1 00:00:00,790 --> 00:00:07,320 [Music] 2 00:00:11,949 --> 00:00:08,709 [Applause] 3 00:00:14,320 --> 00:00:11,959 I am ready my name is Hannah Dawson and 4 00:00:16,060 --> 00:00:14,330 I'm a graduate student at University of 5 00:00:17,290 --> 00:00:16,070 Washington in the School of Oceanography 6 00:00:19,359 --> 00:00:17,300 and today I want to talk to you about 7 00:00:21,310 --> 00:00:19,369 using metabolomics as a method to probe 8 00:00:24,760 --> 00:00:21,320 the physiological adaptations of sea ice 9 00:00:27,339 --> 00:00:24,770 algae so just to orient us to this 10 00:00:29,740 --> 00:00:27,349 extreme environment this is a video 11 00:00:32,589 --> 00:00:29,750 showing you the sea ice extent in the 12 00:00:34,600 --> 00:00:32,599 Arctic over one season so sea ice is an 13 00:00:36,880 --> 00:00:34,610 extreme and dynamic environment here on 14 00:00:39,040 --> 00:00:36,890 earth with four to six percent of the 15 00:00:40,420 --> 00:00:39,050 global ocean area being covered by sea 16 00:00:44,139 --> 00:00:40,430 ice depending on the time of the year 17 00:00:45,819 --> 00:00:44,149 and despite being a relatively harsh 18 00:00:47,799 --> 00:00:45,829 environment a number of organisms have 19 00:00:49,959 --> 00:00:47,809 been able to exploit this habitat and 20 00:00:51,849 --> 00:00:49,969 one of these organisms are sea ice algae 21 00:00:53,829 --> 00:00:51,859 which are single-celled eukaryotic 22 00:00:56,169 --> 00:00:53,839 photosynthetic organisms that can live 23 00:00:57,639 --> 00:00:56,179 within the liquid brine channels formed 24 00:01:00,069 --> 00:00:57,649 in sea ice surrounded by a freshwater 25 00:01:03,579 --> 00:01:00,079 ice matrix so here I'm just showing you 26 00:01:05,530 --> 00:01:03,589 an example of sea ice diatoms inside of 27 00:01:07,600 --> 00:01:05,540 a brine channel but these organisms 28 00:01:08,890 --> 00:01:07,610 contend with a number of challenging 29 00:01:11,050 --> 00:01:08,900 features in this environment and 30 00:01:12,610 --> 00:01:11,060 temperature is one of the largest 31 00:01:14,020 --> 00:01:12,620 challenges in this environment where 32 00:01:16,210 --> 00:01:14,030 throughout the sea ice column 33 00:01:19,240 --> 00:01:16,220 temperature varies greatly on a spatial 34 00:01:21,670 --> 00:01:19,250 and seasonal scale so temperature at the 35 00:01:23,320 --> 00:01:21,680 top of the ice column is much colder and 36 00:01:24,670 --> 00:01:23,330 in contact with the atmosphere while 37 00:01:26,560 --> 00:01:24,680 temperatures at the bottom are much 38 00:01:28,720 --> 00:01:26,570 warmer and closer to sea water 39 00:01:30,610 --> 00:01:28,730 conditions and like I mentioned there's 40 00:01:32,800 --> 00:01:30,620 a liquid brine volume left behind when 41 00:01:35,280 --> 00:01:32,810 seawater freezes and the fat volume also 42 00:01:37,480 --> 00:01:35,290 scales with temperature and lastly 43 00:01:39,460 --> 00:01:37,490 salinity varies throughout the ice 44 00:01:41,530 --> 00:01:39,470 column also with temperature with 45 00:01:43,090 --> 00:01:41,540 salinities of that Bryan being very high 46 00:01:45,580 --> 00:01:43,100 at the top of the ice where it's very 47 00:01:48,040 --> 00:01:45,590 cold and closer to seawater salinities 48 00:01:50,050 --> 00:01:48,050 towards the bottom of the ice and this 49 00:01:52,480 --> 00:01:50,060 is also a variable environment on a 50 00:01:54,460 --> 00:01:52,490 seasonal scale with the melting of sea 51 00:01:56,500 --> 00:01:54,470 ice in the spring and reformation in the 52 00:01:58,060 --> 00:01:56,510 autumn and winter bringing along large 53 00:02:00,700 --> 00:01:58,070 swings and temperature and salinity 54 00:02:04,180 --> 00:02:00,710 reaching near freshwater conditions in 55 