1 00:00:12,250 --> 00:00:06,150 you 2 00:00:17,620 --> 00:00:14,160 [Music] 3 00:00:20,500 --> 00:00:17,630 hello I'm Mary Sue Buddha I'm from 4 00:00:22,060 --> 00:00:20,510 Michigan State University and I'm going 5 00:00:23,320 --> 00:00:22,070 to be bringing up some topics that have 6 00:00:25,540 --> 00:00:23,330 been covered a little bit in the 7 00:00:28,210 --> 00:00:25,550 previous session and some things that 8 00:00:31,990 --> 00:00:28,220 people have touched upon throughout apps 9 00:00:36,009 --> 00:00:32,000 icon so far but the point of this talk 10 00:00:38,619 --> 00:00:36,019 is to look at five geochemical 11 00:00:41,619 --> 00:00:38,629 interfaces in 17 izing systems at a much 12 00:00:44,470 --> 00:00:41,629 finer scale specifically we focused on 13 00:00:46,450 --> 00:00:44,480 the case study in June 2016 14 00:00:50,530 --> 00:00:46,460 at the coast range a few light microbial 15 00:00:53,110 --> 00:00:50,540 Observatory so surprising systems we 16 00:00:55,900 --> 00:00:53,120 know are common throughout the world in 17 00:00:58,660 --> 00:00:55,910 Oman Portugal Italy Newfoundland and LA 18 00:01:00,360 --> 00:00:58,670 City but for this work we study at the 19 00:01:03,700 --> 00:01:00,370 coast range Oh feel light in California 20 00:01:06,790 --> 00:01:03,710 it was in place 155 270 million years 21 00:01:08,499 --> 00:01:06,800 ago during the Jurassic period and we 22 00:01:10,650 --> 00:01:08,509 know that serpentinization mobilizes 23 00:01:13,600 --> 00:01:10,660 volatile such as hydrogen and methane 24 00:01:15,219 --> 00:01:13,610 and those ground waters can host reduced 25 00:01:16,950 --> 00:01:15,229 carbon compounds that microbes can use 26 00:01:20,109 --> 00:01:16,960 as sources of nutrients and energy 27 00:01:22,660 --> 00:01:20,119 however because the environment is 28 00:01:23,440 --> 00:01:22,670 extremely alkaline and there's low 29 00:01:25,000 --> 00:01:23,450 dissolved oxygen 30 00:01:26,950 --> 00:01:25,010 it creates really harsh environments for 31 00:01:29,320 --> 00:01:26,960 microbes to live so it's important to 32 00:01:33,910 --> 00:01:29,330 study these organisms and understand how 33 00:01:35,890 --> 00:01:33,920 they can cope with these stresses and so 34 00:01:38,320 --> 00:01:35,900 dependent associated fluids can also 35 00:01:40,690 --> 00:01:38,330 lead to limitations and availability the 36 00:01:42,910 --> 00:01:40,700 availability of nutrients such as di C 37 00:01:46,030 --> 00:01:42,920 to support growth because calcium and 38 00:01:49,690 --> 00:01:46,040 carbonate can react to precipitate s 39 00:01:52,420 --> 00:01:49,700 calcite so chromel is about three hours 40 00:01:55,149 --> 00:01:52,430 north of San Francisco of Lex my 41 00:01:57,819 --> 00:01:55,159 colleagues mentioned earlier look there 42 00:02:00,280 --> 00:01:57,829 are two well sites well clusters Cory 43 00:02:02,109 --> 00:02:00,290 Valley no.8 to the west and then core 44 00:02:04,420 --> 00:02:02,119 shed Wells to the east they're about one 45 00:02:06,280 --> 00:02:04,430 and a half kilometers apart they are 46 00:02:08,280 --> 00:02:06,290 drilled in 2011 and they are drilled to 47 00:02:11,319 --> 00:02:08,290 a bunch of different depths in order to 48 00:02:14,620 --> 00:02:11,329 gain a big-picture perspective of the 49 00:02:18,460 --> 