1 00:00:12,709 --> 00:00:08,790 so right now we have a special talk in 2 00:00:14,390 --> 00:00:12,719 the schedule uh from the rfg that just 3 00:00:16,710 --> 00:00:14,400 happened this last weekend 4 00:00:18,070 --> 00:00:16,720 and so this is uh for you guys that 5 00:00:20,390 --> 00:00:18,080 don't know 6 00:00:22,710 --> 00:00:20,400 part of abroad con every year we have 7 00:00:24,310 --> 00:00:22,720 hosted this research focus group in 8 00:00:27,269 --> 00:00:24,320 which it's sort of a 9 00:00:29,509 --> 00:00:27,279 very intense uh two to three day writing 10 00:00:30,470 --> 00:00:29,519 proposal writing boot camp 11 00:00:33,430 --> 00:00:30,480 where 12 00:00:35,830 --> 00:00:33,440 a bunch of you guys show up 13 00:00:37,270 --> 00:00:35,840 just write furiously for two days 14 00:00:39,190 --> 00:00:37,280 straight 15 00:00:42,310 --> 00:00:39,200 and then we have this whole proposal 16 00:00:44,310 --> 00:00:42,320 review process you present your work and 17 00:00:45,670 --> 00:00:44,320 everybody just gets together votes on it 18 00:00:47,590 --> 00:00:45,680 and has a good time writing the 19 00:00:49,510 --> 00:00:47,600 proposals talking about the proposals 20 00:00:51,830 --> 00:00:49,520 and just getting used to 21 00:00:53,590 --> 00:00:51,840 the entire proposal writing process 22 00:00:55,590 --> 00:00:53,600 so if it's it's something very important 23 00:00:57,270 --> 00:00:55,600 for early career astrobiologists to take 24 00:00:59,750 --> 00:00:57,280 a part of and it's something that if 25 00:01:01,670 --> 00:00:59,760 you're going to future ab grad cons that 26 00:01:03,349 --> 00:01:01,680 you should consider it's very helpful 27 00:01:05,910 --> 00:01:03,359 not only for writing proposals but 28 00:01:07,830 --> 00:01:05,920 getting prepared for your candidacy 29 00:01:09,429 --> 00:01:07,840 even getting prepared for your defense 30 00:01:11,190 --> 00:01:09,439 but something as scientists that we 31 00:01:12,950 --> 00:01:11,200 typically have to do a lot of is this 32 00:01:14,789 --> 00:01:12,960 proposal writing stuff 33 00:01:17,109 --> 00:01:14,799 and so 34 00:01:19,749 --> 00:01:17,119 from this last weekend 35 00:01:23,910 --> 00:01:19,759 this is the winning proposal that was 36 00:01:25,910 --> 00:01:23,920 chosen and so you can see a highlight of 37 00:01:27,990 --> 00:01:25,920 the work that is done over this weekend 38 00:01:30,870 --> 00:01:28,000 and can see what can come out of this 39 00:01:33,270 --> 00:01:30,880 and how awesome the projects can be 40 00:01:35,749 --> 00:01:33,280 so group a 41 00:01:42,950 --> 00:01:35,759 go and present 42 00:01:46,469 --> 00:01:44,069 all right well thank you very much 43 00:01:47,910 --> 00:01:46,479 bradley thanks everyone for coming 44 00:01:50,469 --> 00:01:47,920 we're going to completely jump ship from 45 00:01:53,190 --> 00:01:50,479 what the first session was about and go 46 00:01:55,670 --> 00:01:53,200 to some talks about biology 47 00:01:57,910 --> 00:01:55,680 life on earth has come to fill almost 48 00:01:59,990 --> 00:01:57,920 every niche we can imagine 49 00:02:02,630 --> 00:02:00,000 living in marginal environments and 50 00:02:04,149 --> 00:02:02,640 extreme environments as well as well 51 00:02:07,429 --> 00:02:04,159 extremes of 52 00:02:09,190 --> 00:02:07,439 things like pressure ph salinity as well 53 00:02:11,270 --> 00:02:09,200 as temperature 54 00:02:12,710 --> 00:02:11,280 finding out how life can survive in 55 00:02:15,190 --> 00:02:12,720 these various extremes is really 56 00:02:17,350 --> 00:02:15,200 important for astrobiology to understand 57 00:02:19,510 --> 00:02:17,360 the origins and evolution of life 58 00:02:21,110 --> 00:02:19,520 but also how life might thrive elsewhere 59 00:02:23,350 --> 00:02:21,120 in the universe 60 00:02:25,350 --> 00:02:23,360 and so for our research we were studying 61 00:02:27,750 --> 00:02:25,360 or proposing to study 62 00:02:29,510 --> 00:02:27,760 an algal strain that has the capability 63 00:02:30,710 --> 00:02:29,520 of surviving at extremely cold 64 00:02:31,990 --> 00:02:30,720 temperatures 65 00:02:35,670 --> 00:02:32,000 this alga 66 00:02:37,750 --> 00:02:35,680 a species of the genus klebsormidium has 67 00:02:39,589 --> 00:02:37,760 been found in environments across the 68 00:02:42,390 --> 00:02:39,599 planet some of those marginal some of 69 00:02:43,750 --> 00:02:42,400 those extreme in extremes of extremely 70 00:02:46,550 --> 00:02:43,760 low ph 71 00:02:49,110 --> 00:02:46,560 high contaminant metal abundances 72 00:02:51,509 --> 00:02:49,120 extremes of desiccation and extremely 73 00:02:53,350 --> 00:02:51,519 low temperatures they've been found in 74 00:02:55,190 --> 00:02:53,360 some cases to survive down to negative 75 00:02:56,869 --> 00:02:55,200 40 degrees celsius 76 00:03:00,070 --> 00:02:56,879 and so we're going to talk to you about 77 00:03:01,830 --> 00:03:00,080 one strain that jessica has isolated and 78 00:03:04,390 --> 00:03:01,840 the mechanisms we're searching for in 79 00:03:05,750 --> 00:03:04,400 this organism that allow it to survive 80 00:03:06,949 --> 00:03:05,760 in the cold 81 00:03:11,830 --> 00:03:06,959 and with that jessica will tell you 82 00:03:16,550 --> 00:03:14,070 so i'll be talking a little bit about 83 00:03:20,790 --> 00:03:16,560 our where we found this alga 84 00:03:23,589 --> 00:03:20,800 and that would be in colorado so 85 00:03:25,350 --> 00:03:23,599 we have this region of hydrothermal 86 00:03:29,030 --> 00:03:25,360 alteration that's rich with sulfide 87 00:03:31,030 --> 00:03:29,040 minerals to include iron copper 88 00:03:32,789 --> 00:03:31,040 silver 89 00:03:34,789 --> 00:03:32,799 and gold so these are traditionally 90 00:03:36,949 --> 00:03:34,799 mined and they have been traditionally 91 00:03:38,630 --> 00:03:36,959 mined and this a lot all along this 92 00:03:40,869 --> 00:03:38,640 region of the 93 00:03:42,550 --> 00:03:40,879 rocky mountains so the field site where 94 00:03:44,789 --> 00:03:42,560 i collected this alga was in the 95 00:03:51,910 --> 00:03:44,799 silverton caldera 96 00:03:53,910 --> 00:03:51,920 san juan mountains in southern colorado 97 00:03:56,070 --> 00:03:53,920 and that region is also characterized by 98 00:03:58,630 --> 00:03:56,080 the heavy mining activity historically 99 00:04:00,710 --> 00:03:58,640 it's been mined so it's been about 150 100 00:04:02,550 --> 00:04:00,720 years 200 years that it's been mined 101 00:04:05,190 --> 00:04:02,560 this is the red mountain where you can 102 00:04:08,949 --> 00:04:05,200 see all the sulfide weathering so when 103 00:04:11,990 --> 00:04:08,959 sulfide minerals weather they whether to 104 00:04:13,830 --> 00:04:12,000 oxidize sulfur to sulfate and oxidize 105 00:04:17,030 --> 00:04:13,840 the metals like iron 2 goes to iron 106 00:04:19,990 --> 00:04:17,040 three which you see as the rust color 107 00:04:21,830 --> 00:04:20,000 and what happens when uh the ore is 108 