1 00:00:11,870 --> 00:00:10,129 alright thanks for coming out guys so 2 00:00:14,420 --> 00:00:11,880 we're going to travel back to the mezzo 3 00:00:17,990 --> 00:00:14,430 archaean today but before we do I wanted 4 00:00:21,170 --> 00:00:18,000 to thank my funding sources which is the 5 00:00:22,940 --> 00:00:21,180 current na I can cycle the Lewis and 6 00:00:25,040 --> 00:00:22,950 Clark grant and the GSA graduate 7 00:00:27,979 --> 00:00:25,050 research grant I also like to thank my 8 00:00:29,510 --> 00:00:27,989 collaborators so I'm going to start 9 00:00:31,670 --> 00:00:29,520 today talking about the motivation 10 00:00:34,130 --> 00:00:31,680 behind my research but I'm going to go 11 00:00:36,620 --> 00:00:34,140 into background into the sumotori iron 12 00:00:38,930 --> 00:00:36,630 reduction I'm then I'm going to go into 13 00:00:40,840 --> 00:00:38,940 the approach behind my research and get 14 00:00:43,069 --> 00:00:40,850 some background to my field area and 15 00:00:45,830 --> 00:00:43,079 then I'll present some are an isotope 16 00:00:47,209 --> 00:00:45,840 data put it into context than the model 17 00:00:50,419 --> 00:00:47,219 and tie everything together with some 18 00:00:53,090 --> 00:00:50,429 implications and conclusions so the 19 00:00:55,430 --> 00:00:53,100 question driving my research is was 20 00:00:57,590 --> 00:00:55,440 there a chemical footprint of the 21 00:00:59,930 --> 00:00:57,600 sumotori iron reduction three billion 22 00:01:01,819 --> 00:00:59,940 years ago and I ask this question 23 00:01:05,149 --> 00:01:01,829 because the sumotori iron reduction is 24 00:01:09,230 --> 00:01:05,159 then has great astrobiological potential 25 00:01:12,260 --> 00:01:09,240 its electron acceptor iron is widespread 26 00:01:14,420 --> 00:01:12,270 in the solar system and this metabolism 27 00:01:18,110 --> 00:01:14,430 of the sumotori arm reduction is deeply 28 00:01:20,900 --> 00:01:18,120 rooted in the tree of life so let's move 29 00:01:23,870 --> 00:01:20,910 on to some background this equation 30 00:01:26,060 --> 00:01:23,880 right here is showing the matura RN 31 00:01:29,480 --> 00:01:26,070 reduction with the electron acceptor and 32 00:01:32,300 --> 00:01:29,490 blue and the electron donor in red so in 33 00:01:34,190 --> 00:01:32,310 this process you oxidize the organic 34 00:01:36,440 --> 00:01:34,200 matter at the same time that you reduce 35 00:01:40,040 --> 00:01:36,450 the ferric iron and this produces 36 00:01:42,230 --> 00:01:40,050 ferrous iron the purple boxes here are 37 00:01:44,810 --> 00:01:42,240 indicating the phyla that are capable to 38 00:01:46,670 --> 00:01:44,820 similar Tory I reduction so you can see 39 00:01:48,860 --> 00:01:46,680 that those phyla are deeply rooted and 40 00:01:53,690 --> 00:01:48,870 their present in both the bacterial and 41 00:01:56,060 --> 00:01:53,700 archaeal branches of life so how do we 42 00:01:58,130 --> 00:01:56,070 find dir in the rock record what 43 00:02:01,250 --> 00:01:58,140 fingerprints are there it basically 44 00:02:02,600 --> 00:02:01,260 boils down to isotopes and minerals so 45 00:02:05,150 --> 00:02:02,610 if you guys aren't familiar with iron 46 00:02:07,820 --> 00:02:05,160 isotopes we've got the notation here so 47 00:02:09,380 --> 00:02:07,830 iron isotopes are measured on relative 48 00:02:13,100 --> 00:02:09,390 to a standard which is the average 49 00:02:15,890 --> 00:02:13,110 