1 00:00:13,750 --> 00:00:09,580 alright as Tim mentioned now for 2 00:00:16,510 --> 00:00:13,760 something completely different so most 3 00:00:19,150 --> 00:00:16,520 of my work is focused on ecosystems and 4 00:00:21,250 --> 00:00:19,160 very cold subway tional environments 5 00:00:24,310 --> 00:00:21,260 which obviously are of interest to our 6 00:00:26,050 --> 00:00:24,320 community because they so far seem to be 7 00:00:28,180 --> 00:00:26,060 pretty good analogs for some of the 8 00:00:29,950 --> 00:00:28,190 potentially more habitable environments 9 00:00:32,619 --> 00:00:29,960 we might find throughout the rest of the 10 00:00:35,140 --> 00:00:32,629 solar system in particular I work with 11 00:00:38,380 --> 00:00:35,150 the ecosystem associated with blood 12 00:00:41,650 --> 00:00:38,390 falls which provides a very good case 13 00:00:43,840 --> 00:00:41,660 study mostly because you don't have to 14 00:00:46,630 --> 00:00:43,850 drill down into it in order to sample 15 00:00:48,819 --> 00:00:46,640 because you get this weird periodic 16 00:00:50,560 --> 00:00:48,829 upwelling from deep within the reservoir 17 00:00:52,780 --> 00:00:50,570 that brings the brine to the surface and 18 00:00:55,240 --> 00:00:52,790 then the brine because of the amount of 19 00:00:59,160 --> 00:00:55,250 dissolved iron and it oxidizes and turns 20 00:01:04,840 --> 00:01:02,920 so however the question I was hoping to 21 00:01:06,700 --> 00:01:04,850 tackle was what's powering this 22 00:01:08,529 --> 00:01:06,710 ecosystem it's clearly not 23 00:01:10,389 --> 00:01:08,539 photosynthetic because it's under about 24 00:01:12,130 --> 00:01:10,399 three kilometers of ice and to the best 25 00:01:15,029 --> 00:01:12,140 of I know under such no geothermal 26 00:01:17,980 --> 00:01:15,039 activity associated with that so but 27 00:01:19,510 --> 00:01:17,990 laws of thermodynamics tell us that's 28 00:01:23,889 --> 00:01:19,520 got to have some sort of external energy 29 00:01:26,859 --> 00:01:23,899 source and the way I just tackle this 30 00:01:30,400 --> 00:01:26,869 problem was building a model of it using 31 00:01:32,109 --> 00:01:30,410 vensim which is a free system dynamics 32 00:01:34,719 --> 00:01:32,119 modeling sweet system dynamics is a 33 00:01:38,589 --> 00:01:34,729 particular brand or school of modeling 34 00:01:40,480 --> 00:01:38,599 that focuses on how systems change over 35 00:01:43,960 --> 00:01:40,490 time and how their behavior fluctuates 36 00:01:45,609 --> 00:01:43,970 and roughly speaking this model and can 37 00:01:47,350 --> 00:01:45,619 be divided up into different sub 38 00:01:51,760 --> 00:01:47,360 components there's sort of a nutrient 39 00:01:53,440 --> 00:01:51,770 cycle and a metabolic cycle this is a 40 00:01:56,650 --> 00:01:53,450 very simplified schematic of the 41 00:01:58,600 --> 00:01:56,660 nutrient cycle we looked at three the be 42 00:02:00,880 --> 00:01:58,610 three primary nutrients carbon nitrogen 43 00:02:02,380 --> 00:02:00,890 phosphorus and they were basically just 44 00:02:04,870 --> 00:02:02,390 cycled around endlessly through a 45 00:02:06,639 --> 00:02:04,880 biological form which is the biomass 46 00:02:10,059 --> 00:02:06,649 died was converted into an inorganic 47 00:02:13,899 --> 00:02:10,069 form which then was either would either 48 00:02:15,699 --> 00:02:13,909 decay or was metabolized and convert it 49 00:02:17,300 --> 00:02:15,709 back into an inorganic form and then it 50 00:02:23,130 --> 00:02:17,310 would cycle around 51 00:02:25,290 --> 00:02:23,140 the metabolic cycle is a good deal a 52 00:02:28,680 --> 00:02:25,300 good deal but simpler at least it was at 53 00:02:30,720 --> 00:02:28,690 the start there is a good strong 54 00:02:34,020 --> 00:02:30,730 evidence for the cycling of sulfur from 55 00:02:35,699 --> 00:02:34,030 a oxidized form to sort of a not 56 00:02:37,650 --> 00:02:35,709 necessarily reduced form but usually 57 00:02:42,150 --> 00:02:37,660 elemental sulfur was assumed to be the 58 00:02:45,059 --> 00:02:42,160 primary intermediary form curiously 59 00:02:47,789 --> 00:02:45,069 enough for some reason from what can be 60 00:02:49,259 --> 00:02:47,799 told from the field data this cycle does 61 00:02:51,150 --> 00:02:49,269 not actually proceed all the way to 62 00:02:53,009 --> 00:02:51,160 hydrogen sulfide which is kind of unique 63 00:02:57,270 --> 00:02:53,019 they're not entirely sure why that 64 00:02:58,380 --> 00:02:57,280 happens anyhow and getting back to the 65 00:03:01,740 --> 00:02:58,390 original question it has been 66 00:03:03,690 --> 00:03:01,750 hypothesized that actually the major 67 00:03:05,729 --> 00:03:03,700 power source for this ecosystem is all 68 00:03:09,930 --> 00:03:05,739 that iron that I mentioned earlier that 69 00:03:12,930 --> 00:03:09,940 you're getting the mobilization of iron 70 00:03:15,500 --> 00:03:12,940 3 from the bedrock of the glacier as its 71 00:03:17,699 --> 00:03:15,510 scoured by glacial action and as 72 00:03:19,589 --> 00:03:17,709 consequently basically acts as a 73 00:03:25,129 --> 00:03:19,599 terminal electron acceptor for the 74 00:03:28,470 --> 00:03:25,139 cycling of sulfur and then just sort of 75 00:03:31,440 --> 00:03:28,480 ends up being dissolved in the water 76 00:03:33,270 --> 00:03:31,450 until it hits the air and oxidizers out 77 00:03:40,890 --> 00:03:33,280 or precipitates out after oxidizing 78 00:03:44,039 --> 00:03:40,900 rather so to actually do all the cycling 79 00:03:46,470 --> 00:03:44,049 we need some model organisms so for 80 00:03:48,839 --> 00:03:46,480 purpose of simplifying a what appears to 81 00:03:50,759 --> 00:03:48,849 be a relatively complicated ecosystem we 82 00:03:52,770 --> 00:03:50,769 just narrowed it down to two basic 83 00:03:55,620 --> 00:03:52,780 organisms the first is essentially the 84 00:03:57,900 --> 00:03:55,630 primary producer and that's based on the 85 00:04:00,030 --> 00:03:57,910 chemo Louth of trophic sulfur oxidizer 86 00:04:03,839 --> 00:04:00,040 Thea microsphere arctica which is a 87 00:04:06,120 --> 00:04:03,849 psycho file we pick that one because due 88 00:04:07,500 --> 00:04:06,130 to the based on Minetta genomic analysis 89 00:04:10,039 --> 00:04:07,510 they've done of the bacteria they've 90 00:04:13,050 --> 00:04:10,049 been able to isolate from the discharge 91 00:04:15,150 --> 00:04:13,060 something something that is very closely 92 00:04:18,060 --> 00:04:15,160 related to see you microsphere arctica 93 00:04:19,650 --> 00:04:18,070 appears to be the dominant species it's 94 00:04:22,620 --> 00:04:19,660 about forty percent of what they found 95 00:04:24,810 --> 00:04:22,630 so far and the second is a chemo organo 96 00:04:28,140 --> 00:04:24,820 trove sort of acts as a secondary 97 00:04:30,450 --> 00:04:28,150 consumer and maybe kind of a decomposer 98 00:04:32,249 --> 00:04:30,460 to try to vote as well 99 00:04:34,350 --> 00:04:32,259 which then reduces the sulfate and 100 00:04:37,200 --> 00:04:34,360 oxidizes the organic carbon so it 101 00:04:39,510 --> 00:04:37,210 completes the cycle that one is just 102 00:04:42,270 --> 00:04:39,520 based on sort of an amalgam of various 103 00:04:49,140 --> 00:04:42,280 species since no one particular species 104 00:04:51,659 --> 00:04:49,150 seemed to dominate the population so as 105 00:04:53,430 --> 