1 00:00:00,240 --> 00:00:10,839 [Music] 2 00:00:16,100 --> 00:00:12,890 hi good morning 3 00:00:18,260 --> 00:00:16,110 I'm a little nervous wolf because I'm 4 00:00:21,500 --> 00:00:18,270 Brazilian so English is not my mother 5 00:00:24,080 --> 00:00:21,510 language and also because I'm talking 6 00:00:29,090 --> 00:00:24,090 about other philic in the Salt Lake City 7 00:00:31,280 --> 00:00:29,100 it's kind of funny yeah okay sorry and 8 00:00:33,470 --> 00:00:31,290 the title of this presentation is 9 00:00:38,450 --> 00:00:33,480 understanding the bio space large-scale 10 00:00:40,759 --> 00:00:38,460 survey sorry in classifications of 11 00:00:44,090 --> 00:00:40,769 aliphatic microorganisms my name is ana 12 00:00:45,889 --> 00:00:44,100 paula Cabo and I'm from the Institute of 13 00:00:51,139 --> 00:00:45,899 chemistry in University of Sao Paulo in 14 00:00:55,399 --> 00:00:51,149 Brazil so I'm trying to introduce why 15 00:01:00,079 --> 00:00:55,409 this I started doing this survey I'm 16 00:01:02,899 --> 00:01:00,089 doing my PhD now and in this topic in 17 00:01:07,910 --> 00:01:02,909 your sphere that is the studies like the 18 00:01:12,250 --> 00:01:07,920 interaction of microorganisms with the 19 00:01:15,470 --> 00:01:12,260 earth and I work and make my 20 00:01:18,140 --> 00:01:15,480 experimental part of the project that I 21 00:01:19,490 --> 00:01:18,150 try to do like I delay I'll offer a low 22 00:01:22,430 --> 00:01:19,500 files and ready to learn 23 00:01:26,660 --> 00:01:22,440 from Brazilian soil like a Martian 24 00:01:28,430 --> 00:01:26,670 analog but also I'm doing this I'm 25 00:01:29,900 --> 00:01:28,440 trying to understand more above the 26 00:01:31,940 --> 00:01:29,910 other files and haja tolerance 27 00:01:34,580 --> 00:01:31,950 throughout the Tree of Life and trying 28 00:01:39,440 --> 00:01:34,590 to understand what our tolerance is a 29 00:01:44,720 --> 00:01:39,450 whole and I mean what do you know about 30 00:01:47,110 --> 00:01:44,730 these organisms like big picture so this 31 00:01:49,760 --> 00:01:47,120 is the part I'm going to talk about and 32 00:01:53,480 --> 00:01:49,770 just started the role if you know what 33 00:01:55,060 --> 00:01:53,490 is my space so the definition is a set 34 00:02:00,530 --> 00:01:55,070 of physical chemists and chemical 35 00:02:03,260 --> 00:02:00,540 conditions in which I can thrive so you 36 00:02:07,100 --> 00:02:03,270 have like a lot of these extremes that 37 00:02:09,139 --> 00:02:07,110 lisette's told us to and you have life 38 00:02:12,349 --> 00:02:09,149 until the limit here in all these 39 00:02:13,850 --> 00:02:12,359 extremes in in the meso fire condition 40 00:02:16,880 --> 00:02:13,860 that is not X 41 00:02:20,210 --> 00:02:16,890 in any sense you have more diversity and 42 00:02:23,270 --> 00:02:20,220 you have like microorganisms and all the 43 00:02:25,520 --> 00:02:23,280 animals of plants on other stuff and in 44 00:02:28,520 --> 00:02:25,530 the borders here you have more 45 00:02:32,810 --> 00:02:28,530 microorganisms living and also is the 46 00:02:36,080 --> 00:02:32,820 less diversity this is very interesting 47 00:02:40,310 --> 00:02:36,090 for us or biology because we can we know 48 00:02:42,710 --> 00:02:40,320 the buyer space of Earth we know the 49 00:02:45,199 --> 00:02:42,720 labors of life an orphan that's what we 50 00:02:49,100 --> 00:02:45,209 do with thermo files and we can compare 51 00:02:52,000 --> 00:02:49,110 these by space with other planetary 52 00:02:56,960 --> 00:02:52,010 bodies and moons so it's a very powerful 53 00:03:01,940 --> 00:02:56,970 tool for finding good places to look for 54 00:03:04,460 --> 00:03:01,950 life in the