1 00:00:00,790 --> 00:00:07,320 [Music] 2 00:00:11,960 --> 00:00:09,160 [Applause] 3 00:00:14,450 --> 00:00:11,970 I'm excited to be here and today I want 4 00:00:16,280 --> 00:00:14,460 to talk to you about Rubisco in marine 5 00:00:19,190 --> 00:00:16,290 environments and so you've had a little 6 00:00:21,350 --> 00:00:19,200 bit of introduction to risk oh and 7 00:00:25,550 --> 00:00:21,360 Rubisco is the enzyme that fixes carbon 8 00:00:27,529 --> 00:00:25,560 dioxide in photosynthesis so just to put 9 00:00:28,570 --> 00:00:27,539 it into context I have I'm gonna go 10 00:00:31,310 --> 00:00:28,580 straight to this slide this is a 11 00:00:33,799 --> 00:00:31,320 schematic of how photosynthesis works 12 00:00:36,320 --> 00:00:33,809 and you can see Rubisco up here this is 13 00:00:39,770 --> 00:00:36,330 the enzyme that takes co2 and fixes it 14 00:00:41,899 --> 00:00:39,780 into organic carbon and then it is used 15 00:00:45,170 --> 00:00:41,909 oxygen excited synthesis so all plants 16 00:00:47,390 --> 00:00:45,180 algae cyanobacteria all use this process 17 00:00:49,399 --> 00:00:47,400 here and you can see Rubisco is part of 18 00:00:51,320 --> 00:00:49,409 the light independent reaction and it 19 00:00:54,710 --> 00:00:51,330 gets the reductant and energy to power 20 00:00:56,780 --> 00:00:54,720 this light independent reaction by using 21 00:00:58,340 --> 00:00:56,790 this light dependent reaction which 22 00:01:01,280 --> 00:00:58,350 harnesses the sun's energy and uses 23 00:01:03,920 --> 00:01:01,290 chlorophyll and all that to generate to 24 00:01:07,280 --> 00:01:03,930 generate oxygen and so as I said all 25 00:01:09,109 --> 00:01:07,290 plants algae cyanobacteria use oxygen 26 00:01:11,000 --> 00:01:09,119 'ok further synthesis to autotrophic we 27 00:01:13,310 --> 00:01:11,010 fix carbon and this is by far and away 28 00:01:17,090 --> 00:01:13,320 the most dominant way of fixing carbon 29 00:01:19,969 --> 00:01:17,100 on our planet right now but there are 30 00:01:22,819 --> 00:01:19,979 parts of the earth which are there is no 31 00:01:25,219 --> 00:01:22,829 light parts of the early Earth where and 32 00:01:26,779 --> 00:01:25,229 different environments where oxygen 'ok 33 00:01:28,999 --> 00:01:26,789 photosynthesis wasn't around and there's 34 00:01:31,450 --> 00:01:29,009 actually plenty of bacteria and archaea 35 00:01:33,830 --> 00:01:31,460 at the moment that's also used Rubisco 36 00:01:36,469 --> 00:01:33,840 but they don't have this light dependent 37 00:01:38,510 --> 00:01:36,479 pathway they can use oxidized other 38 00:01:40,700 --> 00:01:38,520 chemicals and do other reactions to 39 00:01:42,560 --> 00:01:40,710 generate reductive and energy so I 40 00:01:44,270 --> 00:01:42,570 really want to focus on Rubisco because 41 00:01:46,069 --> 00:01:44,280 it is such an important part when you 42 00:01:49,160 --> 00:01:46,079 think about how carbon is fixed on our 43 00:01:51,380 --> 00:01:49,170 planet Rubisco is the main one that does 44 00:01:53,330 --> 00:01:51,390 that and I want to talk about it in the 45 00:01:55,370 --> 00:01:53,340 marine environment because half of all 46 00:01:57,169 --> 00:01:55,380 the photosynthesis on the planet happens 47 00:01:59,569 --> 00:01:57,179 in the oceans alright so that means that 48 00:02:01,910 --> 00:01:59,579 every second breath you take that oxygen 49 00:02:04,130 --> 00:02:01,920 was produced by algae