1 00:00:00,790 --> 00:00:07,320 [Music] 2 00:00:11,490 --> 00:00:08,700 [Applause] 3 00:00:14,040 --> 00:00:11,500 I work at the University of Washington 4 00:00:17,400 --> 00:00:14,050 with a interdisciplinary team and we are 5 00:00:20,480 --> 00:00:17,410 studying the bio signatures cellular and 6 00:00:23,429 --> 00:00:20,490 proteomic of extremophiles subject to 7 00:00:24,720 --> 00:00:23,439 hold and highly saline conditions and 8 00:00:28,170 --> 00:00:24,730 I'm going to be showing some of our 9 00:00:29,940 --> 00:00:28,180 first results in this ongoing project so 10 00:00:31,950 --> 00:00:29,950 first you want to we want to think that 11 00:00:33,930 --> 00:00:31,960 most of the moons and planets of 12 00:00:36,660 --> 00:00:33,940 astrobiological interest in the solar 13 00:00:39,390 --> 00:00:36,670 system have surfaces with temperatures 14 00:00:42,270 --> 00:00:39,400 well below the limits of life and even 15 00:00:44,880 --> 00:00:42,280 though it's possible that organisms may 16 00:00:49,560 --> 00:00:44,890 be living below in deeper warmer 17 00:00:52,920 --> 00:00:49,570 environments these organisms may be 18 00:00:55,139 --> 00:00:52,930 transported towers the surface which is 19 00:00:56,639 --> 00:00:55,149 where we are going to be looking for the 20 00:00:58,410 --> 00:00:56,649 bio signatures so this raises the 21 00:01:01,160 --> 00:00:58,420 question of what happens to an organism 22 00:01:04,049 --> 00:01:01,170 when you take it away from its habitable 23 00:01:06,420 --> 00:01:04,059 region and remove it in colder and very 24 00:01:09,090 --> 00:01:06,430 likely South air conditions and to 25 00:01:12,450 --> 00:01:09,100 answer this question we took a psycho 26 00:01:15,060 --> 00:01:12,460 philic organism and we incubated it into 27 00:01:17,039 --> 00:01:15,070 salinity conditions far from its growth 28 00:01:19,530 --> 00:01:17,049 range so what you are seeing here in 29 00:01:21,270 --> 00:01:19,540 this temperature salinity graph you have 30 00:01:23,730 --> 00:01:21,280 the temperature on the vertical axis 31 00:01:26,340 --> 00:01:23,740 South concentration on the recentl axis 32 00:01:28,740 --> 00:01:26,350 and this Square this rectangle is 33 00:01:31,410 --> 00:01:28,750 showing you the limits at which our 34 00:01:33,450 --> 00:01:31,420 organism can grow so you can see it has 35 00:01:35,730 --> 00:01:33,460 a nice range of temperatures going down 36 00:01:38,609 --> 00:01:35,740 to negative 12 but a rather limited 37 00:01:40,710 --> 00:01:38,619 range in salinity so what we did is we 38 00:01:43,620 --> 00:01:40,720 incubated it at temperatures in the 39 00:01:46,469 --> 00:01:43,630 lower range of its temperature growth 40 00:01:49,710 --> 00:01:46,479 range and saline it is a couple of 41 00:01:52,410 --> 00:01:49,720 salinities both optimal salinities and 42 00:01:55,020 --> 00:01:52,420 higher salinities that than what we know 43 00:01:57,050 --> 00:01:55,030 it can tolerate and after incubating it 44 00:02:00,210 --> 00:01:57,060 we measured the activity by 45 00:02:02,999 --> 00:02:00,220 incorporation of a radioactively-labeled 46 00:02:04,859 --> 00:02:03,009 amino acid we measure the viability that 47 00:02:06,929 --> 00:02:04,869 is we took the organisms after the 48 00:02:09,180 --> 00:02:06,939 incubation and we return them to their 49 00:02:10,560 --> 00:02:09,190 optimal conditions to see estimate the 50 00:02:12,660 --> 00:02:10,570 number of viable cells that were 51 00:02:14,640 --> 00:02:12,670 remaining we observe the cells at the 52 00:02:18,030 --> 00:02:14,650 microscope with that stain and we did 53 00:02:19,890 --> 00:02:18,040 proteomics with tandem mass spectrometry 54 00:02:22,110 --> 