1 00:00:10,940 --> 00:00:08,059 today I'm going to talk about a very 2 00:00:16,129 --> 00:00:10,950 interesting behavior of those solving 3 00:00:17,630 --> 00:00:16,139 microbes and then well before I started 4 00:00:21,019 --> 00:00:17,640 I would like to thank all my 5 00:00:23,630 --> 00:00:21,029 collaborators my lab mates or the grants 6 00:00:25,730 --> 00:00:23,640 support this project particularly AB 7 00:00:31,279 --> 00:00:25,740 grant committee to give me the chance to 8 00:00:36,049 --> 00:00:31,289 present here so this story besides the 9 00:00:40,930 --> 00:00:36,059 original of life it's more than like how 10 00:00:44,000 --> 00:00:40,940 life could adapt to beyond the earth 11 00:00:47,360 --> 00:00:44,010 particularly we already have the 12 00:00:51,490 --> 00:00:47,370 evidence that on Mars we have found the 13 00:00:54,229 --> 00:00:51,500 liquid water in the brine deposit so 14 00:00:59,950 --> 00:00:54,239 make this so loving microbes could be 15 00:01:05,479 --> 00:00:59,960 the very promising candidate to survivor 16 00:01:09,710 --> 00:01:05,489 clients are like for example Mars so on 17 00:01:14,630 --> 00:01:09,720 the earth actually we already are simple 18 00:01:18,050 --> 00:01:14,640 der study this micro communities all all 19 00:01:21,560 --> 00:01:18,060 over the world and then we call this if 20 00:01:24,770 --> 00:01:21,570 you're not familiar hello files so the 21 00:01:27,260 --> 00:01:24,780 whole group of microbes called and here 22 00:01:30,649 --> 00:01:27,270 is an example what are this kind of 23 00:01:33,370 --> 00:01:30,659 habitat looks like so this area connect 24 00:01:37,039 --> 00:01:33,380 to the sea water with relative low 25 00:01:41,240 --> 00:01:37,049 concentration of the salinity and this 26 00:01:44,420 --> 00:01:41,250 area is a red color area have a high 27 00:01:46,580 --> 00:01:44,430 salt concentration and this color is 28 00:01:51,170 --> 00:01:46,590 meaning because of those microbes living 29 00:01:54,410 --> 00:01:51,180 this region and this small area is 30 00:01:59,440 --> 00:01:54,420 artificial source and pan so evaporate 31 00:02:02,030 --> 00:01:59,450 the liquid water to extract salt so 32 00:02:04,459 --> 00:02:02,040 normally those region will have the 33 00:02:07,100 --> 00:02:04,469 concentration gradient in some of those 34 00:02:09,380 --> 00:02:07,110 pant or have a really high concentration 35 00:02:12,040 --> 00:02:09,390 you can see they already started to 36 00:02:13,880 --> 00:02:12,050 crystallize the crust all those 37 00:02:17,260 --> 00:02:13,890 concentration gradient 38 00:02:19,940 --> 00:02:17,270 the hell file communities have been fund 39 00:02:22,340 --> 00:02:19,950 so one of the challenge for those 40 00:02:27,220 --> 00:02:22,350 microbes survive in this type of 41 00:02:31,510 --> 00:02:27,230 environment is resource limitation okay 42 00:02:34,150 --> 00:02:31,520 however ah there's a one potential 43 00:02:37,370 --> 00:02:34,160 resources might be available for them 44 00:02:41,150 --> 00:02:37,380 which is the extracellular DNA molecule 45 00:02:43,970 --> 00:02:41,160 so if we think about DNA molecules we 46 00:02:47,060 --> 00:02:43,980 first will think they are genetic 47 00:02:50,920 --> 00:02:47,070 information carrier but actually as the 48 00:02:55,160 --> 00:02:50,930 large organic molecules there are also 49 00:02:59,060 --> 00:02:55,170 very nutrition to see that and then 50 00:03:02,420 --> 00:02:59,070 where it come from it could from in all 51 00:03:06,080 --> 00:03:02,430 the organisms those individual they die 52 00:03:12,050 --> 00:03:06,090 and those DNA materials or release from 53 00:03:14,660 --> 00:03:12,060 the cell so basically it exists in all 54 00:03:19,460 --> 00:03:14,670 type of ecosystem and kind of abundant 55 00:03:23,360 --> 00:03:19,470 and it has been found that some microbes 56 00:03:27,020 --> 00:03:23,370 species will take