1 00:00:07,670 --> 00:00:04,789 welcome to apps icon 2022. 2 00:00:09,350 --> 00:00:07,680 i'm susan lozier president of asu 3 00:00:10,870 --> 00:00:09,360 and the dean of the college of sciences 4 00:00:12,950 --> 00:00:10,880 at georgia tech 5 00:00:14,950 --> 00:00:12,960 i'm delighted to welcome all of you who 6 00:00:16,550 --> 00:00:14,960 are here in atlanta and also i'm 7 00:00:18,310 --> 00:00:16,560 delighted to welcome all of the 8 00:00:21,189 --> 00:00:18,320 participants who are 9 00:00:23,830 --> 00:00:21,199 joining us virtually this morning 10 00:00:26,070 --> 00:00:23,840 as an oceanographer for the past several 11 00:00:29,189 --> 00:00:26,080 decades i've always been inspired by the 12 00:00:31,509 --> 00:00:29,199 romance and mystery of the sea 13 00:00:34,630 --> 00:00:31,519 and motivated by the immensity of what 14 00:00:36,630 --> 00:00:34,640 we don't know about this vast expense 15 00:00:38,310 --> 00:00:36,640 on our planet earth 16 00:00:40,630 --> 00:00:38,320 truth to tell i have always felt a 17 00:00:43,350 --> 00:00:40,640 little sorry for scientists studying 18 00:00:45,270 --> 00:00:43,360 more pedestrian topics 19 00:00:48,150 --> 00:00:45,280 however when considering your work in 20 00:00:50,069 --> 00:00:48,160 astrobiology i stand in awe 21 00:00:52,229 --> 00:00:50,079 hard to compete with your mysteries and 22 00:00:54,229 --> 00:00:52,239 your romances and the sense of vast 23 00:00:56,150 --> 00:00:54,239 possibilities 24 00:00:58,709 --> 00:00:56,160 a thousand years ago near the end of his 25 00:01:00,869 --> 00:00:58,719 life adelard of bath a natural 26 00:01:02,389 --> 00:01:00,879 philosopher who lived during the reign 27 00:01:05,030 --> 00:01:02,399 of henry the first 28 00:01:07,590 --> 00:01:05,040 compiled a list of 76 questions for 29 00:01:10,070 --> 00:01:07,600 which he did not know the answer 30 00:01:12,390 --> 00:01:10,080 among those questions was 31 00:01:16,390 --> 00:01:12,400 are the stars animate 32 00:01:18,469 --> 00:01:16,400 and if so what do they eat 33 00:01:20,550 --> 00:01:18,479 our human existence has been marked by 34 00:01:23,109 --> 00:01:20,560 staring at the night sky in wonder and 35 00:01:25,270 --> 00:01:23,119 considering the possibilities 36 00:01:28,070 --> 00:01:25,280 and our existence on this earth has been 37 00:01:30,630 --> 00:01:28,080 marked by a keen desire to understand 38 00:01:33,350 --> 00:01:30,640 how life began 39 00:01:35,910 --> 00:01:33,360 last week astronomers revealed the first 40 00:01:37,510 --> 00:01:35,920 photo of the black hole at the center of 41 00:01:39,270 --> 00:01:37,520 our galaxy 42 00:01:40,950 --> 00:01:39,280 and this week you're gathered here to 43 00:01:43,350 --> 00:01:40,960 carry on the work of generations of 44 00:01:45,830 --> 00:01:43,360 scientists that have probed the question 45 00:01:48,069 --> 00:01:45,840 of life in this universe 46 00:01:49,109 --> 00:01:48,079 appsicon is the perfect venue for that 47 00:01:52,069 --> 00:01:49,119 work 48 00:01:54,550 --> 00:01:52,079 the first apps icon in 2000 was held at 49 00:01:56,950 --> 00:01:54,560 nasa ames research center 50 00:01:59,429 --> 00:01:56,960 agu with continued support from the nasa 51 00:02:02,069 --> 00:01:59,439 community has been honored to take on 52 00:02:04,870 --> 00:02:02,079 the execution of this small but mighty 53 00:02:07,109 --> 00:02:04,880 meeting since 2018. 54 00:02:09,510 --> 00:02:07,119 while just over a thousand researchers 55 00:02:12,390 --> 00:02:09,520 gathered at that first abseicon 56 00:02:14,550 --> 00:02:12,400 today more than 800 planetary scientists 57 00:02:16,710 --> 00:02:14,560 biologists chemists astronomers 58 00:02:18,869 --> 00:02:16,720 engineers and even a few ocean 59 00:02:20,470 --> 00:02:18,879 scientists have gathered 60 00:02:22,309 --> 00:02:20,480 and forgot that gathering you have 61 00:02:23,910 --> 00:02:22,319 sessions that reflect many different 62 00:02:26,470 --> 00:02:23,920 disciplines in the earth and space 63 00:02:29,430 --> 00:02:26,480 scientists but mostly they reflect the 64 00:02:31,110 --> 00:02:29,440 melding of those disciplines 65 00:02:32,869 --> 00:02:31,120 i'm impressed by this community's 66 00:02:34,390 --> 00:02:32,879 compassion for interdisciplinary 67 00:02:36,710 --> 00:02:34,400 collaboration 68 00:02:38,550 --> 00:02:36,720 it even more so by its commitment to 69 00:02:40,869 --> 00:02:38,560 inclusivity 70 00:02:42,470 --> 00:02:40,879 as someone who started a science career 71 00:02:45,350 --> 00:02:42,480 when it was rare for someone who looked 72 00:02:48,470 --> 00:02:45,360 like me to be a scientist 73 00:02:50,869 --> 00:02:48,480 it is a delight to live to see 74 00:02:52,790 --> 00:02:50,879 listen to learn from 75 00:02:56,790 --> 00:02:52,800 and be inspired by everyone out there 76 00:02:59,589 --> 00:02:56,800 who looks just like you look a scientist 77 00:03:02,550 --> 00:02:59,599 while abzycon exemplifies agu's goal of 78 00:03:04,550 --> 00:03:02,560 creating inclusive scientific culture we 79 00:03:06,710 --> 00:03:04,560 are still a long way from an environment 80 00:03:09,350 --> 00:03:06,720 where individuals from all social 81 00:03:11,589 --> 00:03:09,360 economic and cultural backgrounds are 82 00:03:14,710 --> 00:03:11,599 equitably included 83 00:03:16,149 --> 00:03:14,720 i encourage everyone to hear to join agu 84 00:03:18,790 --> 00:03:16,159 and its continuing commitment to 85 00:03:22,070 --> 00:03:18,800 diversity equity and inclusion 86 00:03:24,229 --> 00:03:22,080 brilliance creativity and dedication are 87 00:03:25,670 --> 00:03:24,239 surely not the purview of a privileged 88 00:03:27,430 --> 00:03:25,680 view 89 00:03:29,430 --> 00:03:27,440 anyone who knows me know that knows that 90 00:03:30,949 --> 00:03:29,440 i am passionate about supporting and 91 00:03:34,149 --> 00:03:30,959 encouraging our next generation of 92 00:03:36,789 --> 00:03:34,159 scientists as such i encourage you all 93 00:03:39,190 --> 00:03:36,799 to participate in peer-to-peer mentoring 94 00:03:41,589 --> 00:03:39,200 through the brain date platform or sign 95 00:03:43,430 --> 00:03:41,599 up for mentoring 365 where you can 96 00:03:45,430 --> 00:03:43,440 develop one-on-one professional 97 00:03:46,949 --> 00:03:45,440 connections that last throughout the 98 00:03:49,270 --> 00:03:46,959 year 99 00:03:51,670 --> 00:03:49,280 that's all for me other than to consider 100 00:03:53,030 --> 00:03:51,680 what someone a thousand years from now 101 00:03:54,630 --> 00:03:53,040 will wonder when they look up in the 102 00:03:57,190 --> 00:03:54,640 night sky 103 00:03:59,030 --> 00:03:57,200 enjoy the week enjoy atlanta and enjoy 104 00:04:01,030 --> 00:03:59,040 each other's company 105 00:04:03,429 --> 00:04:01,040 and now please join me in welcoming 106 00:04:05,990 --> 00:04:03,439 frank rosenswag the science chair for 107 00:04:18,229 --> 00:04:06,000 absycon and luckily for me my georgia 108 00:04:22,870 --> 00:04:19,909 thank you for those 109 00:04:23,909 --> 00:04:22,880 beautiful and inspiring remarks 110 00:04:26,310 --> 00:04:23,919 um 111 00:04:30,790 --> 00:04:26,320 good morning astrobiologists 112 00:04:33,270 --> 00:04:30,800 uh i'm tickled to kick off our first day 113 00:04:35,189 --> 00:04:33,280 uh at amps icon by introducing our 114 00:04:38,710 --> 00:04:35,199 plenary speaker 115 00:04:40,070 --> 00:04:38,720 uh professor nicole king i first met dr 116 00:04:43,430 --> 00:04:40,080 king 117 00:04:46,070 --> 00:04:43,440 six years ago when she and her son nate 118 00:04:48,070 --> 00:04:46,080 uh traveled to montana to participate in 119 00:04:50,550 --> 00:04:48,080 an nai executive 120 00:04:51,749 --> 00:04:50,560 uh council meeting and workshop that 121 00:04:54,710 --> 00:04:51,759 workshop 122 00:04:56,629 --> 00:04:54,720 was on major evolutionary transitions in 123 00:04:58,790 --> 00:04:56,639 the history of life 124 00:05:00,469 --> 00:04:58,800 major transitions occur 125 00:05:03,830 --> 00:05:00,479 when a group of individuals that 126 00:05:07,510 --> 00:05:03,840 previously could replicate independently 127 00:05:10,230 --> 00:05:07,520 come together to form complex autonomous 128 00:05:12,070 --> 00:05:10,240 life forms for example genes coming 129 00:05:15,110 --> 00:05:12,080 together 130 00:05:17,830 --> 00:05:15,120 to form genomes archaea and eubacteria 131 00:05:20,550 --> 00:05:17,840 to form eukaryotes single cells 132 00:05:23,590 --> 00:05:20,560 coming together or staying together 133 00:05:26,550 --> 00:05:23,600 to form multicellular organisms 134 00:05:27,590 --> 00:05:26,560 so dr king regaled the nai with her 135 00:05:28,870 --> 00:05:27,600 unique 136 00:05:32,070 --> 00:05:28,880 insights 137 00:05:35,590 --> 00:05:32,080 into a transition that makes it possible 138 00:05:38,629 --> 00:05:35,600 for us to be here today in atlanta 139 00:05:40,629 --> 00:05:38,639 namely the advent of multicellularity in 140 00:05:43,510 --> 00:05:40,639 the evolutionary clade 141 00:05:45,830 --> 00:05:43,520 that gave rise to animals 142 00:05:47,590 --> 00:05:45,840 dr king's interests 143 00:05:49,749 --> 00:05:47,600 have lain at the intersection of 144 00:05:53,189 --> 00:05:49,759 evolution and development since their 145 00:05:55,110 --> 00:05:53,199 undergraduate days at indiana university 146 00:05:57,670 --> 00:05:55,120 there she worked under the supervision 147 00:06:00,870 --> 00:05:57,680 of tom kaufman studying how homeotic 148 00:06:03,590 --> 00:06:00,880 genes are regulated in drosophila 149 00:06:05,430 --> 00:06:03,600 for her dissertation research nicole 150 00:06:06,629 --> 00:06:05,440 worked with richard losic at harvard 151 00:06:09,430 --> 00:06:06,639 where she helped 152 00:06:12,230 --> 00:06:09,440 she helped to dissect the regulation of 153 00:06:13,510 --> 00:06:12,240 sporulation in the bacterium bacillus 154 00:06:15,749 --> 00:06:13,520 subtlest 155 00:06:17,670 --> 00:06:15,759 and thereafter dr king pursued 156 00:06:20,469 --> 00:06:17,680 postdoctoral studies 157 00:06:22,629 --> 00:06:20,479 with sean carroll at the university 158 00:06:25,749 --> 00:06:22,639 of wisconsin-madison where she helped 159 00:06:28,230 --> 00:06:25,759 pioneer the use of comparative genomics 160 00:06:30,070 --> 00:06:28,240 to eliminate deep branches in the tree 161 00:06:33,189 --> 00:06:30,080 of life 162 00:06:35,909 --> 00:06:33,199 since 2003 nicole has been a professor 163 00:06:38,070 --> 00:06:35,919 at the university of california berkeley 164 00:06:40,309 --> 00:06:38,080 where she's established herself as a 165 00:06:43,189 --> 00:06:40,319 world leader in the field of 166 00:06:44,870 --> 00:06:43,199 evolutionary developmental biology or 167 00:06:47,430 --> 00:06:44,880 evo devo 168 00:06:50,390 --> 00:06:47,440 she has been the recipient of numerous 169 00:06:51,589 --> 00:06:50,400 awards including a macarthur foundation 170 00:06:55,350 --> 00:06:51,599 fellowship 171 00:06:57,430 --> 00:06:55,360 a pew scholarship and she is currently a 172 00:07:00,629 --> 00:06:57,440 faculty investigator of the howard 173 00:07:03,670 --> 00:07:00,639 hughes medical institute 174 00:07:07,270 --> 00:07:03,680 aside from all of these honorifics i can 175 00:07:10,870 --> 00:07:07,280 attest that dr king is a a careful and a 176 00:07:13,909 --> 00:07:10,880 thoughtful mentor to her students 177 00:07:15,510 --> 00:07:13,919 an attentive mother to her son 178 00:07:17,830 --> 00:07:15,520 and a good friend 179 00:07:19,749 --> 00:07:17,840 to those of us lucky enough to claim 180 00:07:22,230 --> 00:07:19,759 that relation 181 00:07:26,070 --> 00:07:22,240 please join me in welcoming 182 00:07:27,909 --> 00:07:26,080 to abs icon 2022 dr nicole king who will 183 00:07:46,629 --> 00:07:27,919 treat us to a history 184 00:07:50,390 --> 00:07:48,950 i'm waiting for my presentation to load 185 00:07:52,469 --> 00:07:50,400 i guess 186 00:07:53,270 --> 00:07:52,479 okay good morning everybody 187 00:07:55,589 --> 00:07:53,280 um 188 00:07:57,670 --> 00:07:55,599 it's a real honor to be here 189 00:08:00,230 --> 00:07:57,680 when i first started my laboratory at 190 00:08:01,270 --> 00:08:00,240 the university of california at berkeley 191 00:08:03,350 --> 00:08:01,280 i was 192 00:08:05,670 --> 00:08:03,360 taken into the 193 00:08:07,670 --> 00:08:05,680 astrobiology community something i 194 00:08:09,189 --> 00:08:07,680 didn't even know about before and it 195 00:08:11,189 --> 00:08:09,199 