1 00:00:10,480 --> 00:00:08,500 hello everyone and good morning I'm 2 00:00:12,549 --> 00:00:10,490 Abigail Karen and I'm going to be 3 00:00:14,709 --> 00:00:12,559 presenting some work I did with David 4 00:00:17,560 --> 00:00:14,719 gold Greg fornia and Roger summons 5 00:00:19,540 --> 00:00:17,570 entitled molecular data suggests sterile 6 00:00:22,060 --> 00:00:19,550 biosynthesis evolved around the great 7 00:00:23,170 --> 00:00:22,070 oxidation event and first I'm going to 8 00:00:24,640 --> 00:00:23,180 give you some backgrounds you can 9 00:00:27,370 --> 00:00:24,650 understand why you should care about 10 00:00:30,490 --> 00:00:27,380 this first thing you need to know is 11 00:00:33,270 --> 00:00:30,500 what is a sterile sterols are some lipid 12 00:00:36,100 --> 00:00:33,280 molecules they're organic they have 13 00:00:38,170 --> 00:00:36,110 these four rings and a sidechain group 14 00:00:40,930 --> 00:00:38,180 that varies depending on what specific 15 00:00:43,959 --> 00:00:40,940 sterile it is this one here ergosterol 16 00:00:47,020 --> 00:00:43,969 is a component of the cell membrane and 17 00:00:51,850 --> 00:00:47,030 fungi sterile you might know is 18 00:00:53,799 --> 00:00:51,860 cholesterol oftenly talked about sterols 19 00:00:55,990 --> 00:00:53,809 in general are created by most eukaryote 20 00:00:59,529 --> 00:00:56,000 lineages and only a very small number of 21 00:01:02,610 --> 00:00:59,539 bacteria as such they're indicative 22 00:01:05,830 --> 00:01:02,620 usually of presence of eukaryotes 23 00:01:08,620 --> 00:01:05,840 furthermore sterols require oxygen to be 24 00:01:10,870 --> 00:01:08,630 synthesized in this first step and also 25 00:01:13,210 --> 00:01:10,880 further downstream depending on what 26 00:01:16,230 --> 00:01:13,220 specific sterile they're going to end up 27 00:01:19,179 --> 00:01:16,240 making so the presence of sterols is 28 00:01:22,149 --> 00:01:19,189 indicative of aerobic metabolism because 29 00:01:23,950 --> 00:01:22,159 it requires oxygen and of eukaryotes so 30 00:01:26,740 --> 00:01:23,960 trying to date when sterile synthesis 31 00:01:29,370 --> 00:01:26,750 first evolved is an interesting has an 32 00:01:33,010 --> 00:01:29,380 interesting implications for early life 33 00:01:35,080 --> 00:01:33,020 so trying to date it so far people can 34 00:01:37,510 --> 00:01:35,090 look at sterols in the rock record their 35 00:01:39,429 --> 00:01:37,520 preserved as staring keeping their 36 00:01:42,429 --> 00:01:39,439 carbon backbone but losing key details 37 00:01:44,830 --> 00:01:42,439 like functional groups however the 38 00:01:48,160 --> 00:01:44,840 record is currently controversial back 39 00:01:50,770 --> 00:01:48,170 in 1999 sterols were reported at 2.7 and 40 00:01:53,080 --> 00:01:50,780 sorry 2.7 billion year old rocks in 41 00:01:54,639 --> 00:01:53,090 australia which was super interesting 42 00:01:57,310 --> 00:01:54,649 because as you might know the great 43 00:01:59,830 --> 00:01:57,320 oxidation event didn't occur until 2.4 44 00:02:03,370 --> 00:01:59,840 billion years ago and that's the first 45 00:02:06,069 --> 00:02:03,380 accumulation of molecular oxygen in the 46 00:02:08,139 --> 00:02:06,079 atmosphere so having me is earlier than 47 00:02:10,330 --> 00:02:08,149 the great oxidation event was a big deal 48 00:02:12,610 --> 00:02:10,340 because oxidative metabolism before we 49 00:02:14,949 --> 00:02:12,620 have appreciable oxygen however that was 50 00:02:17,540 --> 00:02:14,959 recently in the last few years refuted 51 00:02:19,910 --> 00:02:17,550 those rocks don't actually have stair 52 00:02:22,250 --> 00:02:19,920 is preserved in them and the next 53 00:02:24,110 --> 00:02:22,260 closest ones that