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These are the user uploaded subtitles that are being translated: 0 00:00:00,000 --> 00:00:01,375 MICHAEL HEMANN: Today we're going 1 00:00:01,375 --> 00:00:07,230 to talk about linkage analysis. 2 00:00:07,230 --> 00:00:12,540 And this involves identifying where a particular gene is 3 00:00:12,540 --> 00:00:13,630 on a chromosome. 4 00:00:13,630 --> 00:00:16,680 So we've localized to chromosomes in the past, 5 00:00:16,680 --> 00:00:21,400 now we're localizing genes relative to one another. 6 00:00:21,400 --> 00:00:23,830 So why do we want to do this? 7 00:00:23,830 --> 00:00:25,630 Why do we care? 8 00:00:25,630 --> 00:00:29,430 Well, this is actually what geneticists do. 9 00:00:29,430 --> 00:00:32,040 We actually try to start from phenotypes 10 00:00:32,040 --> 00:00:33,780 and map the locations of genes. 11 00:00:33,780 --> 00:00:39,390 And by localizing these genes, identify the genetic causes 12 00:00:39,390 --> 00:00:43,420 or underpinnings of phenotypes that we're interested in. 13 00:00:43,420 --> 00:00:48,060 So for example, we can talk about genetic variability 14 00:00:48,060 --> 00:00:49,740 in populations and why some people are 15 00:00:49,740 --> 00:00:52,420 more susceptible to COVID than others. 16 00:00:52,420 --> 00:00:54,420 And this kind of study has been done recently, 17 00:00:54,420 --> 00:00:56,665 and we'll talk about this in a few lectures, 18 00:00:56,665 --> 00:00:58,290 and you'll talk about this kind of work 19 00:00:58,290 --> 00:01:01,140 later in the semester with Olivia Corradin talking 20 00:01:01,140 --> 00:01:03,150 about genome-wide association studies. 21 00:01:03,150 --> 00:01:05,400 But it's the way that we go from something 22 00:01:05,400 --> 00:01:09,690 that we see to an actual molecular detailed picture 23 00:01:09,690 --> 00:01:12,210 of what is the etiology of this condition. 24 00:01:12,210 --> 00:01:15,090 It allows us to identify genes and alterations in genes, 25 00:01:15,090 --> 00:01:17,700 and ideally identify therapeutics 26 00:01:17,700 --> 00:01:24,180 that we can use to actually affect or correct something 27 00:01:24,180 --> 00:01:26,910 that we see as a defect, or in somebody that's resistant, 28 00:01:26,910 --> 00:01:30,000 for example, to COVID, can we identify there a therapeutic 29 00:01:30,000 --> 00:01:32,280 that would help other people? 30 00:01:32,280 --> 00:01:35,430 So mapping is really essential and really is 31 00:01:35,430 --> 00:01:37,440 the bread and butter of what geneticists do. 32 00:01:37,440 --> 00:01:39,360 So we're going to talk about this, basically, 33 00:01:39,360 --> 00:01:43,470 in the next four or five lectures. 34 00:01:43,470 --> 00:01:46,680 And so we're going to start, as we frequently 35 00:01:46,680 --> 00:01:50,820 do, in a model organism that we're comfortable with here, 36 00:01:50,820 --> 00:01:52,560 talking about Drosophila. 37 00:01:52,560 --> 00:01:55,560 And so here I'm showing Drosophila chromosome 38 00:01:55,560 --> 00:01:56,850 schematized. 39 00:01:56,850 --> 00:02:00,180 Previously we've mapped genes onto particular chromosomes, 40 00:02:00,180 --> 00:02:01,920 like the X chromosome. 41 00:02:01,920 --> 00:02:05,640 But what if we actually want to map genes on the X chromosome 42 00:02:05,640 --> 00:02:06,880 relative to one another? 43 00:02:06,880 --> 00:02:10,889 We want to figure out basically how far they are away from one 44 00:02:10,889 --> 00:02:14,520 another so we can start building a map where all of these 45 00:02:14,520 --> 00:02:17,970 loci, or are all of these places that are demarcated. 46 00:02:17,970 --> 00:02:20,280 And so if we have a new gene, we can localize it 47 00:02:20,280 --> 00:02:23,280 next to these locations, these phenotypes, 48 00:02:23,280 --> 00:02:27,060 and identify what is the cause of alteration or mutation 49 00:02:27,060 --> 00:02:30,960 underlying these alterations. 50 00:02:30,960 --> 00:02:37,150 So say we have two alterations on the X chromosome. 51 00:02:37,150 --> 00:02:42,850 So we can write in here genotypes and phenotypes. 52 00:02:42,850 --> 00:02:47,300 53 00:02:47,300 --> 00:02:53,910 And our X chromosome genotypes can be, for example, 54 00:02:53,910 --> 00:02:56,780 if we're looking at two genes, one is white eyes, 55 00:02:56,780 --> 00:02:58,883 or the mutation causes a white eye phenotype, 56 00:02:58,883 --> 00:03:00,050 and the other is mini wings. 57 00:03:00,050 --> 00:03:02,210 So white eyes and little wings, these 58 00:03:02,210 --> 00:03:05,900 are the things that Drosophila biologists think about. 59 00:03:05,900 --> 00:03:13,890 So if you are w plus and m plus on the X chromosome, 60 00:03:13,890 --> 00:03:14,790 you're wild type. 61 00:03:14,790 --> 00:03:18,410 62 00:03:18,410 --> 00:03:31,490 If you are w plus and m minus, you have mini wings with wings. 