00:02:19,900 so I'm going to walk you through the 55 00:02:24,119 --> 00:02:22,120 rationale of what temperature 56 00:02:26,220 --> 00:02:24,129 salinities did we choose moving into the 57 00:02:28,860 --> 00:02:26,230 metals and some of the results so you 58 00:02:30,930 --> 00:02:28,870 see here a simplified diagram of the 59 00:02:33,390 --> 00:02:30,940 phases of seawater when it's freezing 60 00:02:34,800 --> 00:02:33,400 you have again temperature and cell 61 00:02:36,930 --> 00:02:34,810 concentration on the bottom and 62 00:02:39,420 --> 00:02:36,940 basically this diagram is telling you 63 00:02:41,100 --> 00:02:39,430 what phases are going to be stable at 64 00:02:43,130 --> 00:02:41,110 which temperatures and salinity so you 65 00:02:45,660 --> 00:02:43,140 have liquid water in the warmer areas 66 00:02:48,330 --> 00:02:45,670 frozen eyes in the cold and salt at 67 00:02:49,680 --> 00:02:48,340 higher salt concentrations I also want 68 00:02:51,720 --> 00:02:49,690 to know that sometimes you can get 69 00:02:53,940 --> 00:02:51,730 solutions out of equilibrium so you can 70 00:02:56,670 --> 00:02:53,950 get supercool solutions which are common 71 00:03:00,150 --> 00:02:56,680 for all of us studying in the laboratory 72 00:03:02,009 --> 00:03:00,160 this type of systems so you have liquid 73 00:03:04,710 --> 00:03:02,019 water at lower temperatures when it 74 00:03:10,289 --> 00:03:04,720 should be frozen and an important thing 75 00:03:12,479 --> 00:03:10,299 in this diagram is the I want to the I 76 00:03:14,880 --> 00:03:12,489 want to signal you to the brine 77 00:03:17,819 --> 00:03:14,890 equilibrium line so here what you are 78 00:03:20,610 --> 00:03:17,829 going to be saying is as this ice is 79 00:03:22,199 --> 00:03:20,620 freezing the liquid inclusions we seen 80 00:03:24,240 --> 00:03:22,209 the ice are going to have a salinity 81 00:03:25,530 --> 00:03:24,250 that is dictated by these lines for 82 00:03:28,740 --> 00:03:25,540 instance if you are having ice at 83 00:03:30,300 --> 00:03:28,750 negative 10 the brine inside the ice is 84 00:03:32,160 --> 00:03:30,310 going to have a salinity or a South 85 00:03:35,009 --> 00:03:32,170 concentration with an ionic strength of 86 00:03:36,900 --> 00:03:35,019 3.2 approximately and this is important 87 00:03:39,449 --> 00:03:36,910 because if you are an organism living 88 00:03:40,740 --> 00:03:39,459 within the ice this means that as you 89 00:03:42,839 --> 00:03:40,750 lower the temperature you are 90 00:03:44,849 --> 00:03:42,849 simultaneously increasing the salinity 91 00:03:47,160 --> 00:03:44,859 so the organisms it's in the ice 92 00:03:51,300 --> 00:03:47,170 experiencing are experiencing these two 93 00:03:53,640 --> 00:03:51,310 stressors at at the same time so here it 94 00:03:56,729 --> 00:03:53,650 is in the phase diagram you have here 95 00:03:58,800 --> 00:03:56,739 located the square with the rectangle 96 00:04:00,720 --> 00:03:58,810 with the growth conditions of our model 97 00:04:03,690 --> 00:04:00,730 organism which you may have heard in 98 00:04:06,120 --> 00:04:03,700 other talks coil a secretary at 9:34 H 99 00:04:07,289 --> 00:04:06,130 and when we so here you can see the 100 00:04:09,750 --> 00:04:07,299 conditions that we used in the 101 00:04:11,610 --> 00:04:09,760 experiment so we chose two temperatures 102 00:04:13,830 --> 00:04:11,620 both in the growth range of Corellia 103 00:04:16,949 --> 00:04:13,840 negative 5 and negative 10 and we choose 104 00:04:20,129 --> 00:04:16,959 the following salinities we chose a 105 00:04:23,550 --> 00:04:20,139 seawater supercooled seawater and we 106 00:04:26,460 --> 00:04:23,560 chose the brine salinity expected at