1 00:00:00,790 --> 00:00:07,320 [Music] 2 00:00:11,250 --> 00:00:09,080 [Applause] 3 00:00:13,440 --> 00:00:11,260 I've been looking forward to sharing 4 00:00:15,839 --> 00:00:13,450 with you some recent work that I hope 5 00:00:18,269 --> 00:00:15,849 provides a different perspective on the 6 00:00:19,769 --> 00:00:18,279 origin of cellularity and those of you 7 00:00:21,450 --> 00:00:19,779 who know me know that my lab usually 8 00:00:24,420 --> 00:00:21,460 doesn't work on the subject but rather 9 00:00:25,650 --> 00:00:24,430 on evolutionary history at or around the 10 00:00:27,660 --> 00:00:25,660 time of the last Universal common 11 00:00:30,150 --> 00:00:27,670 ancestor and we know a number of things 12 00:00:32,070 --> 00:00:30,160 about that ancestor one thing we know 13 00:00:34,200 --> 00:00:32,080 that's relevant to this talk is that 14 00:00:37,259 --> 00:00:34,210 that ancestor was most likely cellular 15 00:00:39,990 --> 00:00:37,269 we think that's the case because it had 16 00:00:43,110 --> 00:00:40,000 a signal recognition particle system 17 00:00:45,719 --> 00:00:43,120 which is used for delivering proteins to 18 00:00:47,430 --> 00:00:45,729 the cell membrane and other secreting 19 00:00:49,380 --> 00:00:47,440 proteins out of the membrane or 20 00:00:52,590 --> 00:00:49,390 embedding them within the membrane I 21 00:00:54,539 --> 00:00:52,600 know it says ER lumen here and that's 22 00:00:57,350 --> 00:00:54,549 true for eukaryotes but in prokaryotes 23 00:01:01,320 --> 00:00:57,360 this system occurs on the cell membrane 24 00:01:03,090 --> 00:01:01,330 one of those proteins that was very 25 00:01:04,770 --> 00:01:03,100 likely embedded in the cell membrane of 26 00:01:06,899 --> 00:01:04,780 the last Universal common ancestor was 27 00:01:08,969 --> 00:01:06,909 this ATP synthase motor which is one of 28 00:01:13,410 --> 00:01:08,979 my favorite proteins and it's 29 00:01:16,020 --> 00:01:13,420 responsible for forming ATP from ADP and 30 00:01:21,029 --> 00:01:16,030 phosphate by way of a proton motive 31 00:01:22,679 --> 00:01:21,039 force that is that is created by a 32 00:01:25,469 --> 00:01:22,689 proton or sometimes sodium gradient 33 00:01:28,739 --> 00:01:25,479 that's stabilized by in the case of 34 00:01:32,819 --> 00:01:28,749 prokaryotes a cell membrane but when we 35 00:01:34,889 --> 00:01:32,829 think about the origin of life we don't 36 00:01:36,599 --> 00:01:34,899 know how it happened I'm agnostic about 37 00:01:38,550 --> 00:01:36,609 how it happened myself because I tend to 38 00:01:39,809 --> 00:01:38,560 study things that happen much later but 39 00:01:41,580 --> 00:01:39,819 I hope we can agree that it wasn't the 40 00:01:45,330 --> 00:01:41,590 type of cellular organism that we see in 41 00:01:47,219 --> 00:01:45,340 modern life today and in several of the 42 00:01:49,230 --> 00:01:47,229 most you know popular hypotheses for 43 00:01:51,510 --> 00:01:49,240 what the simple genetic replicators were 44 00:01:53,719 --> 00:01:51,520 that led to the origin of life they 45 00:01:57,690 --> 00:01:53,729 didn't really require cellularity at all 46 00:02:00,239 --> 00:01:57,700 now that's not to say that the 47 00:02:02,340 --> 00:02:00,249 environment itself didn't provide some 48 00:02:03,989 --> 00:02:02,350 of the benefits of cellularity we've 49 00:02:09,029 --> 00:02:03,999 heard a lot about concentration both of 50 00:02:13,140 --> 00:02:09,039 this session and at the morning session 51 00:02:15,930 --> 00:02:13,150 and so these simple replicators likely 52 00:02:18,590 --> 00:02:15,940 required a rich geochemical environment 53 00:02:20,230 --> 00:02:18,600 whatever that environment may be that 54 00:02:22,330 --> 00:02:20,240 provided them 55 