1 00:00:00,260 --> 00:00:11,590 [Music] 2 00:00:18,080 --> 00:00:16,070 my name is Jose I am a PhD student of 3 00:00:21,589 --> 00:00:18,090 Biological Sciences at the National 4 00:00:24,710 --> 00:00:21,599 Autonomous University of Mexico I am 5 00:00:26,720 --> 00:00:24,720 working at the Antonio Latinos lab we we 6 00:00:31,760 --> 00:00:26,730 call him Domino's headmaster there in 7 00:00:35,540 --> 00:00:31,770 Latin means my Lord and Master and my 8 00:00:39,259 --> 00:00:35,550 advisor is Arturo visera a well the 9 00:00:41,150 --> 00:00:39,269 three of us wanted to make a new kind of 10 00:00:44,569 --> 00:00:41,160 research in the lab because viruses were 11 00:00:47,209 --> 00:00:44,579 forgotten in the early stages of the 12 00:00:51,500 --> 00:00:47,219 history of life so that is why I started 13 00:00:54,740 --> 00:00:51,510 this with with them this is a new kind 14 00:00:56,660 --> 00:00:54,750 of richer's research that we call the 15 00:01:03,139 --> 00:00:56,670 viruses maybe ancient but not but not 16 00:01:06,610 --> 00:01:03,149 primitive so as we know that a viruses 17 00:01:09,460 --> 00:01:06,620 are a biological entities that 18 00:01:13,820 --> 00:01:09,470 infectious biological entities that need 19 00:01:16,910 --> 00:01:13,830 ribosomal system of like a cell so that 20 00:01:21,670 --> 00:01:16,920 they can be they can replicate they can 21 00:01:24,530 --> 00:01:21,680 replicate their own viral proteins so 22 00:01:28,460 --> 00:01:24,540 there is like we have an estimation like 23 00:01:32,060 --> 00:01:28,470 ten to thirty one viral particles there 24 00:01:35,840 --> 00:01:32,070 are on the earth of numbering all forms 25 00:01:39,680 --> 00:01:35,850 of life how do they do do that how they 26 00:01:41,930 --> 00:01:39,690 are why are they so sexual that's 27 00:01:44,060 --> 00:01:41,940 because they have this kind of 28 00:01:47,530 --> 00:01:44,070 characteristics as you can see they are 29 00:01:52,940 --> 00:01:47,540 a we divided well biologists divide a 30 00:01:55,850 --> 00:01:52,950 viruses like RNA and DNA they are based 31 00:01:57,440 --> 00:01:55,860 in their own the genome of viruses for 32 00:01:59,300 --> 00:01:57,450 example RNA viruses have these 33 00:02:02,690 --> 00:01:59,310 characteristics like they have a high 34 00:02:05,720 --> 00:02:02,700 mutation rate for example 10 to minus 3 35 00:02:08,389 --> 00:02:05,730 nucleotides per replication but also 36 00:02:09,080 --> 00:02:08,399 they have a small genome size like 3 5 37 00:02:13,910 --> 00:02:09,090 nucleotides 38 00:02:17,430 --> 00:02:13,920 a35 kill 35,000 kind of a spares the 39 00:02:20,520 --> 00:02:17,440 these RNA viruses have population 40 00:02:24,150 --> 00:02:20,530 bigger bigger populations but also they 41 00:02:26,730 --> 00:02:24,160 have little a lateral gene transfer they 42 00:02:31,320 --> 00:02:26,740 have a deemed application but there is 43 00:02:33,690 --> 00:02:31,330 very little RNA viruses overlaps their 44 00:02:37,710 --> 00:02:33,700 own genes because they have they want to 45 00:02:41,130 --> 00:02:37,720 well they they need they have dissonant 46 00:02:44,100 --> 00:02:41,140 city of economized a the genome for that 47 00:02:48,050 --> 00:02:44,110 is why they are very very short but they 48 00:02:50,160 --> 00:02:48,060 they often have little recombination and 49 00:02:53,970 --> 00:02:50,170 practically the single-stranded DNA 50 00:02:55,770 --> 00:02:53,980 viruses behave like RNA viruses so and 51 00:03:01,410 --> 00:02:55,780 the double-stranded DNA viruses have the 52 00:03:04,200 --> 00:03:01,420 opposite cracked