00:04:24,070 --> 00:04:21,840 extracted from these sulfide minerals 109 00:04:26,550 --> 00:04:24,080 from the from the mountains 110 00:04:29,990 --> 00:04:26,560 you get mine tailing so mine waste so 111 00:04:33,110 --> 00:04:30,000 you get rock piles that are upstream of 112 00:04:35,909 --> 00:04:33,120 hydrogeologic features so what happens 113 00:04:38,150 --> 00:04:35,919 is we get groundwater runoff from 114 00:04:40,310 --> 00:04:38,160 underneath from groundwater and 115 00:04:42,150 --> 00:04:40,320 precipitation so what we end up getting 116 00:04:44,230 --> 00:04:42,160 is this runoff that's toxic to aquatic 117 00:04:47,110 --> 00:04:44,240 life and it's rich in metals here you 118 00:04:49,990 --> 00:04:47,120 see there's nothing growing where we get 119 00:04:52,070 --> 00:04:50,000 the runoff from the acidic mine drainage 120 00:04:53,430 --> 00:04:52,080 and this is the overall equation for 121 00:04:55,510 --> 00:04:53,440 acid mine 122 00:04:58,070 --> 00:04:55,520 runoff so there are four equations 123 00:05:00,629 --> 00:04:58,080 stepwise equations so where we get iron 124 00:05:01,830 --> 00:05:00,639 oxidizing to iron iron two oxidizing to 125 00:05:04,710 --> 00:05:01,840 iron three 126 00:05:07,510 --> 00:05:04,720 uh the sulfur oxidizing into sulfate we 127 00:05:10,710 --> 00:05:07,520 also uh get hydrolysis and we get a lot 128 00:05:13,189 --> 00:05:10,720 of protons uh as the iron three 129 00:05:15,029 --> 00:05:13,199 precipitates into the solid we get hype 130 00:05:17,909 --> 00:05:15,039 you know it scavenges the hydroxides so 131 00:05:20,469 --> 00:05:17,919 we get very acidic runoff uh combining 132 00:05:22,550 --> 00:05:20,479 with with the um 133 00:05:24,230 --> 00:05:22,560 with the groundwater sources 134 00:05:27,270 --> 00:05:24,240 so these are the types of environments 135 00:05:29,430 --> 00:05:27,280 where we found the alga and it's quite 136 00:05:31,430 --> 00:05:29,440 it's it makes the alga unique for a 137 00:05:34,230 --> 00:05:31,440 couple of reasons and one is being in 138 00:05:35,029 --> 00:05:34,240 sub-alpine colorado it's very resistant 139 00:05:41,590 --> 00:05:35,039 to 140 00:05:45,189 --> 00:05:44,230 in culture collections because they're 141 00:05:46,950 --> 00:05:45,199 not 142 00:05:48,950 --> 00:05:46,960 they don't freeze well if you freeze an 143 00:05:50,230 --> 00:05:48,960 elgat then we can't bring it back so 144 00:05:52,469 --> 00:05:50,240 it's very they're 145 00:05:54,790 --> 00:05:52,479 difficult to maintain so these guys are 146 00:05:57,350 --> 00:05:54,800 resistant to freezing as well as 147 00:05:59,990 --> 00:05:57,360 all this very rich metal runoff 148 00:06:01,990 --> 00:06:00,000 they are also very uh 149 00:06:04,469 --> 00:06:02,000 they're very sensitive to copper so this 150 00:06:06,550 --> 00:06:04,479 runoff also has a lot of copper in it 151 00:06:08,469 --> 00:06:06,560 and actually we use copper sulfate to 152 00:06:12,070 --> 00:06:08,479 keep algae algae out of our swimming 153 00:06:14,629 --> 00:06:12,080 pools so i we took this culture uh 154 00:06:16,550 --> 00:06:14,639 cultured it in a fish tank with its 155 00:06:19,510 --> 00:06:16,560 native conditions so with under a lot of 156 00:06:22,710 --> 00:06:19,520 metals and low ph water which was ph3 157 00:06:25,029 --> 00:06:22,720 and with this algo we can 158 00:06:26,710 --> 00:06:25,039 do our downstream experiments 159 00:06:29,510 --> 00:06:26,720 so what i proposed 160 