1 00:00:00,820 --> 00:00:09,310 [Music] 2 00:00:14,150 --> 00:00:11,690 so I'll be taking a step back from 3 00:00:16,070 --> 00:00:14,160 multicellularity but not all the way 4 00:00:18,859 --> 00:00:16,080 back to prebiotic chemistry so right in 5 00:00:20,779 --> 00:00:18,869 the middle are all of us microbiology is 6 00:00:24,700 --> 00:00:20,789 trying to understand the diversity in 7 00:00:27,140 --> 00:00:24,710 this tiny cellular organisms and 8 00:00:28,790 --> 00:00:27,150 originally I guess I got involved in 9 00:00:30,769 --> 00:00:28,800 microbiology or interested out of 10 00:00:32,990 --> 00:00:30,779 curiosity but in the context of 11 00:00:34,729 --> 00:00:33,000 astrobiology understanding the whole 12 00:00:39,049 --> 00:00:34,739 diversity of how single cells can make a 13 00:00:41,540 --> 00:00:39,059 living is important to understand or or 14 00:00:43,310 --> 00:00:41,550 choose proper targets for exploration 15 00:00:45,380 --> 00:00:43,320 beyond ocean worlds 16 00:00:47,479 --> 00:00:45,390 I also interpret the findings from the 17 00:00:49,400 --> 00:00:47,489 data that we get back from our 18 00:00:52,910 --> 00:00:49,410 explorations and perhaps also in the 19 00:00:55,939 --> 00:00:52,920 future once we if we understand how the 20 00:00:58,220 --> 00:00:55,949 breadth of these organism on niches we 21 00:01:00,200 --> 00:00:58,230 can prevent an planet cross 22 00:01:04,460 --> 00:01:00,210 contamination by preventing organisms 23 00:01:07,510 --> 00:01:04,470 from one body going into another so in 24 00:01:09,679 --> 00:01:07,520 order to do these we need to understand 25 00:01:15,320 --> 00:01:09,689 what is what is the life on how 26 00:01:17,719 --> 00:01:15,330 microorganisms make a living essentially 27 00:01:20,210 --> 00:01:17,729 this is something that already explained 28 00:01:21,469 --> 00:01:20,220 but if you want something to if you're 29 00:01:23,420 --> 00:01:21,479 looking for something that is alive that 30 00:01:26,749 --> 00:01:23,430 grows reproduces and undergoes evolution 31 00:01:28,219 --> 00:01:26,759 that organism needs to be able to do one 32 00:01:30,770 --> 00:01:28,229 fundamental thing which is obtain energy 33 00:01:33,740 --> 00:01:30,780 and the difference with us that we 34 00:01:36,560 --> 00:01:33,750 depend on oxygen microbes prokaryotes 35 00:01:39,440 --> 00:01:36,570 can employ a wide variety of substrate 36 00:01:41,859 --> 00:01:39,450 to get energy and what that that shows 37 00:01:43,670 --> 00:01:41,869 the redox hour shows is that as long as 38 00:01:47,359 --> 00:01:43,680 microorganisms can figure out the 39 00:01:50,210 --> 00:01:47,369 biochemical strategy that allows them to 40 00:01:52,460 --> 00:01:50,220 take something to transfer electrons and 41 00:01:53,990 --> 00:01:52,470 harness the energy from the transfer of 42 00:01:55,580 --> 00:01:54,000 electrons from something that has a low 43 00:01:58,429 --> 00:01:55,590 redox potential to a higher one and 44 00:02:01,060 --> 00:01:58,439 transform that into an 18-2 ATP then 45 00:02:03,679 --> 00:02:01,070 then can they can use the energy to 46 00:02:07,750 --> 00:02:03,689 perform a wide variety of functions and 47 00:02:11,980 --> 00:02:07,760 survive and on earth we have 48 00:02:14,410 --> 00:02:11,990 huge number of Nicias tiny and big and 49 00:02:17,350 --> 00:02:14,420 all sorts of microorganisms employing 50 00:02:19,840 --> 00:02:17,360 