All language subtitles for 97031x_MH_Mapping_Linkage_05_Recombination_Rate_v2-en

af Afrikaans
ak Akan
sq Albanian
am Amharic
ar Arabic
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bem Bemba
bn Bengali
bh Bihari
bs Bosnian
br Breton
bg Bulgarian
km Cambodian
ca Catalan
ceb Cebuano
chr Cherokee
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
ee Ewe
fo Faroese
tl Filipino
fi Finnish
fr French Download
fy Frisian
gaa Ga
gl Galician
ka Georgian
de German
el Greek
gn Guarani
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ia Interlingua
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
rw Kinyarwanda
rn Kirundi
kg Kongo
ko Korean
kri Krio (Sierra Leone)
ku Kurdish
ckb Kurdish (Soranî)
ky Kyrgyz
lo Laothian
la Latin
lv Latvian
ln Lingala
lt Lithuanian
loz Lozi
lg Luganda
ach Luo
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mfe Mauritian Creole
mo Moldavian
mn Mongolian
my Myanmar (Burmese)
sr-ME Montenegrin
ne Nepali
pcm Nigerian Pidgin
nso Northern Sotho
no Norwegian
nn Norwegian (Nynorsk)
oc Occitan
or Oriya
om Oromo
ps Pashto
fa Persian
pl Polish
pt-BR Portuguese (Brazil)
pt Portuguese (Portugal)
pa Punjabi
qu Quechua
ro Romanian
rm Romansh
nyn Runyakitara
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
sh Serbo-Croatian
st Sesotho
tn Setswana
crs Seychellois Creole
sn Shona
sd Sindhi
si Sinhalese
sk Slovak
sl Slovenian
so Somali
es Spanish
es-419 Spanish (Latin American)
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
tt Tatar
te Telugu
th Thai
ti Tigrinya
to Tonga
lua Tshiluba
tum Tumbuka
tr Turkish
tk Turkmen
tw Twi
ug Uighur
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
wo Wolof
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 0 00:00:00,000 --> 00:00:01,625 MICHAEL HEMANN: So what does that mean? 1 00:00:01,625 --> 00:00:04,200 I mean, what does it tell us that they are 8 centimorgans 2 00:00:04,200 --> 00:00:04,938 apart? 3 00:00:04,938 --> 00:00:06,480 And how does that bring us any closer 4 00:00:06,480 --> 00:00:08,490 to understanding whether they could 5 00:00:08,490 --> 00:00:11,940 be in the same gene or not? 6 00:00:11,940 --> 00:00:30,050 Well, recombination rates vary between organisms, 7 00:00:30,050 --> 00:00:32,390 which is to say, in some organisms, 8 00:00:32,390 --> 00:00:39,260 lots of recombination occurs in a very short region, 9 00:00:39,260 --> 00:00:43,280 whereas, in others, recombination occurs rarely. 10 00:00:43,280 --> 00:00:45,710 And so it occurs as an infrequent event 11 00:00:45,710 --> 00:00:48,710 over a really long stretch of DNA. 12 00:00:48,710 --> 00:00:51,130 And so we can actually couple this idea 13 00:00:51,130 --> 00:00:54,910 of a genetic distance, a centimorgan distance, 14 00:00:54,910 --> 00:01:01,130 with a physical distance using this formula. 15 00:01:01,130 --> 00:01:11,090 So genetic distance, which is measured in centimorgans, 16 00:01:11,090 --> 00:01:18,230 equals physical distance-- 17 00:01:18,230 --> 00:01:23,590 and physical distance will be in megabase pairs, 18 00:01:23,590 --> 00:01:33,050 so in, essentially, million base pair units-- 19 00:01:33,050 --> 00:01:43,470 times a recombination rate, which will be in 20 00:01:43,470 --> 00:01:50,310 centimorgans over megabase pairs. 21 00:01:50,310 --> 00:01:54,400 So this recombination rate is going 22 00:01:54,400 --> 00:01:57,740 to vary between distinct organisms. 23 00:01:57,740 --> 00:02:06,740 So, in Drosophila flies, recombination rate 24 00:02:06,740 --> 00:02:12,750 is 3.3 centimorgans per million base pairs. 25 00:02:12,750 --> 00:02:22,370 In humans, it's 1.3 centimorgans per million base pairs. 26 00:02:22,370 --> 00:02:24,790 So there's more recombination in flies 27 00:02:24,790 --> 00:02:28,045 than there is in humans per the same unit distance. 