1 00:00:09,589 --> 00:00:07,030 thanks to decades of research and 2 00:00:11,350 --> 00:00:09,599 several missions like curiosity here 3 00:00:13,190 --> 00:00:11,360 we know today that mars used to be 4 00:00:14,390 --> 00:00:13,200 habitable in the beginning of its 5 00:00:16,470 --> 00:00:14,400 history 6 00:00:18,710 --> 00:00:16,480 it had a dense atmosphere 7 00:00:21,109 --> 00:00:18,720 a global northern ocean 8 00:00:22,710 --> 00:00:21,119 rivers and lakes and temperatures 9 00:00:25,990 --> 00:00:22,720 similar to earth 10 00:00:28,230 --> 00:00:26,000 but unfortunately four billion years ago 11 00:00:30,550 --> 00:00:28,240 it lost its magnetic field 12 00:00:32,790 --> 00:00:30,560 and without this protection the planet 13 00:00:35,590 --> 00:00:32,800 progressively turned into the freezing 14 00:00:38,069 --> 00:00:35,600 irradiated desert we know today 15 00:00:41,190 --> 00:00:38,079 however there is a small window of 16 00:00:43,830 --> 00:00:41,200 habitability and the big question is 17 00:00:46,709 --> 00:00:43,840 did life appear before the planet lost 18 00:00:50,470 --> 00:00:46,719 its magnetic field and did it leave any 19 00:00:52,470 --> 00:00:50,480 trace we can detect today 20 00:00:54,630 --> 00:00:52,480 to answer these questions we're sending 21 00:00:56,950 --> 00:00:54,640 rovers to the red planet 22 00:00:59,029 --> 00:00:56,960 and both perseverance and the rosalind 23 00:01:01,510 --> 00:00:59,039 franklin rovers have four main 24 00:01:02,470 --> 00:01:01,520 objectives to detect traces of ancient 25 00:01:04,710 --> 00:01:02,480 life 26 00:01:06,469 --> 00:01:04,720 later in the presentation i'll present 27 00:01:08,310 --> 00:01:06,479 you one type of these by signatures 28 00:01:10,550 --> 00:01:08,320 we're looking for 29 00:01:13,510 --> 00:01:10,560 but here you can quickly see how 30 00:01:16,310 --> 00:01:13,520 important their detection is so in order 31 00:01:18,230 --> 00:01:16,320 to know what instruments to use on mars 32 00:01:20,789 --> 00:01:18,240 where to send them to have a maximum 33 00:01:23,190 --> 00:01:20,799 chance to find potential signatures we 34 00:01:26,390 --> 00:01:23,200 need to understand how these clues can 35 00:01:28,550 --> 00:01:26,400 be degraded over time 36 00:01:31,830 --> 00:01:28,560 to understand how biosignature degrade 37 00:01:33,749 --> 00:01:31,840 on mars we use earth as an analog 38 00:01:35,990 --> 00:01:33,759 here is an example of all the steps that 39 00:01:38,550 --> 00:01:36,000 could degrade these signatures between 40 00:01:41,910 --> 00:01:38,560 the organisms living in a paleo basin 41 00:01:43,910 --> 00:01:41,920 and now first the incorporation into the 42 00:01:44,870 --> 00:01:43,920 sediments without being degraded or 43 00:01:46,389 --> 00:01:44,880 eaten 44 00:01:48,230 --> 00:01:46,399 then the higher pressures and 45 00:01:49,749 --> 00:01:48,240 temperatures experienced during 46 00:01:51,670 --> 00:01:49,759 diogenesis 47 00:01:53,910 --> 00:01:51,680 followed by additional potential 48 00:01:56,389 --> 00:01:53,920 exposures to water oxygen or 49 00:01:58,310 --> 00:01:56,399 microorganisms via fractures 50 00:02:01,030 --> 00:01:58,320 and for the scientists to be able to 51 00:02:03,270 --> 00:02:01,040 collect and study these samples