really helped introduce me to the 196 00:08:12,950 --> 00:08:11,199 opportunities that come from 197 00:08:15,029 --> 00:08:12,960 interdisciplinary research and has 198 00:08:17,909 --> 00:08:15,039 really shaped the way i think about the 199 00:08:18,790 --> 00:08:17,919 problem of animal origins 200 00:08:23,830 --> 00:08:18,800 now 201 00:08:25,670 --> 00:08:23,840 i i actually was asking myself why am i 202 00:08:28,469 --> 00:08:25,680 uh invited to speak here what do i have 203 00:08:30,469 --> 00:08:28,479 to to share that might be of common 204 00:08:32,709 --> 00:08:30,479 interest to this community and i think 205 00:08:34,949 --> 00:08:32,719 one of the big challenges that we face 206 00:08:36,469 --> 00:08:34,959 as evolutionary biologists 207 00:08:39,589 --> 00:08:36,479 is to use 208 00:08:41,269 --> 00:08:39,599 um inference based on the little that 209 00:08:42,630 --> 00:08:41,279 amount of information that's available 210 00:08:45,190 --> 00:08:42,640 to us today 211 00:08:47,350 --> 00:08:45,200 to try to infer what happened 212 00:08:49,509 --> 00:08:47,360 tens or hundreds of millions of years 213 00:08:51,910 --> 00:08:49,519 ago and that will be the focus of my 214 00:08:53,430 --> 00:08:51,920 talk today but i think in similar 215 00:08:55,350 --> 00:08:53,440 challenge faces 216 00:08:56,710 --> 00:08:55,360 the astrobiology community in terms of 217 00:08:59,269 --> 00:08:56,720 thinking about how life might have 218 00:09:01,670 --> 00:08:59,279 evolved elsewhere and where might we 219 00:09:03,670 --> 00:09:01,680 find meaningful evidence so i hope that 220 00:09:05,430 --> 00:09:03,680 the story i'm about to tell you today 221 00:09:09,190 --> 00:09:05,440 will provide inspiration for thinking 222 00:09:11,190 --> 00:09:09,200 about those types of challenges 223 00:09:13,509 --> 00:09:11,200 i want to start by just 224 00:09:14,870 --> 00:09:13,519 reveling in the beauty of animal 225 00:09:16,550 --> 00:09:14,880 morphology 226 00:09:18,630 --> 00:09:16,560 and this i you know the incredible 227 00:09:19,910 --> 00:09:18,640 diversity of animal form that we see 228 00:09:21,350 --> 00:09:19,920 today 229 00:09:23,350 --> 00:09:21,360 and when i first started to learn about 230 00:09:24,230 --> 00:09:23,360 this pretty 231 00:09:27,430 --> 00:09:24,240 um 232 00:09:30,150 --> 00:09:27,440 what excited me and surprised me was to 233 00:09:33,750 --> 00:09:30,160 learn that all animals actually involve 234 00:09:35,190 --> 00:09:33,760 evolve from a single common ancestor 235 00:09:37,590 --> 00:09:35,200 and so 236 00:09:40,070 --> 00:09:37,600 if you look at this phylogenetic tree we 237 00:09:43,110 --> 00:09:40,080 can infer that all animals today have a 238 00:09:46,630 --> 00:09:43,120 common ancestor that's um indicated by 239 00:09:49,190 --> 00:09:46,640 this purple circle here and that 240 00:09:50,949 --> 00:09:49,200 we can study living animals today to try 241 00:09:52,470 --> 00:09:50,959 to reconstruct the biology of that 242 00:09:54,949 --> 00:09:52,480 organism 243 00:09:56,870 --> 00:09:54,959 in addition my particular focus has been 244 00:09:59,110 --> 00:09:56,880 on trying to reconstruct the organisms 245 00:10:01,190 --> 00:09:59,120 from which animals first evolved and in 246 00:10:03,509 --> 00:10:01,200 particular we're trying to figure out 247 00:10:04,470 --> 00:10:03,519 what was the nature of the single-celled 248 00:10:07,030 --> 00:10:04,480 organism 249 00:10:08,870 --> 00:10:07,040 that spawned the animal lineage 250 00:10:11,350 --> 00:10:08,880 how did that organism undergo the 251 00:10:13,750 --> 00:10:11,360 transition to multicellularity 252 00:10:15,829 --> 00:10:13,760 and how did sorry mechanisms that 253 00:10:18,870 --> 00:10:15,839 allowed cells to have different 254 00:10:20,790 --> 00:10:18,880 functions first of all how is it that 255 00:10:23,670 --> 00:10:20,800 cell differentiation arose in this 256 00:10:27,350 --> 00:10:24,790 so 257 00:10:30,630 --> 00:10:27,360 i should back up and say that there's no 258 00:10:32,790 --> 00:10:30,640 fossil record for the first animal or 259 00:10:35,190 --> 00:10:32,800 for for the animals from which or the 260 00:10:37,030 --> 00:10:35,200 organisms from which animals evolved and 261 00:10:39,269 --> 00:10:37,040 so for a long time 262 00:10:40,069 --> 00:10:39,279 um we knew very little 263 00:10:43,030 --> 00:10:40,079 but 264 00:10:45,430 --> 00:10:43,040 starting in the 1990s 265 00:10:47,190 --> 00:10:45,440 focus began to increase on a group of 266 00:10:48,949 --> 00:10:47,200 very special organisms called the 267 00:10:51,030 --> 00:10:48,959 choanoflagellates and these 268 00:10:52,949 --> 00:10:51,040 choanoflagellates are interesting and 269 00:10:55,190 --> 00:10:52,959 important for understanding animal 270 00:10:57,110 --> 00:10:55,200 origins because in fact they are our 271 00:10:59,350 --> 00:10:57,120 sister group they are our closest living 272 00:11:01,670 --> 00:10:59,360 relatives and this phylogenetic tree 273 00:11:04,230 --> 00:11:01,680 then shows the diversity of animals all 274 00:11:06,470 --> 00:11:04,240 with a single common ancestor that we 275 00:11:08,389 --> 00:11:06,480 call the ur metazoan 276 00:11:10,949 --> 00:11:08,399 and all coanoflagellates which are 277 00:11:13,670 --> 00:11:10,959 equally diverse to animals 278 00:11:15,190 --> 00:11:13,680 which share their own common ancestor 279 00:11:17,110 --> 00:11:15,200 and if we can compare the quantum 280 00:11:20,310 --> 00:11:17,120 flagellates to animals we can 281 00:11:22,550 --> 00:11:20,320 reconstruct the biology of that ancient 282 00:11:24,949 --> 00:11:22,560 ancestor of these two lineages which 283 00:11:26,310 --> 00:11:24,959 i'll call the urocoanazoin 284 00:11:29,030 --> 00:11:26,320 okay 285 00:11:31,190 --> 00:11:29,040 i've tried to keep terms to a minimum 286 00:11:33,509 --> 00:11:31,200 but uh but i'm going to use the phrase 287 00:11:35,590 --> 00:11:33,519 quantozoa to describe the group that 288 00:11:37,990 --> 00:11:35,600 includes choanoflagellates and animals 289 00:11:40,230 --> 00:11:38,000 and the orc choanozoan to denote their 290 00:11:41,990 --> 00:11:40,240 ancestor 291 00:11:44,310 --> 00:11:42,000 now what is a quantoflagellate maybe you 292 00:11:47,590 --> 00:11:44,320 haven't seen or heard of one before 293 00:11:50,069 --> 00:11:47,600 it's a single celled eukaryote 294 00:11:52,389 --> 00:11:50,079 it has a cell body that you can see here 295 00:11:54,710 --> 00:11:52,399 and a collar of these 296 00:11:56,949 --> 00:11:54,720 what are called microvilli these are 297 00:12:00,069 --> 00:11:56,959 long protrusions and in the center of 298 00:12:02,389 --> 00:12:00,079 this collar is a long flagellum and this 299 00:12:05,590 --> 00:12:02,399 has been described by the author ed 300 00:12:07,430 --> 00:12:05,600 young as sperm with a skirt and so you 301 00:12:09,590 --> 00:12:07,440 can actually imagine it swimming around 302 00:12:12,230 --> 00:12:09,600 with its flagellum but it has the skirt 303 00:12:14,870 --> 00:12:12,240 surrounding it the collar 304 00:12:17,350 --> 00:12:14,880 now the way the cell works is that the 305 00:12:20,069 --> 00:12:17,360 the flagellum beats back and forth 306 00:12:22,069 --> 00:12:20,079 inside that collar and this creates 307 00:12:24,069 --> 00:12:22,079 water currents that pull material out 308 00:12:25,509 --> 00:12:24,079 from the water column up against the 309 00:12:27,509 --> 00:12:25,519 collar and that's actually what the 310 00:12:29,269 --> 00:12:27,519 quantoflagella eats 311 00:12:31,829 --> 00:12:29,279 so the quanoflagel is actually a 312 00:12:33,670 --> 00:12:31,839 specialized feeding cell that swims 313 00:12:35,990 --> 00:12:33,680 around collecting bacteria against the 314 00:12:37,990 --> 00:12:36,000 collar and so you can see for size 315 00:12:40,310 --> 00:12:38,000 example here's a bacterium next to it's 316 00:12:42,629 --> 00:12:40,320 going to flagella that is about to eat 317 00:12:46,470 --> 00:12:44,949 we can zoom in on this color complex a 318 00:12:49,430 --> 00:12:46,480 little bit more carefully so these 319 00:12:51,030 --> 00:12:49,440 images on the right were taken from live 320 00:12:52,310 --> 00:12:51,040 cells and on the right you're going to 321 00:12:54,949 --> 00:12:52,320 see 322 00:12:57,430 --> 00:12:54,959 we can turn this structure so that you 323 00:12:59,430 --> 00:12:57,440 can actually peer into 324 00:13:02,550 --> 00:12:59,440 the collar itself 325 00:13:04,949 --> 00:13:02,560 so this is a fascinating structure 326 00:13:08,150 --> 00:13:04,959 that really is diagnostic for 327 00:13:11,269 --> 00:13:08,160 choanoflagellates if you go out into a 328 00:13:12,790 --> 00:13:11,279 body of water the ocean a pond a lake 329 00:13:14,790 --> 00:13:12,800 and you collect water and you see 330 00:13:16,310 --> 00:13:14,800 something with this structure it's a 331 00:13:18,230 --> 00:13:16,320 choanoflagellate 332 00:13:19,670 --> 00:13:18,240 with one exception 333 00:13:22,230 --> 00:13:19,680 and that is that the only other 334 00:13:24,550 --> 00:13:22,240 organisms out there that have a collar 335 00:13:27,990 --> 00:13:24,560 complex are the animals and so here's 336 00:13:29,670 --> 00:13:28,000 one example we're looking into a sponge 337 00:13:33,110 --> 00:13:29,680 and you can see that they have cells 338 00:13:35,030 --> 00:13:33,120 that are nearly identical with this long 339 00:13:37,509 --> 00:13:35,040 collar and then protruding out from the 340 00:13:40,150 --> 00:13:37,519 collar the flagellum 341 00:13:42,230 --> 00:13:40,160 here are 3d reconstructions on the left 342 00:13:44,230 --> 00:13:42,240 of a colonial choanoflagellate to show 343 00:13:45,189 --> 00:13:44,240 you the collar complex on each of these 344 00:13:50,150 --> 00:13:45,199 cells 345 00:13:52,389 --> 00:13:50,160 called choanocyte chamber in which you 346 00:13:54,870 --> 00:13:52,399 can see these collar cells now all 347 00:13:57,030 --> 00:13:54,880 clustered together and it turns out that 348 00:13:59,990 --> 00:13:57,040 even all of you have cells that have a 349 00:14:01,430 --> 00:14:00,000 collar complex these are cells that line 350 00:14:05,430 --> 00:14:01,440 your 351 00:14:07,030 --> 00:14:05,440 see that they all have this collar 352 00:14:10,069 --> 00:14:07,040 complex as well 353 00:14:12,670 --> 00:14:10,079 and in fact if we look across 354 00:14:14,550 --> 00:14:12,680 eukaryotic diversity the animals the 355 00:14:17,110 --> 00:14:14,560 choanoflagellates and many different 356 00:14:19,829 --> 00:14:17,120 diverse outgroups what we see is that 357 00:14:22,550 --> 00:14:19,839 all choanoflagellates and nearly all 358 00:14:25,509 --> 00:14:22,560 animals have the color complex but we 359 00:14:27,509 --> 00:14:25,519 never see them in non-coenozoins 360 00:14:30,150 --> 00:14:27,519 and so from this we infer that the 361 00:14:33,189 --> 00:14:30,160 collar complex was actually present in 362 00:14:35,269 --> 00:14:33,199 the last common ancestor the ercoanizone 363 00:14:37,509 --> 00:14:35,279 and probably evolved along this stem 364 00:14:40,310 --> 00:14:37,519 lineage 365 00:14:43,430 --> 00:14:40,320 so for this reason the community that's 366 00:14:45,670 --> 00:14:43,440 focused on studying animal origins has 367 00:14:47,829 --> 00:14:45,680 largely coalesced around 368 00:14:49,670 --> 00:14:47,839 the hypothesis that the progenitor of 369 00:14:51,430 --> 00:14:49,680 animals was a collared flagellate we 370 00:14:53,750 --> 00:14:51,440 know that there must have been a color 371 00:14:55,829 --> 00:14:53,760 complex in the last common ancestor of 372 00:14:57,750 --> 00:14:55,839 quantum flagellates and animals and so 373 00:14:59,590 --> 00:14:57,760 we infer that that ancestor was a 374 00:15:01,350 --> 00:14:59,600 flagellate with a collar 375 00:15:03,030 --> 00:15:01,360 that then evolved simple 376 00:15:04,629 --> 00:15:03,040 multicellularity 377 00:15:06,870 --> 00:15:04,639 and that the type of cell 378 00:15:09,590 --> 00:15:06,880 differentiation we see in modern animals 379 00:15:12,550 --> 00:15:09,600 must have evolved later 380 00:15:14,470 --> 00:15:12,560 so that's the working hypothesis that 381 00:15:16,710 --> 00:15:14,480 that has really dominated the field 382 00:15:17,430 --> 00:15:16,720 until recently 383 00:15:19,509 --> 00:15:17,440 but 384 00:15:21,590 --> 00:15:19,519 okay i got ahead of myself 385 00:15:23,829 --> 00:15:21,600 in addition 386 