different strategies and we had our task 51 00:02:22,270 --> 00:02:19,850 as microbiologist in a way is to 52 00:02:24,400 --> 00:02:22,280 understand each one of them and see the 53 00:02:27,520 --> 00:02:24,410 potential for each one of them even 54 00:02:29,470 --> 00:02:27,530 though if on earth they are in very 55 00:02:34,690 --> 00:02:29,480 small niches they could be predominant 56 00:02:37,420 --> 00:02:34,700 in other planets but we don't not only 57 00:02:38,950 --> 00:02:37,430 have this huge planet to explore life we 58 00:02:41,650 --> 00:02:38,960 have four other Earth's to explore 59 00:02:44,080 --> 00:02:41,660 respiratory diversity perhaps not in 60 00:02:47,650 --> 00:02:44,090 this geographical space dimension but in 61 00:02:50,830 --> 00:02:47,660 time and as Marcus already showed the 62 00:02:52,540 --> 00:02:50,840 earth our earth went through different 63 00:02:55,450 --> 00:02:52,550 transition periods over time that 64 00:02:57,850 --> 00:02:55,460 depending on on oxygen levels driven in 65 00:03:02,560 --> 00:02:57,860 turn by microorganisms and in each one 66 00:03:04,150 --> 00:03:02,570 of these scenarios the earth had 67 00:03:05,800 --> 00:03:04,160 completely different environments that 68 00:03:07,960 --> 00:03:05,810 probably select four different types of 69 00:03:09,940 --> 00:03:07,970 organisms at the beginning where there 70 00:03:11,410 --> 00:03:09,950 was no oxygen the atmospheric 71 00:03:13,530 --> 00:03:11,420 composition was also very different 72 00:03:16,420 --> 00:03:13,540 probably full of methane or hydrogen and 73 00:03:18,280 --> 00:03:16,430 so different microorganisms that perhaps 74 00:03:21,220 --> 00:03:18,290 are not very abundant now probably were 75 00:03:23,830 --> 00:03:21,230 very abundant at the beginning in the 76 00:03:27,250 --> 00:03:23,840 future so accordion worlds and also the 77 00:03:29,020 --> 00:03:27,260 oxygen that was drove different other 78 00:03:30,970 --> 00:03:29,030 electron acceptor levels such as iron 79 00:03:33,370 --> 00:03:30,980 and manganese and other substrates that 80 00:03:35,710 --> 00:03:33,380 microorganisms could incorporate for 81 00:03:38,770 --> 00:03:35,720 life and to develop different strategies 82 00:03:40,449 --> 00:03:38,780 to breed and generate energy and I am 83 00:03:45,220 --> 00:03:40,459 interested in particularly in iron and 84 00:03:48,610 --> 00:03:45,230 manganese and we know the broad trend of 85 00:03:52,000 --> 00:03:48,620 iron coming down from millimolar micro 86 00:03:54,880 --> 00:03:52,010 molar levels to nano molars in which 87 00:03:59,410 --> 00:03:54,890 nowadays iron becomes even limiting for 88 00:04:01,780 --> 00:03:59,420 life manganese is also probably 89 00:04:05,340 --> 00:04:01,790 following a similar trend and both can 90 00:04:08,860 --> 00:04:05,350 be used by bacteria to harvest energy 91 00:04:11,520 --> 00:04:08,870 and nowadays in there are very small 92 00:04:15,580 --> 00:04:11,530 pockets of the earth where these ancient 93 00:04:16,870 --> 00:04:15,590 conditions prevail and we call them some 94 00:04:18,490 --> 00:04:16,880 of them have very similar 95 00:04:21,740 --> 00:04:18,500 characteristics let's such as high iron 96 00:04:24,020 --> 00:04:21,750 no oxygen and we call these ancient of 97 00:04:26,150 --> 00:04:24,030 like the one picture that you see there 98 00:04:28,760 --> 00:04:26,160 so our strategy if you want to look