00:06:32,150 --> 00:06:29,520 my my approach to identifying the 161 00:06:34,550 --> 00:06:32,160 mechanisms that allow it to survive 162 00:06:36,550 --> 00:06:34,560 freezing is to first we can do a 163 00:06:39,189 --> 00:06:36,560 bioinformatics approach so the genome 164 00:06:41,029 --> 00:06:39,199 has been sequenced so you can do some 165 00:06:43,749 --> 00:06:41,039 bioinformatics take some 166 00:06:47,189 --> 00:06:43,759 statistics or find open reading frames 167 00:06:48,390 --> 00:06:47,199 that would presumably encode for genes 168 00:06:50,230 --> 00:06:48,400 and 169 00:06:52,629 --> 00:06:50,240 find the ones that are similar to other 170 00:06:54,710 --> 00:06:52,639 organisms so you find homologous 171 00:06:56,870 --> 00:06:54,720 sequences and other organisms that are 172 00:06:58,870 --> 00:06:56,880 tolerant to freezing and then you can 173 00:07:01,430 --> 00:06:58,880 take that gene 174 00:07:12,390 --> 00:07:01,440 so you want to switch to the lab maybe 175 00:07:17,189 --> 00:07:15,029 okay so 176 00:07:19,350 --> 00:07:17,199 we can take the genes put it in an e 177 00:07:22,070 --> 00:07:19,360 coli host which is that's what we use in 178 00:07:25,350 --> 00:07:22,080 the lab to screen for functions 179 00:07:26,870 --> 00:07:25,360 and a positive result would uh 180 00:07:28,309 --> 00:07:26,880 be the e coli that we introduced that 181 00:07:31,110 --> 00:07:28,319 gene to would be more resistant to 182 00:07:34,629 --> 00:07:31,120 freezing so that's one approach that 183 00:07:36,870 --> 00:07:34,639 also assumes or is dependent on having 184 00:07:38,230 --> 00:07:36,880 other organisms with the mechanisms 185 00:07:40,230 --> 00:07:38,240 already have been having been 186 00:07:42,710 --> 00:07:40,240 characterized so that's not always the 187 00:07:45,990 --> 00:07:42,720 case and uh so an alternative approach 188 00:07:48,790 --> 00:07:46,000 is to do a functional screen where we 189 00:07:51,029 --> 00:07:48,800 take the we stress out the mrn of the 190 00:07:54,070 --> 00:07:51,039 algae we stress out the alga we freeze 191 00:07:55,749 --> 00:07:54,080 it bring it back harvest the mrna which 192 00:08:00,230 --> 00:07:55,759 is or all the messages so this is the 193 00:08:01,430 --> 00:08:00,240 rna is run on a polyacrylamide gel 194 00:08:03,670 --> 00:08:01,440 we run a current through it and we 195 00:08:06,150 --> 00:08:03,680 separate the rna by size so here we have 196 00:08:08,629 --> 00:08:06,160 the ribosomal rna in between the light 197 00:08:10,710 --> 00:08:08,639 gray areas those are all the messages so 198 00:08:13,830 --> 00:08:10,720 it's only two to five percent of the 199 00:08:15,589 --> 00:08:13,840 total rna the messenger rna so what we 200 00:08:17,110 --> 00:08:15,599 can do is we can harvest that and 201 00:08:20,950 --> 00:08:17,120 convert it to c 202 00:08:22,150 --> 00:08:20,960 complementary dna using a viral 203 00:08:24,150 --> 00:08:22,160 enzyme 204 00:08:26,710 --> 00:08:24,160 and we can amplify it and turn it into 205 00:08:30,469 --> 00:08:26,720 dna so that we can use it as a gene 206 00:08:33,190 --> 00:08:30,479 so what we can do is take all the cdna 207 00:08:34,230 --> 00:08:33,200 that we have made from the rna 208 00:08:35,829 --> 00:08:34,240 and 209 00:08:37,990 --> 00:08:35,839 here we see that here's a ladder that 210 00:08:39,670 --> 00:08:38,000 will tell you the size of all this dna 211 00:08:41,269 --> 00:08:39,680 that's been run on a gel 212 