28 00:02:28,045 --> 00:02:31,900 29 00:02:31,900 --> 00:02:35,290 In yeast, it's actually 360 centimorgans 30 00:02:35,290 --> 00:02:36,920 per million base pairs. 31 00:02:36,920 --> 00:02:38,830 So there's a lot more recombination in yeast. 32 00:02:38,830 --> 00:02:42,340 And, if you look at other organisms like bacteria 33 00:02:42,340 --> 00:02:47,510 or viruses, the recombination rate is much, much higher. 34 00:02:47,510 --> 00:02:53,020 So, generally, the simpler the organism-- 35 00:02:53,020 --> 00:02:57,130 or single-celled organisms have much higher recombination rates 36 00:02:57,130 --> 00:02:59,440 versus multicellular organisms. 37 00:02:59,440 --> 00:03:01,540 And more complex organisms, like humans, 38 00:03:01,540 --> 00:03:05,800 have some of the lowest actual recombination rates. 39 00:03:05,800 --> 00:03:09,070 So, for viruses, they actually shuffle up their genomes 40 00:03:09,070 --> 00:03:11,150 really, really rapidly and efficiently, 41 00:03:11,150 --> 00:03:12,640 which can be sort of a scary thing 42 00:03:12,640 --> 00:03:16,090 when thinking about adaptation or the generation 43 00:03:16,090 --> 00:03:20,860 of new characteristics when they combine with other viruses. 44 00:03:20,860 --> 00:03:24,670 OK, so we have this different inherent ability of DNA 45 00:03:24,670 --> 00:03:27,560 to recombine in different species. 46 00:03:27,560 --> 00:03:31,940 We also have different sizes for genes in different species. 47 00:03:31,940 --> 00:03:37,400 So let's think about the largest genes 48 00:03:37,400 --> 00:03:39,250 in each of these organisms. 49 00:03:39,250 --> 00:03:42,770 So, in Drosophila, the biggest gene 50 00:03:42,770 --> 00:03:46,680 is about 0.1 million base pairs. 51 00:03:46,680 --> 00:03:50,510 So it's about 100 kilobases is the biggest gene. 52 00:03:50,510 --> 00:03:52,860 In humans, we have some really big genes. 53 00:03:52,860 --> 00:03:56,150 So we have genes like dystrophin and titan. 54 00:03:56,150 --> 00:04:03,680 And so our biggest gene is around 2.3 million base pairs. 55 00:04:03,680 --> 00:04:05,900 We have lots of introns in genes. 56 00:04:05,900 --> 00:04:08,210 So very little of it, as a percentage, 57 00:04:08,210 --> 00:04:11,960 is actual coding sequence, but they stretch out 58 00:04:11,960 --> 00:04:13,850 over really a long distance. 59 00:04:13,850 --> 00:04:16,760 And all of that is space where recombination can actually 60 00:04:16,760 --> 00:04:19,570 occur. 61 00:04:19,570 --> 00:04:22,560 And so, in yeast, the biggest gene 62 00:04:22,560 --> 00:04:27,510 is about 0.005 billion base pairs, around 5,000 bases, 63 00:04:27,510 --> 00:04:31,020 again, because yeast really don't have very many introns. 64 00:04:31,020 --> 00:04:35,280 And so the space is a lot more contracted. 65 00:04:35,280 --> 00:04:37,140 So, to get recombination in a gene, 66 00:04:37,140 --> 00:04:40,230 you actually need this very high recombination rate 67 00:04:40,230 --> 00:04:41,790 that's present in yeast. 68 00:04:41,790 --> 00:04:47,190 So we can calculate the genetic size for each of the biggest 69 00:04:47,190 --> 00:04:47,980 genes here. 70 00:04:47,980 --> 00:04:52,350 So, in yeast, the genetic size of the biggest gene 71 00:04:52,350 --> 00:05:03,980 would be 0.005 megabase pairs times 360 centimorgans 72 00:05:03,980 --> 00:05:11,120 per megabase pair equals 1.8 centimorgans. 73 00:05:11,120 --> 00:05:15,590 For humans, we have 2.3 megabase pairs 74 00:05:15,590 --> 00:05:19,730 times 1.3 centimorgans per megabase pair 75 00:05:19,730 --> 00:05:24,590 equals around 3 centimorgans. 76 00:05:24,590 --> 00:05:32,480 And, finally, in Drosophila, we have the biggest gene 77 00:05:32,480 --> 00:05:37,250 is around 0.1 million base pairs. 