we need 52 00:02:05,670 --> 00:02:03,280 them to be closer to the surface which 53 00:02:09,109 --> 00:02:05,680 once again brings a lot of possible ways 54 00:02:11,910 --> 00:02:09,119 to erase our traces of ancient life 55 00:02:15,430 --> 00:02:11,920 but that is for earth and mars has an 56 00:02:17,990 --> 00:02:15,440 additional powerful destructive agent 57 00:02:20,790 --> 00:02:18,000 indeed because it's lost its magnetic 58 00:02:22,390 --> 00:02:20,800 field the martian surface is exposed to 59 00:02:24,949 --> 00:02:22,400 heavy radiation 60 00:02:27,430 --> 00:02:24,959 the first type and most abundant are the 61 00:02:28,949 --> 00:02:27,440 solar energetic particles they are 62 00:02:31,190 --> 00:02:28,959 absorbed in the very first two 63 00:02:34,550 --> 00:02:31,200 centimeters of the surface 64 00:02:36,710 --> 00:02:34,560 the second type are galactic cosmic rays 65 00:02:39,270 --> 00:02:36,720 they are less frequent but much more 66 00:02:40,229 --> 00:02:39,280 powerful and penetrate deeper under the 67 00:02:42,470 --> 00:02:40,239 surface 68 00:02:43,910 --> 00:02:42,480 up to several meters down according to 69 00:02:46,150 --> 00:02:43,920 models 70 00:02:48,550 --> 00:02:46,160 there they will react with the soil and 71 00:02:51,190 --> 00:02:48,560 produce showers of secondary radiation 72 00:02:53,110 --> 00:02:51,200 including gamma radiation 73 00:02:55,030 --> 00:02:53,120 when we look at the depth where these 74 00:02:57,190 --> 00:02:55,040 rovers are drilling we see that the 75 00:02:59,430 --> 00:02:57,200 cosmic rays could have an impact on the 76 00:03:02,149 --> 00:02:59,440 about signatures we're looking for 77 00:03:05,110 --> 00:03:02,159 so the main question becomes are any 78 00:03:07,110 --> 00:03:05,120 biosignature left at this depth and 79 00:03:09,190 --> 00:03:07,120 knowing that would help us determine 80 00:03:12,070 --> 00:03:09,200 where to send the rovers and what to 81 00:03:16,550 --> 00:03:14,470 to take in account this radiation 82 00:03:18,869 --> 00:03:16,560 part of my project is to irradiate 83 00:03:20,869 --> 00:03:18,879 different types of analog terrestrial 84 00:03:22,309 --> 00:03:20,879 samples that naturally preserved 85 00:03:24,710 --> 00:03:22,319 biomarkers 86 00:03:27,190 --> 00:03:24,720 i'm focusing on cosmic rays because as 87 00:03:29,589 --> 00:03:27,200 we just saw they're the main ones at the 88 00:03:32,390 --> 00:03:29,599 depth where the rovers are drilling and 89 00:03:34,470 --> 00:03:32,400 i use gamma rays as analog because it's 90 00:03:37,430 --> 00:03:34,480 one of the main degradation products 91 00:03:40,070 --> 00:03:37,440 when the cosmic rays hit the surface 92 00:03:43,910 --> 00:03:40,080 for today's presentation i will focus on 93 00:03:46,869 --> 00:03:43,920 shells samples shells are fossilized mud 94 00:03:49,030 --> 00:03:46,879 we have the n shell here on the left 95 00:03:50,869 --> 00:03:49,040 with the physical trace of a leaf and 96 00:03:52,070 --> 00:03:50,879 the muscle shell on the right with the 97 00:03:54,949 --> 00:03:52,080 fish 98 00:03:57,110 --> 00:03:54,959 and amongst a variety of biosignature 99 00:03:59,030 --> 00:03:57,120 they're both containing typical lipid 100 00:04:01,910 --> 00:03:59,040 fossils that i will present