1 00:00:12,250 --> 00:00:06,150 you 2 00:00:16,870 --> 00:00:14,220 [Music] 3 00:00:19,120 --> 00:00:16,880 thank you for coming everyone just a 4 00:00:23,160 --> 00:00:19,130 brief update on the title as you may 5 00:00:27,540 --> 00:00:23,170 have read so I changed the title to 6 00:00:29,859 --> 00:00:27,550 evidence for Institute iron cycling from 7 00:00:31,480 --> 00:00:29,869 focusing just on the let's autotrophs 8 00:00:34,869 --> 00:00:31,490 because I think the iron cycle in 9 00:00:39,460 --> 00:00:34,879 general makes for a more interesting 10 00:00:42,100 --> 00:00:39,470 story in my system so to get everyone 11 00:00:44,680 --> 00:00:42,110 oriented chocolate pots is in 12 00:00:47,100 --> 00:00:44,690 Yellowstone and it's in the northwest 13 00:00:51,790 --> 00:00:47,110 corner right along the given river 14 00:00:54,310 --> 00:00:51,800 denoted by the blue X and here we have a 15 00:00:59,470 --> 00:00:54,320 couple pictures of hot springs we have 16 00:01:02,619 --> 00:00:59,480 the oops there we go so we have the vent 17 00:01:05,469 --> 00:01:02,629 pool up here the flow path and then 18 00:01:07,560 --> 00:01:05,479 chocolate pots is very interesting hot 19 00:01:10,810 --> 00:01:07,570 spring because it's circum neutral pH 20 00:01:13,719 --> 00:01:10,820 mildly thermophilic and contains a high 21 00:01:17,740 --> 00:01:13,729 amount of iron and silica in the spring 22 00:01:19,420 --> 00:01:17,750 water from a biological perspective were 23 00:01:23,649 --> 00:01:19,430 interested environments like this 24 00:01:27,999 --> 00:01:23,659 because of the new and recent 25 00:01:30,730 --> 00:01:28,009 discoveries of certain neutral pH like 26 00:01:33,940 --> 00:01:30,740 environments on Mars and the evidence of 27 00:01:37,330 --> 00:01:33,950 relic hot spring-like features and if 28 00:01:40,480 --> 00:01:37,340 we're able to nail down evidence for 29 00:01:43,840 --> 00:01:40,490 internally cycling iron base metabolisms 30 00:01:46,149 --> 00:01:43,850 in environments like chocolate pots then 31 00:01:50,260 --> 00:01:46,159 this could in theory be applied to some 32 00:01:53,140 --> 00:01:50,270 of these relic features on Mars so we 33 00:01:55,060 --> 00:01:53,150 have two main hypotheses going forward 34 00:01:57,609 --> 00:01:55,070 with this study the first is that there 35 00:02:00,550 --> 00:01:57,619 are native active iron reducing 36 00:02:03,490 --> 00:02:00,560 microorganisms present in the chocolate 37 00:02:06,010 --> 00:02:03,500 pots event and also that there are lipid 38 00:02:08,919 --> 00:02:06,020 atrophic iron oxidizers which are also 39 00:02:12,009 --> 00:02:08,929 actively cycling iron and in addition as 40 00:02:15,970 --> 00:02:12,019 let the autotrophs they are fixing 41 00:02:20,050 --> 00:02:15,980 carbon debt yeah fixing co2 and able to 42 00:02:22,180 --> 00:02:20,060 supplement other sources of carbon for 43 00:02:24,730 --> 00:02:22,190 the heterotrophic community 44 00:02:27,680 --> 00:02:24,740 so backing up a little bit some of our 45 00:02:31,100 --> 00:02:27,690 initial work with materials from 46 00:02:34,449 --> 00:02:31,110 chocolate pots we ran a series of iron 47 00:02:38,510 --> 00:02:34,459 reducing enrichment culture studies and 48 00:02:41,120 --> 00:02:38,520 this is a graph showing the repeated 49 00:02:44,110 --> 00:02:41,130 transfer of these cultures for over four 50 00:02:46,850 --> 00:02:44,120 years and they've been able to sustain a 51 00:02:52,190 --> 00:02:46,860 fairly high level of iron reducing 52 00:02:54,670 --> 00:02:52,200 activity and through both 16s and meta 53 00:02:57,560 --> 00:02:54,680 genomic sequence data we've identified 54 00:03:00,979 --> 00:02:57,570 sequences that are related to known iron 55 00:03:05,380 --> 00:03:00,989 reducing taxa including a Geo vector and 56 00:03:09,050 --> 00:03:05,390 mealy factor moving one step towards 57 00:03:11,330 --> 00:03:09,060 choosing apart the infant we ran another 58 00:03:15,520 --> 00:03:11,340 series of short duration incubations 59 00:03:18,590 --> 00:03:15,530 using just the native sediments and 60 00:03:20,960 --> 00:03:18,600 amended with and without additional 61 00:03:22,729 --> 00:03:20,970 electron donor and the things I'd like 62 00:03:25,790 --> 00:03:22,739 to point out here is in this feature 63 00:03:27,500 --> 00:03:25,800 which they're the that figure which 64 00:03:30,650 --> 00:03:27,510 corresponds to material collected from 65 00:03:32,750 --> 00:03:30,660 the hot spring vent you have an almost 66 00:03:36,920 --> 00:03:32,760 equivalent level of iron reduction 67 00:03:39,170 --> 00:03:36,930 activity regardless of electron donor 68 00:03:41,870 --> 00:03:39,180 source whereas if you move a few meters 69 00:03:44,660 --> 00:03:41,880 away at site three there's still a 70 00:03:47,479 --> 00:03:44,670 measurable amount of activity of the 71 00:03:51,740 --> 00:03:47,489 organisms using their native carbon 72 00:03:54,170 --> 00:03:51,750 source but it's greatly reduced so this 73 00:03:57,819 --> 00:03:54,180 led us to the question of what is this 74 00:03:59,660 --> 00:03:57,829 internal carbon source is it coming from 75 00:04:03,289 --> 00:03:59,670 chemoautotrophs is it from the 76 00:04:05,810 --> 00:04:03,299 cyanobacterial community is it breakdown 77 00:04:08,479 --> 00:04:05,820 of plant or animal to trade detritus 78 00:04:12,020 --> 00:04:08,489 from the external environment whereas 79 00:04:15,800 --> 00:04:12,030 the carbon coming from so and we have 80 00:04:19,069 --> 00:04:15,810 16s data from this as well and several 81 00:04:21,140 --> 00:04:19,079 Oh to use related to an organism 82 00:04:24,650 --> 00:04:21,150 Ignasi bacterium while it is not 83 00:04:26,600 --> 00:04:24,660 implicated as an iron reducer it is very 84 00:04:31,320 --> 00:04:26,610 similar to this newly or a factor which 85 00:04:33,790 --> 00:04:31,330 I identified in the enrichment cultures 86 00:04:36,340 --> 00:04:33,800 taking a look now at the in Scituate 87 00:04:39,630 --> 00:04:36,350 vironment we collected a series of core 88 00:04:44,080 --> 00:04:39,640 samples moving down the flow path and 89 00:04:47,200 --> 00:04:44,090 the 16s data from these samples revealed 90 00:04:49,570 --> 00:04:47,210 sequences related to known with 91 00:04:52,690 --> 00:04:49,580 autotrophic iron oxidizers sitter 92 00:04:54,970 --> 00:04:52,700 oxidants and again this relative of a 93 00:05:00,040 --> 00:04:54,980 potential iron reducer Ignasi bacterial 94 00:05:03,670 --> 00:05:00,050 ease so magic and ohmic work flow I'll 95 00:05:06,130 --> 00:05:03,680 cover in brief you start out with a very 96 00:05:08,590 --> 00:05:06,140 complex community like chop the pots get 97 00:05:12,430 --> 00:05:08,600 all the DNA sequence it put it back 98 00:05:15,460 --> 00:05:12,440 together separate it out into bins which 99 00:05:17,950 --> 00:05:15,470 are you can think of as being different 100 00:05:19,720 --> 00:05:17,960 taxa within the community and then what 101 00:05:21,909 --> 00:05:19,730 we're really interested in is what is 102 00:05:26,290 --> 00:05:21,919 the metabolic potential of some of these 103 00:05:28,240 --> 00:05:26,300 these bins or taxa and we're taking a 104 00:05:33,010 --> 00:05:28,250 targeted meta genomic approach looking 105 00:05:35,680 --> 00:05:33,020 at which genes are appear to be involved 106 00:05:39,730 --> 00:05:35,690 in iron cycling and which ones are 107 00:05:43,240 --> 00:05:39,740 involved in carbon fixation so here we 108 00:05:47,500 --> 00:05:43,250 have the community of two metagenomes 109 00:05:49,840 --> 00:05:47,510 that I assembled from chocolate pots one 110 00:05:51,880 --> 00:05:49,850 is from water filtered from the vent 111 00:05:54,700 --> 00:05:51,890 pool and another one is a combined 112 00:05:56,560 --> 00:05:54,710 assembly from three of those sediment 113 00:06:02,230 --> 00:05:56,570 cores that I mentioned and once again 114 00:06:04,330 --> 00:06:02,240 you see bins related to this known with 115 00:06:09,640 --> 00:06:04,340 the autotroph and this possible iron 116 00:06:14,590 --> 00:06:09,650 reducer so thank you to Dave Emerson for 117 00:06:16,270 --> 00:06:14,600 the lovely introduction - I see - I will 118 00:06:18,730 --> 00:06:16,280 not be covering that in my talk because 119 00:06:20,969 --> 00:06:18,740 I found no homologues that in my system 120 00:06:23,770 --> 00:06:20,979 but I will be talking about this other 121 00:06:27,719 --> 00:06:23,780 electron or extracellular electron 122 00:06:30,940 --> 00:06:27,729 transfer system a pouring wrapped 123 00:06:33,159 --> 00:06:30,950 version where you have a pour in in 124 00:06:35,620 --> 00:06:33,169 opening in the outer membrane of the 125 00:06:37,659 --> 00:06:35,630 cell and a cytochrome which fits into 126 00:06:39,490 --> 00:06:37,669 that and is able to transfer electrons 127 00:06:41,830 --> 00:06:39,500 into or out of the cell depending on 128 00:06:43,350 --> 00:06:41,840 whether it's an iron oxidizer or I 129 00:06:47,040 --> 00:06:43,360 reducer 130 00:06:48,719 --> 00:06:47,050 and there's two homologs in particular I 131 00:06:52,740 --> 00:06:48,729 want to point out there's this MTO a 132 00:06:55,350 --> 00:06:52,750 system which is identified in said er 133 00:06:59,219 --> 00:06:55,360 oxidants and there's this geo factor 134 00:07:02,279 --> 00:06:59,229 like pouran cytochrome system and it's 135 00:07:06,779 --> 00:07:02,289 also been identified in that Ignasi 136 00:07:08,339 --> 00:07:06,789 bacterium organism these are just 137 00:07:11,100 --> 00:07:08,349 several different search tools that you 138 00:07:13,230 --> 00:07:11,110 can use hidden Markov models blastp 139 00:07:14,850 --> 00:07:13,240 homology many different ways to identify 140 00:07:15,839 --> 00:07:14,860 these genes but one of the more 141 00:07:19,860 --> 00:07:15,849 important things that we're interested 142 00:07:25,170 --> 00:07:19,870 in is the genomic context of these genes 143 00:07:28,080 --> 00:07:25,180 that genomically you need to find a pore 144 00:07:34,850 --> 00:07:28,090 in encoded next to one or several of 145 00:07:38,189 --> 00:07:34,860 these cytochromes okay we're looking for 146 00:07:40,050 --> 00:07:38,199 multiple co2 fixation pathways but for 147 00:07:43,679 --> 00:07:40,060 the sake of brevity I'm only going to 148 00:07:47,969 --> 00:07:43,689 cover Rubisco today so to quote my 149 00:07:51,749 --> 00:07:47,979 advisor if you identify a bin with an ET 150 00:07:54,119 --> 00:07:51,759 system and Rubisco that's a pretty good 151 00:07:57,379 --> 00:07:54,129 smoking gun of an organism