were sure of in the 54 00:02:28,670 --> 00:02:24,120 rock record are at one point six for 55 00:02:31,340 --> 00:02:28,680 simple 23 to 24 carbon cells and 800 56 00:02:33,560 --> 00:02:31,350 million years ago for complex steering's 57 00:02:35,420 --> 00:02:33,570 with 26 to 30 carbons which are 58 00:02:38,890 --> 00:02:35,430 generally the ones that all modern 59 00:02:41,630 --> 00:02:38,900 eukaryotes create so there's some debate 60 00:02:43,190 --> 00:02:41,640 as to when this pathway evolved and 61 00:02:45,560 --> 00:02:43,200 looking at the rock record isn't 62 00:02:47,540 --> 00:02:45,570 currently helping so we decided to take 63 00:02:49,900 --> 00:02:47,550 an alternative approach and look at the 64 00:02:53,300 --> 00:02:49,910 genes of modern organisms to try and 65 00:02:55,100 --> 00:02:53,310 figure out when this approach when this 66 00:02:57,410 --> 00:02:55,110 adds we evolved just from the genetic 67 00:02:59,990 --> 00:02:57,420 record as such the first thing we had to 68 00:03:02,540 --> 00:03:00,000 do was pick two genes to study and we 69 00:03:05,240 --> 00:03:02,550 decided to pick the first two genes in 70 00:03:06,980 --> 00:03:05,250 the sterile synthesis pathway simply 71 00:03:09,200 --> 00:03:06,990 because these are conserved across all 72 00:03:11,600 --> 00:03:09,210 sterile synthesis pathways and some of 73 00:03:13,340 --> 00:03:11,610 the later genes are not on the first 74 00:03:15,170 --> 00:03:13,350 that I'm going to be talking about as 75 00:03:17,450 --> 00:03:15,180 squalene monooxygenase that converts 76 00:03:18,710 --> 00:03:17,460 squalene to squalene epoxide and the 77 00:03:21,500 --> 00:03:18,720 second gene I'll be talking about is 78 00:03:23,900 --> 00:03:21,510 oxido salt squalene cyclase which turns 79 00:03:28,670 --> 00:03:23,910 this epoxide into a proto sterile such 80 00:03:31,400 --> 00:03:28,680 as cyclo ordinal and now I'm going to 81 00:03:34,010 --> 00:03:31,410 briefly and quickly go through molecular 82 00:03:35,720 --> 00:03:34,020 clocks and how they work just because 83 00:03:37,760 --> 00:03:35,730 I'm not sure how familiar you guys are 84 00:03:40,160 --> 00:03:37,770 with them so the first thing we do is we 85 00:03:44,060 --> 00:03:40,170 acquire amino acid sequences from modern 86 00:03:46,100 --> 00:03:44,070 organisms a whole bunch of them and we 87 00:03:47,960 --> 00:03:46,110 run them through a program that deals 88 00:03:50,030 --> 00:03:47,970 with like insertions and deletions and 89 00:03:52,460 --> 00:03:50,040 make sure that similar parts are lined 90 00:03:55,370 --> 00:03:52,470 up for each gene just so that they're 91 00:03:57,050 --> 00:03:55,380 comparable we run that through some 92 00:03:59,780 --> 00:03:57,060 other programs to create phylogenetic 93 00:04:02,030 --> 00:03:59,790 trees using asian or maximum likelihood 94 00:04:04,490 --> 00:04:02,040 methods and the trees that are produced 95 00:04:06,560 --> 00:04:04,500 have similar sequences close together 96 00:04:08,570 --> 00:04:06,570 and very different sequences just 97 00:04:10,940 --> 00:04:08,580 further apart in the tree with longer 98 00:04:12,949 --> 00:04:10,950 branch lengths however that still 99 00:04:14,770 --> 00:04:12,959 doesn't give us any dates to add dates 100 00:04:18,289 --> 00:04:14,780 we need to add paleontological beta 101 00:04:20,690 --> 00:04:18,299 fossils to do that you can constrain 102 00:04:23,659 --> 00:04:20,700 specific nodes with specific fossils for 103 00:04:26,090 --> 00:04:23,669 example the mammal reptile split had to 104 00:04:28,670 --> 00:04:26,100 happen before the first solid reptile 105 00:04:31,430 --> 00:04:28,680 fossil so we can calibrate all of these 106 00:04:31,929 --> 