00:02:26,470 --> 00:02:22,340 with the kinds of compound some source 56 00:02:30,070 --> 00:02:26,480 of chemical potential energy and and 57 00:02:31,900 --> 00:02:30,080 also mechanisms for concentrating those 58 00:02:33,250 --> 00:02:31,910 compounds and making reactions 59 00:02:37,000 --> 00:02:33,260 thermodynamically are kinetically 60 00:02:39,160 --> 00:02:37,010 favorable but if the last Universal 61 00:02:41,850 --> 00:02:39,170 common ancestor was cellular and the 62 00:02:44,650 --> 00:02:41,860 origin of life was non cellular than 63 00:02:48,250 --> 00:02:44,660 that suggests that cellularity arose in 64 00:02:51,040 --> 00:02:48,260 between these two stages and maybe 65 00:02:53,110 --> 00:02:51,050 evolved because it's an adaptive trait 66 00:02:54,790 --> 00:02:53,120 and if it's an adaptive trait then there 67 00:02:58,120 --> 00:02:54,800 may have been some selective pressure 68 00:02:59,970 --> 00:02:58,130 that guided that evolutionary process 69 00:03:04,300 --> 00:02:59,980 and we were interested in understanding 70 00:03:07,030 --> 00:03:04,310 what those selective pressures selection 71 00:03:08,800 --> 00:03:07,040 pressures might be and so we designed 72 00:03:11,040 --> 00:03:08,810 what's called a digital life simulation 73 00:03:16,480 --> 00:03:11,050 where we kind of abstract some of the 74 00:03:18,790 --> 00:03:16,490 activities of organisms and which allows 75 00:03:20,860 --> 00:03:18,800 us to test hypotheses that we couldn't 76 00:03:25,600 --> 00:03:20,870 otherwise test in a laboratory setting 77 00:03:29,550 --> 00:03:25,610 or using phylogenetic analysis and so in 78 00:03:33,610 --> 00:03:29,560 our digital life system there are 79 00:03:35,860 --> 00:03:33,620 populations of organisms and they live 80 00:03:38,020 --> 00:03:35,870 in an environment with a shared food 81 00:03:41,260 --> 00:03:38,030 stock and some predetermined fixed 82 00:03:44,650 --> 00:03:41,270 population capacity each organism has a 83 00:03:47,530 --> 00:03:44,660 genome that has both metabolic genes and 84 00:03:49,810 --> 00:03:47,540 cellularity genes I'm not going to talk 85 00:03:51,190 --> 00:03:49,820 about how the metabolism works because I 86 00:03:52,600 --> 00:03:51,200 tried it over and over again I couldn't 87 00:03:55,540 --> 00:03:52,610 get it under five minutes so you can ask 88 00:03:59,950 --> 00:03:55,550 me questions about it later but in 89 00:04:02,020 --> 00:03:59,960 general the metabolism allows organisms 90 00:04:04,210 --> 00:04:02,030 to process the food particles and then 91 00:04:06,760 --> 00:04:04,220 received some energy reward for how well 92 00:04:09,400 --> 00:04:06,770 they process the food particles that 93 00:04:11,290 --> 00:04:09,410 energy is required to continue to tick 94 00:04:13,840 --> 00:04:11,300 through the genome and every time step 95 00:04:17,440 --> 00:04:13,850 in the simulation costs one each 96 00:04:20,349 --> 00:04:17,450 organism one energy unit once the 97 00:04:22,150 --> 00:04:20,359 organisms have accumulated an amount of 98 00:04:25,000 --> 00:04:22,160 energy that's equivalent to two times 99 00:04:26,590 --> 00:04:25,010 their initial allotment at the beginning 100 00:04:29,110 --> 00:04:26,600 of the simulation they automatically 101 00:04:32,770 --> 00:04:29,120 divide and that energy is split between 102 00:04:33,940 --> 00:04:32,780 the two resulting organisms I do want to 103 00:04:36,700 --> 00:04:33,950 talk briefly about the cellular 104 00:04:39,880 --> 00:04:36,710 Jeanne's so the cellularity of an 105 00:04:43,410 --> 00:04:39,890 organism is some number between zero and 106 00:04:45,790 --> 00:04:43,420 one that's defined by the number of 107 00:04:48,850 --> 00:04:45,800 cellularity genes