1 00:00:11,770 --> 00:00:09,910 [Music] 2 00:00:14,990 --> 00:00:11,780 hello everyone 3 00:00:16,970 --> 00:00:15,000 my name is jono Abshire I am a second 4 00:00:19,250 --> 00:00:16,980 year PhD student at Portland State 5 00:00:21,650 --> 00:00:19,260 University working in the center for 6 00:00:23,150 --> 00:00:21,660 life in extreme environments more 7 00:00:25,070 --> 00:00:23,160 specifically out of the extreme virus 8 00:00:27,130 --> 00:00:25,080 lab and today I'll be giving you a 9 00:00:29,570 --> 00:00:27,140 little bit of insight into Life In Hell 10 00:00:31,910 --> 00:00:29,580 understanding the role of toxin 11 00:00:33,709 --> 00:00:31,920 antitoxin systems in prokaryotic genomes 12 00:00:37,610 --> 00:00:33,719 and their potential for virus host 13 00:00:39,170 --> 00:00:37,620 co-evolution tldr extreme organisms the 14 00:00:40,549 --> 00:00:39,180 viruses that infect them and their 15 00:00:42,709 --> 00:00:40,559 interactions in these extreme 16 00:00:44,630 --> 00:00:42,719 environments and our journey kind of 17 00:00:46,810 --> 00:00:44,640 begins right here so this is a personal 18 00:00:49,130 --> 00:00:46,820 image of Lassen Volcanic National Park 19 00:00:51,350 --> 00:00:49,140 it is one of the many areas on our 20 00:00:53,750 --> 00:00:51,360 beautiful planet that is home to these 21 00:00:56,330 --> 00:00:53,760 volcanic Hot Springs this is one of the 22 00:00:57,709 --> 00:00:56,340 main sampling sites of our lab and while 23 00:00:59,810 --> 00:00:57,719 most people wouldn't believe that there 24 00:01:02,209 --> 00:00:59,820 are things living in this environment 25 00:01:03,889 --> 00:01:02,219 there certainly are 26 00:01:05,390 --> 00:01:03,899 um specifically these microbes from hell 27 00:01:07,490 --> 00:01:05,400 and I'll get back to these guys in just 28 00:01:09,770 --> 00:01:07,500 a second but a little bit of background 29 00:01:11,690 --> 00:01:09,780 about why we why we study these 30 00:01:13,250 --> 00:01:11,700 particular environments so these 31 00:01:15,170 --> 00:01:13,260 volcanic Hot Springs are often 32 00:01:17,210 --> 00:01:15,180 considered and understood to be 33 00:01:19,210 --> 00:01:17,220 analogues for both for planets both 34 00:01:21,950 --> 00:01:19,220 outside and inside of our solar system 35 00:01:25,010 --> 00:01:21,960 referring back to some of the ancient 36 00:01:26,570 --> 00:01:25,020 Hot Springs found recently on Mars which 37 00:01:29,149 --> 00:01:26,580 may or may not have looked something 38 00:01:31,609 --> 00:01:29,159 like this boiling Mud Pot that we find 39 00:01:32,690 --> 00:01:31,619 in Devil's Kitchen at Lassen Volcanic 40 00:01:34,789 --> 00:01:32,700 National Park 41 00:01:38,810 --> 00:01:34,799 getting back to the microbes one such 42 00:01:41,210 --> 00:01:38,820 microbe is this um micro right here uh 43 00:01:43,069 --> 00:01:41,220 spherical cell known as sacrolobus so 44 00:01:44,870 --> 00:01:43,079 factoricus this is a scanning electron 45 00:01:46,370 --> 00:01:44,880 microscope showing you the topology of 46 00:01:49,670 --> 00:01:46,380 the cells 47 00:01:52,490 --> 00:01:49,680 um coined s441 by our lab really thrives 48 00:01:54,469 --> 00:01:52,500 and uh lives in these hot acidic 49 00:01:58,730 --> 00:01:54,479 conditions with temperatures from around 50 