All language subtitles for 17031x_MH_Mapping_Linkage_06_Considerations_v1-en

af Afrikaans
sq Albanian
am Amharic
ar Arabic
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bn Bengali
bs Bosnian
bg Bulgarian
ca Catalan
ceb Cebuano
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
tl Filipino
fi Finnish
fr French Download
fy Frisian
gl Galician
ka Georgian
de German
el Greek
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
km Khmer
ko Korean
ku Kurdish (Kurmanji)
ky Kyrgyz
lo Lao
la Latin
lv Latvian
lt Lithuanian
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mn Mongolian
my Myanmar (Burmese)
ne Nepali
no Norwegian
ps Pashto
fa Persian
pl Polish
pt Portuguese
pa Punjabi
ro Romanian
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
st Sesotho
sn Shona
sd Sindhi
si Sinhala
sk Slovak
sl Slovenian
so Somali
es Spanish
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
te Telugu
th Thai
tr Turkish
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
or Odia (Oriya)
rw Kinyarwanda
tk Turkmen
tt Tatar
ug Uyghur
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 0 00:00:00,000 --> 00:00:06,100 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

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