00:08:43,829 --> 00:08:41,279 so all of these are the different 213 00:08:45,190 --> 00:08:43,839 transcripts different sized messages 214 00:08:47,590 --> 00:08:45,200 from all the genes that it's been 215 00:08:49,670 --> 00:08:47,600 transcribing while it's stressed for 216 00:08:51,829 --> 00:08:49,680 during stress during during freeze 217 00:08:52,790 --> 00:08:51,839 stress as well as a bunch of other stuff 218 00:08:55,030 --> 00:08:52,800 that we don't know what they are we 219 00:08:57,030 --> 00:08:55,040 don't know what the transcripts are so 220 00:08:59,750 --> 00:08:57,040 we take these bits of dna put them into 221 00:09:02,389 --> 00:08:59,760 a vector a little piece of dna that we 222 00:09:04,470 --> 00:09:02,399 can introduce to an e coli cell so this 223 00:09:06,550 --> 00:09:04,480 is the chromosomal dna that the e coli 224 00:09:08,389 --> 00:09:06,560 needs to live it also has extracellular 225 00:09:10,310 --> 00:09:08,399 pieces of dna that we can introduce 226 00:09:13,190 --> 00:09:10,320 and we can introduce the functions that 227 00:09:15,590 --> 00:09:13,200 these genes encode for 228 00:09:17,350 --> 00:09:15,600 now what we can do with e coli to select 229 00:09:20,150 --> 00:09:17,360 for the genes that confer resistance is 230 00:09:22,389 --> 00:09:20,160 we can freeze these cells and the cells 231 00:09:25,110 --> 00:09:22,399 that don't survive are the ones that 232 00:09:26,870 --> 00:09:25,120 don't have any uh dna from the algae 233 00:09:28,870 --> 00:09:26,880 that allow resistance 234 00:09:31,670 --> 00:09:28,880 so the ones that do survive will have 235 00:09:34,710 --> 00:09:31,680 presumably have the inserts that confer 236 00:09:37,030 --> 00:09:34,720 resistance and then we can take those 237 00:09:38,870 --> 00:09:37,040 separate them on a gel find the one of 238 00:09:40,389 --> 00:09:38,880 interest send it for sequencing and map 239 00:09:42,949 --> 00:09:40,399 it to the 240 00:09:45,670 --> 00:09:42,959 gene that uh on the genome because it's 241 00:09:48,150 --> 00:09:45,680 been sequenced and then follow with uh 242 00:09:52,550 --> 00:09:48,160 characterizing the gene product and uh 243 00:09:54,630 --> 00:09:52,560 the mechanism so that's one approach and 244 00:09:56,070 --> 00:09:54,640 that leads us to the protein 245 00:09:57,750 --> 00:09:56,080 characterization and the types of 246 00:09:59,430 --> 00:09:57,760 mechanisms that we can 247 00:10:04,470 --> 00:09:59,440 possibly screen for that graham will go 248 00:10:07,990 --> 00:10:06,550 okay thank you jessica uh there are 249 00:10:09,269 --> 00:10:08,000 various mechanisms that have been 250 00:10:11,990 --> 00:10:09,279 discovered already through which 251 00:10:14,550 --> 00:10:12,000 organisms survive extremes of cold these 252 00:10:17,269 --> 00:10:14,560 include increased uh solutes inside the 253 00:10:18,550 --> 00:10:17,279 cell in the cytoplasm like sugars like 254 00:10:20,710 --> 00:10:18,560 glucose 255 00:10:23,269 --> 00:10:20,720 and sucrose to help the cell survive in 256 00:10:24,949 --> 00:10:23,279 lower temperatures but one really 257 00:10:26,389 --> 00:10:24,959 interesting way that cells have learned 258 00:10:28,630 --> 00:10:26,399 to survive these kinds of low 259 00:10:30,710 --> 00:10:28,640 temperatures is by creating novel 260 00:10:32,710 --> 00:10:30,720 proteins in the case of this picture 261 00:10:35,430 --> 00:10:32,720 here they've created anti-freeze 262 00:10:38,230 --> 00:10:35,440 