that may be 152 00:08:01,140 --> 00:07:57,389 involved in a litter litho autotrophic 153 00:08:05,010 --> 00:08:01,150 lifestyle and we very similar search 154 00:08:09,329 --> 00:08:05,020 parameters for these genes so here I 155 00:08:13,740 --> 00:08:09,339 have a summary of all of the metagenomic 156 00:08:16,969 --> 00:08:13,750 bins from these two assemblies in red we 157 00:08:23,249 --> 00:08:16,979 have all of the bins that contained some 158 00:08:28,249 --> 00:08:23,259 model EEG system in yellow we have all 159 00:08:31,230 --> 00:08:28,259 of the bins that contained a hit for 160 00:08:34,139 --> 00:08:31,240 Rubisco and what we're mostly interested 161 00:08:36,569 --> 00:08:34,149 in is these bins that contained both 162 00:08:39,839 --> 00:08:36,579 systems and may be involved in chemo 163 00:08:41,459 --> 00:08:39,849 little otter trophy and then down here 164 00:08:44,010 --> 00:08:41,469 at the bottom are bins that were not 165 00:08:47,310 --> 00:08:44,020 involved in any of it 166 00:08:49,680 --> 00:08:47,320 so bringing this back to the two 167 00:08:52,050 --> 00:08:49,690 organisms that I've been mentioning 168 00:08:53,610 --> 00:08:52,060 throughout this talk the sitter oxidants 169 00:08:57,600 --> 00:08:53,620 and the ignominy she really is 170 00:09:00,269 --> 00:08:57,610 I just wanted to summarize the results 171 00:09:02,880 --> 00:09:00,279 in terms of those two organisms so up in 172 00:09:05,340 --> 00:09:02,890 gray we have the published genomes of 173 00:09:07,680 --> 00:09:05,350 these organisms and against utter 174 00:09:12,510 --> 00:09:07,690 oxidants containing this MTO system and 175 00:09:14,550 --> 00:09:12,520 Rubisco and the two related 176 00:09:17,190 --> 00:09:14,560 Ignasi bacterium and me leroy vector 177 00:09:20,519 --> 00:09:17,200 containing only that geo vector like TCC 178 00:09:21,360 --> 00:09:20,529 system whereas looking at the two 179 00:09:24,000 --> 00:09:21,370 metagenomes 180 00:09:27,360 --> 00:09:24,010 here we have a sitter oxidants relative 181 00:09:29,880 --> 00:09:27,370 that all of a sudden has a PCC system 182 00:09:34,769 --> 00:09:29,890 and we have these Ignasi bacterias that 183 00:09:38,100 --> 00:09:34,779 have MgO and Rubisco which is really 184 00:09:40,949 --> 00:09:38,110 interesting that sitter oxidants which 185 00:09:44,699 --> 00:09:40,959 is a known with autotrophic iron 186 00:09:46,590 --> 00:09:44,709 oxidizer contains PCC which so far has 187 00:09:48,990 --> 00:09:46,600 only been implicated in iron reduction 188 00:09:53,040 --> 00:09:49,000 so perhaps this is a relative that is 189 00:09:56,250 --> 00:09:53,050 able to carry out both iron oxidation 190 00:09:58,500 --> 00:09:56,260 and iron reduction and for the Ignasi 191 00:10:02,460 --> 00:09:58,510 bacteria Li's as I mentioned before has 192 00:10:06,389 --> 00:10:02,470 an e ET system and Rubisco so perhaps it 193 00:10:12,099 --> 00:10:06,399 is capable of carrying out a little odd 194 00:10:18,079 --> 00:10:15,710 so to wrap things up once again we have 195 00:10:21,049 --> 00:10:18,089 a highly active dissimilatory iron 196 00:10:23,599 --> 00:10:21,059 reducing community at the chocolate pots 197 00:10:25,819 --> 00:10:23,609 event and it is able to sustain itself 198 00:10:28,280 --> 00:10:25,829 using only the native carbon source 199 00:10:30,619 --> 00:10:28,290 we have metagenomic bins that are 200 00:10:33,799 --> 00:10:30,629 related to known and potential iron 201 00:10:36,289 --> 00:10:33,809 cycling microorganisms we have the 