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These are the user uploaded subtitles that are being translated: 0 00:00:00,000 --> 00:00:02,740 MICHAEL HEMANN: Saccharomyces cerevisiae are budding yeast. 1 00:00:02,740 --> 00:00:06,630 So in the top left, I'm showing yeast-- yeast that are budding. 2 00:00:06,630 --> 00:00:08,580 Yeast are really important for us. 3 00:00:08,580 --> 00:00:10,530 Biologically, they do things-- 4 00:00:10,530 --> 00:00:12,000 critical things-- for our society, 5 00:00:12,000 --> 00:00:14,670 like make bread and make beer. 6 00:00:14,670 --> 00:00:18,150 For those of you that haven't seen yeast grow, on the right, 7 00:00:18,150 --> 00:00:22,110 this is a culture dish with yeast colonies growing. 8 00:00:22,110 --> 00:00:27,270 So yeast are really interesting because, among other things, 9 00:00:27,270 --> 00:00:30,090 they can exist as haploids-- 10 00:00:30,090 --> 00:00:35,440 meaning that they can exist with only one copy of their genome. 11 00:00:35,440 --> 00:00:41,900 So we would call that 1n, which is 16 chromosomes. 12 00:00:41,900 --> 00:00:44,900 13 00:00:44,900 --> 00:00:47,840 So they can exist in a 1n state or they 14 00:00:47,840 --> 00:00:50,180 can exist in a 2n state-- 15 00:00:50,180 --> 00:00:51,890 essentially as a diploid. 16 00:00:51,890 --> 00:00:57,910 So 1n we call haploid, and 2n, we call diploid. 17 00:00:57,910 --> 00:01:01,270 So at the top here, I'm showing essentially the life cycle 18 00:01:01,270 --> 00:01:03,580 of saccharomyces cerevisiae. 19 00:01:03,580 --> 00:01:10,750 So in the transition from G1 phase-- so prereplication to S 20 00:01:10,750 --> 00:01:11,920 phase-- they start budding. 21 00:01:11,920 --> 00:01:14,170 In S phase, they replicate their DNA. 22 00:01:14,170 --> 00:01:15,580 They make a copy of it. 23 00:01:15,580 --> 00:01:18,460 And they essentially package half of their genome 24 00:01:18,460 --> 00:01:20,680 into their daughter cell. 25 00:01:20,680 --> 00:01:24,370 And this occurs in both haploids and diploids. 26 00:01:24,370 --> 00:01:26,410 So in both cases, they're budding. 27 00:01:26,410 --> 00:01:30,730 In both cases they undergo this normal replication cycle. 28 00:01:30,730 --> 00:01:33,280 The difference between haploids and diploids 29 00:01:33,280 --> 00:01:35,260 is that haploids can actually mate. 30 00:01:35,260 --> 00:01:39,400 So there are two essential varieties, or mating types, 31 00:01:39,400 --> 00:01:40,030 of yeast. 32 00:01:40,030 --> 00:01:43,240 One is referred to as mating type a the other 33 00:01:43,240 --> 00:01:45,823 is referred to as mating type alpha. 34 00:01:45,823 --> 00:01:47,740 You can think of these as sort of a yeast sex, 35 00:01:47,740 --> 00:01:52,330 although that description is not entirely accurate in terms 36 00:01:52,330 --> 00:01:54,170 of what this actually means. 37 00:01:54,170 --> 00:01:56,470 But an a mates to an alpha. 38 00:01:56,470 --> 00:02:01,630 And in doing so, they can create a diploid. 39 00:02:01,630 --> 00:02:05,350 So yeast grow as haploids and diploids. 40 00:02:05,350 --> 00:02:08,110 So how do you think they grow better? 41 00:02:08,110 --> 00:02:10,020 Like what do you think they prefer? 42 00:02:10,020 --> 00:02:12,400 Do they prefer to be haploids or diploids? 43 00:02:12,400 --> 00:02:15,830 It's a bit of an anthropomorphic question. 44 00:02:15,830 --> 00:02:20,710 But how do you think they grow better? 45 00:02:20,710 --> 00:02:24,510 So it's about 40/60 haploids to diploids. 46 00:02:24,510 --> 00:02:27,660 It turns out they generally prefer to be diploids. 47 00:02:27,660 --> 00:02:29,190 Life is tough as a haploid. 48 00:02:29,190 --> 00:02:32,730 If you only have a single copy of your genome, 49 00:02:32,730 --> 00:02:35,170 among other things, you don't tolerate mutations. 50 00:02:35,170 --> 00:02:37,320 So say you have an essential gene and it's lost. 51 00:02:37,320 --> 00:02:39,630 Well you're in trouble if you don't have two copies. 52 00:02:39,630 --> 00:02:40,980 And you can't repair DNA. 53 00:02:40,980 --> 00:02:48,660 So it's a little bit difficult to exist as a haploid. 54 00:02:48,660 --> 00:02:51,330 But what happens is the haploid phase 55 00:02:51,330 --> 00:02:54,180 actually confers a certain degree of protection 56 00:02:54,180 --> 00:02:55,840 to yeast in certain contexts. 57 00:02:55,840 --> 00:02:59,970 So a diploid yeast in a very stressful situation undergoes 58 00:02:59,970 --> 00:03:00,870 meiosis. 