78 00:05:37,250 --> 00:05:41,860 There are 3.3 centimorgans per million base pair. 79 00:05:41,860 --> 00:05:48,830 So the biggest gene is around 0.3 centimorgans. 80 00:05:48,830 --> 00:05:55,370 So is it possible that these mutations are in the same gene? 81 00:05:55,370 --> 00:06:00,130 All right, so we've calculated that the overall distance 82 00:06:00,130 --> 00:06:05,170 between these two is 8 plus or minus 2.8. 83 00:06:05,170 --> 00:06:12,420 So, at the low end, we have 5.2 centimorgans, 84 00:06:12,420 --> 00:06:20,930 which is really much greater than 0.3 centimorgans. 85 00:06:20,930 --> 00:06:23,940 So these are quite a distance apart. 86 00:06:23,940 --> 00:06:27,380 And so it is unlikely that they're, 87 00:06:27,380 --> 00:06:29,570 in fact, in the same gene. 88 00:06:29,570 --> 00:06:33,050 This size is sort of much too big. 89 00:06:33,050 --> 00:06:38,600 And so you can imagine that, if mutations 90 00:06:38,600 --> 00:06:40,940 are in the same gene-- 91 00:06:40,940 --> 00:06:48,230 like you have this maximum distance of 0.3 centimorgans. 92 00:06:48,230 --> 00:06:52,667 And so what does that say about the kind of cross 93 00:06:52,667 --> 00:06:53,750 that you would have to do? 94 00:06:53,750 --> 00:07:01,450 I mean, so, if you're looking at 0.3 centimorgans, 95 00:07:01,450 --> 00:07:10,470 if we have 100 times the number of crossovers 96 00:07:10,470 --> 00:07:24,310 over total gametes equals 0.3, what 97 00:07:24,310 --> 00:07:29,980 it says is that you actually have to have a lot of gametes 98 00:07:29,980 --> 00:07:33,300 that you're looking at. 99 00:07:33,300 --> 00:07:34,155 You need to have-- 100 00:07:34,155 --> 00:07:37,710 101 00:07:37,710 --> 00:07:41,400 you need to have a lot of meiotic events 102 00:07:41,400 --> 00:07:45,510 because you're only going to get this very small number, 103 00:07:45,510 --> 00:07:50,940 this 0.3, out of 100 gametes. 104 00:07:50,940 --> 00:07:55,320 So you need to actually have very large numbers to be 105 00:07:55,320 --> 00:07:57,450 able to see a recombination event that is 106 00:07:57,450 --> 00:08:00,090 localized within the same gene. 107 00:08:00,090 --> 00:08:03,000 And so the closer things are linked together, 108 00:08:03,000 --> 00:08:07,740 the more meiosis you need to actually interpret 109 00:08:07,740 --> 00:08:09,490 actual genetic distance. 110 00:08:09,490 --> 00:08:12,730 So, before, when I said that crossovers may not appear, 111 00:08:12,730 --> 00:08:16,080 they may not appear if they're really tightly linked 112 00:08:16,080 --> 00:08:22,170 unless you have tons and tons and tons of progeny, 113 00:08:22,170 --> 00:08:25,590 which you can generate if you're using model organisms. 114 00:08:25,590 --> 00:08:27,330 It can be more difficult when you're 115 00:08:27,330 --> 00:08:29,970 looking at human pedigrees and establishing 116 00:08:29,970 --> 00:08:34,679 genetic distances to figure out the exact spatial relationship. 117 00:08:34,679 --> 00:08:38,250 But the whole point of all of this 118 00:08:38,250 --> 00:08:41,880 is that we actually want to be able to start tying together 119 00:08:41,880 --> 00:08:44,130 different phenotypes and different genotypes 120 00:08:44,130 --> 00:08:45,610 on the same chromosome. 121 00:08:45,610 --> 00:08:51,040 So we can identify map distances between two genes or three 122 00:08:51,040 --> 00:08:51,540 genes. 123 00:08:51,540 --> 00:08:55,930 We can look at all of these sort of pairwise interactions. 124 00:08:55,930 --> 00:08:59,160 And we'll talk about how we look at, perhaps, three genes. 125 00:08:59,160 --> 00:09:01,560 But we're able to actually orient them 126 00:09:01,560 --> 00:09:03,750 relative to one another and provide 127 00:09:03,750 --> 00:09:08,000 a specific genetic distance between two of them. 9779

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.