1 00:00:09,589 --> 00:00:07,510 throughout history 2 00:00:12,150 --> 00:00:09,599 hydrothermal systems in the natural 3 00:00:16,070 --> 00:00:12,160 world have often surprised scientists 4 00:00:19,189 --> 00:00:16,080 in unprecedented chemistries and biology 5 00:00:21,029 --> 00:00:19,199 for example the discovery and study of 6 00:00:23,189 --> 00:00:21,039 the grand prismatic hot spring 7 00:00:24,070 --> 00:00:23,199 or the lost city alkaline hydrothermal 8 00:00:26,390 --> 00:00:24,080 vents 9 00:00:27,269 --> 00:00:26,400 pushed our understanding of the limits 10 00:00:29,589 --> 00:00:27,279 of life 11 00:00:31,029 --> 00:00:29,599 and reshaped theories on how life may 12 00:00:33,190 --> 00:00:31,039 have emerged 13 00:00:34,709 --> 00:00:33,200 and whether it might exist outside our 14 00:00:36,790 --> 00:00:34,719 planet 15 00:00:38,790 --> 00:00:36,800 this is one reason why hydrothermal 16 00:00:44,389 --> 00:00:38,800 systems are key targets 17 00:00:46,869 --> 00:00:44,399 in the field of master biology much of 18 00:00:49,190 --> 00:00:46,879 our understanding of how life may thrive 19 00:00:50,150 --> 00:00:49,200 outside the ideal conditions in our 20 00:00:51,830 --> 00:00:50,160 planet 21 00:00:55,110 --> 00:00:51,840 comes from our knowledge on the 22 00:00:58,150 --> 00:00:55,120 versatility of microorganisms 23 00:01:00,069 --> 00:00:58,160 as almost all known organisms that exist 24 00:01:03,349 --> 00:01:00,079 at the boundary conditions 25 00:01:09,350 --> 00:01:03,359 or what we may call poly extremophiles 26 00:01:12,950 --> 00:01:12,310 this exclusivity is tied in with the 27 00:01:15,109 --> 00:01:12,960 fact 28 00:01:16,070 --> 00:01:15,119 that some of the microbes that exist 29 00:01:18,550 --> 00:01:16,080 today 30 00:01:19,270 --> 00:01:18,560 actually resemble what early life may 31 00:01:24,149 --> 00:01:19,280 have looked like 32 00:01:26,550 --> 00:01:24,159 and behaved like press the extremophiles 33 00:01:29,670 --> 00:01:26,560 life used to thrive in very different 34 00:01:32,390 --> 00:01:29,680 and much harsher conditions 35 00:01:32,710 --> 00:01:32,400 one example of such microbial present 36 00:01:36,149 --> 00:01:32,720 day 37 00:01:38,390 --> 00:01:36,159 analog are the microaerophilic iron 38 00:01:40,870 --> 00:01:38,400 oxidizers 39 00:01:42,069 --> 00:01:40,880 these are proposed to resemble ancient 40 00:01:44,389 --> 00:01:42,079 microbes 41 00:01:45,990 --> 00:01:44,399 that may have contributed to iron 42 00:01:48,710 --> 00:01:46,000 depositions 43 00:01:50,550 --> 00:01:48,720 in the early earth producing some of the 44 00:01:54,469 --> 00:01:50,560 banded iron formations 45 00:01:57,510 --> 00:01:54,479 observed in the geological record 46 00:01:59,190 --> 00:01:57,520 over the last decade this mechanism of 47 00:02:01,190 --> 00:01:59,200 iron oxidation 48 00:02:02,950 --> 00:02:01,200 and the diversity and distribution of 49 00:02:06,830 --> 00:02:02,960 its microbial agents 50 00:02:09,589 --> 00:02:06,840 have gained much interest in research 51 00:02:10,790 --> 00:02:09,599 historically marine iron oxidizing 52 00:02:13,670 --> 00:02:10,800 bacteria 53 00:02:15,830 --> 00:02:13,680 have first been described in iron-rich 54 00:02:21,350 --> 00:02:15,840 shallow hydrothermal systems 55 00:02:27,430 --> 00:02:24,550 shallow sea hydrothermal vents 56 00:02:29,990 --> 00:02:27,440 are hot spots for microbial taxonomic 57 00:02:32,070 --> 00:02:30,000 and metabolic