in the oceans 50 00:02:06,200 --> 00:02:04,140 which is circle and in the oceans the 51 00:02:07,999 --> 00:02:06,210 oxygen 'ok photosynthesis is largely 52 00:02:10,010 --> 00:02:08,009 produced by is this group called 53 00:02:12,800 --> 00:02:10,020 phytoplankton which is a very loose term 54 00:02:15,020 --> 00:02:12,810 that covers all sorts of single-celled 55 00:02:17,449 --> 00:02:15,030 microbes that do oxygenic photosynthesis 56 00:02:18,860 --> 00:02:17,459 and they come from a remarkably diverse 57 00:02:22,190 --> 00:02:18,870 background all the way from 58 00:02:22,640 --> 00:02:22,200 cyanobacteria to sort of hetrick on 59 00:02:24,679 --> 00:02:22,650 switch 60 00:02:28,759 --> 00:02:24,689 diatoms oquawka livers that make these 61 00:02:31,100 --> 00:02:28,769 beautiful shells to the screen algae 62 00:02:32,119 --> 00:02:31,110 anyway it's just incredibly diverse they 63 00:02:34,670 --> 00:02:32,129 have all these different types of 64 00:02:36,679 --> 00:02:34,680 Rubisco compared to plants which all 65 00:02:38,630 --> 00:02:36,689 arise from one ancestor with you know 66 00:02:40,610 --> 00:02:38,640 one type of Rubisco so the diversity in 67 00:02:42,199 --> 00:02:40,620 the oceans is huge and then you go into 68 00:02:44,240 --> 00:02:42,209 the deep oceans and hydrothermal vents 69 00:02:45,860 --> 00:02:44,250 and anoxic zones and you have all the 70 00:02:48,259 --> 00:02:45,870 bacteria and archaea that are also using 71 00:02:50,479 --> 00:02:48,269 a Rubisco to fix co2 so if we want to 72 00:02:52,339 --> 00:02:50,489 understand how a Bisco has evolved and 73 00:02:54,470 --> 00:02:52,349 autotrophic carbon fixation has evolved 74 00:02:57,979 --> 00:02:54,480 on our planet the oceans is a great 75 00:02:59,629 --> 00:02:57,989 place to look and so Rubisco stands for 76 00:03:02,479 --> 00:02:59,639 regulation one five five phosphate 77 00:03:05,449 --> 00:03:02,489 carboxylase oxygenase and which is i'm 78 00:03:07,729 --> 00:03:05,459 getting very good at saying that it's an 79 00:03:10,580 --> 00:03:07,739 amazing enzyme right so I said 99% of 80 00:03:13,220 --> 00:03:10,590 all biologically fixed carbon is thought 81 00:03:15,619 --> 00:03:13,230 to go through this one enzyme they think 82 00:03:17,179 --> 00:03:15,629 it's ancient over three billion years 83 00:03:19,280 --> 00:03:17,189 old and you would think with over three 84 00:03:21,229 --> 00:03:19,290 billion years of evolution it would be 85 00:03:22,789 --> 00:03:21,239 very well adapted and good at what it 86 00:03:24,860 --> 00:03:22,799 does right now right but it's not 87 00:03:28,699 --> 00:03:24,870 it is terrible it is a terrible terrible 88 00:03:31,369 --> 00:03:28,709 enzyme it is really big it is really 89 00:03:34,729 --> 00:03:31,379 slow you need a high concentration of 90 00:03:36,740 --> 00:03:34,739 co2 around Rubisco for it to work and it 91 00:03:38,000 --> 00:03:36,750 is competitively inhibited by oxygen 92 00:03:41,360 --> 00:03:38,010 which is a challenge right in an 93 00:03:42,920 --> 00:03:41,370 oxygenated atmosphere and so the big 94 00:03:46,129 --> 00:03:42,930 question is why is this the enzyme of 95 00:03:50,930 --> 00:03:46,139 choice why is this how this planet fixes 96 00:03:52,699 --> 00:03:50,940 its carbon for life and so I want to 97 00:03:54,229 --> 00:03:52,709 introduce to you a couple of projects 98 00:03:55,849 --> 00:03:54,239 that my lab