in a few 101 00:04:03,990 --> 00:04:01,920 slides not only fossils from the fish 102 00:04:06,390 --> 00:04:04,000 and the leaves that you can see but also 103 00:04:10,470 --> 00:04:06,400 from microbial sources that are not 104 00:04:15,670 --> 00:04:12,869 after a lot of sample preparation here 105 00:04:18,390 --> 00:04:15,680 are they ready to be irradiated 106 00:04:20,550 --> 00:04:18,400 they have been packed flame sealed under 107 00:04:23,030 --> 00:04:20,560 vacuum and the bottom of the tube is 108 00:04:24,870 --> 00:04:23,040 facing the radiation source 109 00:04:26,790 --> 00:04:24,880 and this is how they looked like after 110 00:04:28,790 --> 00:04:26,800 radiation 111 00:04:30,870 --> 00:04:28,800 they were exposed to a dose equivalent 112 00:04:33,110 --> 00:04:30,880 to 15 million years on the martian 113 00:04:34,870 --> 00:04:33,120 surface with gamma rays 114 00:04:37,110 --> 00:04:34,880 and then we compared the molecular 115 00:04:38,950 --> 00:04:37,120 fossils content and quantities between 116 00:04:42,230 --> 00:04:38,960 the controls that haven't been 117 00:04:43,670 --> 00:04:42,240 irradiated and irradiated samples if we 118 00:04:45,590 --> 00:04:43,680 don't see any difference it's a good 119 00:04:47,510 --> 00:04:45,600 sign for the rovers and we can keep 120 00:04:49,909 --> 00:04:47,520 increasing the dose to higher levels of 121 00:04:51,189 --> 00:04:49,919 radiation to see where the trend is 122 00:04:52,790 --> 00:04:51,199 going 123 00:04:55,350 --> 00:04:52,800 and if we observe a decrease in 124 00:04:57,670 --> 00:04:55,360 biomarkers content our objective was to 125 00:05:00,870 --> 00:04:57,680 characterize the rate and compare it in 126 00:05:02,950 --> 00:05:00,880 different types of samples 127 00:05:05,110 --> 00:05:02,960 i'm going to focus for this presentation 128 00:05:07,670 --> 00:05:05,120 on a specific type of biosignatures 129 00:05:09,990 --> 00:05:07,680 belonging to lipid biomarkers 130 00:05:11,990 --> 00:05:10,000 the first types are hopets there are 131 00:05:14,469 --> 00:05:12,000 fossils of hopanoles which are membrane 132 00:05:16,550 --> 00:05:14,479 lipids found in prokaryotes as you can 133 00:05:18,230 --> 00:05:16,560 see during diagenesis we are losing 134 00:05:20,950 --> 00:05:18,240 functional groups but we keep the 135 00:05:23,189 --> 00:05:20,960 diagnostic hydrocarbon skeleton 136 00:05:25,029 --> 00:05:23,199 and this structure if found on another 137 00:05:26,870 --> 00:05:25,039 planet is complex enough to be 138 00:05:28,710 --> 00:05:26,880 diagnostic of life 139 00:05:30,710 --> 00:05:28,720 we don't know any way to synthesize this 140 00:05:33,990 --> 00:05:30,720 abiotically 141 00:05:35,909 --> 00:05:34,000 the second biomarker are alkanes 142 00:05:38,870 --> 00:05:35,919 they can be degraded from fatty acids 143 00:05:40,870 --> 00:05:38,880 here as we can see in this case a simple 144 00:05:43,990 --> 00:05:40,880 chain of carbon can be formed without 145 00:05:45,990 --> 00:05:44,000 life so it's not that one molecule alone 146 00:05:48,390 --> 00:05:46,000 that will give us any information about 147 00:05:50,550 --> 00:05:48,400 past life but the distribution of 148 00:05:52,950 --> 00:05:50,560 alkanes in a sample 149 00:05:56,550 --> 00:05:52,960 