1 00:00:12,250 --> 00:00:06,150 you 2 00:00:15,670 --> 00:00:14,250 [Music] 3 00:00:17,590 --> 00:00:15,680 thank you 4 00:00:20,440 --> 00:00:17,600 I actually I would like to thank the 5 00:00:22,810 --> 00:00:20,450 four new lab members also for doing a 6 00:00:24,249 --> 00:00:22,820 very good job in opening how we opening 7 00:00:26,260 --> 00:00:24,259 the argument on how we can use 8 00:00:28,720 --> 00:00:26,270 phylogenetic reconstruction to travel 9 00:00:31,180 --> 00:00:28,730 back in time and understand the early 10 00:00:34,510 --> 00:00:31,190 events that are related to perhaps in 11 00:00:36,340 --> 00:00:34,520 shape to earth life coevolution this is 12 00:00:39,009 --> 00:00:36,350 the first time I'm presenting the 13 00:00:42,220 --> 00:00:39,019 results of this work and and I termed 14 00:00:45,160 --> 00:00:42,230 this work as is the term I use is the 15 00:00:47,110 --> 00:00:45,170 paleo phenotype reconstruction I'm a 16 00:00:50,770 --> 00:00:47,120 cell biologist and an evolutionary 17 00:00:52,600 --> 00:00:50,780 biologist and I do reconstruct genes and 18 00:00:57,190 --> 00:00:52,610 then study the behavior of these 19 00:01:00,490 --> 00:00:57,200 proteins in using modern using modern 20 00:01:04,329 --> 00:01:00,500 cells and then link the behavior that I 21 00:01:06,430 --> 00:01:04,339 measure to two questions related to deep 22 00:01:12,460 --> 00:01:06,440 life you guys hear me now in my mind 23 00:01:15,070 --> 00:01:12,470 okay good all right so let's go the 24 00:01:18,210 --> 00:01:15,080 first work that we did focused on the 25 00:01:20,950 --> 00:01:18,220 carbon isotope fractionation values so 26 00:01:22,359 --> 00:01:20,960 there are various bio signatures and 27 00:01:24,280 --> 00:01:22,369 carbon isotopes are that they were 28 00:01:26,440 --> 00:01:24,290 interesting to us because they they can 29 00:01:28,179 --> 00:01:26,450 relate all the way back to the origins 30 00:01:30,760 --> 00:01:28,189 of life and there was the most pervasive 31 00:01:33,280 --> 00:01:30,770 one and what is really interesting here 32 00:01:35,289 --> 00:01:33,290 is that just just a belief or review is 33 00:01:37,300 --> 00:01:35,299 that what we have here is a biochemical 34 00:01:39,730 --> 00:01:37,310 process if if this carbon fractionation 35 00:01:41,830 --> 00:01:39,740 is linked to a biological behavior a 36 00:01:44,530 --> 00:01:41,840 biochemical process that can cause a 37 00:01:46,870 --> 00:01:44,540 fluctuation in the amounts of isotopes 38 00:01:49,210 --> 00:01:46,880 of carbon ratios that are incorporated 39 00:01:52,030 --> 00:01:49,220 into the cell and there are different 40 00:01:53,460 --> 00:01:52,040 carbon isotopes that are available and 41 00:01:55,990 --> 00:01:53,470 then there are carbon isotopes that are 42 00:01:58,240 --> 00:01:56,000 present in the cell and the ask okay 43 00:02:00,940 --> 00:01:58,250 what are the biological components that 44 00:02:03,160 --> 00:02:00,950 are responsible inside the cell that 45 00:02:05,050 --> 00:02:03,170 caused this biochemical dependent 46 00:02:09,999 --> 00:02:05,060 fractionation that we observe in the 47 00:02:11,319 --> 00:02:10,009 rock record and the environment at least 48 00:02:14,020 --> 00:02:11,329 in the case of carbon isotope 49 00:02:15,520 --> 00:02:14,030 fractionation what was called Rubisco so 50 00:02:17,710 --> 00:02:15,530 the answer was its straightforward in 51 00:02:20,199 --> 00:02:17,720 this case because the behavior of this 52 00:02:22,660 --> 00:02:20,209 enzyme rubisco is directly associated 53 00:02:25,589 --> 00:02:22,670 with the carbon isotope records that we 54 00:02:28,830 --> 00:02:25,599 measure in the rock record in the car 