1 00:00:06,230 --> 00:00:04,230 hello my name is teddy harriman i'm a 2 00:00:08,390 --> 00:00:06,240 first year grad student in the chemistry 3 00:00:09,990 --> 00:00:08,400 and biochemistry department at montana 4 00:00:11,830 --> 00:00:10,000 state university 5 00:00:14,390 --> 00:00:11,840 today i will be discussing the 6 00:00:17,349 --> 00:00:14,400 comparative complexity of cells in 7 00:00:18,950 --> 00:00:17,359 particular the complexity of microbes 8 00:00:22,470 --> 00:00:18,960 so that is the difference between 9 00:00:24,790 --> 00:00:22,480 prokaryotes archaea and bacteria versus 10 00:00:27,029 --> 00:00:24,800 eukaryotes but more specifically in this 11 00:00:29,750 --> 00:00:27,039 case protists the single celled version 12 00:00:34,470 --> 00:00:31,990 now i would argue that the goals of 13 00:00:37,270 --> 00:00:34,480 measuring complexity or comparing it 14 00:00:38,950 --> 00:00:37,280 between cells are at least two faceted 15 00:00:40,869 --> 00:00:38,960 the first component would be to 16 00:00:42,549 --> 00:00:40,879 constrain phylogenys 17 00:00:45,430 --> 00:00:42,559 at the moment there are three to four 18 00:00:47,350 --> 00:00:45,440 phylogenys that are cited the difference 19 00:00:49,910 --> 00:00:47,360 between these phylogenys are not just 20 00:00:52,950 --> 00:00:49,920 their results but the methodologies that 21 00:00:55,750 --> 00:00:52,960 they use for instance many use amino 22 00:00:57,189 --> 00:00:55,760 acid sequence comparisons some compare 23 00:00:59,990 --> 00:00:57,199 protein folds 24 00:01:01,910 --> 00:01:00,000 other compare information content so on 25 00:01:04,310 --> 00:01:01,920 and so forth the issue that they all 26 00:01:06,310 --> 00:01:04,320 seem to have is how to appropriately 27 00:01:09,590 --> 00:01:06,320 quote unquote root the tree 28 00:01:12,630 --> 00:01:09,600 which is to say which uh where do cells 29 00:01:15,350 --> 00:01:12,640 line up in terms of being in relation to 30 00:01:17,590 --> 00:01:15,360 a last universal cellular ancestor and 31 00:01:19,830 --> 00:01:17,600 how are they specifically related to 32 00:01:22,070 --> 00:01:19,840 each other evolutionarily 33 00:01:25,109 --> 00:01:22,080 on top of this there's an issue of 34 00:01:27,990 --> 00:01:25,119 adding viruses into the domains and 35 00:01:30,230 --> 00:01:28,000 figuring out where they fit 36 00:01:32,390 --> 00:01:30,240 within the tree of life the big issue 37 00:01:33,910 --> 00:01:32,400 here of course is viral genomes are so 38 00:01:36,630 --> 00:01:33,920 small that even if you're comparing 39 00:01:38,310 --> 00:01:36,640 amino acids or protein folds there's not 40 00:01:41,109 --> 00:01:38,320 a great way to compare them to the much 41 00:01:43,030 --> 00:01:41,119 larger genomes of cells 42 00:01:44,789 --> 00:01:43,040 now the second one which is especially 43 00:01:47,270 --> 00:01:44,799 important for origins of life is to 44 00:01:50,550 --> 00:01:47,280 constrain identity and properties of the 45 00:01:53,030 --> 00:01:50,560 progenites versus the last 46 00:01:55,350 --> 00:01:53,040 universal cellular ancestor 47 00:01:58,469 --> 00:01:55,360 which is to say can we say something 48 00:02:01,270 --> 00:01:58,479 about the simplicity and or complexity 49 00:02:03,910 --> 00:02:01,280 of luca and identify which biological 50 00:02:06,709 --> 00:02:03,920 features are quote unquote simple and or 51 00:02:09,589 --> 00:02:06,719 complex and therefore should be expected 52 00:02:11,910 --> 00:02:09,599 as the first form of life 53 00:02:14,070 --> 00:02:11,920 with this in mind i want to discuss some 54 00:02:16,710 --> 00:02:14,080 assumptions of biological complexity 55 00:02:19,190 --> 00:02:16,720 that are either implicitly or explicitly 56 00:02:21,510 --> 