00:15:27,030 --> 00:15:23,839 we can reconstruct the biology of the 387 00:15:29,030 --> 00:15:27,040 first animal the or metazoan 388 00:15:30,949 --> 00:15:29,040 by comparing the biology of diverse 389 00:15:33,350 --> 00:15:30,959 animals and what we think is that the 390 00:15:37,030 --> 00:15:33,360 last common ancestor of animals 391 00:15:39,110 --> 00:15:37,040 was a simple multicellular organism with 392 00:15:41,509 --> 00:15:39,120 what's what we call an epithelium these 393 00:15:42,470 --> 00:15:41,519 are cells that stick tightly together 394 00:15:48,150 --> 00:15:42,480 and 395 00:15:50,389 --> 00:15:48,160 impermeable to the outside environment 396 00:15:52,790 --> 00:15:50,399 and that that that simple epithelium 397 00:15:54,389 --> 00:15:52,800 contained these collar cells or cells 398 00:15:57,269 --> 00:15:54,399 with a color complex 399 00:16:00,230 --> 00:15:57,279 and it ate bacteria but most importantly 400 00:16:02,470 --> 00:16:00,240 we also infer that it had simple cell 401 00:16:05,189 --> 00:16:02,480 differentiation including the 402 00:16:07,829 --> 00:16:05,199 differentiation between these 403 00:16:09,430 --> 00:16:07,839 columnar epithelial cells and another 404 00:16:11,430 --> 00:16:09,440 cell type that i'm going to talk about 405 00:16:13,990 --> 00:16:11,440 which are amoeboid cells or crawling 406 00:16:18,790 --> 00:16:16,550 okay crawling cells are central to 407 00:16:19,990 --> 00:16:18,800 animal biology in fact all of you are 408 00:16:21,829 --> 00:16:20,000 here 409 00:16:23,829 --> 00:16:21,839 because of an important group of 410 00:16:25,990 --> 00:16:23,839 crawling cells which are in your immune 411 00:16:26,870 --> 00:16:26,000 system and so this is one example right 412 00:16:29,590 --> 00:16:26,880 here 413 00:16:30,949 --> 00:16:29,600 and um and crawling cells actually exist 414 00:16:33,269 --> 00:16:30,959 throughout 415 00:16:35,110 --> 00:16:33,279 animal diversity and this picture down 416 00:16:36,629 --> 00:16:35,120 here is of crawling cells that are found 417 00:16:38,710 --> 00:16:36,639 in sponges 418 00:16:41,350 --> 00:16:38,720 now crawling cells are also found 419 00:16:43,030 --> 00:16:41,360 throughout uh eukaryotic diversity this 420 00:16:45,110 --> 00:16:43,040 single-celled amoeba there's not there's 421 00:16:47,189 --> 00:16:45,120 gonna be any volume on that sorry 422 00:16:49,430 --> 00:16:47,199 um 423 00:16:50,389 --> 00:16:49,440 there we go 424 00:16:53,430 --> 00:16:50,399 um 425 00:16:56,230 --> 00:16:53,440 so so crawling cells are found across 426 00:16:58,629 --> 00:16:56,240 eukaryotic diversity this is an example 427 00:17:01,189 --> 00:16:58,639 of an amoeba cell this is actually a 428 00:17:03,749 --> 00:17:01,199 relatively close animal or relative of 429 00:17:06,150 --> 00:17:03,759 the choanazola and ichthyospurian and 430 00:17:08,150 --> 00:17:06,160 even these early branching fungi that 431 00:17:09,829 --> 00:17:08,160 you can see here 432 00:17:11,510 --> 00:17:09,839 are able to crawl 433 00:17:13,829 --> 00:17:11,520 and so it looks like 434 00:17:15,990 --> 00:17:13,839 this crawling behavior is widespread and 435 00:17:18,150 --> 00:17:16,000 yet we don't know how it first evolved 436 00:17:19,590 --> 00:17:18,160 in animals 437 00:17:21,350 --> 00:17:19,600 okay hold on we're having a little bit 438 00:17:24,069 --> 00:17:21,360 of a lag here okay 439 00:17:26,870 --> 00:17:24,079 so to talk about this mystery i first 440 00:17:30,710 --> 00:17:26,880 need to uh reintroduce some of you to 441 00:17:33,190 --> 00:17:30,720 earns techel so ernst heckle is 442 00:17:35,110 --> 00:17:33,200 actually one of his major contributions 443 00:17:37,430 --> 00:17:35,120 to biology has been the invention of a 444 00:17:40,310 --> 00:17:37,440 lot of important terminology including 445 00:17:42,310 --> 00:17:40,320 the word phylogeny so he's the one who 446 00:17:44,470 --> 00:17:42,320 first 447 00:17:47,029 --> 00:17:44,480 started drawing these kinds of trees 448 00:17:48,870 --> 00:17:47,039 showing his inferred 449 00:17:50,630 --> 00:17:48,880 what he inferred to be the relationship 450 00:17:52,789 --> 00:17:50,640 between different groups of organisms so 451 00:17:55,909 --> 00:17:52,799 on the left here we have his depiction 452 00:17:58,230 --> 00:17:55,919 of phylogeny but one of the hypotheses 453 00:18:00,950 --> 00:17:58,240 for which he's best known is this idea 454 00:18:03,909 --> 00:18:00,960 that ontogeny or development 455 00:18:06,710 --> 00:18:03,919 recapitulates phylogeny and so the idea 456 00:18:09,990 --> 00:18:06,720 here is that as an organism particularly 457 00:18:12,830 --> 00:18:10,000 an animal goes through development it 458 00:18:13,990 --> 00:18:12,840 essentially reflects 459 00:18:16,710 --> 00:18:14,000 evolutionary um 460 00:18:19,270 --> 00:18:16,720 the the biology of the ancestors from 461 00:18:21,510 --> 00:18:19,280 which it evolved and this has been this 462 00:18:23,190 --> 00:18:21,520 hypothesis has been highly controversial 463 00:18:25,510 --> 00:18:23,200 and it's not the main focus of what i'm 464 00:18:27,029 --> 00:18:25,520 going to talk about today um but i 465 00:18:29,510 --> 00:18:27,039 wanted you to have the sense that when 466 00:18:34,150 --> 00:18:29,520 he looked at developmental processes 467 00:18:35,750 --> 00:18:34,160 what he saw was evolution unfolding 468 00:18:37,909 --> 00:18:35,760 and so heckle 469 00:18:40,310 --> 00:18:37,919 actually hypothesized that the first 470 00:18:41,750 --> 00:18:40,320 animal was not a flagellate but instead 471 00:18:44,230 --> 00:18:41,760 an amoeba 472 00:18:46,230 --> 00:18:44,240 and so the reason that he did this was 473 00:18:48,630 --> 00:18:46,240 that when he looked at the biology of 474 00:18:50,870 --> 00:18:48,640 sponges which he was one of the first to 475 00:18:52,549 --> 00:18:50,880 propose that sponges were actually 476 00:18:54,789 --> 00:18:52,559 animals 477 00:18:58,470 --> 00:18:54,799 he recognized that some sponges or mini 478 00:19:00,870 --> 00:18:58,480 sponges actually had an amoeboid zygote 479 00:19:03,430 --> 00:19:00,880 so not a flagellate but an amoeba and so 480 00:19:04,789 --> 00:19:03,440 based on that he actually proposed that 481 00:19:06,950 --> 00:19:04,799 there might have been an amoeboid 482 00:19:08,870 --> 00:19:06,960 ancestry for animals and you can see 483 00:19:11,110 --> 00:19:08,880 further stages in his 484 00:19:13,029 --> 00:19:11,120 hypotheses about the intersection 485 00:19:15,430 --> 00:19:13,039 between development and evolution 486 00:19:17,350 --> 00:19:15,440 because as animals evolved they form 487 00:19:19,270 --> 00:19:17,360 these simple balls of cells called a 488 00:19:21,909 --> 00:19:19,280 morula 489 00:19:24,549 --> 00:19:21,919 followed by this blastula stage a hollow 490 00:19:26,870 --> 00:19:24,559 ball of cells but now with flagella 491 00:19:28,950 --> 00:19:26,880 and then this gastrulation stage and so 492 00:19:30,630 --> 00:19:28,960 based on this heckle huckel really held 493 00:19:33,190 --> 00:19:30,640 strongly to this idea that the first 494 00:19:35,350 --> 00:19:33,200 animal was amiiboit of course he didn't 495 00:19:37,510 --> 00:19:35,360 have access to the type of data that i 496 00:19:39,510 --> 00:19:37,520 just showed you about the universality 497 00:19:41,830 --> 00:19:39,520 of the cholera complex 498 00:19:42,870 --> 00:19:41,840 now a deep rival at the time they 499 00:19:44,630 --> 00:19:42,880 actually 500 00:19:46,150 --> 00:19:44,640 hated each other 501 00:19:51,110 --> 00:19:46,160 um 502 00:19:53,350 --> 00:19:51,120 was william savile kent and samuel kent 503 00:19:55,510 --> 00:19:53,360 actually first of all did not agree with 504 00:19:58,230 --> 00:19:55,520 the idea that sponges were animals but 505 00:19:59,110 --> 00:19:58,240 in addition felt that heckle's idea 506 00:20:01,990 --> 00:19:59,120 about 507 00:20:04,230 --> 00:20:02,000 amoeba and amoeba being the ancestral 508 00:20:05,830 --> 00:20:04,240 state for animals was incorrect 509 00:20:08,390 --> 00:20:05,840 and part of his argument was his 510 00:20:11,350 --> 00:20:08,400 discovery of this organism that he named 511 00:20:14,230 --> 00:20:11,360 after heckle as sort of a a dig 512 00:20:15,909 --> 00:20:14,240 um which he called protospongia hecleyi 513 00:20:17,510 --> 00:20:15,919 and this was an interesting organism 514 00:20:19,990 --> 00:20:17,520 because they had these collar cells on 515 00:20:21,270 --> 00:20:20,000 the periphery but it had amoeboid cells 516 00:20:23,750 --> 00:20:21,280 in the middle 517 00:20:25,669 --> 00:20:23,760 interestingly enough nobody has ever 518 00:20:28,950 --> 00:20:25,679 seen this organism again and there's 519 00:20:31,510 --> 00:20:28,960 been quite a bit of uh speculation that 520 00:20:34,390 --> 00:20:31,520 savile kent who who had many moral 521 00:20:36,870 --> 00:20:34,400 failings might have just made it up and 522 00:20:40,149 --> 00:20:36,880 i'll leave you to decide what you think 523 00:20:41,029 --> 00:20:40,159 based on what i'm about to show you 524 00:20:42,950 --> 00:20:41,039 so 525 00:20:45,110 --> 00:20:42,960 what can we learn from choanoflagellates 526 00:20:47,830 --> 00:20:45,120 about this mystery we're crawling cells 527 00:20:49,430 --> 00:20:47,840 in the first animals or 528 00:20:52,870 --> 00:20:49,440 or 529 00:20:55,510 --> 00:20:52,880 animal lineage 530 00:20:57,669 --> 00:20:55,520 now coinoflagellates are actually named 531 00:20:58,950 --> 00:20:57,679 for the flagellum they are iconic 532 00:21:00,549 --> 00:20:58,960 flagellates 533 00:21:02,230 --> 00:21:00,559 they have only been observed in a 534 00:21:03,909 --> 00:21:02,240 flagellated state every single 535 00:21:05,990 --> 00:21:03,919 choanoflagellate that's been identified 536 00:21:09,990 --> 00:21:06,000 has a flagellum and i'm showing you some 537 00:21:13,830 --> 00:21:11,510 nonetheless 538 00:21:15,750 --> 00:21:13,840 this very brave postdoc tebow brunei 539 00:21:17,430 --> 00:21:15,760 who's in the middle of this picture here 540 00:21:18,549 --> 00:21:17,440 these other two characters will come in 541 00:21:20,549 --> 00:21:18,559 later 542 00:21:22,470 --> 00:21:20,559 came to my lab 543 00:21:25,669 --> 00:21:22,480 focused on this question of how cell 544 00:21:28,070 --> 00:21:25,679 contractility which is the cellular 545 00:21:29,350 --> 00:21:28,080 process that has to happen for cells to 546 00:21:31,110 --> 00:21:29,360 crawl 547 00:21:33,190 --> 00:21:31,120 how that might have first evolved and he 548 00:21:34,950 --> 00:21:33,200 wanted to look for this to address this 549 00:21:36,710 --> 00:21:34,960 question in choanoflagellates which i 550 00:21:39,029 --> 00:21:36,720 thought was foolhardy since they are 551 00:21:40,470 --> 00:21:39,039 only flagellates and never crawl 552 00:21:43,270 --> 00:21:40,480 but i was wrong 553 00:21:45,270 --> 00:21:43,280 and uh and and 554 00:21:47,510 --> 00:21:45,280 this was proven to me when tevo came 555 00:21:49,909 --> 00:21:47,520 rushing to my office to show me that in 556 00:21:52,149 --> 00:21:49,919 fact quantoflagellates ca could convert 557 00:21:53,830 --> 00:21:52,159 into an amoeboid cell and so here what 558 00:21:55,830 --> 00:21:53,840 you see on the left are two 559 00:21:57,990 --> 00:21:55,840 choanoflagellate cells that have been 560 00:22:00,149 --> 00:21:58,000 converted into this amoeboid state and 561 00:22:02,310 --> 00:22:00,159 on the right our cells are the same 562 00:22:04,630 --> 00:22:02,320 cells in which a particular protein has 563 00:22:07,029 --> 00:22:04,640 been labeled in red 564 00:22:10,549 --> 00:22:08,870 so hopefully you can see now that rather 565 00:22:13,270 --> 00:22:10,559 than swimming around beating their 566 00:22:15,750 --> 00:22:13,280 flagellum these are now moving around on 567 00:22:19,430 --> 00:22:15,760 the substrate by sending out these blebs 568 00:22:21,510 --> 00:22:19,440 and kind of crawling across surfaces 569 00:22:24,950 --> 00:22:21,520 now the way this happens the way he was 570 00:22:27,430 --> 00:22:24,960 able to induce this switch is through a 571 00:22:29,510 --> 00:22:27,440 process of cell confinement and so what 572 00:22:31,510 --> 00:22:29,520 you can see is how this works so on the 573 00:22:33,110 --> 00:22:31,520 left the quanta flagellates are allowed 574 00:22:33,990 --> 00:22:33,120 to swim around freely in the water 575 00:22:35,430 --> 00:22:34,000 column 576 