00:04:51,669 this is going along quite happily we're 106 00:04:55,080 --> 00:04:53,440 making the model more sophisticated more 107 00:04:58,860 --> 00:04:55,090 detailed and then we start running into 108 00:05:02,879 --> 00:04:58,870 difficulties specifically the population 109 00:05:05,670 --> 00:05:02,889 is not stable of neither the heterotroph 110 00:05:08,879 --> 00:05:05,680 King Morgan otro for the sulfur oxidizer 111 00:05:11,460 --> 00:05:08,889 as either you tend to see two patterns 112 00:05:14,100 --> 00:05:11,470 of behavior either the population would 113 00:05:15,659 --> 00:05:14,110 crash right at startup and nothing would 114 00:05:17,790 --> 00:05:15,669 happen for the rest of the simulation 115 00:05:21,450 --> 00:05:17,800 that's usually when the death rate was 116 00:05:24,810 --> 00:05:21,460 relatively high or it would grow very 117 00:05:28,710 --> 00:05:24,820 slowly peak overshoot and then crash 118 00:05:30,420 --> 00:05:28,720 very slowly and that was when the death 119 00:05:32,520 --> 00:05:30,430 rate was very low either way you ended 120 00:05:34,770 --> 00:05:32,530 up with essentially no population by the 121 00:05:36,420 --> 00:05:34,780 end of the model which given that this 122 00:05:37,920 --> 00:05:36,430 particular ecosystem is thought to have 123 00:05:40,890 --> 00:05:37,930 been isolated for three to five million 124 00:05:42,480 --> 00:05:40,900 years is probably not accurate since if 125 00:05:43,800 --> 00:05:42,490 that were the case there wouldn't be any 126 00:05:46,950 --> 00:05:43,810 good system at this point at least 127 00:05:48,629 --> 00:05:46,960 that's the thinking so just to give you 128 00:05:51,390 --> 00:05:48,639 some examples this is what happens with 129 00:05:53,939 --> 00:05:51,400 high death rate and it's just dies start 130 00:05:56,370 --> 00:05:53,949 up and then with low death rate you get 131 00:05:59,580 --> 00:05:56,380 this really nice peak and then falls off 132 00:06:02,909 --> 00:05:59,590 to zero as the nutrients become too 133 00:06:04,469 --> 00:06:02,919 scarce so originally to get around this 134 00:06:07,529 --> 00:06:04,479 we introduced density-dependent negative 135 00:06:10,050 --> 00:06:07,539 feedback functions which basically is a 136 00:06:11,969 --> 00:06:10,060 modeling jargon term for an effect that 137 00:06:14,180 --> 00:06:11,979 acts on the population in this 138 00:06:16,350 --> 00:06:14,190 particular case on the mortality either 139 00:06:19,379 --> 00:06:16,360 increasing the death rate or decreasing 140 00:06:21,149 --> 00:06:19,389 the growth rate which increases 141 00:06:22,860 --> 00:06:21,159 proportional to the population so the 142 00:06:26,790 --> 00:06:22,870 dense of the population the stronger 143 00:06:28,260 --> 00:06:26,800 this effect is which works however we 144 00:06:30,499 --> 00:06:28,270 got some reviewer comments most notably 145 00:06:33,240 --> 00:06:30,509 from christopher k who pointed out that 146 00:06:35,360 --> 00:06:33,250 this is probably a bit too complicated 147 00:06:37,499 --> 00:06:35,370 especially since we can't actually 148 00:06:40,290 --> 00:06:37,509 identify any mechanism that could be 149 00:06:42,149 --> 00:06:40,300 responsible so in the spirit of Occam's 150 00:06:43,570 --> 00:06:42,159 razor we decided okay let's go back and 151 00:06:45,339 --> 00:06:43,580 let's simplify things 152 00:06:49,240 --> 00:06:45,349 and we went back to the third on i'm at 153 00:06:51,490 --> 00:06:49,250 dynamics so originally the metabolic 154 00:06:53,140 --> 00:06:51,500 cycle had been kind of crudely done 155 00:06:56,740 --> 00:06:53,150 because we didn't really have a lot of 