00:04:31,440 amniotes with highly nomis and give it a 107 00:04:34,429 --> 00:04:31,939 date 108 00:04:37,420 --> 00:04:34,439 that is earliest and like some 109 00:04:39,589 --> 00:04:37,430 probability for when that node occurred 110 00:04:41,839 --> 00:04:39,599 we do this for a whole bunch of nodes 111 00:04:43,550 --> 00:04:41,849 and it creates a molecular clock which 112 00:04:45,649 --> 00:04:43,560 is basically just a phylogenetic tree 113 00:04:49,189 --> 00:04:45,659 with dates associated with each node and 114 00:04:52,040 --> 00:04:49,199 some probability there so we started 115 00:04:54,920 --> 00:04:52,050 doing this process for sqm oh and 40 SC 116 00:04:59,480 --> 00:04:54,930 and these are two maximum likelihood 117 00:05:01,339 --> 00:04:59,490 trees sqm oh and osc this is a 118 00:05:03,469 --> 00:05:01,349 representative sampling of eukaryotes 119 00:05:06,379 --> 00:05:03,479 and every single bacterial sequence we 120 00:05:10,719 --> 00:05:06,389 could find so the bacteria are this dark 121 00:05:12,980 --> 00:05:10,729 blue we only found 27 different species 122 00:05:15,830 --> 00:05:12,990 across six different phyla so it was 123 00:05:18,439 --> 00:05:15,840 like it's real weird bacteria that had 124 00:05:21,800 --> 00:05:18,449 these jeans and they correlate both in 125 00:05:25,490 --> 00:05:21,810 both Jean trees to these two groups one 126 00:05:29,749 --> 00:05:25,500 basil to eukaryotes and one like inside 127 00:05:32,719 --> 00:05:29,759 the eukaryotes so when you look at this 128 00:05:35,510 --> 00:05:32,729 what I want you to get from this is that 129 00:05:37,640 --> 00:05:35,520 all of these non dark blue things are 130 00:05:39,619 --> 00:05:37,650 eukaryotes and they generally reflect 131 00:05:42,290 --> 00:05:39,629 the species tree so we can say that 132 00:05:44,629 --> 00:05:42,300 these genes were probably present here 133 00:05:46,550 --> 00:05:44,639 in the stem eukaryote and we're just 134 00:05:50,209 --> 00:05:46,560 vertically inherited throughout Eukarya 135 00:05:53,480 --> 00:05:50,219 however the bacteria are weird here like 136 00:05:56,869 --> 00:05:53,490 this group here bacterial group to bec 137 00:05:58,249 --> 00:05:56,879 your ad in nabol from algae so they got 138 00:06:00,740 --> 00:05:58,259 this gene through horizontal gene 139 00:06:05,809 --> 00:06:00,750 transfer probably from some algae at 140 00:06:07,909 --> 00:06:05,819 some point same with this this basal 141 00:06:11,629 --> 00:06:07,919 group there's horizontal gene transfer 142 00:06:13,159 --> 00:06:11,639 here between these bacteria and the stem 143 00:06:14,959 --> 00:06:13,169 eukaryote we can't polarize which 144 00:06:17,929 --> 00:06:14,969 direction it is I can't say oh it 145 00:06:20,300 --> 00:06:17,939 evolved in eukaryotes but there was some 146 00:06:23,450 --> 00:06:20,310 sort of gene sharing here so we can say 147 00:06:27,139 --> 00:06:23,460 by this node we had functional sqm oh 148 00:06:28,700 --> 00:06:27,149 and osc also some of these bacteria been 149 00:06:31,909 --> 00:06:28,710 proven in the lab to actually create 150 00:06:33,589 --> 00:06:31,919 functional sterols so that was like a 151 00:06:34,820 --> 00:06:33,599 lot but basically you just need to know 152 00:06:39,230 --> 00:06:34,830 there's two horizontal gene transfer 153 00:06:40,730 --> 00:06:39,240 into or out of bacteria and we think 154 00:06:41,930 --> 00:06:40,740 since they're this they're in the same 155 00:06:44,300 --> 00:06:41,940 place that they were being transferred 156 00:06:45,060 --> 00:06:44,310 together so we looked at the genome of 157 00:06:48,120 --> 00:06:45,070 all of these 158 00:06:50,670 --> 00:06:48,130 bacteria that have both genes and