1 00:00:04,230 --> 00:00:11,110 [Music] 2 00:00:16,790 --> 00:00:14,870 hi everyone I'm Emily and I'm a PhD 3 00:00:19,130 --> 00:00:16,800 candidate in the DECA slab at Stanford 4 00:00:22,550 --> 00:00:19,140 University and I study the limits of 5 00:00:24,890 --> 00:00:22,560 life in hyper saline environments 6 00:00:26,390 --> 00:00:24,900 so as we all probably know Brian's are 7 00:00:28,609 --> 00:00:26,400 one of the targets for a life detection 8 00:00:31,130 --> 00:00:28,619 mission to other ocean worlds including 9 00:00:33,830 --> 00:00:31,140 Europa and Enceladus and even past ocean 10 00:00:36,530 --> 00:00:33,840 worlds like Mars and so by understanding 11 00:00:38,870 --> 00:00:36,540 the limits of salty life on Earth we can 12 00:00:41,410 --> 00:00:38,880 understand how and where to look for 13 00:00:43,970 --> 00:00:41,420 life on these other places 14 00:00:45,470 --> 00:00:43,980 one of the ways we can assess a brine 15 00:00:48,110 --> 00:00:45,480 environment is through this measurement 16 00:00:49,850 --> 00:00:48,120 called water activity and water activity 17 00:00:51,950 --> 00:00:49,860 depends on vapor pressure but you can 18 00:00:54,170 --> 00:00:51,960 think of it about as how many water 19 00:00:56,630 --> 00:00:54,180 molecules are available to a cell in 20 00:00:58,250 --> 00:00:56,640 solution so on the left is an image of 21 00:01:00,350 --> 00:00:58,260 what pure water would be this is where 22 00:01:02,330 --> 00:01:00,360 all the water molecules are free to 23 00:01:04,789 --> 00:01:02,340 become Vapor move about the cabin that 24 00:01:07,310 --> 00:01:04,799 would be a water activity of one 25 00:01:09,230 --> 00:01:07,320 now if there's ions in solution water 26 00:01:11,630 --> 00:01:09,240 would be attracted to those molecules 27 00:01:13,390 --> 00:01:11,640 and a water activity would decrease so 28 00:01:16,250 --> 00:01:13,400 the lower the water activity the more 29 00:01:18,350 --> 00:01:16,260 uninhabitable an environment is 30 00:01:20,510 --> 00:01:18,360 and since water is required for all Life 31 00:01:23,690 --> 00:01:20,520 as We Know It water activity can be used 32 00:01:25,969 --> 00:01:23,700 to assess assess habitability so some 33 00:01:27,710 --> 00:01:25,979 common items in their water activities 34 00:01:28,969 --> 00:01:27,720 are listed on the left including sea 35 00:01:31,070 --> 00:01:28,979 water which has a pretty high water 36 00:01:33,050 --> 00:01:31,080 activity and the salinity of seawater is 37 00:01:34,670 --> 00:01:33,060 about 3.5 percent 38 00:01:37,130 --> 00:01:34,680 and then honey has a water activity of 39 00:01:39,649 --> 00:01:37,140 0.6 and some of Mars special regions or 40 00:01:42,950 --> 00:01:39,659 areas where we might detect life on Mars 41 00:01:44,749 --> 00:01:42,960 are in no lower than 0.5 42 00:01:47,090 --> 00:01:44,759 and there's been a lot of really great 43 00:01:49,730 --> 00:01:47,100 pure culture work on the limits of life 44 00:01:52,010 --> 00:01:49,740 and cell division at different water 45 00:01:54,050 --> 00:01:52,020 activities and to sum it up the 46 00:01:55,850 --> 00:01:54,060 predicted or theoretical water activity 47 00:01:58,310 --> 00:01:55,860 limit for all life on Earth including 48 00:02:00,710 --> 00:01:58,320 eukaryotes and prokaryotes is about 0.6 49 00:02:02,929 --> 00:02:00,720 and this is based on pure culture so 50 00:02:04,730 --> 00:02:02,939 like our speaker last night mentioned 51 00:02:06,649 --> 00:02:04,740 not all the things in the world are in 52 00:02:09,229 --> 00:02:06,659 pure culture yet so that leaves