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These are the user uploaded subtitles that are being translated: 0 00:00:00,000 --> 00:00:05,340 MICHAEL HEMANN: In this case, because we know nothing about 1 00:00:05,340 --> 00:00:07,530 the gene function itself, right-- 2 00:00:07,530 --> 00:00:11,295 we just have a strain that we've isolated that is his-, 3 00:00:11,295 --> 00:00:15,030 we really can't make any assumptions about what it is. 4 00:00:15,030 --> 00:00:18,310 If we actually knew the gene sequence-- knew, for example, 5 00:00:18,310 --> 00:00:22,650 that this his3- actually is just lacking a his3 gene-- 6 00:00:22,650 --> 00:00:24,300 then we can make some assumptions 7 00:00:24,300 --> 00:00:27,270 likely about whether it's dominant or recessive, 8 00:00:27,270 --> 00:00:31,000 or what the resulting phenotype of that cross would be. 9 00:00:31,000 --> 00:00:32,610 But if we don't know anything about it 10 00:00:32,610 --> 00:00:34,950 other than it's his deficient, then we actually 11 00:00:34,950 --> 00:00:36,180 have to do the cross. 12 00:00:36,180 --> 00:00:37,710 And I think the important thing here 13 00:00:37,710 --> 00:00:40,410 is that for this extended period of time, 14 00:00:40,410 --> 00:00:43,813 and even now in thinking about this kind of biology 15 00:00:43,813 --> 00:00:45,480 in this kind of strain, you have to have 16 00:00:45,480 --> 00:00:47,040 a way of doing this cross. 17 00:00:47,040 --> 00:00:49,870 So let me give you an example. 18 00:00:49,870 --> 00:01:03,160 So say that you have nine different strains, 19 00:01:03,160 --> 00:01:06,920 and these strains are all his-. 20 00:01:06,920 --> 00:01:12,390 21 00:01:12,390 --> 00:01:13,890 You know nothing about these strains 22 00:01:13,890 --> 00:01:15,630 other than they can't grow in the absence 23 00:01:15,630 --> 00:01:16,980 of exogenous histidine. 24 00:01:16,980 --> 00:01:21,210 What we can do is you can cross all of these together, right? 25 00:01:21,210 --> 00:01:25,380 So you can do pairwise crosses of each of these. 26 00:01:25,380 --> 00:01:32,040 And based on our complementation test, all of the his1- 27 00:01:32,040 --> 00:01:32,730 strains-- 28 00:01:32,730 --> 00:01:34,830 and we're just-- that's an arbitrary designation. 29 00:01:34,830 --> 00:01:37,020 That's just the first strain we've identified. 30 00:01:37,020 --> 00:01:38,850 It doesn't place it in the pathway anyways, 31 00:01:38,850 --> 00:01:40,410 but it's the first mutant-- 32 00:01:40,410 --> 00:01:43,800 all of the green hist1- strains will complement 33 00:01:43,800 --> 00:01:45,330 all of the other strains. 34 00:01:45,330 --> 00:01:49,290 So they'll complement these black and these red strains. 35 00:01:49,290 --> 00:01:51,330 But they won't complement one another 36 00:01:51,330 --> 00:01:53,970 because you do not complement if you have 37 00:01:53,970 --> 00:01:56,260 mutations in the same gene. 38 00:01:56,260 --> 00:02:02,010 So we can essentially separate these three strains away 39 00:02:02,010 --> 00:02:08,210 from the others and put them in what we'll 40 00:02:08,210 --> 00:02:09,830 call a complementation group. 41 00:02:09,830 --> 00:02:17,170 42 00:02:17,170 --> 00:02:21,230 So the three red strains will be together, 43 00:02:21,230 --> 00:02:23,600 and we can call these his2-. 44 00:02:23,600 --> 00:02:29,220 45 00:02:29,220 --> 00:02:33,030 And these three in black will be put together, 46 00:02:33,030 --> 00:02:40,250 and we'll call them his3-, right? 47 00:02:40,250 --> 00:02:42,570 So they won't complement each other, 48 00:02:42,570 --> 00:02:45,240 but they'll complement all of the others. 49 00:02:45,240 --> 00:02:48,170 And so a complementation group is essentially 50 00:02:48,170 --> 00:02:50,850 a group of mutants that don't complement each other, 51 00:02:50,850 --> 00:02:53,660 suggesting that they are all mutations that 52 00:02:53,660 --> 00:02:55,387 are in the same gene. 53 00:02:55,387 --> 00:02:57,720 And so you can see how this is actually really powerful. 54 00:02:57,720 --> 00:03:01,790 So we know nothing about the gene sequences of his genes. 55 00:03:01,790 --> 00:03:05,000 But by doing this analysis, if we have enough strains, 56 00:03:05,000 --> 00:03:09,170 we can actually identify sets of mutants that have alterations 57 00:03:09,170 --> 00:03:10,820 in the same gene. 58 00:03:10,820 --> 00:03:12,800 And we can even possibly identify 59 00:03:12,800 --> 00:03:15,960 how many enzymes are important in this pathway. 