if you 159 00:06:52,950 --> 00:06:50,680 look OSC is orange eskimos blue and 160 00:06:54,630 --> 00:06:52,960 they're always right about next to each 161 00:06:56,430 --> 00:06:54,640 other on the genome of these bacteria 162 00:06:57,660 --> 00:06:56,440 which is pretty good evidence that the 163 00:06:59,220 --> 00:06:57,670 two genes were being transferred 164 00:07:02,490 --> 00:06:59,230 together in both of these events and 165 00:07:04,140 --> 00:07:02,500 that when we make our clocks if we're 166 00:07:07,080 --> 00:07:04,150 just looking at the transfers we can add 167 00:07:10,620 --> 00:07:07,090 data from sqm o to data from OSC to 168 00:07:14,100 --> 00:07:10,630 constrain those two nodes we ended up 169 00:07:17,460 --> 00:07:14,110 doing ten different analyses looking at 170 00:07:19,650 --> 00:07:17,470 two different topologies simply because 171 00:07:21,480 --> 00:07:19,660 there's some debate if excavates are 172 00:07:24,600 --> 00:07:21,490 basil to the other eukaryotes or if 173 00:07:26,010 --> 00:07:24,610 they're sister to the by cons and just 174 00:07:28,440 --> 00:07:26,020 to cover all our bases we did both 175 00:07:31,380 --> 00:07:28,450 topologies we also looked at five 176 00:07:33,810 --> 00:07:31,390 different datasets the SQ MO and osc 177 00:07:35,180 --> 00:07:33,820 genes concatenated like I just mentioned 178 00:07:38,910 --> 00:07:35,190 because they were being moved together 179 00:07:40,590 --> 00:07:38,920 also as qmo by itself as qmo constrained 180 00:07:43,410 --> 00:07:40,600 by an out group of genes from the Oba 181 00:07:45,840 --> 00:07:43,420 quinone biosynthesis pathway OSC by 182 00:07:48,090 --> 00:07:45,850 itself and osc constrained by an out 183 00:07:51,750 --> 00:07:48,100 group of squalene hoping cyclase it's 184 00:07:53,430 --> 00:07:51,760 sort of bacterial analogue each analysis 185 00:07:56,910 --> 00:07:53,440 had between 14 and 18 fossil 186 00:07:59,430 --> 00:07:56,920 calibrations added and I have to mention 187 00:08:01,470 --> 00:07:59,440 that we did exclude the SQ mo alone data 188 00:08:03,930 --> 00:08:01,480 set from our numerical analyses that 189 00:08:06,690 --> 00:08:03,940 we'll get into later simply because it 190 00:08:08,880 --> 00:08:06,700 was broadly inconsistent with our other 191 00:08:12,690 --> 00:08:08,890 analyses broadly and consistent with 192 00:08:16,230 --> 00:08:12,700 previous molecular clock work and very 193 00:08:17,850 --> 00:08:16,240 very old but when we added a 194 00:08:22,230 --> 00:08:17,860 constraining out group or the data from 195 00:08:23,670 --> 00:08:22,240 OSC it fixed the problem so here's an 196 00:08:25,500 --> 00:08:23,680 example of one of our molecular clocks 197 00:08:26,940 --> 00:08:25,510 this is the concatenated one so that I 198 00:08:29,640 --> 00:08:26,950 could particularly look at the two 199 00:08:32,630 --> 00:08:29,650 bacterial transfers first I want to talk 200 00:08:35,280 --> 00:08:32,640 about this green star that's 201 00:08:39,300 --> 00:08:35,290 representing crown Eukarya all of the 202 00:08:41,610 --> 00:08:39,310 eukaryotes here do make modern at least 203 00:08:44,820 --> 00:08:41,620 the modern versions create 26 to 30 204 00:08:48,390 --> 00:08:44,830 sterols 30 carbon sterols as such we can 205 00:08:50,910 --> 00:08:48,400 infer that way back here we had the 206 00:08:53,220 --> 00:08:50,920 genetic machinery to do so so we would 207 00:08:56,340 --> 00:08:53,230 expect to see 26 to 30 carbon sterols in 208 00:08:57,960 --> 00:08:56,350 the rock record around here but the 209 00:08:58,470 --> 00:08:57,970 average date we get for that node is one 210 00:09:00,720 --> 00:08:58,480 point 211 00:09:02,400 --> 00:09:00,730 six