00:02:01,190 --> 00:01:58,740 70 to 75 to 80 degrees C and ph's of 51 00:02:04,310 --> 00:02:01,200 around 3 to as low as one so these 52 00:02:06,109 --> 00:02:04,320 really extreme environments and when we 53 00:02:09,290 --> 00:02:06,119 think about these environments and the 54 00:02:12,530 --> 00:02:09,300 reach ecosystems that uh and habitat 55 00:02:15,650 --> 00:02:12,540 them we can also think about one of the 56 00:02:17,570 --> 00:02:15,660 most abundant molecules on the planet so 57 00:02:19,790 --> 00:02:17,580 that of viruses and yes there are these 58 00:02:22,130 --> 00:02:19,800 extreme viruses infecting these 59 00:02:24,229 --> 00:02:22,140 extremophiles uh the one which I work 60 00:02:26,510 --> 00:02:24,239 with in lab is sopholobus spindle shape 61 00:02:29,809 --> 00:02:26,520 virus one sacrilebus is a natural host 62 00:02:32,089 --> 00:02:29,819 of this particular virus this ssv1 this 63 00:02:34,670 --> 00:02:32,099 is Stanley uses they them pronouns a 64 00:02:36,589 --> 00:02:34,680 really character by his lemon shape so 65 00:02:39,110 --> 00:02:36,599 these shapes are really unique to both 66 00:02:41,570 --> 00:02:39,120 archaeal organisms extremophiles and 67 00:02:43,430 --> 00:02:41,580 some of these extreme viruses 68 00:02:45,110 --> 00:02:43,440 and when we think about looking at these 69 00:02:47,270 --> 00:02:45,120 organisms and the interactions between 70 00:02:49,009 --> 00:02:47,280 them in these extreme environments we 71 00:02:52,070 --> 00:02:49,019 can look at some systems currently 72 00:02:55,550 --> 00:02:52,080 prevalent today in bacterial cells so 73 00:02:58,130 --> 00:02:55,560 these toxin antitoxin systems usually 74 00:03:00,650 --> 00:02:58,140 known as addiction modules found on 75 00:03:05,030 --> 00:03:00,660 plasmids again really prevalent in 76 00:03:07,550 --> 00:03:05,040 bacterial genomes only recently being uh 77 00:03:09,229 --> 00:03:07,560 being discovered to have some viral 78 00:03:12,470 --> 00:03:09,239 encoding 79 00:03:15,410 --> 00:03:12,480 and what this particular system confers 80 00:03:17,330 --> 00:03:15,420 is when you have a plasmid that has the 81 00:03:19,910 --> 00:03:17,340 positive uh or is positive for that 82 00:03:21,830 --> 00:03:19,920 particular addiction module that cell 83 00:03:23,690 --> 00:03:21,840 will needs that plasmid in order to 84 00:03:26,089 --> 00:03:23,700 continue its life in that particular 85 00:03:29,330 --> 00:03:26,099 environment so here we have the presence 86 00:03:31,309 --> 00:03:29,340 of the TA should that cell or progeny 87 00:03:33,110 --> 00:03:31,319 continue with the presence of that 88 00:03:35,210 --> 00:03:33,120 plasmid you would expect normal growth 89 00:03:37,009 --> 00:03:35,220 in the environment whereas if it were to 90 00:03:38,930 --> 00:03:37,019 lose that plasmid it would would have 91 00:03:41,149 --> 00:03:38,940 been addicted to that particular genome 92 00:03:43,070 --> 00:03:41,159 it would die off whereas in a negative 93 00:03:45,410 --> 00:03:43,080 system you would get growth either way 94 00:03:47,330 --> 00:03:45,420 whether or not there's plasmid loss and 95 00:03:49,130 --> 00:03:47,340 we can further visualize this particular 96 00:03:51,949 --> 00:03:49,140 mechanism by looking at what might 97 00:03:53,869 --> 00:03:51,959 happen to some uncolonized cells some 98 00:03:55,789 --> 00:03:53,879 sort of event happens in which the 99 00:03:57,050 --> 00:03:55,799 addiction module is introduced to that 100 00:03:59,030 --> 00:03:57,060 population 101 00:04:01,190 --> 00:03:59,040 and you have your addicted Survivor 102 00:04:02,809 --> 00:04:01,200 going on to make new progeny and then 103 00:04:05,270 --> 00:04:02,819 conferring that group protection and 104 00:04:08,149 --> 00:04:05,280 persistence so these systems are really 105 00:04:11,449 --> 00:04:08,159 understood in bacteria to confer a 106 00:04:14,270 --> 00:04:11,459 microbial persistence phenotype some 107 00:04:17,509 --> 00:04:14,280 have been referred to as fate defense 108 00:04:21,229 --> 00:04:17,519 mechanisms and largely considered uh as 109 00:04:23,330 --> 00:04:21,239 plasmid stabilizers on the plasm 110 00:04:25,010 --> 00:04:23,340 um and we can also uh assume that 111 00:04:26,270 --> 00:04:25,020 another group of uncolonized cells were 112 00:04:28,189 --> 00:04:26,280 to come in here perhaps that group 113 00:04:30,950 --> 00:04:28,199 encounter you would still get that toxic 114 00:04:33,230 --> 00:04:30,960 culling uh from that toxin antitoxin 115 00:04:35,030 --> 00:04:33,240 system uh one important note they are 116 00:04:37,490 --> 00:04:35,040 characterized as two genes that are 117 00:04:39,770 --> 00:04:37,500 typically right next to each other 118 00:04:42,290 --> 00:04:39,780 um the toxin being just Downstream of 119 00:04:44,990 --> 00:04:42,300 the antitoxin uh pretty stable toxin 120 00:04:47,570 --> 00:04:45,000 pretty unstable antitoxin 121 00:04:49,310 --> 00:04:47,580 and looking at this system with ssv1 a 122 00:04:54,469 --> 00:04:49,320 previous student did quite a bit of work 123 00:04:56,510 --> 00:04:54,479 in uh mutagenesis of the ssv1 genome and 124 00:04:59,150 --> 00:04:56,520 we use this at least these mutants to 125 00:05:00,650 --> 00:04:59,160 test whether or not some of these uh 126 00:05:03,170 --> 00:05:00,660 genes or open reading frames are 127 00:05:05,870 --> 00:05:03,180 essential to the virus and two genes in 128 00:05:08,090 --> 00:05:05,880 particular this T3 and TX transcript 129 00:05:11,090 --> 00:05:08,100 these particular two genes we can make 130 00:05:14,090 --> 00:05:11,100 changes to what I think is the antitoxin 131 00:05:15,710 --> 00:05:14,100 and we don't see too much 132 00:05:18,050 --> 00:05:15,720 um difference in terms of viral 133 00:05:20,390 --> 00:05:18,060 infection viral function whereas if we 134 00:05:21,830 --> 00:05:20,400 were to delete this uh or insert a 135 00:05:23,749 --> 00:05:21,840 sequence into this particular open 136 00:05:26,390 --> 00:05:23,759 reading frame what I think is the toxin 137 00:05:28,070 --> 00:05:26,400 we do see differences in infection 138 00:05:32,450 --> 00:05:28,080 mechanisms 139 00:05:34,430 --> 00:05:32,460 these extreme viruses and just virus 140 00:05:36,950 --> 00:05:34,440 reproduction overall viruses can 141 00:05:39,469 --> 00:05:36,960 typically go through two Pathways or a 142 00:05:42,409 --> 00:05:39,479 combination of both so a lyric cycle in 143 00:05:44,090 --> 00:05:42,419 which the viral genome or the viral DNA 144 00:05:46,310 --> 00:05:44,100 will insert itself into the