this ed na as 57 00:03:31,220 --> 00:03:27,030 nutritional supply so the question is is 58 00:03:34,940 --> 00:03:31,230 the hell file could do this so the 59 00:03:39,140 --> 00:03:34,950 answer is yes so this experiment is 60 00:03:41,569 --> 00:03:39,150 performed in dr. Parker slab showing by 61 00:03:44,870 --> 00:03:41,579 fitting this species health Eric's 62 00:03:50,229 --> 00:03:44,880 bikini I which is model species of how 63 00:03:53,300 --> 00:03:50,239 hello files so it can grow on IDI na but 64 00:03:56,180 --> 00:03:53,310 the thing is depends on where the 65 00:04:00,009 --> 00:03:56,190 stealing Eden income from its 66 00:04:03,560 --> 00:04:00,019 selectively picking for example here 67 00:04:06,830 --> 00:04:03,570 health Eric's will grow on the E DNA 68 00:04:10,930 --> 00:04:06,840 from itself but it won't grow on the DNA 69 00:04:14,360 --> 00:04:10,940 from hearing or e coli so this results 70 00:04:16,789 --> 00:04:14,370 we want to ask like okay what type of 71 00:04:19,400 --> 00:04:16,799 look II DNA they prefer what's the 72 00:04:23,270 --> 00:04:19,410 characteristic of those consumed DNA 73 00:04:26,750 --> 00:04:23,280 molecules right so talk about DNA 74 00:04:30,290 --> 00:04:26,760 molecules so here our many 75 00:04:33,230 --> 00:04:30,300 using two while you used characters to 76 00:04:36,950 --> 00:04:33,240 describe the features of DNA why is this 77 00:04:40,960 --> 00:04:36,960 GC content so DNA molecules have four 78 00:04:44,420 --> 00:04:40,970 bases a tgc so GC content basically 79 00:04:46,870 --> 00:04:44,430 calculate the percentage of GC in 80 00:04:51,080 --> 00:04:46,880 certain region could be genome 81 00:04:56,780 --> 00:04:51,090 chromosome or any region were interested 82 00:04:59,720 --> 00:04:56,790 in another thing is the DNA modification 83 00:05:03,920 --> 00:04:59,730 pattern specifically is a methylation 84 00:05:08,030 --> 00:05:03,930 pattern so here this three figures show 85 00:05:12,320 --> 00:05:08,040 three type of methylation for bacteria 86 00:05:15,020 --> 00:05:12,330 and nakia so what type of methylation 87 00:05:18,530 --> 00:05:15,030 will happen or generate here depends on 88 00:05:22,760 --> 00:05:18,540 the methylation enzymes this species 89 00:05:25,730 --> 00:05:22,770 have or carry and then different 90 00:05:28,970 --> 00:05:25,740 methylation enzyme normally have a 91 00:05:32,870 --> 00:05:28,980 specific recognition motif which is 92 00:05:35,450 --> 00:05:32,880 small DNA regions for example later 93 00:05:39,350 --> 00:05:35,460 we'll talk about the methylation enzyme 94 00:05:44,980 --> 00:05:39,360 of Health erics which using this CTA GC 95 00:05:48,530 --> 00:05:44,990 tag motif as a recognition region so to 96 00:05:52,390 --> 00:05:48,540 exam what type of a DNA they prefer to 97 00:05:55,790 --> 00:05:52,400 take we design this experiment so first 98 00:05:59,900 --> 00:05:55,800 extract the community DNA from certain 99 00:06:03,100 --> 00:05:59,910 pound and then part of it directly being 100 00:06:07,340 --> 00:06:03,110 sequenced so we obtain this pre fitting 101 00:06:10,640 --> 00:06:07,350 meta-genome dead data another part used 102 00:06:13,910 --> 00:06:10,650 as edu a source to fit the health erics 103 00:06:16,970 --> 00:06:13,920 and after feeding treatment or sequence 104 00:06:19,310 --> 00:06:16,980 the post feeling same how to obtain the 105 00:06:22,340 --> 00:06:19,320 post feeding meta-genome then we'll 106 00:06:27,200 --> 00:06:22,350 compare is pre fitting and post feeding 107 00:06:30,950 --> 00:06:27,210 sample to check like DNA features or DNA 108 00:06:34,330 --> 00:06:30,960 future changes of those groups so here 109 00:06:38,180 --> 00:06:34,340 is the summary of the results to this 110 00:06:40,150 --> 00:06:38,190 purple pink circle is the pre feeding 111 00:06:43,219 --> 00:06:40,160 sample blue 112 00:06:47,180 --> 00:06:43,229 Circle is