igneous rocks iron 56 is the heavy 50 00:02:18,530 --> 00:02:15,900 isotope of iron and iron 54 is the light 51 00:02:19,309 --> 00:02:18,540 isotope so if you get a positive Delta 52 00:02:21,920 --> 00:02:19,319 50 53 00:02:24,530 --> 00:02:21,930 6-iron value that means you are enriched 54 00:02:26,629 --> 00:02:24,540 in the heavy isotope relative to igneous 55 00:02:28,640 --> 00:02:26,639 rocks and if you get a negative value 56 00:02:32,780 --> 00:02:28,650 that means you're depleted in the heavy 57 00:02:34,879 --> 00:02:32,790 isotope now this process it also enables 58 00:02:37,099 --> 00:02:34,889 the formation of certain minerals such 59 00:02:40,640 --> 00:02:37,109 as magnetite satellite and Vivian night 60 00:02:47,209 --> 00:02:40,650 so combining isotopes and minerals we 61 00:02:49,879 --> 00:02:47,219 can find dir in the rock record so for 62 00:02:52,399 --> 00:02:49,889 my study I did iron isotopes on whole 63 00:02:55,399 --> 00:02:52,409 rock samples microgel pyrite and 64 00:02:58,159 --> 00:02:55,409 magnetite separates these samples come 65 00:03:00,349 --> 00:02:58,169 from the mezzo archaean Witwatersrand 66 00:03:02,899 --> 00:03:00,359 supergroup and they represent a wide 67 00:03:07,509 --> 00:03:02,909 range of lithologies and depositional 68 00:03:10,189 --> 00:03:07,519 facies so where is the witwatersrand 69 00:03:12,709 --> 00:03:10,199 govardhan supergroup is part of the cat 70 00:03:15,470 --> 00:03:12,719 fall Cretan of South Africa and it's 71 00:03:17,899 --> 00:03:15,480 composed of the older West ran group and 72 00:03:20,990 --> 00:03:17,909 the younger more famous Central Rand 73 00:03:23,780 --> 00:03:21,000 group and Central Rand group is very 74 00:03:26,210 --> 00:03:23,790 famous because it's a it has lots of 75 00:03:28,729 --> 00:03:26,220 gold and but my samples are from the 76 00:03:30,409 --> 00:03:28,739 west rand group and we are lucky to get 77 00:03:32,179 --> 00:03:30,419 those samples because when they're 78 00:03:34,610 --> 00:03:32,189 trying to sample the central ran groups 79 00:03:36,499 --> 00:03:34,620 sometimes the drill cores went down too 80 00:03:38,929 --> 00:03:36,509 far and they accidentally sample the 81 00:03:42,740 --> 00:03:38,939 western group so I'm very thankful for 82 00:03:45,550 --> 00:03:42,750 that so there's a couple really 83 00:03:48,349 --> 00:03:45,560 fantastic aspects of the Western group 84 00:03:51,259 --> 00:03:48,359 the first is that it's experienced 85 00:03:53,479 --> 00:03:51,269 low-grade lo green show species 86 00:03:55,640 --> 00:03:53,489 metamorphism which sounds pretty scary 87 00:03:57,800 --> 00:03:55,650 to anyone that works with younger rocks 88 00:03:59,509 --> 00:03:57,810 or modern sediments but for the mezzo 89 00:04:03,619 --> 00:03:59,519 archaean it's pretty much the best we 90 00:04:06,050 --> 00:04:03,629 can hope for I these rocks represent a 91 00:04:09,949 --> 00:04:06,060 complete depositional Basin from just 92 00:04:11,890 --> 00:04:09,959 offshore to the starve shelf and these 93 00:04:14,959 --> 00:04:11,900 rocks have been used as evidence for 94 00:04:18,110 --> 00:04:14,969 atmospheric oxygen and that has come in 95 00:04:20,180 --> 00:04:18,120 the form of chromium isotopes selenium 96 00:04:24,379 --> 00:04:20,190 concentrations in pyrite and molybdenum 97 00:04:26,899 --> 00:04:24,389 isotopes so I say that we have this 98 00:04:33,100 --> 