group is going through 99 00:03:57,830 --> 00:03:55,859 studying Rubisco in the diversity of 100 00:03:59,659 --> 00:03:57,840 Rubisco kinetics in modern species and 101 00:04:02,349 --> 00:03:59,669 well how that can help us inform this 102 00:04:04,369 --> 00:04:02,359 question and so I want to say that the 103 00:04:07,250 --> 00:04:04,379 one of the fundamental sort of the 104 00:04:10,580 --> 00:04:07,260 current consensus of why Rubisco isn't 105 00:04:13,309 --> 00:04:10,590 so much better than what each it is is 106 00:04:15,740 --> 00:04:13,319 because Rubisco is adapting it is 107 00:04:18,560 --> 00:04:15,750 evolving but it is biochemical 108 00:04:20,899 --> 00:04:18,570 biochemically constrained between how 109 00:04:22,700 --> 00:04:20,909 fast it can fix carbon and how specific 110 00:04:24,379 --> 00:04:22,710 it is for co2 and so what I'm showing 111 00:04:26,689 --> 00:04:24,389 you on the left-hand panel here is 112 00:04:28,370 --> 00:04:26,699 basically the speed of carboxylation 113 00:04:31,399 --> 00:04:28,380 which is the k-kat against its 114 00:04:33,019 --> 00:04:31,409 specificity for co2 / oxygen and you can 115 00:04:35,209 --> 00:04:33,029 see they generally fall across this line 116 00:04:36,170 --> 00:04:35,219 that the faster you can fix carbon the 117 00:04:38,270 --> 00:04:36,180 less specific you 118 00:04:40,550 --> 00:04:38,280 the co2 now the problem is as most of 119 00:04:41,720 --> 00:04:40,560 this data is based on plants because 120 00:04:43,430 --> 00:04:41,730 that's what people study it's really 121 00:04:44,150 --> 00:04:43,440 easy to go out and grab a plant these 122 00:04:47,120 --> 00:04:44,160 two outliers 123 00:04:48,080 --> 00:04:47,130 these are cyanobacteria all right and 124 00:04:50,390 --> 00:04:48,090 actually if we go into the marine 125 00:04:52,100 --> 00:04:50,400 environment and extract Rubisco is from 126 00:04:53,480 --> 00:04:52,110 a variety of different organisms and 127 00:04:55,430 --> 00:04:53,490 measure their abisco kinetics we see a 128 00:04:58,130 --> 00:04:55,440 remarkable diversity so that's the 129 00:05:00,440 --> 00:04:58,140 middle panel here and what I'm showing 130 00:05:02,810 --> 00:05:00,450 you on the y-axis is the KC this is the 131 00:05:04,820 --> 00:05:02,820 Hoff situation constant for co2 so the 132 00:05:06,710 --> 00:05:04,830 concentration of co2 you need to give 133 00:05:09,050 --> 00:05:06,720 half the maximum rate so a high scan 134 00:05:11,150 --> 00:05:09,060 means that you need a lot of co2 to 135 00:05:13,700 --> 00:05:11,160 saturate the enzyme a low km means it's 136 00:05:15,830 --> 00:05:13,710 very has a good affinity for co2 and 137 00:05:17,720 --> 00:05:15,840 then these are the values from bacteria 138 00:05:19,340 --> 00:05:17,730 diatoms which are really dominant 139 00:05:21,320 --> 00:05:19,350 phytoplankton group in the oceans and 140 00:05:23,390 --> 00:05:21,330 some red algae the plants and the 141 00:05:25,100 --> 00:05:23,400 cyanobacteria and you can see this 142 00:05:27,140 --> 00:05:25,110 variable response and I want to point 143 00:05:28,670 --> 00:05:27,150 out that this is a log scale on the 144 00:05:31,130 --> 00:05:28,680 y-axis alright so there's a truly 145 00:05:33,110 --> 00:05:31,140 dramatic range of Rubisco kinetics in 146 00:05:34,940 --> 00:05:33,120 these different organisms and if we take 147 00:05:36,670 --> 00:05:34,950 