00:02:19,200 stated within the literature 57 00:02:23,910 --> 00:02:21,520 the first and foremost which is very key 58 00:02:26,229 --> 00:02:23,920 to origins of life in astrobiology is 59 00:02:28,630 --> 00:02:26,239 the idea that complexity increases over 60 00:02:30,550 --> 00:02:28,640 time which is to say we assume that the 61 00:02:32,949 --> 00:02:30,560 ancestral biosphere 62 00:02:35,750 --> 00:02:32,959 is less complex in a measurable way than 63 00:02:38,150 --> 00:02:35,760 the present biosphere and that ancestral 64 00:02:40,150 --> 00:02:38,160 organisms are also less complex than 65 00:02:42,150 --> 00:02:40,160 present day organisms 66 00:02:44,390 --> 00:02:42,160 with some numeric value of complexity 67 00:02:46,150 --> 00:02:44,400 assigned 68 00:02:49,030 --> 00:02:46,160 the second component is that life is 69 00:02:51,030 --> 00:02:49,040 complex so we assume traditionally that 70 00:02:53,350 --> 00:02:51,040 non-life is less complex than life and 71 00:02:58,390 --> 00:02:53,360 that this is a key identifier of what is 72 00:03:02,949 --> 00:03:00,630 as i alluded to it's important to have 73 00:03:05,509 --> 00:03:02,959 an exact mathematical definition for 74 00:03:07,110 --> 00:03:05,519 what you mean when you say complex 75 00:03:09,110 --> 00:03:07,120 in this case i'm going to be using what 76 00:03:11,270 --> 00:03:09,120 i call temporal information density or 77 00:03:12,630 --> 00:03:11,280 tid which is the amount of shannon 78 00:03:14,630 --> 00:03:12,640 information 79 00:03:16,869 --> 00:03:14,640 it takes to describe an object whether 80 00:03:19,430 --> 00:03:16,879 that's a biological object like a cell 81 00:03:22,070 --> 00:03:19,440 or other inanimate object divided by 82 00:03:23,509 --> 00:03:22,080 that object's overall mass 83 00:03:26,390 --> 00:03:23,519 times the amount of time you are 84 00:03:28,309 --> 00:03:26,400 actually looking at that object 85 00:03:30,830 --> 00:03:28,319 now the units for that would be number 86 00:03:32,550 --> 00:03:30,840 of bits per gram 87 00:03:34,630 --> 00:03:32,560 second 88 00:03:35,990 --> 00:03:34,640 for simplicity's sake bits you can think 89 00:03:38,630 --> 00:03:36,000 of how much 90 00:03:39,830 --> 00:03:38,640 uh space it would take to describe that 91 00:03:41,910 --> 00:03:39,840 object 92 00:03:43,670 --> 00:03:41,920 on a hard drive divided by its actual 93 00:03:46,390 --> 00:03:43,680 physical size 94 00:03:47,670 --> 00:03:46,400 so implicit in this 95 00:03:50,470 --> 00:03:47,680 derivation 96 00:03:52,550 --> 00:03:50,480 is the idea that size is just size and 97 00:03:55,190 --> 00:03:52,560 something can be big and simply big and 98 00:03:57,509 --> 00:03:55,200 not necessarily complex so for instance 99 00:03:59,589 --> 00:03:57,519 if i were comparing computers 100 00:04:00,949 --> 00:03:59,599 i would be first curious to know how 101 00:04:03,110 --> 00:04:00,959 much information it would take to 102 00:04:05,030 --> 00:04:03,120 describe that computer and then i would 103 00:04:07,350 --> 00:04:05,040 want to divide it by the computer's 104 00:04:09,830 --> 00:04:07,360 overall size which is to say the 105 00:04:12,710 --> 00:04:09,840 smallest computer that can 106 00:04:14,390 --> 00:04:12,720 produces the same functionality 107 00:04:15,830 --> 00:04:14,400 with the same amount of information to 108 00:04:19,990 --> 00:04:15,840 describe it 109 00:04:24,710 --> 00:04:22,069 now to understand the difference between 110 00:04:26,150 --> 00:04:24,720 prokaryote and protist complexity it is 111 00:04:29,110 --> 00:04:26,160 important to understand the history and 112 00:04:30,870 --> 00:04:29,120 the context of where claims come from i 113 00:04:33,270 --> 00:04:30,880 would argue the first 114 00:04:35,749 --> 00:04:33,280 statement of prokaryotes being simpler 115 00:04:38,230 --> 00:04:35,759 than protists began with edward chattan 116 00:04:41,189 --> 00:04:38,240 in 1925 when he first coined the terms 117 00:04:42,469 --> 00:04:41,199 prokaryote and eukaryote in those terms 118 00:04:44,469 --> 00:04:42,479 prokaryote 119 00:04:47,430 --> 00:04:44,479 is greek for essentially before the 120 00:04:49,189 --> 00:04:47,440 nucleus and protis means true nucleus 121 00:04:50,550 --> 00:04:49,199 and that he established one became 122 00:04:52,629 --> 00:04:50,560 before the other 123 00:04:55,430 --> 00:04:52,639 and also implicitly and to a certain 124 00:04:57,510 --> 00:04:55,440 degree explicitly implied that this was 125 00:05:00,230 --> 00:04:57,520 because prokaryotes were simpler which 126 00:05:02,710 --> 00:05:00,240 based on his microscopy made a lot of 127 00:05:06,710 --> 00:05:05,029 since that time 128 00:05:10,070 --> 00:05:06,720 a number of other measurements have been 129 00:05:12,710 --> 00:05:10,080 used to claim protus higher complexity 130 00:05:13,909 --> 00:05:12,720 among them are larger genomes slash more 131 00:05:16,310 --> 00:05:13,919 proteins 132 00:05:18,390 --> 00:05:16,320 the issue of course is known today that 133 00:05:21,270 --> 00:05:18,400 if we were to assume that this is the 134 00:05:23,430 --> 00:05:21,280 case you'll have many logical fallacies 135 00:05:27,270 --> 00:05:23,440 such as human beings would be less 136 00:05:31,189 --> 00:05:29,110 somewhat more recently information 137 00:05:32,870 --> 00:05:31,199 content has been used to claim 138 00:05:34,950 --> 00:05:32,880 complexity 139 00:05:37,590 --> 00:05:34,960 in at least two examples with sample 140 00:05:39,510 --> 00:05:37,600 sizes under 141 00:05:41,590 --> 00:05:39,520 two authors have claimed that total 142 00:05:44,550 --> 00:05:41,600 information content can be used to 143 00:05:46,950 --> 00:05:44,560 measure something's complexity however i 144 00:05:49,110 --> 00:05:46,960 will mention that even kunin in his 145 00:05:51,270 --> 00:05:49,120 paper along these lines mentioned that 146 00:05:53,909 --> 00:05:51,280 prokaryotes appeared admittedly better 147 00:05:57,110 --> 00:05:55,189 the third 148 00:05:59,350 --> 00:05:57,120 way that people claim complexity that 149 00:06:01,990 --> 00:05:59,360 i've at least found is that it's because 150 00:06:03,670 --> 00:06:02,000 eukaryotes have organelles whereas 151 00:06:05,430 --> 00:06:03,680 prokaryotes do not 152 00:06:07,830 --> 00:06:05,440 this today we know not to be true 153 00:06:09,749 --> 00:06:07,840 prokaryotes do in fact have organelles 154 00:06:11,830 --> 00:06:09,759 it seems the large difference between 155 00:06:14,150 --> 00:06:11,840 the types of organelles they have is 156 00:06:16,550 --> 00:06:14,160 that protein uh prokaryotes tend to have 157 00:06:18,309 --> 00:06:16,560 protein-based organization whereas 158 00:06:21,510 --> 00:06:18,319 eukaryotes depend heavily on their 159 00:06:23,350 --> 00:06:21,520 lipid-based organization 160 00:06:25,670 --> 00:06:23,360 and finally and 161 00:06:28,629 --> 00:06:25,680 is the idea that you can associate 162 00:06:30,870 --> 00:06:28,639 eukaryotic multi-cellularity to protist 163 00:06:33,510 --> 00:06:30,880 complexity in the sense that protists 164 00:06:35,510 --> 00:06:33,520 could have the potential to evolve into 165 00:06:39,270 --> 00:06:35,520 multicellular organisms whereas 166 00:06:41,110 --> 00:06:39,280 prokaryotes can only superficially do so 167 00:06:43,189 --> 00:06:41,120 this last point should be addressed 168 00:06:45,350 --> 00:06:43,199 further and can be addressed from a 169 00:06:47,430 --> 00:06:45,360 simple thought experiment which is could 170 00:06:50,469 --> 00:06:47,440 multicellularity evolve in the absence 171 00:06:52,629 --> 00:06:50,479 of prokaryotes the answer is no 172 00:06:55,749 --> 00:06:52,639 at least from an ecosystem in biospheric 173 00:06:57,830 --> 00:06:55,759 perspective multicellular eukaryotes are 174 00:07:00,150 --> 00:06:57,840 two component machines 175 00:07:02,150 --> 00:07:00,160 this has been addressed by the idea that 176 00:07:04,830 --> 00:07:02,160 if we were to eliminate all the 177 00:07:08,629 --> 00:07:04,840 prokaryotes on earth today 178 00:07:10,070 --> 00:07:08,639 biogeochemical cycles nitrogen fixation 179 00:07:11,909 --> 00:07:10,080 uh and 180 00:07:15,110 --> 00:07:11,919 many of the phages that we have that 181 00:07:16,070 --> 00:07:15,120 regulate our ecosystems would disappear 182 00:07:18,150 --> 00:07:16,080 and 183 00:07:21,029 --> 00:07:18,160 in particular with the loss of nitrogen 184 00:07:23,189 --> 00:07:21,039 fixation you could expect photosynthesis 185 00:07:25,110 --> 00:07:23,199 to die out within a year 186 00:07:27,110 --> 00:07:25,120 on top of this there's an even older 187 00:07:28,870 --> 00:07:27,120 idea which is the energy pyramid 188 00:07:30,909 --> 00:07:28,880 sometimes known as the trophic energy 189 00:07:33,110 --> 00:07:30,919 pyramid which is to say that 190 00:07:34,629 --> 00:07:33,120 multicellularity is regulated from the 191 00:07:36,390 --> 00:07:34,639 bottom up 192 00:07:38,309 --> 00:07:36,400 if we were to take prokaryotes out of 193 00:07:40,469 --> 00:07:38,319 the picture and be left entirely with 194 00:07:42,550 --> 00:07:40,479 protists as well addressed a bit more on 195 00:07:45,350 --> 00:07:42,560 the next slide there would not be enough 196 00:07:49,270 --> 00:07:45,360 energy for multicellularity to both 197 00:07:53,909 --> 00:07:51,510 now there are in fact some reasons to 198 00:07:56,710 --> 00:07:53,919 assume that the dogma of 199 00:07:59,830 --> 00:07:56,720 prokaryotes simplicity in comparison to 200 00:08:01,990 --> 00:07:59,840 protists might actually be incorrect 201 00:08:03,909 --> 00:08:02,000 first and foremost is that protist 202 00:08:06,309 --> 00:08:03,919 adaptability is not as good as 203 00:08:07,830 --> 00:08:06,319 prokaryotes ability to adapt 204 00:08:10,469 --> 00:08:07,840 how this could be measured is by the 205 00:08:12,390 --> 00:08:10,479 number of niches that protists occupy in 206 00:08:14,550 --> 00:08:12,400 comparison to prokaryotes 207 00:08:16,390 --> 00:08:14,560 what do i mean by niche i mean the 208 00:08:18,150 --> 00:08:16,400 number of environments they inhabit and 209 00:08:19,749 --> 00:08:18,160 also the metabolisms that they are 210 00:08:22,629 --> 00:08:19,759 actually capable of 211 00:08:24,790 --> 00:08:22,639 so for instance prokaryotes are abundant 212 00:08:26,790 --> 00:08:24,800 within deep sea hydrothermal vents 213 00:08:28,710 --> 00:08:26,800 whereas at least single-celled 214 00:08:30,390 --> 00:08:28,720 eukaryotes are unable to live in that 215 00:08:32,870 --> 00:08:30,400 such environments 216 00:08:35,589 --> 00:08:32,880 in addition while protists only have 217 00:08:37,909 --> 00:08:35,599 access to respiration and photosynthesis 218 00:08:39,909 --> 00:08:37,919 as far as we know prokaryotes have many 219 00:08:41,670 --> 00:08:39,919 other forms of metabolisms that allow 220 00:08:42,790 --> 00:08:41,680 them to access other environmental 221 00:08:45,670 --> 00:08:42,800 niches 222 00:08:47,829 --> 00:08:45,680 as a side comparison to this as well it 223 00:08:49,750 --> 00:08:47,839 is pretty uh well accepted that 224 00:08:51,829 --> 00:08:49,760 prokaryotes are more adaptable in the 225 00:08:54,070 --> 00:08:51,839 sense that we can also throw them into 226 00:08:56,150 --> 