1 00:00:10,690 --> 00:00:08,440 okay so today I'm going to tell you a 2 00:00:13,360 --> 00:00:10,700 little bit about it phylogenetic that 3 00:00:15,160 --> 00:00:13,370 diversity that is preserved in something 4 00:00:17,560 --> 00:00:15,170 we call it travertine that maybe not all 5 00:00:20,920 --> 00:00:17,570 of you have heard of in how white that 6 00:00:22,870 --> 00:00:20,930 is important okay so test I already 7 00:00:24,550 --> 00:00:22,880 talked a whole lot about a stream of all 8 00:00:27,400 --> 00:00:24,560 so I don't naturally have to go through 9 00:00:29,560 --> 00:00:27,410 this so we already know their organisms 10 00:00:31,810 --> 00:00:29,570 that are capable of living in extreme 11 00:00:35,530 --> 00:00:31,820 environments and this could be a strange 12 00:00:37,930 --> 00:00:35,540 of temperature pH so in other conditions 13 00:00:40,390 --> 00:00:37,940 in the extreme environment that I'm 14 00:00:42,280 --> 00:00:40,400 interested in is the environments of hot 15 00:00:45,850 --> 00:00:42,290 springs sorry hot environments 16 00:00:48,490 --> 00:00:45,860 especially hot springs and this picture 17 00:00:52,090 --> 00:00:48,500 has already we've seen that number of 18 00:00:54,970 --> 00:00:52,100 times today so obviously once you think 19 00:00:57,460 --> 00:00:54,980 about hot springs or hot environments 20 00:00:59,770 --> 00:00:57,470 naturally what comes to mind is the 21 00:01:02,290 --> 00:00:59,780 early Earth and then you think about it 22 00:01:04,299 --> 00:01:02,300 um organisms that are able to live in 23 00:01:06,700 --> 00:01:04,309 this kind of hot springs are probably 24 00:01:08,679 --> 00:01:06,710 good candidates or really the best 25 00:01:12,489 --> 00:01:08,689 candidates for life on early Earth and 26 00:01:14,649 --> 00:01:12,499 probably other planets so we still have 27 00:01:16,539 --> 00:01:14,659 these thermal environments on earth 28 00:01:19,749 --> 00:01:16,549 currently and you can think of hot 29 00:01:21,700 --> 00:01:19,759 springs hydrothermal vents or black 30 00:01:24,190 --> 00:01:21,710 smokers and all those other hot 31 00:01:25,660 --> 00:01:24,200 environments so the hot springs that I'm 32 00:01:29,109 --> 00:01:25,670 interested in there are two of them 33 00:01:30,730 --> 00:01:29,119 which are really pretty in nature's 34 00:01:32,469 --> 00:01:30,740 talked about Yellowstone so i don't have 35 00:01:35,199 --> 00:01:32,479 to initially talked about those so this 36 00:01:37,239 --> 00:01:35,209 is mammoth hot springs in hot spring we 37 00:01:39,340 --> 00:01:37,249 have we have a lot of guises hot springs 38 00:01:41,349 --> 00:01:39,350 and all sorts of things and most of the 39 00:01:47,050 --> 00:01:41,359 hot springs actually precipitate calcite 40 00:01:48,910 --> 00:01:47,060 um silicates but the moment sorry the 41 00:01:50,440 --> 00:01:48,920 mammoth hot springs are the only springs 42 00:01:53,730 --> 00:01:50,450 are actually preceded what we call 43 00:01:56,260 --> 00:01:53,740 calcium carbonate so these um 44 00:01:58,590 --> 00:01:56,270 territorial Hot Springs they have the 45 00:02:01,539 --> 00:01:58,600 elect mo environments they have 46 00:02:03,190 --> 00:02:01,549 geothermal waters that erupts and when 47 00:02:05,289 --> 00:02:03,200 they do they cool in the during the 48 00:02:07,719 --> 00:02:05,299 process of cooling they lose some carbon 49 00:02:10,359 --> 00:02:07,729 dioxide and they are able to precipitate 50 00:02:12,570 --> 00:02:10,369 calcium carbonate in microbes also be 51 00:02:15,190 --> 00:02:12,580 implicated in the precipitation of this 52 00:02:17,740 --> 00:02:15,200 calcium carbonate during photosynthesis 53 00:02:18,830 --> 00:02:17,750 so think about sino bacteria as it 54 00:02:20,960 --> 00:02:18,840 photosynthesis 55 00:02:23,119 --> 00:02:20,970 it removes all the cost of carbon 56 00:02:26,119 --> 00:02:23,129 dioxide that is present in the water and 57 00:02:29,690 --> 00:02:26,129 that can also lead to the precipitation 58 00:02:32,360 --> 00:02:29,700 of this cause calcium carbonates and 59 00:02:34,160 --> 00:02:32,370 these we call travertine and this is so 60 00:02:36,470 --> 00:02:34,170 rapid that you can actually stay there 61 00:02:38,509 --> 00:02:36,480 and watch them as they precipitate so 62 00:02:40,009 --> 00:02:38,519 what we think is that as this are 63 00:02:44,259 --> 00:02:40,019 precipitating it because it's really 64 00:02:47,479 --> 00:02:44,269 rapid you can have them basically 65 00:02:50,570 --> 00:02:47,489 trapped in and tell microbes as they do 66 00:02:52,880 --> 00:02:50,580 that and the good thing about those hot 67 00:02:57,740 --> 00:02:52,890 springs are that three time they 68 00:02:59,240 --> 00:02:57,750 actually are able to basically collect 69 00:03:01,309 --> 00:02:59,250 information at a time of your 70 00:03:02,750 --> 00:03:01,319 presentation so through time you can be 71 00:03:04,819 --> 00:03:02,760 able to study this and think about the 72 00:03:07,280 --> 00:03:04,829 climate the Paleo climate at a time of 73 00:03:09,110 --> 00:03:07,290 formation the microbial life in the 74 00:03:11,509 --> 00:03:09,120 hydrology I design presentation as well 75 00:03:13,460 --> 00:03:11,519 so my Hot Springs that I looked at at 76 00:03:15,140 --> 00:03:13,470 two of them and these are the largest 77 00:03:17,720 --> 00:03:15,150 travertine precipitating hot springs in 78 00:03:23,720 --> 00:03:17,730 the world from 13 and also from 79 00:03:27,259 --> 00:03:23,730 Yellowstone so a lot of work has already 80 00:03:29,599 --> 00:03:27,269 been done using travertine but mainly 81 00:03:31,699 --> 00:03:29,609 people have looked at what is in the 82 00:03:33,710 --> 00:03:31,709 water and also a lot of work has also 83 00:03:35,690 --> 00:03:33,720 been done on the rocks itself but 84 00:03:37,789 --> 00:03:35,700 looking at the rocks is what most people 85 00:03:40,960 --> 00:03:37,799 have only looked at physical biomarkers 86 00:03:44,140 --> 00:03:40,970 basically clear fossils and also like 87 00:03:47,210 --> 00:03:44,150 crystals that are present in these 88 00:03:48,589 --> 00:03:47,220 travertine samples so these are all good 89 00:03:51,890 --> 00:03:48,599 so the i'll just show you a few examples 90 00:03:54,349 --> 00:03:51,900 of what have being done so this work was 91 00:03:57,199 --> 00:03:54,359 done by allen in two thousand whether we 92 00:03:59,659 --> 00:03:57,209 china look at the position is that he 93 00:04:01,400 --> 00:03:59,669 can study on earth for astrobiology like 94 00:04:02,839 --> 00:04:01,410 where they go there what they can 95 00:04:04,759 --> 00:04:02,849 actually look out for so these are 96 00:04:07,339 --> 00:04:04,769 filaments that you can see is standing 97 00:04:09,770 --> 00:04:07,349 from pits of