at 99 00:04:31,850 --> 00:04:28,770 potential primitive mechanisms for life 100 00:04:34,490 --> 00:04:31,860 not only now but also in the past is to 101 00:04:38,120 --> 00:04:34,500 explore this ancient ocean analogues and 102 00:04:41,030 --> 00:04:38,130 search for the metabolisms that we that 103 00:04:43,730 --> 00:04:41,040 were interested in so what that's what 104 00:04:45,710 --> 00:04:43,740 we did we trying to understand the 105 00:04:47,960 --> 00:04:45,720 different forms of manganese cycling in 106 00:04:50,300 --> 00:04:47,970 the environment we took samples from 107 00:04:52,940 --> 00:04:50,310 Lake Madonna which is the original high 108 00:04:55,340 --> 00:04:52,950 iron very low carbon ancient ocean 109 00:04:56,840 --> 00:04:55,350 analog that has a manganese cycle as you 110 00:04:58,690 --> 00:04:56,850 can see there it's likely driven by 111 00:05:01,960 --> 00:04:58,700 microbes that oxidized and reduced 112 00:05:07,190 --> 00:05:01,970 manganese which ends up precipitating 113 00:05:09,560 --> 00:05:07,200 but geochemists have looked at this at 114 00:05:12,130 --> 00:05:09,570 this lake for a long time but and so 115 00:05:14,480 --> 00:05:12,140 it's very well characterized in terms of 116 00:05:18,800 --> 00:05:14,490 readouts it's we know that it's 117 00:05:21,740 --> 00:05:18,810 permanently anoxic and an iron manganese 118 00:05:23,540 --> 00:05:21,750 are our big electron donors acceptors 119 00:05:25,700 --> 00:05:23,550 but we don't know much about who is 120 00:05:28,430 --> 00:05:25,710 doing who's doing what and who is 121 00:05:30,230 --> 00:05:28,440 responsible for the manganese cycling so 122 00:05:34,010 --> 00:05:30,240 the strategy that we employed was to 123 00:05:36,580 --> 00:05:34,020 take sediments from this lake cultivated 124 00:05:39,830 --> 00:05:36,590 under three goe conditions a lot of iron 125 00:05:42,080 --> 00:05:39,840 very low oxygen with the selection 126 00:05:44,360 --> 00:05:42,090 pressure of adding only manganese as the 127 00:05:45,860 --> 00:05:44,370 electron acceptor and over time we hope 128 00:05:47,420 --> 00:05:45,870 that we would I say late organisms 129 00:05:52,060 --> 00:05:47,430 involved in manganese cycle we would 130 00:05:54,740 --> 00:05:52,070 have pure beautiful cultures cells and 131 00:05:56,540 --> 00:05:54,750 we would transfer them over time to get 132 00:05:59,420 --> 00:05:56,550 rid of all the settlements and and other 133 00:06:03,050 --> 00:05:59,430 components to obtain microbes that only 134 00:06:06,350 --> 00:06:03,060 use manganese so what what we saw after 135 00:06:12,220 --> 00:06:06,360 several transfers over around about a 136 00:06:15,710 --> 00:06:12,230 year is that I wish either this and this 137 00:06:18,020 --> 00:06:15,720 essentially shows the community 138 00:06:23,060 --> 00:06:18,030 structure who is there and what we use 139 00:06:25,340 --> 00:06:23,070 is the 16s the ribosome RNA genes as a 140 00:06:27,560 --> 00:06:25,350 phylogenetic marker to extract the whole 141 00:06:30,710 --> 00:06:27,570 the composition of the whole community 142 00:06:33,409 --> 00:06:30,720 and see who is there and the most 143 00:06:34,549 --> 00:06:33,419 important point of this figure is to 144 00:06:36,409 --> 00:06:34,559 show you that 145 00:06:39,349 --> 00:06:36,419 Murdo cyclists and we'll call the yes 146 00:06:41,809 --> 00:06:39,359 these two green and blue bars that