the 107 00:04:27,750 --> 00:04:26,470 negative 5 temperature and for negative 108 00:04:30,540 --> 00:04:27,760 10 we did the same thing 109 00:04:35,010 --> 00:04:30,550 seawater supercooled and we chose the 110 00:04:35,580 --> 00:04:35,020 negative 10 Brian salinity so the ionic 111 00:04:37,890 --> 00:04:35,590 strength of 112 00:04:40,590 --> 00:04:37,900 those solutions would be 0.74 the 113 00:04:43,230 --> 00:04:40,600 sea-water 1.8 for the brine equilibrium 114 00:04:44,940 --> 00:04:43,240 at negative five and three point two for 115 00:04:47,700 --> 00:04:44,950 the brine et Librium at negative ten and 116 00:04:50,640 --> 00:04:47,710 I have their concentrations in parts per 117 00:04:52,320 --> 00:04:50,650 thousand for comparison so let's take a 118 00:04:54,420 --> 00:04:52,330 look at what we did with the organisms 119 00:04:56,310 --> 00:04:54,430 themselves we grill them in their 120 00:04:59,190 --> 00:04:56,320 optimal media at zero degrees and then 121 00:05:02,430 --> 00:04:59,200 wash the cells transfer them to the high 122 00:05:04,880 --> 00:05:02,440 salinity media the solutions were 123 00:05:07,770 --> 00:05:04,890 prepared following the expected 124 00:05:11,040 --> 00:05:07,780 concentrations for seawater ions at any 125 00:05:13,200 --> 00:05:11,050 given temperature and then we amended 126 00:05:15,870 --> 00:05:13,210 the solutions with either a high or a 127 00:05:18,540 --> 00:05:15,880 low concentration of nutrients we 128 00:05:21,600 --> 00:05:18,550 distributed these resuspended cells in 129 00:05:23,220 --> 00:05:21,610 two vials to be into two sets of buyers 130 00:05:26,220 --> 00:05:23,230 one of them for the activity 131 00:05:27,540 --> 00:05:26,230 measurements and another one for at the 132 00:05:30,050 --> 00:05:27,550 same time we took measurements for 133 00:05:32,910 --> 00:05:30,060 viability cell number and proteomics 134 00:05:35,720 --> 00:05:32,920 because we wanted to do a study of how 135 00:05:38,430 --> 00:05:35,730 this evolved through time we took 136 00:05:42,420 --> 00:05:38,440 triplicate samples for the activity in a 137 00:05:45,480 --> 00:05:42,430 shorter time frame from 2 hours 12 12 24 138 00:05:48,030 --> 00:05:45,490 hours and 1 month and we took samples 139 00:05:51,270 --> 00:05:48,040 for cell numbers and viability at 1 140 00:05:53,460 --> 00:05:51,280 month and 4th month at after 4 months we 141 00:05:55,350 --> 00:05:53,470 wanted to see how the organisms had been 142 00:05:56,970 --> 00:05:55,360 evolving their proteome after being 143 00:06:01,800 --> 00:05:56,980 subject to these different conditions of 144 00:06:03,930 --> 00:06:01,810 temperature salinity and nutrients so 145 00:06:06,900 --> 00:06:03,940 let's take a look at what the organisms 146 00:06:08,940 --> 00:06:06,910 were doing starting with the activity so 147 00:06:12,300 --> 00:06:08,950 this graph here you can see the activity 148 00:06:15,590 --> 00:06:12,310 in the vertical axis and time from 0 to 149 00:06:18,900 --> 00:06:15,600 24 hours after the incubation the 150 00:06:23,100 --> 00:06:18,910 vertical lines show you the activity for 151 00:06:25,410 --> 00:06:23,110 the 42 supercooled solutions in green 152 00:06:29,910 --> 00:06:25,420 the negative 5 in orange the negative 10 153 00:06:32,010 --> 00:06:29,920 and you can see that the brine activity 154 00:06:34,230 --> 00:06:32,020 incorporation of the radioactively label 155 00:06:36,540 --> 00:06:34,240 amino acid is basically here in the 156 00:06:38,640 --> 00:06:36,550 bottom you can barely see it above the 157 00:06:40,860 --> 00:06:38,650 activity of the kill controls so as soon 158 00:06:42,960 --> 00:06:40,870 as this organism experience a