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These are the user uploaded subtitles that are being translated: 0 00:00:00,140 --> 00:00:05,893 PROFESSOR: Go from linkage maps here to now linkage mapping and activity. 1 00:00:10,180 --> 00:00:22,000 What is so cool about this is that you can tell where genes live on the 2 00:00:22,000 --> 00:00:24,260 chromosome by crossing them with each other. 3 00:00:24,260 --> 00:00:26,610 By crossing mutants with each other. 4 00:00:26,610 --> 00:00:32,790 Sturtevant is able, he teaches us how, to build up maps of chromosomes and 5 00:00:32,790 --> 00:00:37,420 tell us the gene controlling curved wings, or vestigial wings, or black 6 00:00:37,420 --> 00:00:40,400 body, or cinnabar eyes lives right over here. 7 00:00:42,930 --> 00:00:43,790 This one lives right over there. 8 00:00:43,790 --> 00:00:45,990 That one lives right over there. 9 00:00:45,990 --> 00:00:49,570 And he didn't even know that chromosomes were made of DNA. 10 00:00:49,570 --> 00:00:52,140 And he didn't have modern sequencing machines. 11 00:00:52,140 --> 00:00:55,430 He had none of that stuff, yet he could tell you where things were in 12 00:00:55,430 --> 00:00:58,440 the chromosome before people even new what genes were made of. 13 00:00:58,440 --> 00:01:02,260 That is a really powerful idea of genetics, is genetics is able to tell 14 00:01:02,260 --> 00:01:05,529 you where genes are for something without even knowing what they are. 15 00:01:05,529 --> 00:01:06,970 And that means something very cool. 16 00:01:06,970 --> 00:01:10,680 It means you can investigate things where you have no prior knowledge of 17 00:01:10,680 --> 00:01:12,610 the biochemical basis. 18 00:01:12,610 --> 00:01:16,910 You can study really weird and unusual things where you would have no idea 19 00:01:16,910 --> 00:01:18,220 how to do biochemistry. 20 00:01:18,220 --> 00:01:20,965 You wouldn't have an assay to purify a protein. 21 00:01:20,965 --> 00:01:24,800 But genetics, nonetheless, can tell you where's that gene. 22 00:01:24,800 --> 00:01:29,720 And you can then make flies that have that particular allelic variant, that 23 00:01:29,720 --> 00:01:35,150 allele, that particular little b or little vestigial, and you can cross 24 00:01:35,150 --> 00:01:38,930 them and control genotypes because you know where everything is. 25 00:01:38,930 --> 00:01:44,390 So as you begin to build up these maps you add more and more and more and 26 00:01:44,390 --> 00:01:45,680 more and more and more and more. 27 00:01:45,680 --> 00:01:50,160 And then, oh, now I'm interested in this new gene I've just discovered 28 00:01:50,160 --> 00:01:51,560 that has some interesting phenotype. 29 00:01:51,560 --> 00:01:52,880 I'm going to set up a bunch of crosses. 30 00:01:52,880 --> 00:01:54,080 I'm going to see what it's near. 31 00:01:54,080 --> 00:01:56,790 And bingo, my new gene goes here. 32 00:02:01,280 --> 00:02:04,190 There are some pretty cool mutants that emerge over the 33 00:02:04,190 --> 00:02:05,880 course of the century. 34 00:02:05,880 --> 00:02:07,130 Let me show you a cool mutant. 35 00:02:10,310 --> 00:02:13,200 Wild type fly. 36 00:02:13,200 --> 00:02:17,180 Do you see a difference with this fly here? 37 00:02:17,180 --> 00:02:18,440 What's happened to its antennae? 