if they're mostly long chains or short 150 00:05:59,749 --> 00:05:56,560 chains or if they have a higher amount 151 00:06:01,909 --> 00:05:59,759 of even or odd carbon number etc 152 00:06:03,990 --> 00:06:01,919 and the rovers that we sent on mars have 153 00:06:06,710 --> 00:06:04,000 the ability to detect these hydrocarbons 154 00:06:11,270 --> 00:06:06,720 and to answer our questions but we 155 00:06:15,909 --> 00:06:13,430 first we compared the total organic 156 00:06:18,469 --> 00:06:15,919 carbon in our samples and spell on the 157 00:06:20,309 --> 00:06:18,479 left muscle on the right the controls 158 00:06:21,909 --> 00:06:20,319 here are in blue and the irradiated 159 00:06:24,150 --> 00:06:21,919 sample in orange 160 00:06:26,469 --> 00:06:24,160 the arrow bar here represents the 161 00:06:28,309 --> 00:06:26,479 natural variation of the sample so we 162 00:06:29,270 --> 00:06:28,319 see that there is no significant change 163 00:06:31,830 --> 00:06:29,280 here 164 00:06:33,670 --> 00:06:31,840 so far it's a good sign for the rovers 165 00:06:36,150 --> 00:06:33,680 but here is what we saw for the 166 00:06:37,830 --> 00:06:36,160 hydrocarbons 167 00:06:40,230 --> 00:06:37,840 they increased 168 00:06:42,070 --> 00:06:40,240 here is only semi-quantitative data this 169 00:06:44,710 --> 00:06:42,080 is why we don't have any error bars for 170 00:06:46,629 --> 00:06:44,720 natural variation but at these levels we 171 00:06:49,270 --> 00:06:46,639 can be confident that the amount of 172 00:06:51,990 --> 00:06:49,280 hydrocarbon is almost doubling after 173 00:06:56,309 --> 00:06:52,000 radiation so we decided to look more 174 00:06:59,270 --> 00:06:56,319 specifically in our targeted biomarkers 175 00:07:01,670 --> 00:06:59,280 first we looked at the linear alkanes 176 00:07:03,430 --> 00:07:01,680 and same thing they increased to even 177 00:07:05,589 --> 00:07:03,440 higher proportions 178 00:07:07,430 --> 00:07:05,599 after seeing that we were curious in 179 00:07:09,990 --> 00:07:07,440 their distribution because as i 180 00:07:12,070 --> 00:07:10,000 mentioned before the distribution is the 181 00:07:14,550 --> 00:07:12,080 actual signature here 182 00:07:16,950 --> 00:07:14,560 here are the results with the size of 183 00:07:19,350 --> 00:07:16,960 the carbon chain on the x-axis 184 00:07:21,670 --> 00:07:19,360 and we can see that for both samples 185 00:07:24,390 --> 00:07:21,680 even if the quantities after radiation 186 00:07:26,950 --> 00:07:24,400 are larger the distribution itself 187 00:07:30,070 --> 00:07:26,960 doesn't seem to change much we don't 188 00:07:32,390 --> 00:07:30,080 suddenly have only large or only short 189 00:07:35,350 --> 00:07:32,400 carbon chains for examples 190 00:07:39,990 --> 00:07:35,360 so for alkanes the signal is not only 191 00:07:43,029 --> 00:07:40,000 preserved but increased after radiation 192 00:07:45,830 --> 00:07:43,039 for hopping's biosignature it is not as 193 00:07:48,390 --> 00:07:45,840 clear as it was for alkanes same thing 194 00:07:50,710 --> 00:07:48,400 again our two samples before and after 195 00:07:52,869 --> 00:07:50,720 radiation and some of the whole pains we 196 00:07:55,510 --> 00:07:52,879 identified in the samples 197 00:07:58,150 --> 00:07:55,520 again this is not