higher 159 00:06:44,580 --> 00:06:42,970 salinity there is a drastic drop in 160 00:06:48,150 --> 00:06:44,590 their activity in their metabolic 161 00:06:49,260 --> 00:06:48,160 activity and after one month if you 162 00:06:51,450 --> 00:06:49,270 compare the activity 163 00:06:53,130 --> 00:06:51,460 here in the vertical access with the 164 00:06:56,490 --> 00:06:53,140 viability of the cells in a logarithmic 165 00:06:58,860 --> 00:06:56,500 scale in the horizontal axis you can see 166 00:07:01,500 --> 00:06:58,870 that the populations radically diverge 167 00:07:03,810 --> 00:07:01,510 so you still have higher activity after 168 00:07:07,230 --> 00:07:03,820 one month in the supercool samples lower 169 00:07:08,970 --> 00:07:07,240 activity in the primes and what is 170 00:07:11,640 --> 00:07:08,980 interesting is the changes in viability 171 00:07:13,350 --> 00:07:11,650 so for the negative 5 degrees you have a 172 00:07:14,970 --> 00:07:13,360 higher viability so these cells are 173 00:07:16,530 --> 00:07:14,980 really happy they are active and they 174 00:07:19,530 --> 00:07:16,540 are viable when you increase the 175 00:07:20,970 --> 00:07:19,540 salinity at negative 5 the activity 176 00:07:23,490 --> 00:07:20,980 drops but the viability is still 177 00:07:25,680 --> 00:07:23,500 relatively high but for the supercooled 178 00:07:27,540 --> 00:07:25,690 negative 10 seawater the viability has 179 00:07:29,490 --> 00:07:27,550 dropped so after amount of incubation 180 00:07:31,980 --> 00:07:29,500 even though they were picking up the 181 00:07:34,170 --> 00:07:31,990 amino acid at some point they lost the 182 00:07:35,550 --> 00:07:34,180 ability to reproduce and the cells that 183 00:07:38,790 --> 00:07:35,560 were in the negative 10 brine 184 00:07:41,280 --> 00:07:38,800 they have no recognisable activity or 185 00:07:43,170 --> 00:07:41,290 viability after one month so this is 186 00:07:44,880 --> 00:07:43,180 really stressful for them and you can 187 00:07:46,440 --> 00:07:44,890 see that the salt is driving the 188 00:07:47,820 --> 00:07:46,450 difference in the activity and the 189 00:07:50,580 --> 00:07:47,830 temperature the difference in the 190 00:07:53,220 --> 00:07:50,590 viability of the organism so you have 191 00:07:55,230 --> 00:07:53,230 here in this area growing cells here 192 00:07:57,330 --> 00:07:55,240 cells that are with low activity but 193 00:07:59,220 --> 00:07:57,340 still viable cells that are active but 194 00:08:01,320 --> 00:07:59,230 not viable and here in this condition 195 00:08:03,990 --> 00:08:01,330 which is when most of them are non 196 00:08:07,140 --> 00:08:04,000 viable and non active so let's take at 197 00:08:08,550 --> 00:08:07,150 cell numbers here you have the cells and 198 00:08:11,040 --> 00:08:08,560 the viability and I'm going to be 199 00:08:12,960 --> 00:08:11,050 showing two treatments the light colors 200 00:08:14,940 --> 00:08:12,970 are going to be without nutrients and 201 00:08:16,380 --> 00:08:14,950 the dark colors with nutrients and these 202 00:08:18,720 --> 00:08:16,390 triangles he'll show you the initial 203 00:08:20,640 --> 00:08:18,730 conditions so these were the cells how 204 00:08:23,940 --> 00:08:20,650 the state of the cells when we started 205 00:08:27,090 --> 00:08:23,950 incubation and after one month in the 206 00:08:29,190 --> 00:08:27,100 negative 5 supercooled and seawater most 207 00:08:31,050 --> 00:08:29,200 cells are similar to how they started 208 00:08:33,090 --> 00:08:31,060 except that if they don't have very many 209 00:08:35,250 --> 00:08:33,100 nutrients the number of cells decreases 210 00:08:37,800 --> 00:08:35,260 and this outlier here is interesting 211 