out 53 00:02:11,570 --> 00:02:09,239 about 90 or more of the biodiversity on 54 00:02:13,010 --> 00:02:11,580 Earth and our ability to assess what the 55 00:02:16,910 --> 00:02:13,020 limit of life for each of those strains 56 00:02:20,869 --> 00:02:18,589 so brine environments are really 57 00:02:23,510 --> 00:02:20,879 widespread on Earth they're everywhere 58 00:02:25,850 --> 00:02:23,520 um and a lot of great work has gone into 59 00:02:27,589 --> 00:02:25,860 assessing metagenomics like the 60 00:02:29,270 --> 00:02:27,599 taxonomic diversity the potential 61 00:02:31,390 --> 00:02:29,280 metabolic metabolic potential of 62 00:02:33,350 --> 00:02:31,400 microbes in these environments 63 00:02:35,390 --> 00:02:33,360 metatranscriptomes and even some bulk 64 00:02:37,070 --> 00:02:35,400 activity measurements but metabolic 65 00:02:38,330 --> 00:02:37,080 activity is rarely measured at the 66 00:02:40,130 --> 00:02:38,340 Single Cell level 67 00:02:42,290 --> 00:02:40,140 and this can be really important because 68 00:02:44,030 --> 00:02:42,300 when a cell is stressed out they might 69 00:02:46,430 --> 00:02:44,040 have really low levels of activity that 70 00:02:47,869 --> 00:02:46,440 are not detected with both techniques 71 00:02:49,910 --> 00:02:47,879 so today I'll be talking a little bit 72 00:02:51,770 --> 00:02:49,920 about my work in solar cell turns and 73 00:02:55,630 --> 00:02:51,780 then transition into the my current work 74 00:02:58,670 --> 00:02:55,640 in Western Australia aesthetic brands 75 00:03:01,130 --> 00:02:58,680 so like I mentioned when life is 76 00:03:03,410 --> 00:03:01,140 reaching its limit a metabolic activity 77 00:03:05,449 --> 00:03:03,420 can be really low and so single cell 78 00:03:07,729 --> 00:03:05,459 analysis can help us detect the slow 79 00:03:11,149 --> 00:03:07,739 level of activity by lowering detection 80 00:03:13,130 --> 00:03:11,159 limits so a cell needs to acquire 50 new 81 00:03:15,589 --> 00:03:13,140 biomass to be able to divide into two 82 00:03:17,809 --> 00:03:15,599 new daughter cells however with Nano 83 00:03:20,270 --> 00:03:17,819 Sims for example we only need to detect 84 00:03:22,670 --> 00:03:20,280 about five percent maximum we can even 85 00:03:24,890 --> 00:03:22,680 get as low as less than one percent of 86 00:03:27,290 --> 00:03:24,900 new biomass to detect active life in a 87 00:03:29,030 --> 00:03:27,300 sample it also provides quantitative 88 00:03:31,309 --> 00:03:29,040 results so we can do a lot with this 89 00:03:33,110 --> 00:03:31,319 data on a quantitative level and it also 90 00:03:35,630 --> 00:03:33,120 reveals trends that are often obscured 91 00:03:37,309 --> 00:03:35,640 by bulk analysis 92 00:03:38,690 --> 00:03:37,319 and when I'm talking about metabolic 93 00:03:41,330 --> 00:03:38,700 activity in this talk I'm talking 94 00:03:43,070 --> 00:03:41,340 specifically about anabolic activity so 95 00:03:44,690 --> 00:03:43,080 there's catabolic activity that produces 96 00:03:46,850 --> 00:03:44,700 energy for a cell and then there's 97 00:03:48,649 --> 00:03:46,860 anabolic activity where a cell can take 98 00:03:50,990 --> 00:03:48,659 substrates from the environment like 99 00:03:53,089 --> 00:03:51,000 amino acids and glucose and take that 100 00:03:56,030 --> 00:03:53,099 carbon and nitrogen and then produce new 101 00:03:59,449 --> 00:03:56,040 cell biomass which includes proteins DNA 102 00:04:03,170 --> 00:04:01,789 so first the work that I've done at this 103 00:04:05,390 --> 00:04:03,180 um solar Salter and it's called South 104 00:04:07,850 --> 