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These are the user uploaded subtitles that are being translated: 0 00:00:00,000 --> 00:00:06,100 MICHAEL HEMANN: Now, this kind of mapping, again, 1 00:00:06,100 --> 00:00:10,780 is based on crossovers between two different genes. 2 00:00:10,780 --> 00:00:13,180 And so let's think about that just a little bit more. 3 00:00:13,180 --> 00:00:22,750 So say we have A1D, A2+, A1D, A2+. 4 00:00:22,750 --> 00:00:30,775 And we have A1+, A2D, and A1+ and A2D. 5 00:00:30,775 --> 00:00:34,660 6 00:00:34,660 --> 00:00:39,250 And so if we have a single crossover-- 7 00:00:39,250 --> 00:00:45,880 and we'll look at crossovers per interval, the interval 8 00:00:45,880 --> 00:00:49,960 here being the space between A1 and A2 9 00:00:49,960 --> 00:00:56,600 and whether we get recombinants. 10 00:00:56,600 --> 00:00:58,750 So, if you have one crossover, you 11 00:00:58,750 --> 00:01:03,220 get recombinant because you get A1D and A2D put together. 12 00:01:03,220 --> 00:01:07,840 But imagine if you had a second recombination event 13 00:01:07,840 --> 00:01:09,530 between the same two alleles. 14 00:01:09,530 --> 00:01:12,820 So one occurs, and then it flips back. 15 00:01:12,820 --> 00:01:15,670 Do you have recombinants at this point? 16 00:01:15,670 --> 00:01:19,000 Or maybe I should say, do you see recombinants at this point? 17 00:01:19,000 --> 00:01:25,750 You do that it occurred, but you're not going to see it. 18 00:01:25,750 --> 00:01:29,100 If you have two events, you won't see it 19 00:01:29,100 --> 00:01:32,240 because it flipped once, and then it flipped back. 20 00:01:32,240 --> 00:01:34,310 And so you can think, OK, if I had three, 21 00:01:34,310 --> 00:01:36,260 then you'd see it again. 22 00:01:36,260 --> 00:01:41,460 If you had four, you wouldn't see it. 23 00:01:41,460 --> 00:01:44,430 So, if there's an even number of flipping events, 24 00:01:44,430 --> 00:01:45,960 things are just going to flip back. 25 00:01:45,960 --> 00:01:51,000 And they no longer are recognizable as recombination 26 00:01:51,000 --> 00:01:51,690 events. 27 00:01:51,690 --> 00:01:54,060 And this occurs naturally the longer 28 00:01:54,060 --> 00:01:55,560 that they are away from one another 29 00:01:55,560 --> 00:01:57,240 because there's, essentially, more space 30 00:01:57,240 --> 00:02:00,383 for these recombination events to occur. 31 00:02:00,383 --> 00:02:02,550 And so we can think of this in terms of what we call 32 00:02:02,550 --> 00:02:03,675 sort of a mapping function. 33 00:02:03,675 --> 00:02:08,580 34 00:02:08,580 --> 00:02:11,360 And, if we look at the relationship 35 00:02:11,360 --> 00:02:24,390 between genetic distance and physical distance, 36 00:02:24,390 --> 00:02:27,090 we'd expect, theoretically, that this would be 37 00:02:27,090 --> 00:02:29,290 kind of a linear relationship. 38 00:02:29,290 --> 00:02:31,320 The bigger the genetic distance, the bigger 39 00:02:31,320 --> 00:02:33,900 the physical distance. 40 00:02:33,900 --> 00:02:37,110 But this isn't the case when you get to larger numbers. 41 00:02:37,110 --> 00:02:40,740 So they track together for a little while, 42 00:02:40,740 --> 00:02:43,410 but the appearance of these different crossovers, 43 00:02:43,410 --> 00:02:49,420 1, 2, 3, 4, obscures the overall genetic distance. 44 00:02:49,420 --> 00:02:53,580 So it falsely, essentially, decreases the genetic distance 45 00:02:53,580 --> 00:02:57,300 because you're underestimating the total number 46 00:02:57,300 --> 00:02:58,800 of recombination events. 47 00:02:58,800 --> 00:03:01,875 And the place that this really breaks down 48 00:03:01,875 --> 00:03:07,440 is at 50 centimorgans. 49 00:03:07,440 --> 00:03:10,620 So 50 centimorgans or below 50 centimorgans 50 00:03:10,620 --> 00:03:14,670 is really the upper limit for any relationship 51 00:03:14,670 --> 00:03:19,920 that we can interpret between two distinct alleles. 