you 147 00:06:46,759 --> 00:06:41,819 can see after a few transfers but not on 148 00:06:50,569 --> 00:06:46,769 the original inoculum were appeared and 149 00:06:54,019 --> 00:06:50,579 they are both from the same group of 150 00:06:57,859 --> 00:06:54,029 bacteria called beta Proteobacteria so 151 00:07:01,279 --> 00:06:57,869 we wanted to trying to understand why 152 00:07:03,949 --> 00:07:01,289 those were enriched in our conditions so 153 00:07:07,549 --> 00:07:03,959 we wanted to dig deeper into what were 154 00:07:09,589 --> 00:07:07,559 they doing there and and who they 155 00:07:13,699 --> 00:07:09,599 actually were so we took the whole comes 156 00:07:16,339 --> 00:07:13,709 the whole set of complete sample of DNA 157 00:07:18,079 --> 00:07:16,349 and proteins together and we did 158 00:07:20,119 --> 00:07:18,089 metagenomics and meta proteomics what 159 00:07:22,549 --> 00:07:20,129 this means is that on one hand we took 160 00:07:24,739 --> 00:07:22,559 the DNA the DNA is sequenced into very 161 00:07:26,359 --> 00:07:24,749 small small fragments are sequenced and 162 00:07:28,669 --> 00:07:26,369 then by informatica ly they're put 163 00:07:31,549 --> 00:07:28,679 together into bigger chunks eventually 164 00:07:34,339 --> 00:07:31,559 maybe making a complete genome if 165 00:07:36,409 --> 00:07:34,349 depending on the on your sample on the 166 00:07:39,669 --> 00:07:36,419 other hand we took the complete set of 167 00:07:43,429 --> 00:07:39,679 proteins also little peptides were 168 00:07:46,489 --> 00:07:43,439 passed through LC ms/ms and that pattern 169 00:07:49,369 --> 00:07:46,499 that is generated was compared back to a 170 00:07:51,949 --> 00:07:49,379 theoretical pattern from the translated 171 00:07:53,419 --> 00:07:51,959 nucleotides from the DNA and that way 172 00:07:54,919 --> 00:07:53,429 you can see which proteins are expressed 173 00:07:57,350 --> 00:07:54,929 and we did that with the help of 174 00:08:02,359 --> 00:07:57,360 brooklyn doctrine and from the 175 00:08:05,629 --> 00:08:02,369 university of washington so what we we 176 00:08:07,879 --> 00:08:05,639 saw that these declare amana that we saw 177 00:08:09,829 --> 00:08:07,889 were and reached also we could we were 178 00:08:12,649 --> 00:08:09,839 able to get the whole genome from the 179 00:08:15,889 --> 00:08:12,659 community and we compared it with known 180 00:08:19,779 --> 00:08:15,899 the terminus species we confirmed that 181 00:08:22,219 --> 00:08:19,789 this belongs to that genus and we 182 00:08:24,139 --> 00:08:22,229 compare the genomes their identity of 183 00:08:27,069 --> 00:08:24,149 the genomes to the two more to the one 184 00:08:30,709 --> 00:08:27,079 most closely related with the most 185 00:08:32,779 --> 00:08:30,719 likely closest relative and we found 186 00:08:35,540 --> 00:08:32,789 that they were 85 percent identical so 187 00:08:37,429 --> 00:08:35,550 to assign two different organisms into 188 00:08:40,489 --> 00:08:37,439 the same species you need at least 95 189 00:08:42,829 --> 00:08:40,499 percent so with 85 percent we concluded 190 00:08:47,119 --> 00:08:42,839 that this was a new genomics and genomic 191 00:08:48,079 --> 00:08:47,129 species we that was enriching our 192 00:08:51,379 --> 00:08:48,089 culture but we 193 00:08:53,809 --> 00:08:51,389 are still we weren't able to isolate it 194 00:08:55,519 --> 00:08:53,819 yet so we're calling it Candida to the 