1 00:00:00,790 --> 00:00:07,320 [Music] 2 00:00:12,610 --> 00:00:09,480 [Applause] 3 00:00:14,940 --> 00:00:12,620 okay thank you very much the next talk 4 00:00:17,650 --> 00:00:14,950 will be about the question on how 5 00:00:19,870 --> 00:00:17,660 molecular complexity can increase in the 6 00:00:22,029 --> 00:00:19,880 system which does not know any identical 7 00:00:24,249 --> 00:00:22,039 reproduction so that's the core question 8 00:00:26,200 --> 00:00:24,259 here is the depiction of that one we 9 00:00:28,419 --> 00:00:26,210 start very early times with small 10 00:00:30,999 --> 00:00:28,429 molecules at the end we will have life 11 00:00:34,390 --> 00:00:31,009 and in between over the time axis we 12 00:00:37,000 --> 00:00:34,400 have an increase we have a huge increase 13 00:00:39,340 --> 00:00:37,010 of complexity we know that Darwinian 14 00:00:41,380 --> 00:00:39,350 evolution can go do a very good job and 15 00:00:43,990 --> 00:00:41,390 that one but this can only start at a 16 00:00:46,140 --> 00:00:44,000 point where we have a system which can 17 00:00:48,430 --> 00:00:46,150 self reproducing 18 00:00:50,380 --> 00:00:48,440 before that period what about this 19 00:00:53,560 --> 00:00:50,390 stretch here what's happening there but 20 00:00:55,600 --> 00:00:53,570 whatever it is it has to obey one very 21 00:00:57,400 --> 00:00:55,610 important principle that's constant 22 00:00:59,620 --> 00:00:57,410 non-equilibrium we definitely need a 23 00:01:02,350 --> 00:00:59,630 constant long long constant 24 00:01:04,420 --> 00:01:02,360 non-equilibrium since otherwise we will 25 00:01:06,340 --> 00:01:04,430 have a situation where the system runs 26 00:01:09,039 --> 00:01:06,350 into equilibrium at a very short time 27 00:01:11,289 --> 00:01:09,049 forms a crystal maybe by a dissipation 28 00:01:14,320 --> 00:01:11,299 of energy when then this will stop in 29 00:01:16,600 --> 00:01:14,330 order to keep this a long going process 30 00:01:19,630 --> 00:01:16,610 we need to do something that keeps it in 31 00:01:23,560 --> 00:01:19,640 a non equilibrium state and made from to 32 00:01:26,050 --> 00:01:23,570 my opinion the most the most efficient 33 00:01:28,960 --> 00:01:26,060 way to do that is to change reaction 34 00:01:32,230 --> 00:01:28,970 conditions in an alternating way for 35 00:01:33,910 --> 00:01:32,240 example by switching some sort of a 36 00:01:36,719 --> 00:01:33,920 reaction condition switching some 37 00:01:40,570 --> 00:01:36,729 parameter which keeps the system 38 00:01:42,969 --> 00:01:40,580 following moving target so the system 39 00:01:45,070 --> 00:01:42,979 will start to run into a liquid then the 40 00:01:48,580 --> 00:01:45,080 parameter will change and then it will 41 00:01:50,500 --> 00:01:48,590 have to start a new and so on so how can 42 00:01:52,420 --> 00:01:50,510 the question now is how could this be 43 00:01:54,430 --> 00:01:52,430 done on early Earth which parameter 44 00:01:57,340 --> 00:01:54,440 would change periodically on early Earth 45 00:01:59,710 --> 00:01:57,350 and of course the first thing that comes 46 00:02:02,950 --> 00:01:59,720 to mind is the day/night cycle for 47 00:02:05,980 --> 00:02:02,960 example changing the dryness and wetness 48 00:02:08,820 --> 00:02:05,990 condition and this leads to dry weight 49 00:02:11,740 --> 00:02:08,830 cycling dry wet cycling we change the 50 00:02:13,839 --> 00:02:11,750 chemical potential of water and this 51 