00:02:09,430 --> 00:02:04,190 melt season and conditions temperatures 56 00:02:11,140 --> 00:02:09,440 above zero but despite this sea ice 57 00:02:13,270 --> 00:02:11,150 algae have been able to survive and 58 00:02:16,240 --> 00:02:13,280 thrive in this environment and here I'm 59 00:02:17,880 --> 00:02:16,250 showing you a video of what it looks 60 00:02:20,870 --> 00:02:17,890 like underneath the sea ice in the 61 00:02:22,730 --> 00:02:20,880 Arctic in Nootka Davich Alaska and here 62 00:02:24,590 --> 00:02:22,740 stuck a gopro down through a core hole 63 00:02:26,300 --> 00:02:24,600 in the ice and I think this is a really 64 00:02:28,610 --> 00:02:26,310 cool video it just gives us a glimpse at 65 00:02:30,980 --> 00:02:28,620 this otherworldly environment where 66 00:02:32,150 --> 00:02:30,990 these organisms are you can see a brown 67 00:02:34,370 --> 00:02:32,160 layer on the bottom of that ice and 68 00:02:36,410 --> 00:02:34,380 those are all sea ice algae mostly 69 00:02:37,700 --> 00:02:36,420 dominated by diatoms and in this 70 00:02:39,500 --> 00:02:37,710 environment they can reach these high 71 00:02:41,810 --> 00:02:39,510 abundances like we're seeing here high 72 00:02:43,340 --> 00:02:41,820 rates of primary production and serve as 73 00:02:45,380 --> 00:02:43,350 an important food source for a number of 74 00:02:47,720 --> 00:02:45,390 organisms and play largely into 75 00:02:48,800 --> 00:02:47,730 biogeochemical cycling and climate 76 00:02:52,040 --> 00:02:48,810 active gas production in this 77 00:02:53,900 --> 00:02:52,050 environment but we still don't have a 78 00:02:57,200 --> 00:02:53,910 very good understanding of how they're 79 00:02:58,940 --> 00:02:57,210 adapted to do this so I'm interested in 80 00:03:01,160 --> 00:02:58,950 how sea ice algae are physiologically 81 00:03:03,020 --> 00:03:01,170 adapted to survive and thrive in the 82 00:03:04,820 --> 00:03:03,030 extreme and variable conditions found in 83 00:03:08,780 --> 00:03:04,830 sea ice and how we can probe those 84 00:03:10,460 --> 00:03:08,790 adaptations so one way we can do this is 85 00:03:12,320 --> 00:03:10,470 by better understanding the metabolic 86 00:03:14,150 --> 00:03:12,330 reactions going on inside of the cell or 87 00:03:16,760 --> 00:03:14,160 the suite of biochemical reactions that 88 00:03:19,010 --> 00:03:16,770 allow a cell to be alive and this is 89 00:03:20,630 --> 00:03:19,020 just a glimpse at how complicated these 90 00:03:23,330 --> 00:03:20,640 systems can be these are all the 91 00:03:25,340 --> 00:03:23,340 metabolic pathways in a and example 92 00:03:27,530 --> 00:03:25,350 diatoms cell where each line in this 93 00:03:30,560 --> 00:03:27,540 diagram is a metabolic reaction mediated 94 00:03:32,090 --> 00:03:30,570 by enzymes and along each of these lines 95 00:03:34,160 --> 00:03:32,100 there are a lot of precursors 96 00:03:35,600 --> 00:03:34,170 intermediates and products of these 97 00:03:38,390 --> 00:03:35,610 reactions which I'll refer to as 98 00:03:40,790 --> 00:03:38,400 metabolites and one way that we can get 99 00:03:42,380 --> 00:03:40,800 a better idea of what in tablets are 100 00:03:45,310 --> 00:03:42,390 inside of a cell how they're regulated 101 00:03:49,120 --> 00:03:45,320 is by using a method called metabolomics 102 00:03:51,770 --> 00:03:49,130 so metabolomics we take this entire 103 00:03:55,070 --> 00:03:51,780 intracellular pool of metabolites inside 104 00:03:56,540 --> 00:03:55,080 of a cell extract them and then use a 105 00:03:58,940 --> 00:03:56,550 tandem liquid chromatography mass 106 00:04:00,920 --> 00:03:58,950 spectrometry approach in order to get 107 00:04:04,400 --> 00:04:00,930 the entire pool of detectable 108 00:04:06,140 --> 00:04:04,410 