universe so for that the 55 00:03:06,260 --> 00:03:04,470 itsumo files are very interesting 56 00:03:08,630 --> 00:03:06,270 because we define the limits of the 57 00:03:11,810 --> 00:03:08,640 buyer space I'm not talking about that 58 00:03:14,540 --> 00:03:11,820 because it will be too much again and 59 00:03:17,420 --> 00:03:14,550 again but I have a lot of conditions and 60 00:03:21,680 --> 00:03:17,430 we can see the limits of life and we can 61 00:03:24,620 --> 00:03:21,690 think of survival on other planets I'm 62 00:03:27,440 --> 00:03:24,630 talking specifically specifically about 63 00:03:32,810 --> 00:03:27,450 Allah files that are the stop loving 64 00:03:36,170 --> 00:03:32,820 organisms on earth the tribe oceans 65 00:03:40,220 --> 00:03:36,180 lakes seas like something rates up like 66 00:03:43,100 --> 00:03:40,230 soil deserts and food especially food 67 00:03:46,670 --> 00:03:43,110 we've the they use salt for conservation 68 00:03:50,860 --> 00:03:46,680 and that's kind of normal so here's the 69 00:03:53,570 --> 00:03:50,870 Dead Sea that is like one of the first 70 00:03:56,690 --> 00:03:53,580 environments hyper silent environments 71 00:03:59,000 --> 00:03:56,700 and also this joke ow I don't know if 72 00:04:01,580 --> 00:03:59,010 I'm talking speaking sprite but is a 73 00:04:05,990 --> 00:04:01,590 Korean food that have a lot of South 74 00:04:09,080 --> 00:04:06,000 it's a like seafood and they had like 75 00:04:13,270 --> 00:04:09,090 more than ten microorganisms aliphatic 76 00:04:15,830 --> 00:04:13,280 microorganisms isolated from this food 77 00:04:18,590 --> 00:04:15,840 but anything in the solar system 78 00:04:20,630 --> 00:04:18,600 you have also very interesting things 79 00:04:24,440 --> 00:04:20,640 like Mars 80 00:04:27,680 --> 00:04:24,450 you have brines and reached south reach 81 00:04:30,550 --> 00:04:27,690 soil so weaving 82 00:04:37,150 --> 00:04:30,560 our files will be interesting to look at 83 00:04:42,770 --> 00:04:40,490 they are very diverse our files are very 84 00:04:45,680 --> 00:04:42,780 diverse they are present all three 85 00:04:48,830 --> 00:04:45,690 branches of life I think it's really 86 00:04:50,810 --> 00:04:48,840 funny because it was the same image that 87 00:04:54,290 --> 00:04:50,820 was that presented in the warm not to 88 00:04:57,440 --> 00:04:54,300 warm up talk and I want to really 89 00:05:00,770 --> 00:04:57,450 emphasize that they are polyphyletic so 90 00:05:03,710 --> 00:05:00,780 it evolved independently many in many 91 00:05:06,530 --> 00:05:03,720 times through the tree of life and they 92 00:05:10,760 --> 00:05:06,540 are various different mechanisms for the 93 00:05:14,930 --> 00:05:10,770 resistance so I think it's I think he 94 00:05:19,370 --> 00:05:14,940 thinks it will be important later they'd 95 00:05:24,710 --> 00:05:19,380 like to highlight these because people 96 00:05:26,900 --> 00:05:24,720 always are safe but always think that 97 00:05:30,290 --> 00:05:26,910 archaea are the historical files and 98 00:05:33,580 --> 00:05:30,300 ikea RDL files all the elephant's 99 00:05:36,350 --> 00:05:33,590 archaea but let's not rule we have 100 00:05:39,950 --> 00:05:36,360 actually the most part of alle files 101 00:05:43,340 --> 00:05:39,960 that we'd have described it are bacteria 102 00:05:46,690 --> 00:05:43,350 and i'm gonna show some interesting 103 00:05:53,659 --> 00:05:49,430 so this is a three or five point like 104 00:05:55,490 --> 00:05:53,669 more to think and has another i think 105 00:05:57,740 --> 00:05:55,500 it's very interesting information in 106 00:06:00,860 --> 00:05:57,750 here because you see that okay and 107 00:06:03,800 --> 00:06:00,870 