00:22:38,310 --> 00:22:35,440 but on the right 577 00:22:41,350 --> 00:22:38,320 um he was able to apply 578 00:22:43,590 --> 00:22:41,360 apply confinement through this structure 579 00:22:45,909 --> 00:22:43,600 that with it has these little tiny micro 580 00:22:48,230 --> 00:22:45,919 spacers that he just inverted right down 581 00:22:50,549 --> 00:22:48,240 onto the choanoflagellates and what you 582 00:22:52,470 --> 00:22:50,559 can see is that that had produced a 583 00:22:56,230 --> 00:22:52,480 defined space in which the 584 00:22:57,110 --> 00:22:56,240 coanoflagellates would become squeezed 585 00:22:59,350 --> 00:22:57,120 so 586 00:23:02,630 --> 00:22:59,360 this is a data heavy slide but the sim 587 00:23:04,870 --> 00:23:02,640 the point i want to make is that this 588 00:23:07,270 --> 00:23:04,880 conversion from being a flagellate to a 589 00:23:09,270 --> 00:23:07,280 single cell can be tightly regulated by 590 00:23:11,350 --> 00:23:09,280 the level of confinement and so on the 591 00:23:12,549 --> 00:23:11,360 left you can see examples of cells that 592 00:23:14,710 --> 00:23:12,559 have been 593 00:23:17,510 --> 00:23:14,720 introduced to 594 00:23:19,510 --> 00:23:17,520 greater and greater confinement 595 00:23:21,190 --> 00:23:19,520 in this graph what you're seeing is the 596 00:23:24,390 --> 00:23:21,200 fraction of the cells with these 597 00:23:26,149 --> 00:23:24,400 protrusions that typify crawling cells 598 00:23:28,070 --> 00:23:26,159 and hopefully you can see that there's 599 00:23:30,710 --> 00:23:28,080 this reproducible 600 00:23:32,950 --> 00:23:30,720 production of cells with with dynamic 601 00:23:34,870 --> 00:23:32,960 protrusions as we increase the 602 00:23:35,750 --> 00:23:34,880 confinement or decrease the available 603 00:23:37,270 --> 00:23:35,760 space 604 00:23:39,270 --> 00:23:37,280 and then on the bottom 605 00:23:42,310 --> 00:23:39,280 it's meant to show you these are stills 606 00:23:44,149 --> 00:23:42,320 from movies that show you that 607 00:23:46,710 --> 00:23:44,159 the cells can be converted from being 608 00:23:51,190 --> 00:23:46,720 flagellates to amoeboids and then back 609 00:23:57,190 --> 00:23:54,310 so i thought that was super cool 610 00:23:59,830 --> 00:23:57,200 i had never seen a coinoflagelet be a 611 00:24:02,070 --> 00:23:59,840 crawling cell before but i was highly 612 00:24:03,909 --> 00:24:02,080 skeptical because of the way in which 613 00:24:06,149 --> 00:24:03,919 the transition was induced it seemed 614 00:24:08,149 --> 00:24:06,159 very artificial and it was hard for me 615 00:24:10,470 --> 00:24:08,159 to imagine when a quantum flagellate 616 00:24:13,190 --> 00:24:10,480 might ever encounter such confinement 617 00:24:15,269 --> 00:24:13,200 but here again i was wrong and that is 618 00:24:17,590 --> 00:24:15,279 because choanoflagellates 619 00:24:21,110 --> 00:24:17,600 sequences from quanta flagellates had 620 00:24:24,070 --> 00:24:21,120 actually been detected in silts that 621 00:24:26,870 --> 00:24:24,080 have um the same amount of space between 622 00:24:29,830 --> 00:24:26,880 grains that we see in our experiments 623 00:24:32,549 --> 00:24:29,840 that induce uh amoeboid the conversion 624 00:24:34,710 --> 00:24:32,559 to an amoeboid state and so actually we 625 00:24:37,269 --> 00:24:34,720 know that choanoflagellates exist in 626 00:24:39,110 --> 00:24:37,279 highly confined environments but they've 627 00:24:40,870 --> 00:24:39,120 never been studied in that context 628 00:24:43,830 --> 00:24:40,880 before because it wasn't recognized that 629 00:24:50,070 --> 00:24:46,870 so why are they converting to this 630 00:24:51,830 --> 00:24:50,080 amoeboid state under confinement and so 631 00:24:53,990 --> 00:24:51,840 what you're seeing here on the left is 632 00:24:56,230 --> 00:24:54,000 one of these micro pillars that's 633 00:24:58,310 --> 00:24:56,240 confining the choanoflagellates and the 634 00:25:00,789 --> 00:24:58,320 cells that are outside the circle are 635 00:25:02,789 --> 00:25:00,799 actually free to swim and what you can 636 00:25:05,190 --> 00:25:02,799 see if you focus on individuals that are 637 00:25:07,190 --> 00:25:05,200 near the edge of this pillar 638 00:25:08,710 --> 00:25:07,200 they actually send out protrusions and 639 00:25:11,110 --> 00:25:08,720 are able to 640 00:25:13,269 --> 00:25:11,120 escape from confinement 641 00:25:15,350 --> 00:25:13,279 so hopefully this movie will play yes 642 00:25:16,870 --> 00:25:15,360 and so you can focus on individual cells 643 00:25:18,950 --> 00:25:16,880 that are near the 644 00:25:20,710 --> 00:25:18,960 periphery and you can see that they can 645 00:25:23,510 --> 00:25:20,720 actually escape and i'll show you this 646 00:25:25,830 --> 00:25:23,520 in a zoom in in a moment 647 00:25:27,909 --> 00:25:25,840 okay so we're going to zoom in 648 00:25:29,590 --> 00:25:27,919 now we're just looking at one cell 649 00:25:31,669 --> 00:25:29,600 that's near the edge of one of these 650 00:25:33,669 --> 00:25:31,679 pillars here it is 651 00:25:36,230 --> 00:25:33,679 here it is in fluorescent form and the 652 00:25:38,070 --> 00:25:36,240 point here is that we can actually 653 00:25:40,230 --> 00:25:38,080 segment these so that we can quantify 654 00:25:41,510 --> 00:25:40,240 this behavior and so i'm going to start 655 00:25:43,990 --> 00:25:41,520 the movie and you're going to see that 656 00:25:45,750 --> 00:25:44,000 the the cell actually crawls out from 657 00:25:51,269 --> 00:25:45,760 the confinement and then it can convert 658 00:25:55,669 --> 00:25:53,830 okay so is this something special to the 659 00:25:58,230 --> 00:25:55,679 one choanoflagellate we've been studying 660 00:26:00,789 --> 00:25:58,240 or is it widespread and in fact this 661 00:26:02,630 --> 00:26:00,799 amoeboid behavior seems to exist in 662 00:26:04,789 --> 00:26:02,640 every choanoflagellate that tebow has 663 00:26:06,950 --> 00:26:04,799 looked at so this is a 664 00:26:09,110 --> 00:26:06,960 fundamental highly conserved behavior of 665 00:26:11,029 --> 00:26:09,120 these cells but one that had not 666 00:26:16,390 --> 00:26:11,039 previously been observed because people 667 00:26:20,549 --> 00:26:18,310 and this is actually very interesting 668 00:26:23,830 --> 00:26:20,559 because it parallels a cell biology that 669 00:26:26,710 --> 00:26:23,840 we see in animals called the epithelial 670 00:26:28,310 --> 00:26:26,720 mesenchymal transition in which the cell 671 00:26:31,029 --> 00:26:28,320 types that have 672 00:26:32,710 --> 00:26:31,039 collar complexes shown here on the left 673 00:26:35,909 --> 00:26:32,720 the epithelia 674 00:26:38,310 --> 00:26:35,919 can convert into crawling type cells or 675 00:26:40,789 --> 00:26:38,320 contractile cells here on the right and 676 00:26:43,830 --> 00:26:40,799 they do this in part in response to 677 00:26:47,190 --> 00:26:43,840 confinement and compression 678 00:26:48,789 --> 00:26:47,200 and so what we see now is that 679 00:26:50,549 --> 00:26:48,799 and i'm bringing together a lot of 680 00:26:52,789 --> 00:26:50,559 evidence not just from what i just told 681 00:26:55,430 --> 00:26:52,799 you but from the field in general is 682 00:26:57,190 --> 00:26:55,440 that choanoflagellates are capable of 683 00:26:59,430 --> 00:26:57,200 converting from a flagellate to an 684 00:27:01,269 --> 00:26:59,440 amoeboid cell and even to an 685 00:27:03,830 --> 00:27:01,279 intermediate cell called an amoeba 686 00:27:06,470 --> 00:27:03,840 flagellate i told you previously that 687 00:27:08,870 --> 00:27:06,480 sponges can exist both as 688 00:27:10,549 --> 00:27:08,880 these amoeboid cells called archaeocytes 689 00:27:13,669 --> 00:27:10,559 but also as 690 00:27:16,710 --> 00:27:13,679 color cells koanocytes and vertebrates 691 00:27:19,590 --> 00:27:16,720 also undergo these types of transitions 692 00:27:21,269 --> 00:27:19,600 and so what this suggests is that animal 693 00:27:23,750 --> 00:27:21,279 amoeboid cells 694 00:27:25,990 --> 00:27:23,760 that we see the hard hard programmed 695 00:27:27,990 --> 00:27:26,000 into the developmental program might 696 00:27:29,750 --> 00:27:28,000 actually evolve from a phenotype that 697 00:27:31,990 --> 00:27:29,760 was regulated by the environment 698 00:27:33,990 --> 00:27:32,000 previously and so that's what this shows 699 00:27:35,269 --> 00:27:34,000 here choanoflagellates and animals are 700 00:27:36,870 --> 00:27:35,279 sister group 701 00:27:38,950 --> 00:27:36,880 we think that they evolved from an 702 00:27:41,269 --> 00:27:38,960 organism that was capable of alternating 703 00:27:42,710 --> 00:27:41,279 between an amoeboid and a flagellated 704 00:27:45,590 --> 00:27:42,720 cell type so that there was this 705 00:27:47,990 --> 00:27:45,600 plasticity and that within the animals 706 00:27:49,430 --> 00:27:48,000 the reason that we're able to get this 707 00:27:51,990 --> 00:27:49,440 well-programmed 708 00:27:53,430 --> 00:27:52,000 cell differentiation is that that switch 709 00:27:55,110 --> 00:27:53,440 between the amoeboid cell and the 710 00:27:57,430 --> 00:27:55,120 flagellated cell 711 00:28:00,149 --> 00:27:57,440 became hardwired into the developmental 712 00:28:04,070 --> 00:28:03,110 okay so that was our first hint 713 00:28:07,750 --> 00:28:04,080 that 714 00:28:09,269 --> 00:28:07,760 the prevailing idea about animal origins 715 00:28:12,070 --> 00:28:09,279 and the nature of the cells from which 716 00:28:13,990 --> 00:28:12,080 animals might have evolved was not wrong 717 00:28:16,630 --> 00:28:14,000 but incomplete 718 00:28:19,430 --> 00:28:16,640 it showed us that these simple seemingly 719 00:28:21,990 --> 00:28:19,440 simple cells were able to take on many 720 00:28:23,510 --> 00:28:22,000 different cellular behaviors 721 00:28:26,710 --> 00:28:23,520 in response to changes in the 722 00:28:29,590 --> 00:28:26,720 environment and it suggested that 723 00:28:31,909 --> 00:28:29,600 much of the the hardware for making 724 00:28:34,149 --> 00:28:31,919 different cell types might have predated 725 00:28:36,470 --> 00:28:34,159 animal origins 726 00:28:39,190 --> 00:28:36,480 and simply become become 727 00:28:42,070 --> 00:28:39,200 more strictly hardwired in animals 728 00:28:43,990 --> 00:28:42,080 so i'm going to tell you about a similar 729 00:28:45,990 --> 00:28:44,000 unexpected finding that came out of 730 00:28:48,630 --> 00:28:46,000 field work that really has given us more 731 00:28:49,669 --> 00:28:48,640 insight into the ancestral biology of 732 00:28:51,990 --> 00:28:49,679 animals 733 00:28:53,990 --> 00:28:52,000 and this again was work uh 734 00:28:56,230 --> 00:28:54,000 that included tebow brunei who now has 735 00:28:58,149 --> 00:28:56,240 his own lab at the uh pastor institute 736 00:29:00,789 --> 00:28:58,159 in paris and two graduate students at 737 00:29:03,110 --> 00:29:00,799 the time tess linden and ben larson and 738 00:29:05,830 --> 00:29:03,120 we joke that this picture actually 739 00:29:07,909 --> 00:29:05,840 depicts the way they were uh as 740 00:29:10,149 --> 00:29:07,919 researchers been diving in 741 00:29:10,950 --> 00:29:10,159 full-heartedly this is a hyper saline 742 00:29:12,149 --> 00:29:10,960 lake 743 00:29:14,149 --> 00:29:12,159 tests 744 00:29:17,029 --> 00:29:14,159 documenting everything very carefully 745 00:29:19,110 --> 00:29:17,039 and analyzing it and then tebow uh 746 00:29:21,029 --> 00:29:19,120 is the uh you know 747 00:29:22,950 --> 00:29:21,039 supervising and making sure everything 748 00:29:25,269 --> 00:29:22,960 is done properly so he was ready to be a 749 00:29:28,070 --> 00:29:25,279 pi at that point um 750 00:29:31,269 --> 00:29:28,080 okay so when we went to curse sound to 751 00:29:32,470 --> 00:29:31,279 do field work um it was as part of a a 752 00:29:34,310 --> 00:29:32,480 group that was 753 00:29:37,029 --> 00:29:34,320 looking at microbial ecology in 754 00:29:38,950 --> 00:29:37,039 particular around coral reefs 755 00:29:40,549 --> 00:29:38,960 but we were particularly interested in 756 00:29:43,669 --> 00:29:40,559 understanding what was the diversity of 757 00:29:46,070 --> 00:29:43,679 coinoflagellates on this island and i 758 00:29:47,750 --> 00:29:46,080 i'm not a field biologist i'm learning 759 00:29:49,190 --> 00:29:47,760 to be a field biologist and i wasn't 760 00:29:52,149 --> 00:29:49,200 sure what we could do that would be 761 00:29:55,029 --> 00:29:52,159 useful but i thought you know just as