the post feeding sample so the 113 00:06:49,490 --> 00:06:47,190 overlap area is those DNA occur in both 114 00:06:52,129 --> 00:06:49,500 samples so they're like basically 115 00:06:55,600 --> 00:06:52,139 haven't been consumed so we call the 116 00:06:58,129 --> 00:06:55,610 leftover group and then this area is 117 00:07:00,650 --> 00:06:58,139 particularly interesting is the only 118 00:07:03,520 --> 00:07:00,660 occurred in pre feeding sample but 119 00:07:06,980 --> 00:07:03,530 disappear in post feeding samples so 120 00:07:09,200 --> 00:07:06,990 potentially being consumed so we call 121 00:07:11,810 --> 00:07:09,210 the eaten group then things where we 122 00:07:14,629 --> 00:07:11,820 repeat that experiment twice so 123 00:07:16,430 --> 00:07:14,639 eventually we obtain two replicates and 124 00:07:19,640 --> 00:07:16,440 then the results are pretty consistent 125 00:07:22,610 --> 00:07:19,650 are there about eight point three eight 126 00:07:27,740 --> 00:07:22,620 point five percent of the DNA have been 127 00:07:32,180 --> 00:07:27,750 consumed then next about the GC content 128 00:07:36,050 --> 00:07:32,190 of those groups are this purple curve is 129 00:07:39,560 --> 00:07:36,060 the leftover group which is pretty 130 00:07:41,300 --> 00:07:39,570 similar to this black curve is the GC 131 00:07:44,779 --> 00:07:41,310 content distribution of the total 132 00:07:49,839 --> 00:07:44,789 community sample however the eaten group 133 00:07:53,870 --> 00:07:49,849 which is this red orange curve showing 134 00:07:55,879 --> 00:07:53,880 they have the bias towards the lower GC 135 00:07:59,629 --> 00:07:55,889 content indicate the health Eric's 136 00:08:04,010 --> 00:07:59,639 prefer to take the DNA with lower GC 137 00:08:06,950 --> 00:08:04,020 cannon and since the GC content of 138 00:08:10,939 --> 00:08:06,960 genome when we talk about that it's it 139 00:08:13,040 --> 00:08:10,949 has it's basically species-specific so 140 00:08:15,770 --> 00:08:13,050 different species normally have 141 00:08:20,029 --> 00:08:15,780 different GC content our average for 142 00:08:24,649 --> 00:08:20,039 their genome so we want you a check if 143 00:08:29,750 --> 00:08:24,659 this load GC content is contribute to by 144 00:08:32,740 --> 00:08:29,760 specific species so next we do a 145 00:08:36,640 --> 00:08:32,750 taxonomy analysis to analyze the 146 00:08:38,779 --> 00:08:36,650 composition of our sample so here is the 147 00:08:40,969 --> 00:08:38,789 compensation of the total community 148 00:08:44,029 --> 00:08:40,979 sample different color represents 149 00:08:48,230 --> 00:08:44,039 different than general settings this 150 00:08:50,510 --> 00:08:48,240 taxonomy is in genus level and then the 151 00:08:53,570 --> 00:08:50,520 leftover groups showing a very similar 152 00:08:56,690 --> 00:08:53,580 pattern to the entire community sample 153 00:09:00,710 --> 00:08:56,700 however this eatin group are 154 00:09:03,890 --> 00:09:00,720 significantly different and I check all 155 00:09:07,610 --> 00:09:03,900 the species in those general and haven't 156 00:09:10,580 --> 00:09:07,620 found no specific species abundance 157 00:09:14,600 --> 00:09:10,590 pieces in this group have low GC content 158 00:09:18,650 --> 00:09:14,610 so is this suggests this low GC content 159 00:09:21,650 --> 00:09:18,660 bias could maybe just from like some 160 00:09:26,420 --> 00:09:21,660 region of the genome or have lower GC 161 00:09:28,700 --> 00:09:26,430 content and they take that next about 162 00:09:31,580 --> 00:09:28,710 the methylation pattern so already 163 00:09:38,170 --> 00:09:31,590 mentioned hello ferrets have this 164 00:09:42,410 --> 00:09:38,180 methylation enzyme using seatac motif so 165 00:09:45,710 --> 00:09:42,420 with then if the other species in this 166 00:09:49,180 --> 00:09:45,720 eating group also share this gene then 167 00:09:53,480 --> 00:09:49,190 eventually