All language subtitles for subtitlesessai

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: 1 00:00:03,330 --> 00:00:08,820 Alright, so let's move into interpreting phylogenies. What did they really mean? what we're looking at them. 2 00:00:10,020 --> 00:00:21,990 Sophie, remember the convergent evolution. There are homologous structures. Their origin sets hox genes, genes that control development, that will control similar development in similar organisms. 3 00:00:23,340 --> 00:00:33,210 So phenotypic, engineered to be, silom and larry's are going to be a result of shared ancestral characteristics. Okay, so we look at the animal group and we look at them. 4 00:00:34,530 --> 00:00:44,850 Vertebrates. We look at their berlin sake. They are going to have very similar structures pay. Their bones may be a bit different, but you see the same pattern. 5 00:00:46,350 --> 00:00:55,800 We can also use dna or rna sequences. These can be homologous if they're from a common ancestor. So the degree of similarity of these molecular betas. 6 00:00:56,913 --> 00:01:00,300 Is what we're using to see if they are malignant or not. 7 00:01:03,930 --> 00:01:19,680 Analogous characteristic will be like a bat swing compared to an insect wing. Kai the materials are that they're made from are completely different: the genes that control their development, or different control mechanisms, different control genes. So 8 00:01:21,600 --> 00:01:22,980 Convergent evolution. 9 00:01:24,037 --> 00:01:40,890 Means just because you have different women, different lineages, they're not of the same lineage, they're not evolutionary related to each other. They don't have a recent common ancestor. They may have a big way distant common ancestor, but they do not have a recent common ancestor. 10 00:01:42,180 --> 00:01:48,180 But what they did have is they did have a similar selection pressure for that particular adaptation. 11 00:01:49,230 --> 00:01:59,640 And so flight in flight evolved independently in these two groups. K just like the compound, i compound, i have 12 00:02:00,750 --> 00:02:13,560 Hire melissa, such as cuttlefish and octopus, compared to the vertebrate eye, to completely different lineages but similar selection pressures. You get that. 13 00:02:15,840 --> 00:02:25,410 You get that compound, i get that vertebrate. Get nine compound, i get that similar. I structure to see: 14 00:02:27,780 --> 00:02:32,370 So the bat and b when they have the same function, but they evolved independently from each other. 15 00:02:35,910 --> 00:02:39,900 Monophyletic. Clade k how powerful medic. 16 00:02:41,880 --> 00:03:00,330 Polly valetta clades. Those clades are not recognized as true plates. Okay, to be a clade and to represent a relationship, a mountain, you'd have to be a modern, flooded clade. Okay, and these right here are going to be monophyletic: it's gonna include all the branches. 17 00:03:01,200 --> 00:03:06,750 Including it's ancestral species, of all the groups coming off of that branch. 18 00:03:08,070 --> 00:03:08,460 K. 19 00:03:09,690 --> 00:03:24,090 So ancestral species in all of it's descendants. You can't just pick two groups and say they're related. Doesn't work that way. Okay, so not played. You can't say animal and plants for my plate. You can't do that, you have to include. 20 00:03:25,380 --> 00:03:35,010 Either other- you carry ids there- or some other ancestral species that have a similar characteristic that you're looking at. 21 00:03:36,960 --> 00:03:41,010 So let's look at some important terminology. When you're looking at a clatter gram, 22 00:03:43,590 --> 00:04:00,990 First thing you want to pick out is your shared ancestral character stick. This is what is found in the testicle group. Okay, so in this case i want to say the vertebral column would be the ancestral characteristic. I'm going to get back to the lancelet in just a minute. 23 00:04:03,570 --> 00:04:14,400 A shared derive characteristic is a characteristic unique to that played but not to the ancestor. So, for instance, 24 00:04:16,830 --> 00:04:17,670 Legs. 25 00:04:18,870 --> 00:04:38,880 Would be a share, direct characteristic of everything branching off from frogs, lizards and rabbits. The fish, on the other hand, do not have legs. Okay, so that is not as your direct characteristic fish, but is your drug character. 26 00:04:38,910 --> 00:04:42,840 Stick of the clade coming up. Cause of the frogs, lizards and rabbits. 27 00:04:44,520 --> 00:04:54,090 The outgroup, a species or group that has birds before the lady just study so bramson invertebrates and those that have habitable. 28 00:04:56,070 --> 00:05:04,530 Vertebral column. Okay, then my outgroup of this particular program would be the lancelet cape. You say don't have one. That would be my outgroup. 29 00:05:05,910 --> 00:05:13,530 Okay, so my aunt shared ancestral characteristic would be my vertebral column, my outgroup. My outgroup would be the landslide. 30 00:05:15,480 --> 00:05:17,280 So when you're deriving these. 