cell 145 00:05:49,010 --> 00:05:46,320 you have some replication going on 146 00:05:51,170 --> 00:05:49,020 eventually assembly of those virions and 147 00:05:53,090 --> 00:05:51,180 the cell will then burst die and those 148 00:05:55,969 --> 00:05:53,100 viruses will go on to infect other cells 149 00:05:58,249 --> 00:05:55,979 whereas in a lysogenic cycle the viral 150 00:06:00,350 --> 00:05:58,259 genome is incorporated into the host 151 00:06:02,629 --> 00:06:00,360 genome and there's usually a latent 152 00:06:05,529 --> 00:06:02,639 phase in which it kind of just stays 153 00:06:09,230 --> 00:06:05,539 there maybe some induction event happens 154 00:06:11,810 --> 00:06:09,240 in ssv's case it actually just buds from 155 00:06:13,550 --> 00:06:11,820 the cell without killing the cell and 156 00:06:16,249 --> 00:06:13,560 one of the one of the two ways that we 157 00:06:18,650 --> 00:06:16,259 use to test for this viral reproduction 158 00:06:20,990 --> 00:06:18,660 is of course PCR so amplifying a 159 00:06:23,590 --> 00:06:21,000 sequence that's specific to viral DNA 160 00:06:27,230 --> 00:06:23,600 looking for its presence in cell-free 161 00:06:29,210 --> 00:06:27,240 supernatants another way is through Halo 162 00:06:30,710 --> 00:06:29,220 assay so very similar to a plaque assay 163 00:06:31,670 --> 00:06:30,720 in which you look where cells are 164 00:06:35,150 --> 00:06:31,680 bursting 165 00:06:37,249 --> 00:06:35,160 we cultivate a lot of cells uninfected 166 00:06:39,950 --> 00:06:37,259 sacraloba cells like you saw in the 167 00:06:41,990 --> 00:06:39,960 slide a while back and then we spot cell 168 00:06:43,490 --> 00:06:42,000 free supernatants which contain these 169 00:06:46,129 --> 00:06:43,500 mutant viruses 170 00:06:48,950 --> 00:06:46,139 onto the plate and look for clearings 171 00:06:51,950 --> 00:06:48,960 and this Halo assay is made possible 172 00:06:55,189 --> 00:06:51,960 because of the fact that ssv1 buds from 173 00:06:57,590 --> 00:06:55,199 its cell without killing the cell 174 00:06:59,689 --> 00:06:57,600 um and the onion the infected cells grow 175 00:07:02,029 --> 00:06:59,699 quite slower so it really converts this 176 00:07:03,950 --> 00:07:02,039 growth stunting phenotype in the 177 00:07:06,469 --> 00:07:03,960 sacrolobus cell 178 00:07:08,150 --> 00:07:06,479 and looking at the toxin protein and 179 00:07:09,590 --> 00:07:08,160 large a large majority of my work has 180 00:07:13,490 --> 00:07:09,600 been looking at mutants that we've made 181 00:07:15,409 --> 00:07:13,500 in this toxin protein and several uh 182 00:07:17,029 --> 00:07:15,419 machine learning softwares have 183 00:07:20,450 --> 00:07:17,039 indicated that there's a quite a high 184 00:07:22,969 --> 00:07:20,460 probability of a cleavage site over here 185 00:07:25,730 --> 00:07:22,979 behind this very hydrophobic 186 00:07:27,589 --> 00:07:25,740 uh Helix you right here and so I sought 187 00:07:30,830 --> 00:07:27,599 to characterize at least this particular 188 00:07:33,050 --> 00:07:30,840 mechanism in ssv1 through using some of 189 00:07:36,650 --> 00:07:33,060 these mutants that we already have 190 00:07:38,330 --> 00:07:36,660 um and while largely these over here are 191 00:07:40,550 --> 00:07:38,340 our wild type so really shouldn't expect 192 