55 00:02:31,050 --> 00:02:28,840 isotope data attributes to to live 56 00:02:33,390 --> 00:02:31,060 organism or organism that survive in the 57 00:02:36,059 --> 00:02:33,400 past the dubis Co converts oxidized 58 00:02:38,729 --> 00:02:36,069 carbon dioxide to reduce organic carbon 59 00:02:41,369 --> 00:02:38,739 and it's going to prevent add the 60 00:02:43,770 --> 00:02:41,379 carbon-12 isotope over carbon 13 given 61 00:02:48,259 --> 00:02:43,780 that carbon-12 which hits the enzyme 62 00:02:52,679 --> 00:02:50,699 it's a pretty interesting enzyme and 63 00:02:54,390 --> 00:02:52,689 also has been a focus of various studies 64 00:02:56,940 --> 00:02:54,400 that won't improve the photosynthetic 65 00:02:59,879 --> 00:02:56,950 ability or carbon fixation ability of 66 00:03:02,640 --> 00:02:59,889 car of cyanobacteria but our interest 67 00:03:04,530 --> 00:03:02,650 was in related to questions that are 68 00:03:05,429 --> 00:03:04,540 interesting to us the origins of life in 69 00:03:07,259 --> 00:03:05,439 astrobiology 70 00:03:09,899 --> 00:03:07,269 it's the Rubisco is the most abundant 71 00:03:12,270 --> 00:03:09,909 protein on earth it is it is rather slow 72 00:03:14,759 --> 00:03:12,280 and confused it cannot readily 73 00:03:18,089 --> 00:03:14,769 differentiate carbon dioxide with from 74 00:03:20,159 --> 00:03:18,099 oxygen which leads to a lot of big most 75 00:03:21,509 --> 00:03:20,169 of energy in the cell because the cell 76 00:03:23,520 --> 00:03:21,519 does not end up preceding the 77 00:03:25,920 --> 00:03:23,530 carboxylation reaction but then precedes 78 00:03:28,259 --> 00:03:25,930 it oxygenation reaction and thus cannot 79 00:03:30,149 --> 00:03:28,269 proceed and complete the photosynthesis 80 00:03:33,659 --> 00:03:30,159 as efficiently as it would otherwise do 81 00:03:35,849 --> 00:03:33,669 with the carbon dioxide so we simply 82 00:03:37,559 --> 00:03:35,859 asked can we resurrect 83 00:03:39,300 --> 00:03:37,569 early life bio signatures at least in 84 00:03:42,569 --> 00:03:39,310 the case for in this case four carbon 85 00:03:45,390 --> 00:03:42,579 isotope discrimination related proteins 86 00:03:47,429 --> 00:03:45,400 using Rubisco and our test was to go 87 00:03:50,189 --> 00:03:47,439 back in time by using phylogenetic some 88 00:03:52,259 --> 00:03:50,199 molecular evolution and resurrect the 89 00:03:54,599 --> 00:03:52,269 key notes using the phylogenetic tree 90 00:03:56,580 --> 00:03:54,609 and study the behavior of this ancient 91 00:04:01,409 --> 00:03:56,590 environment in this case is going to the 92 00:04:04,259 --> 00:04:01,419 ancient ruby screen van so let's come 93 00:04:05,789 --> 00:04:04,269 back to the future today we have four 94 00:04:07,979 --> 00:04:05,799 different types of Rubisco that is 95 00:04:10,439 --> 00:04:07,989 present inside the cell for our 96 00:04:13,289 --> 00:04:10,449 convenience these are named at group 1 2 97 00:04:15,270 --> 00:04:13,299 3 & 4 viscose and they at a glance at 98 00:04:17,159 --> 00:04:15,280 the monomer level they are similar but 99 00:04:19,349 --> 00:04:17,169 at the older grammar level it's the 100 00:04:21,479 --> 00:04:19,359 multiple protein domain level they may 101 00:04:23,459 --> 00:04:21,489 have some differences but at large they 102 00:04:26,580 --> 00:04:23,469 are thought to be pretty identical at 103 00:04:29,339 --> 00:04:26,590 least it's a structural level and group 104 00:04:30,959 --> 00:04:29,349 1 is the most abundant protein that we 105 00:04:36,149 --> 00:04:30,969 have right now and it's also the one 106 00:04:37,830 --> 00:04:36,159 that is used by cyanobacteria and in 107 00:04:38,999 --> 00:04:37,840 following up on the previous