these diatoms which are dominant in the 148 00:05:39,860 --> 00:05:36,680 marine environment and plot their cans 149 00:05:41,690 --> 00:05:39,870 and carboxylation speeds on where we 150 00:05:43,810 --> 00:05:41,700 would expect them to fall so the grey is 151 00:05:46,400 --> 00:05:43,820 the expected relationship between 152 00:05:48,410 --> 00:05:46,410 carboxylation speed and affinity for co2 153 00:05:50,690 --> 00:05:48,420 and the diatoms are in black here and 154 00:05:52,010 --> 00:05:50,700 you can see they fall completely not on 155 00:05:53,570 --> 00:05:52,020 the line alright so we have a 156 00:05:56,240 --> 00:05:53,580 fundamental misunderstanding of how our 157 00:05:57,560 --> 00:05:56,250 Bisco works on our planet and the other 158 00:05:59,750 --> 00:05:57,570 thing is that these measurements are 159 00:06:01,430 --> 00:05:59,760 made at 25 degrees Celsius which is very 160 00:06:06,400 --> 00:06:01,440 relevant for plants they're not so 161 00:06:11,390 --> 00:06:08,620 so in the marine environment we get 162 00:06:16,780 --> 00:06:11,400 sorry don't need this out in the marine 163 00:06:20,510 --> 00:06:18,620 right you're gonna have to listen to it 164 00:06:23,300 --> 00:06:20,520 this is this is the GoPro going through 165 00:06:24,110 --> 00:06:23,310 the sea ice up in northern Alaska and I 166 00:06:27,140 --> 00:06:24,120 don't know if you can see it very well 167 00:06:28,400 --> 00:06:27,150 but this brown coloration on the bottom 168 00:06:30,260 --> 00:06:28,410 this is a metre and a half thick sea ice 169 00:06:31,790 --> 00:06:30,270 these are all diatoms growing within the 170 00:06:33,980 --> 00:06:31,800 bottom five centimetres of sea ice right 171 00:06:36,170 --> 00:06:33,990 it's an incredibly productive ecosystem 172 00:06:38,090 --> 00:06:36,180 it feeds everything out there these are 173 00:06:39,800 --> 00:06:38,100 microscopic organisms that just grow in 174 00:06:41,810 --> 00:06:39,810 these dense mats and this is at minus 175 00:06:43,580 --> 00:06:41,820 two degrees Celsius so we know that 176 00:06:46,910 --> 00:06:43,590 temperature has a big effect on how 177 00:06:48,950 --> 00:06:46,920 enzymes work and Rubisco is no exception 178 00:06:49,850 --> 00:06:48,960 and from what we can see extracting 179 00:06:52,040 --> 00:06:49,860 Rubisco from 180 00:06:53,749 --> 00:06:52,050 Paulo diet owns from warm species all 181 00:06:55,490 --> 00:06:53,759 these different things it doesn't look 182 00:06:57,379 --> 00:06:55,500 like Rubisco is cold-adapted which means 183 00:06:58,309 --> 00:06:57,389 Arco temperatures it slows down 184 00:07:00,379 --> 00:06:58,319 dramatically 185 00:07:03,529 --> 00:07:00,389 so in pink here I'm showing you the cup 186 00:07:06,110 --> 00:07:03,539 oxidation rate of which is on this axis 187 00:07:07,610 --> 00:07:06,120 here at 20 degrees and at 0 degrees 188 00:07:10,369 --> 00:07:07,620 Celsius and you get an Eightfold 189 00:07:12,260 --> 00:07:10,379 reduction of carbon fixation speed going 190 00:07:15,050 --> 00:07:12,270 from 20 to 0 degrees Celsius 191 00:07:17,480 --> 00:07:15,060 alright so it slows down a lot in 192 00:07:19,550 --> 00:07:17,490 addition the km the house situation 193 00:07:21,290 --> 00:07:19,560 constant goes from about 40 which don't 194 00:07:23,360 --> 00:07:21,300 on the it's in blue and it's shown on 195 00:07:25,490 --> 00:07:23,370 this axes here it goes from