precise quantification 198 00:08:00,629 --> 00:07:58,160 so it's hard to make strong conclusions 199 00:08:04,629 --> 00:08:00,639 but we see different trains 200 00:08:07,189 --> 00:08:04,639 some stay at the same similar abundances 201 00:08:09,110 --> 00:08:07,199 here in n-spell this one is decreasing 202 00:08:11,830 --> 00:08:09,120 by almost half 203 00:08:14,150 --> 00:08:11,840 and here these last two muscles are 204 00:08:16,309 --> 00:08:14,160 doubling we don't expect radiation to 205 00:08:18,390 --> 00:08:16,319 lead to the synthesis of any of these 206 00:08:20,950 --> 00:08:18,400 because they're very complex but we have 207 00:08:23,670 --> 00:08:20,960 a few hypotheses for whole pains and 208 00:08:25,749 --> 00:08:23,680 overall for a hydrocarbon increase after 209 00:08:27,909 --> 00:08:25,759 radiation 210 00:08:29,990 --> 00:08:27,919 concerning hope pains most of the 211 00:08:31,110 --> 00:08:30,000 variation we see could be natural 212 00:08:32,949 --> 00:08:31,120 variation 213 00:08:35,190 --> 00:08:32,959 for this we will do additional 214 00:08:37,589 --> 00:08:35,200 quantitative analysis 215 00:08:39,509 --> 00:08:37,599 but there are a lot of other molecules 216 00:08:41,509 --> 00:08:39,519 in the samples that we don't see in our 217 00:08:43,350 --> 00:08:41,519 runs due to the methods and the 218 00:08:44,949 --> 00:08:43,360 instrument we used 219 00:08:47,509 --> 00:08:44,959 one of them are refractory 220 00:08:49,190 --> 00:08:47,519 macromolecules like kerogen or 221 00:08:51,350 --> 00:08:49,200 asphaltenes 222 00:08:53,590 --> 00:08:51,360 here is an example of their very complex 223 00:08:56,710 --> 00:08:53,600 macro structure making them not 224 00:08:58,230 --> 00:08:56,720 extractable by our method or visible by 225 00:09:00,550 --> 00:08:58,240 our instruments 226 00:09:03,910 --> 00:09:00,560 but under radiation they could break 227 00:09:06,389 --> 00:09:03,920 down and liberate alkanes propanes or a 228 00:09:08,630 --> 00:09:06,399 variety of other hydrocarbons 229 00:09:10,949 --> 00:09:08,640 and even if they don't fully break down 230 00:09:13,829 --> 00:09:10,959 radiation could liberate pockets of 231 00:09:16,070 --> 00:09:13,839 adsorbed or occluded hydrocarbons that 232 00:09:18,389 --> 00:09:16,080 we now can detect 233 00:09:20,550 --> 00:09:18,399 for this hypothesis we will irradiate 234 00:09:22,470 --> 00:09:20,560 standards of kerogen and see if anything 235 00:09:25,269 --> 00:09:22,480 is liberated 236 00:09:27,910 --> 00:09:25,279 our last hypothesis is that our very 237 00:09:30,389 --> 00:09:27,920 well-preserved sample still contain 238 00:09:32,870 --> 00:09:30,399 fresher organics like fatty acids that 239 00:09:35,509 --> 00:09:32,880 wouldn't be detected in the hydrocarbon 240 00:09:37,990 --> 00:09:35,519 phase because they are still polar 241 00:09:40,630 --> 00:09:38,000 but they could be degraded into alkanes 242 00:09:42,630 --> 00:09:40,640 during exposure to gamma rays we will 243 00:09:46,870 --> 00:09:42,640 hear irradiate standards of fatty acid 244 00:09:48,829 --> 00:09:46,880 to see if any hydrocarbon is created 245 00:09:52,070 --> 00:09:48,839 here is another way to represent our 246 00:09:54,070 --> 00:09:52,080 hypothesis the total organic carbon here 247 