1 00:00:04,230 --> 00:00:11,230 [Music] 2 00:00:15,829 --> 00:00:13,490 hi everyone so I'll be talking about 3 00:00:18,349 --> 00:00:15,839 Martian metabolism and biotic chlorate 4 00:00:19,189 --> 00:00:18,359 reduction in Mars analog environments on 5 00:00:22,370 --> 00:00:19,199 Earth 6 00:00:23,630 --> 00:00:22,380 so uh since the discovery of let's see 7 00:00:25,429 --> 00:00:23,640 if I can get this video since the 8 00:00:27,769 --> 00:00:25,439 discovery of perchlorate 9 00:00:29,750 --> 00:00:27,779 on Mars by the Phoenix Lander in 2008 10 00:00:31,669 --> 00:00:29,760 it's been a compound of interest on the 11 00:00:34,150 --> 00:00:31,679 red planet this is due to its high 12 00:00:36,950 --> 00:00:34,160 oxidative potential on par with oxygen 13 00:00:40,250 --> 00:00:36,960 which means that it's a potential energy 14 00:00:42,229 --> 00:00:40,260 source for life on the red planet uh on 15 00:00:44,030 --> 00:00:42,239 Mars it's ubiquitous in Martian regolith 16 00:00:45,650 --> 00:00:44,040 reaching concentrations of 0.5 weight 17 00:00:47,389 --> 00:00:45,660 percentage 18 00:00:49,670 --> 00:00:47,399 um on Earth there are microbes that 19 00:00:51,170 --> 00:00:49,680 reduce perchlorate in place of oxygen 20 00:00:52,850 --> 00:00:51,180 and Metabolism using it to drive the 21 00:00:55,670 --> 00:00:52,860 electron transport chain 22 00:00:57,650 --> 00:00:55,680 and perchlorate accumulates in Mars 23 00:00:59,029 --> 00:00:57,660 analog systems on Earth such as the 24 00:01:01,670 --> 00:00:59,039 Atacama Desert where it reaches 25 00:01:03,470 --> 00:01:01,680 concentrations up to 0.18 percent 26 00:01:04,750 --> 00:01:03,480 as well as the Antarctic dry valleys 27 00:01:07,789 --> 00:01:04,760 where it reaches concentrations up to 28 00:01:09,710 --> 00:01:07,799 .0038 these are Mars analog systems that 29 00:01:13,429 --> 00:01:09,720 are incredibly dry and accumulate 30 00:01:16,789 --> 00:01:13,439 perchlorate via atmospheric deposition 31 00:01:19,670 --> 00:01:16,799 um over long time scales and uh 32 00:01:21,710 --> 00:01:19,680 they're likely uh looking at these 33 00:01:23,929 --> 00:01:21,720 systems it seems reasonable that per 34 00:01:25,370 --> 00:01:23,939 reducing microbes might evolve and 35 00:01:28,249 --> 00:01:25,380 persist in these types of environments 36 00:01:30,469 --> 00:01:28,259 however the model organisms that we use 37 00:01:32,510 --> 00:01:30,479 to study biotic perchlorate reduction 38 00:01:36,109 --> 00:01:32,520 don't come from Mars analog environments 39 00:01:39,230 --> 00:01:36,119 they come from the Potomac River in 40 00:01:41,450 --> 00:01:39,240 Washington DC where there's very little 41 00:01:43,490 --> 00:01:41,460 to no natural perchlorate that 42 00:01:47,929 --> 00:01:43,500 accumulates all the pcori that we do 43 00:01:49,490 --> 00:01:47,939 find here is um is waste from Munitions 44 00:01:51,530 --> 00:01:49,500 factories that gets dumped into the 45 00:01:53,870 --> 00:01:51,540 river so how did perchlorate reducing 46 00:01:54,969 --> 00:01:53,880 microbes arrive in this type of 47 00:01:57,649 --> 00:01:54,979 environment 48 00:02:00,530 --> 00:01:57,659 if they likely didn't evolve here due to 49 00:02:02,210 --> 00:02:00,540 the lack of perchloride well we know 50 00:02:03,950 --> 00:02:02,220 that the perchlorate reduction genomic 51 00:02:06,350 --> 00:02:03,960 island is widely spread via horizontal 52 00:02:08,990 --> 00:02:06,360 Gene transfer we know this because when 53 00:02:11,750 --> 00:02:09,000 we look at reducing organisms can you 54 00:02:14,449 --> 00:02:11,760 see my mouse yeah there we go 55 00:02:15,710 --> 00:02:14,459 um the elements required for biotic 56 00:02:17,869 --> 00:02:15,720 report reduction the genes that are 57 00:02:19,790 --> 00:02:17,879 required for court reduction 58 00:02:21,410 --> 00:02:19,800 um share a lot of homology between the 59 00:02:25,070 --> 00:02:21,420 genes but where the genes are situated 60 00:02:26,330 --> 