00:07:43,430 --> 00:07:40,560 any kind of change in viral function you 193 00:07:46,309 --> 00:07:43,440 can see some really nice Halos and we 194 00:07:48,290 --> 00:07:46,319 can confer that you know the cells are 195 00:07:49,969 --> 00:07:48,300 not dying but they're sick 196 00:07:53,749 --> 00:07:49,979 and in our mutants where we have 197 00:07:55,909 --> 00:07:53,759 insertions in in that specific toxin uh 198 00:07:57,469 --> 00:07:55,919 open reading frame we don't see any Halo 199 00:08:00,589 --> 00:07:57,479 formation 200 00:08:02,930 --> 00:08:00,599 um likewise I sought to substitute those 201 00:08:05,689 --> 00:08:02,940 two uh residues at the cleavage site 202 00:08:08,629 --> 00:08:05,699 since it's largely important for protein 203 00:08:10,490 --> 00:08:08,639 maturation protein function and we still 204 00:08:13,430 --> 00:08:10,500 don't see a Halo just switching those 205 00:08:15,170 --> 00:08:13,440 two residues but the main takeaway from 206 00:08:16,969 --> 00:08:15,180 this is that we still get virus 207 00:08:19,550 --> 00:08:16,979 replication 208 00:08:21,230 --> 00:08:19,560 um we still get quite a bit of at least 209 00:08:23,869 --> 00:08:21,240 high levels of viral replication from 210 00:08:25,610 --> 00:08:23,879 some of these mutants and one of these 211 00:08:28,249 --> 00:08:25,620 mutants particular we didn't see 212 00:08:29,869 --> 00:08:28,259 anything so maybe that one's detrimental 213 00:08:32,630 --> 00:08:29,879 to that particular open reading frame 214 00:08:34,550 --> 00:08:32,640 but we do see that there is virus 215 00:08:38,389 --> 00:08:34,560 replication happening in the cell 216 00:08:40,250 --> 00:08:38,399 supernatant when we screen for DNA 217 00:08:42,829 --> 00:08:40,260 um and it's important to kind of note 218 00:08:44,329 --> 00:08:42,839 that this this protein isn't just unique 219 00:08:46,190 --> 00:08:44,339 to ssv1 220 00:08:48,650 --> 00:08:46,200 um in in looking at these systems in 221 00:08:50,690 --> 00:08:48,660 these extreme organisms uh this one in 222 00:08:53,210 --> 00:08:50,700 particular up here is another SSV so 223 00:08:55,190 --> 00:08:53,220 another spindle shaped virus in which we 224 00:08:58,370 --> 00:08:55,200 see really low sequence similarity 225 00:09:01,490 --> 00:08:58,380 across these particular genes but quite 226 00:09:03,769 --> 00:09:01,500 a hot quite a high bit of um structural 227 00:09:05,410 --> 00:09:03,779 similarity between these genes and a lot 228 00:09:08,210 --> 00:09:05,420 of these are 229 00:09:11,150 --> 00:09:08,220 genomes of extremophiles while some are 230 00:09:13,430 --> 00:09:11,160 virally encoded 231 00:09:15,410 --> 00:09:13,440 and uh one of the main takeaways really 232 00:09:17,210 --> 00:09:15,420 just wrapping uh wrapping it all back 233 00:09:19,070 --> 00:09:17,220 around looking for these particular 234 00:09:20,750 --> 00:09:19,080 mechanisms and how they confer 235 00:09:23,570 --> 00:09:20,760 persistence with both their 236 00:09:26,210 --> 00:09:23,580 extremophilic organism and their viruses 237 00:09:28,970 --> 00:09:26,220 would be a really nice first start in 238 00:09:32,630 --> 00:09:28,980 looking for these biosignatures perhaps 239 00:09:34,790 --> 00:09:32,640 um and ways that we can look into how 240 00:09:36,829 --> 