that follows this 108 00:04:50,770 --> 00:04:48,860 equation here and a low level of 109 00:04:53,890 --> 00:04:50,780 cellularity has the consequence that the 110 00:04:57,280 --> 00:04:53,900 organism is essentially leakier so a low 111 00:04:59,320 --> 00:04:57,290 level a low cellularity organism will be 112 00:05:01,540 --> 00:04:59,330 more likely to lose genetic material to 113 00:05:02,740 --> 00:05:01,550 the environment but also receive genetic 114 00:05:04,840 --> 00:05:02,750 material that's floating around in the 115 00:05:08,350 --> 00:05:04,850 environment it will also be more likely 116 00:05:11,950 --> 00:05:08,360 to lose energy rewards that it got from 117 00:05:15,160 --> 00:05:11,960 metabolism but also receive energy that 118 00:05:19,450 --> 00:05:15,170 is floating around in the environment in 119 00:05:21,850 --> 00:05:19,460 addition to the mutations that a cell or 120 00:05:23,680 --> 00:05:21,860 an organism might have due to this 121 00:05:26,500 --> 00:05:23,690 random horizontal gene transfer that's a 122 00:05:31,480 --> 00:05:26,510 consequence of low cellularity the 123 00:05:34,080 --> 00:05:31,490 organisms are also regularly are their 124 00:05:37,770 --> 00:05:34,090 genomes are regularly mutated through 125 00:05:41,590 --> 00:05:37,780 insertions of any of these genomic 126 00:05:44,370 --> 00:05:41,600 instruction types deletions of those 127 00:05:46,690 --> 00:05:44,380 genomic instructions or small 128 00:05:49,180 --> 00:05:46,700 reconfigurations of the metabolic 129 00:05:54,940 --> 00:05:49,190 network that they use to process food 130 00:05:56,500 --> 00:05:54,950 particles and after we had created this 131 00:05:58,540 --> 00:05:56,510 digital life simulation we were kind of 132 00:06:01,810 --> 00:05:58,550 looking through the different parameter 133 00:06:03,970 --> 00:06:01,820 definable parameter spaces and trying to 134 00:06:05,950 --> 00:06:03,980 determine what would be a good area to 135 00:06:08,350 --> 00:06:05,960 investigate for selection pressures and 136 00:06:11,050 --> 00:06:08,360 one thing that we noticed was when we 137 00:06:14,230 --> 00:06:11,060 made the energy reward from processing 138 00:06:17,050 --> 00:06:14,240 food very generous we would always see 139 00:06:18,640 --> 00:06:17,060 an evolution of non cellularity and what 140 00:06:20,260 --> 00:06:18,650 we thought might have been happening is 141 00:06:22,480 --> 00:06:20,270 that organisms were starting off with 142 00:06:24,550 --> 00:06:22,490 zero cellularity it didn't take much 143 00:06:27,550 --> 00:06:24,560 metabolism basically the metabolism of a 144 00:06:29,050 --> 00:06:27,560 randomized genome to get a lot of energy 145 00:06:31,660 --> 00:06:29,060 and then that energy was leaking out 146 00:06:34,690 --> 00:06:31,670 into the environment and it behooved 147 00:06:36,760 --> 00:06:34,700 organisms to maintain a low cellularity 148 00:06:38,560 --> 00:06:36,770 so that well that's not the right way to 149 00:06:41,530 --> 00:06:38,570 talk about evolutionary processes it's 150 00:06:43,660 --> 00:06:41,540 selected for organisms that had a low 151 00:06:45,550 --> 00:06:43,670 level of cellularity because those 152 00:06:47,559 --> 00:06:45,560 organisms were able to take advantage of 153 00:06:49,329 --> 00:06:47,569 the energy pool in the environment 154 00:06:54,939 --> 00:06:49,339 so that led us to a more formal 155 00:06:56,439 --> 00:06:54,949 hypothesis that under in environments 156 00:06:59,260 --> 00:06:56,449 where there was a high level of not just 157 00:07:01,809 --> 00:06:59,270 food but the energy that is a reward 158 00:07:03,339 --> 00:07:01,819 from processing food so if we give them 159 00:07:04,719 --> 00:07:03,349 freely