circuit we 108 00:04:41,010 --> 00:04:39,009 also you 109 00:04:42,839 --> 00:04:41,020 phylogenetically construction in our 110 00:04:45,779 --> 00:04:42,849 case we use different alignment tools 111 00:04:47,730 --> 00:04:45,789 and different inference tools in order 112 00:04:50,010 --> 00:04:47,740 to generate multiple trees and then 113 00:04:51,600 --> 00:04:50,020 among these trees that we created we 114 00:04:54,089 --> 00:04:51,610 picked the one that support that has 115 00:04:58,909 --> 00:04:54,099 high branch support value and that also 116 00:05:01,019 --> 00:04:58,919 led to a multiple actually a sequence of 117 00:05:02,969 --> 00:05:01,029 representation to risk operating so just 118 00:05:04,589 --> 00:05:02,979 to run you through we start with the 119 00:05:06,899 --> 00:05:04,599 currently available sequences for the 120 00:05:09,659 --> 00:05:06,909 case of Rubisco we scanned all of these 121 00:05:11,489 --> 00:05:09,669 group one two for a group one two for 122 00:05:14,129 --> 00:05:11,499 Rubisco and then performs multiple 123 00:05:16,589 --> 00:05:14,139 alignments and then from there use 124 00:05:19,019 --> 00:05:16,599 maximum likelihood phylogeny algorithm 125 00:05:21,299 --> 00:05:19,029 and then we constructed ancestors and we 126 00:05:23,519 --> 00:05:21,309 use this currently available online tool 127 00:05:25,379 --> 00:05:23,529 called final but it's a friendly robot 128 00:05:27,659 --> 00:05:25,389 that automates your phylogenetically 129 00:05:30,059 --> 00:05:27,669 constructions for you I'm not paid to 130 00:05:31,860 --> 00:05:30,069 say that with free fuels and and if you 131 00:05:33,779 --> 00:05:31,870 have a favorite gene that you want to 132 00:05:38,730 --> 00:05:33,789 reconstruct you can also use this tool 133 00:05:39,989 --> 00:05:38,740 it's called Philo bot comm so here 134 00:05:42,119 --> 00:05:39,999 you're looking at the evolutionary 135 00:05:44,129 --> 00:05:42,129 history of Rubisco protein we are 136 00:05:46,290 --> 00:05:44,139 starting with our interest with soil 137 00:05:48,449 --> 00:05:46,300 bacteria because cyanobacteria is a 138 00:05:50,820 --> 00:05:48,459 first of all as I said it has the 139 00:05:53,309 --> 00:05:50,830 highest abundant of Rubisco protein 140 00:05:55,019 --> 00:05:53,319 today and also we can culture 141 00:05:57,029 --> 00:05:55,029 cyanobacteria in the lab and even 142 00:05:59,100 --> 00:05:57,039 engineer its genome and that is of 143 00:06:01,079 --> 00:05:59,110 interest to us because we are interested 144 00:06:03,570 --> 00:06:01,089 in alternately understanding what these 145 00:06:05,399 --> 00:06:03,580 ancient sequences will do inside the 146 00:06:07,230 --> 00:06:05,409 cell and hopefully measure the isotopic 147 00:06:09,239 --> 00:06:07,240 fractionation values that will be 148 00:06:11,459 --> 00:06:09,249 generated by these ancient proteins and 149 00:06:14,159 --> 00:06:11,469 then see if we can match the isotope 150 00:06:17,399 --> 00:06:14,169 fractionation values that we generate to 151 00:06:19,199 --> 00:06:17,409 the rock record so just to walk you 152 00:06:22,409 --> 00:06:19,209 through here your starting oh my 153 00:06:25,049 --> 00:06:22,419 goodness alright well designers we have 154 00:06:27,629 --> 00:06:25,059 the 1b cyanobacteria and you're the 155 00:06:30,149 --> 00:06:27,639 ancestor of 1a and 1b one in one being 156 00:06:31,980 --> 00:06:30,159 very walking backwards in time and going 157 00:06:33,839 --> 00:06:31,990 back to the ancestor one two three this 158 00:06:36,329 --> 00:06:33,849 is the whole ancestor of all the groups 159 00:06:39,239 --> 00:06:36,339 so we can walk back in the branches of 160 00:06:41,100 --> 