proteins that effectively create ice 263 00:10:40,470 --> 00:10:38,240 cages that bind around ice crystals and 264 00:10:42,630 --> 00:10:40,480 stop them from forming large structures 265 00:10:44,829 --> 00:10:42,640 to allow the cell to survive a lot of 266 00:10:46,389 --> 00:10:44,839 small ice crystals inside the cell next 267 00:10:48,389 --> 00:10:46,399 slide 268 00:10:50,630 --> 00:10:48,399 so to continue our characterization of 269 00:10:52,790 --> 00:10:50,640 this algal strain this is kind of a 270 00:10:55,509 --> 00:10:52,800 quick and easy way doing some lab work 271 00:10:58,150 --> 00:10:55,519 to assess what temperatures this these 272 00:10:59,670 --> 00:10:58,160 cells can survive down to how fast they 273 00:11:00,790 --> 00:10:59,680 can be cooled without without dying 274 00:11:02,790 --> 00:11:00,800 completely 275 00:11:04,470 --> 00:11:02,800 how fast it can be heated back up and 276 00:11:07,590 --> 00:11:04,480 the duration of time they can withstand 277 00:11:10,230 --> 00:11:07,600 freezing from days to months seasonally 278 00:11:12,069 --> 00:11:10,240 or even yearly next slide please 279 00:11:13,509 --> 00:11:12,079 and in doing our characterizations 280 00:11:15,190 --> 00:11:13,519 looking at proteins there's a lot of 281 00:11:17,509 --> 00:11:15,200 things you can do in molecular biology 282 00:11:19,269 --> 00:11:17,519 to understand proteins it's a very wide 283 00:11:21,430 --> 00:11:19,279 field but we would start off with 284 00:11:23,910 --> 00:11:21,440 something really easy doing an assay 285 00:11:25,670 --> 00:11:23,920 just to quantify the amount of protein 286 00:11:27,670 --> 00:11:25,680 within a stressed cell in the cold 287 00:11:30,069 --> 00:11:27,680 versus a non-stressed cell to see if 288 00:11:31,269 --> 00:11:30,079 there's a difference and then after that 289 00:11:32,870 --> 00:11:31,279 if we wanted to we could use other 290 00:11:35,110 --> 00:11:32,880 techniques like this image i have behind 291 00:11:36,949 --> 00:11:35,120 but can't explain through the time 292 00:11:41,350 --> 00:11:36,959 that we could use to characterize these 293 00:11:46,230 --> 00:11:43,670 so my job is to 294 00:11:49,910 --> 00:11:46,240 test the geochemistry 295 00:11:51,430 --> 00:11:49,920 condition in the water where the algae 296 00:11:55,110 --> 00:11:51,440 is will 297 00:11:57,670 --> 00:11:55,120 help or inhibit the algae to survive 298 00:11:59,750 --> 00:11:57,680 freezing so this is a picture of the 299 00:12:03,190 --> 00:11:59,760 algae we have and 300 00:12:05,350 --> 00:12:03,200 the um we are testing the concentration 301 00:12:07,430 --> 00:12:05,360 of chlorophyll um 302 00:12:08,710 --> 00:12:07,440 before freezing and after freezing they 303 00:12:12,150 --> 00:12:08,720 are the green 304 00:12:14,069 --> 00:12:12,160 pigment in those cells and the process 305 00:12:17,509 --> 00:12:14,079 is we grind it and 306 00:12:19,750 --> 00:12:17,519 we use a filter to get the juice 307 00:12:22,030 --> 00:12:19,760 and then analyze the concentration of 308 00:12:25,110 --> 00:12:22,040 chlorophyll by the 309 00:12:28,710 --> 00:12:25,120 spectrophotometer and then we 310 00:12:30,230 --> 00:12:28,720 we freeze the algae under 311 00:12:33,350 --> 00:12:30,240 three different 312 00:12:37,750 --> 00:12:33,360 geochemical conditions first is to 313 00:12:40,629 --> 00:12:37,760 mimic the real environment and then use 314 00:12:42,870 --> 00:12:40,639 the real environment then on