38 00:02:21,930 --> 00:02:22,910 Those are legs. 39 00:02:22,910 --> 00:02:24,116 STUDENT: Eww. 40 00:02:24,116 --> 00:02:25,750 PROFESSOR: Eww. 41 00:02:25,750 --> 00:02:29,120 That fly has legs coming out of its head. 42 00:02:29,120 --> 00:02:35,260 It is called, not unreasonably, antennapedia, meaning its antennae has 43 00:02:35,260 --> 00:02:36,710 become legs. 44 00:02:36,710 --> 00:02:41,570 Did you have any idea that it's possible to have a single gene change 45 00:02:41,570 --> 00:02:46,090 that's able to control the fate of an antenna and turn it into a fully 46 00:02:46,090 --> 00:02:47,800 formed leg? 47 00:02:47,800 --> 00:02:49,790 I would have no idea how to do it. 48 00:02:49,790 --> 00:02:51,820 I mean, it's amazing that that can happen. 49 00:02:51,820 --> 00:02:57,420 Genetics tells us that the way the body plan is laid out a single change 50 00:02:57,420 --> 00:03:01,580 must be controlling some master regulator that is assigning 51 00:03:01,580 --> 00:03:07,840 developmental fate is able to turn an antenna into legs. 52 00:03:07,840 --> 00:03:08,950 Let's look at another one. 53 00:03:08,950 --> 00:03:10,200 Can you spot the difference? 54 00:03:12,260 --> 00:03:16,020 This one's not so hard to spot, is it? 55 00:03:16,020 --> 00:03:19,220 This is our wild type fly, wings. 56 00:03:19,220 --> 00:03:21,630 You see these tiny little organs here? 57 00:03:21,630 --> 00:03:25,780 These are what are called balancing organs, or halteres on the fly. 58 00:03:25,780 --> 00:03:30,430 In this fly over here a single mutation has caused these balancing 59 00:03:30,430 --> 00:03:34,120 organs to become a second pair of wings. 60 00:03:34,120 --> 00:03:38,670 One change is able to switch the developmental program from the haltere 61 00:03:38,670 --> 00:03:40,010 to an extra pair of wings. 62 00:03:40,010 --> 00:03:43,140 That teaches us about the way fly development works. 63 00:03:43,140 --> 00:03:46,380 And if I told you as a biochemist, please grind up this fly and figure 64 00:03:46,380 --> 00:03:49,810 out what's the protein that must be wrong, you wouldn't 65 00:03:49,810 --> 00:03:50,600 know where to start. 66 00:03:50,600 --> 00:03:53,020 Because you could grin up the fly all you wanted and you could purify 67 00:03:53,020 --> 00:03:55,800 proteins, but you don't have an assay. 68 00:03:55,800 --> 00:03:59,510 But genetics can tell you exactly where that gene lives on a chromosome. 69 00:03:59,510 --> 00:04:02,380 That's the power of what Sturtevant realized. 70 00:04:02,380 --> 00:04:07,880 Of course, knowing where it lived on the chromosome didn't help Sturtevant 71 00:04:07,880 --> 00:04:13,120 figure out what the gene was in 1913 when his paper was finally published. 72 00:04:13,120 --> 00:04:16,660 Because they didn't have tools of DNA then. 73 00:04:16,660 --> 00:04:17,649 They couldn't actually-- 74 00:04:17,649 --> 00:04:20,589 they could know where it was relative to everything else, but they couldn't 75 00:04:20,589 --> 00:04:21,790 read out those genes. 76 00:04:21,790 --> 00:04:27,100 But wait 70 years from when Sturtevant publishes that paper and we have these 77 00:04:27,100 --> 00:04:34,050 abstract maps that tell us where atennapedia lives or where ultra 78 00:04:34,050 --> 00:04:37,480 bithorax lives, the double-winged fly. 79 00:04:37,480 --> 00:04:40,700 And the tools of recombinant DNA that we're going to learn about later in 80 00:04:40,700 --> 00:04:47,700 the term allow us to pinpoint that gene and read it out without having 81 00:04:47,700 --> 00:04:52,740 any guess as to what the gene actually does, just based on its position. 82 00:04:52,740 --> 00:04:56,890 Geneticists find this whole notion of positional mapping relative to other 83 00:04:56,890 --> 00:05:02,410 things so incredibly powerful because it lets you get genes without any idea 84 00:05:02,410 --> 00:05:04,860 what their biochemistry is. 85 00:05:04,860 --> 00:05:05,860 That's why this matters. 86 00:05:05,860 --> 00:05:09,550 And that's why it was such a good all-nighter. 