52 00:03:19,920 --> 00:03:21,720 And it makes sense when you think 53 00:03:21,720 --> 00:03:26,870 about recombination rates. 54 00:03:26,870 --> 00:03:31,430 So, if the number of parentals equals 55 00:03:31,430 --> 00:03:33,680 the number of crossovers, essentially, this 56 00:03:33,680 --> 00:03:37,370 occurs at 50% recombination, so a distance 57 00:03:37,370 --> 00:03:39,470 that would be 50 centimorgans. 58 00:03:39,470 --> 00:03:42,960 And this is the hallmark of independent segregation. 59 00:03:42,960 --> 00:03:46,720 So we can't differentiate between-- 60 00:03:46,720 --> 00:03:50,590 so 50 centimorgan would be any organism because here we're 61 00:03:50,590 --> 00:03:54,370 looking at a genetic distance. 62 00:03:54,370 --> 00:03:56,410 So the actual physical distance would 63 00:03:56,410 --> 00:03:59,290 vary in terms of what that upper limit is 64 00:03:59,290 --> 00:04:00,640 between different organisms. 65 00:04:00,640 --> 00:04:03,490 But, here, all that 50 centimorgans means 66 00:04:03,490 --> 00:04:05,980 is that there's a 50% recombination 67 00:04:05,980 --> 00:04:09,910 rate, that 50% of the gametes are crossover gametes. 68 00:04:09,910 --> 00:04:11,560 And that's exactly what you would 69 00:04:11,560 --> 00:04:14,305 expect if you had just random assortment 70 00:04:14,305 --> 00:04:16,180 of different chromosomes, if they were placed 71 00:04:16,180 --> 00:04:17,660 on different chromosomes. 72 00:04:17,660 --> 00:04:24,480 So there's a point where we can no longer 73 00:04:24,480 --> 00:04:27,790 infer any meaningful relationship between these two 74 00:04:27,790 --> 00:04:28,290 alleles. 75 00:04:28,290 --> 00:04:30,990 And that point is really under 50 centimorgans. 76 00:04:30,990 --> 00:04:33,390 And, even below 50 centimorgans, this 77 00:04:33,390 --> 00:04:35,490 is really breaking down because of this issue 78 00:04:35,490 --> 00:04:38,580 of multiple crossover events. 79 00:04:38,580 --> 00:04:40,830 So this presents a problem to us if we have, 80 00:04:40,830 --> 00:04:43,600 essentially, a sparse phenotypic landscape. 81 00:04:43,600 --> 00:04:46,860 So, if we don't have that many phenotypes to follow 82 00:04:46,860 --> 00:04:51,810 and we're trying to identify and finely map different places-- 83 00:04:51,810 --> 00:04:54,150 or different alleles on the same chromosome-- and this 84 00:04:54,150 --> 00:04:57,720 is definitely the case when we look at humans. 85 00:04:57,720 --> 00:05:01,320 The space in the genome far exceeds 86 00:05:01,320 --> 00:05:04,240 the number of phenotypes that we can actually really even look 87 00:05:04,240 --> 00:05:04,740 at. 88 00:05:04,740 --> 00:05:08,610 Then we actually have to have another metric 89 00:05:08,610 --> 00:05:10,310 to be able to link things together. 90 00:05:10,310 --> 00:05:14,670 And so what that metric is are the use of DNA markers 91 00:05:14,670 --> 00:05:17,670 and the use of things like SNPs, or Single-Nucleotide 92 00:05:17,670 --> 00:05:19,050 Polymorphisms. 93 00:05:19,050 --> 00:05:22,170 And these markers that we'll talk about 94 00:05:22,170 --> 00:05:27,968 are going to allow us to do really fine mapping in lots 95 00:05:27,968 --> 00:05:30,010 of different genomes, including the human genome, 96 00:05:30,010 --> 00:05:32,620 so that, not only can we place phenotypes together, 97 00:05:32,620 --> 00:05:35,850 we can actually place genes next to markers 98 00:05:35,850 --> 00:05:39,550 that demarcate particular places in the genome. 99 00:05:39,550 --> 00:05:41,310 And so, essentially, all of the mapping 100 00:05:41,310 --> 00:05:42,810 that we're going to do in the future 101 00:05:42,810 --> 00:05:46,320 relates to the use of markers, DNA markers, 102 00:05:46,320 --> 00:05:49,170 in addition to the phenotype or phenotypes 103 00:05:49,170 --> 00:05:53,390 that we're interested in looking at. 7804

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