about 45 196 00:07:28,969 --> 00:07:25,500 down to 15 so it becomes more specific 197 00:07:33,080 --> 00:07:28,979 for co2 but it's really really slow and 198 00:07:34,969 --> 00:07:33,090 so polar diatoms at cold temperatures to 199 00:07:37,369 --> 00:07:34,979 compensate for the slow carboxylation 200 00:07:39,320 --> 00:07:37,379 rate they dramatically up regulate how 201 00:07:42,920 --> 00:07:39,330 much for Biscay they have and so this is 202 00:07:44,439 --> 00:07:42,930 a polar diatom species here grown in the 203 00:07:46,909 --> 00:07:44,449 lab could fragilaria up Cecil Andrus 204 00:07:49,159 --> 00:07:46,919 this is data from the field and 205 00:07:52,100 --> 00:07:49,169 Antarctica of a big diet on bloom at 206 00:07:53,899 --> 00:07:52,110 minus 2 degrees Celsius and they have 207 00:07:56,420 --> 00:07:53,909 about 16 percent of their total protein 208 00:07:58,909 --> 00:07:56,430 as Rubisco compared to only about 2.5 209 00:08:01,040 --> 00:07:58,919 percent at diatoms that grow at about 20 210 00:08:02,409 --> 00:08:01,050 degrees Celsius and this raises an 211 00:08:06,200 --> 00:08:02,419 interesting question on the theoretical 212 00:08:07,939 --> 00:08:06,210 how fast you can grow and fix carbon at 213 00:08:10,279 --> 00:08:07,949 cold temperatures because it's a 214 00:08:12,019 --> 00:08:10,289 combination of how fast the Rubisco 215 00:08:14,480 --> 00:08:12,029 enzyme works and then how much Rubisco 216 00:08:15,890 --> 00:08:14,490 can you actually make in your cell so it 217 00:08:19,790 --> 00:08:15,900 gives an interesting theoretical limit 218 00:08:21,379 --> 00:08:19,800 of how fast carbon can be fixed and so 219 00:08:23,119 --> 00:08:21,389 this work is being continued on I have 220 00:08:25,459 --> 00:08:23,129 two postdocs Ming Lee who's actually 221 00:08:26,809 --> 00:08:25,469 starting on Monday so we have all these 222 00:08:29,209 --> 00:08:26,819 Rubisco kinetic measurements over a 223 00:08:30,709 --> 00:08:29,219 range of temperatures he will be using 224 00:08:32,719 --> 00:08:30,719 membrane and mass spectrometry to 225 00:08:33,949 --> 00:08:32,729 measure carbon fixation of the whole 226 00:08:36,439 --> 00:08:33,959 cell over these different environments 227 00:08:38,449 --> 00:08:36,449 to try and get a good idea of wholesale 228 00:08:41,079 --> 00:08:38,459 carbon fixation rates and Rubisco 229 00:08:43,370 --> 00:08:41,089 kinetics and then Katrina Schmidt who 230 00:08:45,230 --> 00:08:43,380 she's not here today um but she is 231 00:08:46,759 --> 00:08:45,240 wandering around this week she is 232 00:08:48,860 --> 00:08:46,769 growing sea ice in the lab that we can 233 00:08:50,120 --> 00:08:48,870 grow algae in the sea ice so we get a 234 00:08:53,449 --> 00:08:50,130 lab environment that's much more 235 00:08:56,720 --> 00:08:53,459 representative of what we see out in the 236 00:08:58,730 --> 00:08:56,730 field so another project I want to talk 237 00:09:00,139 --> 00:08:58,740 about is looking at Rubisco 238 00:09:02,360 --> 00:09:00,149 fractionation so we just had a great 239 00:09:03,410 --> 00:09:02,370 talk on Delta C 13 and Rubisco 240 00:09:07,040 --> 00:09:03,420 fractionation 241 00:09:09,740 --> 00:09:07,050 and yes so a lot of the assumptions are 242 00:09:12,650 --> 00:09:09,750 that Rubisco fraction eights are 25 to 243 00:09:16,790 --> 00:09:12,660 29 per mil and once again this is based 244 00:09:18,650 --> 00:09:16,800 largely on literature on plants at 25 245 00:09:20,600 --> 00:09:18,660 degrees Celsius and so what I'm showing 246 00:09:22,730 --> 00:09:20,610 you here is a phylogenetic tree of all 247 00:09:25,220 --> 00:09:22,740 the different types of Rubisco that are 248 00:09:26,630 --> 00:09:25,230 found in different organisms I stole 249 00:09:30,590 --> 00:09:26,640 this tree from you cannot see probably 250 00:09:32,510 --> 00:09:30,600 but it's cushaw Bettles paper so these 251 00:09:34,040 --> 00:09:32,520 are the different types of Rubisco I've 252 00:09:35,930 --> 00:09:34,050 matched it up with in different 253 00:09:38,150 --> 00:09:35,940 organisms that have these different 254 00:09:40,490 --> 00:09:38,160 types of Rubisco and so plants all have 255 00:09:42,680 --> 00:09:40,500 this form 1b but in the marine 256 00:09:44,720 --> 00:09:42,690 environment we actually have most of 257 00:09:47,390 --> 00:09:44,730 them the eukaryotic phytoplankton have 258 00:09:49,670 --> 00:09:47,400 form C D right so a lot of diatoms cook 259 00:09:51,260 --> 00:09:49,680 ELISA floors have this seedy group and 260 00:09:53,570 --> 00:09:51,270 then there's cyanobacteria some have 1a 261 00:09:55,220 --> 00:09:53,580 so that won't be there's very few 262 00:09:56,990 --> 00:09:55,230 measurements that have been taken are 263 00:09:58,580 --> 00:09:57,000 the ones that have been measured and 264 00:10:00,830 --> 00:09:58,590 published I've shown on the right-hand 265 00:10:02,420 --> 00:10:00,840 panel here I want to reiterate I forgot 266 00:10:03,830 --> 00:10:02,430 to put the references up this is not my 267 00:10:05,780 --> 00:10:03,840 research this is a compilation of 268 00:10:07,700 --> 00:10:05,790 literature by a whole bunch of different 269 00:10:09,530 --> 00:10:07,710 people so if but I have the list so if 270 00:10:10,820 --> 00:10:09,540 anyone wants a specific number I can 271 00:10:13,190 --> 00:10:10,830 tell you who did the research and which 272 00:10:15,080 --> 00:10:13,200 paper it is but what's interesting is we 273 00:10:17,090 --> 00:10:15,090 only have three measurements from marine 274 00:10:19,520 --> 00:10:17,100 eukaryotic phytoplankton and they are 275 00:10:22,340 --> 00:10:19,530 hugely variable ie hooks as the value of 276 00:10:25,310 --> 00:10:22,350 11 per mil a diatom has 18 a red algae 277 00:10:26,900 --> 00:10:25,320 has 30 is this dramatic difference of 278 00:10:29,000 --> 00:10:26,910 Rubisco fractionation from these 279 00:10:31,550 --> 00:10:29,010 different types of old from film CD 280 00:10:33,050 --> 00:10:31,560 Rubisco so we need to look into this a 281 00:10:35,480 --> 00:10:33,060 little bit further so my grad student 282 00:10:36,920 --> 00:10:35,490 Susan who's in the audience is working 283 00:10:39,770 --> 00:10:36,930 on extracting Rubisco measuring the 284 00:10:41,060 --> 00:10:39,780 isotopic fractionation so if you have 285 00:10:45,020 --> 00:10:41,070 any questions definitely go talk to her 286 00:10:47,990 --> 00:10:45,030 and the last thing I want to talk about 287 00:10:50,240 --> 00:10:48,000 today is looking at Rubisco in even more 288 00:10:51,740 --> 00:10:50,250 extreme environments than in sea ice and 289 00:10:54,860 --> 00:10:51,750 so I want to go back to these cry pegs 290 00:10:56,630 --> 00:10:54,870 that Jody Deming was talking about and 291 00:10:58,700 --> 00:10:56,640 she already mentioned