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These are the user uploaded subtitles that are being translated: 0 00:00:00,000 --> 00:00:04,190 PETER REDDIEN: Now, to think about our expectation. 1 00:00:04,190 --> 00:00:07,950 I'm going to draw out another chromosome. 2 00:00:07,950 --> 00:00:10,970 So I just drew on this board one chromosome, 3 00:00:10,970 --> 00:00:14,398 chromosome 1, the chromosome that gene X happens to be on. 4 00:00:14,398 --> 00:00:16,940 So let's just think about what would happen with chromosome 2 5 00:00:16,940 --> 00:00:20,820 in this cross, for thinking about our expected outcome. 6 00:00:20,820 --> 00:00:22,850 So I'm going do the same cross now, but now 7 00:00:22,850 --> 00:00:24,680 with just chromosome 2. 8 00:00:24,680 --> 00:00:27,560 So I'm just going to start with the F1, where our F1 we 9 00:00:27,560 --> 00:00:30,500 had polymorphisms that differ. 10 00:00:30,500 --> 00:00:33,530 Now I'm going to draw the two homologues of chromosome 2. 11 00:00:33,530 --> 00:00:37,100 So we have one with white SNPs from this original individual, 12 00:00:37,100 --> 00:00:38,892 and one chromosome with the blue type SNPs. 13 00:00:38,892 --> 00:00:40,267 So that's a different chromosome. 14 00:00:40,267 --> 00:00:42,402 But these chromosomes have polymorphisms as well. 15 00:00:42,402 --> 00:00:43,860 So let me just give you an example. 16 00:00:43,860 --> 00:00:46,760 Let's say this polymorphism is SNP2, 17 00:00:46,760 --> 00:00:49,760 we have a white type SNP2, and a blue type SNP2. 18 00:00:49,760 --> 00:00:52,550 So we crossed to one of these individuals 19 00:00:52,550 --> 00:00:56,625 with these white type SNPs for chromosome 1 and chromosome 2. 20 00:00:56,625 --> 00:00:58,250 So that's the same cross we did before, 21 00:00:58,250 --> 00:01:00,870 but I'm just adding on this other chromosome. 22 00:01:00,870 --> 00:01:03,080 And now we select individuals that are 23 00:01:03,080 --> 00:01:05,000 gene X minus over gene X minus. 24 00:01:05,000 --> 00:01:07,970 We know we're going to get one of these chromosomes 2 25 00:01:07,970 --> 00:01:09,030 from this parent. 26 00:01:09,030 --> 00:01:12,410 So we'll have one chromosome that has SNP2, the white type. 27 00:01:12,410 --> 00:01:14,810 And what will we get from this parent? 28 00:01:14,810 --> 00:01:16,160 Any predictions? 29 00:01:16,160 --> 00:01:18,560 What will the genotype of these individuals 30 00:01:18,560 --> 00:01:22,230 be, this next generation for SNP2? 31 00:01:22,230 --> 00:01:25,260 50% of the time, you'll get this white SNP2. 32 00:01:25,260 --> 00:01:28,140 And 50% of the time you'll get this blue SNP2. 33 00:01:28,140 --> 00:01:29,910 That's just equal segregation. 34 00:01:29,910 --> 00:01:31,770 So nothing really too fancy here. 35 00:01:31,770 --> 00:01:33,240 It's just equal segregation. 36 00:01:33,240 --> 00:01:35,685 But instead of just alleles of like big A and little a, 37 00:01:35,685 --> 00:01:39,780 it's just a white allele and a blue allele of a polymorphism. 38 00:01:39,780 --> 00:01:40,950 Other questions? 39 00:01:40,950 --> 00:01:42,780 Yeah? 40 00:01:42,780 --> 00:01:43,553 But yes. 41 00:01:43,553 --> 00:01:44,970 So crossing over is only happening 42 00:01:44,970 --> 00:01:46,990 between the same chromosome. 43 00:01:46,990 --> 00:01:50,580 So you're only having this crossing over possibility 44 00:01:50,580 --> 00:01:53,460 between the two homologues of chromosome one. 45 00:01:53,460 --> 00:01:55,980 46 00:01:55,980 --> 00:02:01,903 Let's now think about our data. 47 00:02:01,903 --> 00:02:02,820 So let's make a graph. 48 00:02:02,820 --> 00:02:05,560 49 00:02:05,560 --> 00:02:06,810 Let me give myself some space. 50 00:02:06,810 --> 00:02:12,610 51 00:02:12,610 --> 00:02:15,920 So we're going think about our sequencing data. 52 00:02:15,920 --> 00:02:27,022 And we want to look at the frequency of the reads, 53 00:02:27,022 --> 00:02:28,355 our frequency of sequence reads. 54 00:02:28,355 --> 00:02:33,752 55 00:02:33,752 --> 00:02:35,960 We're going look at the frequency of sequencing reads 56 00:02:35,960 --> 00:02:37,252 in our data that are blue type. 57 00:02:37,252 --> 00:02:52,385 58 00:02:52,385 --> 00:02:54,760 So we're going to look at the frequency of the reads that 59 00:02:54,760 --> 00:02:56,650 have this blue polymorphism, as opposed 60 00:02:56,650 --> 00:02:59,650 to the white polymorphism. 61 00:02:59,650 --> 00:03:02,240 So that'll be our y-axis here. 62 00:03:02,240 --> 00:03:04,870 And then our x-axis is going to be-- 63 00:03:04,870 --> 00:03:07,510 I'm going to depict it. 64 00:03:07,510 --> 00:03:11,960 It's going to be positioned along a chromosome. 