00:06:39,249 trees and and then reach to a time in 161 00:06:46,679 --> 00:06:41,110 the past and then reconstruct the 162 00:06:48,389 --> 00:06:46,689 sequences of these enzymes and all these 163 00:06:51,269 --> 00:06:48,399 sequences for the first time are 164 00:06:53,100 --> 00:06:51,279 available for the use of any community 165 00:06:54,960 --> 00:06:53,110 really and hopefully the geobiology 166 00:06:57,300 --> 00:06:54,970 musi so by going into this address you 167 00:06:59,310 --> 00:06:57,310 can download this tree and also click in 168 00:07:01,020 --> 00:06:59,320 h and every note and not only see the 169 00:07:03,060 --> 00:07:01,030 most likely sequence but all the 170 00:07:06,750 --> 00:07:03,070 possible ancestors so if you have a ruby 171 00:07:08,790 --> 00:07:06,760 story an organism that you I don't you 172 00:07:10,470 --> 00:07:08,800 extracted in the field and you think 173 00:07:12,060 --> 00:07:10,480 that there is an interesting Rubisco 174 00:07:14,100 --> 00:07:12,070 sequence there please go ahead and use 175 00:07:15,720 --> 00:07:14,110 our tree to compare these sequences and 176 00:07:17,430 --> 00:07:15,730 see if you can find some interesting 177 00:07:19,260 --> 00:07:17,440 stories and we have some members in our 178 00:07:21,450 --> 00:07:19,270 community they are using art that are 179 00:07:23,670 --> 00:07:21,460 using our Trina for group to riscos and 180 00:07:24,750 --> 00:07:23,680 which is great so here is the 181 00:07:26,970 --> 00:07:24,760 evolutionary history of Rubisco 182 00:07:29,400 --> 00:07:26,980 operating in a more simplified way the 183 00:07:33,230 --> 00:07:29,410 in blue is the cyanobacteria the current 184 00:07:35,790 --> 00:07:33,240 cyanobacterial group and all these um I 185 00:07:37,980 --> 00:07:35,800 will come to what all these aesthetics 186 00:07:39,810 --> 00:07:37,990 is mean in a minute but we basically ask 187 00:07:41,550 --> 00:07:39,820 what is the sequence what is the 188 00:07:43,230 --> 00:07:41,560 structure and what is the functional 189 00:07:46,320 --> 00:07:43,240 suite ancient Ruby stores and can we 190 00:07:48,990 --> 00:07:46,330 infer any information about to pass by 191 00:07:53,160 --> 00:07:49,000 using these sequences structures and 192 00:07:54,690 --> 00:07:53,170 ultimately function so let's start with 193 00:07:56,730 --> 00:07:54,700 the group one ancestor here you're 194 00:07:58,860 --> 00:07:56,740 looking at the knot sequence by the 195 00:08:01,410 --> 00:07:58,870 inferred structure of the disk operating 196 00:08:02,940 --> 00:08:01,420 this is the ancestor of Group one that 197 00:08:06,330 --> 00:08:02,950 is also you're looking at the 198 00:08:08,760 --> 00:08:06,340 cyanobacteria ancestor of Rubisco that 199 00:08:12,960 --> 00:08:08,770 may be live as old as the cyanobacteria 200 00:08:16,440 --> 00:08:12,970 ancestor did and and here is the group 1 201 00:08:18,180 --> 00:08:16,450 3 ancestor and group 1 2 3 ancestor so 202 00:08:19,710 --> 00:08:18,190 as you can see there is no drastic 203 00:08:21,570 --> 00:08:19,720 change in the structure of this protein 204 00:08:25,490 --> 00:08:21,580 that the structure of the rubik's code 205 00:08:28,350 --> 00:08:25,500 seems to be conserved across time so 206 00:08:31,530 --> 00:08:28,360 okay how about variation at the sequence 207 00:08:33,360 --> 00:08:31,540 level apple can look apple in variety of 208 00:08:37,400 --> 00:08:33,370 ways but even for apple we have 209 00:08:41,010 --> 00:08:37,410 different DNA sequences and that's what 210 00:08:43,320 --> 00:08:41,020 we've looked at we basically ask that 211 00:08:45,920 --> 00:08:43,330 the structure identity mean functional 212 00:08:48,210 --> 00:08:45,930 identity and is just that general 213 00:08:50,880 --> 00:08:48,220 phenomenon in biochemistry that that's 214 00:08:52,800 --> 00:08:50,890 not necessarily true DNA sequence can be 215 00:08:54,570 --> 00:08:52,810 pretty identical for between two 216 00:08:56,460 --> 00:08:54,580 different proteins but their function 217 00:08:58,020 --> 00:08:56,470 could be drastically different depending 218 00:08:59,820 --> 00:08:58,030 on where these mutations where these 219 00:09:02,370 --> 00:08:59,830 differences between these two sequences 220 00:09:03,960 --> 00:09:02,380 may be located and that's a property 221 00:09:04,939 --> 00:09:03,970 that we see even at the currently 222 00:09:07,009 --> 00:09:04,949 existing ruby 223 00:09:09,439 --> 00:09:07,019 even though they look pretty similar the 224 00:09:11,689 --> 00:09:09,449 our carbon fractionation values that 225 00:09:15,789 --> 00:09:11,699 they exhibit and their carbon dioxide 226 00:09:20,119 --> 00:09:15,799 oxygen specificity even can be different 227 00:09:21,769 --> 00:09:20,129 and be focused on multiple locations in 228 00:09:23,679 --> 00:09:21,779 this protein that are thought to be 229 00:09:27,109 --> 00:09:23,689 associated with the carbon fixation 230 00:09:28,879 --> 00:09:27,119 ability of this protein itself and these 231 00:09:31,159 --> 00:09:28,889 are the n-terminal domains and alpha 232 00:09:32,900 --> 00:09:31,169 beta barrels and large small and large 233 00:09:34,669 --> 00:09:32,910 large subunit interfaces and these were 234 00:09:36,650 --> 00:09:34,679 all based on previously published 235 00:09:38,780 --> 00:09:36,660 literature data in the literature that 236 00:09:41,119 --> 00:09:38,790 showed that changes in this area could 237 00:09:44,119 --> 00:09:41,129 impact the property to be function of 238 00:09:46,939 --> 00:09:44,129 the enzyme that are referred as hot 239 00:09:52,819 --> 00:09:46,949 spots because biochemists like the drama 240 00:09:56,030 --> 00:09:52,829 well yo wait okay here we go so so here 241 00:09:58,009 --> 00:09:56,040 I bitmap the the Rubisco proteins that 242 00:09:59,720 --> 00:09:58,019 we see through time you're going 243 00:10:01,669 --> 00:09:59,730 backwards in millions of years so the 244 00:10:03,349 --> 00:10:01,679 structure is conserved but let's forget 245 00:10:05,479 --> 00:10:03,359 the sequence and for this lead with some 246 00:10:07,609 --> 00:10:05,489 evolutionary change evolutionary tests 247 00:10:09,559 --> 00:10:07,619 using the DNA and protein sequence data 248 00:10:11,179 --> 00:10:09,569 to understand the substitution among 249 00:10:13,970 --> 00:10:11,189 these proteins and deceased these 250 00:10:16,999 --> 00:10:13,980 substitutions can be adaptive so what we 251 00:10:20,720 --> 00:10:17,009 see is that the main changes happen 252 00:10:23,150 --> 00:10:20,730 between group 1 3 and group 1 and these 253 00:10:25,280 --> 00:10:23,160 are in the internal location of Group 1 254 00:10:27,650 --> 00:10:25,290 tree and group 1 seems to be 255 00:10:29,929 --> 00:10:27,660 experiencing mutation all over the place 256 00:10:31,609 --> 00:10:29,939 so the enzyme is evolving very rapidly 257 00:10:36,799 --> 00:10:31,619 when it comes to the ancestor of 258 00:10:38,749 --> 00:10:36,809 cyanobacteria and the group 1 ancestors 259 00:10:41,419 --> 00:10:38,759 sequence overall seem to resemble the 260 00:10:45,019 --> 00:10:41,429 modern cyanobacteria Rubisco which 261 00:10:47,359 --> 00:10:45,029 belongs to oxalate whereas the oldest 262 00:10:49,970 --> 00:10:47,369 ancestors resembled an anoxic rate 263 00:10:52,340 --> 00:10:49,980 sequence when we did multiple alignments 264 00:10:55,489 --> 00:10:52,350 