a 762 00:29:57,029 --> 00:29:55,039 to set a low bar um we would start by 763 00:29:59,830 --> 00:29:57,039 simply describing quantum flagellate 764 00:30:01,590 --> 00:29:59,840 diversity so we went all over the island 765 00:30:03,350 --> 00:30:01,600 collecting in lots of different places 766 00:30:04,710 --> 00:30:03,360 and then bringing them back to the 767 00:30:07,029 --> 00:30:04,720 bringing the water samples back to the 768 00:30:08,149 --> 00:30:07,039 marine station to look at what we found 769 00:30:10,789 --> 00:30:08,159 and see if there was anything 770 00:30:16,070 --> 00:30:14,070 and so we did this for about a week uh 771 00:30:17,750 --> 00:30:16,080 and we found you know pretty 772 00:30:21,269 --> 00:30:17,760 run-of-the-mill quanoflagel it's nothing 773 00:30:23,350 --> 00:30:21,279 exciting until we sampled from 774 00:30:25,669 --> 00:30:23,360 what i've learned is called a splash 775 00:30:27,510 --> 00:30:25,679 pool so this is actually a very harsh 776 00:30:29,750 --> 00:30:27,520 environment this is on the windward side 777 00:30:31,430 --> 00:30:29,760 of this island of curacao 778 00:30:33,190 --> 00:30:31,440 in the background you might be able to 779 00:30:34,310 --> 00:30:33,200 see the 780 00:30:37,669 --> 00:30:34,320 windmills 781 00:30:41,190 --> 00:30:37,679 it's very warm it's in the the mid to 782 00:30:43,350 --> 00:30:41,200 upper 80s um warm to a californian sorry 783 00:30:45,510 --> 00:30:43,360 um 784 00:30:47,750 --> 00:30:45,520 and there are these little pools that 785 00:30:50,310 --> 00:30:47,760 are in fact not tide pools they're not 786 00:30:52,470 --> 00:30:50,320 fed by the tide but they're fed by spray 787 00:30:55,510 --> 00:30:52,480 or splash coming off of these waves 788 00:30:57,190 --> 00:30:55,520 crashing and so these pools vary quite a 789 00:31:00,310 --> 00:30:57,200 bit they're they're sort of an extreme 790 00:31:01,190 --> 00:31:00,320 environment because they get very warm 791 00:31:03,669 --> 00:31:01,200 they 792 00:31:05,830 --> 00:31:03,679 evaporate and become hyper saline and 793 00:31:09,110 --> 00:31:05,840 there's a lot of interesting biology 794 00:31:11,909 --> 00:31:09,120 in these pools so when tebow and 795 00:31:14,149 --> 00:31:11,919 tess and ben sampled from this pool and 796 00:31:16,870 --> 00:31:14,159 brought it back they found something 797 00:31:19,190 --> 00:31:16,880 shocking that completely changed the 798 00:31:21,110 --> 00:31:19,200 nature of our sampling on this island 799 00:31:23,269 --> 00:31:21,120 this is what they found 800 00:31:25,830 --> 00:31:23,279 this is a 801 00:31:27,110 --> 00:31:25,840 colonial clanoflagelet that forms a 802 00:31:27,990 --> 00:31:27,120 sheet 803 00:31:35,110 --> 00:31:28,000 and 804 00:31:37,590 --> 00:31:35,120 seeing the lip of the cup right now 805 00:31:39,190 --> 00:31:37,600 you'll also see these predatory 806 00:31:40,549 --> 00:31:39,200 flagellates swimming around and you 807 00:31:42,789 --> 00:31:40,559 don't need to worry about those just 808 00:31:44,950 --> 00:31:42,799 focus on this sheet and this is what 809 00:31:46,950 --> 00:31:44,960 they saw this this 810 00:31:48,870 --> 00:31:46,960 video actually came from the marine 811 00:31:58,070 --> 00:31:48,880 station on the day that they discovered 812 00:32:01,110 --> 00:31:59,990 so these are these little flagellate 813 00:32:03,110 --> 00:32:01,120 cells 814 00:32:05,430 --> 00:32:03,120 but they've formed a multicellular 815 00:32:07,029 --> 00:32:05,440 structure that's able to do coordinated 816 00:32:10,230 --> 00:32:07,039 morphogenetic 817 00:32:12,149 --> 00:32:10,240 folding this was a complete shock to us 818 00:32:15,029 --> 00:32:12,159 and it's not something that had been 819 00:32:18,870 --> 00:32:15,039 reported before really amazing how are 820 00:32:22,070 --> 00:32:20,710 so we decided to try to study it in 821 00:32:24,310 --> 00:32:22,080 detail 822 00:32:27,430 --> 00:32:24,320 and we discussed first our question was 823 00:32:28,950 --> 00:32:27,440 what causes this inversion to happen and 824 00:32:31,269 --> 00:32:28,960 it turns out that a lot of things can 825 00:32:33,350 --> 00:32:31,279 cause it so one example is mechanical 826 00:32:36,070 --> 00:32:33,360 signals 827 00:32:36,950 --> 00:32:36,080 and this is a bit brutal but if we stab 828 00:32:42,630 --> 00:32:36,960 it 829 00:32:45,190 --> 00:32:42,640 on the right you can see that along the 830 00:32:47,110 --> 00:32:45,200 y-axis we're measuring the percentage of 831 00:32:49,750 --> 00:32:47,120 cells that have their flagella out 832 00:32:51,590 --> 00:32:49,760 versus in and if the cells are kept in a 833 00:32:53,430 --> 00:32:51,600 static environment without any sort of 834 00:32:56,070 --> 00:32:53,440 turbulence 835 00:32:58,950 --> 00:32:56,080 they remain with their flagella in which 836 00:33:01,110 --> 00:32:58,960 is the the image on the left 837 00:33:04,149 --> 00:33:01,120 and if we shake them which creates a lot 838 00:33:07,269 --> 00:33:04,159 of turbulence and mechanical uh signals 839 00:33:09,590 --> 00:33:07,279 then they uh entirely invert and put 840 00:33:11,990 --> 00:33:09,600 their flagella in the collar complex on 841 00:33:14,549 --> 00:33:12,000 the outside 842 00:33:16,870 --> 00:33:14,559 but what really shocked us was that 843 00:33:19,190 --> 00:33:16,880 light to dark transitions can also 844 00:33:20,389 --> 00:33:19,200 induce this so on the left here you're 845 00:33:24,230 --> 00:33:20,399 seeing 846 00:33:26,630 --> 00:33:24,240 a low magnification image of a culture 847 00:33:27,990 --> 00:33:26,640 and each of these shiny blobs is one of 848 00:33:30,549 --> 00:33:28,000 those colonies with hundreds and 849 00:33:31,909 --> 00:33:30,559 hundreds of cells and so what you'll see 850 00:33:34,389 --> 00:33:31,919 here 851 00:33:37,029 --> 00:33:34,399 is that as we 852 00:33:39,590 --> 00:33:37,039 turn the lights off suddenly the vast 853 00:33:41,990 --> 00:33:39,600 majority of these colonies invert ball 854 00:33:44,310 --> 00:33:42,000 up and start swimming around and in fact 855 00:33:46,310 --> 00:33:44,320 this inversion really is switching the 856 00:33:48,310 --> 00:33:46,320 quantum flagellates from 857 00:33:50,950 --> 00:33:48,320 a state in which they're sedentary but 858 00:33:52,789 --> 00:33:50,960 actually feeding eating lots of bacteria 859 00:33:55,509 --> 00:33:52,799 to one in which they're swimming around 860 00:33:57,990 --> 00:33:55,519 and it's perhaps an escape mechanism and 861 00:34:00,149 --> 00:33:58,000 again we can quantify this and so you 862 00:34:03,190 --> 00:34:00,159 can see here again we're measuring in 863 00:34:06,230 --> 00:34:03,200 this case the normalized sheet area 864 00:34:08,470 --> 00:34:06,240 and before we turn the lights off this 865 00:34:10,230 --> 00:34:08,480 remains at about one and when we turn 866 00:34:12,069 --> 00:34:10,240 the lights off they invert and that 867 00:34:13,909 --> 00:34:12,079 leads to the sheet area 868 00:34:16,950 --> 00:34:13,919 becoming much smaller and that so that's 869 00:34:19,109 --> 00:34:16,960 our proxy for inversion 870 00:34:21,030 --> 00:34:19,119 so the first question we had was 871 00:34:24,550 --> 00:34:21,040 they don't have an eye they don't have 872 00:34:26,389 --> 00:34:24,560 any pigment how are they detecting 873 00:34:27,510 --> 00:34:26,399 light or darkness 874 00:34:29,270 --> 00:34:27,520 and we're not going to go into the 875 00:34:31,190 --> 00:34:29,280 evidence but just tell you that we were 876 00:34:33,109 --> 00:34:31,200 very lucky 877 00:34:35,909 --> 00:34:33,119 in in that we were able to quickly 878 00:34:38,550 --> 00:34:35,919 identify the protein through which 879 00:34:41,990 --> 00:34:38,560 photoreception occurs and so this is a 880 00:34:45,270 --> 00:34:42,000 protein that has two parts one part is 881 00:34:48,470 --> 00:34:45,280 shown here it's related to rhodopsins 882 00:34:50,710 --> 00:34:48,480 that allow both bacteria and 883 00:34:52,629 --> 00:34:50,720 in animals to detect light 884 00:34:55,990 --> 00:34:52,639 and the second part of the protein is an 885 00:34:57,910 --> 00:34:56,000 enzyme called a phosphodiesterase 886 00:34:59,670 --> 00:34:57,920 the name isn't important what's 887 00:35:02,550 --> 00:34:59,680 important has this activity that it 888 00:35:04,630 --> 00:35:02,560 switches one molecule a cyclic tmp into 889 00:35:07,190 --> 00:35:04,640 a different type of molecule a five 890 00:35:09,750 --> 00:35:07,200 prime gmp so simply 891 00:35:11,750 --> 00:35:09,760 by shining light on the choanoflagellate 892 00:35:14,470 --> 00:35:11,760 you can drive this conversion from 893 00:35:16,550 --> 00:35:14,480 cyclic gmp to five prime gmp but if you 894 00:35:19,109 --> 00:35:16,560 turn the lights off you accumulate an 895 00:35:21,190 --> 00:35:19,119 entirely different molecule cyclic gmp 896 00:35:22,550 --> 00:35:21,200 and this alone can change the behavior 897 00:35:24,150 --> 00:35:22,560 of the cells 898 00:35:26,150 --> 00:35:24,160 okay so that's interesting we know how 899 00:35:29,190 --> 00:35:26,160 it's regulated but how does that 900 00:35:31,349 --> 00:35:29,200 actually happen at the structural level 901 00:35:33,750 --> 00:35:31,359 and it turns out that that is driven by 902 00:35:35,829 --> 00:35:33,760 a change in the angle of the collar that 903 00:35:39,510 --> 00:35:35,839 we've been talking about so in the 904 00:35:43,109 --> 00:35:39,520 flagella in state all of the collars are 905 00:35:44,710 --> 00:35:43,119 straight and and parallel and so 906 00:35:47,349 --> 00:35:44,720 because they're so 907 00:35:48,470 --> 00:35:47,359 close together it changes the angle of 908 00:36:00,069 --> 00:35:48,480 the 909 00:36:02,950 --> 00:36:00,079 neighbors around and so now you get this 910 00:36:04,870 --> 00:36:02,960 inversion into a different curvature 911 00:36:06,710 --> 00:36:04,880 and this is actually regulated by a 912 00:36:08,390 --> 00:36:06,720 group of proteins that sit at the bottom 913 00:36:10,069 --> 00:36:08,400 of the collar 914 00:36:11,990 --> 00:36:10,079 shown in this ring and i'm going to talk 915 00:36:14,710 --> 00:36:12,000 about it in a moment these are called 916 00:36:18,069 --> 00:36:14,720 this is the actimiacin complex 917 00:36:21,190 --> 00:36:18,079 okay so when this ring is wide 918 00:36:23,829 --> 00:36:21,200 then you have the small collar angle 919 00:36:25,670 --> 00:36:23,839 but when the ring of proteins it 920 00:36:27,750 --> 00:36:25,680 contracts 921 00:36:31,030 --> 00:36:27,760 then the collar opens up and that 922 00:36:33,589 --> 00:36:31,040 changes the entire behavior of the whole 923 00:36:35,670 --> 00:36:33,599 layer of cells 924 00:36:37,510 --> 00:36:35,680 okay so what is this mysterious protein 925 00:36:39,829 --> 00:36:37,520 complex i mentioned it's called 926 00:36:42,230 --> 00:36:39,839 actimiacin and here we've stained it 927 00:36:45,349 --> 00:36:42,240 we've stained one component myosin and 928 00:36:47,109 --> 00:36:45,359 green and the other component actin 929 00:36:49,030 --> 00:36:47,119 here it's showing in magenta i'm not 930 00:36:49,910 --> 00:36:49,040 sure what you guys are seeing 931 00:36:52,310 --> 00:36:49,920 so 932 00:36:54,470 --> 00:36:52,320 this is a large colony that's been 933 00:36:56,470 --> 00:36:54,480 stained for these two proteins but if we 934 00:36:59,589 --> 00:36:56,480 zoom in i hope you can see that the 935 00:37:02,790 --> 00:36:59,599 myosin forms these little green rings 936 00:37:04,870 --> 00:37:02,800 and the actin comes in and touches the 937 00:37:07,670 --> 00:37:04,880 rings and it's the connection between 938 00:37:09,990 --> 00:37:07,680 those two types of proteins that allows 939 00:37:11,990 --> 00:37:10,000 them to 940 00:37:14,710 --> 00:37:12,000 contract and change the angle of the 941 00:37:17,910 --> 00:37:16,550 and so here we can zoom in on it a 942 00:37:21,430 --> 00:37:17,920 little bit 943 00:37:23,190 --> 00:37:21,440 and you can see in a relaxed apical ring 944 00:37:26,150 --> 00:37:23,200 this uh 945 00:37:27,190 --> 00:37:26,160 you have the small collar angle so here 946 00:37:29,349 --> 00:37:27,200 these 947 00:37:31,030 --> 00:37:29,359 molecules are pushing out the proteins 948 00:37:33,589 --> 00:37:31,040 are pushing out and that's drawing the 949 00:37:36,710 --> 00:37:33,599 collar in 950 00:37:39,190 --> 00:37:36,720 when we turn the lights off now the 951 00:37:42,230 --> 00:37:39,200 