right so RNA viruses so 53 00:03:05,660 --> 00:03:04,210 but where do my roses fit in the in the 54 00:03:08,970 --> 00:03:05,670 Tree of Life 55 00:03:12,330 --> 00:03:08,980 well a you know that a dynamic 56 00:03:15,960 --> 00:03:12,340 comparative genomics has allowed to 57 00:03:21,240 --> 00:03:15,970 trace the history of all organisms like 58 00:03:24,900 --> 00:03:21,250 bacteria or Korea and archaea so that we 59 00:03:27,360 --> 00:03:24,910 can infer a hypothetical entity that we 60 00:03:31,430 --> 00:03:27,370 call it the last common ancestor the res 61 00:03:37,229 --> 00:03:31,440 ancestor of this three domains of life 62 00:03:45,570 --> 00:03:37,239 and we we we do this phylogeny is based 63 00:03:49,949 --> 00:03:45,580 on a RNA genes and also RNA protein RNA 64 00:03:54,330 --> 00:03:49,959 processing proteins but what happened 65 00:03:58,080 --> 00:03:54,340 with the with viruses so they a there 66 00:04:00,930 --> 00:03:58,090 are many hypotheses that place these 67 00:04:04,440 --> 00:04:00,940 viruses in the very early stages of life 68 00:04:08,610 --> 00:04:04,450 other hypotheses a put it put them here 69 00:04:10,800 --> 00:04:08,620 here here or here so then we have many 70 00:04:14,520 --> 00:04:10,810 may what were not many hypotheses we 71 00:04:16,590 --> 00:04:14,530 have just three hypotheses and we can 72 00:04:19,310 --> 00:04:16,600 subdivide it but that's another topic 73 00:04:22,920 --> 00:04:19,320 so where do biases come from we have 74 00:04:24,540 --> 00:04:22,930 first hypothesis that we call the virus 75 00:04:28,710 --> 00:04:24,550 first hypothesis or the primordial 76 00:04:30,140 --> 00:04:28,720 hypothesis you can see that since 1917 77 00:04:35,650 --> 00:04:30,150 when they a 78 00:04:40,760 --> 00:04:35,660 the guy that a discover a bacteriophage 79 00:04:46,700 --> 00:04:40,770 it tried to guess how viruses originated 80 00:04:49,970 --> 00:04:46,710 so 100 years since 100 years we haven't 81 00:04:54,770 --> 00:04:49,980 found the how the way how they how 82 00:04:57,290 --> 00:04:54,780 viruses originate so you can see another 83 00:04:58,990 --> 00:04:57,300 a hypothesis like a virus or descendant 84 00:05:03,920 --> 00:04:59,000 of parasitic cells 85 00:05:09,160 --> 00:05:03,930 like in 1935 agreement and night in 1938 86 00:05:12,050 --> 00:05:09,170 Laidlaw say that maybe ad viruses have 87 00:05:15,290 --> 00:05:12,060 cellular ancestor that was losing some 88 00:05:17,480 --> 00:05:15,300 some genes so they become in a policy in 89 00:05:20,210 --> 00:05:17,490 the parasitic entities that we know 90 00:05:22,100 --> 00:05:20,220 today another hypothesis about viruses 91 00:05:27,110 --> 00:05:22,110 that viruses the same for an escaped 92 00:05:32,060 --> 00:05:27,120 escaped genes a brunette in 1944 said 93 00:05:36,110 --> 00:05:32,070 that maybe this viruses can a porn 94 00:05:42,140 --> 00:05:36,120 because of the genes were escaping from 95 00:05:45,230 --> 00:05:42,150 from cos genomes and today in 2006 they 96 00:05:49,640 --> 00:05:45,240 still supported this these hypotheses so 97 00:05:54,880 --> 00:05:49,650 but theory of Ages came from a bacterial 98 00:05:57,800 --> 00:05:54,890 eukaryotic viruses came from eukaryotes 99 00:06:00,410 --> 00:05:57,810 so for example in this in the case of 100 00:06:02,870 --> 00:06:00,420 the promoter hypothesis a Kooning and 101 00:06:07,190 --> 00:06:02,880 collaborators say that maybe these 102 00:06:09,770 --> 00:06:07,200 viruses I have a foreign ancient virus 103 00:06:13,250 --> 00:06:09,780 world I mean before the original of 104 00:06:14,630 --> 00:06:13,260 cells so if they put they place for 105 00:06:17,930 --> 00:06:14,640 example there are any viruses that 106 00:06:21,740 --> 00:06:17,940 because they have a small genome also 107 00:06:24,680 --> 00:06:21,750 they are formed for a big half an RNA in 108 00:06:27,860 --> 00:06:24,690 engage into their genomes they say that 109 00:06:30,940 --> 00:06:27,870 maybe they are in the in they put them 110 00:06:33,470 --> 00:06:30,950 in the RNA protein world and 111 00:06:35,750 --> 00:06:33,480 retroviruses maybe they say that these 112 00:06:38,510 --> 00:06:35,760 are entities that have a transition 113 00:06:41,000 --> 00:06:38,520 between this RNA world today a DNA RNA 114 00:06:43,850 --> 00:06:41,010 protein world and then later 115 00:06:47,270 --> 00:06:43,860 the DNA viruses or or innate different 116 00:06:49,850 --> 00:06:47,280 from this DNA RNA protein world and they 117 00:06:53,170 --> 00:06:49,860 they also say that maybe these all 118 00:06:57,050 --> 00:06:53,180 viruses are the inventors of cells so 119 00:06:59,030 --> 00:06:57,060 there is the primordial hypothesis the 120 00:07:03,970 --> 00:06:59,040 other hypothesis the reduction 121 00:07:06,680 --> 00:07:03,980 hypothesis they say that this a there is 122 00:07:09,740 --> 00:07:06,690 ancestor cells the last common ancestor 123 00:07:12,140 --> 00:07:09,750 there were a loose in this this gene and 124 00:07:14,900 --> 00:07:12,150 there is an example mega viruses were 125 00:07:17,960 --> 00:07:14,910 discovered in 2001 these are the 126 00:07:23,930 --> 00:07:17,970 monsters of of biology because they they 127 00:07:27,830 --> 00:07:23,940 can they can have like two 200 by 2500 128 00:07:31,610 --> 00:07:27,840 genes you imagine that so this this mega 129 00:07:33,860 --> 00:07:31,620 viruses also have a eight important 130 00:07:37,430 --> 00:07:33,870 genes that are very conserved and these 131 00:07:40,310 --> 00:07:37,440 genes a intervene in the DNA processing 132 00:07:44,090 --> 00:07:40,320 DNA synthesis like for example RNA 133 00:07:49,010 --> 00:07:44,100 polymerase DNA polymerase trna 134 00:07:55,580 --> 00:07:49,020 synthetases a Romano claw tied a ribbon 135 00:08:01,670 --> 00:07:55,590 occupied a driven Oh clatter reductases 136 00:08:05,450 --> 00:08:01,680 a and that is why they say okay these 137 00:08:07,910 --> 00:08:05,460 proteins are also in in cells and they 138 00:08:13,010 --> 00:08:07,920 intervene in this a DNA synthesis so 139 00:08:16,550 --> 00:08:13,020 they may be these viruses come from in 140 00:08:19,580 --> 00:08:16,560 another domain like if they call the for 141 00:08:23,030 --> 00:08:19,590 domain of life so viruses were alive 142 00:08:26,960 --> 00:08:23,040 once but so that is why they put it in 143 00:08:29,240 --> 00:08:26,970 the in the tree of life so the other 144 00:08:33,320 --> 00:08:29,250 hypothesis says as I told you that they 145 00:08:36,580 --> 00:08:33,330 this genes are escaping from their own 146 00:08:40,430 --> 00:08:36,590 host so but they came from this 147 00:08:44,390 --> 00:08:40,440 hypothesis said they come a later after 148 00:08:46,820 --> 00:08:44,400 the original of cells so that is why we 149 00:08:50,270 --> 00:08:46,830 in the in the laboratory tried to obtain 150 00:08:52,520 --> 00:08:50,280 to get all the information all the early 151 00:08:55,410 --> 00:08:52,530 biological information for all databases 152 00:08:58,169 --> 00:08:55,420 of viruses like for example Jim Bank 153 00:09:01,169 --> 00:08:58,179 vayas on the international committee on 154 00:09:02,929 --> 00:09:01,179 taxonomy