195 00:08:58,369 --> 00:08:55,529 terminus of Kolkata because it's still 196 00:09:03,590 --> 00:08:58,379 hidden in our samples it was hidden 197 00:09:05,869 --> 00:09:03,600 originally in Lake maternal and but but 198 00:09:08,509 --> 00:09:05,879 what we did but mentor proteomic reveal 199 00:09:09,769 --> 00:09:08,519 does I was that it was responsible for 200 00:09:11,509 --> 00:09:09,779 seventy-three percent of all the 201 00:09:13,790 --> 00:09:11,519 peptides that we found which means that 202 00:09:16,460 --> 00:09:13,800 even though we didn't really thought 203 00:09:17,960 --> 00:09:16,470 that this was a the most predominant or 204 00:09:20,299 --> 00:09:17,970 dominant member of the community based 205 00:09:23,299 --> 00:09:20,309 on that one genetic marker it was the 206 00:09:26,989 --> 00:09:23,309 most active and the rest of the DNA was 207 00:09:29,239 --> 00:09:26,999 probably from dead cells or or by us 208 00:09:31,280 --> 00:09:29,249 from the PCR or the method itself that 209 00:09:35,239 --> 00:09:31,290 bias is is bias depending on how many 210 00:09:36,530 --> 00:09:35,249 copies of that 16s RNA gene you have so 211 00:09:39,110 --> 00:09:36,540 then we I'm not going to go into a 212 00:09:41,929 --> 00:09:39,120 detail so don't worry but we were 213 00:09:44,030 --> 00:09:41,939 curious to see what attributes what 214 00:09:49,309 --> 00:09:44,040 forms that what lifestyle this bacteria 215 00:09:51,410 --> 00:09:49,319 has and we were here is about two things 216 00:09:55,100 --> 00:09:51,420 one their ability to transform metals 217 00:09:56,329 --> 00:09:55,110 and another thing that colder attention 218 00:09:59,119 --> 00:09:56,339 was a presence of a denitrification 219 00:10:01,489 --> 00:09:59,129 pathway that was active even though we 220 00:10:04,069 --> 00:10:01,499 had hadn't added any substrate to 221 00:10:06,799 --> 00:10:04,079 express this pathway but that's another 222 00:10:09,650 --> 00:10:06,809 story but back to the multi the multi 223 00:10:12,049 --> 00:10:09,660 humid I said these type cytochromes this 224 00:10:16,759 --> 00:10:12,059 is probably a case of structure 225 00:10:20,030 --> 00:10:16,769 determines function that just heard so 226 00:10:20,900 --> 00:10:20,040 the one thing that we rarely pay 227 00:10:23,119 --> 00:10:20,910 attention to 228 00:10:24,919 --> 00:10:23,129 besides the redox potential of different 229 00:10:26,960 --> 00:10:24,929 substrates that organisms use to make 230 00:10:29,059 --> 00:10:26,970 energy one has to consider the 231 00:10:31,819 --> 00:10:29,069 availability how the organism sees it 232 00:10:33,559 --> 00:10:31,829 and how available it is to them and even 233 00:10:35,900 --> 00:10:33,569 though manganese and iron are pretty 234 00:10:40,129 --> 00:10:35,910 good electron acceptors closer to oxygen 235 00:10:41,989 --> 00:10:40,139 than sulfate and sometimes nitrate they 236 00:10:43,579 --> 00:10:41,999 are they depend on depending on the 237 00:10:46,460 --> 00:10:43,589 redox state of the metal they're going 238 00:10:47,269 --> 00:10:46,470 to be found in solid or soluble form so 239 00:10:50,799 --> 00:10:47,279 when organisms 240 00:10:54,470 --> 00:10:50,809 reduce it or oxidize it they're going to 241 00:10:56,059 --> 00:10:54,480 either find it in a in an oxide form so 242 00:10:57,619 --> 00:10:56,069 it means that they cannot get it inside 243 00:10:58,840 --> 00:10:57,629 