00:09:34,800 the microbes might be interacting 241 00:09:39,050 --> 00:09:36,839 in these particular extreme environments 242 00:09:41,389 --> 00:09:39,060 this is another sampling video 243 00:09:43,910 --> 00:09:41,399 um just of Lassen Volcanic Park pretty 244 00:09:45,290 --> 00:09:43,920 pretty close to where s441 was isolated 245 00:09:47,329 --> 00:09:45,300 from 246 00:09:49,130 --> 00:09:47,339 uh looks pretty similar to maybe 247 00:09:50,870 --> 00:09:49,140 something we'd see on another planet 248 00:09:54,410 --> 00:09:50,880 that we could sample at 249 00:09:56,389 --> 00:09:54,420 and then a Shameless plug but looking 250 00:09:58,009 --> 00:09:56,399 for viruses in space I think is the 251 00:10:00,050 --> 00:09:58,019 obvious next step we know that they're 252 00:10:03,350 --> 00:10:00,060 the most abundant molecule on the planet 253 00:10:04,970 --> 00:10:03,360 and just understanding that these 254 00:10:07,490 --> 00:10:04,980 mechanisms and that these systems are 255 00:10:10,190 --> 00:10:07,500 out there allowing these cells to thrive 256 00:10:13,370 --> 00:10:10,200 in this particular environment would be 257 00:10:16,009 --> 00:10:13,380 a great uh in starter conversation for 258 00:10:17,269 --> 00:10:16,019 looking for these small biomolecules in 259 00:10:19,490 --> 00:10:17,279 space 260 00:10:20,870 --> 00:10:19,500 and with that I just want to thank my 261 00:10:23,449 --> 00:10:20,880 lab 262 00:10:26,570 --> 00:10:23,459 um my group over here at Boiling Springs 263 00:10:31,770 --> 00:10:26,580 Lake when we collected samples and my Pi 264 00:10:31,780 --> 00:10:35,570 [Music] 265 00:10:43,250 --> 00:10:38,210 thank you General we have a time for 266 00:10:46,850 --> 00:10:45,350 hey my name is Pia and I'm really 267 00:10:48,650 --> 00:10:46,860 interested in like Christopher Cross 268 00:10:50,150 --> 00:10:48,660 Community of microbes 269 00:10:52,009 --> 00:10:50,160 um have you looked at all into the 270 00:10:53,210 --> 00:10:52,019 interactions of other phage defense 271 00:10:57,170 --> 00:10:53,220 systems 272 00:10:59,449 --> 00:10:57,180 um yeah so at least in terms of uh this 273 00:11:01,670 --> 00:10:59,459 toxin antitoxin system they're pretty 274 00:11:03,170 --> 00:11:01,680 understood in bacterial cells to like 275 00:11:06,650 --> 00:11:03,180 incorporate themselves into the genomic 276 00:11:09,110 --> 00:11:06,660 crispr cas9 there are some proteins that 277 00:11:10,970 --> 00:11:09,120 um that look pretty similar to this a291 278 00:11:14,990 --> 00:11:10,980 and some of these other virally encoded 279 00:11:18,530 --> 00:11:15,000 genes that do have some kind of crispr 280 00:11:20,449 --> 00:11:18,540 casts editing mechanism so yeah I think 281 00:11:21,829 --> 00:11:20,459 they it might be leaning towards that 282 00:11:24,050 --> 00:11:21,839 way but they're pretty well 283 00:11:26,750 --> 00:11:24,060 characterized in terms of like how they 284 00:11:28,910 --> 00:11:26,760 work with proteins and mRNA so um yeah 285 00:11:30,530 --> 00:11:28,920 not too far there yet but 286 00:11:44,090 --> 00:11:30,540 um definitely definitely somewhere in 287 00:11:49,790 --> 00:11:46,310 uh thank you for the talk um Marshall 288 00:11:51,470 --> 00:11:49,800 Seton JPL and I I was curious so um 289 00:11:53,569 --> 