we get all if not not only 155 00:09:05,639 --> 00:09:02,939 biological information but also 156 00:09:08,970 --> 00:09:05,649 structural information a sequential 157 00:09:11,069 --> 00:09:08,980 information ecological information all 158 00:09:13,619 --> 00:09:11,079 of all of that week we got all that all 159 00:09:16,410 --> 00:09:13,629 those databases I want to say that in 160 00:09:18,419 --> 00:09:16,420 the lab we use bioinformatics tools so 161 00:09:20,819 --> 00:09:18,429 you go to the our love is just a 162 00:09:25,439 --> 00:09:20,829 computer lab no we don't do experiment 163 00:09:28,499 --> 00:09:25,449 experiment and in the very first stage 164 00:09:31,049 --> 00:09:28,509 of my of my project we we used all these 165 00:09:35,729 --> 00:09:31,059 biological information and you can see 166 00:09:38,819 --> 00:09:35,739 in this graph they decide the circle 167 00:09:41,939 --> 00:09:38,829 represent they a the size of viral 168 00:09:43,979 --> 00:09:41,949 genomes but also a DNA viruses are in 169 00:09:49,470 --> 00:09:43,989 blue and our universe in are in red and 170 00:10:02,570 --> 00:09:49,480 you can you can see a conic of the 171 00:10:10,940 --> 00:10:07,230 thank you okay we got we can see a four 172 00:10:15,060 --> 00:10:10,950 circles you can see the biggest a genome 173 00:10:17,430 --> 00:10:15,070 DNA genome and they're the shortest you 174 00:10:20,100 --> 00:10:17,440 know and also in RNA viruses the biggest 175 00:10:23,430 --> 00:10:20,110 and the shortest so well you can see 176 00:10:25,800 --> 00:10:23,440 that the biggest one are all it's very 177 00:10:29,670 --> 00:10:25,810 evident now that DNA viruses have the 178 00:10:31,650 --> 00:10:29,680 biggest genomes in all viruses but for 179 00:10:33,510 --> 00:10:31,660 example Proteus you can see that here 180 00:10:36,030 --> 00:10:33,520 the mega viruses megabyte has have a 181 00:10:39,960 --> 00:10:36,040 double-stranded DNA a double-stranded 182 00:10:44,550 --> 00:10:39,970 DNA genome so you can you can see a that 183 00:10:47,820 --> 00:10:44,560 a all RNA viruses are very well 184 00:10:50,190 --> 00:10:47,830 distributed in the Eukarya lineages but 185 00:10:52,800 --> 00:10:50,200 you cannot see you can see if here just 186 00:10:56,280 --> 00:10:52,810 a few of them and archaea there is a one 187 00:11:00,600 --> 00:10:56,290 of the of the oldest lineage of the Tree 188 00:11:02,940 --> 00:11:00,610 of Life they they don't have RNA viruses 189 00:11:08,610 --> 00:11:02,950 of today but it can be a 190 00:11:12,990 --> 00:11:08,620 abayas but also we can see that the RNA 191 00:11:15,360 --> 00:11:13,000 viruses infect phylogenetically distance 192 00:11:17,520 --> 00:11:15,370 a host for example RNA viruses can 193 00:11:19,410 --> 00:11:17,530 infect at the same time plants and 194 00:11:21,960 --> 00:11:19,420 invertebrates or invertebrates and 195 00:11:28,230 --> 00:11:21,970 vertebrates this you cannot see this in 196 00:11:31,170 --> 00:11:28,240 in the DNA virus in the DNA viruses so 197 00:11:33,270 --> 00:11:31,180 the hypothesis of an early or you know 198 00:11:35,640 --> 00:11:33,280 ferny viruses is not supported by the 199 00:11:39,360 --> 00:11:35,650 phylogenetic distribution as I told you 200 00:11:41,640 --> 00:11:39,370 for example this we have this the domain 201 00:11:43,800 --> 00:11:41,650 of life but you can see that the the red 202 00:11:48,390 --> 00:11:43,810 ones that is the RNA viruses in fact 203 00:11:51,300 --> 00:11:48,400 only the eukaryote a miniature but when 204 00:11:53,940 --> 00:11:51,310 I when we sought the phylogeny