00:04:05,400 Bay saltworks it's in here in San Diego 105 00:04:10,309 --> 00:04:07,860 and basically they bring sea water in 106 00:04:12,649 --> 00:04:10,319 from San Diego Bay and it goes through a 107 00:04:14,449 --> 00:04:12,659 series of evapo concentration ponds and 108 00:04:16,310 --> 00:04:14,459 as the water evaporates out of the sea 109 00:04:18,409 --> 00:04:16,320 water different salts are left behind 110 00:04:20,990 --> 00:04:18,419 producing a series of ponds that range 111 00:04:23,090 --> 00:04:21,000 in water activity from 0.98 that of 112 00:04:25,070 --> 00:04:23,100 seawater to that well below the known 113 00:04:27,590 --> 00:04:25,080 limit of Life at 0.4 114 00:04:30,230 --> 00:04:27,600 and so we measured anabolic activity of 115 00:04:32,570 --> 00:04:30,240 over 6 000 individual cells from a 116 00:04:34,969 --> 00:04:32,580 series of five of these brines with five 117 00:04:36,890 --> 00:04:34,979 different isotopic substrates from amino 118 00:04:39,650 --> 00:04:36,900 acids ammonium and bicarbonate glucose 119 00:04:41,990 --> 00:04:39,660 and nitrate and that sort of thing 120 00:04:43,730 --> 00:04:42,000 we measured their anabolic activity with 121 00:04:46,129 --> 00:04:43,740 nano SIM so on the left this is what 122 00:04:47,870 --> 00:04:46,139 this looks like cells that are circled 123 00:04:50,629 --> 00:04:47,880 in red are considered enriched and this 124 00:04:52,310 --> 00:04:50,639 is for carbon from amino acids and then 125 00:04:54,290 --> 00:04:52,320 the cells that are circled in white 126 00:04:56,810 --> 00:04:54,300 would be considered less active or less 127 00:04:58,189 --> 00:04:56,820 enriched in the sample 128 00:05:00,710 --> 00:04:58,199 and when you plot this with water 129 00:05:02,810 --> 00:05:00,720 activity you see that microbial activity 130 00:05:05,210 --> 00:05:02,820 decreases exponentially with water 131 00:05:07,249 --> 00:05:05,220 activity however there's certain areas 132 00:05:09,350 --> 00:05:07,259 so you can 133 00:05:11,390 --> 00:05:09,360 see certain subsets of cells are more 134 00:05:13,790 --> 00:05:11,400 active than most of the cells in 135 00:05:15,650 --> 00:05:13,800 seawater at a higher water activity with 136 00:05:17,150 --> 00:05:15,660 even just low decreases in water 137 00:05:19,430 --> 00:05:17,160 activity 138 00:05:21,770 --> 00:05:19,440 um we also detected cell biomass through 139 00:05:23,629 --> 00:05:21,780 dappy and nanosims in the slow water 140 00:05:25,610 --> 00:05:23,639 activity magnesium chloride brine 141 00:05:28,010 --> 00:05:25,620 however we didn't detect any activity 142 00:05:29,749 --> 00:05:28,020 here and the incubation time was two 143 00:05:31,670 --> 00:05:29,759 days long so there's several reasons for 144 00:05:37,490 --> 00:05:31,680 this 145 00:05:40,070 --> 00:05:37,500 estimate a new predicted lower limit of 146 00:05:42,050 --> 00:05:40,080 Life at 0.54 so that's a little 147 00:05:44,270 --> 00:05:42,060 significantly biologically significantly 148 00:05:48,050 --> 00:05:44,280 lower than the 0.6 previous limit 149 00:05:49,610 --> 00:05:48,060 detected sorry predicted and this data 150 00:05:51,110 --> 00:05:49,620 I'd love to talk more about it but it's 151 00:05:52,969 --> 00:05:51,120 been submitted and I just got word that 152 00:05:54,590 --> 00:05:52,979 it's now in review as of this morning so 153 00:05:55,850 --> 00:05:54,600 it's really exciting and if you'd like 154 00:05:57,650 --> 00:05:55,860 to hear more about that please talk to 155 00:05:59,570 --> 00:05:57,660 me later 156 00:06:01,610 --> 00:05:59,580 