31 00:05:19,290 --> 00:05:38,640 You're looking at maximum parsimony. The simplest explanation is the most consistent came maximum likelihood. On the other hand, it's going to be used with molecular data k. It's job is to reflect the most likely were like relationship based upon the computer models and mathematical models. 32 00:05:38,730 --> 00:05:52,770 That of possible dna changes. So it's based upon the rules of probability, it's based upon what we know about how teenage changes cake. So there is a difference between the maximum likelihood and maximum parsimony. 33 00:05:54,330 --> 00:06:14,160 With biotechnology and being able to sequence the genome. We're getting a lot of dna data, data on the genome of organisms. We're using this to form follow genetic traits, but how do we know which tree is the most likely? and that's where we come in. 34 00:06:14,250 --> 00:06:34,320 To maximum parsimony and maximum likelihood. Maximum parsimony is going to be the evolutionary tree that is going to be based upon the newest evolutionary changes so that fewer changes made is the tree. 35 00:06:34,440 --> 00:06:43,800 That is probably the most likely. Maximum likelihood, on the other hand, deals with dna data alone and the rules of probability. 36 00:06:44,910 --> 00:07:02,100 So which tree fits the rules of probability and the dna data? both are going to use computer programs to analyze the data to help scientists generate these phylogenetic trees. 37 00:07:04,650 --> 00:07:21,690 So horizontal gene transfers cake. These are going to be gene transfer for lunging into another, between different domains, through the exchange of transposable elements such as plasmids, viral infections. We know bacteria, bacteria transpose. 38 00:07:23,430 --> 00:07:42,540 They have conjugation, they have horizontal gene transfer or they have transduction. They have conjugation and transformation that allow them pass information from one to another. Eukaryotes also show some carrots. Ten show horizontal gene transfer from one to another. Molecular data is there. 39 00:07:43,860 --> 00:07:47,160 We looked at it in your molecular genetics. 40 00:07:48,270 --> 00:07:50,310 So because of this. 41 00:07:52,650 --> 00:07:54,780 We're changing our. 42 00:07:56,160 --> 00:08:10,830 Initial family tree into what we call the ring of life model, and when we have to understand this meme to previous models are wrong. It just means as we get new information, we're going to change her models to help us visualize that information. 43 00:08:12,240 --> 00:08:17,280 And horizontal gene transfer is so important to the 44 00:08:18,570 --> 00:08:22,800 Domains: information of the domains that. 45 00:08:25,410 --> 00:08:29,790 We represent those primitive ancestral. 46 00:08:31,170 --> 00:08:43,350 Organisms as a ring showing that they did have those permitted procurers, did have horizontal transfer. Tween them and eventually lead to your different. 47 00:08:45,180 --> 00:09:04,530 Domains of the curia, archaea and bacteria and came up there without being rooted in one particular aspect or another, because, depending upon the genes analyzed, okay, you're going to get some genes that are going to be. 48 00:09:04,560 --> 00:09:09,150 Similar all throughout the domains and then some genes are going to be weird, vastly different with. 49 00:09:10,860 --> 00:09:13,110 So in terms of their. 50 00:09:15,330 --> 00:09:16,170 Sequences. 51 00:09:17,490 --> 00:09:17,861 I. 52 00:09:20,100 --> 00:09:26,100 So with horizontal gene transfers. To show the importance, this is a new model called the ring of life model. 53 00:09:27,660 --> 00:09:47,280 Hope this clarified some information on classification. What we're gonna do is we're going to look more in detail at different phylogenies for various groups of organisms in the next section, when we talk about diversity of plants, diversity of animals. This is not the last time you're going to see it. This is just an introduction into how we 54 00:09:47,550 --> 00:09:57,870 Supply organisms and how, what data we use to do that. Okay, and so it's all going to be based upon a whole bunch of data and molecular data. 55 00:10:01,650 --> 00:10:04,650 Through fossil, later geological data. 56 00:10:06,860 --> 00:10:09,620 Biology, behavior, all of it. 57 00:10:11,150 --> 00:10:16,850 All these characteristics are used to help determine relationships between organisms. 58 00:10:18,200 --> 00:10:19,040 Until next time. 59 00:10:23,240 --> 00:10:24,890 This has been bilaterally. 60 00:10:29,150 --> 00:10:46,280 Wow. A point two had a whole lot of information. We saw how molecular genetics and evolutionary processes came together to form a graphical representation that we call a phylogeny. We also were able to get is derived character. 61 00:10:46,310 --> 00:10:52,850 Restricts or shared characteristics as a branch point on phylogenies to show how evolutionary processes 62 00:10:54,020 --> 00:11:14,090 Gained or lost traits over time in a variety of speciation events. We also saw how molecular data is consistently influence the influencing evolutionary relationships. As we get that new data we're going to use, 63 00:11:14,120 --> 00:11:20,090 These relationships to help explore diversity and plans and diversity in animals. 10291

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