00:04:26,909 whole complete depositional Basin where 99 00:04:38,720 --> 00:04:36,800 so you can see here that this is a sort 100 00:04:40,280 --> 00:04:38,730 of model ocean basin and so we have 101 00:04:42,260 --> 00:04:40,290 samples from the braids approval depo 102 00:04:44,030 --> 00:04:42,270 phases which is just off shore and then 103 00:04:45,740 --> 00:04:44,040 slightly ensure the pro delta depth of 104 00:04:48,140 --> 00:04:45,750 faces and they should be considered 105 00:04:50,480 --> 00:04:48,150 proximal the transitional shelf would be 106 00:04:52,040 --> 00:04:50,490 intermediate and the outer shelf and 107 00:04:55,340 --> 00:04:52,050 starve shelf would be the distal 108 00:04:58,100 --> 00:04:55,350 depositional facies so let's look at 109 00:05:01,220 --> 00:04:58,110 some data this is showing iron isotopes 110 00:05:03,710 --> 00:05:01,230 plotted against tol iron concentrations 111 00:05:05,810 --> 00:05:03,720 which is normalized to Luminum and we 112 00:05:08,180 --> 00:05:05,820 normalized to aluminum because we want 113 00:05:11,810 --> 00:05:08,190 to look at iron enrichment beyond the 114 00:05:13,850 --> 00:05:11,820 trityl flux so the cooler blue colors 115 00:05:16,910 --> 00:05:13,860 are more proximal depositional facies 116 00:05:19,520 --> 00:05:16,920 and the more red warmer colors are the 117 00:05:21,620 --> 00:05:19,530 more distal depositional phases the 118 00:05:23,660 --> 00:05:21,630 diamonds are micro joule pyrite the 119 00:05:27,650 --> 00:05:23,670 circles are whole rocks and the squares 120 00:05:29,330 --> 00:05:27,660 are magnetite separates so we can see 121 00:05:30,950 --> 00:05:29,340 that as we move from the proximal part 122 00:05:32,930 --> 00:05:30,960 of the basin to the more distal part of 123 00:05:36,230 --> 00:05:32,940 basin we're getting enrichment in the 124 00:05:39,530 --> 00:05:36,240 iron contents so this line here is 125 00:05:42,050 --> 00:05:39,540 showing the iron concentration of the 126 00:05:43,700 --> 00:05:42,060 average our crust and to the left of 127 00:05:45,860 --> 00:05:43,710 this line we have mostly proximal 128 00:05:48,020 --> 00:05:45,870 samples which means they are depleted an 129 00:05:50,750 --> 00:05:48,030 iron relative to the average crust and 130 00:05:52,730 --> 00:05:50,760 on the right side we see the more distal 131 00:05:55,760 --> 00:05:52,740 samples and they are enriched in iron 132 00:05:57,140 --> 00:05:55,770 relative to the crust you can also see 133 00:05:59,090 --> 00:05:57,150 that the same time we have iron 134 00:06:03,950 --> 00:05:59,100 enrichment we're getting increasingly 135 00:06:06,830 --> 00:06:03,960 negative Delta 56 iron values and this 136 00:06:09,800 --> 00:06:06,840 line here is representing the average 137 00:06:11,720 --> 00:06:09,810 Delta 56 iron value of our key and crust 138 00:06:13,970 --> 00:06:11,730 so above the line we have mostly 139 00:06:15,680 --> 00:06:13,980 proximal samples which means that they 140 00:06:18,610 --> 00:06:15,690 are enriched in the heavy isotope of 141 00:06:22,160 --> 00:06:18,620 iron and then below this line we have 142 00:06:24,770 --> 00:06:22,170 the more negative Delta 56 samples the 143 00:06:26,900 --> 00:06:24,780 delt the distal depo faces and that 144 00:06:29,780 --> 00:06:26,910 means that they are depleted in the 145 00:06:31,550 --> 00:06:29,790 heavy isotope relative to the crust so 146 00:06:34,160 --> 00:06:31,560 this inverse correlation between the 147 00:06:36,650 --> 00:06:34,170 iron concentration and the iron isotope 148 00:06:38,570 --> 00:06:36,660 values has been seen before in modern 149 00:06:40,640 --> 00:06:38,580 environments and it's indicative of 150 00:06:43,820 --> 00:06:40,650 something called a benthic iron shuttle 151 00:06:46,250 --> 00:06:43,830 or microbial iron shuttle 152 00:06:49,490 --> 00:06:46,260 so this work was pioneered by silca 153 00:06:52,880 --> 00:06:49,500 sever minh and in her 2008 study on the 154 00:06:55,910 --> 00:06:52,890 black sea they found that I sitaki light 155 00:06:58,070 --> 00:06:55,920 iron was being produced on the shelf by 156 00:07:00,980 --> 00:06:58,080 microbes and this light iron was 157 00:07:03,800 --> 00:07:00,990 preferentially removed and deposited 158 00:07:06,530 --> 00:07:03,810 entrapped in the more distal deep basin 159 00:07:09,500 --> 00:07:06,540 this meant that a residual heavy pool of 160 00:07:12,410 --> 00:07:09,510 iron was left on the shelf now another 161 00:07:15,140 --> 00:07:12,420 important aspect of the study is that it 162 00:07:17,180 --> 00:07:15,150 required a redox boundary in order to 163 00:07:20,210 --> 00:07:17,190 trap the benthic iron flux through the 164 00:07:22,550 --> 00:07:20,220 microbial iron flux and in fact every 165 00:07:26,060 --> 00:07:22,560 study that I've come across of microbial 166 00:07:28,400 --> 00:07:26,070 iron shuttle requires a redox boundary 167 00:07:30,440 --> 00:07:28,410 in order to get that inverse correlation 168 00:07:33,890 --> 00:07:30,450 between iron concentration and iron 169 00:07:35,960 --> 00:07:33,900 isotopes so this is modern environment 170 00:07:39,190 --> 00:07:35,970 study how does this apply to the measure 171 00:07:42,530 --> 00:07:39,200 can and this is where it gets fun so 172 00:07:45,200 --> 00:07:42,540 we've got a model and the first part of 173 00:07:47,660 --> 00:07:45,210 the model is we need food for the 174 00:07:50,990 --> 00:07:47,670 dissymmetry iron reducing bacteria and 175 00:07:53,210 --> 00:07:51,000 so because other papers have come out 176 00:07:54,950 --> 00:07:53,220 suggesting that oxygen was present in 177 00:07:56,450 --> 00:07:54,960 this mess rocky atmosphere I'm 178 00:07:58,730 --> 00:07:56,460 suggesting that there is a redox 179 00:08:01,130 --> 00:07:58,740 stratified water column with oxic 180 00:08:04,520 --> 00:08:01,140 surface waters on top and anoxic 181 00:08:08,110 --> 00:08:04,530 ferruginous waters below so iron would 182 00:08:12,200 --> 00:08:08,120 precipitate and go to the shelf and 183 00:08:16,430 --> 00:08:12,210 these ferric iron would be reduced by 184 00:08:19,880 --> 00:08:16,440 the dir bacteria and a produce I stop 185 00:08:21,890 --> 00:08:19,890 relight iron now this isotope cool iron 186 00:08:24,830 --> 00:08:21,900 would be preferentially removed and 187 00:08:26,780 --> 00:08:24,840 trapped below the redox climb and this 188 00:08:29,090 --> 00:08:26,790 would leave the heavy iron isotopes on 189 00:08:31,640 --> 00:08:29,100 the shelf this is why we have the more 190 00:08:33,590 --> 00:08:31,650 heavy iron isotopes on the shelf and 191 00:08:37,790 --> 00:08:33,600 they get increasingly light as we 192 00:08:39,920 --> 00:08:37,800 increase the distance from the shelf so 193 00:08:42,170 --> 00:08:39,930 one of the remaining question is what 194 00:08:45,170 --> 00:08:42,180 minerals are the reservoirs for the 195 00:08:47,390 --> 00:08:45,180 benthic iron flux I address this 196 00:08:49,520 --> 00:08:47,400 question by doing normative calculations 197 00:08:53,030 --> 00:08:49,530 based on bulk element data and iron 198 00:08:56,660 --> 00:08:53,040 speciation data and so you can see that 199 00:08:57,150 --> 00:08:56,670 the green represents a silicate as the 200 00:08:59,639 --> 00:08:57,160 iron bear 201 00:09:02,730 --> 00:08:59,649 in face the red it would indicate 202 00:09:05,369 --> 00:09:02,740 magnetite the blue pyrite and then the 203 00:09:07,379 --> 00:09:05,379 purple hematite and as we move from the 204 00:09:10,139 --> 00:09:07,389 proximal to the more distal part of the 205 00:09:12,720 --> 00:09:10,149 basin we're having seen an increasing 206 00:09:14,999 --> 00:09:12,730 proportion of magnetite and this leads 207 00:09:16,860 --> 00:09:15,009 us to hypothesize that it's magnetite is 208 00:09:20,189 --> 00:09:16,870 the main reservoir for the benefit iron 209 00:09:21,809 --> 00:09:20,199 flux you can also see that the size of 210 00:09:23,429 --> 00:09:21,819 the pie chart is increasing as we're 211 00:09:25,710 --> 00:09:23,439 moving to the distal basin and that 212 00:09:28,410 --> 00:09:25,720 represents iron enrichment but it's not 213 00:09:31,530 --> 00:09:28,420 just iron that's being enriched this a 214 00:09:33,629 --> 00:09:31,540 trend also holds for manganese manganese 215 00:09:35,119 --> 00:09:33,639 is increasing as we go from the proximal 216 00:09:37,889 --> 00:09:35,129 to the distal part of the basin and 217 00:09:40,040 --> 00:09:37,899 another previous study on the banded 218 00:09:43,499 --> 00:09:40,050 iron formations of the starved shelf of 219 00:09:45,990 --> 00:09:43,509 these rocks found that manganese was 220 00:09:47,730 --> 00:09:46,000 anomalously enriched compared to all 221 00:09:53,360 --> 00:09:47,740 other banded iron formations of the 222 00:09:56,400 --> 00:09:53,370 archaean so if we plot iron isotopes 223 00:09:58,170 --> 00:09:56,410 against manganese concentrations you can 224 00:10:00,660 --> 00:09:58,180 see that we have an inverse correlation 225 00:10:03,210 --> 00:10:00,670 here as well where we have increasing 226 00:10:05,759 --> 00:10:03,220 manganese content and that corresponds 227 00:10:08,759 --> 00:10:05,769 with more and more light iron isotope 228 00:10:11,790 --> 00:10:08,769 values so this leads me to hypothesize 229 00:10:14,699 --> 00:10:11,800 that manganese is hitching a ride on the 230 00:10:17,550 --> 00:10:14,709 microbial iron shuttle so manganese is 231 00:10:19,740 --> 00:10:17,560 being shuttled as well so to tie 232 00:10:22,139 --> 00:10:19,750 everything together we see an inverse 233 00:10:24,269 --> 00:10:22,149 correlation between the iron content and 234 00:10:27,660 --> 00:10:24,279 the iron isotopes which is indicative of 235 00:10:29,340 --> 00:10:27,670 microbial iron shuttle and the inverse 236 00:10:31,470 --> 00:10:29,350 correlation between iron isotopes a 237 00:10:34,949 --> 00:10:31,480 manganese content is suggesting that 238 00:10:37,410 --> 00:10:34,959 manganese is being shuttled as well the 239 00:10:39,480 --> 00:10:37,420 iron enrichment is corresponding to an 240 00:10:41,549 --> 00:10:39,490 increasing proportion of magnetite in 241 00:10:44,090 --> 00:10:41,559 the samples and this study is 242 00:10:47,100 --> 00:10:44,100 particularly exciting because it is the 243 00:10:49,439 --> 00:10:47,110 oldest record of microbial iron shuttle 244 00:10:51,749 --> 00:10:49,449 that we have and it shows that the 245 00:10:53,850 --> 00:10:51,759 sumotori iron reduction was a left of 246 00:10:57,600 --> 00:10:53,860 basin-wide footprint three billion years 247 00:11:00,389 --> 00:10:57,610 ago so this implies that there is an 248 00:11:02,720 --> 00:11:00,399 active iron cycling microbial community 249 00:11:05,370 --> 00:11:02,730 and the redox stratified ocean and 250 00:11:09,569 --> 00:11:05,380 lastly i think this emphasizes the 251 00:11:10,980 --> 00:11:09,579 importance of using basin-wide samples 252 00:11:13,139 --> 00:11:10,990 to address basin 253 00:11:15,180 --> 00:11:13,149 research questions because if I had only 254 00:11:17,699 --> 00:11:15,190 sampled the proximal part of the basin 255 00:11:20,670 --> 00:11:17,709 argc heavy iron eyes took values and 256 00:11:22,440 --> 00:11:20,680 think maybe some iron was oxidized if I 257 00:11:24,630 --> 00:11:22,450 only sampled the distal part of the 258 00:11:27,090 --> 00:11:24,640 basin or just seeing negative iron eyes 259 00:11:28,440 --> 00:11:27,100 took values and think there's dir there 260 00:11:31,470 --> 00:11:28,450 and that would be the end of the story 261 00:11:33,090 --> 00:11:31,480 it was only with the complete basin that 262 00:11:35,460 --> 00:11:33,100 I could be able to piece together a 263 00:11:49,500 --> 00:11:35,470 model of a mezzo archaean iron shuttle 264 00:11:52,380 --> 00:11:49,510 so with that are there any questions so 265 00:11:55,110 --> 00:11:52,390 you mentioned how you're moving the 266 00:11:57,870 --> 00:11:55,120 ferrous iron from the surface ocean into 267 00:12:00,030 --> 00:11:57,880 the deep ocean so if the surface ocean 268 00:12:02,670 --> 00:12:00,040 is oxidized in the deep ocean is reduced 269 00:12:05,400 --> 00:12:02,680 or an toxic I guess or dis oxic 270 00:12:08,730 --> 00:12:05,410 depending on you want to freeze it how 271 00:12:11,070 --> 00:12:08,740 are you getting the ferrous iron through 272 00:12:13,170 --> 00:12:11,080 the oxygen and then immobilizing it in 273 00:12:15,720 --> 00:12:13,180 the deep ocean that's an excellent 274 00:12:18,000 --> 00:12:15,730 question so there's multiple ways that 275 00:12:19,920 --> 00:12:18,010 or there's multiple different transport 276 00:12:21,660 --> 00:12:19,930 mechanisms that have been invoked in the 277 00:12:23,699 --> 00:12:21,670 literature for microbial iron shuttles 278 00:12:27,000 --> 00:12:23,709 the first would be a ferrous ion 279 00:12:30,300 --> 00:12:27,010 traveling along the redox klein and then 280 00:12:32,910 --> 00:12:30,310 going down below another one of via the 281 00:12:34,440 --> 00:12:32,920 iron is transported by ligands and that 282 00:12:37,170 --> 00:12:34,450 would be able to travel through the 283 00:12:39,329 --> 00:12:37,180 octopus waters that way and the last is 284 00:12:41,730 --> 00:12:39,339 that the bed the garrn flux is being 285 00:12:45,420 --> 00:12:41,740 transported as a solid a nanoparticulate 286 00:12:48,180 --> 00:12:45,430 solid and that is on what I favor but it 287 00:12:50,100 --> 00:12:48,190 requires that all of the benthic iron 288 00:12:52,650 --> 00:12:50,110 flux is oxidized if you're going to 289 00:12:58,710 --> 00:12:52,660 preserve that heavy the light iron