60 00:03:15,960 --> 00:03:18,260 So if we have a ton of mutants, and we 61 00:03:18,260 --> 00:03:19,760 have three complementation groups, 62 00:03:19,760 --> 00:03:21,590 then perhaps and very likely there 63 00:03:21,590 --> 00:03:24,020 are three important enzymes essential 64 00:03:24,020 --> 00:03:26,250 for histidine biosynthesis. 65 00:03:26,250 --> 00:03:30,620 So, again, knowing nothing about the molecular details 66 00:03:30,620 --> 00:03:32,390 and the sequence details of these genes, 67 00:03:32,390 --> 00:03:37,340 we can actually infer a great deal about this biology. 68 00:03:37,340 --> 00:03:43,580 So say we actually had a strain that was dominant, right? 69 00:03:43,580 --> 00:03:55,050 So here, we have a hisD strain, right? 70 00:03:55,050 --> 00:03:58,440 How many strains will this hisD strain 71 00:03:58,440 --> 00:04:03,800 complement if it is a dominant strain that 72 00:04:03,800 --> 00:04:06,070 doesn't produce histidine? 73 00:04:06,070 --> 00:04:08,990 Most of you say zero, and that's, in fact, correct. 74 00:04:08,990 --> 00:04:12,880 So in this strain, or in this cross, 75 00:04:12,880 --> 00:04:16,089 if we're actually crossing a dominant strain 76 00:04:16,089 --> 00:04:18,339 to all of these recessive strains, 77 00:04:18,339 --> 00:04:21,010 then the heterozygote, because it's dominant, 78 00:04:21,010 --> 00:04:24,320 is going to show the his- phenotype. 79 00:04:24,320 --> 00:04:27,870 So if you do this kind of complementation test 80 00:04:27,870 --> 00:04:31,830 with a dominant strain, then it will complement nothing, right? 81 00:04:31,830 --> 00:04:36,810 And, in fact, you can't infer anything about this gene other 82 00:04:36,810 --> 00:04:38,880 than it is a dominant allele. 83 00:04:38,880 --> 00:04:41,280 It could be a dominant allele of his1, 2, or 3. 84 00:04:41,280 --> 00:04:43,270 It could be an allele of something else. 85 00:04:43,270 --> 00:04:45,300 So you can't place it into a complementation 86 00:04:45,300 --> 00:04:47,640 group with anything else. 87 00:04:47,640 --> 00:04:50,770 But you can infer a relationship between these. 88 00:04:50,770 --> 00:04:52,380 And so, for the recessive strains, 89 00:04:52,380 --> 00:04:55,600 we can actually cluster them into a complementation group. 90 00:04:55,600 --> 00:04:58,710 And this has actually been a really effective strategy 91 00:04:58,710 --> 00:05:00,280 in a lot of human conditions. 92 00:05:00,280 --> 00:05:03,420 So if you have, for example, a peroxisomal biogenesis 93 00:05:03,420 --> 00:05:06,300 disorder, you can't make peroxisomes. 94 00:05:06,300 --> 00:05:09,390 There are 15 different kinds of mutations 95 00:05:09,390 --> 00:05:13,320 in different genes all involved in peroxisomal biogenesis. 96 00:05:13,320 --> 00:05:15,990 And by actually fusing cells together 97 00:05:15,990 --> 00:05:17,800 from people with these conditions, 98 00:05:17,800 --> 00:05:19,080 you can do the same test. 99 00:05:19,080 --> 00:05:22,290 It's essentially a diploid-cell way 100 00:05:22,290 --> 00:05:25,020 of doing a cross, where you fuse two cells together, 101 00:05:25,020 --> 00:05:27,900 and you see, does it actually make peroxisomes? 102 00:05:27,900 --> 00:05:32,760 And you can separate these into complementation groups 103 00:05:32,760 --> 00:05:34,710 that correspond to each gene. 104 00:05:34,710 --> 00:05:36,690 And that becomes really important if you're 105 00:05:36,690 --> 00:05:38,940 going to do mapping studies, like we'll talk about, 106 00:05:38,940 --> 00:05:42,225 because you want to know, am I mapping to a specific gene? 107 00:05:42,225 --> 00:05:44,460 So if you're looking at a bunch of different genes, 108 00:05:44,460 --> 00:05:47,250 then you're going to get a bunch of different locations 109 00:05:47,250 --> 00:05:48,060 in the genome. 110 00:05:48,060 --> 00:05:50,890 If you know that these are all mutations in the same gene, 111 00:05:50,890 --> 00:05:52,740 then you can focus your study on these 112 00:05:52,740 --> 00:05:58,220 and identify a locus much more effectively. 8576

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