202 00:10:38,720 --> 00:10:36,299 positive identification of homologs of 203 00:10:41,629 --> 00:10:38,730 genes involved in both these eeet 204 00:10:43,970 --> 00:10:41,639 pathways and carbon fixation pathways 205 00:10:48,109 --> 00:10:43,980 and as a side note we're in the process 206 00:10:51,109 --> 00:10:48,119 of identifying lipid biomarkers from 207 00:10:54,049 --> 00:10:51,119 these materials to try and nail down a 208 00:10:57,829 --> 00:10:54,059 possible source of the carbon that's 209 00:11:01,749 --> 00:10:57,839 present in statue and one last thing I 210 00:11:05,150 --> 00:11:01,759 would like to mention so I only covered 211 00:11:06,349 --> 00:11:05,160 very briefly the model systems that 212 00:11:09,109 --> 00:11:06,359 we've been looking at but we've also 213 00:11:11,720 --> 00:11:09,119 expanded our search to look for non 214 00:11:14,769 --> 00:11:11,730 model ET systems and we're also looking 215 00:11:20,239 --> 00:11:14,779 at all of the known carbon fixation 216 00:11:22,189 --> 00:11:20,249 pathways in these systems and that I'd 217 00:11:25,099 --> 00:11:22,199 like to thank the organizers for the 218 00:11:26,659 --> 00:11:25,109 conference my funding my committee 219 00:11:29,479 --> 00:11:26,669 members who have helped with this 220 00:11:32,419 --> 00:11:29,489 project Eric and Eric and my colleagues 221 00:11:36,669 --> 00:11:32,429 back at UW Madison particularly Xiaomei 222 00:11:39,109 --> 00:11:36,679 hay who without her meta genomic 223 00:11:43,669 --> 00:11:39,119 expertise we would not have been able to 224 00:11:50,450 --> 00:11:43,679 do any of this so with that I think I 225 00:12:01,220 --> 00:11:52,460 so we definitely have time for a couple 226 00:12:03,590 --> 00:12:01,230 of questions Tim yeah yeah I really 227 00:12:06,020 --> 00:12:03,600 enjoy the Yellowstone toxemia yeah 228 00:12:09,680 --> 00:12:06,030 interesting it's a cool area 229 00:12:13,580 --> 00:12:09,690 so what non-model systems do you have in 230 00:12:17,390 --> 00:12:13,590 mind exactly as far as the Ichigo yeah 231 00:12:21,710 --> 00:12:17,400 yeah so again a lot of this credit goes 232 00:12:25,130 --> 00:12:21,720 to Xiaomei and her computer programming 233 00:12:27,950 --> 00:12:25,140 skills but we have scripts that were 234 00:12:31,700 --> 00:12:27,960 able to search our meta genomic 235 00:12:36,320 --> 00:12:31,710 sequences for the Keene binding site 236 00:12:38,480 --> 00:12:36,330 motifs and any genes that have that 237 00:12:41,960 --> 00:12:38,490 appear to be multicam cytochromes we 238 00:12:44,330 --> 00:12:41,970 then look for genes proximal to that 239 00:12:47,450 --> 00:12:44,340 that are predicted to be an outer 240 00:12:48,980 --> 00:12:47,460 membrane pore in so the ones that aren't 241 00:12:52,400 --> 00:12:48,990 homologous to any of the models but 242 00:12:55,000 --> 00:12:52,410 still seem to fit that same type of 243 00:12:59,560 --> 00:12:55,010 system with a pouran and a cytochrome 244 00:13:02,060 --> 00:12:59,570 what about the EPI or GOP ly any 245 00:13:05,660 --> 00:13:02,070 considerations about yeah so that's 246 00:13:08,110 --> 00:13:05,670 something that I've considered and we've 247 00:13:10,250 --> 00:13:08,120 discussed as a lab quite a bit but 248 00:13:13,640 --> 00:13:10,260 something that I I still need to 249 00:13:16,940 --> 00:13:13,650 investigate with these systems yeah 250 00:13:18,830 --> 00:13:16,950 thanks yeah welcome thank you so we 251 00:13:23,490 --> 00:13:18,840 still have time for another question if