00:08:39,390 --> 00:08:37,810 because this sample was frozen so the 212 00:08:41,580 --> 00:08:39,400 organisms here were actually 213 00:08:44,490 --> 00:08:41,590 experiencing not the seawater salinity 214 00:08:46,410 --> 00:08:44,500 but the brine salinity at the negative 5 215 00:08:48,630 --> 00:08:46,420 temperature and that had an effort in 216 00:08:50,790 --> 00:08:48,640 the viability so let's take a look at 217 00:08:52,920 --> 00:08:50,800 the brine samples how do they do the 218 00:08:56,790 --> 00:08:52,930 brain samples effectively with the brine 219 00:08:58,440 --> 00:08:56,800 the viability decreased and it was more 220 00:09:01,020 --> 00:08:58,450 drastic effect when there were no 221 00:09:02,910 --> 00:09:01,030 nutrients available for the organism at 222 00:09:05,970 --> 00:09:02,920 negative 10 there was a bigger loss 223 00:09:07,710 --> 00:09:05,980 in the in the viability and the effect 224 00:09:09,990 --> 00:09:07,720 of the nutrients was ever ha even higher 225 00:09:11,449 --> 00:09:10,000 so cells really need the presence of 226 00:09:12,600 --> 00:09:11,459 nutrients to be able to survive 227 00:09:15,240 --> 00:09:12,610 incubations 228 00:09:17,160 --> 00:09:15,250 in these more extreme conditions here 229 00:09:20,220 --> 00:09:17,170 there were we had a lot of frozen 230 00:09:21,840 --> 00:09:20,230 samples which we think were driving even 231 00:09:23,879 --> 00:09:21,850 further down the viability of the 232 00:09:25,949 --> 00:09:23,889 organisms because these samples were 233 00:09:27,960 --> 00:09:25,959 experiencing the brine conditions at 234 00:09:30,300 --> 00:09:27,970 negative 10 and those were really 235 00:09:32,610 --> 00:09:30,310 extreme for the organism at negative 10 236 00:09:34,199 --> 00:09:32,620 divided will be had dropped to 0 but 237 00:09:36,360 --> 00:09:34,209 what is interesting for us is that the 238 00:09:38,250 --> 00:09:36,370 number of cells was preserved so these 239 00:09:40,350 --> 00:09:38,260 cells that were suddenly exposed to a 240 00:09:42,420 --> 00:09:40,360 very high salinity they couldn't 241 00:09:44,850 --> 00:09:42,430 maintain their activity near their 242 00:09:46,530 --> 00:09:44,860 viability but the cells remained and we 243 00:09:48,629 --> 00:09:46,540 think that this may be important when 244 00:09:51,329 --> 00:09:48,639 you think in the context of finding bio 245 00:09:52,860 --> 00:09:51,339 signatures somewhere else so what were 246 00:09:54,389 --> 00:09:52,870 these cells doing for that we're going 247 00:09:57,000 --> 00:09:54,399 to be looking at the proteome of these 248 00:09:59,790 --> 00:09:57,010 cells I'm going to be showing two plots 249 00:10:01,439 --> 00:09:59,800 the first one is anime and in MDS plot 250 00:10:04,170 --> 00:10:01,449 in which each one of the dots is 251 00:10:05,670 --> 00:10:04,180 comparing the proteome of that sample 252 00:10:07,949 --> 00:10:05,680 with a proteome of all of the other 253 00:10:10,110 --> 00:10:07,959 samples the second type of plots I will 254 00:10:12,090 --> 00:10:10,120 be showing our string networks in which 255 00:10:13,769 --> 00:10:12,100 each one of the dots is a protein and 256 00:10:15,630 --> 00:10:13,779 what you are going to be seeing is how 257 00:10:19,860 --> 00:10:15,640 the proteins are related to other 258 00:10:21,870 --> 00:10:19,870 proteins where they are and how are they 259 00:10:23,579 --> 00:10:21,880 related related in the metabolic 260 00:10:25,500 --> 00:10:23,589 pathways so when you look at the 261 00:10:27,810 --> 00:10:25,510 proteome is nice because the treatments 262 00:10:29,850 --> 00:10:27,820 are separating we have here the negative 263 00:10:33,329 --> 00:10:29,860 