archaea the in bacteria here but 108 00:06:07,490 --> 00:06:03,810 actually we know that this branch is 109 00:06:10,940 --> 00:06:07,500 almost as big as bacteria but we don't 110 00:06:14,659 --> 00:06:10,950 know as much as Archaean apparent as we 111 00:06:21,860 --> 00:06:14,669 know bacteria so this is a great bias in 112 00:06:23,690 --> 00:06:21,870 our data so again just to remember there 113 00:06:26,000 --> 00:06:23,700 is a classification for the other files 114 00:06:28,760 --> 00:06:26,010 depending on the salt concentration 115 00:06:33,530 --> 00:06:28,770 there is the tolerance they leave less 116 00:06:37,010 --> 00:06:33,540 than 0.2 molar and that's like moderate 117 00:06:39,420 --> 00:06:37,020 and extreme this was proposed like i 118 00:06:43,320 --> 00:06:39,430 think in the nineties when i'm not sure 119 00:06:48,029 --> 00:06:43,330 and ever since people are using this 120 00:06:51,990 --> 00:06:48,039 classification so the large-scale survey 121 00:06:54,450 --> 00:06:52,000 that I did was look for Allah files in 122 00:06:56,390 --> 00:06:54,460 the literature I searched for Allah 123 00:06:59,879 --> 00:06:56,400 philic in the International micro 124 00:07:02,510 --> 00:06:59,889 microbiology Society website and look 125 00:07:05,340 --> 00:07:02,520 for the papers that they had about that 126 00:07:08,070 --> 00:07:05,350 so I'm starting and not finished yet 127 00:07:10,529 --> 00:07:08,080 with the survey because I have to read 128 00:07:12,950 --> 00:07:10,539 all the papers to see the optimum growth 129 00:07:19,320 --> 00:07:12,960 and all those things so a lot of work I 130 00:07:23,820 --> 00:07:19,330 kind of starting my PhD so I had 3m 391 131 00:07:25,860 --> 00:07:23,830 papers and the information for all the 132 00:07:30,360 --> 00:07:25,870 threads are going to do they're going to 133 00:07:36,200 --> 00:07:30,370 be like fifties so I found on a some 134 00:07:39,140 --> 00:07:36,210 problems many papers they call the 135 00:07:42,900 --> 00:07:39,150 organisms out of files but they don't 136 00:07:45,540 --> 00:07:42,910 describe the the South concentration 137 00:07:50,939 --> 00:07:45,550 like they use total sows or cysts out 138 00:07:52,740 --> 00:07:50,949 and not and yes in HCL and there are 139 00:07:54,450 --> 00:07:52,750 many with incomplete description like 140 00:07:58,170 --> 00:07:54,460 they have the optimum but now the 141 00:08:03,510 --> 00:07:58,180 survival range or things like that so 142 00:08:07,640 --> 00:08:03,520 well of these we have for the optimum 143 00:08:10,680 --> 00:08:07,650 growth they have just three three three 144 00:08:15,020 --> 00:08:10,690 hundred thirty and for the survival 145 00:08:22,279 --> 00:08:18,899 so here is the histogram of all this 146 00:08:26,430 --> 00:08:22,289 information as you see we have three 147 00:08:28,920 --> 00:08:26,440 very distinct peaks with the three 148 00:08:31,200 --> 00:08:28,930 domains which is very interesting I 149 00:08:34,199 --> 00:08:31,210 think because they are really separated 150 00:08:36,769 --> 00:08:34,209 only here they archaea that have a 151 00:08:44,460 --> 00:08:36,779 little peak here but the other ones like 152 00:08:47,579 --> 00:08:44,470 just one one little range of salt that 153 00:08:50,130 --> 00:08:47,589 they do there are no growth at least in 154 00:08:53,310 --> 00:08:50,140 the literature so here you see they 155 00:08:56,769 --> 00:08:53,320 archaea that everyone thinks they are 156 00:08:58,420 --> 00:08:56,779 extremophiles and gravely Alafia yeah 157 00:09:01,900 --> 00:08:58,430 they are here in high salt 158 00:09:04,329 --> 00:09:01,910 concentrations but we see I think it's 159 00:09:08,730 --> 00:09:04,339 very interesting that the bacteria they 160 00:09:14,650 --> 00:09:08,740 are the optimum growth of them in like 161 00:09:17,590 --> 00:09:14,660 it appears more to the left here so it's 162 00:09:21,220 --> 00:09:17,600 lower self concentration than the okay 163 00:09:22,960 --> 00:09:21,230 idea other fires it's not what we use of 164 00:09:28,050 --> 00:09:22,970 the things because we don't actually 165 00:09:30,970 --> 00:09:28,060 look for much Alafaya dakari oats so 166 00:09:38,259 --> 00:09:30,980 kind of weird I don't know I thought it 167 00:09:39,819 --> 00:09:38,269 was very strange and here are the lines 168 00:09:42,550 --> 00:09:39,829 that are the concentrations for the 169 00:09:47,290 --> 00:09:42,560 classification I just said so here would 170 00:09:50,889 --> 00:09:47,300 be the slide moderate and extreme and I 171 00:09:53,500 --> 00:09:50,899 love files and with these see like most 172 00:09:57,460 --> 00:09:53,510 bacteria would be like slightly 173 00:09:59,800 --> 00:09:57,470 elephants and most archaea yolk area 174 00:10:03,160 --> 00:09:59,810 would be moderate Alafia and most 175 00:10:05,019 --> 00:10:03,170 archaea would be extreme Iowa files but 176 00:10:08,230 --> 00:10:05,029 we know that's not actually true 177 00:10:12,670 --> 00:10:08,240 we have much bacteria living in hyper 178 00:10:16,290 --> 00:10:12,680 selling environments so maybe it's a 179 00:10:19,150 --> 00:10:16,300 bias on what we are calling as a feeling 180 00:10:21,550 --> 00:10:19,160 bacteria or care what we are calling 181 00:10:27,610 --> 00:10:21,560 what we're you we are looking for 182 00:10:30,090 --> 00:10:27,620 bacteria or archaea so I think all the 183 00:10:33,970 --> 00:10:30,100 other feel like okay it's a moderate I 184 00:10:39,040 --> 00:10:33,980 don't know it's it's weird because he's 185 00:10:43,630 --> 00:10:39,050 here's a microalgae and it's study as a 186 00:10:46,300 --> 00:10:43,640 model organism for extremely Alafaya but 187 00:10:51,610 --> 00:10:46,310 it comes here in this classification as 188 00:10:54,600 --> 00:10:51,620 a moderate but I don't know I think it's 189 00:10:58,060 --> 00:10:54,610 I always I think it's really 190 00:11:01,090 --> 00:10:58,070 inconsistent the the information is 191 00:11:03,760 --> 00:11:01,100 inconsistent so I did the same thing 192 00:11:04,850 --> 00:11:03,770 with the survival range and obviously 193 00:11:17,570 --> 00:11:04,860 the 194 00:11:21,680 --> 00:11:17,580 concentration so if we compare that in a 195 00:11:23,509 --> 00:11:21,690 box what we see the its we couldn't 196 00:11:25,910 --> 00:11:23,519 compare this yeah okay the survival 197 00:11:29,030 --> 00:11:25,920 range is wider than the optimal growth 198 00:11:32,180 --> 00:11:29,040 that's expected and you know here see 199 00:11:34,579 --> 00:11:32,190 very clearly that in the the optimum 200 00:11:38,630 --> 00:11:34,589 growth in the survival range the Archaea 201 00:11:44,930 --> 00:11:38,640 are very high concentrations and back to 202 00:11:48,620 --> 00:11:44,940 your very low so some things I want to 203 00:11:54,319 --> 00:11:48,630 discuss is the historical bias of that 204 00:11:59,630 --> 00:11:54,329 because we have known bacteria for a lot 205 00:12:00,230 --> 00:11:59,640 of the time like and I hear not that 206 00:12:03,980 --> 00:12:00,240 much 207 00:12:07,400 --> 00:12:03,990 so the first contact was a hundred years 208 00:12:11,300 --> 00:12:07,410 later then with the first bacteria but 209 00:12:14,780 --> 00:12:11,310 we just started thinking of archaea as a 210 00:12:19,639 --> 00:12:14,790 different group from bacteria at last 211 00:12:21,800 --> 00:12:19,649 century