you will generate similar 168 00:09:56,660 --> 00:09:53,490 methylation pattern so here we exam the 169 00:09:59,990 --> 00:09:56,670 presence absence status of those of this 170 00:10:03,050 --> 00:10:00,000 gene in all those species in the eating 171 00:10:06,470 --> 00:10:03,060 group and then if all the species in 172 00:10:10,220 --> 00:10:06,480 this genus have this gene we color in 173 00:10:14,210 --> 00:10:10,230 dark purple if none of the species in 174 00:10:19,220 --> 00:10:14,220 genus have this gene then we'll color in 175 00:10:23,420 --> 00:10:19,230 white so to map the status here we can 176 00:10:26,450 --> 00:10:23,430 show or we can see a lot of genus or 177 00:10:33,230 --> 00:10:26,460 species in this eating group actually 178 00:10:38,710 --> 00:10:33,240 share this methylation enzyme and we 179 00:10:42,410 --> 00:10:38,720 also connect this presence/absence 180 00:10:46,370 --> 00:10:42,420 status of this gene to this bundles 181 00:10:50,780 --> 00:10:46,380 change changes of those group so here 182 00:10:54,140 --> 00:10:50,790 this green arrow connect the genus if 183 00:10:57,830 --> 00:10:54,150 their proportion increased in Eden group 184 00:11:01,280 --> 00:10:57,840 compared to the proportion in the entire 185 00:11:04,460 --> 00:11:01,290 community sample and then the orange 186 00:11:07,280 --> 00:11:04,470 arrow connect the opposite so if this 187 00:11:09,650 --> 00:11:07,290 genus the proportion decreased 188 00:11:12,249 --> 00:11:09,660 in the Ealing group compared to the 189 00:11:15,889 --> 00:11:12,259 proportion in an entire community sample 190 00:11:19,160 --> 00:11:15,899 anyways can see there is a a very strong 191 00:11:23,120 --> 00:11:19,170 correlation pattern here is almost all 192 00:11:27,699 --> 00:11:23,130 the green error eral have a cross 12 193 00:11:31,999 --> 00:11:27,709 dark purple dot here or the orange arrow 194 00:11:34,670 --> 00:11:32,009 they have like white dot so meaning they 195 00:11:37,999 --> 00:11:34,680 don't have this gene so this results 196 00:11:40,550 --> 00:11:38,009 might suggest the sharing the similar 197 00:11:44,809 --> 00:11:40,560 methylation pattern could be a signal 198 00:11:48,889 --> 00:11:44,819 for to determine if health Eric's will 199 00:11:53,329 --> 00:11:48,899 pick this gene or not so a quick summary 200 00:11:56,600 --> 00:11:53,339 here so health Eric's makini I prefer to 201 00:12:00,110 --> 00:11:56,610 take the e DNA with lower GC content and 202 00:12:04,939 --> 00:12:00,120 similar methylation pattern and with 203 00:12:07,819 --> 00:12:04,949 this information we wonder if we put 204 00:12:09,800 --> 00:12:07,829 those species sharing this stimulant 205 00:12:13,420 --> 00:12:09,810 methylation pattern together to form a 206 00:12:16,790 --> 00:12:13,430 community and then my former our 207 00:12:20,509 --> 00:12:16,800 resource recycling system then this 208 00:12:23,720 --> 00:12:20,519 might be a really nice strategy to adapt 209 00:12:27,220 --> 00:12:23,730 the inning source limited environment 210 00:12:32,269 --> 00:12:27,230 which you know if this system can work 211 00:12:36,889 --> 00:12:32,279 then I guess hello file commit whom we 212 00:12:42,570 --> 00:12:36,899 work better okay so with that I would 213 00:12:50,260 --> 00:12:47,920 thank you sing oh yeah I was wondering 214 00:12:52,720 --> 00:12:50,270 if you looked for the that specific 215 00:12:56,130 --> 00:12:52,730 motif in the not eaten organisms as well 216 00:12:59,130 --> 00:12:56,140 and found that it wasn't present ah 217 00:13:04,990 --> 00:12:59,140 didn't do you know what I mean yeah but 218 00:13:08,560 --> 00:13:05,000 because the well if we see they actually 219 00:13:12,930 --> 00:13:08,570 are so those groups are actually pretty 220 00:13:17,530 --> 00:13:12,940 similar to the total community structure 221 00:13:22,110 --> 00:13:17,540 to the committee samples so basically