87 00:05:09,550 --> 00:05:11,450 And I repeat my offer. 88 00:05:11,450 --> 00:05:14,420 Half as good an all-nighter, no homework for the whole term. 89 00:05:14,420 --> 00:05:15,652 STUDENT: Challenge accepted. 90 00:05:15,652 --> 00:05:17,420 PROFESSOR: Challenge accepted. 91 00:05:17,420 --> 00:05:19,950 Exactly. 92 00:05:19,950 --> 00:05:23,820 I'm going to make a couple quicky remarks about some facts about maps 93 00:05:23,820 --> 00:05:27,920 that might confuse you, but I'm just going to mention them anyway. 94 00:05:27,920 --> 00:05:29,865 So two minor points about maps. 95 00:05:38,180 --> 00:05:48,370 We were talking about distance on the chromosome between two genes and the 96 00:05:48,370 --> 00:05:49,690 recombination frequency. 97 00:05:52,620 --> 00:05:57,100 If things were pretty close together, the recombination frequency was low. 98 00:05:57,100 --> 00:06:00,750 If things were further apart on the chromosome it was higher. 99 00:06:00,750 --> 00:06:05,530 And we've been pretending that it's just linear. 100 00:06:05,530 --> 00:06:09,070 That the further you go, the more the percentage of recombination is as you 101 00:06:09,070 --> 00:06:11,390 move along the chromosome. 102 00:06:11,390 --> 00:06:13,460 There's a problem with that. 103 00:06:13,460 --> 00:06:18,770 As you keep going and going it's not entirely perfectly linear after a 104 00:06:18,770 --> 00:06:22,930 while because there could be two crossovers and three crossovers. 105 00:06:22,930 --> 00:06:28,570 And remember, if there were two crossovers, the two genes come back 106 00:06:28,570 --> 00:06:30,530 together in the same chromosome. 107 00:06:30,530 --> 00:06:32,060 So it isn't quite linear. 108 00:06:32,060 --> 00:06:35,500 It begins to turn over a little bit and decrease. 109 00:06:35,500 --> 00:06:39,960 And as I go further and further out on the chromosome there might be two 110 00:06:39,960 --> 00:06:43,420 crossovers, three crossovers, four crossovers, five crossovers. 111 00:06:43,420 --> 00:06:46,900 And whether they stay together or get separated depends on whether there's 112 00:06:46,900 --> 00:06:50,330 an odd number of crossovers or an even number of crossovers. 113 00:06:50,330 --> 00:06:53,680 And the further I get, eventually that's a toss up. 114 00:06:53,680 --> 00:06:54,920 It's about equal. 115 00:06:54,920 --> 00:07:01,050 And I get about 50% recombination. 116 00:07:01,050 --> 00:07:05,270 As I get farther and farther away along the same chromosome they're 117 00:07:05,270 --> 00:07:07,480 independently assorting from each other. 118 00:07:07,480 --> 00:07:09,870 As if they were on different chromosomes. 119 00:07:09,870 --> 00:07:12,450 They look like they're on different chromosomes if I'm far enough away 120 00:07:12,450 --> 00:07:14,980 because there could be an even number of crossover, an odd number of 121 00:07:14,980 --> 00:07:17,270 chromosomal crossovers, because there's enough distance there that 122 00:07:17,270 --> 00:07:19,230 it's no longer really correlated. 123 00:07:19,230 --> 00:07:24,540 So when I told you these were exactly these numbers, they're very close to. 124 00:07:24,540 --> 00:07:28,960 But as I get further and further away, it maxes out about 50%. 125 00:07:28,960 --> 00:07:29,610 OK? 126 00:07:29,610 --> 00:07:32,465 And that's important for you to know because otherwise as you went further 127 00:07:32,465 --> 00:07:35,900 and further on the chromosome you would say, oh it gets to 10%, 20%, 50% 128 00:07:35,900 --> 00:07:38,470 90%, 100%, 170%. 129 00:07:38,470 --> 00:07:39,830 What does 170% mean, all right? 130 00:07:39,830 --> 00:07:41,450 It can't be-- it's got to be turning over somewhere. 