so it's almost yesterday and the 212 00:12:26,900 --> 00:12:21,810 separation between these domains was 213 00:12:31,819 --> 00:12:26,910 with booze in the 90s so it's literally 214 00:12:36,530 --> 00:12:31,829 yesterday for the biology and so we 215 00:12:38,930 --> 00:12:36,540 studied much you said much bacteria and 216 00:12:42,350 --> 00:12:38,940 we know so much about them they living 217 00:12:45,199 --> 00:12:42,360 them as pathogens we are always using 218 00:12:48,350 --> 00:12:45,209 them and we know how to cultivate them 219 00:12:50,930 --> 00:12:48,360 and we don't in you know so you know of 220 00:12:53,720 --> 00:12:50,940 about archaea and we don't know how to 221 00:12:55,670 --> 00:12:53,730 cultivate them it's much more difficult 222 00:12:58,040 --> 00:12:55,680 to cultivate them we don't have the lab 223 00:13:01,850 --> 00:12:58,050 techniques we just don't know about that 224 00:13:06,680 --> 00:13:01,860 we can't deal with them so I think this 225 00:13:08,840 --> 00:13:06,690 is important historical bias for that 226 00:13:13,569 --> 00:13:08,850 information that we have about our files 227 00:13:18,519 --> 00:13:13,579 and another thing that is I think it's 228 00:13:24,439 --> 00:13:18,529 very much important like 229 00:13:28,910 --> 00:13:24,449 almost most unreasonable I think my 230 00:13:33,009 --> 00:13:28,920 hypothesis that people look for external 231 00:13:37,040 --> 00:13:33,019 fire Arceus because the first archaea 232 00:13:39,620 --> 00:13:37,050 discovered as I reckon archaea birthday 233 00:13:40,490 --> 00:13:39,630 was discovered in Yellowstone as a hyper 234 00:13:45,170 --> 00:13:40,500 terrified 235 00:13:49,569 --> 00:13:45,180 so since them since then we only search 236 00:13:53,660 --> 00:13:49,579 for IKEA in extremophiles environments 237 00:13:56,689 --> 00:13:53,670 so now we know that our tears are also 238 00:13:59,960 --> 00:13:56,699 in other places like in as a file and 239 00:14:02,150 --> 00:13:59,970 our stomach you know the places that we 240 00:14:06,550 --> 00:14:02,160 know that bacteria are but we just don't 241 00:14:11,930 --> 00:14:06,560 look for them in this places and this is 242 00:14:14,629 --> 00:14:11,940 twisting the the form we look to the bio 243 00:14:16,610 --> 00:14:14,639 space to signa form we know we are 244 00:14:18,530 --> 00:14:16,620 studying the alle files and not only the 245 00:14:21,980 --> 00:14:18,540 alibis I think this is the data I have 246 00:14:25,970 --> 00:14:21,990 but I think this goes on for a set of 247 00:14:27,610 --> 00:14:25,980 philic microorganisms and I don't know 248 00:14:30,530 --> 00:14:27,620 maybe even 249 00:14:35,259 --> 00:14:30,540 hyperthermophiles or by some secret 250 00:14:38,300 --> 00:14:35,269 files so we have to be very careful when 251 00:14:42,019 --> 00:14:38,310 what we are looking for and not to be 252 00:14:46,370 --> 00:14:42,029 like prejudiced about archaea or 253 00:14:49,429 --> 00:14:46,380 bacteria and actually see what's going 254 00:14:52,069 --> 00:14:49,439 on there and try to learn more about 255 00:14:56,929 --> 00:14:52,079 that here to know how to treat them and 256 00:14:59,720 --> 00:14:56,939 how to cultivate them so the 257 00:15:04,400 --> 00:14:59,730 consequences I think it's it's very 258 00:15:06,470 --> 00:15:04,410 disturbing for me I don't know if we 259 00:15:09,860 --> 00:15:06,480 have so much information about all of us 260 00:15:12,710 --> 00:15:09,870 as I think we have and how this 261 00:15:15,889 --> 00:15:12,720 information is biased information are 262 00:15:18,650 --> 00:15:15,899 twisting the limits of life are we 263 00:15:22,850 --> 00:15:18,660 losing some some more