the third 315 00:12:45,670 --> 00:12:42,880 one is the control using the pure water 316 00:12:49,350 --> 00:12:45,680 and we then defreeze it 317 00:12:51,430 --> 00:12:49,360 saw and to continue the grind filter and 318 00:12:54,710 --> 00:12:51,440 analyze it again 319 00:12:55,750 --> 00:12:54,720 so the there are three results we expect 320 00:12:57,670 --> 00:12:55,760 to see 321 00:13:00,470 --> 00:12:57,680 uh not three more than three but i'm 322 00:13:02,790 --> 00:13:00,480 listing these three simple ones and on 323 00:13:05,590 --> 00:13:02,800 the x-axis you can see 324 00:13:07,670 --> 00:13:05,600 under different conditions um 325 00:13:11,030 --> 00:13:07,680 the y-axis is the concentration of 326 00:13:12,150 --> 00:13:11,040 chlorophyll and if it looks like image 327 00:13:15,030 --> 00:13:12,160 one 328 00:13:17,990 --> 00:13:15,040 means the they are um the chemical 329 00:13:21,030 --> 00:13:18,000 conditions are helping them to 330 00:13:25,110 --> 00:13:21,040 survive freezing and second one 331 00:13:27,190 --> 00:13:25,120 means they um inhibit them to survive 332 00:13:28,550 --> 00:13:27,200 freezing and the third one means they 333 00:13:29,509 --> 00:13:28,560 have no effect 334 00:13:30,949 --> 00:13:29,519 for that 335 00:13:32,470 --> 00:13:30,959 and water 336 00:13:34,150 --> 00:13:32,480 or what if there are minerals 337 00:13:36,230 --> 00:13:34,160 participate 338 00:13:39,590 --> 00:13:36,240 in the solution 339 00:13:43,110 --> 00:13:39,600 so there comes our technology xrd so 340 00:13:45,670 --> 00:13:43,120 this is a image of xrd in my lab and 341 00:13:48,389 --> 00:13:45,680 that's a geochemistry 342 00:13:52,230 --> 00:13:48,399 geometry and that's a principle behind 343 00:13:54,710 --> 00:13:52,240 it i have no time to explain 344 00:13:57,189 --> 00:13:54,720 so just super quickly um we're talking 345 00:13:59,030 --> 00:13:57,199 about this in the context of guiding 346 00:14:01,750 --> 00:13:59,040 exploration of other planets like 347 00:14:03,189 --> 00:14:01,760 particularly mars and europa 348 00:14:04,470 --> 00:14:03,199 on the on the right i just have a plot 349 00:14:07,030 --> 00:14:04,480 here of the daily temperature 350 00:14:08,230 --> 00:14:07,040 fluctuations on mars 351 00:14:09,110 --> 00:14:08,240 but i'm just going to skip to the next 352 00:14:11,189 --> 00:14:09,120 slide 353 00:14:12,710 --> 00:14:11,199 and talk about the relevance to nasa 354 00:14:14,550 --> 00:14:12,720 objectives so the reason that we picked 355 00:14:16,470 --> 00:14:14,560 mars in europa is because 356 00:14:17,670 --> 00:14:16,480 for the planetary decadal survey for one 357 00:14:19,110 --> 00:14:17,680 reason they're the two highest priority 358 00:14:20,150 --> 00:14:19,120 flagship missions are to those two 359 00:14:21,910 --> 00:14:20,160 planets 360 00:14:23,430 --> 00:14:21,920 but also as applications to the mars 361 00:14:25,430 --> 00:14:23,440 exploration program which is explore 362 00:14:27,189 --> 00:14:25,440 habitability and also the nasa 363 00:14:28,710 --> 00:14:27,199 astrobiology roadmap 364 00:14:30,550 --> 00:14:28,720 in the last slide i just have 365 00:14:32,150 --> 00:14:30,560 description of the two goals that our 366 00:14:33,829 --> 00:14:32,160 project meets towards astrobiology 367 00:14:35,590 --> 00:14:33,839 roadmap 368 00:14:37,910 --> 00:14:35,600 including biochemical adaptation to 369 00:14:39,509 --> 00:14:37,920 extreme environments so with that thank