diversity 58 00:02:33,030 --> 00:02:32,080 they are submerged vents just like the 59 00:02:36,150 --> 00:02:33,040 more popular 60 00:02:37,910 --> 00:02:36,160 deep sea hydrothermal vents but because 61 00:02:41,430 --> 00:02:37,920 of the lower pressure 62 00:02:43,830 --> 00:02:41,440 there's high discharge of gas 63 00:02:45,030 --> 00:02:43,840 this process of gas exsolution or 64 00:02:48,309 --> 00:02:45,040 degassing 65 00:02:51,190 --> 00:02:48,319 often leads to acidic fluids and enhance 66 00:02:54,390 --> 00:02:51,200 leaching of metals such as iron and 67 00:02:58,390 --> 00:02:57,030 this characteristic is true for our 68 00:03:01,750 --> 00:02:58,400 study site 69 00:03:03,190 --> 00:03:01,760 which is a 15 meter deep carbon dioxide 70 00:03:05,509 --> 00:03:03,200 gas rich 71 00:03:08,309 --> 00:03:05,519 shallow hydrothermal vent in mabini 72 00:03:11,509 --> 00:03:08,319 batangas philippines 73 00:03:12,550 --> 00:03:11,519 we observed acidic fluids reaching 74 00:03:16,229 --> 00:03:12,560 temperatures 75 00:03:18,309 --> 00:03:16,239 up to 87.5 degrees celsius 76 00:03:19,750 --> 00:03:18,319 we have also observed high iron 77 00:03:22,470 --> 00:03:19,760 concentrations 78 00:03:23,350 --> 00:03:22,480 and low dissolved oxygen ideal 79 00:03:30,830 --> 00:03:23,360 conditions 80 00:03:35,270 --> 00:03:33,030 oxidation 81 00:03:36,309 --> 00:03:35,280 as extension of our marker gene 82 00:03:39,509 --> 00:03:36,319 sequencing 83 00:03:41,190 --> 00:03:39,519 for the survey of microbial diversity we 84 00:03:43,670 --> 00:03:41,200 used an annotation tool 85 00:03:47,110 --> 00:03:43,680 called fabri-tax or functional 86 00:03:49,430 --> 00:03:47,120 annotation of prokaryotic dexa 87 00:03:50,869 --> 00:03:49,440 this is a diagram produced using 88 00:03:53,830 --> 00:03:50,879 co-inertia analysis 89 00:03:54,550 --> 00:03:53,840 that fits two ordination plots together 90 00:03:56,309 --> 00:03:54,560 to 91 00:03:58,470 --> 00:03:56,319 measure correlation between two 92 00:04:00,710 --> 00:03:58,480 variables 93 00:04:03,429 --> 00:04:00,720 what we essentially see is that the 94 00:04:05,589 --> 00:04:03,439 clustering from the functional profiles 95 00:04:08,470 --> 00:04:05,599 fit well with clustering from 96 00:04:11,110 --> 00:04:08,480 geochemical data 97 00:04:13,589 --> 00:04:11,120 vent specific variables represent the 98 00:04:15,589 --> 00:04:13,599 upper and lower left quadrants 99 00:04:17,670 --> 00:04:15,599 along with functions more commonly 100 00:04:20,870 --> 00:04:17,680 observed in extremophiles 101 00:04:23,990 --> 00:04:20,880 such as methanotrophy methylotrophy 102 00:04:26,550 --> 00:04:24,000 and hydrogen oxidation this 103 00:04:27,749 --> 00:04:26,560 also shows that fibrotax can be an 104 00:04:30,870 --> 00:04:27,759 effective tool 105 00:04:33,189 --> 00:04:30,880 in analyzing sequence data sets together 106 00:04:36,310 --> 00:04:33,199 with geochemistry 107 00:04:37,590 --> 00:04:36,320 albeit it is only based on pure culture 108 00:04:39,990 --> 00:04:37,600 studies 109 00:04:41,990 --> 00:04:40,000 with this limitation in mind we show 110 00:04:47,990 --> 00:04:42,000 here that it can be used for data 111 00:04:51,909 --> 00:04:50,469 following our interest in microbial iron 112 00:04:53,790 --> 00:04:51,919 oxidation 113 00:04:54,950 --> 00:04:53,800 we were able to detect zeta 114 00:04:58,550 --> 00:04:54,960 proteobacteria 115 00:05:00,629 --> 00:04:58,560 in