extremophiles 264 00:15:25,370 --> 00:15:22,860 limits of extremophiles are the limits 265 00:15:27,500 --> 00:15:25,380 are the boundaries of the bio space are 266 00:15:30,430 --> 00:15:27,510 further away and we just don't know 267 00:15:33,100 --> 00:15:30,440 because we are looking wrong word 268 00:15:37,980 --> 00:15:33,110 looking for the wrong microorganisms and 269 00:15:40,300 --> 00:15:37,990 we just don't see it and how these bias 270 00:15:43,180 --> 00:15:40,310 changes the understanding that we have 271 00:15:46,300 --> 00:15:43,190 about the life as a process because we 272 00:15:51,759 --> 00:15:46,310 have this prejudice in this we can twist 273 00:15:55,179 --> 00:15:51,769 a twist I see life as a whole and this 274 00:15:56,889 --> 00:15:55,189 is very disturbing for me and how this 275 00:16:00,639 --> 00:15:56,899 impacted is search of life on other 276 00:16:04,540 --> 00:16:00,649 planets also because of the bias pays 277 00:16:07,389 --> 00:16:04,550 the the awkward's BioSpace that have now 278 00:16:11,800 --> 00:16:07,399 so I don't know for me it's there this 279 00:16:15,040 --> 00:16:11,810 disturb me so that's it I'd like to 280 00:16:20,160 --> 00:16:15,050 thank you my uber thorium the University 281 00:16:32,939 --> 00:16:20,170 all the funding and Patience's and I 282 00:16:41,999 --> 00:16:37,269 thought just out of curiosity earlier 283 00:16:48,519 --> 00:16:44,559 relatively common salts like calcium 284 00:16:51,300 --> 00:16:48,529 sulfate usually that's interesting yeah 285 00:16:55,929 --> 00:16:51,310 some would definitely probably have more 286 00:16:59,230 --> 00:16:55,939 yeah yeah yeah actually these other 287 00:17:02,259 --> 00:16:59,240 salts usually appear just on archaea 288 00:17:05,500 --> 00:17:02,269 that's interesting as well not in 289 00:17:12,029 --> 00:17:05,510 bacteria and only recently the most 290 00:17:15,039 --> 00:17:12,039 recent papers not ancient one thank you 291 00:17:16,480 --> 00:17:15,049 great talk I was wondering if you could 292 00:17:17,799 --> 00:17:16,490 comment a bit on the different 293 00:17:22,359 --> 00:17:17,809 distributions 294 00:17:29,889 --> 00:17:22,369 you carry a bacteria why bacteria seem 295 00:17:33,940 --> 00:17:29,899 just it's so much yeah no sorry 296 00:17:37,930 --> 00:17:33,950 um why's bacteria like span the whole 297 00:17:41,529 --> 00:17:37,940 range and yeah because if you i feel go 298 00:17:43,989 --> 00:17:41,539 here in the box but you see that we have 299 00:17:47,169 --> 00:17:43,999 bacteria really high we know there are 300 00:17:50,349 --> 00:17:47,179 extremely other files bacteria living in 301 00:17:53,019 --> 00:17:50,359 like salt rocks with very low water 302 00:17:55,060 --> 00:17:53,029 activity so we know that bacteria can 303 00:17:59,019 --> 00:17:55,070 grow in all the environments that i've 304 00:18:02,859 --> 00:17:59,029 kyoto and grow like everyone that 305 00:18:05,619 --> 00:18:02,869 studies my files know the aloe archaea 306 00:18:09,219 --> 00:18:05,629 group but they back tears can leave just 307 00:18:14,079 --> 00:18:09,229 in the same environment but we look for 308 00:18:17,200 --> 00:18:14,089 bacteria in less south because because 309 00:18:19,839 --> 00:18:17,210 we look for bacteria near of us when we 310 00:18:23,349 --> 00:18:19,849 don't look for a cure of us we just look 311 00:18:27,579 --> 00:18:23,359 for a cure in extreme environments so I 312 00:18:29,799 --> 00:18:27,589 think this engagement here is actually 313 00:18:33,159 --> 00:18:29,809 because we were missing their key is 314 00:18:36,459 --> 00:18:33,169 here not because they are not bacterias 315 00:18:38,139 --> 00:18:36,469 here as