of 205 00:11:56,730 --> 00:11:53,950 bacteria we could we come we could find 206 00:12:00,210 --> 00:11:56,740 that a just to wire families like sister 207 00:12:02,820 --> 00:12:00,220 will die and lav VD right there's RNA 208 00:12:05,550 --> 00:12:02,830 RNA the only RNA viruses that infect 209 00:12:07,530 --> 00:12:05,560 prokaryotes and when we saw the 210 00:12:08,090 --> 00:12:07,540 phylogeny of bacteria week we could see 211 00:12:10,440 --> 00:12:08,100 that they were 212 00:12:13,830 --> 00:12:10,450 proteobacteria and Proteobacteria like 213 00:12:15,240 --> 00:12:13,840 shakeela Salmonella Erica collie is very 214 00:12:18,240 --> 00:12:15,250 ecologically related 215 00:12:20,940 --> 00:12:18,250 to the to the eukaryotes so maybe these 216 00:12:23,760 --> 00:12:20,950 these two only viral feminists of 217 00:12:26,760 --> 00:12:23,770 prokaryotes are coming from the 218 00:12:32,430 --> 00:12:26,770 eukaryotic viruses and we have evidence 219 00:12:35,130 --> 00:12:32,440 in their sequences so a as I and we have 220 00:12:39,060 --> 00:12:35,140 we haven't found a virus RNA virus in 221 00:12:41,430 --> 00:12:39,070 area so you can see that RNA viruses are 222 00:12:45,690 --> 00:12:41,440 very related to the origin or today to 223 00:12:48,840 --> 00:12:45,700 the divergence of the el correo chick 224 00:12:51,270 --> 00:12:48,850 host so maybe they had a recent origin 225 00:12:54,810 --> 00:12:51,280 and not you cannot put it in there in an 226 00:12:58,460 --> 00:12:54,820 RNA world in the other hand a mega 227 00:13:02,580 --> 00:12:58,470 viruses that has double stranded a DNA 228 00:13:04,700 --> 00:13:02,590 genome remember that they they they in 229 00:13:07,620 --> 00:13:04,710 the hypothesis of the reduction of 230 00:13:10,860 --> 00:13:07,630 genome they from the four domain of life 231 00:13:14,310 --> 00:13:10,870 but we can see that they say mega 232 00:13:18,829 --> 00:13:14,320 viruses that infect in invertebrates and 233 00:13:23,850 --> 00:13:18,839 vertebrates or protists like like amoeba 234 00:13:27,720 --> 00:13:23,860 for example we we made 2000 phylogenies 235 00:13:29,880 --> 00:13:27,730 of many many of all day the sequences 236 00:13:32,490 --> 00:13:29,890 that they they have all of the all of 237 00:13:35,250 --> 00:13:32,500 the protein that they have and I am 238 00:13:38,100 --> 00:13:35,260 showing just one the Raymond chloride 239 00:13:40,530 --> 00:13:38,110 reductase because this it had this rebel 240 00:13:43,170 --> 00:13:40,540 Crotty reductase is in the core protein 241 00:13:46,620 --> 00:13:43,180 and is the most conserved protein in all 242 00:13:49,380 --> 00:13:46,630 mega viruses and you can see in this 243 00:13:53,970 --> 00:13:49,390 phylogeny in blue we have eukaryotes 244 00:13:58,920 --> 00:13:53,980 sequences in red the virus ones and in 245 00:14:03,090 --> 00:13:58,930 purple we have we got the bacteria once 246 00:14:04,980 --> 00:14:03,100 and in green the archaea ones so you can 247 00:14:07,440 --> 00:14:04,990 see clearly that for example in this 248 00:14:10,110 --> 00:14:07,450 clade in this group we we got this mega 249 00:14:13,079 --> 00:14:10,120 virus sequences of of romano platted 250 00:14:17,840 --> 00:14:13,089 reductase and it is close to their own 251 00:14:20,810 --> 00:14:17,850 hosts so when we look when we look to a 252 00:14:22,590 --> 00:14:20,820 viral rival at the rate of days of other 253 00:14:25,170 --> 00:14:22,600 double-stranded DNA viruses like 254 00:14:28,380 --> 00:14:25,180 baculovirus Ida which in fact where 255 00:14:31,980 --> 00:14:28,390 turrets