00:08:54,080 say the vacuum of space and they will be 227 00:08:58,150 --> 00:08:56,160 able to adapt at least to a certain 228 00:08:59,829 --> 00:08:58,160 extent 229 00:09:02,550 --> 00:08:59,839 the second point is that protis 230 00:09:04,310 --> 00:09:02,560 metabolic speed is less than prokaryotic 231 00:09:06,070 --> 00:09:04,320 metabolic speed 232 00:09:08,710 --> 00:09:06,080 and this is true for both respiration 233 00:09:10,870 --> 00:09:08,720 and photosynthesis by mass 234 00:09:13,350 --> 00:09:10,880 now if you are to accept that 235 00:09:15,190 --> 00:09:13,360 dissipation of energy as many do within 236 00:09:16,949 --> 00:09:15,200 the astrobiological community is 237 00:09:19,350 --> 00:09:16,959 fundamental to life 238 00:09:22,070 --> 00:09:19,360 then it would seem odd that the species 239 00:09:23,750 --> 00:09:22,080 that is slower at dissipating energy 240 00:09:24,870 --> 00:09:23,760 would be determined as being more 241 00:09:26,470 --> 00:09:24,880 complex 242 00:09:29,430 --> 00:09:26,480 in total with both of these we could 243 00:09:31,430 --> 00:09:29,440 almost assume that adaptability and 244 00:09:34,389 --> 00:09:31,440 dissipation of energy are not actually 245 00:09:36,310 --> 00:09:34,399 very much fundamental to biology and or 246 00:09:39,430 --> 00:09:36,320 they're not fundamental biological 247 00:09:42,710 --> 00:09:39,440 indicators of evolution 248 00:09:44,630 --> 00:09:42,720 last but not least that uh protist bio 249 00:09:47,269 --> 00:09:44,640 chemical tid is potentially lower than 250 00:09:48,870 --> 00:09:47,279 prokaryotic biochemical tid tid of 251 00:09:51,670 --> 00:09:48,880 course being the measurement of 252 00:09:53,750 --> 00:09:51,680 complexity i presented earlier 253 00:09:55,910 --> 00:09:53,760 i can gauge this by the lower proportion 254 00:09:57,350 --> 00:09:55,920 of lipids and lipid organization within 255 00:09:59,990 --> 00:09:57,360 prokaryotes 256 00:10:02,310 --> 00:10:00,000 lipids by even bochner were entirely 257 00:10:03,750 --> 00:10:02,320 left out of his mathematical formulation 258 00:10:05,590 --> 00:10:03,760 because they were considered to 259 00:10:09,750 --> 00:10:05,600 entropically 260 00:10:15,190 --> 00:10:12,710 in conclusion complexity deserves to not 261 00:10:16,790 --> 00:10:15,200 just be an abstraction but a numerical 262 00:10:18,550 --> 00:10:16,800 value that we can use to compare 263 00:10:20,550 --> 00:10:18,560 biological entities as well as 264 00:10:22,949 --> 00:10:20,560 non-biological entities 265 00:10:25,110 --> 00:10:22,959 and so doing so we might be able to have 266 00:10:26,870 --> 00:10:25,120 a better understanding of how life 267 00:10:28,550 --> 00:10:26,880 evolves and potentially what life 268 00:10:30,069 --> 00:10:28,560 evolved from 269 00:10:32,389 --> 00:10:30,079 as it stands there's a darth of 270 00:10:34,630 --> 00:10:32,399 literature in regards to biological 271 00:10:38,470 --> 00:10:34,640 complexity there's even less literature 272 00:10:40,389 --> 00:10:38,480 that actively compares living organisms 273 00:10:42,069 --> 00:10:40,399 at the moment there also appears to be 274 00:10:45,110 --> 00:10:42,079 some indicators of fundamental 275 00:10:48,550 --> 00:10:45,120 biological ideas that indicate that it 276 00:10:50,790 --> 00:10:48,560 is possible that prokaryotes are in fact 277 00:10:52,550 --> 00:10:50,800 just as complex if not more complex than 278 00:10:54,470 --> 00:10:52,560 protists 279 00:10:57,509 --> 00:10:54,480 i thank you for your time if you have 280 00:10:59,269 --> 00:10:57,519 any information regarding complexity 281 00:11:01,750 --> 00:10:59,279 context i might have missed and or would 282 00:11:03,990 --> 00:11:01,760 like to discuss prokaryotic complexity