available energy in the 160 00:07:06,669 --> 00:07:04,729 environment that will actually select 161 00:07:08,409 --> 00:07:06,679 for non cellularity and it's only when 162 00:07:11,379 --> 00:07:08,419 we limit that energy in the environment 163 00:07:13,239 --> 00:07:11,389 that it will select for cellularity so 164 00:07:15,790 --> 00:07:13,249 we set up a series of experiments to 165 00:07:18,489 --> 00:07:15,800 test this hypothesis half of those 166 00:07:21,489 --> 00:07:18,499 experiments had simulations where 167 00:07:23,499 --> 00:07:21,499 organisms began with 0% cellularity and 168 00:07:25,209 --> 00:07:23,509 we either gave them unlimited food and 169 00:07:27,040 --> 00:07:25,219 energy in the environment or we gave 170 00:07:28,209 --> 00:07:27,050 them unlimited food but limited the 171 00:07:31,089 --> 00:07:28,219 amount of energy that was in the 172 00:07:32,980 --> 00:07:31,099 environment the other half so that we 173 00:07:35,709 --> 00:07:32,990 could assign a direction of selection 174 00:07:38,019 --> 00:07:35,719 here the other half began with a 175 00:07:39,399 --> 00:07:38,029 cellularity value of eighty seven and a 176 00:07:41,799 --> 00:07:39,409 half percent which is equivalent to 177 00:07:44,679 --> 00:07:41,809 three cellularity jeans and then again 178 00:07:47,469 --> 00:07:44,689 they either had unlimited food and 179 00:07:49,209 --> 00:07:47,479 energy in the environment or unlimited 180 00:07:51,129 --> 00:07:49,219 food but limited energy in the 181 00:07:53,589 --> 00:07:51,139 environment and we ran each of these 182 00:07:55,989 --> 00:07:53,599 different experiments under three 183 00:07:58,239 --> 00:07:55,999 different maximum population capacities 184 00:08:00,730 --> 00:07:58,249 to see whether population pressure 185 00:08:02,439 --> 00:08:00,740 played any role and then we ran each of 186 00:08:03,689 --> 00:08:02,449 those simulations three times so each of 187 00:08:06,639 --> 00:08:03,699 these experiments has nine different 188 00:08:08,350 --> 00:08:06,649 simulations and all of the results of 189 00:08:12,399 --> 00:08:08,360 those were pretty similar so I want to 190 00:08:14,920 --> 00:08:12,409 direct your attention to panel B here in 191 00:08:17,499 --> 00:08:14,930 which the organisms begin with a 192 00:08:19,059 --> 00:08:17,509 cellularity of zero percent but we limit 193 00:08:21,129 --> 00:08:19,069 the amount of energy in the environment 194 00:08:23,109 --> 00:08:21,139 and as our hypothesis would predict we 195 00:08:25,689 --> 00:08:23,119 see an evolution toward cellularity 196 00:08:27,790 --> 00:08:25,699 these are population averages of the 197 00:08:30,759 --> 00:08:27,800 cellularity across all of the organisms 198 00:08:36,879 --> 00:08:30,769 in the simulation and the cellularity 199 00:08:38,819 --> 00:08:36,889 reaches near 100% I also want to direct 200 00:08:41,379 --> 00:08:38,829 your attention to this panel where we 201 00:08:44,110 --> 00:08:41,389 where the organisms begin with a high 202 00:08:46,629 --> 00:08:44,120 level of cellularity but we give them 203 00:08:49,120 --> 00:08:46,639 both unlimited food and unlimited energy 204 00:08:52,120 --> 00:08:49,130 and in every one of these simulations 205 00:08:54,900 --> 00:08:52,130 the cellularity value of the average 206 00:08:57,939 --> 00:08:54,910 cellularity of the entire population 207 00:09:01,390 --> 00:08:57,949 settles at pretty close to 0% 208 00:09:04,020 --> 00:09:01,400 cellularity so 209 00:09:06,670 --> 00:09:04,030 our predictions were borne out by these 210 00:09:10,060 --> 00:09:06,680 experiments at the same time that we 211 00:09:12,280 --> 00:09:10,070 were measuring cellularity we were also 212 00:09:14,110 --> 00:09:12,290 