5 with and without nutrients the 264 00:10:36,030 --> 00:10:33,339 super-cold this is the brain here up you 265 00:10:38,340 --> 00:10:36,040 have the supercool negative 10 and here 266 00:10:41,150 --> 00:10:38,350 are all the negative 10 brain cells that 267 00:10:43,560 --> 00:10:41,160 were not doing very well so let's see 268 00:10:44,960 --> 00:10:43,570 what do these cells do when you increase 269 00:10:48,360 --> 00:10:44,970 the salinity when you go from 270 00:10:50,340 --> 00:10:48,370 supercooled sea water to the increased 271 00:10:52,259 --> 00:10:50,350 salinity the supercooled sea water cells 272 00:10:54,120 --> 00:10:52,269 are doing the normal metabolic paths of 273 00:10:55,980 --> 00:10:54,130 the cell but when you increase the 274 00:10:59,309 --> 00:10:55,990 salinity they start pressing all of 275 00:11:02,910 --> 00:10:59,319 their stress response they become motile 276 00:11:05,670 --> 00:11:02,920 they start assembling clusters of iron 277 00:11:08,579 --> 00:11:05,680 which we think can help with the stress 278 00:11:10,379 --> 00:11:08,589 of the oxidative stress and they start 279 00:11:12,569 --> 00:11:10,389 repairing their DNA so they are stressed 280 00:11:15,150 --> 00:11:12,579 and they are responding to it these two 281 00:11:16,430 --> 00:11:15,160 treatments had nutrients in the absence 282 00:11:20,060 --> 00:11:16,440 of nutrients what are these 283 00:11:22,550 --> 00:11:20,070 doing so they are looking for metals we 284 00:11:24,080 --> 00:11:22,560 think a specifically iron and they start 285 00:11:25,610 --> 00:11:24,090 expressing an interesting protein which 286 00:11:27,320 --> 00:11:25,620 is called a connotates and we think is 287 00:11:29,420 --> 00:11:27,330 interesting because this protein has a 288 00:11:32,150 --> 00:11:29,430 remarkable stability at high salinities 289 00:11:33,770 --> 00:11:32,160 according to the literature and also can 290 00:11:36,110 --> 00:11:33,780 take a dual role depending on the 291 00:11:37,610 --> 00:11:36,120 presence or absence of iron so we see 292 00:11:39,110 --> 00:11:37,620 that the cells are looking for iron and 293 00:11:41,150 --> 00:11:39,120 that they are over expressing 294 00:11:43,700 --> 00:11:41,160 approaching that has something to do 295 00:11:45,230 --> 00:11:43,710 with or that uses iron and can have 296 00:11:47,540 --> 00:11:45,240 different roles depending on the 297 00:11:49,820 --> 00:11:47,550 presence of iron now let's see how the 298 00:11:51,920 --> 00:11:49,830 metabolic networks looked so here you 299 00:11:53,860 --> 00:11:51,930 have the negative 5 super cool brains 300 00:11:56,540 --> 00:11:53,870 and you will see how they compare with 301 00:11:58,670 --> 00:11:56,550 when the salinity is increased so here 302 00:12:00,560 --> 00:11:58,680 is super cool negative 5 and here is the 303 00:12:03,080 --> 00:12:00,570 increase in salinity as soon as the 304 00:12:05,240 --> 00:12:03,090 Cellini's increase a cell that initially 305 00:12:08,270 --> 00:12:05,250 had a lot of metabolic networks acting 306 00:12:11,090 --> 00:12:08,280 active and working simplifies its 307 00:12:13,430 --> 00:12:11,100 proteomic Network to just focus on 308 00:12:15,950 --> 00:12:13,440 finding metals and and become mobile 309 00:12:18,290 --> 00:12:15,960 when you do not have nutrients the 310 00:12:21,410 --> 00:12:18,300 networks are simpler and they are again 311 00:12:23,800 --> 00:12:21,420 focusing on achieving of acquiring iron 312 00:12:27,770 --> 00:12:23,810 and expressing their qualities protein 313 00:12:31,010 --> 00:12:27,780 when we compare these negative 5 brains 314 00:12:33,440 --> 00:12:31,020 with more extreme negative 10 brains we 315 