the cell like we do with oxygen or 244 00:11:01,000 --> 00:10:58,850 nitrate 245 00:11:02,380 --> 00:11:01,010 some other organisms or they're going to 246 00:11:03,760 --> 00:11:02,390 produce an outside which means they're 247 00:11:07,030 --> 00:11:03,770 going to that is going to precipitate 248 00:11:08,710 --> 00:11:07,040 and organisms probably do not benefit 249 00:11:12,070 --> 00:11:08,720 from precipitating things inside their 250 00:11:14,170 --> 00:11:12,080 cells so in both cases whether an 251 00:11:19,000 --> 00:11:14,180 organism's organism is oxidizing or 252 00:11:21,190 --> 00:11:19,010 reducing somehow very interestingly they 253 00:11:22,630 --> 00:11:21,200 use the same type of machinery in a way 254 00:11:24,700 --> 00:11:22,640 biochemical machinery they use this 255 00:11:25,530 --> 00:11:24,710 electron conduit that is made of 256 00:11:27,850 --> 00:11:25,540 cytochromes 257 00:11:30,160 --> 00:11:27,860 in the case of metal reducers it's 258 00:11:32,440 --> 00:11:30,170 called MTR no reduction and in the case 259 00:11:34,720 --> 00:11:32,450 of mine of metal oxidizers it's called 260 00:11:38,350 --> 00:11:34,730 MTO or Pio depending on whether the 261 00:11:40,810 --> 00:11:38,360 organism is phototrophic or not so we 262 00:11:46,510 --> 00:11:40,820 saw for the first time in this type of 263 00:11:49,420 --> 00:11:46,520 species that this organism had this gene 264 00:11:52,540 --> 00:11:49,430 this conduit that all these genes were 265 00:11:54,610 --> 00:11:52,550 together in one operon and we couldn't 266 00:11:56,110 --> 00:11:54,620 find it in any other declare Moniz as 267 00:11:57,700 --> 00:11:56,120 you can see from this graph these are 268 00:11:59,800 --> 00:11:57,710 two copies if you put them in the 269 00:12:05,410 --> 00:11:59,810 contact of a tree with closer organisms 270 00:12:07,810 --> 00:12:05,420 that also have this dis conduit which is 271 00:12:09,610 --> 00:12:07,820 important because if we had just tried 272 00:12:11,530 --> 00:12:09,620 to look at the AG on its own in the math 273 00:12:12,790 --> 00:12:11,540 the complexity of the community we 274 00:12:15,490 --> 00:12:12,800 wouldn't have known it belonged to the 275 00:12:17,350 --> 00:12:15,500 determiners with the reason we know it's 276 00:12:19,480 --> 00:12:17,360 a declare - units because we mapped it 277 00:12:23,260 --> 00:12:19,490 back to the metagenomic beam that we 278 00:12:25,710 --> 00:12:23,270 obtained and this this gene and the 279 00:12:28,300 --> 00:12:25,720 architecture of this operon is also 280 00:12:30,010 --> 00:12:28,310 present in two other beta parameters 281 00:12:33,310 --> 00:12:30,020 that are uncultured so this whole branch 282 00:12:37,660 --> 00:12:33,320 here are uncultured organisms that have 283 00:12:39,550 --> 00:12:37,670 this same operon also these this conduit 284 00:12:41,950 --> 00:12:39,560 is not present in the only other declare 285 00:12:45,370 --> 00:12:41,960 ramona's that are is unknown iron metal 286 00:12:48,910 --> 00:12:45,380 oxidizer under anoxic conditions so this 287 00:12:53,560 --> 00:12:48,920 is pretty unique and new - - these novel 288 00:12:56,410 --> 00:12:53,570 species another correlated somehow 289 00:12:59,440 --> 00:12:56,420 correlated operon that was that we saw 290 00:13:03,070 --> 00:12:59,450 is this cytochrome C rich opera as you 291 00:13:05,470 --> 00:13:03,080 probably saw from other