measuring how good their metabolism was 213 00:09:16,750 --> 00:09:14,120 and we did that by pausing the 214 00:09:19,000 --> 00:09:16,760 simulation and giving the each organism 215 00:09:21,420 --> 00:09:19,010 1000 food particles that they would 216 00:09:24,330 --> 00:09:21,430 process and then we took the average 217 00:09:28,150 --> 00:09:24,340 quality of their solution to the food 218 00:09:29,950 --> 00:09:28,160 processing and then we averaged that 219 00:09:31,930 --> 00:09:29,960 across the whole population and we came 220 00:09:34,300 --> 00:09:31,940 up with a value of metabolic proficiency 221 00:09:36,880 --> 00:09:34,310 now a metabolic proficiency of zero 222 00:09:39,310 --> 00:09:36,890 means no metabolism is happening a 223 00:09:41,560 --> 00:09:39,320 metabolic proficiency of eight for 224 00:09:43,360 --> 00:09:41,570 reasons of how the metabolism works that 225 00:09:45,610 --> 00:09:43,370 I didn't discuss in this talk a 226 00:09:48,370 --> 00:09:45,620 metabolic proficiency of eight means a 227 00:09:50,110 --> 00:09:48,380 perfect metabolism and a randomized 228 00:09:53,170 --> 00:09:50,120 genome like the ones that they start 229 00:09:58,680 --> 00:09:53,180 with is equivalent to a little under 230 00:10:01,330 --> 00:09:58,690 four so in every scenario where we 231 00:10:03,940 --> 00:10:01,340 limited the amount of energy in the 232 00:10:07,870 --> 00:10:03,950 environment organisms had to process 233 00:10:11,140 --> 00:10:07,880 food to get energy that's panel B and E 234 00:10:13,870 --> 00:10:11,150 and in all of those cases the the 235 00:10:15,970 --> 00:10:13,880 metabolic proficiency increased over 236 00:10:21,090 --> 00:10:15,980 time but in every case where they gave 237 00:10:24,160 --> 00:10:21,100 them unlimited energy metabolism 238 00:10:26,080 --> 00:10:24,170 metabolic proficiency did not increase 239 00:10:28,870 --> 00:10:26,090 in the population so they settled at 240 00:10:33,460 --> 00:10:28,880 basically the random value R the value 241 00:10:35,710 --> 00:10:33,470 of a randomized genome so this shows 242 00:10:38,230 --> 00:10:35,720 that and these results aren't too 243 00:10:40,330 --> 00:10:38,240 surprising but taken together this shows 244 00:10:46,780 --> 00:10:40,340 that when there's energy in the 245 00:10:48,250 --> 00:10:46,790 environment that selection is that 246 00:10:50,320 --> 00:10:48,260 natural that the selection within our 247 00:10:52,810 --> 00:10:50,330 digital life simulation is selecting for 248 00:10:55,710 --> 00:10:52,820 populations of organisms that have both 249 00:10:58,090 --> 00:10:55,720 a low level of cellularity and a 250 00:11:00,520 --> 00:10:58,100 metabolic proficiency that's equivalent 251 00:11:02,860 --> 00:11:00,530 to a randomized genome when energy is 252 00:11:06,610 --> 00:11:02,870 limited in the environment organisms 253 00:11:09,280 --> 00:11:06,620 have to process food metabolically and 254 00:11:11,230 --> 00:11:09,290 so we see metabolites metabolic 255 00:11:13,000 --> 00:11:11,240 proficiency increased but we also see 256 00:11:14,950 --> 00:11:13,010 cellularity increase across the 257 00:11:17,290 --> 00:11:14,960 population 258 00:11:21,190 --> 00:11:17,300 and between these two extremes we see 259 00:11:24,150 --> 00:11:21,200 that these two traits are linked and so 260 00:11:26,140 --> 00:11:24,160 this is just the experiment in which 261 00:11:28,960 --> 00:11:26,150 organism started with zero percent 262 00:11:31,570 --> 00:11:28,970 cellularity and we gave them unlimited 263 00:11:37,000 --> 00:11:31,580 food but we limited the amount of energy 264 00:11:39,280 --> 00:11:37,010 in the environment and as cellularity 265 00:11:43,510 --> 00:11:39,290 increased so did