00:12:36,410 --> 00:12:33,450 see that the proteome has simplified 316 00:12:38,240 --> 00:12:36,420 into making proteins that are going to 317 00:12:39,890 --> 00:12:38,250 sterilize the DNA under extreme 318 00:12:41,750 --> 00:12:39,900 conditions so these cells are really 319 00:12:46,160 --> 00:12:41,760 stressed just looking to maintain their 320 00:12:48,500 --> 00:12:46,170 DNA so to conclude what do we see when 321 00:12:50,420 --> 00:12:48,510 we expose a cycler file to extreme cell 322 00:12:53,510 --> 00:12:50,430 conditions they decrease the activity 323 00:12:57,110 --> 00:12:53,520 they reduce the metabolic pathways focus 324 00:12:59,840 --> 00:12:57,120 on iron acquisition and motility in the 325 00:13:03,050 --> 00:12:59,850 negative 5 brine the nutrients help it 326 00:13:05,000 --> 00:13:03,060 be viable and in the negative 10 brine 327 00:13:07,640 --> 00:13:05,010 they lose all the viability and the 328 00:13:10,820 --> 00:13:07,650 proteome just simplifies to take care of 329 00:13:13,130 --> 00:13:10,830 the DNA and make it more stable from the 330 00:13:14,690 --> 00:13:13,140 if you think about the bio signatures we 331 00:13:16,730 --> 00:13:14,700 think that the Econo taste may be a good 332 00:13:19,490 --> 00:13:16,740 candidate because it's all regulated in 333 00:13:20,000 --> 00:13:19,500 these cells Express exposed to the 334 00:13:22,340 --> 00:13:20,010 brines 335 00:13:25,370 --> 00:13:22,350 and it's also very stable at high 336 00:13:27,200 --> 00:13:25,380 salinity and the other aspect that we 337 00:13:30,140 --> 00:13:27,210 found interesting is that the cells are 338 00:13:32,300 --> 00:13:30,150 preserving their their shape 339 00:13:34,280 --> 00:13:32,310 DNA even though they are exposed to very 340 00:13:37,340 --> 00:13:34,290 high salinity conditions and this is 341 00:13:38,870 --> 00:13:37,350 even after four months of incubation so 342 00:13:41,750 --> 00:13:38,880 I want to thank everybody in the team 343 00:13:43,520 --> 00:13:41,760 including me none damage that is just 344 00:13:45,740 --> 00:13:43,530 join our team two weeks ago to help us 345 00:13:56,540 --> 00:13:45,750 process all the proteomic data and our 346 00:14:04,340 --> 00:13:56,550 funding agencies thank you I do we have 347 00:14:06,560 --> 00:14:04,350 any very quick question Justin Lawrence 348 00:14:08,030 --> 00:14:06,570 just super interesting talk I'll say the 349 00:14:09,290 --> 00:14:08,040 second question which is much longer 350 00:14:11,240 --> 00:14:09,300 the first question one as you mentioned 351 00:14:13,640 --> 00:14:11,250 super cool brands how do you hold us a 352 00:14:16,880 --> 00:14:13,650 seawater salinity sample at negative 353 00:14:18,920 --> 00:14:16,890 five for a month how do we hold it 354 00:14:20,540 --> 00:14:18,930 liquid absolutely that's very common 355 00:14:22,940 --> 00:14:20,550 it's the opposite state is how do we 356 00:14:24,650 --> 00:14:22,950 make them freeze so because these are 357 00:14:27,350 --> 00:14:24,660 eppendorf tubes and we are used very 358 00:14:29,600 --> 00:14:27,360 clean water to make our samples the 359 00:14:30,920 --> 00:14:29,610 water juice is in supercooled state 360 00:14:32,870 --> 00:14:30,930 because it doesn't have anything that 361 00:14:37,880 --> 00:14:32,880 nucleates the ice so for us the problem 362 00:14:40,430 --> 00:14:37,890 is actually freezing the samples Kolia 363 00:14:42,320 --> 00:14:40,440 doesn't seem to nucleate the ice we saw 364 00:14:44,120 --> 00:14:42,330 it could help but it doesn't it doesn't 365 00:14:46,760 --> 00:14:44,130 have an effect the only thing we have 366 00:14:53,450 --> 00:14:46,770 found is scratching the tubes that does