156 00:06:58,629 --> 00:06:56,750 information but then we decided you know 157 00:06:59,890 --> 00:06:58,639 what let's just and they're also a bunch 158 00:07:02,050 --> 00:06:59,900 of different metabolic pathways that 159 00:07:03,999 --> 00:07:02,060 could be chosen but we decided okay 160 00:07:06,850 --> 00:07:04,009 let's just pick one that seems likely 161 00:07:10,540 --> 00:07:06,860 and model that explicitly in the amount 162 00:07:13,990 --> 00:07:10,550 and the ego system simulation so for the 163 00:07:16,689 --> 00:07:14,000 sulfur oxidizers we did this oxidation 164 00:07:19,659 --> 00:07:16,699 of elemental sulfur using iron 3 is a 165 00:07:24,520 --> 00:07:19,669 electron acceptor producing sulfate iron 166 00:07:27,490 --> 00:07:24,530 2 and some hydrogen protons not under 167 00:07:29,260 --> 00:07:27,500 institute conditions provides 160 4.5 168 00:07:31,719 --> 00:07:29,270 kilojoules per mole per two electron 169 00:07:33,369 --> 00:07:31,729 produced and then for the purposes 170 00:07:37,300 --> 00:07:33,379 modeling we assumed this is going to be 171 00:07:39,519 --> 00:07:37,310 used for the fixation of inorganic 172 00:07:41,679 --> 00:07:39,529 carbon which is represented by the 173 00:07:43,719 --> 00:07:41,689 reduction of inorganic carbon acetate 174 00:07:47,950 --> 00:07:43,729 which requires 142 kilojoules per mole 175 00:07:49,869 --> 00:07:47,960 in situations for the chemo granite 176 00:07:52,629 --> 00:07:49,879 roast its kind of running it in reverse 177 00:07:55,390 --> 00:07:52,639 you have acetate plus sulfate solver 178 00:07:58,990 --> 00:07:55,400 gets reduced the state gets oxidized 179 00:08:01,420 --> 00:07:59,000 this is notably a lot less energetic 180 00:08:03,899 --> 00:08:01,430 only produces 19.6 kilojoules per mole 181 00:08:06,459 --> 00:08:03,909 per electron and Institute conditions 182 00:08:08,499 --> 00:08:06,469 which may explain why there are any 183 00:08:12,610 --> 00:08:08,509 aren't anywhere near as many of these 184 00:08:16,959 --> 00:08:12,620 organisms in the reservoir based on 185 00:08:20,920 --> 00:08:16,969 metagenomic analysis and that worked 186 00:08:22,869 --> 00:08:20,930 that made it stable which allowed us for 187 00:08:25,360 --> 00:08:22,879 create this nice-looking baseline model 188 00:08:26,890 --> 00:08:25,370 where it plateaus and stays stable and 189 00:08:29,439 --> 00:08:26,900 you can do sensitivity tests and see how 190 00:08:33,250 --> 00:08:29,449 resilient it is and it also suggests 191 00:08:35,860 --> 00:08:33,260 that iren ultimately is the limiting 192 00:08:39,219 --> 00:08:35,870 element or limiting nutrient for this 193 00:08:41,139 --> 00:08:39,229 ecosystem which for astrobiologists 194 00:08:45,519 --> 00:08:41,149 probably isn't that big of a thing but 195 00:08:47,620 --> 00:08:45,529 most of the ecology literature is this 196 00:08:49,240 --> 00:08:47,630 is a bit unusual because most 197 00:08:52,720 --> 00:08:49,250 psychologists are used to dealing with 198 00:08:54,579 --> 00:08:52,730 more mundane terrestrial ecosystems 199 00:08:56,590 --> 00:08:54,589 where energy is basically assumed to be 200 00:08:56,820 --> 00:08:56,600 free because they have photosynthesis so 201 00:08:58,470 --> 00:08:56,830 there 202 00:09:00,060 --> 00:08:58,480 usually concerned with nutrient 203 00:09:02,430 --> 00:09:00,070 limitation so the idea of an energy 204 00:09:06,390 --> 00:09:02,440 limited one is actually kind of new and 205 00:09:10,170 --> 00:09:06,400 at least in the ecology literature and 206 00:09:12,240 --> 00:09:10,180 to test this out it's assumed that the 207 00:09:13,980 --> 00:09:12,250 irons being we