metabolic proficiency 266 00:11:45,520 --> 00:11:43,520 so these are the the data points for all 267 00:11:48,610 --> 00:11:45,530 of all nine of the simulations in this 268 00:11:50,800 --> 00:11:48,620 experiment and you see that they're very 269 00:11:52,780 --> 00:11:50,810 strongly correlated these two traits are 270 00:11:55,330 --> 00:11:52,790 very strongly correlated with one 271 00:11:57,490 --> 00:11:55,340 another as they are evolving and so we 272 00:11:59,370 --> 00:11:57,500 take this as evidence that within the 273 00:12:02,790 --> 00:11:59,380 context of our digital life simulation 274 00:12:05,320 --> 00:12:02,800 the cellular the cellular T and 275 00:12:07,660 --> 00:12:05,330 metabolism are actually Co evolving with 276 00:12:09,370 --> 00:12:07,670 one another and we think this is 277 00:12:11,800 --> 00:12:09,380 important for the context of the origin 278 00:12:15,760 --> 00:12:11,810 of life because if you consider the kind 279 00:12:17,980 --> 00:12:15,770 of geochemical environment that we'd all 280 00:12:19,750 --> 00:12:17,990 like to see as an origin of life setting 281 00:12:23,350 --> 00:12:19,760 one that was very rich that was 282 00:12:25,360 --> 00:12:23,360 providing the early simple replicators 283 00:12:27,700 --> 00:12:25,370 with all of the materials and energy 284 00:12:29,500 --> 00:12:27,710 that they would need to keep going it's 285 00:12:33,280 --> 00:12:29,510 not just the case that the simple 286 00:12:35,980 --> 00:12:33,290 replicators were non cellular when they 287 00:12:39,070 --> 00:12:35,990 first arose but that this environment 288 00:12:42,340 --> 00:12:39,080 would have strongly selected for non 289 00:12:45,780 --> 00:12:42,350 cellularity and it wasn't until a change 290 00:12:48,490 --> 00:12:45,790 occurred in that environment that 291 00:12:51,370 --> 00:12:48,500 cellularity and metabolism would have 292 00:12:52,570 --> 00:12:51,380 co-evolved I think for the interest of 293 00:12:55,390 --> 00:12:52,580 time because I'd like to take questions 294 00:12:58,930 --> 00:12:55,400 I'm going to skip some other experiments 295 00:13:03,190 --> 00:12:58,940 and just point out that there were 296 00:13:08,160 --> 00:13:03,200 several co-authors on this work unit 297 00:13:11,290 --> 00:13:08,170 ACOG II who's shown here in my lab circa 298 00:13:14,370 --> 00:13:11,300 2015 also sitting right there as yab 299 00:13:18,310 --> 00:13:14,380 nuyen who is sitting right there or here 300 00:13:20,230 --> 00:13:18,320 from my lab this year and then Tom 301 00:13:22,800 --> 00:13:20,240 Wexler is a colleague who was at Oberlin 302 00:13:25,780 --> 00:13:22,810 College but has since left for Google 303 00:13:27,550 --> 00:13:25,790 also some funding sources who made this 304 00:13:31,780 --> 00:13:27,560 work possible and thank you for your 305 00:13:31,790 --> 00:13:36,400 [Applause] 306 00:13:42,050 --> 00:13:39,140 multiple the ability to do a metabolism 307 00:13:44,690 --> 00:13:42,060 is not the only benefit of a membrane 308 00:13:47,870 --> 00:13:44,700 for example a membrane protects yourself 309 00:13:50,090 --> 00:13:47,880 against molecular parasites and a 310 00:13:54,820 --> 00:13:50,100 membrane helps you to define yourself 311 00:13:57,860 --> 00:13:54,830 for evolution which means I think your 312 00:13:59,329 --> 00:13:57,870 your conclusion is right that once you 313 00:14:01,280 --> 00:13:59,339 need to have a metabolism you need a 314 00:14:03,710 --> 00:14:01,290 membrane but I would not make the other 315 00:14:06,290 --> 00:14:03,720 conclusion that without the necessity 316 00:14:07,730 --> 00:14:06,300 for metabolism you don't need a membrane 317 00:14:08,870 --> 00:14:07,740 actually you're absolutely right and I 318 