:44:19,000 Speaker 2: Good it sounds good. 1037 00:44:19,280 --> 00:44:24,680 Speaker 1: Thank you man. I learned so much. 1038 00:44:24,719 --> 00:44:26,960 Speaker 3: I mean in general idea of the Frozen Zoo, but 1039 00:44:27,040 --> 00:44:29,920 Speaker 3: all those nuances, oh, in the different teams. 1040 00:44:29,760 --> 00:44:31,080 Speaker 1: The different parts. 1041 00:44:31,120 --> 00:44:33,279 Speaker 3: I mean, she talked about bird eyes and whale eyes, 1042 00:44:33,400 --> 00:44:35,919 Speaker 3: you know, and outside of the conversation it wouldn't made sense. 1043 00:44:35,920 --> 00:44:38,279 Speaker 1: But that was super engaging. Hopefully our listeners learned a 1044 00:44:38,280 --> 00:44:38,600 Speaker 1: lot too. 1045 00:44:38,640 --> 00:44:41,040 Speaker 2: Yeah, and what I really appreciate too was her story 1046 00:44:41,080 --> 00:44:43,640 Speaker 2: and sharing in partnership with the Frozen Zoo. Story was 1047 00:44:43,719 --> 00:44:46,960 Speaker 2: just absolutely fascinating, but sort of the underlying tone there, 1048 00:44:47,040 --> 00:44:49,640 Speaker 2: or her story of studying something completely different, showed up 1049 00:44:49,680 --> 00:44:52,160 Speaker 2: to do this one thing, oh yeah, and then had 1050 00:44:52,160 --> 00:44:54,480 Speaker 2: no idea what the future held. It's that idea that 1051 00:44:54,840 --> 00:44:57,520 Speaker 2: just be opened opportunities and maybe anybody out there thinking 1052 00:44:57,520 --> 00:44:59,680 Speaker 2: about their career path or what they're doing, or not 1053 00:44:59,680 --> 00:45:02,879 Speaker 2: feeling they're in the right thing, be curious, try something new. 1054 00:45:02,920 --> 00:45:05,000 Speaker 2: If it doesn't work out, you've learned something, and if 1055 00:45:05,000 --> 00:45:06,560 Speaker 2: it does work out, I mean, look, she's a curator 1056 00:45:06,560 --> 00:45:08,920 Speaker 2: of the Frozen Zoo now, because she was like, yeah, 1057 00:45:08,920 --> 00:45:09,920 Speaker 2: I'll take a chance on this. 1058 00:45:10,040 --> 00:45:12,279 Speaker 3: She saw that door she stepped right through. So that's 1059 00:45:12,280 --> 00:45:14,960 Speaker 3: definitely something engaging and all the life here. Granted I 1060 00:45:15,040 --> 00:45:17,040 Speaker 3: just got pooed on by hummingbirdens and we were talking, 1061 00:45:17,200 --> 00:45:18,000 Speaker 3: but that's a part of it. 1062 00:45:18,360 --> 00:45:19,640 Speaker 2: I'm sure you hate it every moment. 1063 00:45:19,719 --> 00:45:20,439 Speaker 1: Yeah, I loved it. 1064 00:45:20,320 --> 00:45:21,880 Speaker 3: It was great, but you know, it's all about the 1065 00:45:22,000 --> 00:45:24,319 Speaker 3: visual components here and I'm really glad our listeners come 1066 00:45:24,360 --> 00:45:25,000 Speaker 3: in and check it out. 1067 00:45:25,040 --> 00:45:27,520 Speaker 1: But it made me think back at that last episode in. 1068 00:45:27,680 --> 00:45:30,480 Speaker 3: Education programs and kids can come here to the Beckam 1069 00:45:30,560 --> 00:45:33,000 Speaker 3: in the center all the different science programs we offer. 1070 00:45:33,080 --> 00:45:35,560 Speaker 3: So parents highly encourage you to check out our website 1071 00:45:35,640 --> 00:45:38,319 Speaker 3: right sz Safari Park dot org and learn about some 1072 00:45:38,360 --> 00:45:40,800 Speaker 3: of those programs of education that they can get involved 1073 00:45:40,840 --> 00:45:41,279 Speaker 3: in here well. 1074 00:45:41,280 --> 00:45:43,279 Speaker 2: And like Lisa in our last episode mention, even if 1075 00:45:43,320 --> 00:45:45,320 Speaker 2: you are looking for work in this type of world, 1076 00:45:45,440 --> 00:45:48,080 Speaker 2: oh yeah, but you're not here in San Diego. There 1077 00:45:48,120 --> 00:45:51,040 Speaker 2: are zoos around the nation, around the world that are 1078 00:45:51,160 --> 00:45:53,000 Speaker 2: doing similar work that you can be a part of 1079 00:45:53,000 --> 00:45:55,480 