00:02:14,630 subsurface at crumble and kind of gain 50 00:02:20,860 --> 00:02:18,470 insight into processes happening with 51 00:02:23,440 --> 00:02:20,870 depth so as a result the pH ranges from 52 00:02:25,540 --> 00:02:23,450 seven and a half to twelve dissolved 53 00:02:26,380 --> 00:02:25,550 oxygen ranges from point zero nine to 54 00:02:29,290 --> 00:02:26,390 two point four 55 00:02:31,809 --> 00:02:29,300 and eh or oxidation reduction potential 56 00:02:34,120 --> 00:02:31,819 ranges from negative 297 which is very 57 00:02:38,440 --> 00:02:34,130 reducing to 116 millivolts which is 58 00:02:42,280 --> 00:02:38,450 pretty exciting so the point of our 59 00:02:44,110 --> 00:02:42,290 study was to because serpentinization 60 00:02:46,830 --> 00:02:44,120 leads to natural gradients in water 61 00:02:50,020 --> 00:02:46,840 chemistry and all life as we know it 62 00:02:52,840 --> 00:02:50,030 requires generating energy from chemical 63 00:02:55,210 --> 00:02:52,850 gradients so we wanted to elucidate the 64 00:02:57,699 --> 00:02:55,220 relationship between microbial community 65 00:02:59,130 --> 00:02:57,709 compositions and chemical variances 66 00:03:02,430 --> 00:02:59,140 within the serpentine high ground water 67 00:03:05,830 --> 00:03:02,440 and then use that as an analogue for 68 00:03:07,900 --> 00:03:05,840 guiding our efforts in the search for a 69 00:03:11,590 --> 00:03:07,910 stir biologically relevant surprising 70 00:03:15,310 --> 00:03:11,600 systems in life elsewhere so what we did 71 00:03:19,180 --> 00:03:15,320 is in June 2016 we created a top-down 72 00:03:20,710 --> 00:03:19,190 profile of one of the well c SW 1.1 and 73 00:03:22,330 --> 00:03:20,720 the purpose was to understand how those 74 00:03:24,009 --> 00:03:22,340 chemical gradients within the energy 75 00:03:26,110 --> 00:03:24,019 limited and serpent event hosted ground 76 00:03:27,910 --> 00:03:26,120 waters could influence microbial 77 00:03:28,930 --> 00:03:27,920 community compositions and I just want 78 00:03:31,509 --> 00:03:28,940 to emphasize that this is one of the 79 00:03:33,520 --> 00:03:31,519 first comprehensive Wells comprehensive 80 00:03:36,039 --> 00:03:33,530 profiles of us repent o night hosted 81 00:03:38,830 --> 00:03:36,049 groundwater well so it's pretty 82 00:03:41,140 --> 00:03:38,840 important but this is the schematic I 83 00:03:43,840 --> 00:03:41,150 came up with for this I want to explain 84 00:03:45,819 --> 00:03:43,850 it in detail a little bit but we thought 85 00:03:48,190 --> 00:03:45,829 really long and hard about how we would 86 00:03:49,690 --> 00:03:48,200 create a profile without disturbing the 87 00:03:51,400 --> 00:03:49,700 water column and within the time 88 00:03:55,330 --> 00:03:51,410 constraints we had available to us 89 00:03:57,819 --> 00:03:55,340 that's what we did is we took tubing the 90 00:04:00,400 --> 00:03:57,829 depth to water meter an ultra-sensitive 91 00:04:02,710 --> 00:04:00,410 dissolved oxygen probe and sterile tygon 92 00:04:04,870 --> 00:04:02,720 tubing zip-tied together ethanol 93 00:04:07,449 --> 00:04:04,880 everything made sure was as clean and 94 00:04:08,860 --> 00:04:07,459 sterile as possible and then hooked one 95 00:04:11,440 --> 00:04:08,870 end of the tubing up to a peristaltic 96 00:04:16,180 --> 00:04:11,450 pump at the ground surface and then 97 00:04:18,310 --> 00:04:16,190 lowered the collective tubes into the 98 00:04:22,380 --> 00:04:18,320 well proof the top of the well in order 99 00:04:26,170 --> 00:04:22,390 to start sampling and so we chose for 100 00:04:28,870 --> 00:04:26,180 dissolved oxygen depths as a start so we 101 00:04:34,300 --> 00:04:28,880 chose 100 percent air saturation 50 102 00:04:35,470 --> 00:04:34,310 percent 15 and 0 so as we went down we 103 00:04:37,420 --> 00:04:35,480 saw 104 00:04:38,770 --> 00:04:37,430 but when we normally pump the well at 105 00:04:42,340 --> 00:04:38,780 the bottom of the well it's extremely 106 00:04:44,710 --> 00:04:42,350 anoxic so we realize there'd be a 107 00:04:47,040 --> 00:04:44,720 gradient of course with that and so we 108 00:04:50,380 --> 00:04:47,050 used it as a proxy 109 00:04:53,920 --> 00:04:50,390 so we nos are cations anions organic 110 00:04:56,140 --> 00:04:53,930 acids gases sulfide BSE and your water 111 00:04:58,990 --> 00:04:56,150 quality parameters as well as cell 112 00:05:05,670 --> 00:04:59,000 abundances cubit for DNA fluorescence 113 00:05:08,350 --> 00:05:05,680 and 16s RNA sequencing so the idea is 114 00:05:10,260 --> 00:05:08,360 after we finished pumping from the 115 00:05:12,520 --> 00:05:10,270 previous trip the water would infiltrate 116 00:05:14,650 --> 00:05:12,530 riah collaborate with the groundwater 117 00:05:16,990 --> 00:05:14,660 with the new conditions and then the 118 00:05:18,610 --> 00:05:17,000 gradients between the surface or air 119 00:05:20,140 --> 00:05:18,620 saturation and the bottom of the well 120 00:05:22,540 --> 00:05:20,150 would develop and things would stabilize 121 00:05:25,360 --> 00:05:22,550 and then during that process microbes 122 00:05:28,030 --> 00:05:25,370 could take advantage of the gradients 123 00:05:32,350 --> 00:05:28,040 and the mic for basically generating 124 00:05:35,770 --> 00:05:32,360 energy so what we see is other than 125 00:05:38,860 --> 00:05:35,780 dissolved oxygen decreasing pH 126 00:05:43,240 --> 00:05:38,870 temperature pH and conductivity were all 127 00:05:47,020 --> 00:05:43,250 analyzed and it looks like between 9.2 128 00:05:48,670 --> 00:05:47,030 and 4.6 pH decreased but then 129 00:05:52,000 --> 00:05:48,680 temperature eh and conductivity 130 00:05:55,870 --> 00:05:52,010 increased and then between four point 131 00:05:58,620 --> 00:05:55,880 six six and one point four pH increased 132 00:06:01,270 --> 00:05:58,630 and then subsequently temperature eh and 133 00:06:03,580 --> 00:06:01,280 conductivity decreased so we see some 134 00:06:04,840 --> 00:06:03,590 interfaces going on there and we want to 135 00:06:09,820 --> 00:06:04,850 explore this a little more through 136 00:06:12,400 --> 00:06:09,830 microbial analysis before you do that we 137 00:06:16,060 --> 00:06:12,410 analyzed a bunch of anions and dissolved 138 00:06:19,000 --> 00:06:16,070 gases so in the top right here we have 139 00:06:20,770 --> 00:06:19,010 hydrogen and carbon monoxide all these 140 00:06:22,810 --> 00:06:20,780 plots show dissolved oxygen on the y 141 00:06:26,880 --> 00:06:22,820 axis and then concentration of the 142 00:06:30,550 --> 00:06:26,890 parameters are on all the x axis x axis 143 00:06:32,800 --> 00:06:30,560 but hydrogen and carbon