weathered calcite crystals 98 00:04:11,659 --> 00:04:09,780 and these are change of microbes that 99 00:04:15,349 --> 00:04:11,669 have been replaced by slick as spheres 100 00:04:17,390 --> 00:04:15,359 and these are also microbial forms they 101 00:04:19,400 --> 00:04:17,400 can see on calcite so this is all great 102 00:04:22,360 --> 00:04:19,410 you can see fossils in all those 103 00:04:24,980 --> 00:04:22,370 crystals when you look into the the 104 00:04:27,200 --> 00:04:24,990 double-slit the records but the problem 105 00:04:28,430 --> 00:04:27,210 then is it's not always that you can be 106 00:04:31,790 --> 00:04:28,440 sure that these are actually for 107 00:04:32,439 --> 00:04:31,800 microbial origins and the first thing 108 00:04:34,299 --> 00:04:32,449 that comes in 109 00:04:38,019 --> 00:04:34,309 if you all have heard of this video 110 00:04:40,929 --> 00:04:38,029 right alh84001 where there is all that 111 00:04:42,939 --> 00:04:40,939 create controversy about whether it is 112 00:04:44,920 --> 00:04:42,949 actually from a biological source or not 113 00:04:47,170 --> 00:04:44,930 so then is not good that we can use the 114 00:04:48,519 --> 00:04:47,180 fossils but can we really be sure that 115 00:04:51,760 --> 00:04:48,529 these actually up from biological 116 00:04:54,879 --> 00:04:51,770 sources not really so the golden of my 117 00:04:57,309 --> 00:04:54,889 study was to be able to go in and try to 118 00:05:00,189 --> 00:04:57,319 think of other sorts of biomarkers that 119 00:05:01,540 --> 00:05:00,199 we can use instead of fiscal biomarkers 120 00:05:04,089 --> 00:05:01,550 to see if we can actually be able to 121 00:05:06,929 --> 00:05:04,099 check these deficits back in time and 122 00:05:09,760 --> 00:05:06,939 look at what was present in them so 123 00:05:12,790 --> 00:05:09,770 that's the basic very Marquez avocado 124 00:05:14,409 --> 00:05:12,800 first was DNA which doesn't it's not 125 00:05:16,179 --> 00:05:14,419 long leaf so obviously we can go back 126 00:05:17,980 --> 00:05:16,189 into the billions of years so we tried 127 00:05:20,529 --> 00:05:17,990 to go back to at least a million year 128 00:05:22,989 --> 00:05:20,539 old deficit and see how far we can go 129 00:05:24,879 --> 00:05:22,999 inside and then also another option 130 00:05:26,110 --> 00:05:24,889 would be to the caliphates so this work 131 00:05:29,110 --> 00:05:26,120 is going to just look at what I did 132 00:05:31,629 --> 00:05:29,120 looking at DNA by Marcus so basically we 133 00:05:33,670 --> 00:05:31,639 have we hypothesized that microbial DNA 134 00:05:36,070 --> 00:05:33,680 can be stored or preserved in those 135 00:05:38,170 --> 00:05:36,080 deposits and three time we can be able 136 00:05:39,969 --> 00:05:38,180 to use them to reconstruct the 137 00:05:42,129 --> 00:05:39,979 phylogenetic and metabolic activities 138 00:05:46,029 --> 00:05:42,139 that were at the time of the formation 139 00:05:48,489 --> 00:05:46,039 of this deposits so basically to the two 140 00:05:50,589 --> 00:05:48,499 basic questions at what what can we find 141 00:05:53,050 --> 00:05:50,599 in there in how did they change of a 142 00:05:55,089 --> 00:05:53,060 geological time and also what are the 143 00:05:57,149 --> 00:05:55,099 metabolic potentials that are preserved 144 00:06:00,639 --> 00:05:57,159 or they had at the time of his 145 00:06:02,739 --> 00:06:00,649 