proteins contract in on each other and 952 00:37:43,990 --> 00:37:42,240 that opens up the collar ring sorry 953 00:37:45,910 --> 00:37:44,000 which you can see here 954 00:37:47,670 --> 00:37:45,920 now how do we know that this is what's 955 00:37:49,270 --> 00:37:47,680 actually going on it turns out that 956 00:37:51,349 --> 00:37:49,280 there are a lot of 957 00:37:53,430 --> 00:37:51,359 drugs that molecular biologists have 958 00:37:55,190 --> 00:37:53,440 developed to disrupt the functions of 959 00:37:57,910 --> 00:37:55,200 these proteins and you don't need to 960 00:37:59,430 --> 00:37:57,920 know what these drugs are 961 00:38:01,829 --> 00:37:59,440 named but here they are for the 962 00:38:04,550 --> 00:38:01,839 aficionados the main point is if we 963 00:38:07,829 --> 00:38:04,560 treat with any drug that disrupts either 964 00:38:10,630 --> 00:38:07,839 actin or myosin what we see here 965 00:38:13,990 --> 00:38:10,640 is that now the cells are not responsive 966 00:38:15,589 --> 00:38:14,000 to light they can't do the contraction 967 00:38:17,750 --> 00:38:15,599 when the lights are turned off the way 968 00:38:20,230 --> 00:38:17,760 they could if they weren't and weren't 969 00:38:21,750 --> 00:38:20,240 exposed to these drugs and so that tells 970 00:38:25,109 --> 00:38:21,760 us that these proteins are very 971 00:38:25,910 --> 00:38:25,119 important for this inversion process 972 00:38:27,589 --> 00:38:25,920 okay 973 00:38:29,349 --> 00:38:27,599 so um 974 00:38:31,589 --> 00:38:29,359 what i've told you then 975 00:38:33,109 --> 00:38:31,599 is that there are two states for this 976 00:38:36,870 --> 00:38:33,119 coin of flagellate which we've named 977 00:38:39,030 --> 00:38:36,880 c-flexa one is with the flagella in 978 00:38:43,349 --> 00:38:39,040 this occurs when the this ring of 979 00:38:46,710 --> 00:38:43,359 proteins is relaxed and opened up 980 00:38:49,030 --> 00:38:46,720 and if we turn off the lights that ring 981 00:38:50,870 --> 00:38:49,040 of proteins contracts and when it does 982 00:38:53,670 --> 00:38:50,880 that it leads to this collar opening 983 00:38:55,910 --> 00:38:53,680 which i'm showing you here 984 00:38:58,310 --> 00:38:55,920 why is this so interesting to us well 985 00:39:01,109 --> 00:38:58,320 first of all it's just cool biology and 986 00:39:02,550 --> 00:39:01,119 it's neat to see um single-celled 987 00:39:05,190 --> 00:39:02,560 eukaryotes doing this kind of 988 00:39:06,630 --> 00:39:05,200 complicated morphogenetic behavior 989 00:39:09,670 --> 00:39:06,640 um 990 00:39:11,990 --> 00:39:09,680 but what is additionally interesting is 991 00:39:14,630 --> 00:39:12,000 that this connection between this myosin 992 00:39:16,710 --> 00:39:14,640 ring and morphology here 993 00:39:19,030 --> 00:39:16,720 actually parallel something that happens 994 00:39:21,349 --> 00:39:19,040 in animals in which animals 995 00:39:23,990 --> 00:39:21,359 start early in development to form this 996 00:39:25,670 --> 00:39:24,000 hollow sphere of cells that are tightly 997 00:39:27,030 --> 00:39:25,680 connected to each other 998 00:39:28,470 --> 00:39:27,040 like the cells are in the quantum 999 00:39:30,790 --> 00:39:28,480 flagellate 1000 00:39:33,430 --> 00:39:30,800 and they have the same type of proteins 1001 00:39:36,150 --> 00:39:33,440 actimicin and when those contract along 1002 00:39:38,790 --> 00:39:36,160 one surface it causes the 1003 00:39:40,710 --> 00:39:38,800 ball of cells to fold in and that is the 1004 00:39:43,750 --> 00:39:40,720 beginning of forming new types of 1005 00:39:46,230 --> 00:39:43,760 tissues and new cell types so this 1006 00:39:48,150 --> 00:39:46,240 molecular connection seems to be highly 1007 00:39:50,069 --> 00:39:48,160 conserved 1008 00:39:51,910 --> 00:39:50,079 so where does that leave us 1009 00:39:53,990 --> 00:39:51,920 well i told you 1010 00:39:55,750 --> 00:39:54,000 in the first part of my talk that 1011 00:39:58,230 --> 00:39:55,760 choanoflagellates which have always been 1012 00:40:00,790 --> 00:39:58,240 thought of as flagellates are capable of 1013 00:40:02,550 --> 00:40:00,800 forming amoeboid cells and it turns out 1014 00:40:04,150 --> 00:40:02,560 that they do it through mechanisms that 1015 00:40:05,430 --> 00:40:04,160 are very similar to those used in 1016 00:40:07,829 --> 00:40:05,440 animals 1017 00:40:10,790 --> 00:40:07,839 and now i've told you that a different 1018 00:40:13,910 --> 00:40:10,800 species of choanoflagellate can undergo 1019 00:40:15,750 --> 00:40:13,920 tissue morphogenesis again using very 1020 00:40:17,670 --> 00:40:15,760 similar types of molecules to those 1021 00:40:20,710 --> 00:40:17,680 found in animals 1022 00:40:22,950 --> 00:40:20,720 so with these types of observations in 1023 00:40:25,190 --> 00:40:22,960 living single-celled relatives of 1024 00:40:27,589 --> 00:40:25,200 animals we're starting to get a much 1025 00:40:30,150 --> 00:40:27,599 richer view of what 1026 00:40:32,550 --> 00:40:30,160 of their own biology and the biology of 1027 00:40:35,109 --> 00:40:32,560 the last common ancestor of animals and 1028 00:40:38,230 --> 00:40:35,119 so what i want to leave you with is this 1029 00:40:40,150 --> 00:40:38,240 rather complex view of the progenitor of 1030 00:40:43,990 --> 00:40:40,160 animals 1031 00:40:46,470 --> 00:40:44,000 that shows that we now think that 1032 00:40:48,550 --> 00:40:46,480 that an ancestral flagellate was 1033 00:40:51,030 --> 00:40:48,560 actually capable of responding to 1034 00:40:54,069 --> 00:40:51,040 different environmental cues to either 1035 00:40:56,950 --> 00:40:54,079 display simple multicellularity attached 1036 00:40:58,790 --> 00:40:56,960 to substrates convert into amoeboid 1037 00:41:01,829 --> 00:40:58,800 stain 1038 00:41:04,950 --> 00:41:01,839 form a an environmentally hearty cyst 1039 00:41:07,670 --> 00:41:04,960 and even convert from an asexual to a 1040 00:41:09,990 --> 00:41:07,680 sexual stage with dimorphic gametes and 1041 00:41:13,109 --> 00:41:10,000 so what we see is that much of the cell 1042 00:41:15,750 --> 00:41:13,119 biology that typifies animals 1043 00:41:18,470 --> 00:41:15,760 actually probably predates animal bio or 1044 00:41:21,270 --> 00:41:18,480 animal origins and was controlled by 1045 00:41:23,829 --> 00:41:21,280 environmental cues and 1046 00:41:26,470 --> 00:41:23,839 was typified by lots of plasticity and 1047 00:41:28,069 --> 00:41:26,480 the ability to change between different 1048 00:41:30,470 --> 00:41:28,079 cell types 1049 00:41:33,589 --> 00:41:30,480 and so with that i'm going to thank my 1050 00:41:39,430 --> 00:41:33,599 wonderful laboratory our funding and i'm 1051 00:41:39,440 --> 00:41:47,109 i guess i can keep this off 1052 00:41:52,550 --> 00:41:49,589 well thank you nicole for a marvelous 1053 00:41:54,950 --> 00:41:52,560 talk i i usually do not use the word 1054 00:41:57,670 --> 00:41:54,960 awesome but uh 1055 00:41:58,870 --> 00:41:57,680 i'm really impressed by 1056 00:42:01,109 --> 00:41:58,880 number one 1057 00:42:04,390 --> 00:42:01,119 the audacity you know of one of your 1058 00:42:05,990 --> 00:42:04,400 post-docs to to to do that experiment 1059 00:42:09,670 --> 00:42:06,000 and secondly 1060 00:42:12,390 --> 00:42:09,680 uh the the wonder of new insights from 1061 00:42:14,390 --> 00:42:12,400 discovering a new type of organism i i 1062 00:42:15,910 --> 00:42:14,400 that really took my breath away when i 1063 00:42:17,750 --> 00:42:15,920 saw that 1064 00:42:19,589 --> 00:42:17,760 that's amazing yeah me too 1065 00:42:22,870 --> 00:42:19,599 i'm sure there are a lot of questions 1066 00:42:25,670 --> 00:42:22,880 and i don't want to hog the uh 1067 00:42:27,750 --> 00:42:25,680 the question scene so uh this gentleman 1068 00:42:30,470 --> 00:42:27,760 over there could you identify yourself 1069 00:42:31,750 --> 00:42:30,480 and pose your question please sure hi 1070 00:42:33,670 --> 00:42:31,760 i'm mike long from the carnegie 1071 00:42:36,230 --> 00:42:33,680 institution for science that was a 1072 00:42:39,030 --> 00:42:36,240 fabulous talk i learned so much oh good 1073 00:42:41,109 --> 00:42:39,040 um so i was wondering given what we know 1074 00:42:43,430 --> 00:42:41,119 now about the environmental factors that 1075 00:42:45,270 --> 00:42:43,440 contributed to the emergence of animal 1076 00:42:47,270 --> 00:42:45,280 life here on earth if you had any 1077 00:42:48,870 --> 00:42:47,280 speculations about whether or not this 1078 00:42:51,589 --> 00:42:48,880 same kind of major transition would 1079 00:42:54,069 --> 00:42:51,599 occur on an icy subsurface ocean world 1080 00:42:55,190 --> 00:42:54,079 like europa or enceladus 1081 00:42:57,670 --> 00:42:55,200 interesting 1082 00:43:01,670 --> 00:42:59,270 to me the 1083 00:43:04,550 --> 00:43:01,680 when i think about life on other planets 1084 00:43:06,950 --> 00:43:04,560 it's difficult for me to anticipate what 1085 00:43:09,750 --> 00:43:06,960 it would look like or whether it will 1086 00:43:10,870 --> 00:43:09,760 closely mimic what we have on earth 1087 00:43:12,870 --> 00:43:10,880 but what i 1088 00:43:14,710 --> 00:43:12,880 do think is a reasonable inference is 1089 00:43:16,309 --> 00:43:14,720 that we've under-appreciated the 1090 00:43:19,750 --> 00:43:16,319 diversity of 1091 00:43:22,550 --> 00:43:19,760 physiological states of uh of microbes 1092 00:43:25,510 --> 00:43:22,560 on this planet 1093 00:43:27,670 --> 00:43:25,520 and that that plasticity and ability to 1094 00:43:29,589 --> 00:43:27,680 respond dynamically to different 1095 00:43:31,910 --> 00:43:29,599 environmental states i think is probably 1096 00:43:34,230 --> 00:43:31,920 has evolved under selection has been 1097 00:43:35,829 --> 00:43:34,240 important for their survival and so i 1098 00:43:37,510 --> 00:43:35,839 would anticipate that you would see 1099 00:43:39,589 --> 00:43:37,520 similar types of 1100 00:43:41,589 --> 00:43:39,599 flexibility and plasticity in life 1101 00:43:43,910 --> 00:43:41,599 evolving elsewhere 1102 00:43:45,910 --> 00:43:43,920 but whether it would look like 1103 00:43:50,150 --> 00:43:45,920 exactly like the types of transitions 1104 00:43:52,870 --> 00:43:50,160 i've described is i i have no idea 1105 00:43:54,630 --> 00:43:52,880 cool thank you thank you 1106 00:43:57,270 --> 00:43:54,640 hello 1107 00:43:58,309 --> 00:43:57,280 tony brunetti here from uh georgia tech 1108 00:44:01,030 --> 00:43:58,319 and 1109 00:44:04,870 --> 00:44:01,040 i was curious i couldn't help but notice 1110 00:44:07,670 --> 00:44:04,880 when you poked those uh things and they 1111 00:44:09,589 --> 00:44:07,680 invert in response to it yeah the whole 1112 00:44:11,829 --> 00:44:09,599 thing does not just where you poke it i 1113 00:44:15,030 --> 00:44:11,839 wonder if you know if these guys are 1114 00:44:17,589 --> 00:44:15,040 passing signals to each other and if so 1115 00:44:20,710 --> 00:44:17,599 what those signals might be right 1116 00:44:23,109 --> 00:44:20,720 very good observation um 1117 00:44:25,829 --> 00:44:23,119 we tried to test that because we can we 1118 00:44:28,069 --> 00:44:25,839 know that we can uh 1119 00:44:29,670 --> 00:44:28,079 let me back up i suspect that they are 1120 00:44:32,870 --> 00:44:29,680 mechanically coupled 1121 00:44:36,710 --> 00:44:32,880 so if you poke one and it starts and it 1122 00:44:38,950 --> 00:44:36,720 pulls its flagella in or pushes them out 1123 00:44:41,109 --> 00:44:38,960 that movement by one cell is going to be 1124 00:44:44,309 --> 00:44:41,119 perceived by its neighboring cells and i 1125 00:44:46,309 --> 00:44:44,319 suspect they respond to that not to a 1126 00:44:48,790 --> 00:44:46,319 chemical signal 1127 00:44:51,109 --> 00:44:48,800 we tried to test that by actually 1128 00:44:53,109 --> 00:44:51,119 specifically shining light on one part 1129 00:44:55,190 --> 00:44:53,119 of a colony and not others and we 1130 00:44:56,230 --> 00:44:55,200 haven't worked that out yet but it's 1131 00:45:01,510 --> 00:44:56,240 definitely something we're very 1132 00:45:06,309 --> 00:45:04,230 thank you nicole that was great um i'm 1133 00:45:08,630 --> 00:45:06,319 able mendes from university of puerto 1134 00:45:13,190 --> 00:45:08,640 rico at the receivo and i am very 1135 00:45:14,790 --> 00:45:13,200 intrigued because we can probably not 1136 00:45:15,670 --> 00:45:14,800 look today 1137 00:45:18,069 --> 00:45:15,680 at 1138 00:45:20,870 --> 00:45:18,079 a another origin of life