they also are close to the two 256 00:14:33,840 --> 00:14:31,990 their hosts another example of 257 00:14:37,200 --> 00:14:33,850 double-stranded DNA viruses like pages 258 00:14:40,020 --> 00:14:37,210 they there remain plot I read of taste 259 00:14:44,010 --> 00:14:40,030 is also close to their there the 260 00:14:48,330 --> 00:14:44,020 bacteria ones and so maybe this these 261 00:14:53,190 --> 00:14:48,340 repetitive reductase is a it's escaping 262 00:14:55,470 --> 00:14:53,200 from this a periodic hosts so and and 263 00:14:59,430 --> 00:14:55,480 prokaryotic house in the case of of 264 00:15:02,010 --> 00:14:59,440 phages so but not we we don't only found 265 00:15:06,440 --> 00:15:02,020 that we identified that this ravenclaw 266 00:15:08,850 --> 00:15:06,450 hi reductase is at either type 1a this a 267 00:15:13,250 --> 00:15:08,860 remember that rebel coder reductase 268 00:15:16,680 --> 00:15:13,260 intervenes in the a in the reduction of 269 00:15:19,110 --> 00:15:16,690 Ravana critize to form a succeed revenue 270 00:15:21,900 --> 00:15:19,120 plot eyes I mean the DNA synthesis but 271 00:15:25,590 --> 00:15:21,910 this this rival totally the place type 272 00:15:30,150 --> 00:15:25,600 one I do that but in the presence of 273 00:15:32,880 --> 00:15:30,160 oxygen so a there are three three types 274 00:15:36,300 --> 00:15:32,890 of rebel plotted reductase the the first 275 00:15:39,660 --> 00:15:36,310 one is needs this oxygen and the other 276 00:15:41,930 --> 00:15:39,670 one a they are anaerobic and science so 277 00:15:45,210 --> 00:15:41,940 but the ones that they want that they 278 00:15:49,740 --> 00:15:45,220 remember ty reductase that has that have 279 00:15:52,350 --> 00:15:49,750 that is in the mega virus a genome it's 280 00:15:54,060 --> 00:15:52,360 it needs this oxygen so it means that 281 00:15:57,450 --> 00:15:54,070 maybe this Raymond Cattell reductase 282 00:16:01,800 --> 00:15:57,460 they were acquired multiple times but 283 00:16:07,260 --> 00:16:01,810 before or during the great oxygenic 284 00:16:12,320 --> 00:16:07,270 event so that is it happened 2.5 billion 285 00:16:16,290 --> 00:16:12,330 years ago I mean a 1 billion years after 286 00:16:18,870 --> 00:16:16,300 they approximately the origin of last 287 00:16:21,690 --> 00:16:18,880 common ancestor so these mega viruses 288 00:16:23,490 --> 00:16:21,700 could not be in in the in the in that 289 00:16:28,770 --> 00:16:23,500 early stage of life I mean there in the 290 00:16:31,050 --> 00:16:28,780 original less common ancestor so so they 291 00:16:33,270 --> 00:16:31,060 are a we we have to conclusion about 292 00:16:35,790 --> 00:16:33,280 they RNA virus and DNA viruses there are 293 00:16:39,360 --> 00:16:35,800 no known are any viruses in archaea of 294 00:16:41,780 --> 00:16:39,370 today are any viruses or bacteria found 295 00:16:44,250 --> 00:16:41,790 in animal microbiota like 296 00:16:47,280 --> 00:16:44,260 Proteobacteria mean she careless of the 297 00:16:50,100 --> 00:16:47,290 monastic Akali so RNA viruses have a 298 00:16:52,620 --> 00:16:50,110 recent origin related to the origin of a 299 00:16:55,290 --> 00:16:52,630 eukaryotes so this means that simplicity 300 00:16:58,889 --> 00:16:55,300 I mean RNA viruses because they have a 301 00:17:01,800 --> 00:16:58,899 small a genome does not necessarily 302 00:17:03,900 --> 00:17:01,810 imply impre-- primitiveness so this 303 00:17:08,130 --> 00:17:03,910 means that RNA viruses did not originate 304 00:17:12,120 --> 00:17:08,140 at the RNA world stage but also in the 305 00:17:15,600 --> 00:17:12,130 case of of