monoxide up here 144 00:06:36,190 --> 00:06:32,810 generally show an increase with 145 00:06:38,980 --> 00:06:36,200 decreasing dissolved oxygen v.i.c and 146 00:06:41,130 --> 00:06:38,990 methane show a decrease bromide of 147 00:06:44,680 --> 00:06:41,140 fluoride show a decrease and then 148 00:06:46,890 --> 00:06:44,690 hydrogen sulfide and sulfate redox 149 00:06:48,659 --> 00:06:46,900 parameters show opposite trends which 150 00:06:52,589 --> 00:06:48,669 indicate that 151 00:06:55,559 --> 00:06:52,599 at with decreasing dissolved oxygen it's 152 00:06:58,649 --> 00:06:55,569 becoming more reducing what's up so and 153 00:07:01,649 --> 00:06:58,659 then chloride also shows a decreasing 154 00:07:02,820 --> 00:07:01,659 turns so we'll draw preliminary data and 155 00:07:04,800 --> 00:07:02,830 we need to look at the cations and 156 00:07:07,350 --> 00:07:04,810 anions and balance when we get that data 157 00:07:10,830 --> 00:07:07,360 back to really understand what's 158 00:07:13,379 --> 00:07:10,840 happening but generally in terms of cell 159 00:07:15,239 --> 00:07:13,389 abundances microbial cell counts a 160 00:07:17,369 --> 00:07:15,249 decrease in cell abundance was observed 161 00:07:20,489 --> 00:07:17,379 as oxygen decreased in the wealth as 162 00:07:27,269 --> 00:07:23,719 so from 16s sequences that we received 163 00:07:29,490 --> 00:07:27,279 this one here as the 4.6 six milligrams 164 00:07:32,700 --> 00:07:29,500 per liter dissolved oxygen and then over 165 00:07:35,909 --> 00:07:32,710 here is the 0.075 or deeper into that 166 00:07:37,679 --> 00:07:35,919 profile and always see as a dominance of 167 00:07:39,929 --> 00:07:37,689 beta Proteobacteria as we've heard quite 168 00:07:43,230 --> 00:07:39,939 a lot throughout these talks they 169 00:07:46,320 --> 00:07:43,240 dominate and interestingly we see more 170 00:07:50,129 --> 00:07:46,330 diversity in that bottom of the well 171 00:07:52,320 --> 00:07:50,139 they're like the 0.075 level and that's 172 00:07:55,170 --> 00:07:52,330 likely because see some1 one is case to 173 00:07:57,809 --> 00:07:55,180 a depth and then it becomes uncased and 174 00:08:00,360 --> 00:07:57,819 so it's likely that we pulled some 175 00:08:04,139 --> 00:08:00,370 laterally influenced groundwater from 176 00:08:07,439 --> 00:08:04,149 that area but we also see Dino cacti and 177 00:08:11,730 --> 00:08:07,449 then Rico micro BA and cluster dia as 178 00:08:14,159 --> 00:08:11,740 well dominating so the implications for 179 00:08:17,070 --> 00:08:14,169 this are that we likely see some 180 00:08:18,889 --> 00:08:17,080 recharge happening in a well that led to 181 00:08:21,179 --> 00:08:18,899 subsampling sub lateral groundwater flow 182 00:08:26,240 --> 00:08:21,189 but the cluster D on the route through 183 00:08:29,879 --> 00:08:26,250 Co microbial and all their smaller less 184 00:08:31,829 --> 00:08:29,889 dominant species in these areas should 185 00:08:33,240 --> 00:08:31,839 be looked into a little bit more in 186 00:08:36,269 --> 00:08:33,250 depth to see who's there and exactly 187 00:08:38,040 --> 00:08:36,279 what they're doing but the idea is that 188 00:08:39,600 --> 00:08:38,050 those other organisms may be thriving 189 00:08:43,230 --> 00:08:39,610 off the reduced products of 190 00:08:46,110 --> 00:08:43,240 