well so you think it's the whole 316 00:18:45,190 --> 00:18:38,149 distribution you see is just a selection 317 00:18:52,090 --> 00:18:47,680 hey thank you for inspiring us all to 318 00:18:53,380 --> 00:18:52,100 read more Patriots I just carry since 319 00:18:55,660 --> 00:18:53,390 you did such an extensive literature 320 00:18:57,850 --> 00:18:55,670 here did you come across this kind of 321 00:18:59,890 --> 00:18:57,860 off-the-wall questions but like viruses 322 00:19:02,740 --> 00:18:59,900 predation on the bacteria or the 323 00:19:04,960 --> 00:19:02,750 halophiles in general I dunno that's 324 00:19:07,930 --> 00:19:04,970 thanks what are their like viruses 325 00:19:10,120 --> 00:19:07,940 present these extreme salty environments 326 00:19:18,910 --> 00:19:10,130 as well yeah I didn't look for it 327 00:19:21,840 --> 00:19:18,920 I asked you thank you oh this is a 328 00:19:25,540 --> 00:19:21,850 question more so as a comment okay um 329 00:19:27,190 --> 00:19:25,550 but so I also do some hella philic 330 00:19:29,440 --> 00:19:27,200 research on the Bonneville Salt Flats 331 00:19:31,600 --> 00:19:29,450 which is not the Great Salt Lake but 332 00:19:32,530 --> 00:19:31,610 sort of kind of tied in there with the 333 00:19:35,410 --> 00:19:32,540 Great Salt Lake a little bit because 334 00:19:36,760 --> 00:19:35,420 they're in a similar area but thought it 335 00:19:38,650 --> 00:19:36,770 was really interesting that you know 336 00:19:41,560 --> 00:19:38,660 that everybody always focuses on the 337 00:19:43,360 --> 00:19:41,570 hill archaea cuz you know you like who's 338 00:19:45,790 --> 00:19:43,370 writing my paper and yeah there's a ton 339 00:19:46,750 --> 00:19:45,800 mention about the hell are ya but one of 340 00:19:48,610 --> 00:19:46,760 the interesting things is they're all 341 00:19:50,620 --> 00:19:48,620 heterotrophic so like they have to be 342 00:19:52,630 --> 00:19:50,630 having somebody else making their food 343 00:19:54,190 --> 00:19:52,640 yeah and that's usually this algae I 344 00:19:59,200 --> 00:19:54,200 think that you mentioned is Joann Ellis 345 00:20:03,010 --> 00:19:59,210 oh yeah years that are a little files so 346 00:20:05,770 --> 00:20:03,020 yeah it's very interesting yeah and so I 347 00:20:07,720 --> 00:20:05,780 just yeah I really liked that you kind 348 00:20:09,160 --> 00:20:07,730 of like highlighted that the bacteria 349 00:20:12,760 --> 00:20:09,170 are really important in these ecosystems 350 00:20:15,610 --> 00:20:12,770 and that they're there I also noted in 351 00:20:17,410 --> 00:20:15,620 my own sort of I don't know if is your 352 00:20:19,270 --> 00:20:17,420 literature review that a lot of the 353 00:20:21,460 --> 00:20:19,280 sequencing methods for these things they 354 00:20:22,840 --> 00:20:21,470 just did like a really baseline 16s 355 00:20:25,690 --> 00:20:22,850 sequencing and it wasn't really deep 356 00:20:27,250 --> 00:20:25,700 enough to capture a good spread of the 357 00:20:30,810 --> 00:20:27,260 communities so I think you're absolutely 358 00:20:34,330 --> 00:20:30,820 right that we are missing a lot of these 359 00:20:36,580 --> 00:20:34,340 out there and even the sequencing we are 360 00:20:39,840 --> 00:20:36,590 much better as sequencing bacteria than 361 00:20:43,050 --> 00:20:39,850 we are referre Kea so probably we are 362 00:20:47,470 --> 00:20:43,060 missing much more they are keying this 363 00:20:49,330 --> 00:20:47,480 not so so so good sequencing 364 00:20:52,720 --> 00:20:49,340 environments or sequencing then we are 365 00:20:55,610 --> 00:20:52,730 missing bacteria so yeah I think it's 366 00:21:01,110 --> 00:20:58,080 okay if there are no further questions