so now to kind of get into the topic of 157 00:06:03,170 --> 00:06:01,620 this talk which is I'm talking about the 158 00:06:05,330 --> 00:06:03,180 limits of life in acidic brine 159 00:06:08,210 --> 00:06:05,340 environments there's a lot of things 160 00:06:10,189 --> 00:06:08,220 that happen in brines so you can have 161 00:06:12,230 --> 00:06:10,199 salinity as a limiting factor you can 162 00:06:13,310 --> 00:06:12,240 have high metal concentrations you can 163 00:06:15,350 --> 00:06:13,320 have high ionic strength and 164 00:06:17,270 --> 00:06:15,360 chaotropicity but one thing that really 165 00:06:19,189 --> 00:06:17,280 stood out to me about this sample set 166 00:06:21,469 --> 00:06:19,199 was that most of the brines that had 167 00:06:23,210 --> 00:06:21,479 high levels of activity actually had a 168 00:06:25,270 --> 00:06:23,220 pH about seven or eight so like 169 00:06:28,010 --> 00:06:25,280 relatively neutral to slightly basic pH 170 00:06:30,770 --> 00:06:28,020 however this magnesium chloride brine 171 00:06:33,230 --> 00:06:30,780 which had no detectable activity had a 172 00:06:35,270 --> 00:06:33,240 pH of about 5.4 173 00:06:37,670 --> 00:06:35,280 and so my question was how does pH 174 00:06:39,230 --> 00:06:37,680 affect microbial activity in brine 175 00:06:40,430 --> 00:06:39,240 environments and is this an important 176 00:06:43,309 --> 00:06:40,440 factor 177 00:06:45,950 --> 00:06:43,319 in the limits of life 178 00:06:48,230 --> 00:06:45,960 so last summer our team went to Western 179 00:06:51,050 --> 00:06:48,240 Australia to sample a bunch of acidic 180 00:06:53,150 --> 00:06:51,060 brines and these brines are considered 181 00:06:55,010 --> 00:06:53,160 Mars analogs because of the geochemistry 182 00:06:57,469 --> 00:06:55,020 and weathering systems that created them 183 00:07:00,290 --> 00:06:57,479 over millions of years 184 00:07:02,150 --> 00:07:00,300 um just in a short oxidation of sulfides 185 00:07:04,430 --> 00:07:02,160 acidified the water and then evaporation 186 00:07:06,650 --> 00:07:04,440 concentrated ions and other salts over 187 00:07:08,510 --> 00:07:06,660 time creating these really acidic Briny 188 00:07:10,309 --> 00:07:08,520 environments 189 00:07:12,050 --> 00:07:10,319 there's hundreds of these lakes and we 190 00:07:14,870 --> 00:07:12,060 were really lucky to sample a really 191 00:07:16,969 --> 00:07:14,880 broad spectrum of them so on the x-axis 192 00:07:19,909 --> 00:07:16,979 is water activity and on the y-axis is 193 00:07:22,610 --> 00:07:19,919 pH and I was really thrilled to get a 194 00:07:25,010 --> 00:07:22,620 nice group of lakes to sample for 195 00:07:27,409 --> 00:07:25,020 activity analysis especially these ones 196 00:07:30,350 --> 00:07:27,419 that are boxed these are were at a water 197 00:07:32,450 --> 00:07:30,360 activity at 0.7 and they range in PH so 198 00:07:35,870 --> 00:07:32,460 it's a really good opportunity to kind 199 00:07:38,270 --> 00:07:35,880 of look at how pH affects metabolism at 200 00:07:42,469 --> 00:07:38,280 low water activity 201 00:07:44,629 --> 00:07:42,479 so at this this study I analyzed 202 00:07:47,270 --> 00:07:44,639 metabolic activity specifically anabolic 203 00:07:50,089 --> 00:07:47,280 activity by incubating these brines with 204 00:07:52,490 --> 00:07:50,099 an analog amino acid called hpg 205 00:07:54,589 --> 00:07:52,500 cells that are active in the sample will 206 00:07:56,930 --> 00:07:54,599 take up hpg and incorporate them into 207 00:07:59,930 --> 00:07:56,940 their new proteins that are produced and 208 00:08:01,969 --> 