00:02:17,589 --> 00:02:13,849 change in chemical potential of water 52 00:02:20,110 --> 00:02:17,599 will induce such a situation on 53 00:02:21,729 --> 00:02:20,120 a long ongoing process this was well 54 00:02:23,979 --> 00:02:21,739 described in two papers which I want to 55 00:02:26,229 --> 00:02:23,989 cite here but Paul Higgs and David Ross 56 00:02:28,869 --> 00:02:26,239 and David Deamer but there are also 57 00:02:30,670 --> 00:02:28,879 other situations that we need to take 58 00:02:33,129 --> 00:02:30,680 into account for example there are 59 00:02:35,649 --> 00:02:33,139 cyclic processes which affect the 60 00:02:37,599 --> 00:02:35,659 pressure for example if you look at the 61 00:02:40,300 --> 00:02:37,609 tidal phenomena or if we look at 62 00:02:43,119 --> 00:02:40,310 periodic geological processes like 63 00:02:45,280 --> 00:02:43,129 geysers and if this happens then there 64 00:02:47,949 --> 00:02:45,290 are situations there are positions for 65 00:02:50,409 --> 00:02:47,959 example the earth crust one kilometer in 66 00:02:51,879 --> 00:02:50,419 depth where we can induce phase 67 00:02:55,119 --> 00:02:51,889 transitions for example a phase 68 00:02:57,309 --> 00:02:55,129 transition from gaseous carbon dioxide 69 00:03:00,009 --> 00:02:57,319 to supercritical carbon dioxide and we 70 00:03:01,899 --> 00:03:00,019 have that we can switch between two 71 00:03:04,569 --> 00:03:01,909 states of carbon dioxide that were very 72 00:03:06,819 --> 00:03:04,579 different in their thrall vent quality 73 00:03:09,670 --> 00:03:06,829 so we start switching a very good 74 00:03:11,979 --> 00:03:09,680 solvent into a very bad solvent this has 75 00:03:14,589 --> 00:03:11,989 interesting consequences for example we 76 00:03:17,890 --> 00:03:14,599 can run a cycle of condensation and 77 00:03:19,990 --> 00:03:17,900 hydrolysis when the carbon dioxide is 78 00:03:22,960 --> 00:03:20,000 supercritical it takes up a lot of water 79 00:03:25,300 --> 00:03:22,970 due to that the condensation step will 80 00:03:27,369 --> 00:03:25,310 be facilitated water will be taken away 81 00:03:30,249 --> 00:03:27,379 from the chain molecule and we can 82 00:03:32,050 --> 00:03:30,259 polymerize amino acids for example on 83 00:03:34,089 --> 00:03:32,060 the other hand when the carbon dioxide 84 00:03:36,219 --> 00:03:34,099 becomes subcritical again the water is 85 00:03:38,619 --> 00:03:36,229 coming back and the molecule will 86 00:03:41,379 --> 00:03:38,629 hydrolyze and it will be turned down 87 00:03:44,439 --> 00:03:41,389 into amino acids again so every switch 88 00:03:48,129 --> 00:03:44,449 in pressure will induce one cycle of 89 00:03:50,140 --> 00:03:48,139 condensation and hydrolysis but the 90 00:03:53,229 --> 00:03:50,150 cycle can do more for example it can 91 00:03:55,869 --> 00:03:53,239 start a generation of vesicles if we 92 00:03:57,999 --> 00:03:55,879 look at the carbon dioxide in a 93 00:03:59,920 --> 00:03:58,009 supercritical state it's a good solvent 94 00:04:02,110 --> 00:03:59,930 so it will saturate with water it will 95 00:04:04,059 --> 00:04:02,120 take up organic molecules and it will 96 00:04:06,520 --> 00:04:04,069 take up and fulfill acknowledge Jules 97 00:04:08,770 --> 00:04:06,530 when the carbon dioxide turns up 98 00:04:11,399 --> 00:04:08,780 critical again the water will condensate 99 00:04:13,509 --> 00:04:11,409 in small droplets the surfactant 100 00:04:15,279 --> 00:04:13,519 amphiphilic molecules will cover the 101 00:04:17,890 --> 00:04:15,289 surface and the organic molecules will 102 00:04:19,870 --> 00:04:17,900 be inside and when these droplets settle 103 00:04:21,610 --> 00:04:19,880 onto the surface then there will be an 104 00:04:23,379 --> 00:04:21,620 interaction between the amphiphilic 105 00:04:25,420 --> 00:04:23,389 layer on the droplet surface and the 106 00:04:27,490 --> 00:04:25,430 amplified layer down here and this will 107 00:04:29,060 --> 00:04:27,500 lead to the formation of vesicles that's 108 00:04:30,890 --> 00:04:29,070 how they look like in the experiment 109 00:04:33,020 --> 00:04:30,900 here and of course these vesicles will 110 00:04:34,970 --> 00:04:33,030 disintegrate after time especially when 111 00:04:38,570 --> 00:04:34,980 the carbon dioxide becomes supercritical 112 00:04:40,820 --> 00:04:38,580 again then we follow another cycle here 113 00:04:44,270 --> 00:04:40,830 so every change in pressure will induce 114 00:04:46,790 --> 00:04:44,280 one generation of vesicles so now we 115 00:04:49,670 --> 00:04:46,800 have a pool of peptides and we have 116 00:04:51,680 --> 00:04:49,680 generations of vesicles of course we 117 00:04:53,480 --> 00:04:51,690 will expect some interaction not of the 118 00:04:56,060 --> 00:04:53,490 hydrophilic ones not out of the 119 00:04:57,170 --> 00:04:56,070 hydrophobic ones but of those peptides 120 00:04:59,390 --> 00:04:57,180 which are amphiphilic 121 00:05:01,490 --> 00:04:59,400 for those peptides the vesicles will be 122 00:05:04,040 --> 00:05:01,500 something like a kinetic trap these 123 00:05:06,050 --> 00:05:04,050 peptides will be able to integrate into 124 00:05:08,270 --> 00:05:06,060 the membrane by integration that will 125 00:05:11,000 --> 00:05:08,280 become protected against hydrolysis so 126 00:05:13,460 --> 00:05:11,010 they will accumulate and they will 127 00:05:16,580 --> 00:05:13,470 increase in numbers I call this the 128 00:05:18,650 --> 00:05:16,590 parasitic step because in this position 129 00:05:21,260 --> 00:05:18,660 we will have an advantage to the peptide 130 00:05:23,450 --> 00:05:21,270 but no advantage to the mythical but 131 00:05:25,040 --> 00:05:23,460 when the peptides keep growing and we 132 00:05:28,400 --> 00:05:25,050 have reached the step in the experiment 133 00:05:30,740 --> 00:05:28,410 to when they are long enough they they 134 00:05:32,780 --> 00:05:30,750 get the capability of stabilizing the 135 00:05:35,360 --> 00:05:32,790 vesicles and if they do that then we 136 00:05:37,760 --> 00:05:35,370 have a mutual advantage to the peptide 137 00:05:40,040 --> 00:05:37,770 as well as the vesicle and the vesicle 138 00:05:41,690 --> 00:05:40,050 will survive several generations at this 139 00:05:43,730 --> 00:05:41,700 point there will be even stronger 140 00:05:48,020 --> 00:05:43,740 selection or advantage for these 141 00:05:50,000 --> 00:05:48,030 peptides and we also have reached this 142 00:05:52,250 --> 00:05:50,010 step here the functional step where the 143 00:05:54,380 --> 00:05:52,260 peptides start to affect for example 144 00:05:56,480 --> 00:05:54,390 permeability when the peptides have been 145 00:05:58,310 --> 00:05:56,490 formed we have a strong concentration 146 00:06:00,830 --> 00:05:58,320 gradient and this concentration gradient 147 00:06:02,960 --> 00:06:00,840 causes osmotic pressure and this 148 00:06:05,270 --> 00:06:02,970 shortens the lifetime of vesicles 149 00:06:07,760 --> 00:06:05,280 so by opening these channels many 150 00:06:09,560 --> 00:06:07,770 peptides are capable of doing that we 151 00:06:12,560 --> 00:06:09,570 all give them a chance to equilibrate 152 00:06:16,370 --> 00:06:12,570 this concentration and to release this 153 00:06:18,920 --> 00:06:16,380 pressure okay take the whole thing 154 00:06:20,720 --> 00:06:18,930 together we have the pool of peptides 155 00:06:23,480 --> 00:06:20,730 which is basically like a box of Lego's 156 00:06:26,330 --> 00:06:23,490 we are shaking and expecting random 157 00:06:28,820 --> 00:06:26,340 structures to form so there's no 158 00:06:30,650 --> 00:06:28,830 specific in that way but they're also 159 00:06:34,370 --> 00:06:30,660 the vesicles the vesicles pick out 160 00:06:36,770 --> 00:06:34,380 certain peptides and by being selected 161 00:06:38,990 --> 00:06:36,780 all the time for this with stability we 162 00:06:41,280 --> 00:06:39,000 will get more stable vesicles they will 163 00:06:45,040 --> 00:06:41,290 get bitter 164 00:06:48,790 --> 00:06:45,050 selecting a specimen and they were also 165 00:06:50,830 --> 00:06:48,800 developed functions so I think based on 166 00:06:53,290 --> 00:06:50,840 that we can say that we have some sort 167 00:06:56,050 --> 00:06:53,300 of a molecular or structural evolution 168 00:06:59,770 --> 00:06:56,060 which is based purely on accumulation 169 00:07:01,540 --> 00:06:59,780 and selection processes of course we 170 00:07:04,510 --> 00:07:01,550 have tried to do that in an experiment 171 00:07:07,000 --> 00:07:04,520 we have non experiment running which 172 00:07:08,980 --> 00:07:07,010 goes over three weeks which means 1000 173 00:07:11,980 --> 00:07:08,990 and 500 generations of vesicles 174 00:07:13,780 --> 00:07:11,990 let me start collecting peptides it's 175 00:07:16,180 --> 00:07:13,790 hundreds of peptides I just picked out a 176 00:07:19,510 --> 00:07:16,190 few ones but what's very common to these 177 00:07:21,730 --> 00:07:19,520 peptides is a positively charged lysine 178 00:07:24,510 --> 00:07:21,740 group in the head and more or less 179 00:07:27,909 --> 00:07:24,520 hydrophobic groups at the end side and 180 00:07:31,540 --> 00:07:27,919 these peptides of course n'e amphiphilic 181 00:07:33,310 --> 00:07:31,550 and will collect in the membrane one of 182 00:07:35,830 --> 00:07:33,320 the early specimen that we got was this 183 00:07:38,440 --> 00:07:35,840 peptide and this peptide we checked for 184 00:07:41,230 --> 00:07:38,450 its we checked out what the reason was 185 00:07:44,250 --> 00:07:41,240 why this peptide was being selected so 186 00:07:47,230 --> 00:07:44,260 we had this peptide synthesized 187 00:07:49,870 --> 00:07:47,240 commercial synthesis and added it to 188 00:07:52,450 --> 00:07:49,880 vesicles and we found three effects we 189 00:07:55,990 --> 00:07:52,460 found first that the size of the 190 00:07:59,590 --> 00:07:56,000 vesicles was reduced by approximately 50 191 00:08:02,170 --> 00:07:59,600 percent we found that the vesicle 192 00:08:04,870 --> 00:08:02,180 permeability was increased by 90 percent 193 00:08:06,640 --> 00:08:04,880 and we found that the peptide increased 194 00:08:09,250 --> 00:08:06,650 the physical stability thermal 195 00:08:11,620 --> 00:08:09,260 instability by a factor of 6 so the half 196 00:08:14,500 --> 00:08:11,630 dive time was increased by a factor of 6 197 00:08:17,020 --> 00:08:14,510 we believe that all these changes are 198 00:08:18,880 --> 00:08:17,030 mechanisms of survival so survival 199 00:08:21,280 --> 00:08:18,890 strategies of the vesicle so to speak 200 00:08:24,010 --> 00:08:21,290 with the last one it's obvious since by 201 00:08:26,500 --> 00:08:24,020 increasing the terminal now instability 202 00:08:29,230 --> 00:08:26,510 they live longer with a second one this 203 00:08:31,719 --> 00:08:29,240 means that the vesicle becomes capable 204 00:08:33,520 --> 00:08:31,729 of releasing osmotic pressure and with 205 00:08:36,219 --> 00:08:33,530 the first one we believe that the size 206 00:08:39,180 --> 00:08:36,229 effect means that smaller vesicles are 207 00:08:44,140 --> 00:08:39,190 more capable of surviving shear or 208 00:08:46,390 --> 00:08:44,150 uplink for example okay so now we 209 00:08:48,700 --> 00:08:46,400 believe that we are at this stage here 210 00:08:51,370 --> 00:08:48,710 now question is what comes next what 211 00:08:53,079 --> 00:08:51,380 will develop of course there's an end 212 00:08:54,040 --> 00:08:53,089 point here and this cannot go on forever 213 00:08:55,480 --> 00:08:54,050 at the 214 00:08:57,670 --> 00:08:55,490 point where the rate of selection is 215 00:09:00,040 --> 00:08:57,680 equal to the rate of degradation then 216 00:09:02,470 --> 00:09:00,050 everything will stop however there is a 217 00:09:04,150 --> 00:09:02,480 potential for a situation like that I 218 00:09:05,620 --> 00:09:04,160 told it in the beginning that there is a 219 00:09:07,390 --> 00:09:05,630 concentration gradient so this 220 00:09:09,760 --> 00:09:07,400 concentration gradient can be regarded 221 00:09:12,760 --> 00:09:09,770 as a source of free energies like a 222 00:09:14,590 --> 00:09:12,770 loaded battery so maybe it's assumed 223 00:09:16,600 --> 00:09:14,600 that the molecules passing through these 224 00:09:19,180 --> 00:09:16,610 channels could induce something like a 225 00:09:21,250 --> 00:09:19,190 high energy conformation to the peptide 226 00:09:25,630 --> 00:09:21,260 and this could be the starting point or 227 00:09:27,430 --> 00:09:25,640 something like a very primitive energy 228 00:09:29,770 --> 00:09:27,440 metabolism of some kind so this is 229 00:09:31,570 --> 00:09:29,780 something we had for right now and this 230 00:09:33,730 --> 00:09:31,580 is something which we want to follow in 231 00:09:35,770 --> 00:09:33,740 the experiment which are being done in 232 00:09:37,900 --> 00:09:35,780 the future ok at this point I want to 233 00:10:28,270 --> 00:09:37,910 leave this as a summary and I thank you 234 00:10:30,880 --> 00:10:28,280 for that's right I have to mention one 235 00:10:32,920 --> 00:10:30,890 thing we need to run this experiment in 236 00:10:34,600 --> 00:10:32,930 a way but it's kind of reproducible 237 00:10:36,070 --> 00:10:34,610 these specimens which have shown right 238 00:10:39,580 --> 00:10:36,080 now and all these changes which are 239 00:10:41,380 --> 00:10:39,590 shown right now one time experiments so 240 00:10:43,300 --> 00:10:41,390 what we need to do is we need to repeat 241 00:10:45,430 --> 00:10:43,310 and repeat this experiment we need to 242 00:10:47,980 --> 00:10:45,440 find which of these changes in which of 243 00:10:52,870 --> 00:10:50,340 progress is that we see here is really 244 00:10:55,870 --> 00:10:52,880 reproducible so I agree with you it 245 00:10:57,670 --> 00:10:55,880 would be already a success but of course 246 