00:14:12,190 --> 00:14:08,880 skipped over the experiment that 319 00:14:16,340 --> 00:14:12,200 demonstrates that so apologies for that 320 00:14:17,810 --> 00:14:16,350 so we actually turned off because it's a 321 00:14:19,670 --> 00:14:17,820 digital life simulation we can do that 322 00:14:22,600 --> 00:14:19,680 we turned off the consequences of 323 00:14:28,220 --> 00:14:22,610 randomized horizontal gene transfer and 324 00:14:29,690 --> 00:14:28,230 when when there is unlimited energy in 325 00:14:32,329 --> 00:14:29,700 the environment and organisms don't have 326 00:14:37,850 --> 00:14:32,339 to do metabolism we still see a strong 327 00:14:40,190 --> 00:14:37,860 selection for non cellularity but when 328 00:14:41,300 --> 00:14:40,200 there is limited energy in the 329 00:14:43,550 --> 00:14:41,310 environment and they have to do 330 00:14:46,010 --> 00:14:43,560 metabolism with horizontal gene transfer 331 00:14:47,870 --> 00:14:46,020 turned off it doesn't really settle the 332 00:14:49,010 --> 00:14:47,880 cellularity doesn't increase to a 333 00:14:50,570 --> 00:14:49,020 hundred percent or near a hundred 334 00:14:53,150 --> 00:14:50,580 percent it actually kind of fluctuates 335 00:14:56,390 --> 00:14:53,160 around and you can see we've extended 336 00:14:58,070 --> 00:14:56,400 the simulation how to ten to the fifth 337 00:15:02,410 --> 00:14:58,080 time steps and it's still fluctuating 338 00:15:06,320 --> 00:15:02,420 around and so we think that in the 339 00:15:08,630 --> 00:15:06,330 situation where there's unlimited energy 340 00:15:10,370 --> 00:15:08,640 there's selection for not having a very 341 00:15:13,070 --> 00:15:10,380 good metabolism or there's not selection 342 00:15:15,380 --> 00:15:13,080 at all for metabolism it seems to be the 343 00:15:16,610 --> 00:15:15,390 equivalent of a random randomized genome 344 00:15:19,280 --> 00:15:16,620 but there's selection for non 345 00:15:23,780 --> 00:15:19,290 cellularity to take advantage of the 346 00:15:25,850 --> 00:15:23,790 energy in the environment but when we 347 00:15:27,829 --> 00:15:25,860 limit the energy in the environment the 348 00:15:30,790 --> 00:15:27,839 selection is for having a proficient 349 00:15:34,100 --> 00:15:30,800 metabolism and cellularity just as you 350 00:15:35,960 --> 00:15:34,110 suggested is actually a mechanism for 351 00:15:38,810 --> 00:15:35,970 providing genetic fidelity to the 352 00:15:44,210 --> 00:15:41,500 a there's an interesting set of 353 00:15:45,290 --> 00:15:44,220 simulations now one of the things that 354 00:15:46,760 --> 00:15:45,300 you point out is that there's a 355 00:15:49,490 --> 00:15:46,770 selection pressure away from the 356 00:15:51,560 --> 00:15:49,500 cellularity and so my question is are 357 00:15:55,640 --> 00:15:51,570 there you know systems and modern 358 00:15:58,550 --> 00:15:55,650 biology high-energy lots of food that 359 00:16:00,530 --> 00:15:58,560 you can look to and see and it doesn't 360 00:16:03,890 --> 00:16:00,540 make sense to look at modern well you 361 00:16:06,980 --> 00:16:03,900 know I think viruses don't have to do 362 00:16:10,370 --> 00:16:06,990 their own metabolism and they need to 363 00:16:12,440 --> 00:16:10,380 have a little in a spacesuit to get from 364 00:16:14,260 --> 00:16:12,450 cell to cell but once they're in the 365 00:16:17,990 --> 00:16:14,270 cell they kind of become these non 366 00:16:19,700 --> 00:16:18,000 cellular entities within the cell and so 367 00:16:21,170 --> 00:16:19,710 that might be I can't think of any 368 00:16:23,900 --> 00:16:21,180 others off the top of my head but that 369 00:16:29,620 --> 00:16:23,910 might be a nice analogy to the kind of 370 00:16:31,140 --> 00:16:30,610 [Applause]