billion years ago which is much 212 00:09:06,150 --> 00:09:02,410 earlier than that 800 million i 213 00:09:07,949 --> 00:09:06,160 mentioned earlier furthermore if you 214 00:09:10,230 --> 00:09:07,959 look at this red node that represents 215 00:09:12,540 --> 00:09:10,240 the first transfer between the bacteria 216 00:09:15,329 --> 00:09:12,550 and the stem eukaryote so the pathway 217 00:09:18,110 --> 00:09:15,339 existed by then and we should expect to 218 00:09:20,910 --> 00:09:18,120 see at least proto sterols by this node 219 00:09:22,500 --> 00:09:20,920 as you can probably tell this 220 00:09:25,319 --> 00:09:22,510 ninety-five percent confidence interval 221 00:09:29,189 --> 00:09:25,329 is really big it's like 800 million 222 00:09:31,259 --> 00:09:29,199 years so I can't really say that much 223 00:09:32,730 --> 00:09:31,269 about when this occurred but the 224 00:09:35,579 --> 00:09:32,740 confidence interval in none of our 225 00:09:37,199 --> 00:09:35,589 analyses enters me so proterozoic so we 226 00:09:40,259 --> 00:09:37,209 can at least conclude that from this 227 00:09:42,720 --> 00:09:40,269 work these two genes should exist before 228 00:09:46,439 --> 00:09:42,730 the mesoproterozoic and if we look more 229 00:09:48,509 --> 00:09:46,449 closely at that node which is here the 230 00:09:50,970 --> 00:09:48,519 maximum probability in all of the 231 00:09:54,420 --> 00:09:50,980 analyses excluding that s qm o alone one 232 00:09:56,189 --> 00:09:54,430 the light blue occur like right during 233 00:09:58,740 --> 00:09:56,199 or right after the great oxidation event 234 00:10:01,980 --> 00:09:58,750 which is reasonable because the pathway 235 00:10:07,220 --> 00:10:01,990 requires oxygen so sharing it right 236 00:10:10,879 --> 00:10:07,230 about then would be useful I guess so 237 00:10:13,319 --> 00:10:10,889 that's about it in conclusion the 238 00:10:16,769 --> 00:10:13,329 pathway the the sterile synthesis 239 00:10:19,680 --> 00:10:16,779 pathway seems to have evolved much 240 00:10:21,360 --> 00:10:19,690 earlier than the rock record suggests if 241 00:10:23,550 --> 00:10:21,370 you look at this little chart the 242 00:10:26,280 --> 00:10:23,560 horizontal lines are our predictions and 243 00:10:29,850 --> 00:10:26,290 the vertical lines are the first thing 244 00:10:32,009 --> 00:10:29,860 we found in the rock record other things 245 00:10:33,750 --> 00:10:32,019 of note the evolution of the pathway 246 00:10:36,000 --> 00:10:33,760 correlates with the great oxidation 247 00:10:39,569 --> 00:10:36,010 event so as soon as we have oxygen we're 248 00:10:41,400 --> 00:10:39,579 making these sterols and a sterile 249 00:10:43,530 --> 00:10:41,410 biosynthesis predates the evolution of 250 00:10:45,420 --> 00:10:43,540 crown group Eukarya and might have been 251 00:10:49,040 --> 00:10:45,430 an important pre adaptation for 252 00:10:51,920 --> 00:10:49,050 subsequent you carry already ation and 253 00:10:53,850 --> 00:10:51,930 that's about it I'd like to acknowledge 254 00:10:55,949 --> 00:10:53,860 specifically David gold who was my 255 00:11:04,420 --> 00:10:55,959 mentor on this project and the summons 256 00:11:14,330 --> 00:11:12,110 questions for Abigail great talk so it 257 00:11:16,220 --> 00:11:14,340 seems reasonable that the you know by 258 00:11:18,590 --> 00:11:16,230 Owens biosynthetic pathway involving 259 00:11:22,730 --> 00:11:18,600 oxygen kind of came about around the 260 00:11:24,200 --> 00:11:22,740 great oxidation event but do you think 261 00:11:27,320 --> 00:11:24,210 there might have been like a different 262 00:11:30,440 --> 00:11:27,330 pathway that was still making you know 263 00:11:33,980 --> 00:11:30,450 sterols prior to oxidation that