00:11:51,480 you're talking about looking for viruses 290 00:11:55,190 --> 00:11:53,579 and extraterrestrial environments um do 291 00:11:57,230 --> 00:11:55,200 you think there would be or I'm curious 292 00:11:59,990 --> 00:11:57,240 I'm completely ignoring yeah so no no I 293 00:12:02,210 --> 00:12:00,000 dropped out of biotube so for this 294 00:12:04,370 --> 00:12:02,220 um for viruses specifically like it 295 00:12:07,370 --> 00:12:04,380 would small molecule biosignature 296 00:12:09,650 --> 00:12:07,380 classes vary from viruses to like what 297 00:12:12,769 --> 00:12:09,660 you'd be looking for to cells yeah yeah 298 00:12:14,210 --> 00:12:12,779 I I for sure and that kind of brings me 299 00:12:15,769 --> 00:12:14,220 at least back to a point like of looking 300 00:12:18,170 --> 00:12:15,779 for fossils and stuff like that so 301 00:12:20,150 --> 00:12:18,180 viruses and sediment 302 00:12:22,490 --> 00:12:20,160 um and at least our lab there's been 303 00:12:24,470 --> 00:12:22,500 some work in like silica and coding 304 00:12:26,990 --> 00:12:24,480 viruses and how you know the stability 305 00:12:28,910 --> 00:12:27,000 of them so maybe there's a pretty silica 306 00:12:30,710 --> 00:12:28,920 Rich environment in which we might be 307 00:12:32,870 --> 00:12:30,720 able to look for any kind of these 308 00:12:35,509 --> 00:12:32,880 signatures so like proteins 309 00:12:37,190 --> 00:12:35,519 um or or yeah just specific things that 310 00:12:38,870 --> 00:12:37,200 might might have been preserved in those 311 00:12:41,150 --> 00:12:38,880 particular environments 312 00:12:43,790 --> 00:12:41,160 um considering that these viruses live 313 00:12:45,590 --> 00:12:43,800 and thrive in in pretty extremes 314 00:12:47,269 --> 00:12:45,600 um you know they're they're they got 315 00:12:50,210 --> 00:12:47,279 they got to be out there at least in my 316 00:12:52,310 --> 00:12:50,220 mind so you mentioned um looking at like 317 00:12:54,590 --> 00:12:52,320 morphology and fossils and things like 318 00:12:57,350 --> 00:12:54,600 that I know that at least for 319 00:13:00,110 --> 00:12:57,360 um looking at cells and things they've 320 00:13:02,629 --> 00:13:00,120 been shown to to mimic abiotic systems 321 00:13:06,170 --> 00:13:02,639 uh pretty well because humans are very 322 00:13:08,949 --> 00:13:06,180 good pattern recognition and so um has 323 00:13:13,190 --> 00:13:08,959 anything been seen like that for viruses 324 00:13:14,750 --> 00:13:13,200 yeah not the not that I'm familiar with 325 00:13:16,670 --> 00:13:14,760 um I know it's at least a brand new 326 00:13:18,829 --> 00:13:16,680 conversation of starting to look for 327 00:13:21,170 --> 00:13:18,839 like viruses in space Astro virology 328 00:13:23,269 --> 00:13:21,180 things like that so uh yeah we're just 329 00:13:24,590 --> 00:13:23,279 kind of getting up and running oh yeah 330 00:13:26,389 --> 00:13:24,600 yeah no sorry I don't mean to like play 331 00:13:32,590 --> 00:13:26,399 20 Questions oh no I just thought it was 332 00:13:37,610 --> 00:13:35,870 yeah there's a there's a little cure lab 333 00:13:40,009 --> 00:13:37,620 that like goes on right now that I teach 334 00:13:44,030 --> 00:13:40,019 so I'm obviously not there but they're 335 00:13:44,040 --> 00:13:57,520 any other questions