because there's 1139 00:45:22,390 --> 00:45:20,880 life already present and that would be a 1140 00:45:25,109 --> 00:45:22,400 competition there 1141 00:45:26,309 --> 00:45:25,119 but can we say that these antivoid 1142 00:45:29,349 --> 00:45:26,319 structures 1143 00:45:31,349 --> 00:45:29,359 are leaving examples today of lying 1144 00:45:32,630 --> 00:45:31,359 trying to a second generation for 1145 00:45:34,870 --> 00:45:32,640 complex life 1146 00:45:35,829 --> 00:45:34,880 or do you think maybe not the same as 1147 00:45:37,109 --> 00:45:35,839 before 1148 00:45:39,750 --> 00:45:37,119 but 1149 00:45:41,910 --> 00:45:39,760 something that we can say is uh a good 1150 00:45:44,470 --> 00:45:41,920 example of the second genesis for 1151 00:45:47,030 --> 00:45:44,480 complex life today 1152 00:45:49,109 --> 00:45:47,040 a second genesis for the complex life 1153 00:45:51,190 --> 00:45:49,119 today 1154 00:45:52,950 --> 00:45:51,200 so if we were allowed if we were to come 1155 00:45:54,790 --> 00:45:52,960 back and look a few 1156 00:45:57,670 --> 00:45:54,800 100 million years from now would we see 1157 00:45:59,670 --> 00:45:57,680 that qanoflagellates had spawned 1158 00:46:00,390 --> 00:45:59,680 um another complex lineage is that the 1159 00:46:01,030 --> 00:46:00,400 question 1160 00:46:03,990 --> 00:46:01,040 or 1161 00:46:06,390 --> 00:46:04,000 yeah i i mean if these uh structures 1162 00:46:09,190 --> 00:46:06,400 this time avoid today are examples 1163 00:46:11,910 --> 00:46:09,200 living examples today of second genesis 1164 00:46:15,349 --> 00:46:11,920 of a complex life yeah not probably the 1165 00:46:18,470 --> 00:46:15,359 same as happened originally right but we 1166 00:46:19,750 --> 00:46:18,480 can say that we should make that a big 1167 00:46:21,109 --> 00:46:19,760 conclusion 1168 00:46:23,030 --> 00:46:21,119 yeah 1169 00:46:24,390 --> 00:46:23,040 i think we need more evidence before we 1170 00:46:26,230 --> 00:46:24,400 can go there but i think it's really 1171 00:46:29,670 --> 00:46:26,240 interesting idea 1172 00:46:32,230 --> 00:46:29,680 thank you thank you 1173 00:46:35,829 --> 00:46:32,240 hi uh i'm pavel clear post stuck at nasa 1174 00:46:37,270 --> 00:46:35,839 ames um and uh my question was um you 1175 00:46:39,990 --> 00:46:37,280 had um 1176 00:46:41,829 --> 00:46:40,000 some annotations on one of your slides 1177 00:46:42,790 --> 00:46:41,839 when you were talking about some of the 1178 00:46:45,430 --> 00:46:42,800 um 1179 00:46:47,829 --> 00:46:45,440 transitions between the states where you 1180 00:46:49,430 --> 00:46:47,839 had labeled um certain transitions as 1181 00:46:50,870 --> 00:46:49,440 happening post-transcriptionally versus 1182 00:46:52,170 --> 00:46:50,880 transcriptionally and i wondered i meant 1183 00:46:54,150 --> 00:46:52,180 to remove all of that but yeah 1184 00:46:55,990 --> 00:46:54,160 [Laughter] 1185 00:46:57,829 --> 00:46:56,000 i didn't know how i was wondering if you 1186 00:46:59,829 --> 00:46:57,839 wanted to uh like discuss that a little 1187 00:47:01,670 --> 00:46:59,839 bit more and so you know what are some 1188 00:47:03,589 --> 00:47:01,680 of the like genetic mechanisms there and 1189 00:47:05,750 --> 00:47:03,599 how that might be different in animals 1190 00:47:09,109 --> 00:47:05,760 versus the queen of flags sure 1191 00:47:11,190 --> 00:47:09,119 so um yeah i was trying not to uh 1192 00:47:14,230 --> 00:47:11,200 get too much into the genetics but in 1193 00:47:15,349 --> 00:47:14,240 animals development is regulated large 1194 00:47:17,510 --> 00:47:15,359 well 1195 00:47:20,069 --> 00:47:17,520 largely transcriptionally so that's 1196 00:47:22,630 --> 00:47:20,079 where this unfolding of cell 1197 00:47:25,190 --> 00:47:22,640 differentiation and cell states 1198 00:47:27,030 --> 00:47:25,200 is ultimately regulated is at the level 1199 00:47:30,390 --> 00:47:27,040 of which genes are turned on and off and 1200 00:47:32,230 --> 00:47:30,400 when there's also post translational 1201 00:47:33,190 --> 00:47:32,240 regulation that occurs 1202 00:47:34,150 --> 00:47:33,200 um 1203 00:47:36,230 --> 00:47:34,160 but 1204 00:47:37,829 --> 00:47:36,240 you know for all intents and purposes we 1205 00:47:40,150 --> 00:47:37,839 can start with transcriptional 1206 00:47:41,750 --> 00:47:40,160 regulation and that is hardwiring you 1207 00:47:44,710 --> 00:47:41,760 know that 1208 00:47:46,870 --> 00:47:44,720 i i'm oversimplifying it but it's 1209 00:47:48,309 --> 00:47:46,880 that is reproducible from generation to 1210 00:47:51,030 --> 00:47:48,319 generation 1211 00:47:53,349 --> 00:47:51,040 in choanoflagellates these responses are 1212 00:47:54,390 --> 00:47:53,359 reversible they don't go in order 1213 00:47:57,670 --> 00:47:54,400 there's no 1214 00:47:59,990 --> 00:47:57,680 program it's just an on the fly oh damn 1215 00:48:01,589 --> 00:48:00,000 i'm you know stuck between this silt 1216 00:48:05,030 --> 00:48:01,599 i've got to do something different and 1217 00:48:08,390 --> 00:48:05,040 they do it very rapidly at 1218 00:48:11,270 --> 00:48:08,400 um at speeds that are too fast for it to 1219 00:48:12,870 --> 00:48:11,280 be explained by turning on and off 1220 00:48:15,309 --> 00:48:12,880 different genes so we think that it's 1221 00:48:17,270 --> 00:48:15,319 happening post translation and 1222 00:48:18,069 --> 00:48:17,280 post-translationally it's happening 1223 00:48:21,349 --> 00:48:18,079 through 1224 00:48:24,470 --> 00:48:21,359 the rapid activation of proteins and the 1225 00:48:26,150 --> 00:48:24,480 modification of proteins as opposed to 1226 00:48:28,630 --> 00:48:26,160 at the level of transcribing different 1227 00:48:29,990 --> 00:48:28,640 sets of genes does that 1228 00:48:31,349 --> 00:48:30,000 yeah i guess as a follow-up question 1229 00:48:32,870 --> 00:48:31,359 also do you think that there was a point 1230 00:48:34,870 --> 00:48:32,880 in like 1231 00:48:36,710 --> 00:48:34,880 a distinct point in the evolutionary 1232 00:48:37,589 --> 00:48:36,720 history where there was a transition 1233 00:48:39,430 --> 00:48:37,599 from 1234 00:48:41,670 --> 00:48:39,440 like post-translational responses to 1235 00:48:44,150 --> 00:48:41,680 transcriptional responses in like the 1236 00:48:46,950 --> 00:48:44,160 kind of point of fledgling to animal 1237 00:48:49,990 --> 00:48:46,960 uh transition yeah i mean i think that 1238 00:48:51,270 --> 00:48:50,000 it's clear that cell differentiation in 1239 00:48:53,430 --> 00:48:51,280 animals 1240 00:48:54,630 --> 00:48:53,440 does unfold as part of a program and 1241 00:48:56,510 --> 00:48:54,640 largely that goes back to 1242 00:48:58,069 --> 00:48:56,520 transcriptional regulation and 1243 00:49:00,790 --> 00:48:58,079 choanoflagellates 1244 00:49:03,109 --> 00:49:00,800 to my eye it's really a matter of how 1245 00:49:05,190 --> 00:49:03,119 quickly a cell state transition has to 1246 00:49:07,589 --> 00:49:05,200 happen so for instance we can convert 1247 00:49:10,309 --> 00:49:07,599 them from being haploid to dip or sorry 1248 00:49:13,270 --> 00:49:10,319 from sexual to asexual and back again 1249 00:49:16,069 --> 00:49:13,280 and that process can take over two weeks 1250 00:49:18,270 --> 00:49:16,079 and likely does involve transcriptional 1251 00:49:20,470 --> 00:49:18,280 changes but these 1252 00:49:22,549 --> 00:49:20,480 amoeboid-flagellate state 1253 00:49:25,270 --> 00:49:22,559 transitions happen on the order of 1254 00:49:27,510 --> 00:49:25,280 minutes that's too fast it has to be 1255 00:49:29,589 --> 00:49:27,520 translational so i don't 1256 00:49:30,710 --> 00:49:29,599 know that there's going to be a hard and 1257 00:49:32,870 --> 00:49:30,720 fast 1258 00:49:36,150 --> 00:49:32,880 it was post-translational before animal 1259 00:49:37,750 --> 00:49:36,160 origins it's transcriptional 1260 00:49:39,190 --> 00:49:37,760 in animals i don't think there's going 1261 00:49:41,670 --> 00:49:39,200 to be that clear divide i think it's 1262 00:49:43,990 --> 00:49:41,680 going to be situation specific but in 1263 00:49:45,750 --> 00:49:44,000 animals we do see a predominance of 1264 00:49:47,829 --> 00:49:45,760 these 1265 00:49:50,069 --> 00:49:47,839 reproducible 1266 00:49:52,390 --> 00:49:50,079 programs that get recapitulated from 1267 00:49:54,630 --> 00:49:52,400 generation to generation and that's very 1268 00:49:56,309 --> 00:49:54,640 different from what we see in microbial 1269 00:49:57,190 --> 00:49:56,319 eukaryotes 1270 00:49:58,790 --> 00:49:57,200 thank you very much it was very 1271 00:50:00,870 --> 00:49:58,800 interesting talking thank you all right 1272 00:50:02,630 --> 00:50:00,880 lynn rothschild nasa ames i really don't 1273 00:50:04,630 --> 00:50:02,640 have a question just i wanted to 1274 00:50:06,710 --> 00:50:04,640 congratulate you for a really fabulous 1275 00:50:09,349 --> 00:50:06,720 talk and frank for having the insight to 1276 00:50:11,270 --> 00:50:09,359 have a protozoologist first as an old 1277 00:50:13,190 --> 00:50:11,280 protozoologist myself 1278 00:50:14,630 --> 00:50:13,200 and really a comment to the younger 1279 00:50:17,430 --> 00:50:14,640 people in the audience i'm not going to 1280 00:50:19,190 --> 00:50:17,440 put an age limit on it but notice that 1281 00:50:21,349 --> 00:50:19,200 all this started with observations 1282 00:50:24,069 --> 00:50:21,359 through a microscope not with going into 1283 00:50:26,150 --> 00:50:24,079 the lab in sequencing and that much of 1284 00:50:27,990 --> 00:50:26,160 these hypotheses have been around for 1285 00:50:30,549 --> 00:50:28,000 150 years 1286 00:50:32,710 --> 00:50:30,559 and so it is well worth dusting off your 1287 00:50:34,309 --> 00:50:32,720 microscope looking through it and in 1288 00:50:36,710 --> 00:50:34,319 this case it's the molecular data to 1289 00:50:40,790 --> 00:50:36,720 confirm the microscopy so thank you very 1290 00:50:47,190 --> 00:50:44,309 hi anthony segura from mexico city um 1291 00:50:49,589 --> 00:50:47,200 the national university of mexico um 1292 00:50:51,750 --> 00:50:49,599 i'm no biologist 1293 00:50:52,790 --> 00:50:51,760 but for what i understand all these 1294 00:50:55,910 --> 00:50:52,800 changes 1295 00:50:57,829 --> 00:50:55,920 from going to to create animals 1296 00:51:00,870 --> 00:50:57,839 were more biological 1297 00:51:02,630 --> 00:51:00,880 so at what point this became something 1298 00:51:04,549 --> 00:51:02,640 that were passed from generation to 1299 00:51:07,270 --> 00:51:04,559 generation because i mean if it's only 1300 00:51:09,670 --> 00:51:07,280 more morphological than its behavior 1301 00:51:11,670 --> 00:51:09,680 then how do you make one generation 1302 00:51:14,150 --> 00:51:11,680 after generation and then you make 1303 00:51:16,710 --> 00:51:14,160 animals yeah what happened there 1304 00:51:18,390 --> 00:51:16,720 i think that is a brilliant question 1305 00:51:20,710 --> 00:51:18,400 and something that i didn't get a chance 1306 00:51:21,829 --> 00:51:20,720 to talk about is the fact that 1307 00:51:24,470 --> 00:51:21,839 we think that animals and 1308 00:51:27,030 --> 00:51:24,480 quantoflagellates diverged 1309 00:51:29,270 --> 00:51:27,040 you know we don't really know 750 1310 00:51:31,589 --> 00:51:29,280 million years ago a billion years ago we 1311 00:51:33,829 --> 00:51:31,599 don't know and we don't have any 1312 00:51:36,150 --> 00:51:33,839 intervening lineages 1313 00:51:38,390 --> 00:51:36,160 between the two they either they've all 1314 00:51:41,750 --> 00:51:38,400 gone extinct or 1315 00:51:43,670 --> 00:51:41,760 um or we haven't detected them and so 1316 00:51:45,670 --> 00:51:43,680 what i think is that there were there 1317 00:51:47,589 --> 00:51:45,680 had to have been early experiments with 1318 00:51:49,910 --> 00:51:47,599 multicellular you know stable 1319 00:51:52,069 --> 00:51:49,920 reproducible multicellularity that we 1320 00:51:54,710 --> 00:51:52,079 just don't have representation for today 1321 00:51:57,109 --> 00:51:54,720 so all we have now are animals and 1322 00:51:58,870 --> 00:51:57,119 animals have this very 1323 00:52:00,870 --> 00:51:58,880 uh 1324 00:52:02,230 --> 00:52:00,880 reproducible development from generation 1325 00:52:05,030 --> 00:52:02,240 to generation 1326 00:52:07,589 --> 00:52:05,040 and if and if they didn't 1327 00:52:09,990 --> 00:52:07,599 you know they wouldn't survive we assume 1328 00:52:11,750 --> 00:52:10,000 um but we don't have any examples today 