precipitation so to do this one of the 146 00:06:04,989 --> 00:06:02,749 most important work becomes to mind or 147 00:06:07,209 --> 00:06:04,999 that helps me is this concept of 148 00:06:09,699 --> 00:06:07,219 trafficking the positional fascias that 149 00:06:12,939 --> 00:06:09,709 was established like my advisor in two 150 00:06:15,129 --> 00:06:12,949 thousand he basically look at the the 151 00:06:16,719 --> 00:06:15,139 foot path of destruction deficits and he 152 00:06:19,929 --> 00:06:16,729 was able to establish that there's 153 00:06:22,149 --> 00:06:19,939 actually come in five therefore self the 154 00:06:23,769 --> 00:06:22,159 positional fascias from the vent fishes 155 00:06:26,050 --> 00:06:23,779 all the way to the proximal slope and 156 00:06:27,790 --> 00:06:26,060 basically moving from one patients to 157 00:06:30,429 --> 00:06:27,800 the other you have differential 158 00:06:33,639 --> 00:06:30,439 chemistry different fabrics in different 159 00:06:36,129 --> 00:06:33,649 but microbial communities that are 160 00:06:38,379 --> 00:06:36,139 preserved and how why is this important 161 00:06:40,449 --> 00:06:38,389 because basically going back in time you 162 00:06:42,369 --> 00:06:40,459 can be able to track those fabrics and 163 00:06:43,929 --> 00:06:42,379 what they look like so then if you have 164 00:06:45,850 --> 00:06:43,939 a modern trafficking sample that is like 165 00:06:47,589 --> 00:06:45,860 a ten-year-old travertine 166 00:06:49,209 --> 00:06:47,599 track it all the way back like a million 167 00:06:51,779 --> 00:06:49,219 travertine sample and be sure that 168 00:06:54,640 --> 00:06:51,789 they're from the same the same from a 169 00:06:56,140 --> 00:06:54,650 spacious and once you have the modern 170 00:06:57,490 --> 00:06:56,150 sample you know where you can find it a 171 00:06:59,439 --> 00:06:57,500 modern sample you should be able to 172 00:07:00,730 --> 00:06:59,449 basically see the same thing because 173 00:07:02,830 --> 00:07:00,740 it's the same conditions under which 174 00:07:05,110 --> 00:07:02,840 they were formed so then that gives you 175 00:07:10,839 --> 00:07:05,120 like a starting point for you to be able 176 00:07:14,350 --> 00:07:10,849 to move on okay so I went looking at 177 00:07:16,839 --> 00:07:14,360 five of samples one with an active 178 00:07:19,600 --> 00:07:16,849 sample that with water in a little bit 179 00:07:22,059 --> 00:07:19,610 of traveling travertine itself attorney 180 00:07:24,159 --> 00:07:22,069 also improved 4,000 year old thirty 181 00:07:25,749 --> 00:07:24,169 thousand year old in a 1 million year 182 00:07:27,700 --> 00:07:25,759 old so the one building your old one is 183 00:07:31,029 --> 00:07:27,710 from check mark and the Rays are all 184 00:07:32,679 --> 00:07:31,039 from Yellowstone so basically the 185 00:07:34,779 --> 00:07:32,689 problem that comes we had to work with 186 00:07:36,999 --> 00:07:34,789 inch and samples is a huge problem with 187 00:07:39,399 --> 00:07:37,009 contamination so there's a friend first 188 00:07:41,439 --> 00:07:39,409 one that we have is the dye generating 189 00:07:43,390 --> 00:07:41,449 alteration which we basically can do 190 00:07:44,709 --> 00:07:43,400 anything about it's basically everything 191 00:07:46,149 --> 00:07:44,719 that happens to their walk after is 192 00:07:48,219 --> 00:07:46,159 deposited so there's water