63 00:03:31,490 --> 00:03:40,370 If you are w minus m plus, you have white eyes. 64 00:03:40,370 --> 00:03:43,390 So three phenotypes that we can-- 65 00:03:43,390 --> 00:03:45,970 two phenotypes and a lack thereof that we can clearly 66 00:03:45,970 --> 00:03:49,450 see in male flies. 67 00:03:49,450 --> 00:03:51,490 So let's do a little cross. 68 00:03:51,490 --> 00:03:58,760 And so we'll start with a white-eyed male. 69 00:03:58,760 --> 00:04:02,330 And we'll cross to a mini wings female. 70 00:04:02,330 --> 00:04:13,180 So w plus m minus w plus m minus on both chromosomes. 71 00:04:13,180 --> 00:04:18,019 And so the progeny from this cross, if you are a female, 72 00:04:18,019 --> 00:04:20,589 the females are going to be heterozygous at both 73 00:04:20,589 --> 00:04:21,610 of these loci. 74 00:04:21,610 --> 00:04:25,600 So they're going to have one allele that's w minus m plus 75 00:04:25,600 --> 00:04:29,815 and one allele that's w plus m minus. 76 00:04:29,815 --> 00:04:33,830 77 00:04:33,830 --> 00:04:38,850 We can take this female, this double heterozygote female, 78 00:04:38,850 --> 00:04:42,680 and cross to a wild-type male. 79 00:04:42,680 --> 00:04:45,650 80 00:04:45,650 --> 00:04:49,700 And we'll do this just to see the interactions of the two 81 00:04:49,700 --> 00:04:53,100 chromosomes in this female. 82 00:04:53,100 --> 00:04:56,120 So we want to know, are these two alleles 83 00:04:56,120 --> 00:04:59,660 staying together or are they moving away from one another? 84 00:04:59,660 --> 00:05:02,850 Is there recombination that's occurring? 85 00:05:02,850 --> 00:05:07,500 So from this cross, we essentially 86 00:05:07,500 --> 00:05:12,090 get two categories of male flies. 87 00:05:12,090 --> 00:05:13,890 So one of them-- 88 00:05:13,890 --> 00:05:25,940 category will have w minus m plus or w plus m minus. 89 00:05:25,940 --> 00:05:28,430 And this we'll call parental. 90 00:05:28,430 --> 00:05:34,850 And we'll call it parental because the alleles here 91 00:05:34,850 --> 00:05:38,270 are the same alleles that we see, essentially, 92 00:05:38,270 --> 00:05:42,990 in these parental types above. 93 00:05:42,990 --> 00:05:46,920 So they're suggestive that there's no recombination here, 94 00:05:46,920 --> 00:05:49,260 that they've stayed together on the same chromosome. 95 00:05:49,260 --> 00:05:50,770 They're on the X chromosome. 96 00:05:50,770 --> 00:05:53,430 So they haven't moved apart from one another. 97 00:05:53,430 --> 00:05:55,380 Alternatively, we can get different classes. 98 00:05:55,380 --> 00:05:57,750 And so one of the different classes that we can get 99 00:05:57,750 --> 00:06:06,880 is w minus m minus, or w plus m plus. 100 00:06:06,880 --> 00:06:09,310 So something's happened here. 101 00:06:09,310 --> 00:06:12,760 There's been some reassortment of alleles. 102 00:06:12,760 --> 00:06:24,200 And so we call these recombinants or crossovers. 103 00:06:24,200 --> 00:06:29,450 Because they're not represented in the parental class. 104 00:06:29,450 --> 00:06:32,360 So we can enumerate the relative ratios 105 00:06:32,360 --> 00:06:34,460 of these parentals versus these 106 00:06:34,460 --> 00:06:36,910 recombinants, or crossovers. 107 00:06:36,910 --> 00:06:42,240 108 00:06:42,240 --> 00:06:47,800 And so if the number of parentals 109 00:06:47,800 --> 00:06:52,940 equals the number of crossovers or recombinant, 110 00:06:52,940 --> 00:06:59,290 then we call these loci unlinked. 111 00:06:59,290 --> 00:07:02,955 So this is the characteristic of independent assortment. 112 00:07:02,955 --> 00:07:04,330 This is what we would see if they 113 00:07:04,330 --> 00:07:06,310 were on different chromosomes. 114 00:07:06,310 --> 00:07:20,780 So if the parentals exceed the number of crossovers, 115 00:07:20,780 --> 00:07:25,760 and we say that they're slightly more, 116 00:07:25,760 --> 00:07:33,980 then we'll say that these are weakly linked, 117 00:07:33,980 --> 00:07:36,830 meaning that they are on the same chromosome, 118 00:07:36,830 --> 00:07:40,370 but they're probably some distance away from another. 119 00:07:40,370 --> 00:07:51,880 So finally if we have many more parentals, then the crossovers, 120 00:07:51,880 --> 00:07:58,010 we'll say that they are tightly linked, 121 00:07:58,010 --> 00:08:00,570 that they really don't move away from one another. 122 00:08:00,570 --> 00:08:04,700 And in fact, when they're really, really close together, 123 00:08:04,700 --> 00:08:12,990 crossovers may not appear. 124 00:08:12,990 --> 00:08:15,270 If they're really, really tightly linked, 125 00:08:15,270 --> 00:08:20,150 these crossovers are going to be really, really rare. 9560

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