don't know how rapidly 208 00:09:16,590 --> 00:09:13,990 the iron 3 is being mobilized from the 209 00:09:19,620 --> 00:09:16,600 bedrock so we played around with that 210 00:09:22,020 --> 00:09:19,630 order burying it by about an order of 211 00:09:24,990 --> 00:09:22,030 magnitude and sure enough that leads to 212 00:09:26,250 --> 00:09:25,000 a directly proportional change in the 213 00:09:29,400 --> 00:09:26,260 amount of biomass and in the 214 00:09:31,920 --> 00:09:29,410 productivity so so far this is looking 215 00:09:34,050 --> 00:09:31,930 pretty consistent and lastly sort of the 216 00:09:35,160 --> 00:09:34,060 implications for astrobiology as I 217 00:09:38,820 --> 00:09:35,170 mentioned some of these may not be that 218 00:09:41,340 --> 00:09:38,830 surprising flux of available energy is a 219 00:09:43,560 --> 00:09:41,350 major limiting factor for population 220 00:09:45,360 --> 00:09:43,570 growth perhaps more so at least in this 221 00:09:46,680 --> 00:09:45,370 case in the flux of nutrients because 222 00:09:48,990 --> 00:09:46,690 there are some limiting nutrients 223 00:09:51,320 --> 00:09:49,000 notably phosphorus in this ecosystem but 224 00:09:54,530 --> 00:09:51,330 they apparently weren't limiting enough 225 00:09:57,240 --> 00:09:54,540 to keep instability from happening and 226 00:09:58,800 --> 00:09:57,250 sort of a suggestion to in addition to 227 00:10:00,240 --> 00:09:58,810 fall the water if all the elements we 228 00:10:01,980 --> 00:10:00,250 probably ought to consider follow the 229 00:10:05,820 --> 00:10:01,990 energy as well in terms of looking for 230 00:10:18,530 --> 00:10:05,830 habitability so yeah there you go any 231 00:10:27,780 --> 00:10:18,540 questions any questions for Thompson ok 232 00:10:29,700 --> 00:10:27,790 keep making me go all the way um so I'm 233 00:10:32,250 --> 00:10:29,710 sorry if this comes from a little bit of 234 00:10:35,490 --> 00:10:32,260 ignorance of both nice geochemistry and 235 00:10:38,220 --> 00:10:35,500 biology Blake yesterday there was a 236 00:10:40,590 --> 00:10:38,230 poster looking at sulfur and its 237 00:10:42,690 --> 00:10:40,600 oxidation in with respect to the great 238 00:10:50,190 --> 00:10:42,700 oxidation event and some other talks 239 00:10:52,050 --> 00:10:50,200 about it and your system uses sulfur and 240 00:10:58,050 --> 00:10:52,060 oxygen and all that sort of fixation 241 00:10:59,820 --> 00:10:58,060 stuff is your a system something that 242 00:11:02,190 --> 00:10:59,830 would be old enough to have had 243 00:11:05,790 --> 00:11:02,200 implications and something like the 244 00:11:07,500 --> 00:11:05,800 great accident oh um probably not this 245 00:11:10,550 --> 00:11:07,510 is the system is only about three to 246 00:11:13,980 --> 00:11:10,560 five million years old it was formed 247 00:11:15,480 --> 00:11:13,990 during basically uplifted pocket of 248 00:11:19,950 --> 00:11:15,490 seawater that got eventually got frozen 249 00:11:22,890 --> 00:11:19,960 over so probably not i don't i mean it 250 00:11:26,910 --> 00:11:22,900 is a totally anaerobic system or anoxic 251 00:11:29,790 --> 00:11:26,920 system rather but i don't know i 252 00:11:32,310 --> 00:11:29,800 honestly don't know enough about the 253 00:11:33,960 --> 00:11:32,320 sort of great the prebiotic or early 254 00:11:35,730 --> 00:11:33,970 Earth literature to really competently 255 00:11:38,790 --> 00:11:35,740 say this is a good analog it's certainly 256 00:11:41,190 --> 00:11:38,800 worth looking into but I can't say from 257 00:11:42,330 --> 00:11:41,200 authority that this is something we 258 00:11:49,080 --> 00:11:42,340 should really be looking for for