metabolites and in this each compound is 109 00:04:07,940 --> 00:04:06,150 represented by a peak on the mass spec 110 00:04:10,820 --> 00:04:07,950 and the area underneath of that peak is 111 00:04:12,470 --> 00:04:10,830 correlated with the relative abundance 112 00:04:14,570 --> 00:04:12,480 of that compound and to give you an idea 113 00:04:16,280 --> 00:04:14,580 of scale of how many compounds we can 114 00:04:20,090 --> 00:04:16,290 look at simultaneously with this method 115 00:04:22,310 --> 00:04:20,100 we end up with in my sample type around 116 00:04:23,870 --> 00:04:22,320 19,000 mass features or Peaks which 117 00:04:27,050 --> 00:04:23,880 could be potential compounds but to try 118 00:04:30,020 --> 00:04:27,060 to identify but another approach is to 119 00:04:32,060 --> 00:04:30,030 look at a pared down list of compounds 120 00:04:33,860 --> 00:04:32,070 that were interested in going into a 121 00:04:35,980 --> 00:04:33,870 study and I'm going to 122 00:04:38,300 --> 00:04:35,990 to those as targeted metabolites and 123 00:04:40,129 --> 00:04:38,310 again for scale this is around 124 00:04:43,250 --> 00:04:40,139 eighty-eight compounds in my sample type 125 00:04:45,050 --> 00:04:43,260 and specifically today I'm going to be 126 00:04:46,879 --> 00:04:45,060 talking about a group of compounds 127 00:04:50,090 --> 00:04:46,889 referred to as compatible solutes and 128 00:04:52,040 --> 00:04:50,100 I'm interested here in how altering 129 00:04:54,350 --> 00:04:52,050 temperature and salinity conditions 130 00:04:58,340 --> 00:04:54,360 changed the compatible solute pools and 131 00:04:59,870 --> 00:04:58,350 sea ice algae and I'm interested in this 132 00:05:01,640 --> 00:04:59,880 because compatible solutes are these 133 00:05:03,260 --> 00:05:01,650 small organic molecules that can be 134 00:05:05,330 --> 00:05:03,270 maintained at very high intracellular 135 00:05:08,659 --> 00:05:05,340 concentrations serve a number of roles 136 00:05:09,500 --> 00:05:08,669 inside a wide variety of cells and two 137 00:05:10,850 --> 00:05:09,510 of the roles that can serve as 138 00:05:13,520 --> 00:05:10,860 mitigating salinity and temperature 139 00:05:15,620 --> 00:05:13,530 stress and they can respond very rapidly 140 00:05:17,719 --> 00:05:15,630 to environmental change so if we start 141 00:05:19,490 --> 00:05:17,729 with an algal cell out in the 142 00:05:20,600 --> 00:05:19,500 environment in a marine environment we 143 00:05:22,490 --> 00:05:20,610 would expect them to have a baseline 144 00:05:25,520 --> 00:05:22,500 concentration of compatible solutes in 145 00:05:27,110 --> 00:05:25,530 order to mitigate osmotic stress between 146 00:05:30,379 --> 00:05:27,120 the interior of the cell and their 147 00:05:31,700 --> 00:05:30,389 saline environment surrounding them but 148 00:05:34,250 --> 00:05:31,710 if they're in colder or saltier 149 00:05:35,450 --> 00:05:34,260 conditions like in sea ice brines we 150 00:05:36,920 --> 00:05:35,460 would expect them to have higher 151 00:05:38,719 --> 00:05:36,930 concentrations of these compatible 152 00:05:41,930 --> 00:05:38,729 solutes to prevent water loss our 153 00:05:44,240 --> 00:05:41,940 freezing and if they're introduced into 154 00:05:46,279 --> 00:05:44,250 warmer and fresher conditions algal 155 00:05:47,570 --> 00:05:46,289 cells can rapidly dump these compatible 156 00:05:50,330 --> 00:05:47,580 solutes out into the surrounding 157 00:05:52,070 --> 00:05:50,340 environment and once they're in the 158 00:05:53,810 --> 00:05:52,080 environment they can be taken up and 159 00:05:55,969 --> 00:05:53,820 used as compatible solutes again by 160 00:05:57,710 --> 00:05:55,979 other organisms used as a carbon 161 00:05:59,600 --> 00:05:57,720 