00:07:59,940 then the hpg has a alkyne group on the 209 00:08:04,370 --> 00:08:01,979 end that later on in lab you can perform 210 00:08:06,529 --> 00:08:04,380 click chemistry on and click a 404 to it 211 00:08:08,330 --> 00:08:06,539 so all the cells that are active in the 212 00:08:11,029 --> 00:08:08,340 sample turn out green under the 213 00:08:13,189 --> 00:08:11,039 microscope or in flow cytometry and then 214 00:08:15,230 --> 00:08:13,199 that can be counter-stained or compared 215 00:08:17,510 --> 00:08:15,240 to cells that are stained blue via DNA 216 00:08:19,129 --> 00:08:17,520 stain of doping and so with this data 217 00:08:22,309 --> 00:08:19,139 you can calculate the percent of active 218 00:08:24,170 --> 00:08:22,319 cells across these Lakes 219 00:08:25,670 --> 00:08:24,180 so this is just an example of what this 220 00:08:27,589 --> 00:08:25,680 data set looks like these are just four 221 00:08:29,749 --> 00:08:27,599 of the 13 or 14 lakes that we were able 222 00:08:32,510 --> 00:08:29,759 to do this with on the left the lakes 223 00:08:33,709 --> 00:08:32,520 are ordered and decreasing pH and I 224 00:08:35,630 --> 00:08:33,719 thought it was also kind of interesting 225 00:08:36,949 --> 00:08:35,640 the color changes so you can admire 226 00:08:38,810 --> 00:08:36,959 those I don't know why they do that but 227 00:08:40,730 --> 00:08:38,820 that's the way it is and then in the 228 00:08:43,070 --> 00:08:40,740 middle are the dappy stain cells under 229 00:08:44,750 --> 00:08:43,080 the microscope and then on the right are 230 00:08:46,910 --> 00:08:44,760 the active cells that are tagged with 231 00:08:48,949 --> 00:08:46,920 the green fluorophore 232 00:08:50,269 --> 00:08:48,959 and you can also notice like the 233 00:08:52,850 --> 00:08:50,279 different cell morphologies and 234 00:08:55,550 --> 00:08:52,860 abundances that change with ph which is 235 00:08:57,949 --> 00:08:55,560 really fascinating and also that pH 236 00:09:00,170 --> 00:08:57,959 didn't affect the assay itself we do see 237 00:09:02,750 --> 00:09:00,180 some cells that are active at these low 238 00:09:07,130 --> 00:09:02,760 PHS and sometimes you have brines where 239 00:09:10,250 --> 00:09:08,810 so when you calculate the percent of 240 00:09:12,470 --> 00:09:10,260 active cells and you put this all in a 241 00:09:14,389 --> 00:09:12,480 plot I'll just Orient you so on the 242 00:09:17,449 --> 00:09:14,399 x-axis here we have water activity 243 00:09:19,310 --> 00:09:17,459 decreasing and on the y-axis is pH 244 00:09:21,650 --> 00:09:19,320 decreasing in this direction so you 245 00:09:24,350 --> 00:09:21,660 would expect the most extreme acidic 246 00:09:27,170 --> 00:09:24,360 brines to be kind of in this region 247 00:09:29,090 --> 00:09:27,180 this dotted line is that newly predicted 248 00:09:30,769 --> 00:09:29,100 water activity limit of life that I 249 00:09:32,690 --> 00:09:30,779 talked about earlier and then this 250 00:09:35,030 --> 00:09:32,700 dotted line represents the percent of 251 00:09:37,850 --> 00:09:35,040 active cells dropping below 50 percent 252 00:09:39,530 --> 00:09:37,860 at this pH so this color block each of 253 00:09:42,110 --> 00:09:39,540 the dots is one Lake and the color bar 254 00:09:43,550 --> 00:09:42,120 was colored on a green gradient if the 255 00:09:46,310 --> 00:09:43,560 percent of active cells is above 50 256 00:09:48,710 --> 00:09:46,320 percent and on a gradient towards black 257 00:09:50,870 --> 00:09:48,720 if it was below 50 so you can kind of 258 00:09:53,389 --> 00:09:50,880 just visually see that all of