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00:00 um start with viruses then. And so of course viruses encompass encompasses

00:09 . Favorite virus. Our friend Covid is in this group. Um so

00:18 mentioned discovery of viruses um briefly previously just centered around the smallness of

00:28 Right? So filters we talked about um in the context of uh controlling

00:36 uh filter sterilizing solution um that filter to effectively blonde viruses or not don't

00:46 exist. But um and so the is really kind of based on that

00:54 at this disease of effective tobacco plants just taking thinking that bacteria are causing

01:04 outbreak in these plants. Because of this is right in the smack in

01:08 middle of the whole germ theory and establishing microbes can cause disease. And

01:14 that of course was an actual thought okay bacteria or some type of microbes

01:20 this disease um a disease and tobacco and the uh when it looked at

01:29 plants and just took disease plants and them just like you know approach populates

01:35 that scheme um that the uh the plants would crush up, right?

01:43 only they contain infectious agent, brush up, making the liquid paste of

01:49 , so to speak. Take that , run it through a filter.

01:54 well trap the bacteria on top We've got our agent right? So

01:58 applied stuff on top of the filter out of trap, put it on

02:04 plants, no disease. Right? the stuff that went through the fill

02:09 applied that healthy plants boom. They the disease. So they knew they

02:14 doing something super, super tiny. was, was not known to

02:19 Okay. And could not be seen that point because we're talking,

02:23 this is very early 1900s and uh, 19th century. So no

02:30 microscope available and that's what it took actually visualize. And that's the actual

02:36 Mosaic virus, which happens to be the small end of the spectrum in

02:40 of size 29 years is about, the smallest large get rabies virus is

02:46 in that size range. On the end of spectrum. I actually think

02:50 a picture right here at the end the spectrum is but both big,

02:56 uh, towards almost one micron in . So, you know, like

03:02 micro and that's considered by microbes. , they have of course a size

03:08 size range. Okay. And forms forms, shapes, whatnot.

03:13 So, um, but you we've talked before about viruses of mine

03:18 alive. Um, different arguments born that. Um, 16 when they're

03:26 , they're definitely uh, synthesis, . But certainly when they're outside the

03:38 as that here, these guys would okay. And this, sorry,

03:44 area. Right. Are they, they alive in that state or

03:48 But they can remain viable. There's viruses, I'm sure floating around

03:55 and on door knobs and whatnot. uh, you know, are still

04:01 are usually supposed to be replicated. . And so, um, even

04:08 spans, you know, the capabilities they're capable of doing on their own

04:14 spans the spectrum as well. So there's um what are called giant viruses

04:22 greater than one of my right. these actually do have some properties such

04:28 uh their own T. RNA is from in some cases. And so

04:35 are thought to be maybe uh remnants what once used to be a

04:41 Okay. Kind of degenerated. Um there's like uh smaller RNA viruses

04:50 this thing. Right? Um maybe used to be part of a soul

04:56 . So are a kind of became living entity. So it's uh a

05:03 of speculation as to how viruses evolve we can see different forms like this

05:09 maybe we can uh how ever But um they are certainly they've been

05:15 right. There's no life form. don't think there's any life form on

05:18 that doesn't have a virus that affects . Okay, so they certainly influence

05:25 populations that's kind of what the next slides about. But before we go

05:30 um like I said because they've evolved , you know with quote save their

05:36 . They are on forever as Okay. And so um and like

05:43 they evolved. Okay, they didn't and then host cells change their

05:48 So it's back and forth, back forth. Okay. Um and so

05:53 the longest time it was like that viruses I have no good. I

06:01 do is infect cells and kill Right. What can be really about

06:05 ? That can be good. Right the standpoint of uh from ecological stand

06:11 population sciences. Right? Uh that can if you can, You

06:17 going back to recall uh forget the but the aspect of college population

06:26 et cetera, that um if you you have an ecosystem, one species

06:34 dominant, right, then that kind limits the diversity. Right? That's

06:39 only that's that's the one that's really that species and others are are not

06:45 much. There's not a lot of . So you can't control population

06:50 You know, that can lead to . So viruses can promote that in

06:56 . Okay. And so this shows in aquatic ecosystems uh such as in

07:06 oceans the role of viruses in controlling of allergy uh other um microbial life

07:17 the sea. Uh and in doing virus films it and of course that

07:25 cell becomes part of the decomposition, ? The dead organic material. And

07:32 that provides better to those in the . Getting an influx of carbon for

07:38 meta tropes influx of minerals and things your autotrophs. So it benefits that

07:44 . And uh you know, just and of course the virus doesn't um

07:50 its host species is, it's not wiping it out, not making any

07:54 . Okay. It is because you that the members of the population that

07:59 resist the virus. Okay. And but it is controlling numbers.