nitrogen or an energy source by 162 00:06:01,909 --> 00:05:59,610 heterotrophic bacteria in the sea ice or 163 00:06:04,520 --> 00:06:01,919 serve as climate active gas precursors 164 00:06:06,770 --> 00:06:04,530 and here are just three examples of 165 00:06:08,719 --> 00:06:06,780 compatible solutes that have been found 166 00:06:11,089 --> 00:06:08,729 to be abundant in sea ice algae in 167 00:06:13,520 --> 00:06:11,099 particular including DM SP the climate 168 00:06:17,450 --> 00:06:13,530 active gas precursor glycine betaine and 169 00:06:20,000 --> 00:06:17,460 prolene so to get at this question of 170 00:06:21,260 --> 00:06:20,010 how CSL G used compatible solutes in 171 00:06:21,770 --> 00:06:21,270 response to changes in temperature and 172 00:06:24,290 --> 00:06:21,780 salinity 173 00:06:26,629 --> 00:06:24,300 we used a lab study of the Antarctic sea 174 00:06:28,040 --> 00:06:26,639 ice diatom mitchell Laconte grown at two 175 00:06:30,020 --> 00:06:28,050 different temperatures and two different 176 00:06:32,900 --> 00:06:30,030 salinities minus 1 and plus 4 degrees 177 00:06:34,969 --> 00:06:32,910 Celsius and solemnities of 32 and 41 and 178 00:06:37,190 --> 00:06:34,979 then compared this to environmental 179 00:06:40,279 --> 00:06:37,200 samples collected in the Arctic in new 180 00:06:42,440 --> 00:06:40,289 geographic in a mixed sea ice community 181 00:06:44,480 --> 00:06:42,450 dominated by a niches species and this 182 00:06:46,540 --> 00:06:44,490 was at similar conditions around minus 1 183 00:06:50,710 --> 00:06:46,550 degrees Celsius and a salinity 184 00:06:53,080 --> 00:06:50,720 32 and first off we could see from 185 00:06:54,340 --> 00:06:53,090 looking at the general physiology of the 186 00:06:56,560 --> 00:06:54,350 cells growing these different treatments 187 00:06:57,910 --> 00:06:56,570 there were relatively small changes in 188 00:07:00,220 --> 00:06:57,920 something like growth rates so we saw 189 00:07:02,110 --> 00:07:00,230 less than 10% changes in growth rate 190 00:07:04,270 --> 00:07:02,120 which is in stark contrast to a lot of 191 00:07:06,010 --> 00:07:04,280 studies of compatible solutes that use 192 00:07:08,050 --> 00:07:06,020 large shock treatments with bigger 193 00:07:10,900 --> 00:07:08,060 temperature and salinity changes where 194 00:07:12,160 --> 00:07:10,910 growth often is reduced or stopped so 195 00:07:14,260 --> 00:07:12,170 we're assuming that these cells are 196 00:07:16,000 --> 00:07:14,270 generally well adapted to the conditions 197 00:07:18,070 --> 00:07:16,010 we grew them under but we still saw 198 00:07:19,660 --> 00:07:18,080 large changes in metabolite abundances 199 00:07:23,080 --> 00:07:19,670 including those compatible solutes we're 200 00:07:24,970 --> 00:07:23,090 interested in so just to give you a 201 00:07:26,680 --> 00:07:24,980 broad idea of the power of this 202 00:07:29,080 --> 00:07:26,690 metabolomics method we wanted to first 203 00:07:30,490 --> 00:07:29,090 look at a suite of potential compatible 204 00:07:32,140 --> 00:07:30,500 solutes that we've seen evidence in 205 00:07:34,660 --> 00:07:32,150 other organisms that they could be 206 00:07:37,690 --> 00:07:34,670 compatible solutes and here this is 207 00:07:40,390 --> 00:07:37,700 again just this matrix of cold vs warm 208 00:07:43,210 --> 00:07:40,400 and salty versus fresh and when we 209 00:07:45,850 --> 00:07:43,220 looked at this potential broad suite we 210 00:07:48,250 --> 00:07:45,860 saw a number of reactions we would 211 00:07:50,440 --> 00:07:48,260 expect compatible solutes to fall mainly 212 00:07:53,130 --> 00:07:50,450 up here higher in abundance in the cold 213 00:07:56,500 --> 00:07:53,140 and salty treatment but we saw some 214 00:07:58,720 --> 00:07:56,510 respond that way and some respond only 215 00:08:01,560 --> 00:07:58,730 in higher abundance in just the cold 216 00:08:03,760 --> 00:08:01,570 treatment or just the salty treatment 217 00:08:05,650 --> 00:08:03,770 another group that responded either 218 00:08:07,240 --> 00:08:05,660 oppositely or had mixed reactions to 219 00:08:09,550 --> 00:08:07,250 what we'd expect for compatible solute 220 00:08:11,590 --> 00:08:09,560 action and another group that were not 221 00:08:12,820 --> 00:08:11,600 significantly changed in response to any 222 00:08:14,800 --> 00:08:12,830 of the temperature or salinity 223 00:08:17,380 --> 00:08:14,810 treatments we used here so we're seeing 224 00:08:19,600 --> 00:08:17,390 a really broad reaction to these 225 00:08:21,310 --> 00:08:19,610 conditions and today I'm just going to 226 00:08:24,510 --> 00:08:21,320 talk a little bit more about a few of 227 00:08:26,380 --> 00:08:24,520 these compounds in particular so those 3 228 00:08:29,440 --> 00:08:26,390 compatible solutes I mentioned that are 229 00:08:30,400 --> 00:08:29,450 common in ice algae in particular here 230 00:08:33,250 --> 00:08:30,410 I'm showing you prolene 231 00:08:34,660 --> 00:08:33,260 DM SP and attained for prolene we saw 232 00:08:36,520 --> 00:08:34,670 that even though we were getting those 233 00:08:38,530 --> 00:08:36,530 less than 10 percent growth rate changes 234 00:08:40,390 --> 00:08:38,540 really large magnitude changes in the 235 00:08:42,790 --> 00:08:40,400 concentration of prolene both in 236 00:08:44,080 --> 00:08:42,800 response to cold temperature and in 237 00:08:45,640 --> 00:08:44,090 response to higher salinity with an 238 00:08:47,890 --> 00:08:45,650 additive effect up to a four-fold 239 00:08:50,530 --> 00:08:47,900 increase in pearling concentrations and 240 00:08:53,530 --> 00:08:50,540 reaching high concentrations around 50 241 00:08:56,230 --> 00:08:53,540 milli molar and here I have this as 242 00:08:57,970 --> 00:08:56,240 normalized peak area which is like 243 00:08:59,630 --> 00:08:57,980 relative abundance but we do have 244 00:09:03,130 --> 00:08:59,640 estimates for absolute concentration 245 00:09:05,750 --> 00:09:03,140 well which is that fifty mili molar and 246 00:09:06,950 --> 00:09:05,760 then if we look at DMS P again we're 247 00:09:08,450 --> 00:09:06,960 looking at the normalized peak area 248 00:09:09,890 --> 00:09:08,460 against the salinities and the two 249 00:09:12,020 --> 00:09:09,900 different temperature treatments minus 250 00:09:13,640 --> 00:09:12,030 one and plus for DMS P increased in 251 00:09:16,040 --> 00:09:13,650 response to cold temperature and higher 252 00:09:17,570 --> 00:09:16,050 salinity around twofold but did not show 253 00:09:19,370 --> 00:09:17,580 the additive effect we saw four prolene 254 00:09:21,200 --> 00:09:19,380 and we don't have absolute 255 00:09:23,300 --> 00:09:21,210 concentrations for DMS P using this 256 00:09:25,610 --> 00:09:23,310 method but we can assume from previous 257 00:09:28,400 --> 00:09:25,620 work they're similarly high and for 258 00:09:31,370 --> 00:09:28,410 glycine betaine there are at pretty high 259 00:09:33,620 --> 00:09:31,380 concentration still between 27 and 60 1 260 00:09:34,910 --> 00:09:33,630 millimolar but showed a more complicated 261 00:09:36,620 --> 00:09:34,920 response than what we're seeing for 262 00:09:38,060 --> 00:09:36,630 these other candidates with a general 263 00:09:41,230 --> 00:09:38,070 increase in response to higher salinity 264 00:09:44,270 --> 00:09:41,240 but a more complicated temperature story 265 00:09:46,700 --> 00:09:44,280 and one of the cool things that this 266 00:09:48,650 --> 00:09:46,710 method can do is not only look at those 