the green 259 00:09:55,910 --> 00:09:53,399 like high percentage act cells cluster 260 00:09:58,070 --> 00:09:55,920 up here and all of the low percent of 261 00:09:59,509 --> 00:09:58,080 active cells clustered down here and 262 00:10:01,250 --> 00:09:59,519 when you look at it statistically there 263 00:10:03,530 --> 00:10:01,260 is a moderately stronger correlation 264 00:10:06,650 --> 00:10:03,540 with ph and activity compared to water 265 00:10:07,730 --> 00:10:06,660 activity and activity so so many times 266 00:10:10,430 --> 00:10:07,740 you can count how many times I say 267 00:10:12,949 --> 00:10:10,440 activity in this talk 268 00:10:15,650 --> 00:10:12,959 um and so some thoughts on this 269 00:10:17,930 --> 00:10:15,660 a pH of six is really high for 270 00:10:19,370 --> 00:10:17,940 environmental samples and as we've heard 271 00:10:22,070 --> 00:10:19,380 from a lot of people and as we know 272 00:10:24,050 --> 00:10:22,080 there's a lot of microbes that live in 273 00:10:26,449 --> 00:10:24,060 way more acidic environments so what's 274 00:10:28,310 --> 00:10:26,459 actually happening here I don't have an 275 00:10:30,110 --> 00:10:28,320 answer to that yet and I'm hoping to 276 00:10:32,150 --> 00:10:30,120 figure that out with future analyzes 277 00:10:33,889 --> 00:10:32,160 that include nanosims work on these 278 00:10:36,530 --> 00:10:33,899 Lakes 279 00:10:38,210 --> 00:10:36,540 um and then if this is a true signal and 280 00:10:41,329 --> 00:10:38,220 this is what what is going on in the 281 00:10:43,310 --> 00:10:41,339 environment then microbial activity may 282 00:10:46,790 --> 00:10:43,320 be detected at lower water activities 283 00:10:48,889 --> 00:10:46,800 than we know of now as long as the pH is 284 00:10:50,569 --> 00:10:48,899 within the seven to eight maybe like not 285 00:10:52,430 --> 00:10:50,579 so acidic range 286 00:10:53,990 --> 00:10:52,440 um so figuring out what that PH range is 287 00:10:55,970 --> 00:10:54,000 and how that interacts with water 288 00:11:00,110 --> 00:10:55,980 activity limits of life 289 00:11:03,110 --> 00:11:00,120 um is something of ongoing investigation 290 00:11:05,389 --> 00:11:03,120 so with that I'd like to acknowledge my 291 00:11:08,030 --> 00:11:05,399 lab the deaca slab pictured up in the 292 00:11:09,889 --> 00:11:08,040 right all of our funding sources the 293 00:11:11,449 --> 00:11:09,899 oceans across space and time team which 294 00:11:13,370 --> 00:11:11,459 is a nasa-funded project you'll hear 295 00:11:15,949 --> 00:11:13,380 about uh you'll hear from a lot of us 296 00:11:17,509 --> 00:11:15,959 throughout this conference and all of 297 00:11:19,790 --> 00:11:17,519 our collaborators in Western Australia 298 00:11:21,110 --> 00:11:19,800 including Molly the dingo who of course 299 00:11:23,329 --> 00:11:21,120 this work would not have been possible 300 00:11:24,470 --> 00:11:23,339 without 301 00:11:25,730 --> 00:11:24,480 all right and then I'll take any 302 00:11:27,470 --> 00:11:25,740 questions and I'll leave this up so you 303 00:11:28,850 --> 00:11:27,480 can stare at the dots for a little bit 304 00:11:33,900 --> 00:11:28,860 longer 305 00:11:36,170 --> 00:11:33,910 [Music] 306 00:11:49,190 --> 00:11:36,180 [Applause] 307 00:11:52,970 --> 00:11:51,710 hi uh that was really cool talk thanks 308 00:11:54,410 --> 00:11:52,980 so much 309 00:11:56,630 --> 00:11:54,420 um I was just wondering if he could 310 00:12:00,050 --> 00:11:56,640 expand a little bit on why you 311 00:12:02,090 --> 00:12:00,060 concentrate onion anabolic 312 00:12:05,449 --> 00:12:02,100 