Speaker 2: and support your local zoo, go to the educational programs, 1080 00:45:55,560 --> 00:45:57,680 Speaker 2: or be a scientist or whatever it may be. Yeah, 1081 00:45:57,760 --> 00:45:59,920 Speaker 2: it's pretty exciting to think that we're a part of 1082 00:46:00,040 --> 00:46:01,879 Speaker 2: this big network and helping everybody out. 1083 00:46:01,840 --> 00:46:03,279 Speaker 3: One hundred percent of my friend and you know, even 1084 00:46:03,320 --> 00:46:05,520 Speaker 3: all that the humming bird's back. Oh a lot of 1085 00:46:05,520 --> 00:46:07,440 Speaker 3: wildlife going here at the park today. But with that, 1086 00:46:07,600 --> 00:46:10,120 Speaker 3: we're gonna talk about a very unique animal tea, right 1087 00:46:10,160 --> 00:46:13,040 Speaker 3: and kind of tied into the fiftieth anniversary. We talked 1088 00:46:13,080 --> 00:46:15,040 Speaker 3: about the past and now we're talking about the future, 1089 00:46:15,280 --> 00:46:17,680 Speaker 3: but kind of see an animal up close in center 1090 00:46:17,760 --> 00:46:20,240 Speaker 3: of some of the conservation work being done, right, Yeah, 1091 00:46:20,320 --> 00:46:24,120 Speaker 3: the Shavalski's first rider or the Mongolian wild horse. 1092 00:46:23,960 --> 00:46:25,080 Speaker 1: Which I'm super excited about. 1093 00:46:25,080 --> 00:46:27,160 Speaker 3: I know it's on a bird, but this animal is wicked, 1094 00:46:27,400 --> 00:46:29,719 Speaker 3: beautiful and we get to talk to wildlife care team too, 1095 00:46:29,840 --> 00:46:31,839 Speaker 3: and we got to say at the Safari Park, which 1096 00:46:31,840 --> 00:46:33,600 Speaker 3: I think, Amanda, you're excited about it. See right, we'll 1097 00:46:33,600 --> 00:46:35,200 Speaker 3: get our maybe on a on a bell hay or 1098 00:46:35,239 --> 00:46:35,920 Speaker 3: something funny like that. 1099 00:46:35,960 --> 00:46:37,360 Speaker 1: You're not not allergic, are you? 1100 00:46:37,440 --> 00:46:37,600 Speaker 2: Man? 1101 00:46:37,840 --> 00:46:39,239 Speaker 1: You know she's not allergic. We're good. 1102 00:46:39,480 --> 00:46:39,960 Speaker 2: I am but. 1103 00:46:42,560 --> 00:46:44,600 Speaker 3: Get excited about it, right, So it's gonna be a 1104 00:46:44,640 --> 00:46:45,320 Speaker 3: great transition. 1105 00:46:45,520 --> 00:46:48,280 Speaker 2: Yeah, so I think the value of this next visit. 1106 00:46:49,000 --> 00:46:51,640 Speaker 2: If you haven't listened already, check out the last episode 1107 00:46:51,640 --> 00:46:54,160 Speaker 2: of last season with Doctor Oli Ryder. He talks more 1108 00:46:54,200 --> 00:46:56,640 Speaker 2: about the pea horses we sometimes call them, and the 1109 00:46:56,760 --> 00:46:59,840 Speaker 2: tie into the frozens. Who's supporting actual wildlife and so 1110 00:47:00,000 --> 00:47:01,920 Speaker 2: we'll go out and see him. So if you haven't already, 1111 00:47:01,960 --> 00:47:03,960 Speaker 2: be sure to subscribe and then tune in next time 1112 00:47:04,000 --> 00:47:05,960 Speaker 2: when we get out in the wilds of the Safari 1113 00:47:06,000 --> 00:47:08,399 Speaker 2: Park to see one of these beautiful horses up close 1114 00:47:08,400 --> 00:47:14,560 Speaker 2: and personal. Can't wait now, markol and I'm Rick Schwartz. 1115 00:47:14,560 --> 00:47:21,520 Speaker 2: Thanks for listening and watching. For more information about the 1116 00:47:21,560 --> 00:47:23,960 Speaker 2: San Diego Zoo and San Diego Zoo Safari Park, go 1117 00:47:24,080 --> 00:47:29,320 Speaker 2: to SDZWA dot org. Amazing Wildlife is a production of iHeartRadio. 1118 00:47:29,600 --> 00:47:33,160 Speaker 2: Our supervising producers are Nikia Swinton and Dylan Fagan, and 1119 00:47:33,280 --> 00:47:36,640 Speaker 2: our sound designers are Sierra Spreen and Matt Russell. For 1120 00:47:36,719 --> 00:47:41,040 Speaker 2: more shows from iHeartRadio, check out the iHeartRadio app, Apple Podcasts, 1121 00:47:41,120 --> 00:47:47,160 Speaker 2: or wherever you listen to your favorite shows.