these examples of DNA viruses 306 00:17:19,559 --> 00:17:15,610 a based on the Raymond plot I'd rather 307 00:17:22,470 --> 00:17:19,569 face a type 1a of phages means that 308 00:17:25,620 --> 00:17:22,480 maybe this protein has a bacterial 309 00:17:28,230 --> 00:17:25,630 origin but in the case of mega viruses 310 00:17:30,990 --> 00:17:28,240 Bakula viruses and herpes viruses I mean 311 00:17:35,070 --> 00:17:31,000 viruses that infect this eukaryotic a 312 00:17:38,910 --> 00:17:35,080 host they this protein has maybe an L 313 00:17:41,430 --> 00:17:38,920 Kotik origin so this a relative 314 00:17:44,340 --> 00:17:41,440 reductase must have evolved once a free 315 00:17:46,500 --> 00:17:44,350 oxygen had accumulated in this event 1 316 00:17:47,220 --> 00:17:46,510 billion years after the last common 317 00:17:49,260 --> 00:17:47,230 ancestor 318 00:17:51,590 --> 00:17:49,270 therefore mega viruses have a recent 319 00:17:54,690 --> 00:17:51,600 origin close to the eukaryotic a 320 00:17:57,120 --> 00:17:54,700 divergence so they do they cannot form 321 00:17:59,460 --> 00:17:57,130 this for form domain of life so that is 322 00:18:01,530 --> 00:17:59,470 the great conclusions that we have in 323 00:18:05,160 --> 00:18:01,540 this preliminary Rizzoli's that viruses 324 00:18:07,110 --> 00:18:05,170 may be ancient but not primitive a so 325 00:18:08,280 --> 00:18:07,120 thank you very much to all of you and 326 00:18:13,860 --> 00:18:08,290 sorry for 327 00:18:17,620 --> 00:18:15,610 and have question 328 00:18:22,770 --> 00:18:17,630 thank you very much Jose we have time 329 00:18:26,080 --> 00:18:22,780 for one question so what do you think 330 00:18:28,000 --> 00:18:26,090 what's your hypothesis for the RNA 331 00:18:30,490 --> 00:18:28,010 viruses being sort of associated with 332 00:18:31,600 --> 00:18:30,500 the advent you carry carry out the 333 00:18:32,250 --> 00:18:31,610 corgin isms do you think it has 334 00:18:34,630 --> 00:18:32,260 something to do with 335 00:18:36,690 --> 00:18:34,640 post-transcriptional modification of the 336 00:18:39,100 --> 00:18:36,700 messenger RNA to make it more stable 337 00:18:42,910 --> 00:18:39,110 which allowed it to maybe then go into 338 00:18:47,410 --> 00:18:42,920 the environment and inform viruses yeah 339 00:18:51,000 --> 00:18:47,420 well actually we we know the mekinese an 340 00:18:54,610 --> 00:18:51,010 example of mechanisms of how have this a 341 00:18:58,390 --> 00:18:54,620 RNA viral genes escape from holes for 342 00:19:01,570 --> 00:18:58,400 example the messenger RNA now you do you 343 00:19:04,180 --> 00:19:01,580 need to the messenger RNA needs to go 344 00:19:07,570 --> 00:19:04,190 out from the new clothes and because 345 00:19:10,810 --> 00:19:07,580 many of RNA viruses infect a the nucleo 346 00:19:13,330 --> 00:19:10,820 career tech nucleus so maybe this could 347 00:19:15,490 --> 00:19:13,340 be an explanation of how they can can 348 00:19:19,360 --> 00:19:15,500 escape from this this cost but also we 349 00:19:22,690 --> 00:19:19,370 have to we try to in the approach in the 350 00:19:24,700 --> 00:19:22,700 next studies we need to analyze the 351 00:19:28,420 --> 00:19:24,710 movie alone for example that a 352 00:19:33,490 --> 00:19:28,430 eukaryotic host have many many retro 353 00:19:37,330 --> 00:19:33,500 elements a trans DNA transposons and 354 00:19:41,730 --> 00:19:37,340 maybe they put it aside this mobile on 355 00:19:48,750 --> 00:19:41,740 can be a transition between this a 356 00:19:52,150 --> 00:19:50,970 let's thank Jose again 357 00:19:53,450 --> 00:19:52,160 [Applause]