um activity as opposed to catabolic 313 00:12:08,630 --> 00:12:05,459 activity yeah so 314 00:12:10,670 --> 00:12:08,640 let's see scientifically the reason why 315 00:12:12,290 --> 00:12:10,680 I would focus on anabolic activity I 316 00:12:13,970 --> 00:12:12,300 mean both catabolic and anabolic 317 00:12:17,810 --> 00:12:13,980 activity are essential for life right 318 00:12:19,790 --> 00:12:17,820 life has to make energy to assimilate 319 00:12:22,430 --> 00:12:19,800 substrates and ground divides so both 320 00:12:24,710 --> 00:12:22,440 processes are really important 321 00:12:27,170 --> 00:12:24,720 um and they are processes that I'll be 322 00:12:29,150 --> 00:12:27,180 combining or looking at in future field 323 00:12:31,250 --> 00:12:29,160 sites 324 00:12:33,290 --> 00:12:31,260 um with anabolic activity the 325 00:12:34,730 --> 00:12:33,300 interesting thing here is that you could 326 00:12:37,069 --> 00:12:34,740 imagine that when a cell gets really 327 00:12:39,590 --> 00:12:37,079 stressed out it would stop dividing 328 00:12:42,530 --> 00:12:39,600 potentially and still accumulate 329 00:12:44,690 --> 00:12:42,540 substrates to repair DNA repair cell 330 00:12:47,329 --> 00:12:44,700 walls do all that stuff until conditions 331 00:12:50,449 --> 00:12:47,339 get better and so the idea was that or 332 00:12:52,790 --> 00:12:50,459 my original hypothesis was that by 333 00:12:55,009 --> 00:12:52,800 um that anabolic activity would extend 334 00:12:59,629 --> 00:12:55,019 beyond the known cell division limit of 335 00:13:01,129 --> 00:12:59,639 life because even as cells are um cells 336 00:13:02,870 --> 00:13:01,139 would be able to survive just by taking 337 00:13:04,550 --> 00:13:02,880 up materials and so that taking up 338 00:13:13,850 --> 00:13:04,560 process is the anabolic Activity Part 339 00:13:19,790 --> 00:13:15,410 sweet talk 340 00:13:23,050 --> 00:13:19,800 I have a question so um you mentioned 341 00:13:26,810 --> 00:13:23,060 that you guys have essentially like uh 342 00:13:29,090 --> 00:13:26,820 extrapolated uh new 343 00:13:31,269 --> 00:13:29,100 like limit for life like in terms of 344 00:13:34,850 --> 00:13:31,279 water activity it's kind of a power move 345 00:13:37,610 --> 00:13:34,860 so we're not the first ones to do this 346 00:13:39,590 --> 00:13:37,620 okay but okay but uh could you explain 347 00:13:40,970 --> 00:13:39,600 how you extrapolated that because I 348 00:13:42,829 --> 00:13:40,980 think maybe I missed that or I didn't 349 00:13:44,269 --> 00:13:42,839 understand yeah um okay we're gonna get 350 00:13:48,530 --> 00:13:44,279 into the weeds here but let me go back 351 00:13:51,650 --> 00:13:48,540 to that slide so this this idea or this 352 00:13:52,810 --> 00:13:51,660 like extrapolation is based on 353 00:13:55,670 --> 00:13:52,820 um 354 00:13:57,170 --> 00:13:55,680 these this study here so they did the 355 00:13:59,030 --> 00:13:57,180 same thing and this is how they got this 356 00:14:01,129 --> 00:13:59,040 theoretical limit of life that has now 357 00:14:02,930 --> 00:14:01,139 been cited almost 200 times from food 358 00:14:04,670 --> 00:14:02,940 preservation fields to life detection 359 00:14:06,610 --> 00:14:04,680 Fields so 360 00:14:10,009 --> 00:14:06,620 um 361 00:14:11,509 --> 00:14:10,019 hasn't been published yet 362 00:14:13,129 --> 00:14:11,519 um so the reason so they used a 363 00:14:16,009 --> 00:14:13,139 different technique and they based it on 364 00:14:17,509 --> 00:14:16,019 cell division and so we're 365 00:14:18,769 --> 00:14:17,519 um 366 00:14:20,150 --> 00:14:18,779 