that we found 292 00:11:02,240 --> 00:10:58,710 Rubisco in there so you've stolen might 293 00:11:04,400 --> 00:11:02,250 my story but yeah it's for these cry 294 00:11:06,530 --> 00:11:04,410 fakes are truly amazing environments 295 00:11:07,730 --> 00:11:06,540 right they are ancient marine sediments 296 00:11:10,490 --> 00:11:07,740 for those that went here for Jody's 297 00:11:12,920 --> 00:11:10,500 chocolate I think most people were they 298 00:11:14,660 --> 00:11:12,930 are ancient marine sediments trapped 299 00:11:17,360 --> 00:11:14,670 within the permafrost today are really 300 00:11:19,939 --> 00:11:17,370 cold about minus 8 degrees Celsius that 301 00:11:22,850 --> 00:11:19,949 they're anoxic there anywhere between 14 302 00:11:25,519 --> 00:11:22,860 to 40,000 years old right and they are 303 00:11:27,620 --> 00:11:25,529 filled with bacteria they are filled 304 00:11:29,920 --> 00:11:27,630 with organic carbons so the vast 305 00:11:32,749 --> 00:11:29,930 majority of the bacteria in there are 306 00:11:34,999 --> 00:11:32,759 heterotrophs but we wanted to see if 307 00:11:36,829 --> 00:11:35,009 there were Rubisco and so once again 308 00:11:39,829 --> 00:11:36,839 this work was done by JC who is JD 309 00:11:41,900 --> 00:11:39,839 Demmings postdoc these are metagenomic 310 00:11:44,540 --> 00:11:41,910 samples from different car i peg samples 311 00:11:48,379 --> 00:11:44,550 that they took and these are Rubisco 312 00:11:49,850 --> 00:11:48,389 genes and their associated bacteria up 313 00:11:51,379 --> 00:11:49,860 here so we see this wide diversity 314 00:11:53,449 --> 00:11:51,389 they're not in high abundance these 315 00:11:55,160 --> 00:11:53,459 genes but they're definitely present in 316 00:11:57,259 --> 00:11:55,170 the Crytek's carbon fixation is 317 00:11:59,090 --> 00:11:57,269 happening and one bug I wanted to pull 318 00:12:01,400 --> 00:11:59,100 out in particular because this one kept 319 00:12:03,139 --> 00:12:01,410 coming up is this gamma proteobacteria 320 00:12:04,850 --> 00:12:03,149 could thio microsphere arctic air which 321 00:12:07,699 --> 00:12:04,860 I stole this picture from this paper 322 00:12:10,579 --> 00:12:07,709 it's an obligate camo letter autotroph 323 00:12:13,069 --> 00:12:10,589 it's sulfur oxidizing it has two Rubisco 324 00:12:15,050 --> 00:12:13,079 so it has a form one and a form two now 325 00:12:16,910 --> 00:12:15,060 lots of prettier bacteria can have two 326 00:12:19,910 --> 00:12:16,920 different types of Rubisco but generally 327 00:12:21,650 --> 00:12:19,920 the form one is expressed under oxic 328 00:12:23,059 --> 00:12:21,660 environments the form two is expressed 329 00:12:25,670 --> 00:12:23,069 under anoxic environments because they 330 00:12:27,769 --> 00:12:25,680 have different kinetics why this guy in 331 00:12:30,530 --> 00:12:27,779 this very stable ancient environment is 332 00:12:32,000 --> 00:12:30,540 keeping these two Rubisco 'he's might be 333 00:12:35,030 --> 00:12:32,010 a really cool thing to look at to 334 00:12:38,480 --> 00:12:35,040 understand how gene evolution works in 335 00:12:41,540 --> 00:12:38,490 these extreme environments so just to 336 00:12:43,400 --> 00:12:41,550 round it up yeah 99% of all biologically 337 00:12:46,069 --> 00:12:43,410 fixed carbon goes through Rubisco is 338 00:12:48,889 --> 00:12:46,079 this amazing ancient enzyme and by 339 00:12:50,840 --> 00:12:48,899 