267 00:09:50,630 --> 00:09:48,660 compatible solutes we already know 268 00:09:52,730 --> 00:09:50,640 exists and important in ice algal cells 269 00:09:54,920 --> 00:09:52,740 but to find new potential candidates 270 00:09:56,690 --> 00:09:54,930 that is compatible solutes and one of 271 00:09:59,450 --> 00:09:56,700 these that came out of the study was d 272 00:10:02,630 --> 00:09:59,460 HPS which is dihydroxy propane sulfonate 273 00:10:04,490 --> 00:10:02,640 and this is a relatively newly studied 274 00:10:06,170 --> 00:10:04,500 metabolite in the oceans in general and 275 00:10:08,690 --> 00:10:06,180 we don't have a great idea what it's 276 00:10:11,270 --> 00:10:08,700 doing in any ocean environment let alone 277 00:10:13,760 --> 00:10:11,280 in sea ice but it has shown potential as 278 00:10:16,730 --> 00:10:13,770 a compatible solute and we are seeing 279 00:10:19,310 --> 00:10:16,740 similar results here where a thps was 280 00:10:21,590 --> 00:10:19,320 increased around twofold in response to 281 00:10:23,540 --> 00:10:21,600 cold temperature and to higher salinity 282 00:10:26,180 --> 00:10:23,550 but again not the additive effect we saw 283 00:10:28,700 --> 00:10:26,190 with prolene but reaching really high 284 00:10:31,370 --> 00:10:28,710 intracellular concentrations up to 91 285 00:10:34,100 --> 00:10:31,380 milli molar and just to give you an 286 00:10:36,670 --> 00:10:34,110 example to ground that in a temperate 287 00:10:39,200 --> 00:10:36,680 diatom species celesia cyrus sudan ana 288 00:10:41,330 --> 00:10:39,210 DHS has only found around seven 289 00:10:43,250 --> 00:10:41,340 millimolar this is potentially a really 290 00:10:46,610 --> 00:10:43,260 potent compatible solute in the sea ice 291 00:10:49,190 --> 00:10:46,620 environment in particular and the next 292 00:10:51,710 --> 00:10:49,200 thing so CH the CI sarĂ  Tom Mitchell 293 00:10:53,630 --> 00:10:51,720 Laconte maintains and regulates a 294 00:10:55,580 --> 00:10:53,640 diverse suite of compatible solutes with 295 00:10:57,290 --> 00:10:55,590 variable sensitivities to temperature 296 00:10:58,700 --> 00:10:57,300 and salinity even when growth is not 297 00:11:00,550 --> 00:10:58,710 large virtually change but the next 298 00:11:02,960 --> 00:11:00,560 thing we wanted to look at is if the 299 00:11:05,390 --> 00:11:02,970 metabolize diatom culture was similar to 300 00:11:06,500 --> 00:11:05,400 that of a mixed he ate sea ice community 301 00:11:09,650 --> 00:11:06,510 and what's actually going on in the 302 00:11:12,200 --> 00:11:09,660 environment so here I'm just showing you 303 00:11:13,290 --> 00:11:12,210 the overall number of detected targeted 304 00:11:14,850 --> 00:11:13,300 metabolites from that 305 00:11:17,490 --> 00:11:14,860 smaller list I mentioned earlier and 306 00:11:19,440 --> 00:11:17,500 this is for the field samples which were 307 00:11:21,120 --> 00:11:19,450 a mixed community but dominated by a 308 00:11:23,519 --> 00:11:21,130 niche Agenor as well nature for Geetha 309 00:11:26,100 --> 00:11:23,529 and comparing that to our niche Allah 310 00:11:27,720 --> 00:11:26,110 can take culture and we conceded the 311 00:11:29,819 --> 00:11:27,730 majority of metabolites in this targeted 312 00:11:31,949 --> 00:11:29,829 pool were shared but there were unique 313 00:11:33,389 --> 00:11:31,959 compounds found in both sample types 314 00:11:37,050 --> 00:11:33,399 with more unique compounds found in the 315 00:11:38,730 --> 00:11:37,060 field and the next thing I wanted to 316 00:11:40,410 --> 00:11:38,740 look at is how the concentrations of the 317 00:11:43,949 --> 00:11:40,420 compatible solutes in particular compare 318 00:11:45,329 --> 00:11:43,959 between these sample types and here I'm 319 