we 222 00:13:25,960 --> 00:13:22,120 already check if they did if those 223 00:13:29,910 --> 00:13:25,970 groups share that gene his you know in 224 00:13:33,120 --> 00:13:29,920 the Eden group they actually have more 225 00:13:36,760 --> 00:13:33,130 general stand out compared to the 226 00:13:39,280 --> 00:13:36,770 community symbol so we did check those 227 00:13:50,740 --> 00:13:39,290 so they are already included sort of 228 00:13:54,730 --> 00:13:50,750 included in this group thank you um so I 229 00:13:57,430 --> 00:13:54,740 was wondering I is there any other kind 230 00:14:00,970 --> 00:13:57,440 of DNA that the hayloft Eric's likes to 231 00:14:04,060 --> 00:14:00,980 eat more than its own or does it it 232 00:14:06,280 --> 00:14:04,070 doesn't always go for its its own kind 233 00:14:14,380 --> 00:14:06,290 of DNA first and then things that are 234 00:14:16,300 --> 00:14:14,390 similar ah yeah all we have some before 235 00:14:21,400 --> 00:14:16,310 we do they will have some hypotheses 236 00:14:24,640 --> 00:14:21,410 like if they take DNA from you know the 237 00:14:30,340 --> 00:14:24,650 taxonomy resources saying if they're 238 00:14:32,550 --> 00:14:30,350 from like clothes related species but it 239 00:14:36,010 --> 00:14:32,560 turns out it determined by the 240 00:14:38,040 --> 00:14:36,020 methylation pattern but sharing the 241 00:14:40,930 --> 00:14:38,050 similar methylation pattern doesn't 242 00:14:49,180 --> 00:14:40,940 necessarily mean they are closed related 243 00:14:51,460 --> 00:14:49,190 species so yes so like those are species 244 00:14:53,650 --> 00:14:51,470 in those chilling those general they 245 00:14:55,750 --> 00:14:53,660 they sharing this method similar 246 00:14:58,710 --> 00:14:55,760 methylation pattern but on the phylogeny 247 00:15:01,270 --> 00:14:58,720 fellow genetic tree they are not really 248 00:15:03,870 --> 00:15:01,280 clustering together or they don't have 249 00:15:10,290 --> 00:15:03,880 those kind of pattern they just widely 250 00:15:15,850 --> 00:15:13,900 alright one last question okay so 251 00:15:18,460 --> 00:15:15,860 obviously you haven't done this here but 252 00:15:19,960 --> 00:15:18,470 has anybody looked into how much of the 253 00:15:22,380 --> 00:15:19,970 DNA that's eaten is actually 254 00:15:27,640 --> 00:15:22,390 incorporated into the bacterial 255 00:15:30,700 --> 00:15:27,650 chromosome ah you mean like map them to 256 00:15:32,860 --> 00:15:30,710 the back to that yeah like you'd have to 257 00:15:37,450 --> 00:15:32,870 do it with a monoculture and not like 258 00:15:41,770 --> 00:15:37,460 this community like you did here um you 259 00:15:46,650 --> 00:15:41,780 know because this group is now first 260 00:15:49,480 --> 00:15:46,660 it's not just from one species so well 261 00:15:52,180 --> 00:15:49,490 it definitely could try to yeah I 262 00:15:55,810 --> 00:15:52,190 haven't done that yet but I have those 263 00:15:59,880 --> 00:15:55,820 like all the DNA because this is I have 264 00:16:01,630 --> 00:15:59,890 those metagenomic samples from all those 265 00:16:04,000 --> 00:16:01,640 generals 266 00:16:06,610 --> 00:16:04,010 okay no I was just asking if anybody has 267 00:16:08,890 --> 00:16:06,620 done it with like a monoculture of one 268 00:16:12,760 --> 00:16:08,900 representative of one of these species 269 00:16:16,090 --> 00:16:12,770 that eats DNA oh yeah I haven't heard 270 00:16:20,230 --> 00:16:16,100 that because for the hell files those 271 00:16:22,630 --> 00:16:20,240 are all the all those are most most of 272 00:16:25,300 --> 00:16:22,640 them except this one thing most of them 273 00:16:28,810 --> 00:16:25,310 are archaea and i think as i know 274 00:16:31,840 --> 00:16:28,820 besides health eric's bikini I their 275 00:16:33,940 --> 00:16:31,850 only few species are successfully cut 276 00:16:36,820 --> 00:16:33,950 you know and can culturing the lab and a