65 00:03:11,960 --> 00:03:17,300 So this is going to be chromosome 2 position. 66 00:03:17,300 --> 00:03:21,260 67 00:03:21,260 --> 00:03:25,310 So you can imagine lining out the sequence of the chromosome 68 00:03:25,310 --> 00:03:28,800 here on our x-axis from one nucleotide to the other. 69 00:03:28,800 --> 00:03:31,040 We've got a long chromosome here. 70 00:03:31,040 --> 00:03:32,990 And we know where all the polymorphisms 71 00:03:32,990 --> 00:03:36,510 are on here, from our reference sequence and our information. 72 00:03:36,510 --> 00:03:40,190 And we can now look, and these individuals 73 00:03:40,190 --> 00:03:43,280 and our data that we have for the frequency of the sequence 74 00:03:43,280 --> 00:03:45,920 reads that are blue type. 75 00:03:45,920 --> 00:03:48,388 Any predictions? 76 00:03:48,388 --> 00:03:49,430 So I have one prediction. 77 00:03:49,430 --> 00:03:50,713 It's 50-50. 78 00:03:50,713 --> 00:03:52,838 Let's see, raise your hand if you think it's 50-50. 79 00:03:52,838 --> 00:03:56,110 80 00:03:56,110 --> 00:03:58,920 Raise your hand if you think of something else. 81 00:03:58,920 --> 00:04:00,340 No one votes for anything else. 82 00:04:00,340 --> 00:04:00,840 Oh, wait. 83 00:04:00,840 --> 00:04:01,650 Maybe one vote in the back. 84 00:04:01,650 --> 00:04:02,940 OK, I'll come back to you. 85 00:04:02,940 --> 00:04:06,000 Raise your hand if you're unsure. 86 00:04:06,000 --> 00:04:07,230 So let's think about it. 87 00:04:07,230 --> 00:04:10,140 These we just talked about, are our expected outcomes, 88 00:04:10,140 --> 00:04:12,540 and the ratio of these individuals 89 00:04:12,540 --> 00:04:15,270 is going to be 1 to 1. 90 00:04:15,270 --> 00:04:19,690 So 50% will be this way, and 50% will be this way. 91 00:04:19,690 --> 00:04:20,713 Why is that? 92 00:04:20,713 --> 00:04:22,380 Well, again, if we just think about this 93 00:04:22,380 --> 00:04:25,170 as a big A and a little A, or something like that, 94 00:04:25,170 --> 00:04:27,570 half the time you get this allele, half the time you 95 00:04:27,570 --> 00:04:28,500 get that allele. 96 00:04:28,500 --> 00:04:30,210 We'd expect 50% of the time you get this, 97 00:04:30,210 --> 00:04:31,870 50% of the time you get that. 98 00:04:31,870 --> 00:04:34,060 So now we have to do sequencing. 99 00:04:34,060 --> 00:04:36,750 So let's say these bottom SNP2s came from this parent. 100 00:04:36,750 --> 00:04:39,030 They are going to be included in our sequencing data. 101 00:04:39,030 --> 00:04:41,593 Half of the reads are going to come from this chromosome. 102 00:04:41,593 --> 00:04:44,010 We're going to be sequencing all these individuals pooled. 103 00:04:44,010 --> 00:04:46,593 So half of the reads are going to come from these chromosomes. 104 00:04:46,593 --> 00:04:48,608 So 50% are going to be from here. 105 00:04:48,608 --> 00:04:50,400 The other 50% are going to be the ones that 106 00:04:50,400 --> 00:04:51,727 came from this parent. 107 00:04:51,727 --> 00:04:53,310 And half of the time they'll be white, 108 00:04:53,310 --> 00:04:55,420 and half the time they'll be blue. 109 00:04:55,420 --> 00:04:58,030 All right, so now given that, what 110 00:04:58,030 --> 00:05:00,130 is your expected frequency of blue type 111 00:05:00,130 --> 00:05:02,540 SNPs in our sequencing data? 112 00:05:02,540 --> 00:05:03,520 STUDENT: 25%? 113 00:05:03,520 --> 00:05:04,312 PETER REDDIEN: 25%. 114 00:05:04,312 --> 00:05:07,770 115 00:05:07,770 --> 00:05:12,180 So we've got some value here, 0.25. 116 00:05:12,180 --> 00:05:13,020 And if we look-- 117 00:05:13,020 --> 00:05:16,050 now we look SNP by SNP across the chromosome. 118 00:05:16,050 --> 00:05:18,150 We just talked it through for SNP2. 119 00:05:18,150 --> 00:05:19,710 We say it'd be 0.25 for SNP2. 120 00:05:19,710 --> 00:05:22,590 What would it be for some other SNP right next to SNP2? 121 00:05:22,590 --> 00:05:24,210 The same or different? 122 00:05:24,210 --> 00:05:25,560 Same. 123 00:05:25,560 --> 00:05:30,080 So what would this graph look like? 124 00:05:30,080 --> 00:05:31,830 STUDENT: Some points scattered throughout? 125 00:05:31,830 --> 00:05:34,380 PETER REDDIEN: Yeah, basically a straight line. 126 00:05:34,380 --> 00:05:35,880 Might have some variance. 127 00:05:35,880 --> 00:05:38,610 But that's what you'd expect for any SNP that's 128 00:05:38,610 --> 00:05:43,620 unlinked to our gene X. We could have 129 00:05:43,620 --> 00:05:45,090 the same graph for chromosome 3. 130 00:05:45,090 --> 00:05:46,007 We get the same thing. 131 00:05:46,007 --> 00:05:48,410 Chromosome 4, we get the same thing. 9319

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