so hang on let me answer your first 367 00:14:21,650 --> 00:14:20,160 question so 368 00:14:24,350 --> 00:14:21,660 um the way that we did this is single 369 00:14:25,610 --> 00:14:24,360 cell analysis allows you to separate the 370 00:14:27,650 --> 00:14:25,620 cells that are active from those that 371 00:14:29,329 --> 00:14:27,660 are inactive and in a brine environment 372 00:14:31,430 --> 00:14:29,339 this is really important because brines 373 00:14:33,710 --> 00:14:31,440 are really salty and cells can fall in 374 00:14:35,870 --> 00:14:33,720 from anywhere bird poop wind whatever 375 00:14:37,730 --> 00:14:35,880 and get preserved and those can be 376 00:14:40,430 --> 00:14:37,740 inactive so those can contribute to that 377 00:14:42,829 --> 00:14:40,440 bulk analysis and not necessarily even 378 00:14:44,509 --> 00:14:42,839 be important in that environment so with 379 00:14:46,550 --> 00:14:44,519 single cell analysis we took out the 380 00:14:48,050 --> 00:14:46,560 active cells average their anabolic 381 00:14:50,750 --> 00:14:48,060 activities so we're just focusing on 382 00:14:53,509 --> 00:14:50,760 who's contributing to metabolism in that 383 00:14:56,930 --> 00:14:53,519 environment and then use detection 384 00:14:59,210 --> 00:14:56,940 limits and and math to extrapolate and 385 00:15:01,910 --> 00:14:59,220 predict or propose this new predicted 386 00:15:03,949 --> 00:15:01,920 limit of detectable life and so this is 387 00:15:05,990 --> 00:15:03,959 not the limit of life this is what our 388 00:15:08,329 --> 00:15:06,000 measurements can detect and if we found 389 00:15:10,430 --> 00:15:08,339 an environment at 0.54 Water activity 390 00:15:12,290 --> 00:15:10,440 with similar conditions to this 391 00:15:14,629 --> 00:15:12,300 environment that we extrapolated it from 392 00:15:16,490 --> 00:15:14,639 we would technically be able to detect 393 00:15:18,170 --> 00:15:16,500 life in that environment 394 00:15:19,970 --> 00:15:18,180 and this is also a really conservative 395 00:15:22,550 --> 00:15:19,980 limit so 396 00:15:24,769 --> 00:15:22,560 um we even upped the number of standard 397 00:15:27,470 --> 00:15:24,779 deviations that we would normally do for 398 00:15:29,389 --> 00:15:27,480 our like detection limit so if we were 399 00:15:31,730 --> 00:15:29,399 to do like our data processing in the 400 00:15:47,629 --> 00:15:31,740 normal way it might even be lower that 401 00:15:53,870 --> 00:15:51,050 hey George eibel from Montana State I'm 402 00:15:56,090 --> 00:15:53,880 just curious uh you're looking at the 403 00:15:58,670 --> 00:15:56,100 Active cells were you did you look at 404 00:16:03,290 --> 00:15:58,680 who they were at all whether that was by 405 00:16:05,810 --> 00:16:03,300 fish or sequencing so in this study we 406 00:16:09,310 --> 00:16:05,820 did not look at cell identity and we 407 00:16:12,949 --> 00:16:09,320 focused um on metabolism 408 00:16:15,050 --> 00:16:12,959 in Western Australia I don't have plans 409 00:16:17,569 --> 00:16:15,060 to look at the actual like I don't know 410 00:16:19,189 --> 00:16:17,579 I could look at the Active fraction of 411 00:16:20,389 --> 00:16:19,199 cells from the bond cat analysis I 412 00:16:22,069 --> 00:16:20,399 haven't decided if I want to go down 413 00:16:24,949 --> 00:16:22,079 that road yet but in the next field site 414 00:16:25,550 --> 00:16:24,959 we are planning on on doing that so 415 00:16:29,090 --> 00:16:25,560 um 416 00:16:30,590 --> 00:16:29,100 yeah not in this not in a city 417 00:16:34,020 --> 00:16:30,600 all right thank you very much Emily yeah