00:11:47,340 --> 00:11:45,339 just showing you for a select number of 320 00:11:49,079 --> 00:11:47,350 compatible solutes the absolute 321 00:11:50,670 --> 00:11:49,089 concentrations for both the field and 322 00:11:52,440 --> 00:11:50,680 the culture and the first thing I want 323 00:11:55,019 --> 00:11:52,450 to point out is the difference in y axis 324 00:11:56,610 --> 00:11:55,029 where the right axis in green is the 325 00:11:58,560 --> 00:11:56,620 millimoles of metabolites per mole 326 00:12:01,500 --> 00:11:58,570 carbon in the culture and the right in 327 00:12:02,699 --> 00:12:01,510 blue is in the field and you might 328 00:12:04,170 --> 00:12:02,709 notice that there is about a tenfold 329 00:12:05,220 --> 00:12:04,180 difference in concentration between 330 00:12:06,449 --> 00:12:05,230 these two sample types with 331 00:12:08,790 --> 00:12:06,459 concentrations being higher in the 332 00:12:10,410 --> 00:12:08,800 culture which we would expect and 333 00:12:12,810 --> 00:12:10,420 comparing a pure exponentially growing 334 00:12:14,190 --> 00:12:12,820 culture to a mixed field community where 335 00:12:16,800 --> 00:12:14,200 all the organic matter might not 336 00:12:19,410 --> 00:12:16,810 necessarily be living and growing but 337 00:12:21,000 --> 00:12:19,420 overall we saw that DHBs was the most 338 00:12:23,010 --> 00:12:21,010 abundant of the compatible solutes we 339 00:12:25,230 --> 00:12:23,020 quantified in both sample types with 340 00:12:28,530 --> 00:12:25,240 beteen and prolene scaling down in a 341 00:12:30,180 --> 00:12:28,540 similar pattern from that but there were 342 00:12:32,010 --> 00:12:30,190 also a number of compatible solute 343 00:12:33,810 --> 00:12:32,020 candidates that were in relatively high 344 00:12:35,970 --> 00:12:33,820 concentrations in the field like home 345 00:12:38,819 --> 00:12:35,980 marine and ECT onic acid that were not 346 00:12:41,460 --> 00:12:38,829 found in high levels within our culture 347 00:12:42,900 --> 00:12:41,470 samples and another group of compatible 348 00:12:45,060 --> 00:12:42,910 solute candidates that were strictly 349 00:12:46,980 --> 00:12:45,070 unique to the field not detected at all 350 00:12:48,480 --> 00:12:46,990 in our culture's but at relatively low 351 00:12:50,490 --> 00:12:48,490 concentrations hinting at some 352 00:12:53,449 --> 00:12:50,500 interesting possible species specific 353 00:12:56,340 --> 00:12:53,459 differences in compatible solute use and 354 00:12:57,870 --> 00:12:56,350 just to give you an idea of the scale of 355 00:12:58,889 --> 00:12:57,880 the concentrations of these compounds 356 00:13:01,500 --> 00:12:58,899 out in the environment and their 357 00:13:03,269 --> 00:13:01,510 potential to impact the environment I 358 00:13:05,550 --> 00:13:03,279 want to remind you that these are highly 359 00:13:08,310 --> 00:13:05,560 mobile compounds that can be rapidly 360 00:13:09,900 --> 00:13:08,320 dumped from cells such as during the 361 00:13:12,199 --> 00:13:09,910 spring melt when they're introduced into 362 00:13:15,120 --> 00:13:12,209 those warmer and fresher conditions and 363 00:13:15,990 --> 00:13:15,130 they can dump up to 80% of their 364 00:13:18,810 --> 00:13:16,000 compatible sawyou 365 00:13:21,240 --> 00:13:18,820 inventory in less than an hour so if we 366 00:13:23,880 --> 00:13:21,250 just take the nitrogen containing 367 00:13:26,310 --> 00:13:23,890 compounds I have quantified here and 368 00:13:27,030 --> 00:13:26,320 pull them together this is equivalent to 369 00:13:29,129 --> 00:13:27,040 around 370 00:13:30,870 --> 00:13:29,139 point two micro molar concentration of 371 00:13:32,430 --> 00:13:30,880 organic nitrogen that's capable of 372 00:13:34,560 --> 00:13:32,440 rapidly