studying the kinetics the adaptation the 340 00:12:52,250 --> 00:12:50,850 evolution the diversity of Rubisco in 341 00:12:55,250 --> 00:12:52,260 all these different organisms and 342 00:12:56,449 --> 00:12:55,260 environments in the modern planet we can 343 00:12:58,879 --> 00:12:56,459 get a really good idea of trying to 344 00:13:01,040 --> 00:12:58,889 reconstruct how evolution adaptation 345 00:13:04,189 --> 00:13:01,050 autotrophic carbon fixation has evolved 346 00:13:05,420 --> 00:13:04,199 on the planet and just to say thank you 347 00:13:08,540 --> 00:13:05,430 obviously this work was a big 348 00:13:10,100 --> 00:13:08,550 compilation of lots of people so hannah 349 00:13:12,590 --> 00:13:10,110 dawson actually is my grad student she 350 00:13:15,800 --> 00:13:12,600 gave a talk yesterday on sea ice algal 351 00:13:18,230 --> 00:13:15,810 metabolism using metabolomics we have 352 00:13:20,720 --> 00:13:18,240 Susan and Catrin the Deming lab group 353 00:13:22,040 --> 00:13:20,730 and these are my funding bodies so yeah 354 00:13:26,590 --> 00:13:22,050 thank you very much and I'll take any 355 00:13:33,970 --> 00:13:29,480 Thank You Jody oh maybe one quick 356 00:13:40,460 --> 00:13:37,790 and Tony Murray from Georgia Tech so you 357 00:13:42,520 --> 00:13:40,470 said that there's a bunch that sort of 358 00:13:46,190 --> 00:13:42,530 lie on this nice trade-off line between 359 00:13:47,690 --> 00:13:46,200 speed and the specificity and whatnot 360 00:13:49,210 --> 00:13:47,700 but there's these others that don't and 361 00:13:52,130 --> 00:13:49,220 then you mentioned that temperature 362 00:13:55,000 --> 00:13:52,140 changes the numbers are thing that maybe 363 00:13:58,310 --> 00:13:55,010 ones that don't follow a nice trade-off 364 00:14:00,350 --> 00:13:58,320 might either because might be trading 365 00:14:01,730 --> 00:14:00,360 off with something else like I'm not 366 00:14:03,290 --> 00:14:01,740 necessarily temperature but something 367 00:14:05,810 --> 00:14:03,300 else but another dimension that like 368 00:14:08,060 --> 00:14:05,820 that like maybe the trade offline is 369 00:14:10,040 --> 00:14:08,070 just a slice of a trade off plane or 370 00:14:11,330 --> 00:14:10,050 something like that yeah no it's a good 371 00:14:12,920 --> 00:14:11,340 question I think there's obviously a lot 372 00:14:15,260 --> 00:14:12,930 more complexity there that we don't 373 00:14:17,690 --> 00:14:15,270 fully understand yet the trade offline I 374 00:14:19,460 --> 00:14:17,700 showed you all those that was all 375 00:14:21,710 --> 00:14:19,470 measurements taken at 25 degrees Celsius 376 00:14:23,060 --> 00:14:21,720 so all those ones were like the standard 377 00:14:25,070 --> 00:14:23,070 when you measure a biscuit kinetics it's 378 00:14:27,080 --> 00:14:25,080 25 so you can compare everything yeah 379 00:14:29,600 --> 00:14:27,090 but yeah obviously they don't function 380 00:14:31,490 --> 00:14:29,610 at 25 degrees Celsius all of them and so 381 00:14:32,930 --> 00:14:31,500 they've evolved to different co2 382 00:14:35,960 --> 00:14:32,940 environments to different temperatures 383 00:14:37,430 --> 00:14:35,970 different salinities all sorts of pH you 384 00:14:39,530 --> 00:14:37,440 know there's a whole myriad of different 385 00:14:41,000 --> 00:14:39,540 things we could look at and it hasn't 386 00:14:42,410 --> 00:14:41,010 really been explored yet so that's