talks the 292 00:13:06,340 --> 00:13:05,480 cytochromes are really good heme groups 293 00:13:09,610 --> 00:13:06,350 are really good at transferring 294 00:13:11,460 --> 00:13:09,620 electrons so whenever we see multi heme 295 00:13:13,890 --> 00:13:11,470 cytochromes in an organism we 296 00:13:15,090 --> 00:13:13,900 typically can very confidently say that 297 00:13:16,770 --> 00:13:15,100 they're doing some sort of election 298 00:13:19,230 --> 00:13:16,780 transfer outside of the South especially 299 00:13:22,230 --> 00:13:19,240 when there are Decca hims ten teams or 300 00:13:23,880 --> 00:13:22,240 more than ten so again we saw this under 301 00:13:26,490 --> 00:13:23,890 kitchen that was present only in these 302 00:13:28,260 --> 00:13:26,500 species this new species but not there 303 00:13:30,960 --> 00:13:28,270 well at the other determiners relatives 304 00:13:32,970 --> 00:13:30,970 again present in uncultured beta 305 00:13:34,980 --> 00:13:32,980 Protectorate rota cyclase Angelina 306 00:13:38,550 --> 00:13:34,990 Nadia's which means that they must be 307 00:13:41,100 --> 00:13:38,560 doing something that we haven't figured 308 00:13:44,460 --> 00:13:41,110 out yet many as some of these that are 309 00:13:47,880 --> 00:13:44,470 cultured and that have this operon have 310 00:13:52,740 --> 00:13:47,890 also been shown to be involved in metal 311 00:13:56,940 --> 00:13:52,750 cycling and we were also surprised to 312 00:14:00,420 --> 00:13:56,950 see this is just three examples of this 313 00:14:02,670 --> 00:14:00,430 whole genome nitrous oxide reductase is 314 00:14:04,950 --> 00:14:02,680 which means that is part of the DNA 315 00:14:07,140 --> 00:14:04,960 traffic Asian pathway it's not really 316 00:14:09,960 --> 00:14:07,150 important to the story but what is 317 00:14:13,130 --> 00:14:09,970 important is that these genome this 318 00:14:16,080 --> 00:14:13,140 strain as opposed to the other ones was 319 00:14:17,820 --> 00:14:16,090 highly enriched in sensors including in 320 00:14:19,800 --> 00:14:17,830 this nitrous oxide reductase operon 321 00:14:25,620 --> 00:14:19,810 which was pretty unique compared to the 322 00:14:27,000 --> 00:14:25,630 others which means it may use the one 323 00:14:30,210 --> 00:14:27,010 thing that I did not mention is that the 324 00:14:32,100 --> 00:14:30,220 reversibility of this conduit has been 325 00:14:34,530 --> 00:14:32,110 seen in many organisms for example metal 326 00:14:36,600 --> 00:14:34,540 reducers when you can reduce also 327 00:14:38,460 --> 00:14:36,610 electrodes if you instead of a metal you 328 00:14:40,020 --> 00:14:38,470 have an electrode but depending on the 329 00:14:45,150 --> 00:14:40,030 redox potential of the electron you can 330 00:14:46,830 --> 00:14:45,160 make the electrons go back so and many 331 00:14:48,150 --> 00:14:46,840 organisms change their metabolism 332 00:14:50,190 --> 00:14:48,160 depending on the redox potential of 333 00:14:54,090 --> 00:14:50,200 their environment so the high 334 00:14:56,400 --> 00:14:54,100 concentration of redox sensors in in 335 00:14:58,620 --> 00:14:56,410 metal reduction pathways coupled to 336 00:15:01,680 --> 00:14:58,630 nitrogen it could be an indication of 337 00:15:03,600 --> 00:15:01,690 the highly versatile flexible metabolism 338 00:15:07,860 --> 00:15:03,610 of these beta Porter bacterias in these 339 00:15:10,860 --> 00:15:07,870 unique environments