rock 193 00:07:49,779 --> 00:07:48,229 interaction that's what I bring it in my 194 00:07:51,760 --> 00:07:49,789 crews from the environment and you can 195 00:07:54,219 --> 00:07:51,770 really change that okay and then the 196 00:07:57,249 --> 00:07:54,229 next the ones that we can actually bring 197 00:07:59,110 --> 00:07:57,259 in our drinks fill sampling so you want 198 00:08:01,240 --> 00:07:59,120 to do all the sampling under sterile 199 00:08:03,100 --> 00:08:01,250 conditions in also doing your 200 00:08:04,990 --> 00:08:03,110 instruction you have to do this in a 201 00:08:07,390 --> 00:08:05,000 clean room so all of the work that I did 202 00:08:09,610 --> 00:08:07,400 what was done in the clean room in I 203 00:08:11,800 --> 00:08:09,620 have to well really fancy suit and it's 204 00:08:13,269 --> 00:08:11,810 not fun when you are downstairs and hear 205 00:08:14,499 --> 00:08:13,279 the fire alarm go off and have to get 206 00:08:17,800 --> 00:08:14,509 out of this and try to get out of the 207 00:08:19,719 --> 00:08:17,810 building though I did all of that so 208 00:08:21,700 --> 00:08:19,729 most of my way currently was done under 209 00:08:24,730 --> 00:08:21,710 bull crook so basically I take the work 210 00:08:28,659 --> 00:08:24,740 and I crush it and I try to get a DNA 211 00:08:31,089 --> 00:08:28,669 out of those so what I got was basically 212 00:08:33,100 --> 00:08:31,099 a rapid decline in the amount or the 213 00:08:36,329 --> 00:08:33,110 concentration of DNA which is not 214 00:08:38,469 --> 00:08:36,339 surprising because basically active or 215 00:08:41,170 --> 00:08:38,479 active tissues able to repair 216 00:08:43,600 --> 00:08:41,180 efficiently their DNA but if you are 217 00:08:45,819 --> 00:08:43,610 inactive you basically build up a lot a 218 00:08:48,040 --> 00:08:45,829 bit of a lot of damage so over time you 219 00:08:49,870 --> 00:08:48,050 lose a lot and those was also done by 220 00:08:52,030 --> 00:08:49,880 willis live and they look up about four 221 00:08:55,360 --> 00:08:52,040 examples of different ages and they got 222 00:08:57,490 --> 00:08:55,370 exactly the same thing so i'll just show 223 00:08:59,180 --> 00:08:57,500 you basically what i'm trying to let you 224 00:09:01,910 --> 00:08:59,190 know i'll show you here is 225 00:09:03,260 --> 00:09:01,920 this is the active sample this is the 226 00:09:05,330 --> 00:09:03,270 modern sample and these are the ancient 227 00:09:07,960 --> 00:09:05,340 samples and one thing you see is the 228 00:09:10,220 --> 00:09:07,970 difference and what is dominating and 229 00:09:12,620 --> 00:09:10,230 quickly I just went out that the modern 230 00:09:14,900 --> 00:09:12,630 sample was dominated dominated mostly by 231 00:09:18,640 --> 00:09:14,910 proteobacteria and a little bit of sign 232 00:09:21,380 --> 00:09:18,650 of bacteria and then the active spring 233 00:09:23,330 --> 00:09:21,390 the modern spraying a modern struggling 234 00:09:25,910 --> 00:09:23,340 samples mostly by cyanobacteria which is 235 00:09:27,920 --> 00:09:25,920 what you respect from a hot spring but 236 00:09:29,810 --> 00:09:27,930 the interesting thing is shifting to the 237 00:09:31,730 --> 00:09:29,820 ancient samples it was all merely 238 00:09:33,860 --> 00:09:31,740 Firmicutes which is also not too 239 00:09:35,720 --> 00:09:33,870 surprising because most of the works 240 00:09:37,760 --> 00:09:35,730 that have been done looking at malkova 241 00:09:39,560 --> 00:09:37,770 communities through time you have a lot 242 00:09:42,170 --> 00:09:39,570 of friendly hoods dominating with 243 00:09:46,130 --> 00:09:42,180 ancient samples basically because these 244 00:09:47,960 --> 00:09:46,140 are really sport for main microbes and 245 00:09:49,760 --> 00:09:47,970 be able to withstand all the harsh 246 00:09:51,410 --> 00:09:49,770 conditions that you find in their 247 00:09:53,330 --> 00:09:51,420 environment three times so relatively 248 00:09:57,800 --> 00:09:53,340 they able you're able to preserve those 249 00:09:59,690 --> 00:09:57,810 over time so this is a principal 250 00:10:01,390 --> 00:09:59,700 component analysis that showing that 251 00:10:04,670 --> 00:10:01,400 shows basically that the main difference 252 00:10:07,130 --> 00:10:04,680 that we see in these communities is 253 00:10:08,690 --> 00:10:07,140 mainly due to the age of the of these 254 00:10:09,980 --> 00:10:08,700 samples and not because of where they 255 00:10:11,480 --> 00:10:09,990 are from so basically the Jewish 256 00:10:13,670 --> 00:10:11,490 collocations don't really are 257 00:10:16,070 --> 00:10:13,680 complications on matter it is the age of 258 00:10:17,360 --> 00:10:16,080 the samples don't matter so the quick 259 00:10:19,310 --> 00:10:17,370 sample is basically all gonna have 260 00:10:20,690 --> 00:10:19,320 thought about so moving on that's just 261 00:10:23,450 --> 00:10:20,700 the phylum level that's like really 262 00:10:25,880 --> 00:10:23,460 really huge you don't really see much or 263 00:10:27,860 --> 00:10:25,890 you can really pinpoint a lot of things 264 00:10:29,690 --> 00:10:27,870 so what I did from there was to look at 265 00:10:32,770 --> 00:10:29,700 family level diversity so I went into 266 00:10:36,130 --> 00:10:32,780 all their samples and look at what the 267 00:10:38,780 --> 00:10:36,140 different families that I represented in 268 00:10:41,150 --> 00:10:38,790 with that I went into the literature to 269 00:10:42,740 --> 00:10:41,160 see what organisms are present in those 270 00:10:44,660 --> 00:10:42,750 families and what they are known to do 271 00:10:47,090 --> 00:10:44,670 so then I came up with this thing we 272 00:10:49,520 --> 00:10:47,100 call physio types basically Chinese tell 273 00:10:51,500 --> 00:10:49,530 you what they are known to do so these 274 00:10:54,940 --> 00:10:51,510 are like metabolic metabolic potentials 275 00:10:57,050 --> 00:10:54,950 and because we didn't actually do um 276 00:10:58,760 --> 00:10:57,060 metagenomics to look at the functional 277 00:11:00,140 --> 00:10:58,770 genes or anything we can specifically 278 00:11:02,840 --> 00:11:00,150 say this is what they do by these are 279 00:11:05,150 --> 00:11:02,850 potentials of what they can they could 280 00:11:09,060 --> 00:11:05,160 they should be able to do so basically 281 00:11:15,150 --> 00:11:11,610 it shows just what we got from the file 282 00:11:17,490 --> 00:11:15,160 a phylum level diversity basically the 283 00:11:21,900 --> 00:11:17,500 end of the active sample is slightly 284 00:11:24,930 --> 00:11:21,910 different mainly you have a lot of Kim 285 00:11:27,000 --> 00:11:24,940 aleesha traffic activity going on the 286 00:11:29,310 --> 00:11:27,010 active spring the modern screen has a 287 00:11:31,140 --> 00:11:29,320 lot of oxygen