and test using the currently existing 265 00:10:57,619 --> 00:10:55,499 sequence information so with that with 266 00:10:59,179 --> 00:10:57,629 that we thought perhaps the transition 267 00:11:01,309 --> 00:10:59,189 between the group one tree and group mom 268 00:11:03,699 --> 00:11:01,319 vacations that are the functionally 269 00:11:05,989 --> 00:11:03,709 important regions could maybe a 270 00:11:07,340 --> 00:11:05,999 correlate so again I have to show the 271 00:11:10,609 --> 00:11:07,350 slightest like everyone else in this 272 00:11:12,859 --> 00:11:10,619 session that revisiting the Earth's life 273 00:11:15,409 --> 00:11:12,869 history and the change in the atmosphere 274 00:11:17,570 --> 00:11:15,419 perhaps the these changes could be 275 00:11:20,630 --> 00:11:17,580 correlated with the changes in the 276 00:11:22,400 --> 00:11:20,640 most feared conditions and very wild 277 00:11:24,590 --> 00:11:22,410 when we don't see much significant 278 00:11:27,380 --> 00:11:24,600 change after the rise of the oxygen but 279 00:11:29,210 --> 00:11:27,390 what previous and even the previous 280 00:11:32,630 --> 00:11:29,220 presenters showed some cases of this 281 00:11:34,490 --> 00:11:32,640 early victim change in atmosphere so in 282 00:11:36,520 --> 00:11:34,500 fact our data seems to be suggesting 283 00:11:39,260 --> 00:11:36,530 these changes because we do see 284 00:11:41,960 --> 00:11:39,270 mutations in the protein that is even 285 00:11:45,140 --> 00:11:41,970 prior to the rise of cyanobacteria and 286 00:11:47,690 --> 00:11:45,150 our early example early data in the 287 00:11:49,760 --> 00:11:47,700 biochemical biochemical if you look at 288 00:11:51,290 --> 00:11:49,770 these enzymes we show that the early 289 00:11:54,140 --> 00:11:51,300 mutations that we seem to be changing 290 00:11:56,690 --> 00:11:54,150 the activity of the protein as much a 291 00:11:58,550 --> 00:11:56,700 little bit but the group one does seem 292 00:11:59,930 --> 00:11:58,560 to be changing the proteins activities 293 00:12:02,390 --> 00:11:59,940 which is pretty interesting that we 294 00:12:04,330 --> 00:12:02,400 think perhaps the ancient cell harboring 295 00:12:07,040 --> 00:12:04,340 the group one tree and sister may be 296 00:12:08,990 --> 00:12:07,050 preconditioning in if the atmosphere 297 00:12:10,760 --> 00:12:09,000 that this organism was living it has a 298 00:12:17,240 --> 00:12:10,770 little bit of oxygen increase or vice 299 00:12:20,390 --> 00:12:17,250 versa and our current direction is now 300 00:12:21,590 --> 00:12:20,400 to reconstruct the cellular partners 301 00:12:23,990 --> 00:12:21,600 that will be scar is interacting with 302 00:12:25,640 --> 00:12:24,000 and resurrected phenotype by measuring 303 00:12:28,820 --> 00:12:25,650 the carbon isotope fractionation of 304 00:12:30,740 --> 00:12:28,830 these genes that are present in 305 00:12:32,420 --> 00:12:30,750 cyanobacteria and for that we are 306 00:12:34,820 --> 00:12:32,430 focusing on the car boxes on this is 307 00:12:37,250 --> 00:12:34,830 also in cyanobacteria we have Rubisco 308 00:12:39,500 --> 00:12:37,260 Rubisco as many proteins in the cell is 309 00:12:41,930 --> 00:12:39,510 not functioning by itself it does rely 310 00:12:44,630 --> 00:12:41,940 on another protein I always call them as 311 00:12:45,890 --> 00:12:44,640 Batman and Robin the Batman gets all the 312 00:12:48,020 --> 00:12:45,900 credit but Robin is doing all the work 313 00:12:51,640 --> 00:12:48,030 carbonic anhydrase is actually helping 314 00:12:54,080 --> 00:12:51,650 the the car boxes on to concentrate the 315 00:12:56,480 --> 00:12:54,090 carbon dioxide inside the car box is 316 00:12:58,760 --> 00:12:56,490 