00:02:25,080 in the genome is very diverse depending 61 00:02:30,410 --> 00:02:26,340 on the organism that you're looking at 62 00:02:32,150 --> 00:02:30,420 so it's a very chimeric metabolism so if 63 00:02:33,949 --> 00:02:32,160 we look here the the bright green that's 64 00:02:35,930 --> 00:02:33,959 chloride dismutates and this long dark 65 00:02:36,890 --> 00:02:35,940 green this perchlorate reductase they're 66 00:02:39,010 --> 00:02:36,900 always kind of in different 67 00:02:41,990 --> 00:02:39,020 configurations in relation to each other 68 00:02:43,610 --> 00:02:42,000 in uh in the genomic Island and that's 69 00:02:47,750 --> 00:02:43,620 because these individual elements are 70 00:02:49,670 --> 00:02:47,760 getting passed uh individually and um 71 00:02:52,130 --> 00:02:49,680 independently of one another via 72 00:02:54,770 --> 00:02:52,140 horizontal Gene transfer so you only get 73 00:02:58,190 --> 00:02:54,780 reducing microbes when these elements 74 00:03:00,290 --> 00:02:58,200 come together in the same organism 75 00:03:02,570 --> 00:03:00,300 so my research question was did 76 00:03:03,830 --> 00:03:02,580 canonical biotic reduction arise in 77 00:03:05,930 --> 00:03:03,840 these Mars analog environments like the 78 00:03:07,850 --> 00:03:05,940 atticama desert or Antarctic dry valleys 79 00:03:10,250 --> 00:03:07,860 and then disperse around the world via 80 00:03:12,710 --> 00:03:10,260 acellular and microbial dispersal 81 00:03:14,509 --> 00:03:12,720 so in order to test that I selected 82 00:03:16,790 --> 00:03:14,519 metagenoms from sites around the world 83 00:03:18,589 --> 00:03:16,800 the metagenome for those of you don't 84 00:03:20,270 --> 00:03:18,599 know is basically all the DNA in a 85 00:03:23,630 --> 00:03:20,280 sample it comes in little 86 00:03:25,970 --> 00:03:23,640 20 base pair of chunks and you have to 87 00:03:27,350 --> 00:03:25,980 piece them together like a puzzle and 88 00:03:29,570 --> 00:03:27,360 then pick out the puzzles that you're 89 00:03:31,970 --> 00:03:29,580 interested in uh that maybe make a 90 00:03:33,890 --> 00:03:31,980 picture you're interested in and then uh 91 00:03:35,869 --> 00:03:33,900 and then analyze those independent of 92 00:03:37,850 --> 00:03:35,879 the rest of the metagenome so basically 93 00:03:39,949 --> 00:03:37,860 what I did is I selected metagenoms from 94 00:03:41,930 --> 00:03:39,959 sites around the world I analyzed the 95 00:03:43,910 --> 00:03:41,940 presence of reduction genes so basically 96 00:03:45,949 --> 00:03:43,920 build the little puzzles and then pulled 97 00:03:47,570 --> 00:03:45,959 out the the ones that made reducing 98 00:03:50,390 --> 00:03:47,580 genes and then I calculated the 99 00:03:53,089 --> 00:03:50,400 phylogenetic diversity of those genes at 100 00:03:54,589 --> 00:03:53,099 each site this is a study that has 101 00:03:57,470 --> 00:03:54,599 really up until this point been done 102 00:03:59,990 --> 00:03:57,480 only in humans which is this uh type of 103 00:04:01,850 --> 00:04:00,000 analysis where we look at diversity of a 104 00:04:03,410 --> 00:04:01,860 species or a gene to determine the 105 00:04:05,030 --> 00:04:03,420 likely places where it's persisted the 106 00:04:07,009 --> 00:04:05,040 longest that's how we know that humans 107 00:04:08,270 --> 00:04:07,019 come out of Africa is because most of 108 00:04:10,610 --> 00:04:08,280 our phylogenetic diversity can be 109 00:04:13,850 --> 00:04:10,620 accounted for in Africa 110 00:04:15,170 --> 00:04:13,860 so when I did this uh so this is for 111 00:04:17,390 --> 00:04:15,180 chloride dismutase a gene that's 112 00:04:21,590 --> 00:04:17,400 involved in per quart reduction I found 113 00:04:23,570 --> 00:04:21,600 the highest diversity to be in uh in the 114 00:04:25,909 --> 00:04:23,580 uh Antarctic dry Valley so what we're 115 00:04:27,590 --> 00:04:25,919 seeing here is these bars are are a 116 00:04:29,330 --> 00:04:27,600 scale that's Faith's phylogenetic 117 00:04:31,790 --> 