would 264 00:11:36,380 --> 00:11:33,990 not necessarily look very similar um I'm 265 00:11:38,930 --> 00:11:36,390 not entirely sure I sort of doubt it 266 00:11:42,020 --> 00:11:38,940 because at least the the cyclase 267 00:11:45,740 --> 00:11:42,030 involved is very similar to squalene 268 00:11:47,570 --> 00:11:45,750 Hopi and cyclase and hoping Tsar serve a 269 00:11:50,360 --> 00:11:47,580 very similar function but in bacteria 270 00:11:53,240 --> 00:11:50,370 and so at least when I do the trees it 271 00:11:55,250 --> 00:11:53,250 looks pretty clear that that gene sort 272 00:11:58,280 --> 00:11:55,260 of branched off around then from this 273 00:12:00,200 --> 00:11:58,290 hoping gene I guess there could have 274 00:12:03,110 --> 00:12:00,210 been an entirely different pathway but I 275 00:12:05,030 --> 00:12:03,120 have no way to tell yeah its retail with 276 00:12:06,980 --> 00:12:05,040 this method I guess I don't think it's 277 00:12:20,020 --> 00:12:06,990 very likely that some other pathway also 278 00:12:25,400 --> 00:12:23,360 um so being unfamiliar with the 279 00:12:28,490 --> 00:12:25,410 molecular clock method what's the 280 00:12:30,710 --> 00:12:28,500 uncertainty in this sort of analysis in 281 00:12:32,930 --> 00:12:30,720 this analysis I mean so we have a 282 00:12:35,420 --> 00:12:32,940 different amount of uncertainty on each 283 00:12:42,079 --> 00:12:35,430 of the nodes which are these it's kind 284 00:12:44,480 --> 00:12:42,089 of hard to see but like these bars so we 285 00:12:46,160 --> 00:12:44,490 have particularly large uncertainties 286 00:12:48,440 --> 00:12:46,170 because this clock is only being run 287 00:12:50,390 --> 00:12:48,450 with one gene or in this case two genes 288 00:12:51,770 --> 00:12:50,400 of information and like most published 289 00:12:55,220 --> 00:12:51,780 clocks that are just trying to determine 290 00:12:57,500 --> 00:12:55,230 the species tree are run with like tens 291 00:13:00,260 --> 00:12:57,510 of jeans all concatenated together so we 292 00:13:01,940 --> 00:13:00,270 do have more uncertainty than a clock 293 00:13:05,380 --> 00:13:01,950 that was just looking at the species 294 00:13:08,990 --> 00:13:05,390 tree but like I said our conclusions are 295 00:13:11,329 --> 00:13:09,000 so broad that I think it's fine like 296 00:13:12,650 --> 00:13:11,339 we're not saying this definitely 297 00:13:16,129 --> 00:13:12,660 occurred at this date 298 00:13:18,590 --> 00:13:16,139 our conclusion is like this occurred you 299 00:13:21,079 --> 00:13:18,600 know 600 million years earlier than the 300 00:13:22,400 --> 00:13:21,089 rocks so I think our conclusions are 301 00:13:24,710 --> 00:13:22,410 solid but there's still a lot of 302 00:13:29,509 --> 00:13:24,720 uncertainty in the exact dates okay 303 00:13:34,389 --> 00:13:29,519 thanks does that answer it okay I think 304 00:13:38,389 --> 00:13:34,399 we have time for one more quick question 305 00:13:39,710 --> 00:13:38,399 how conserved are these genes so how 306 00:13:43,639 --> 00:13:39,720 many mutations are you trying to make 307 00:13:46,639 --> 00:13:43,649 this molecular clock with they're fairly 308 00:13:48,319 --> 00:13:46,649 well conserved um i don't think i have 309 00:13:51,319 --> 00:13:48,329 like a good quantitative answer for you 310 00:13:54,290 --> 00:13:51,329 ah looking for eugene the tree in 311 00:13:56,509 --> 00:13:54,300 general hasn't like the genes have 312 00:13:59,210 --> 00:13:56,519 enough variety that we do just get the 313 00:14:02,360 --> 00:13:59,220 eukaryote species tree pretty reliably 314 00:14:04,429 --> 00:14:02,370 so I think we can be fairly confident 315 00:14:11,150 --> 00:14:04,439 that what we're seeing is real but they