1329 00:52:13,270 --> 00:52:11,760 of ones that 1330 00:52:15,670 --> 00:52:13,280 uh 1331 00:52:17,589 --> 00:52:15,680 are more flexible in that in that 1332 00:52:22,309 --> 00:52:17,599 process so i i think that brings up a 1333 00:52:25,670 --> 00:52:24,069 hi uh my name is matt reinhold from 1334 00:52:27,829 --> 00:52:25,680 stanford university and i want to point 1335 00:52:28,790 --> 00:52:27,839 out that was an amazing talk as well 1336 00:52:30,150 --> 00:52:28,800 um 1337 00:52:31,750 --> 00:52:30,160 it's out of my wheelhouse so i'm just 1338 00:52:34,470 --> 00:52:31,760 going to put out my i want to just get 1339 00:52:36,549 --> 00:52:34,480 your thoughts on a topic and that is 1340 00:52:39,190 --> 00:52:36,559 that for animal life and multicellular 1341 00:52:40,230 --> 00:52:39,200 animals and plants we have this long 1342 00:52:43,510 --> 00:52:40,240 lineage 1343 00:52:46,230 --> 00:52:43,520 of very complex big things right which 1344 00:52:48,069 --> 00:52:46,240 started at some point kind of quickly in 1345 00:52:51,030 --> 00:52:48,079 geologic time mm-hmm whereas the chrono 1346 00:52:53,190 --> 00:52:51,040 fragilants if i said it right yep um 1347 00:52:55,430 --> 00:52:53,200 have basically been doing what you'd 1348 00:52:58,069 --> 00:52:55,440 showed for all that time 1349 00:53:00,069 --> 00:52:58,079 and over the billions of years 1350 00:53:02,230 --> 00:53:00,079 there seems to be this long-term stasis 1351 00:53:03,910 --> 00:53:02,240 but animals decided to do something else 1352 00:53:05,270 --> 00:53:03,920 i was wanting to get your thoughts in 1353 00:53:08,950 --> 00:53:05,280 light of your talk 1354 00:53:10,549 --> 00:53:08,960 as to why what was that 1355 00:53:12,150 --> 00:53:10,559 yeah 1356 00:53:13,190 --> 00:53:12,160 so 1357 00:53:19,430 --> 00:53:13,200 the 1358 00:53:21,030 --> 00:53:19,440 kinds of multicellularity so plants 1359 00:53:23,990 --> 00:53:21,040 animals and fungi are what we call 1360 00:53:24,950 --> 00:53:24,000 clonal multicellularity they evolve by 1361 00:53:28,230 --> 00:53:24,960 um 1362 00:53:30,630 --> 00:53:28,240 stabilizing interactions between sister 1363 00:53:33,109 --> 00:53:30,640 cells after cell division so that first 1364 00:53:33,990 --> 00:53:33,119 cell divides the cells stay together 1365 00:53:35,990 --> 00:53:34,000 and 1366 00:53:38,710 --> 00:53:36,000 that's the kind of multicellularity that 1367 00:53:40,790 --> 00:53:38,720 has led to the complexity that we see in 1368 00:53:41,910 --> 00:53:40,800 animals plants and fungi 1369 00:53:44,549 --> 00:53:41,920 there's a second kind of 1370 00:53:46,790 --> 00:53:44,559 multicellularity called aggregation 1371 00:53:49,030 --> 00:53:46,800 and in this case different 1372 00:53:51,510 --> 00:53:49,040 cells from the same species can come 1373 00:53:54,309 --> 00:53:51,520 together and so you may have heard of an 1374 00:53:56,390 --> 00:53:54,319 organism called diction which is like a 1375 00:53:57,349 --> 00:53:56,400 great example of that the slime mold 1376 00:53:59,430 --> 00:53:57,359 where 1377 00:54:01,030 --> 00:53:59,440 these amoeboid cells are crawling around 1378 00:54:03,829 --> 00:54:01,040 in the soil but when they start to 1379 00:54:05,750 --> 00:54:03,839 starve they send out signals 1380 00:54:06,790 --> 00:54:05,760 that say hey i'm over here 1381 00:54:11,750 --> 00:54:06,800 and they 1382 00:54:13,349 --> 00:54:11,760 this multicellular stock-like structure 1383 00:54:16,069 --> 00:54:13,359 um 1384 00:54:19,430 --> 00:54:16,079 and that type of multicellular is also 1385 00:54:21,670 --> 00:54:19,440 widespread but does not become complex 1386 00:54:24,630 --> 00:54:21,680 and we can talk another time about why 1387 00:54:27,750 --> 00:54:24,640 that might be the case 1388 00:54:30,390 --> 00:54:27,760 so coinoflagellates actually do both 1389 00:54:31,589 --> 00:54:30,400 so they can do clonal multicellularity 1390 00:54:33,109 --> 00:54:31,599 and they can do aggregate of 1391 00:54:35,829 --> 00:54:33,119 multicellularity 1392 00:54:40,069 --> 00:54:37,750 and 1393 00:54:41,670 --> 00:54:40,079 i i suspect that they haven't become 1394 00:54:43,430 --> 00:54:41,680 more complex because they haven't needed 1395 00:54:45,109 --> 00:54:43,440 to you know for whatever reason they 1396 00:54:48,069 --> 00:54:45,119 occupy a niche where whatever they're 1397 00:54:50,230 --> 00:54:48,079 doing is good enough and animals evolve 1398 00:54:52,710 --> 00:54:50,240 multicellularity through 1399 00:54:55,430 --> 00:54:52,720 um it's a very long philosophical 1400 00:54:56,789 --> 00:54:55,440 discussion to have but a combination of 1401 00:54:58,870 --> 00:54:56,799 uh you know 1402 00:55:01,109 --> 00:54:58,880 contingency the type of genetic and 1403 00:55:02,870 --> 00:55:01,119 cellular machinery they inherited and 1404 00:55:04,870 --> 00:55:02,880 chance that they found themselves in 1405 00:55:06,630 --> 00:55:04,880 some environmental niche for which 1406 00:55:07,910 --> 00:55:06,640 multicellularity made sense and that 1407 00:55:09,670 --> 00:55:07,920 could have been 1408 00:55:11,270 --> 00:55:09,680 because 1409 00:55:12,789 --> 00:55:11,280 it allowed them to collect different 1410 00:55:14,870 --> 00:55:12,799 kinds of prey 1411 00:55:16,390 --> 00:55:14,880 it might have allowed them to 1412 00:55:18,789 --> 00:55:16,400 survive 1413 00:55:20,789 --> 00:55:18,799 desiccation in a different way there's a 1414 00:55:21,990 --> 00:55:20,799 lot of we can speculate until the cows 1415 00:55:23,829 --> 00:55:22,000 come home and i don't think there's a 1416 00:55:26,630 --> 00:55:23,839 good answer but it's definitely 1417 00:55:28,309 --> 00:55:26,640 something that people think about okay a 1418 00:55:29,990 --> 00:55:28,319 quick little quick little side question 1419 00:55:32,230 --> 00:55:30,000 has someone done a genetic clock to see 1420 00:55:35,190 --> 00:55:32,240 like when the two groups 1421 00:55:36,390 --> 00:55:35,200 split off uh they have 1422 00:55:38,789 --> 00:55:36,400 and i would love to get all your 1423 00:55:42,309 --> 00:55:38,799 thoughts because i just without a fossil 1424 00:55:43,589 --> 00:55:42,319 record i don't trust the calibration but 1425 00:55:44,710 --> 00:55:43,599 i'm happy 1426 00:55:46,710 --> 00:55:44,720 to be 1427 00:55:48,549 --> 00:55:46,720 disabused of that notion i think you can 1428 00:55:50,710 --> 00:55:48,559 do molecular clocks in animals because 1429 00:55:53,109 --> 00:55:50,720 you have a very nice fossil record um 1430 00:55:54,309 --> 00:55:53,119 but with nothing in choanoflagellates i 1431 00:55:57,910 --> 00:55:54,319 just 1432 00:55:59,990 --> 00:55:57,920 hedge my bets and i say it's in this 1433 00:56:02,789 --> 00:56:00,000 general area 1434 00:56:04,710 --> 00:56:02,799 of time fair enough thanks 1435 00:56:06,630 --> 00:56:04,720 we have time for one more question i 1436 00:56:08,390 --> 00:56:06,640 believe 1437 00:56:09,750 --> 00:56:08,400 there's another one she was there first 1438 00:56:12,309 --> 00:56:09,760 okay 1439 00:56:13,910 --> 00:56:12,319 uh hello my name is amy fong and i'm a 1440 00:56:16,710 --> 00:56:13,920 student at the woods hall oceanographic 1441 00:56:18,549 --> 00:56:16,720 institution and i was wondering that you 1442 00:56:20,470 --> 00:56:18,559 mentioned that this inversion behavior 1443 00:56:23,109 --> 00:56:20,480 was observed in the samples that you 1444 00:56:24,789 --> 00:56:23,119 collected from the splash pools yes and 1445 00:56:27,349 --> 00:56:24,799 i was wondering if you had any 1446 00:56:28,870 --> 00:56:27,359 hypotheses as to why it had something to 1447 00:56:30,230 --> 00:56:28,880 do with like specifically the splash 1448 00:56:32,230 --> 00:56:30,240 pools and not the other samples 1449 00:56:34,230 --> 00:56:32,240 collected around the area and especially 1450 00:56:36,789 --> 00:56:34,240 since you mentioned that it was a more 1451 00:56:38,230 --> 00:56:36,799 uh it had a higher salinity environment 1452 00:56:39,349 --> 00:56:38,240 and it was a lot warmer and i was 1453 00:56:41,990 --> 00:56:39,359 wondering if that had something to do 1454 00:56:43,589 --> 00:56:42,000 with like the other uh kind of like 1455 00:56:45,270 --> 00:56:43,599 yeah just like in general if that had 1456 00:56:48,789 --> 00:56:45,280 something to do with it 1457 00:56:50,870 --> 00:56:48,799 yeah so we don't know i i told you don't 1458 00:56:52,470 --> 00:56:50,880 pay any attention to these predators but 1459 00:56:55,349 --> 00:56:52,480 actually if you do pay attention to the 1460 00:56:57,190 --> 00:56:55,359 predators uh one possibility is that 1461 00:56:59,510 --> 00:56:57,200 it's an escape mechanism and that when 1462 00:57:01,829 --> 00:56:59,520 they get bumped into by a predator 1463 00:57:05,670 --> 00:57:01,839 that that can cause them to invert and 1464 00:57:09,190 --> 00:57:07,270 i don't think there's any way to know 1465 00:57:10,710 --> 00:57:09,200 what the environmental 1466 00:57:13,510 --> 00:57:10,720 connections are or the ecological 1467 00:57:15,510 --> 00:57:13,520 connections until we sample more 1468 00:57:18,549 --> 00:57:15,520 or more different kinds of species we've 1469 00:57:20,630 --> 00:57:18,559 we've sampled this species repeatedly 1470 00:57:22,789 --> 00:57:20,640 and so for exactly that reason we're 1471 00:57:24,549 --> 00:57:22,799 planning to start sampling all over the 1472 00:57:26,630 --> 00:57:24,559 caribbean and going to different 1473 00:57:29,670 --> 00:57:26,640 environments and seeing if we can get 1474 00:57:31,670 --> 00:57:29,680 these types of quantum flagellates from 1475 00:57:32,870 --> 00:57:31,680 different species but from similar 1476 00:57:33,990 --> 00:57:32,880 environments 1477 00:57:36,950 --> 00:57:34,000 because 1478 00:57:39,190 --> 00:57:36,960 correlation is not causation so 1479 00:57:40,630 --> 00:57:39,200 so we just don't really know 1480 00:57:42,870 --> 00:57:40,640 if there's something special about that 1481 00:57:43,750 --> 00:57:42,880 environment or if it's just chance 1482 00:57:46,069 --> 00:57:43,760 yeah 1483 00:57:48,710 --> 00:57:46,079 thank you good question 1484 00:57:51,030 --> 00:57:48,720 we have we have a substantial online 1485 00:57:53,109 --> 00:57:51,040 participation and in recognition of that 1486 00:57:55,190 --> 00:57:53,119 i'm going to stretch it a little bit 1487 00:57:57,829 --> 00:57:55,200 and pose this question that's been 1488 00:57:59,030 --> 00:57:57,839 brought to my attention by ben pierce 1489 00:58:02,309 --> 00:57:59,040 and that is 1490 00:58:05,430 --> 00:58:02,319 does light only induce changes to gmp 1491 00:58:06,309 --> 00:58:05,440 nucleotides what about other nucleotides 1492 00:58:07,829 --> 00:58:06,319 ah 1493 00:58:10,470 --> 00:58:07,839 so um 1494 00:58:13,750 --> 00:58:10,480 yes we've tested and it really is cyclic 1495 00:58:17,109 --> 00:58:13,760 gmp to five prime gmp is the the readout 1496 00:58:19,829 --> 00:58:17,119 it's not any of the cyclic amp um 1497 00:58:22,789 --> 00:58:19,839 and uh and it's not just light so it 1498 00:58:24,150 --> 00:58:22,799 turns out mechanical induction light to 1499 00:58:26,309 --> 00:58:24,160 dark 1500 00:58:29,910 --> 00:58:26,319 we have paper i think it's out now on 1501 00:58:31,829 --> 00:58:29,920 nitric oxide signaling so no gas can 1502 00:58:34,069 --> 00:58:31,839 induce this and and we have others so we 1503 00:58:36,870 --> 00:58:34,079 think that there are many inputs but 1504 00:58:37,990 --> 00:58:36,880 they all seem to go through cyclic gmp 1505 00:58:40,150 --> 00:58:38,000 signaling 1506 00:58:42,710 --> 00:58:40,160 wonderful 1507 00:58:45,430 --> 00:58:42,720 all right ladies and gentlemen um 1508 00:58:47,589 --> 00:58:45,440 this concludes our session 1509 00:58:51,910 --> 00:58:47,599 i would like to thank nicole for a 1510 00:58:53,109 --> 00:58:51,920 really awesome a really beautiful talk 1511 00:58:55,349 --> 00:58:53,119 and 1512 00:58:56,470 --> 00:58:55,359 i've been told to remind everyone that 1513 00:58:58,870 --> 00:58:56,480 coffee 1514 00:59:01,670 --> 00:58:58,880 and refreshments are down on the first 1515 00:59:03,030 --> 00:59:01,680 floor not directly outside 1516 00:59:05,670 --> 00:59:03,040 and so i thank you for your 1517 00:59:08,870 --> 00:59:05,680 participation and for your interest 1518 00:59:10,789 --> 00:59:08,880 have a great day here at absycon and 1519 00:59:16,789 --> 00:59:10,799 let's give another round of applause to