59 00:03:00,870 --> 00:03:04,550 And after meiosis, it forms a structure here. 60 00:03:04,550 --> 00:03:07,920 We'll talk about this later in another lecture, 61 00:03:07,920 --> 00:03:09,990 in talking about tetrad analysis. 62 00:03:09,990 --> 00:03:12,420 But this is essentially a cluster 63 00:03:12,420 --> 00:03:15,030 of four spores that turns out to be very durable. 64 00:03:15,030 --> 00:03:17,850 So in stressful situations, it undergoes meiosis. 65 00:03:17,850 --> 00:03:20,370 You sporulate, you drift to a different place 66 00:03:20,370 --> 00:03:22,500 to try to find a better growth condition, 67 00:03:22,500 --> 00:03:25,920 you become a haploid, and you start growing as a haploid, 68 00:03:25,920 --> 00:03:29,160 but then you rapidly once again become a diploid 69 00:03:29,160 --> 00:03:32,640 because it's a more robust, essentially, 70 00:03:32,640 --> 00:03:34,680 type of growth condition. 71 00:03:34,680 --> 00:03:37,380 But we can use this characteristics 72 00:03:37,380 --> 00:03:41,070 of a haploid yeast, and the ability to mate 73 00:03:41,070 --> 00:03:46,260 haploid yeast, to actually look at genetic interactions 74 00:03:46,260 --> 00:03:49,620 between two different alleles. 75 00:03:49,620 --> 00:03:52,270 All right. 76 00:03:52,270 --> 00:04:00,330 So let's think about two yeast, or two individual yeast cells. 77 00:04:00,330 --> 00:04:07,250 These are both 1n, so they're haploid. 78 00:04:07,250 --> 00:04:09,680 You guys know of any other haploid organisms 79 00:04:09,680 --> 00:04:11,120 or haploid eukaryotes? 80 00:04:11,120 --> 00:04:14,610 81 00:04:14,610 --> 00:04:16,600 Any examples? 82 00:04:16,600 --> 00:04:20,019 It's pretty rare-- the ability to live as a haploid. 83 00:04:20,019 --> 00:04:21,440 A bee's a cool example. 84 00:04:21,440 --> 00:04:26,290 So a drone bee, or a male bee, exists as a haploid. 85 00:04:26,290 --> 00:04:30,970 And the queen bee and the worker bees are diploids. 86 00:04:30,970 --> 00:04:33,970 Curiously enough, a haploid bee and a haploid yeast 87 00:04:33,970 --> 00:04:36,400 actually have the same chromosome number, which 88 00:04:36,400 --> 00:04:41,860 is actually 16 chromosomes. 89 00:04:41,860 --> 00:04:43,190 They're very different sizes. 90 00:04:43,190 --> 00:04:45,970 There's not necessarily a good correlation between genome size 91 00:04:45,970 --> 00:04:47,170 and chromosome number. 92 00:04:47,170 --> 00:04:51,310 But a haploid yeast has 16 chromosomes. 93 00:04:51,310 --> 00:04:56,590 And so we here have a mat a yeast cell. 94 00:04:56,590 --> 00:04:59,290 And we have a mat alpha cell. 95 00:04:59,290 --> 00:05:01,540 And although they have 16 chromosomes, 96 00:05:01,540 --> 00:05:03,850 we're only going to look at one of them. 97 00:05:03,850 --> 00:05:08,020 And we're going to look at one gene on one chromosome, 98 00:05:08,020 --> 00:05:09,190 this gene gene, right? 99 00:05:09,190 --> 00:05:13,960 So we can mate a mat alpha and a mat a strain 100 00:05:13,960 --> 00:05:22,980 and get a resulting diploid or 2n cell, where 101 00:05:22,980 --> 00:05:26,700 we can look at the interaction, essentially, of these two 102 00:05:26,700 --> 00:05:27,330 alleles, right? 103 00:05:27,330 --> 00:05:28,997 We can bring these two alleles together. 104 00:05:28,997 --> 00:05:31,530 So we can look at their relative interaction 105 00:05:31,530 --> 00:05:35,010 their relative contribution to the overall phenotype 106 00:05:35,010 --> 00:05:36,180 of the resulting strain. 107 00:05:36,180 --> 00:05:39,880 So, importantly, in the context of yeast, 108 00:05:39,880 --> 00:05:48,240 these yeast haploids and diploids 109 00:05:48,240 --> 00:05:50,340 are what we call isomorphic. 110 00:05:50,340 --> 00:05:53,940 111 00:05:53,940 --> 00:05:57,150 Meaning that the phenotype of the haploid and the diploids 112 00:05:57,150 --> 00:06:02,790 are the same if essentially they have the same genotypes. 113 00:06:02,790 --> 00:06:07,170 So if you have one little g, your phenotype 114 00:06:07,170 --> 00:06:13,000 is pretty much the same as if you have two little gs. 115 00:06:13,000 --> 00:06:15,550 So it allows us essentially to compare 116 00:06:15,550 --> 00:06:18,100 haploid state and a diploid state 117 00:06:18,100 --> 00:06:21,840 looking at very similar phenotypes. 8789

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