so I'll just wrap it 340 00:15:14,460 --> 00:15:10,870 up by saying a couple of conclusions 341 00:15:15,690 --> 00:15:14,470 from from this short story is that doing 342 00:15:17,610 --> 00:15:15,700 this enrichment and putting the 343 00:15:19,410 --> 00:15:17,620 selection pressure allowed us to magnify 344 00:15:21,960 --> 00:15:19,420 the existence of this novel conduit 345 00:15:23,000 --> 00:15:21,970 which we will have seen by targeting the 346 00:15:28,010 --> 00:15:23,010 whole 347 00:15:30,350 --> 00:15:28,020 in situ even because the concentration 348 00:15:34,790 --> 00:15:30,360 of this population was very small the 349 00:15:36,770 --> 00:15:34,800 abundance at the same time because we 350 00:15:38,870 --> 00:15:36,780 enrich we were able to capture a genome 351 00:15:42,590 --> 00:15:38,880 by genomic meaning and that constraints 352 00:15:44,810 --> 00:15:42,600 how who we assigned this dysfunction to 353 00:15:47,980 --> 00:15:44,820 if we had just looked at a bunch of 354 00:15:51,260 --> 00:15:47,990 genes from the from the public from the 355 00:15:52,880 --> 00:15:51,270 community in situ we would have probably 356 00:15:54,920 --> 00:15:52,890 mapped it to one of different completely 357 00:15:56,330 --> 00:15:54,930 different species but now here we have 358 00:15:58,190 --> 00:15:56,340 it in the concept context of a whole 359 00:15:59,870 --> 00:15:58,200 organism and that's what we're looking 360 00:16:03,500 --> 00:15:59,880 for we're trying to understand the 361 00:16:05,300 --> 00:16:03,510 evolution of organisms big and this 362 00:16:07,370 --> 00:16:05,310 probably is the product of lateral gene 363 00:16:10,160 --> 00:16:07,380 transfer but we were able to map it 364 00:16:14,240 --> 00:16:10,170 straight on to these one species and 365 00:16:17,420 --> 00:16:14,250 also thanks to my proteomics and meta 366 00:16:19,940 --> 00:16:17,430 meta genomics we can see that this whole 367 00:16:21,410 --> 00:16:19,950 opera not just one particular gene but 368 00:16:23,150 --> 00:16:21,420 different operands we could see them 369 00:16:26,240 --> 00:16:23,160 again expressed on different samples 370 00:16:27,890 --> 00:16:26,250 from different locations so now even 371 00:16:29,870 --> 00:16:27,900 though we were not able to isolate one 372 00:16:31,670 --> 00:16:29,880 species we can collect all this 373 00:16:35,630 --> 00:16:31,680 information and perhaps that will guide 374 00:16:37,580 --> 00:16:35,640 us to further efforts in isolation or 375 00:16:40,550 --> 00:16:37,590 understanding what can they be doing as 376 00:16:42,980 --> 00:16:40,560 opposed to having one single cell in the 377 00:16:45,740 --> 00:16:42,990 lab and I'm still working on trying to 378 00:16:47,710 --> 00:16:45,750 isolate this beta protect area too 379 00:16:50,090 --> 00:16:47,720 because we do need to characterize 380 00:16:54,140 --> 00:16:50,100 biochemically everything that we see 381 00:16:56,870 --> 00:16:54,150 from our meta proteome original and I 382 00:16:58,670 --> 00:16:56,880 also would like to thank the full 383 00:17:00,320 --> 00:16:58,680 astrobiology community it's very 384 00:17:04,430 --> 00:17:00,330 inspiring to be here and listening to 385 00:17:06,380 --> 00:17:04,440 all it talks and Jen glasses lab but 386 00:17:07,670 --> 00:17:06,390 also other mentors that I've been having 387 00:17:10,819 --> 00:17:07,680 for the past two years like Chris