also very constructed the the ancient 317 00:13:00,590 --> 00:12:58,770 sequences of carbonic anhydrase and this 318 00:13:02,450 --> 00:13:00,600 tree also will be available for you to 319 00:13:04,520 --> 00:13:02,460 use so we are currently engineering the 320 00:13:06,350 --> 00:13:04,530 cyanobacteria to not only contain 321 00:13:09,170 --> 00:13:06,360 ancient Rubisco but it is ancient 322 00:13:11,960 --> 00:13:09,180 partners to see if we can recreate an 323 00:13:14,000 --> 00:13:11,970 ancient carbon fixation system inside a 324 00:13:16,340 --> 00:13:14,010 modern organism for the first time and 325 00:13:19,400 --> 00:13:16,350 study the isotope behavior of this 326 00:13:23,300 --> 00:13:19,410 engineered organism which is exactly 327 00:13:25,790 --> 00:13:23,310 what I said here and with that 328 00:13:29,569 --> 00:13:25,800 I would like to thank our funders and 329 00:13:31,189 --> 00:13:29,579 for thinking that this project could fit 330 00:13:41,389 --> 00:13:31,199 here thank you very much Tim and thank 331 00:13:51,160 --> 00:13:41,399 you for listening thanks very much 332 00:13:55,999 --> 00:13:54,350 very nice talk for that last part and 333 00:13:57,860 --> 00:13:56,009 trying to reconstruct this in 334 00:13:59,660 --> 00:13:57,870 cyanobacteria what organism are you 335 00:14:07,220 --> 00:13:59,670 thinking of using your using snicker 336 00:14:09,619 --> 00:14:07,230 caucus oh go ahead 337 00:14:11,509 --> 00:14:09,629 super quick comment and this is also 338 00:14:13,579 --> 00:14:11,519 relevant to the previous talk to and as 339 00:14:15,319 --> 00:14:13,589 microbial ecologists I spent a lot of 340 00:14:16,850 --> 00:14:15,329 time measuring oxygen and mass and you 341 00:14:19,879 --> 00:14:16,860 saw in earlier plots that there's a lot 342 00:14:21,590 --> 00:14:19,889 of local buildup of oxygen and so you 343 00:14:23,239 --> 00:14:21,600 know it took a very long time for that 344 00:14:24,739 --> 00:14:23,249 to saturate different sinks and then 345 00:14:26,540 --> 00:14:24,749 build up in the atmosphere so as you're 346 00:14:29,150 --> 00:14:26,550 thinking about evolution is different 347 00:14:30,559 --> 00:14:29,160 either oxygen requiring enzymes or 348 00:14:32,569 --> 00:14:30,569 things that protect yourself from oxygen 349 00:14:34,519 --> 00:14:32,579 or things that are tolerant to an toxic 350 00:14:35,840 --> 00:14:34,529 toxic environment to keep in mind the 351 00:14:38,360 --> 00:14:35,850 local environment and the selection 352 00:14:40,490 --> 00:14:38,370 pressure pressure that could be provided 353 00:14:43,160 --> 00:14:40,500 there the timing of that may be very 354 00:14:44,509 --> 00:14:43,170 different from widespread oxygenation in 355 00:14:46,490 --> 00:14:44,519 that yeah exactly 356 00:14:49,460 --> 00:14:46,500 which is also why we're using libraries 357 00:14:51,939 --> 00:14:49,470 and not just one Rubisco of ancient 358 00:14:54,619 --> 00:14:51,949 Rubisco and tying that is the single 359 00:14:57,439 --> 00:14:54,629 parameter but we are using the whole 360 00:14:59,150 --> 00:14:57,449 library to see if we can look at the 361 00:15:01,819 --> 00:14:59,160 variation across different sequences 362 00:15:04,939 --> 00:15:01,829 that may represent different localities 363 00:15:05,990 --> 00:15:04,949 as well thank you yeah we'd add to that 364 00:15:07,669 --> 00:15:06,000 there's different scales of 365 00:15:09,799 --> 00:15:07,679 heterogeneity within math but also 366 00:15:12,079 --> 00:15:09,809 within certain portions of the ocean 367 00:15:14,329 --> 00:15:12,089 productive regions so it's a really good 368 00:15:16,720 --> 00:15:14,339 point we should move on but thanks you