flux into the surrounding 373 00:13:37,379 --> 00:13:34,570 environment and this is on a comparable 374 00:13:39,900 --> 00:13:37,389 scale to the inorganic nature 375 00:13:42,060 --> 00:13:39,910 concentrations in Batam sea ice during 376 00:13:45,120 --> 00:13:42,070 the spring which are around 0.5 to 10 377 00:13:48,120 --> 00:13:45,130 micromolar nitrate so this is a 378 00:13:54,050 --> 00:13:48,130 potential large source of nitrogen for 379 00:13:56,999 --> 00:13:54,060 this environment so to wrap up I want to 380 00:13:59,040 --> 00:13:57,009 conclude that metabolomic is a powerful 381 00:14:01,230 --> 00:13:59,050 tool that can detect a wide range of 382 00:14:03,360 --> 00:14:01,240 intracellular metabolites simultaneously 383 00:14:04,800 --> 00:14:03,370 in microbial organisms and quantify 384 00:14:07,559 --> 00:14:04,810 their response to varying environmental 385 00:14:09,480 --> 00:14:07,569 conditions here we saw that CAS algae 386 00:14:11,430 --> 00:14:09,490 maintained and tightly regulated complex 387 00:14:12,960 --> 00:14:11,440 suite of compatible solutes with 388 00:14:16,290 --> 00:14:12,970 variable sensitivities to temperature 389 00:14:17,490 --> 00:14:16,300 and salinity and to follow up on this we 390 00:14:19,920 --> 00:14:17,500 want to do continued work on 391 00:14:22,829 --> 00:14:19,930 environmental metabolomics of sea ice 392 00:14:25,139 --> 00:14:22,839 and compatible solute use in sea ice and 393 00:14:27,389 --> 00:14:25,149 we're doing that with an NSF funded 394 00:14:29,040 --> 00:14:27,399 project studying the spring melt season 395 00:14:31,860 --> 00:14:29,050 in Antarctica and seeing how that can be 396 00:14:35,730 --> 00:14:31,870 the sea ice community response to melt 397 00:14:37,559 --> 00:14:35,740 conditions so I'd like to thank everyone 398 00:14:39,329 --> 00:14:37,569 who is involved in this project everyone 399 00:14:41,610 --> 00:14:39,339 who helped generate the data it's 400 00:14:44,069 --> 00:14:41,620 particularly the young angles and Deming 401 00:14:46,270 --> 00:14:44,079 labs at u-dub and I'll take any 402 00:14:51,930 --> 00:14:48,829 [Music] 403 00:14:54,420 --> 00:14:51,940 thank you very much Hannah we have time 404 00:14:56,970 --> 00:14:54,430 for one question so there's a microphone 405 00:14:58,530 --> 00:14:56,980 up front and center please identify 406 00:15:02,519 --> 00:14:58,540 yourself when you ask your question 407 00:15:08,480 --> 00:15:02,529 state your name and institution anybody 408 00:15:11,100 --> 00:15:08,490 have any questions for Hannah thank you 409 00:15:13,199 --> 00:15:11,110 hi my name is joy I'm at Carnegie 410 00:15:15,420 --> 00:15:13,209 Institute in Washington DC really great 411 00:15:16,949 --> 00:15:15,430 thank you for sharing your work um so 412 00:15:19,110 --> 00:15:16,959 you talked about the eat flux of these 413 00:15:21,059 --> 00:15:19,120 metabolites containing nitrogen is there 414 00:15:23,879 --> 00:15:21,069 a way for you to understand the 415 00:15:26,069 --> 00:15:23,889 partitioning of extracellular versus 416 00:15:27,990 --> 00:15:26,079 intracellular metabolites with this 417 00:15:30,480 --> 00:15:28,000 method currently it's a little difficult 418 00:15:32,249 --> 00:15:30,490 to look at the dissolved pool of 419 00:15:34,050 --> 00:15:32,259 compatible solutes but that is something 420 00:15:35,460 --> 00:15:34,060 that the Ingalls lab is currently 421 00:15:36,629 --> 00:15:35,470 working on adjusting and that's 422 00:15:38,160 --> 00:15:36,639 something that hopefully in the future 423 00:15:39,809 --> 00:15:38,170 we'll be able to quantify a little bit 424 00:15:40,030 --> 00:15:39,819 better but currently we're just looking 425 00:15:46,860 --> 00:15:40,040 at the