00:04:29,340 diversity zero is basically zero 118 00:04:34,010 --> 00:04:31,800 diversity and then up to 50 would would 119 00:04:35,150 --> 00:04:34,020 be the maximum amount of diversity in 120 00:04:38,330 --> 00:04:35,160 these genes that we see and each of 121 00:04:39,530 --> 00:04:38,340 these blue dots is a separate metagenome 122 00:04:42,350 --> 00:04:39,540 um as you can see there's a little bit 123 00:04:44,570 --> 00:04:42,360 of sampling bias because in the anterior 124 00:04:45,590 --> 00:04:44,580 dry valleys or Atacama Desert we have a 125 00:04:46,850 --> 00:04:45,600 lot more sampling there's a lot more 126 00:04:48,350 --> 00:04:46,860 research that happens in these sites 127 00:04:50,390 --> 00:04:48,360 we've got a lot more metagenomes that I 128 00:04:52,189 --> 00:04:50,400 can analyze whereas if I look at other 129 00:04:54,409 --> 00:04:52,199 Mars analog sites like the Namib Desert 130 00:04:57,409 --> 00:04:54,419 there are quite a few less or in South 131 00:04:58,969 --> 00:04:57,419 Australian desert uh much less access to 132 00:05:01,129 --> 00:04:58,979 that kind of data 133 00:05:02,450 --> 00:05:01,139 when I looked at procore reductase 134 00:05:05,030 --> 00:05:02,460 another Gene involved in biotic 135 00:05:06,830 --> 00:05:05,040 proportion reduction we also see that it 136 00:05:09,230 --> 00:05:06,840 is it reaches highest levels in the 137 00:05:10,490 --> 00:05:09,240 Antarctic dry valleys so that basically 138 00:05:13,010 --> 00:05:10,500 indicates that these genes have 139 00:05:14,870 --> 00:05:13,020 persisted the longest in in these in 140 00:05:16,969 --> 00:05:14,880 this in these in these Mars analog 141 00:05:19,070 --> 00:05:16,979 ecosystems supporting the claim that 142 00:05:20,930 --> 00:05:19,080 these may have evolved and persisted in 143 00:05:23,629 --> 00:05:20,940 those Mars analog systems 144 00:05:25,010 --> 00:05:23,639 so some conclusions uh reduction genes 145 00:05:26,870 --> 00:05:25,020 are present and diverse in Mars analog 146 00:05:28,909 --> 00:05:26,880 systems that's really awesome right 147 00:05:30,710 --> 00:05:28,919 before we didn't even know if they could 148 00:05:32,689 --> 00:05:30,720 persist in Wars analog systems but it 149 00:05:34,550 --> 00:05:32,699 looks like they both evolve and persist 150 00:05:36,110 --> 00:05:34,560 there for long time scales 151 00:05:37,850 --> 00:05:36,120 this metabolism may have evolved in 152 00:05:39,110 --> 00:05:37,860 these environments and then uh prior to 153 00:05:41,629 --> 00:05:39,120 dispersing around the world via 154 00:05:43,189 --> 00:05:41,639 acellular and microbial dispersal and 155 00:05:45,350 --> 00:05:43,199 studying for core reducing organisms in 156 00:05:46,490 --> 00:05:45,360 Mars analog environments can give us 157 00:05:48,650 --> 00:05:46,500 further insight into how life may 158 00:05:50,629 --> 00:05:48,660 persist on the red planet uh when we're 159 00:05:52,189 --> 00:05:50,639 studying life forms that do metabolisms 160 00:05:53,330 --> 00:05:52,199 like what we expect to find on Mars we 161 00:05:54,950 --> 00:05:53,340 shouldn't be looking at organisms that 162 00:05:56,930 --> 00:05:54,960 come out of the Potomac River we should 163 00:06:00,529 --> 00:05:56,940 be looking at at organisms in these Mars 164 00:06:02,930 --> 00:06:00,539 analog systems so I'd like to hear some 165 00:06:04,909 --> 00:06:02,940 some people I'd like to thank so my 166 00:06:06,590 --> 00:06:04,919 funding which is the the NSF grant for 167 00:06:08,930 --> 00:06:06,600 long-term ecological research at McMurdo 168 00:06:10,969 --> 00:06:08,940 Station uh my department at Brigham 169 00:06:13,249 --> 00:06:10,979 Young University as well as the help and 170 00:06:15,170 --> 00:06:13,259 advice of Dr John Coates at UC Berkeley 171 00:06:16,790 --> 00:06:15,180 Dr Kendall Kendall Lynch at the lunar 172 00:06:21,750 --> 00:06:16,800 and planetary Institute and Dr Jennifer 173 00:06:35,990 --> 00:06:25,300 [Music]