00:09:55,509 --> 00:09:54,080 in the blue box doesn't change after 248 00:09:58,550 --> 00:09:55,519 radiation 249 00:10:01,269 --> 00:09:58,560 then a part of that organic carbon are 250 00:10:04,069 --> 00:10:01,279 the extractable hydrocarbon that we see 251 00:10:05,829 --> 00:10:04,079 in our rounds they double in size as you 252 00:10:07,910 --> 00:10:05,839 can see the green box 253 00:10:09,910 --> 00:10:07,920 they include the alkanes that were 254 00:10:12,150 --> 00:10:09,920 increased by a factor of two to almost 255 00:10:13,670 --> 00:10:12,160 four and the whole panes for which we 256 00:10:15,350 --> 00:10:13,680 need more 257 00:10:17,110 --> 00:10:15,360 analysis to be conclusive about 258 00:10:18,550 --> 00:10:17,120 quantification 259 00:10:20,630 --> 00:10:18,560 outside the box 260 00:10:23,190 --> 00:10:20,640 of extractable hydrocarbons we have the 261 00:10:24,949 --> 00:10:23,200 macromolecules in gray 262 00:10:27,829 --> 00:10:24,959 that could freeze some hydrocarbons 263 00:10:29,990 --> 00:10:27,839 under radiation or fatty acids in dark 264 00:10:32,470 --> 00:10:30,000 blue that could be degraded also into 265 00:10:36,230 --> 00:10:32,480 hydrocarbons or it could also be a 266 00:10:38,150 --> 00:10:36,240 complex mix of all these processes 267 00:10:40,870 --> 00:10:38,160 these counter-intuitive but very 268 00:10:43,030 --> 00:10:40,880 exciting results opened a whole new plan 269 00:10:46,150 --> 00:10:43,040 of work to understand what is happening 270 00:10:48,389 --> 00:10:46,160 to our biomarkers and the radiation 271 00:10:50,389 --> 00:10:48,399 first we will analyze our samples with 272 00:10:52,470 --> 00:10:50,399 precise quantitative instruments to 273 00:10:54,630 --> 00:10:52,480 determine real trends 274 00:10:57,269 --> 00:10:54,640 then we will re-irradiate the same 275 00:10:59,590 --> 00:10:57,279 samples but at higher doses to see how 276 00:11:02,310 --> 00:10:59,600 the trend is evolving the results you 277 00:11:05,350 --> 00:11:02,320 saw were for 15 million years and as a 278 00:11:07,750 --> 00:11:05,360 comparison gel crater where curiosity is 279 00:11:09,670 --> 00:11:07,760 right now has been irradiated for about 280 00:11:12,069 --> 00:11:09,680 80 million years 281 00:11:14,389 --> 00:11:12,079 as we mentioned before we will also 282 00:11:16,710 --> 00:11:14,399 irradiate macromolecules and fatty acid 283 00:11:19,190 --> 00:11:16,720 standards to figure out if they can 284 00:11:21,350 --> 00:11:19,200 produce hydrocarbons 285 00:11:23,670 --> 00:11:21,360 and lastly in this presentation we 286 00:11:26,389 --> 00:11:23,680 focused on quantifying biomarkers that 287 00:11:28,310 --> 00:11:26,399 were present in the controls but another 288 00:11:30,389 --> 00:11:28,320 question would be to know if radiation 289 00:11:32,389 --> 00:11:30,399 could be creating new types of 290 00:11:36,069 --> 00:11:32,399 biomarkers that we could look for 291 00:11:40,949 --> 00:11:38,230 with this i'd like to thank georgetown 292 00:11:43,269 --> 00:11:40,959 university to johnson's lab and the 293 00:11:45,990 --> 00:11:43,279 radiation facility at nasa goddard for 294 00:11:47,990 --> 00:11:46,000 irradiating our samples 295 00:11:49,350 --> 00:11:48,000 thank you very much for your attention