leak for the trucks and 288 00:11:32,580 --> 00:11:31,150 non oxygen for those trucks because of 289 00:11:35,340 --> 00:11:32,590 the sound of bacterial community that we 290 00:11:38,040 --> 00:11:35,350 have and all the ancient sample as we 291 00:11:40,230 --> 00:11:38,050 saw before also merely they are all key 292 00:11:42,420 --> 00:11:40,240 morgana troughs mostly dominating that 293 00:11:44,190 --> 00:11:42,430 so basically the good thing about this 294 00:11:45,510 --> 00:11:44,200 weekend really I can hundred percent say 295 00:11:47,370 --> 00:11:45,520 that the communities that I have seen in 296 00:11:49,590 --> 00:11:47,380 this ancient samples are the ancient 297 00:11:51,390 --> 00:11:49,600 communities at the point of formation 298 00:11:52,980 --> 00:11:51,400 but the good thing here is that there 299 00:11:54,720 --> 00:11:52,990 are subsets of the modern samples 300 00:11:56,400 --> 00:11:54,730 everything you see in the ancient 301 00:11:58,140 --> 00:11:56,410 samples are basically present in the 302 00:12:01,770 --> 00:11:58,150 morning samples and since we go through 303 00:12:03,420 --> 00:12:01,780 back with the fishes a model we are 304 00:12:06,420 --> 00:12:03,430 going to show that this is what we have 305 00:12:09,900 --> 00:12:06,430 seen so moving forward you're basically 306 00:12:11,790 --> 00:12:09,910 trying to do make the in sections and 307 00:12:14,010 --> 00:12:11,800 try to do what we call fluid inclusions 308 00:12:16,050 --> 00:12:14,020 going to dissolute inclusions and eat 309 00:12:17,460 --> 00:12:16,060 their primary fluid inclusions we be 310 00:12:20,880 --> 00:12:17,470 able to tell that this was what was 311 00:12:22,320 --> 00:12:20,890 present at a time of formation when at 312 00:12:25,230 --> 00:12:22,330 the time of precipitation of this 313 00:12:26,730 --> 00:12:25,240 deficits so yeah this of course a 314 00:12:29,220 --> 00:12:26,740 million-year-old is nothing compared to 315 00:12:31,590 --> 00:12:29,230 4.5 3.5 billion year old show otherwise 316 00:12:33,420 --> 00:12:31,600 but moving forward if you're able to go 317 00:12:40,530 --> 00:12:33,430 back in time this is as much as I've 318 00:12:59,050 --> 00:12:42,579 all right I have time for a few 319 00:13:03,519 --> 00:12:59,060 questions do we find travertine anywhere 320 00:13:05,769 --> 00:13:03,529 in the solar system um very um I think 321 00:13:08,530 --> 00:13:05,779 on Mars actually there's like two firs 322 00:13:11,470 --> 00:13:08,540 and strawberries that cause is that this 323 00:13:12,699 --> 00:13:11,480 is basically a carbonate deposits so if 324 00:13:14,350 --> 00:13:12,709 you have carbonate deposits so the 325 00:13:16,030 --> 00:13:14,360 difference people think the difference 326 00:13:18,370 --> 00:13:16,040 between two fire and travertine is just 327 00:13:19,960 --> 00:13:18,380 the temperature difference I believe 328 00:13:22,480 --> 00:13:19,970 it's for my low temperatures people 329 00:13:25,389 --> 00:13:22,490 think it's travatan but i have seen one 330 00:13:27,009 --> 00:13:25,399 crystal geyser in color or something and 331 00:13:30,100 --> 00:13:27,019 it looks exactly like Yellowstone even 332 00:13:35,230 --> 00:13:30,110 though it's au yeung window it's a low 333 00:13:46,660 --> 00:13:35,240 temperature thank you any other 334 00:13:48,970 --> 00:13:46,670 questions ok um see here um I guess we