all of our vent samples this novel 116 00:05:03,029 --> 00:05:00,639 class of proteobacteria 117 00:05:03,749 --> 00:05:03,039 that are known for microbial iron 118 00:05:08,390 --> 00:05:03,759 oxidation 119 00:05:12,550 --> 00:05:11,150 to recap we were able to detect zeta 120 00:05:14,710 --> 00:05:12,560 proteobacteria 121 00:05:17,749 --> 00:05:14,720 in the same samples where we've detected 122 00:05:19,909 --> 00:05:17,759 a wide range of predicted metabolism 123 00:05:21,590 --> 00:05:19,919 including those typical in other extreme 124 00:05:23,590 --> 00:05:21,600 environments 125 00:05:26,550 --> 00:05:23,600 we were then curious of the potential 126 00:05:27,029 --> 00:05:26,560 role of zeta proteobacteria in our vet 127 00:05:34,870 --> 00:05:27,039 mats 128 00:05:36,950 --> 00:05:34,880 no cellulose 129 00:05:38,469 --> 00:05:36,960 and scattered individual cells within 130 00:05:42,070 --> 00:05:38,479 the mat matrix 131 00:05:44,150 --> 00:05:42,080 as visualized in our clsm images 132 00:05:45,670 --> 00:05:44,160 this characteristic along with the 133 00:05:47,430 --> 00:05:45,680 filamentous structure 134 00:05:49,749 --> 00:05:47,440 that were not affected by either 135 00:05:52,469 --> 00:05:49,759 cellulose or dna strain 136 00:05:55,270 --> 00:05:52,479 is consisted with microscopic images of 137 00:05:58,430 --> 00:05:55,280 math forming iron oxide stocks 138 00:06:00,390 --> 00:05:58,440 of microbial iron oxidizers like zeta 139 00:06:02,390 --> 00:06:00,400 proteobacteria 140 00:06:04,550 --> 00:06:02,400 these stocks or filaments have been 141 00:06:07,990 --> 00:06:04,560 described to take advantage 142 00:06:13,350 --> 00:06:08,000 of maintained microaerophilic conditions 143 00:06:17,110 --> 00:06:15,430 we also had the opportunity to look 144 00:06:19,749 --> 00:06:17,120 further into our 16s 145 00:06:20,870 --> 00:06:19,759 gene markers against data using zeta 146 00:06:23,430 --> 00:06:20,880 hunter 147 00:06:25,670 --> 00:06:23,440 a tool that allows us to resolve zeta 148 00:06:27,510 --> 00:06:25,680 protobacteria in our samples 149 00:06:29,110 --> 00:06:27,520 to set out to use from a curated 150 00:06:31,670 --> 00:06:29,120 database 151 00:06:32,150 --> 00:06:31,680 from this we detected zeta audios that 152 00:06:34,830 --> 00:06:32,160 match 153 00:06:37,350 --> 00:06:34,840 six previously described data 154 00:06:40,550 --> 00:06:37,360 proteobacterial odus 155 00:06:44,790 --> 00:06:40,560 namely zeta otu 1 3 156 00:06:46,469 --> 00:06:44,800 4 21 36 and 59 157 00:06:48,150 --> 00:06:46,479 two of these have cultural 158 00:06:51,909 --> 00:06:48,160 representatives described 159 00:06:54,469 --> 00:06:51,919 in other studies zeta audio 3 160 00:06:56,390 --> 00:06:54,479 represented by two strains isolated from 161 00:06:59,270 --> 00:06:56,400 low iron sediments 162 00:07:00,830 --> 00:06:59,280 and zeta odu36 represented by the 163 00:07:05,430 --> 00:07:00,840 maripofunda strain 164 00:07:09,589 --> 00:07:05,440 ekf m39 isolated from the luigi 165 00:07:13,990 --> 00:07:12,390 obtaining these data otu abundances also 166 00:07:17,510 --> 00:07:14,000 allowed us to analyze zeta 167 00:07:19,670 --> 00:07:17,520 proteobacteria with our geochemical data 168 00:07:20,870 --> 00:07:19,680 by fitting the ordination of these two 169 00:07:23,189 --> 00:07:20,880 datasets 170 00:07:25,749 --> 00:07:23,199 we see clustering event samples to the 171 00:07:27,749 --> 00:07:25,759 upper