08:05 So that's where you can see that more diversity current because no one species

08:11 getting I remember the other and so get kind of quite kind of decomposition

08:21 they can produce by infecting your species it and then providing these organic organic

08:28 . Okay. So Because I certainly that I was you know studied microbiology

08:35 little viruses. And so this is course has come to light in the

08:38 20 years or so. Okay. and even then it got there's lots

08:44 virus going on that you're interacting with microbiome and and controlling pipe relations and

08:52 . So um anyway so they do can do good things obviously they can

08:59 bad things as we know them for last two years plus. Okay.

09:04 but regardless um uh I guess like , it's never all good or all

09:10 , it's gonna be expected. Okay um sorry about that feedback.

09:18 let's look at this. Just it's same thing I just mentioned uh a

09:25 ago. So let me see uh is specific to the uh something bacterial

09:32 forms bacterial plankton. Um that's like the bacteria, et cetera. And

09:38 on the right side, periodic viruses things like algae uh and simple microbes

09:44 then the viral shut really just refers me as they get into the host

09:49 reproduce killing the host. And then material um the composition the trident's call

09:58 so break apart then that organic material for others. Um Now.

10:08 so let's look at this question Right. So this will preview a

10:13 bit about viral life cycle. But with any virus, right?

10:19 begins unless this happens first. Will not happen unless we get this

10:26 on initially. Okay, true. I think any virus uh fits this

10:35 . So um while you're thinking about , any questions on the viral ecology

10:41 anything? Yeah. How is it ? I saw the last life,

11:00 signs of the virus park in in nature of its infection. Is that

11:04 of Not necessarily? Oh, I know. Well, the reason why

11:16 is so people Mortality rate of the is like greater than 50% upwards of

11:23 . Okay. The reason for that more not because maybe the weird way

11:27 looks, someone had the form. it really goes to this question

11:32 Okay, let me let me ask this question. I come right back

11:37 . Alright. I think I think would make sense. Um Alright everybody

11:44 . Answer 12 seconds. 8765 frantically letters. Okay, and here we

12:12 . Um Yes. So that's goes your suggestion. So recognition and attachment

12:20 host surface module. That's where it . Or as So back to your

12:27 about Ebola. So viruses we'll talk shortly have this um future about what's

12:37 uh tissue specificity. So you can post range where a virus, how

12:42 different posts can virus effect can affect animals, right? But within a

12:49 host it can also have different tissue . Right? Cole mars infects your

12:57 respiratory track salads, right? Um flu very similar. Uh Ebola has

13:06 number of different self practical effect, is why it's so deadly in

13:11 Um Epithelial cells and which like line vessels and things. And so you

13:18 affecting those blood vessels begin to And Ebola is a disease that basically

13:23 person that dies from it just fluids out of everywhere. You know?

13:26 so it's very invasive and very because affects so many different cell types.

13:30 why it's so deadly. Not so why it's yeah, it can be

13:34 of weird. Big but it's really down to this aspect of being able

13:39 affect different cell types is that Okay, so again it's all about

13:48 , right? And uh the Okay. So remember that they're not

13:57 not cells in the sense that we how we define cells. Okay.

14:04 They certainly can evolve like self But they have the requirement to have

14:11 host to do their functions. So they're small. Right? They're

14:16 . and that small size means they you know they're gonna have a small

14:22 . Right? We'll be able to for as many genes as probably most

14:27 can. And so it's gonna So they relied for a number of

14:35 , rely on the host for a of their functions. Okay. Um

14:40 so the term obligate intracellular parasite. ? They're obligated. They must have

14:48 um Like the obligate arab must have . Obligate anaerobic obligate intracellular parasite.

14:56 parasitic lives inside the cell. Well at least for its reproductive part

15:01 its life. Right? Um The . So at the most basic uh

15:09 virus has a genome and protein That's a common feature of any

15:19 That of course other things can be to that. See caps it is

15:25 protein structure surrounding the genome which can D. N. A. Or

15:30 . Single stranded DNA or or or stranded there's a whole variations.

15:38 Um And so here we're just gonna through the basic life cycle. Um

15:46 so what you'll see is pretty much to any virus but there's gonna be

15:54 . So we're gonna see these variations we look at life cycles in the

16:00 lecture. But of course all viruses cycle begins or doesn't begin unless they

16:09 a particular molecular interaction with health surface . Things like different types of

16:17 Glycoprotein white co lipids, these kinds things that are on the periphery of

16:23 seven host. So and so that's they interact with And that begins the

16:30 . Okay. And so from the . One of the things they need

16:34 that things were asterisks. It depends the viral type. