1 00:00:00,790 --> 00:00:07,320 [Music] 2 00:00:11,470 --> 00:00:09,120 [Applause] 3 00:00:14,470 --> 00:00:11,480 thank you very much the organizers for 4 00:00:18,130 --> 00:00:14,480 the opportunity to speak tell you about 5 00:00:19,390 --> 00:00:18,140 some work that is ongoing so most of 6 00:00:20,620 --> 00:00:19,400 this stuff is not published but we're 7 00:00:23,819 --> 00:00:20,630 getting close so kind of getting excited 8 00:00:26,109 --> 00:00:23,829 I'll try and run you through some things 9 00:00:28,359 --> 00:00:26,119 so I think the main problem that we've 10 00:00:31,630 --> 00:00:28,369 struggled with in early evolution is 11 00:00:33,010 --> 00:00:31,640 that we used to be focusing on how can 12 00:00:35,979 --> 00:00:33,020 we take things like genomes and 13 00:00:37,450 --> 00:00:35,989 reconstruct ancestral States and the big 14 00:00:39,819 --> 00:00:37,460 problem that we've run up against is 15 00:00:41,620 --> 00:00:39,829 that now that we're awash with data the 16 00:00:49,060 --> 00:00:41,630 signal actually seems to be quite poor 17 00:00:51,880 --> 00:00:49,070 so oh sorry yeah so here's just one 18 00:00:54,640 --> 00:00:51,890 example from work that we've done which 19 00:00:57,640 --> 00:00:54,650 is it I threw this in because a lot of 20 00:00:59,680 --> 00:00:57,650 our NA stuff in the meeting but people 21 00:01:01,690 --> 00:00:59,690 have done the same thing for proteins as 22 00:01:04,299 --> 00:01:01,700 well basically what we did was we looked 23 00:01:06,969 --> 00:01:04,309 at the our fam database which is a big 24 00:01:09,039 --> 00:01:06,979 database with 15 million 15 hundred RNA 25 00:01:11,530 --> 00:01:09,049 families and asked well how many things 26 00:01:13,120 --> 00:01:11,540 appear in more than one domain and as 27 00:01:15,220 --> 00:01:13,130 you can see from this Venn diagram the 28 00:01:16,960 --> 00:01:15,230 numbers are very small when you look at 29 00:01:19,210 --> 00:01:16,970 what's actually there and likely to be 30 00:01:21,340 --> 00:01:19,220 conserved you know it's it's basically 31 00:01:22,930 --> 00:01:21,350 stuff associated with the ribosomes so 32 00:01:25,420 --> 00:01:22,940 we've obviously heard quite a bit about 33 00:01:28,719 --> 00:01:25,430 the ribosome and previous sessions and 34 00:01:30,100 --> 00:01:28,729 then our own ASP the tRNAs so this is 35 00:01:34,719 --> 00:01:30,110 sort of stuff you would you would be 36 00:01:35,770 --> 00:01:34,729 able to I think guess from without too 37 00:01:37,270 --> 00:01:35,780 much trouble there's a few other little 38 00:01:39,219 --> 00:01:37,280 details in there but the main point is 39 00:01:40,810 --> 00:01:39,229 that this very little signal there the 40 00:01:43,660 --> 00:01:40,820 signal is consistent with what people 41 00:01:47,350 --> 00:01:43,670 would get when they look at protein data 42 00:01:48,640 --> 00:01:47,360 in genomes but you know that's weaker 43 00:01:50,640 --> 00:01:48,650 sort of say well maybe we can think of 44 00:01:53,230 --> 00:01:50,650 better ways to do that or maybe we can 45 00:01:57,700 --> 00:01:53,240 rethink how we're doing stuff so if the 46 00:01:59,109 --> 00:01:57,710 signals limited what else can we do one 47 00:02:01,750 --> 00:01:59,119 of the things that people doing this is 48 00:02:03,789 --> 00:02:01,760 a little nice little paper of Aaron's is 49 00:02:05,620 --> 00:02:03,799 to look at modern stuff and say well 50 00:02:08,139 --> 00:02:05,630 some interesting analogies between 51 00:02:11,320 --> 00:02:08,149 modern biological systems and presumed 52 00:02:13,210 --> 00:02:11,330 ancient systems what we're trying to do 53 00:02:14,800 --> 00:02:13,220 is sort of say okay that's a great idea 54 00:02:18,280 --> 00:02:14,810 can we take that a little bit further 55 00:02:19,570 --> 00:02:18,290 and say do some experiments to try and 56 00:02:21,830 --> 00:02:19,580 retrace some of the steps towards 57 00:02:23,690 --> 00:02:21,840 evolution and modern systems but more 58 00:02:27,920 --> 00:02:23,700 biological perspective sort of coming 59 00:02:29,860 --> 00:02:27,930 top-down if you will so there's been a 60 00:02:33,800 --> 00:02:29,870 lot of really impressive high-tech 61 00:02:36,320 --> 00:02:33,810 presentations around methods I've seen 62 00:02:37,729 --> 00:02:36,330 some quite quite spectacular pieces of 63 00:02:40,250 --> 00:02:37,739 work and I just wanted to contribute our 64 00:02:43,880 --> 00:02:40,260 own high-tech approach to how we do this 65 00:02:45,880 --> 00:02:43,890 experiment so this is a school lunch box 66 00:02:48,740 --> 00:02:45,890 we used to pack in more and more 67 00:02:51,830 --> 00:02:48,750 multiple evolution experiments on top of 68 00:02:54,440 --> 00:02:51,840 one other so there you go there's all 69 00:02:56,150 --> 00:02:54,450 kinds of ways you can do astrobiology so 70 00:02:57,800 --> 00:02:56,160 some of the questions were trying to 71 00:03:00,470 --> 00:02:57,810 grapple with with our little lunch box 72 00:03:01,670 --> 00:03:00,480 setup are listed here and I don't have 73 00:03:03,860 --> 00:03:01,680 time to go through all of them but I 74 00:03:06,380 --> 00:03:03,870 will give you a brief overview so this 75 00:03:08,080 --> 00:03:06,390 one here instead of with understanding 76 00:03:10,160 --> 00:03:08,090 how bacterial translation initiation 77 00:03:12,170 --> 00:03:10,170 evolved and I'll talk about that one a 78 00:03:14,809 --> 00:03:12,180 little more this one I don't have time 79 00:03:16,580 --> 00:03:14,819 to talk about but I'm happy to talk to 80 00:03:18,470 --> 00:03:16,590 people about this so we've done a little 81 00:03:20,750 --> 00:03:18,480 experiment where we've applied a 82 00:03:24,289 --> 00:03:20,760 continual bottleneck to to see whether 83 00:03:26,930 --> 00:03:24,299 we get complex RNA processes and heavier 84 00:03:28,879 --> 00:03:26,940 check with that about that later on and 85 00:03:30,979 --> 00:03:28,889 then the final one is we're actually 86 00:03:32,930 --> 00:03:30,989 looking now at trying to understand how 87 00:03:35,300 --> 00:03:32,940 DNA might have evolved and I'll come 88 00:03:37,129 --> 00:03:35,310 back to that again at the end so for 89 00:03:39,410 --> 00:03:37,139 translation initiation one of the things 90 00:03:42,140 --> 00:03:39,420 that we we thought was puzzling as 91 00:03:44,599 --> 00:03:42,150 biologists is that bacteria use this 92 00:03:48,289 --> 00:03:44,609 formulation process so everybody charges 93 00:03:50,629 --> 00:03:48,299 their T RNAs so you get a charged tRNA 94 00:03:52,400 --> 00:03:50,639 so this is the initiator and then in 95 00:03:54,170 --> 00:03:52,410 bacteria you have a couple of extra 96 00:03:57,250 --> 00:03:54,180 steps that you don't find in our carrier 97 00:04:00,020 --> 00:03:57,260 you carrots the first one is edition of 98 00:04:02,240 --> 00:04:00,030 the Fulton group here through an enzyme 99 00:04:06,770 --> 00:04:02,250 called a formal transferase translation 100 00:04:09,229 --> 00:04:06,780 then proceeds but as the growing peptide 101 00:04:11,839 --> 00:04:09,239 comes out of the the ribosome exit so I 102 00:04:14,659 --> 00:04:11,849 another enzyme peptid formulae's comes 103 00:04:17,629 --> 00:04:14,669 along and what's that for mate group off 104 00:04:19,339 --> 00:04:17,639 again so this is before the proteins 105 00:04:21,110 --> 00:04:19,349 really had a chance to do anything so 106 00:04:23,930 --> 00:04:21,120 it's an odd thing that you add something 107 00:04:27,460 --> 00:04:23,940 and then remove it all prior to getting 108 00:04:29,810 --> 00:04:27,470 to a point of a functioning protein 109 00:04:32,600 --> 00:04:29,820 interestingly if you treat with a drug 110 00:04:34,850 --> 00:04:32,610 that knocks out production of 111 00:04:37,879 --> 00:04:34,860 this cofactor that's required for this 112 00:04:39,680 --> 00:04:37,889 reaction here you force cells to use the 113 00:04:44,360 --> 00:04:39,690 unmodified version here so a methanol 114 00:04:45,920 --> 00:04:44,370 tRNA you can also do knockouts which 115 00:04:47,719 --> 00:04:45,930 cells don't really like but they are 116 00:04:50,680 --> 00:04:47,729 viable where you eliminate both of these 117 00:04:53,029 --> 00:04:50,690 genes and you get the same thing 118 00:04:56,240 --> 00:04:53,039 proceeding in translation proceeding 119 00:04:59,960 --> 00:04:56,250 with a non modified version of society 120 00:05:02,600 --> 00:04:59,970 of confining and finally if we look 121 00:05:04,219 --> 00:05:02,610 across the Tree of Life this is a it's 122 00:05:06,020 --> 00:05:04,229 not a universal process you only see 123 00:05:09,350 --> 00:05:06,030 this in bacteria archaea and eukaryotes 124 00:05:11,230 --> 00:05:09,360 don't do this so we thought gee that 125 00:05:14,180 --> 00:05:11,240 looks a bit strange it sort of looks 126 00:05:15,860 --> 00:05:14,190 partly like it's not that important or 127 00:05:18,080 --> 00:05:15,870 necessary because only some parts of the 128 00:05:19,520 --> 00:05:18,090 tree use it and it's intriguing that you 129 00:05:21,800 --> 00:05:19,530 can knock something out that's being 130 00:05:24,469 --> 00:05:21,810 conserved within bacteria for possibly 131 00:05:26,839 --> 00:05:24,479 several billion years so we did an 132 00:05:29,689 --> 00:05:26,849 experiment to figure that out so what 133 00:05:32,990 --> 00:05:29,699 what Alanna rickety who's here and Ryan 134 00:05:34,760 --> 00:05:33,000 Catchpole did was to do a bunch of 135 00:05:36,189 --> 00:05:34,770 experiments and this is one of them here 136 00:05:40,580 --> 00:05:36,199 so what we're doing is we're evolving 137 00:05:42,140 --> 00:05:40,590 two lines over about 1500 generations so 138 00:05:44,719 --> 00:05:42,150 this blue line here is just a wild-type 139 00:05:46,550 --> 00:05:44,729 control and this gray one here is a 140 00:05:48,770 --> 00:05:46,560 knockout where we've eliminated both of 141 00:05:50,719 --> 00:05:48,780 those genes required for formulation and 142 00:05:52,459 --> 00:05:50,729 you can see that after about fifteen 143 00:05:56,029 --> 00:05:52,469 hundred generations their their growth 144 00:05:58,610 --> 00:05:56,039 is indistinguishable so it seems that 145 00:06:01,850 --> 00:05:58,620 you can be a bacterium quite happily 146 00:06:03,589 --> 00:06:01,860 without this process the thing that we 147 00:06:05,270 --> 00:06:03,599 thought was quite unusual about this is 148 00:06:07,580 --> 00:06:05,280 that the addition and removal looks a 149 00:06:09,110 --> 00:06:07,590 little bit like a toxin antitoxin system 150 00:06:10,610 --> 00:06:09,120 so I don't know if you guys are familiar 151 00:06:13,249 --> 00:06:10,620 with these idea they're sort of 152 00:06:14,510 --> 00:06:13,259 addiction systems so given what I know a 153 00:06:16,370 --> 00:06:14,520 lot of time I'll walk you through the 154 00:06:17,930 --> 00:06:16,380 experiment that we did to test this at 155 00:06:21,320 --> 00:06:17,940 the same time as explaining what they 156 00:06:23,029 --> 00:06:21,330 are so we think it's it this may this 157 00:06:25,490 --> 00:06:23,039 could have evolved originally virus 158 00:06:27,230 --> 00:06:25,500 elfish element so let's do this 159 00:06:30,950 --> 00:06:27,240 experiment here let's reintroduce those 160 00:06:34,040 --> 00:06:30,960 D D formulas informal formulas genes 161 00:06:35,330 --> 00:06:34,050 back into these evolved lines and so the 162 00:06:38,379 --> 00:06:35,340 way we do that is to put them onto a 163 00:06:41,390 --> 00:06:38,389 plasmid if you put a plasmid into a cell 164 00:06:44,980 --> 00:06:41,400 without any any kind of selection marker 165 00:06:46,780 --> 00:06:44,990 or whatever it will sometimes mistake 166 00:06:48,520 --> 00:06:46,790 and you can have individuals that lose 167 00:06:50,800 --> 00:06:48,530 the plasmid but they're not affected by 168 00:06:53,230 --> 00:06:50,810 that in our experiment what we've done 169 00:06:55,330 --> 00:06:53,240 is we forced the plasmid up by using a 170 00:06:57,220 --> 00:06:55,340 temperature sensitive one so we kick it 171 00:06:58,870 --> 00:06:57,230 out and what you see here is two 172 00:07:00,580 --> 00:06:58,880 different lines so these two one of 173 00:07:02,740 --> 00:07:00,590 these as colony forming units and the 174 00:07:04,810 --> 00:07:02,750 other is optical density so two ways of 175 00:07:07,240 --> 00:07:04,820 measuring growth and you can see this is 176 00:07:08,770 --> 00:07:07,250 the plasmid occupancy you can see the 177 00:07:10,900 --> 00:07:08,780 plasmid it gets kicked out pretty 178 00:07:14,200 --> 00:07:10,910 quickly but it has no effect on growth 179 00:07:16,420 --> 00:07:14,210 if we take a known toxin antitoxin 180 00:07:18,880 --> 00:07:16,430 system and do the same experiment so we 181 00:07:22,000 --> 00:07:18,890 take the exact same plasmid put a toxin 182 00:07:23,770 --> 00:07:22,010 antitoxin system on it and then force a 183 00:07:25,630 --> 00:07:23,780 kick out we get a very different curve 184 00:07:27,570 --> 00:07:25,640 here so there are two things that are 185 00:07:30,070 --> 00:07:27,580 that are happening here 186 00:07:32,230 --> 00:07:30,080 one is the plasmid is getting kicked out 187 00:07:35,320 --> 00:07:32,240 but the second is that both the 188 00:07:36,880 --> 00:07:35,330 measurements of growth are showing a 189 00:07:39,340 --> 00:07:36,890 reduction in growth and so what's 190 00:07:41,260 --> 00:07:39,350 happening in this system here is that 191 00:07:43,540 --> 00:07:41,270 when you get a knockout of the loss of 192 00:07:45,100 --> 00:07:43,550 the the plasmid you get cell this and 193 00:07:47,620 --> 00:07:45,110 this is sort of the cleverness of these 194 00:07:50,560 --> 00:07:47,630 addiction systems basically the way they 195 00:07:52,900 --> 00:07:50,570 work is if you get rid of one gene that 196 00:07:55,930 --> 00:07:52,910 is you're effectively your antidote to 197 00:07:58,150 --> 00:07:55,940 the toxin and both of these are carried 198 00:08:00,060 --> 00:07:58,160 here then you can no longer protect 199 00:08:03,930 --> 00:08:00,070 yourself against the toxin and you die 200 00:08:07,330 --> 00:08:03,940 so we did the same exact same experiment 201 00:08:08,890 --> 00:08:07,340 reintroducing our two genes the 202 00:08:12,010 --> 00:08:08,900 formulation the and the methyl 203 00:08:13,390 --> 00:08:12,020 transferase back on a plasmid and if we 204 00:08:15,100 --> 00:08:13,400 get this kind of result then we would 205 00:08:16,990 --> 00:08:15,110 say there's no sort of selfish element 206 00:08:20,350 --> 00:08:17,000 activity if we get this kind of result 207 00:08:22,480 --> 00:08:20,360 it would be consistent with this post 208 00:08:25,360 --> 00:08:22,490 segregation of killing phenotype 209 00:08:27,280 --> 00:08:25,370 and here's the result so we think that's 210 00:08:31,240 --> 00:08:27,290 pretty clear that once you've removed 211 00:08:33,460 --> 00:08:31,250 these two genes from this lineage and 212 00:08:35,290 --> 00:08:33,470 evolved them to sort of tolerate not 213 00:08:36,910 --> 00:08:35,300 having them and you put them back in you 214 00:08:41,460 --> 00:08:36,920 don't get sort of a complementation 215 00:08:44,410 --> 00:08:41,470 phenotype you get an addiction phenotype 216 00:08:46,330 --> 00:08:44,420 so what we think is is happening then is 217 00:08:47,620 --> 00:08:46,340 that these things are functional now and 218 00:08:49,270 --> 00:08:47,630 it's a you could I give everything's 219 00:08:51,670 --> 00:08:49,280 co-evolved you kind of need them because 220 00:08:53,620 --> 00:08:51,680 they're there but it's not obvious to us 221 00:08:55,180 --> 00:08:53,630 that this is particularly adaptive and 222 00:08:56,770 --> 00:08:55,190 there's two reasons for that one is we 223 00:08:58,420 --> 00:08:56,780 can get rid of it with no effect on 224 00:09:00,640 --> 00:08:58,430 growth after we 225 00:09:02,230 --> 00:09:00,650 sort of readapted that lineages the 226 00:09:05,079 --> 00:09:02,240 other two lineages are care and 227 00:09:06,700 --> 00:09:05,089 eukaryotes don't use this so it seems 228 00:09:08,500 --> 00:09:06,710 that this there may not be an adaptive 229 00:09:12,670 --> 00:09:08,510 function what we think might instead 230 00:09:16,540 --> 00:09:12,680 have happened is that this parasite got 231 00:09:18,130 --> 00:09:16,550 in and ensconced itself in translation 232 00:09:20,079 --> 00:09:18,140 and then the whole system is sort of 233 00:09:21,610 --> 00:09:20,089 co-evolved around that and once that's 234 00:09:23,050 --> 00:09:21,620 done that you can't actually get rid of 235 00:09:28,810 --> 00:09:23,060 it but not for reasons if it being 236 00:09:32,920 --> 00:09:28,820 advantageous okay so the second thing 237 00:09:37,450 --> 00:09:32,930 just how am I going for timer a little 238 00:09:39,850 --> 00:09:37,460 bit of time okay cool so I just used the 239 00:09:41,950 --> 00:09:39,860 last couple of slides just to tell you 240 00:09:44,829 --> 00:09:41,960 some stuff that's much earlier on in the 241 00:09:47,440 --> 00:09:44,839 process we're interested in this pathway 242 00:09:49,570 --> 00:09:47,450 here this shows how the DNA building 243 00:09:50,829 --> 00:09:49,580 blocks are made in all cells so 244 00:09:52,750 --> 00:09:50,839 basically what happens is you get the 245 00:09:55,360 --> 00:09:52,760 RNA building blocks here an enzyme 246 00:09:59,579 --> 00:09:55,370 called ribonucleotide reductase performs 247 00:10:02,320 --> 00:09:59,589 a reaction to convert these into deoxy 248 00:10:05,710 --> 00:10:02,330 ribose nucleotides but as you can see if 249 00:10:07,420 --> 00:10:05,720 you start from you your fourth deoxy is 250 00:10:11,920 --> 00:10:07,430 going to be a DLC you and there's a 251 00:10:15,850 --> 00:10:11,930 bolt-on pathway here to get to T so some 252 00:10:18,430 --> 00:10:15,860 of you may hopefully have seen a poster 253 00:10:21,579 --> 00:10:18,440 by Alana rickety but if you haven't 254 00:10:23,710 --> 00:10:21,589 please come take a look at it she's been 255 00:10:25,810 --> 00:10:23,720 addressing this these two questions here 256 00:10:27,970 --> 00:10:25,820 one can we delete these steps the answer 257 00:10:31,570 --> 00:10:27,980 is yes you can so she now has lines 258 00:10:35,079 --> 00:10:31,580 growing that don't do any of these steps 259 00:10:36,430 --> 00:10:35,089 here so they should stop at deoxy U and 260 00:10:40,570 --> 00:10:36,440 then what we've been doing is trying to 261 00:10:44,470 --> 00:10:40,580 get them to adapt to the absence of this 262 00:10:47,740 --> 00:10:44,480 pathway by supplementing them with the 263 00:10:50,380 --> 00:10:47,750 oxy T in the medium but then ratcheting 264 00:10:51,940 --> 00:10:50,390 down the amount that they have and so it 265 00:10:53,800 --> 00:10:51,950 still early days but she now has them 266 00:10:55,930 --> 00:10:53,810 growing without supplement whatsoever so 267 00:10:58,360 --> 00:10:55,940 our next question will be sort of what's 268 00:11:01,030 --> 00:10:58,370 happening there at the genome level is 269 00:11:03,310 --> 00:11:01,040 your asil accumulating we've also gone 270 00:11:04,510 --> 00:11:03,320 after arriving nucleotide reduction and 271 00:11:07,360 --> 00:11:04,520 I'll just show you some very preliminary 272 00:11:09,670 --> 00:11:07,370 results on that so question we we sort 273 00:11:11,800 --> 00:11:09,680 of had is can we eliminate this pathway 274 00:11:14,730 --> 00:11:11,810 turns out we can do a knock out of that 275 00:11:17,439 --> 00:11:14,740 and you have to supplement with the four 276 00:11:20,590 --> 00:11:17,449 deoxyribonucleotides for this cell line 277 00:11:22,300 --> 00:11:20,600 to survive so two people were being 278 00:11:24,329 --> 00:11:22,310 working on this analysis if I ever form 279 00:11:26,559 --> 00:11:24,339 an honor student and Sam heiress who's 280 00:11:28,179 --> 00:11:26,569 in the lab is the technician at the 281 00:11:30,160 --> 00:11:28,189 moment but it's probably more postdoc 282 00:11:32,139 --> 00:11:30,170 than a technician and what you can see 283 00:11:35,379 --> 00:11:32,149 is over about eight transfers that we've 284 00:11:37,090 --> 00:11:35,389 done so far we see a tenfold reduction 285 00:11:40,480 --> 00:11:37,100 in the dependency so this is sort of 286 00:11:42,759 --> 00:11:40,490 minimum concentration that these eco 287 00:11:43,990 --> 00:11:42,769 lice can survive on in terms of 288 00:11:46,179 --> 00:11:44,000 supplements so they're in a minimal 289 00:11:48,910 --> 00:11:46,189 media with a little bit of glucose and 290 00:11:51,400 --> 00:11:48,920 then a supplement of deoxyribonucleoside 291 00:11:52,990 --> 00:11:51,410 so they're clearly adapting to that this 292 00:11:55,660 --> 00:11:53,000 may be tricky to see but while here's 293 00:11:57,429 --> 00:11:55,670 some wild type e.coli and what we get is 294 00:12:00,249 --> 00:11:57,439 a very interesting sort of elongate 295 00:12:02,470 --> 00:12:00,259 stress morphology in these bacteria so 296 00:12:05,170 --> 00:12:02,480 this is a transfer one you can see that 297 00:12:07,269 --> 00:12:05,180 these Ecola much much longer than in the 298 00:12:10,119 --> 00:12:07,279 wild-type and some of these are you know 299 00:12:12,220 --> 00:12:10,129 ridiculously long by about transfer six 300 00:12:14,590 --> 00:12:12,230 other sort of some of them may be I 301 00:12:17,860 --> 00:12:14,600 think thirty to forty micrometers so 302 00:12:19,749 --> 00:12:17,870 they're huge not very heavy anyway so 303 00:12:21,009 --> 00:12:19,759 we're still working on that and of 304 00:12:23,199 --> 00:12:21,019 course one of the challenges is whether 305 00:12:27,120 --> 00:12:23,209 we we actually need to eliminate this 306 00:12:29,949 --> 00:12:27,130 before we we can get complete loss of 307 00:12:33,400 --> 00:12:29,959 dependency on this pathway here so I 308 00:12:34,540 --> 00:12:33,410 leave you with that teaser and just make 309 00:12:36,340 --> 00:12:34,550 some acknowledgments that are people to 310 00:12:37,870 --> 00:12:36,350 do the work and obviously if you ever 311 00:12:40,179 --> 00:12:37,880 want to do any research involving 312 00:12:42,309 --> 00:12:40,189 lunchboxes I can highly recommend this 313 00:12:43,600 --> 00:12:42,319 New Zealand company here that makes it's 314 00:13:16,180 --> 00:12:43,610 probably the world's best Google lunch 315 00:13:16,190 --> 00:13:30,389 [Music] 316 00:13:34,930 --> 00:13:33,150 yeah I mean we've done a bunch of other 317 00:13:36,400 --> 00:13:34,940 experiments which I didn't have time to 318 00:13:38,259 --> 00:13:36,410 present but you know we've knocked them 319 00:13:39,699 --> 00:13:38,269 into the genome and looked at whether 320 00:13:42,910 --> 00:13:39,709 there's a fitness improvement there 321 00:13:44,530 --> 00:13:42,920 isn't we we noticed that they become 322 00:13:48,939 --> 00:13:44,540 very very difficult to knock out as soon 323 00:13:51,400 --> 00:13:48,949 as you've got them in we yes we've also 324 00:13:52,120 --> 00:13:51,410 sort of evolved the the knock in lines 325 00:13:54,430 --> 00:13:52,130 again 326 00:13:56,530 --> 00:13:54,440 to see whether the system rear depth and 327 00:13:59,620 --> 00:13:56,540 it becomes very difficult to remove them 328 00:14:06,309 --> 00:13:59,630 and we definitely see that so this is a 329 00:14:08,650 --> 00:14:06,319 bunch of other data for sure okay thank 330 00:14:10,020 --> 00:14:08,660 you and so we have to move to our next 331 00:14:12,490 --> 00:14:10,030 speaker sync thanks again