serpentinization so additionally after 191 00:08:47,639 --> 00:08:46,120 looking at this profile we compared it 192 00:08:51,710 --> 00:08:47,649 to the bottom of the well where we 193 00:08:54,930 --> 00:08:51,720 typically sample and what we see is that 194 00:08:58,110 --> 00:08:54,940 basically sulfide increases and sulfate 195 00:09:00,610 --> 00:08:58,120 decreases with decreasing dissolved 196 00:09:02,650 --> 00:09:00,620 oxygen and then pH increases and 197 00:09:04,030 --> 00:09:02,660 conductivity also increases so it's 198 00:09:08,230 --> 00:09:04,040 getting a little bit higher in 199 00:09:10,390 --> 00:09:08,240 alkalinity and a little bit saltier so 200 00:09:14,110 --> 00:09:10,400 when we compare the 16s sequences from 201 00:09:18,250 --> 00:09:14,120 our two analyses to the well bottom work 202 00:09:19,690 --> 00:09:18,260 by Katrina Queen and authors in 2017 we 203 00:09:22,930 --> 00:09:19,700 see that it's mostly beta bacteria and 204 00:09:23,860 --> 00:09:22,940 Firmicutes again but the pH is really 205 00:09:26,940 --> 00:09:23,870 high it's still 12 206 00:09:28,900 --> 00:09:26,950 so it's likely that serpentina bonus and 207 00:09:31,990 --> 00:09:28,910 which is another beta beta 208 00:09:35,260 --> 00:09:32,000 proteobacteria is dominating there 209 00:09:40,990 --> 00:09:35,270 because it's tightly coupled to pH and 210 00:09:44,920 --> 00:09:41,000 pH 12 specifically so another figure by 211 00:09:48,100 --> 00:09:44,930 Katrina tweak this is a PCA plot just 212 00:09:50,380 --> 00:09:48,110 showing that generally chromel organisms 213 00:09:53,140 --> 00:09:50,390 are influenced by a range of chemical 214 00:09:55,390 --> 00:09:53,150 parameters for instance QV one one is 215 00:09:58,030 --> 00:09:55,400 appeared by depth and temperature 216 00:09:58,450 --> 00:09:58,040 CSM b13 is influenced by temperature and 217 00:10:00,850 --> 00:09:58,460 ORP 218 00:10:03,220 --> 00:10:00,860 but what we're looking interested in SES 219 00:10:06,000 --> 00:10:03,230 f/11 and they are influenced by organic 220 00:10:08,380 --> 00:10:06,010 acids predominantly pH and conductivity 221 00:10:10,150 --> 00:10:08,390 so when we get to organic acids added 222 00:10:13,180 --> 00:10:10,160 back we can see at the top of the well 223 00:10:17,650 --> 00:10:13,190 is still in line with what we see at the 224 00:10:20,950 --> 00:10:17,660 bottom of the well but yes then we 225 00:10:22,900 --> 00:10:20,960 compared the chromo data to the season 226 00:10:26,560 --> 00:10:22,910 one one data to the other wells at 227 00:10:28,810 --> 00:10:26,570 chromo and we see that beta 228 00:10:31,360 --> 00:10:28,820 proteobacteria alpha and gamma dominate 229 00:10:33,760 --> 00:10:31,370 in QV 1 - beta proteobacteria 230 00:10:37,270 --> 00:10:33,770 austria and alpha dominates in CS 3 1/3 231 00:10:39,790 --> 00:10:37,280 and then beta clostridia pastila and 232 00:10:42,520 --> 00:10:39,800 gamma proteobacteria dominate throughout 233 00:10:45,220 --> 00:10:42,530 QV 1 1 and so it's likely that there is 234 00:10:47,620 --> 00:10:45,230 a more bit more diversity here because 235 00:10:50,940 --> 00:10:47,630 it's less alkaline and the conditions 236 00:10:53,260 --> 00:10:50,950 aren't as harsh for organisms to survive 237 00:10:58,600 --> 00:10:53,270 even if just by