and lower left quadrants 172 00:07:29,189 --> 00:07:27,759 represented by both fence specific 173 00:07:32,230 --> 00:07:29,199 variables which is high 174 00:07:35,510 --> 00:07:32,240 iron arsenic and organic carbon 175 00:07:39,350 --> 00:07:37,670 from our data we would like to highlight 176 00:07:43,110 --> 00:07:39,360 the potential for discovering 177 00:07:45,510 --> 00:07:43,120 new zeta proteobacteria taxa moreover 178 00:07:47,589 --> 00:07:45,520 how their abundance strongly coincides 179 00:07:49,909 --> 00:07:47,599 with our geochemical data 180 00:07:51,909 --> 00:07:49,919 might inform future hypotheses on the 181 00:07:53,909 --> 00:07:51,919 drivers of the diversity 182 00:07:55,110 --> 00:07:53,919 distribution and biogeochemical 183 00:07:57,350 --> 00:07:55,120 importance 184 00:07:58,390 --> 00:07:57,360 of microbial iron oxidizers from the 185 00:08:03,909 --> 00:07:58,400 earth's 186 00:08:07,110 --> 00:08:05,830 to share the future direction of our 187 00:08:09,430 --> 00:08:07,120 research 188 00:08:11,029 --> 00:08:09,440 here is some data on fatty acids from 189 00:08:11,990 --> 00:08:11,039 the viable components of our 190 00:08:15,110 --> 00:08:12,000 rust-colored matte 191 00:08:17,749 --> 00:08:15,120 samples the lengths are more typically 192 00:08:20,390 --> 00:08:17,759 observed in bacteria and literature 193 00:08:22,710 --> 00:08:20,400 and a certain compound monounsaturated 194 00:08:24,629 --> 00:08:22,720 20 carbon fatty acid 195 00:08:28,309 --> 00:08:24,639 is more often seen in hydrothermal 196 00:08:30,790 --> 00:08:28,319 microbial streamers than algal mats 197 00:08:33,350 --> 00:08:30,800 few literature data are available in the 198 00:08:34,870 --> 00:08:33,360 fatty acid composition of biogenic iron 199 00:08:38,070 --> 00:08:34,880 oxide mats 200 00:08:40,230 --> 00:08:38,080 and in zeta proteobacteria cultures 201 00:08:43,269 --> 00:08:40,240 we anticipate that our data will be 202 00:08:46,150 --> 00:08:43,279 useful in tandem with our future efforts 203 00:08:48,230 --> 00:08:46,160 in isolating and characterizing iron 204 00:08:53,750 --> 00:08:48,240 oxidizers and other microbes 205 00:08:56,870 --> 00:08:56,150 this presentation is part of a bigger 206 00:08:59,670 --> 00:08:56,880 paper 207 00:09:02,070 --> 00:08:59,680 on the microbiome and biogeochemistry of 208 00:09:03,990 --> 00:09:02,080 the mabini shallow hydrothermal vent 209 00:09:05,509 --> 00:09:04,000 that we have since submitted and is 210 00:09:11,910 --> 00:09:05,519 currently being 211 00:09:16,630 --> 00:09:14,230 this research would not be possible with 212 00:09:19,750 --> 00:09:16,640 the help of the following individuals 213 00:09:21,829 --> 00:09:19,760 and organizations we think planet dive 214 00:09:25,030 --> 00:09:21,839 resort of mabini 215 00:09:26,310 --> 00:09:25,040 for their assistance we also thank jason 216 00:09:28,870 --> 00:09:26,320 valaibo 217 00:09:30,070 --> 00:09:28,880 chica domingo for joining us in sample 218 00:09:32,949 --> 00:09:30,080 and data collection 219 00:09:36,150 --> 00:09:32,959 via scuba diving thermo fisher 220 00:09:39,190 --> 00:09:36,160 scientific and brownson asia's tech for 221 00:09:41,110 --> 00:09:39,200 technical and logistic assistance 222 00:09:43,590 --> 00:09:41,120 and this research was supported by the 223 00:09:45,590 --> 00:09:43,600 department of science and technology 224 00:09:47,990 --> 00:09:45,600 university of the philippines and chad