131 00:07:41,450 --> 00:07:45,090 It turns over at 50% at random assortment there. 132 00:07:45,090 --> 00:07:47,660 That's one fact that I want to tell you. 133 00:07:47,660 --> 00:07:50,052 And the other fact I almost don't want to tell you, but I'm 134 00:07:50,052 --> 00:07:52,760 going to tell you anyway. 135 00:07:52,760 --> 00:07:59,970 Which is we pretended, in my example up there of 10% and 10% that those two 136 00:07:59,970 --> 00:08:05,860 crossovers were utterly independent of each other and it gave exactly 1%. 137 00:08:05,860 --> 00:08:08,190 I went back and reread Sturtevant's paper. 138 00:08:08,190 --> 00:08:10,600 It's not exactly true. 139 00:08:10,600 --> 00:08:14,220 But please forget this as soon as I tell you. 140 00:08:14,220 --> 00:08:15,830 They're a little anti-correlated. 141 00:08:15,830 --> 00:08:17,130 There's a little bit of interference. 142 00:08:17,130 --> 00:08:19,870 It's actually a little lower than 1%. 143 00:08:19,870 --> 00:08:21,870 Maybe half as much or something like that. 144 00:08:21,870 --> 00:08:26,180 And even then, in 1911, Sturtevant understood that there was some degree 145 00:08:26,180 --> 00:08:28,230 of interference between these crossovers. 146 00:08:28,230 --> 00:08:30,590 They couldn't be too many too close. 147 00:08:30,590 --> 00:08:33,230 And that's utterly irrelevant to you, but I'm just filling it in to say 148 00:08:33,230 --> 00:08:36,820 people pay a lot of attention to these maps and you can infer a lot of things 149 00:08:36,820 --> 00:08:40,780 about how genetics works by paying close attention to the numbers. 150 00:08:40,780 --> 00:08:42,850 So that's how we do genetic mapping. 151 00:08:42,850 --> 00:08:44,390 And you really can learn a lot. 152 00:08:44,390 --> 00:08:51,050 But the coolest thing is you can find any gene for those double wings or the 153 00:08:51,050 --> 00:08:53,060 legs out of the head. 154 00:08:53,060 --> 00:09:04,950 Or, or, maybe you could do that same thing to human chromosomes. 155 00:09:04,950 --> 00:09:10,340 Maybe that same trick could be used not with black body and vestigial 156 00:09:10,340 --> 00:09:14,650 wings and antennapedia but maybe it could be used for 157 00:09:14,650 --> 00:09:18,180 genes in human families. 158 00:09:18,180 --> 00:09:23,630 And maybe by mapping the inheritance of human diseases relative to other 159 00:09:23,630 --> 00:09:30,200 markers we can build maps that tell us where the genes that cause disease. 160 00:09:30,200 --> 00:09:34,460 This would take until 1984 before it actually happens. 161 00:09:34,460 --> 00:09:36,660 Sturtevant doesn't live to hear about it. 162 00:09:36,660 --> 00:09:43,540 But we have maps today like chromosome 15 here which has Tay-Sachs disease is 163 00:09:43,540 --> 00:09:44,600 mapping over there. 164 00:09:44,600 --> 00:09:46,260 There's a gene for colorectal cancer here. 165 00:09:46,260 --> 00:09:48,290 A gene for Bartter syndrome over there. 166 00:09:48,290 --> 00:09:51,030 Lots of things. 167 00:09:51,030 --> 00:09:53,790 That same principle that Sturtevant worked out that let's you map it in 168 00:09:53,790 --> 00:09:56,490 fruit flies today lets you map this in human beings. 169 00:09:56,490 --> 00:09:59,660 And we will later in the course talk about exactly how you can apply this 170 00:09:59,660 --> 00:10:01,752 to map it to human beings. 171 00:10:01,752 --> 00:10:04,340 All right, now that you understand the basics to recombination, I've got a 172 00:10:04,340 --> 00:10:06,580 question for you about how recombination works when you get to 173 00:10:06,580 --> 00:10:07,830 long distances. 14739

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