a little bit it may be 238 00:11:01,360 --> 00:10:58,610 just enough so just to conclude we still 239 00:11:03,610 --> 00:11:01,370 need to get 16s sequences back from the 240 00:11:05,830 --> 00:11:03,620 very top of the profile and the 15% 241 00:11:07,570 --> 00:11:05,840 interval so when we do that we'll be 242 00:11:08,710 --> 00:11:07,580 able to get a full column geochemistry 243 00:11:12,520 --> 00:11:08,720 and microbiology didn't really 244 00:11:13,820 --> 00:11:12,530 understand what's happening but perhaps 245 00:11:15,320 --> 00:11:13,830 we can also 246 00:11:17,510 --> 00:11:15,330 create profiles of other Wells in the 247 00:11:19,040 --> 00:11:17,520 system to compare and analyze and see if 248 00:11:20,480 --> 00:11:19,050 this is just happening in CS everyone 249 00:11:23,270 --> 00:11:20,490 one or if it's consistent throughout the 250 00:11:25,400 --> 00:11:23,280 rest and then this is important because 251 00:11:27,560 --> 00:11:25,410 that Union it lends unique insight into 252 00:11:29,030 --> 00:11:27,570 the variability of microbial species 253 00:11:31,460 --> 00:11:29,040 that can inhabit serpentine izing 254 00:11:33,830 --> 00:11:31,470 systems and the extreme conditions and 255 00:11:35,720 --> 00:11:33,840 then this will help us understand the 256 00:11:38,690 --> 00:11:35,730 distribution and activities of microbes 257 00:11:40,940 --> 00:11:38,700 in the subsurface at chromel in order to 258 00:11:44,030 --> 00:11:40,950 help us detect life in other aster 259 00:11:45,710 --> 00:11:44,040 biologically relevant scenarios so with 260 00:11:47,390 --> 00:11:45,720 that I would like to thank that Nai 261 00:11:49,160 --> 00:11:47,400 early career collaboration award because 262 00:11:51,710 --> 00:11:49,170 without that this would not have been 263 00:11:53,180 --> 00:11:51,720 possible and also Torrey and Mike for 264 00:11:57,080 --> 00:11:53,190 hosting me at Ames this past summer it 265 00:11:58,490 --> 00:11:57,090 was they were a huge help and then the 266 00:12:01,940 --> 00:11:58,500 shrink lab at Michigan State and the 267 00:12:13,250 --> 00:12:01,950 rock powered life team we're also key in 268 00:12:15,320 --> 00:12:13,260 this analysis so thank you alright we 269 00:12:24,550 --> 00:12:15,330 have time for one question and if the 270 00:12:31,129 --> 00:12:27,889 great talk Mary thank you I noticed that 271 00:12:33,650 --> 00:12:31,139 you had a spike in your geochemistry as 272 00:12:35,840 --> 00:12:33,660 you are going down the the do gradient 273 00:12:39,319 --> 00:12:35,850 so not at the very bottom but the one 274 00:12:42,470 --> 00:12:39,329 right above it do you have any idea what 275 00:12:44,120 --> 00:12:42,480 the geochemical or microbiological 276 00:12:46,310 --> 00:12:44,130 reasons or implications could be of that 277 00:12:47,480 --> 00:12:46,320 so I think it's partially because we 278 00:12:50,210 --> 00:12:47,490 have the real collaboration of the well 279 00:12:51,889 --> 00:12:50,220 but then also when we were pumping we 280 00:12:53,810 --> 00:12:51,899 saw a little bit of recharge Japanese so 281 00:12:55,340 --> 00:12:53,820 the water actually increased a little 282 00:12:58,250 --> 00:12:55,350 bit so I think we are pulling laterally 283 00:13:01,519 --> 00:12:58,260 from some probably some surprising water