00:10:59,019 --> 00:10:57,680 we are curious what will happen right 247 00:11:02,800 --> 00:10:59,029 now we run the experiment for three 248 00:11:04,810 --> 00:11:02,810 weeks and that means 1500 generations of 249 00:11:07,030 --> 00:11:04,820 vesicles we could extend this to three 250 00:11:09,280 --> 00:11:07,040 months and have four times as many 251 00:11:11,829 --> 00:11:09,290 generations and of course we still 252 00:11:13,870 --> 00:11:11,839 expect a growth we can still see now 253 00:11:16,480 --> 00:11:13,880 they've had tides growing to lengths 254 00:11:18,490 --> 00:11:16,490 between ten and fourteen something like 255 00:11:22,570 --> 00:11:18,500 that and of course by that we would 256 00:12:15,850 --> 00:11:22,580 expect something more sophisticated to 257 00:12:22,879 --> 00:12:21,050 right that's right exact it's something 258 00:12:25,129 --> 00:12:22,889 we do at the moment too we have for 259 00:12:27,620 --> 00:12:25,139 example change the conditions like 260 00:12:29,360 --> 00:12:27,630 taking away the the vesicles after half 261 00:12:32,269 --> 00:12:29,370 of the experimental time I will talk 262 00:12:33,710 --> 00:12:32,279 about that on Wednesday it's a somewhat 263 00:12:36,680 --> 00:12:33,720 more in the detail on the experiment 264 00:12:38,420 --> 00:12:36,690 itself and we see some changes there we 265 00:12:40,670 --> 00:12:38,430 have a hard time to interpret them to be 266 00:12:42,590 --> 00:12:40,680 honest you see changes regarding we have 267 00:12:45,590 --> 00:12:42,600 a full list of peptides which we 268 00:12:47,420 --> 00:12:45,600 observed to develop and we see that they 269 00:12:49,699 --> 00:12:47,430 are significant but you cannot really 270 00:12:52,509 --> 00:12:49,709 interpret what that means but you are 271 00:12:54,980 --> 00:12:52,519 right some hidden information is in the 272 00:13:13,300 --> 00:12:54,990 collection of peptides which we obtained 273 00:13:18,800 --> 00:13:17,630 mm we worked with a long-chain fatty 274 00:13:22,400 --> 00:13:18,810 acid so it's 275 00:13:24,290 --> 00:13:22,410 akhtar Dacula decanoic acid soiree 276 00:13:25,519 --> 00:13:24,300 Octavia dick you'll I mean it's the 277 00:13:28,250 --> 00:13:25,529 mixture of these two 278 00:13:34,400 --> 00:13:28,260 that's the the membrane material so to 279 00:13:37,160 --> 00:13:34,410 speak yes we have strong hints that they 280 00:13:40,310 --> 00:13:37,170 are reaction in between the amphiphiles 281 00:13:42,139 --> 00:13:40,320 and the amino acids so far we have just 282 00:13:44,510 --> 00:13:42,149 ignored them but you're right they are 283 00:13:47,030 --> 00:13:44,520 there and they may take part in this 284 00:13:49,190 --> 00:13:47,040 game somehow so there may be mixed 285 00:13:51,290 --> 00:13:49,200 products in between the amphiphiles and 286 00:13:53,840 --> 00:13:51,300 the amino acids but we have not 287 00:13:55,880 --> 00:13:53,850 characterized them yet because we are 288 00:13:57,980 --> 00:13:55,890 still fighting the very complex 289 00:14:01,040 --> 00:13:57,990 analytical problem that we have to deal 290 00:14:03,370 --> 00:14:01,050 with with all these peptides thousands 291 00:14:06,050 --> 00:14:03,380 hundred thousands of peptides which form 292 00:14:09,680 --> 00:14:06,060 and which need to be sequenced which 293 00:14:11,510 --> 00:14:09,690 need to be identified so we have to do 294 00:14:17,449 --> 00:14:11,520 one step after the other but you're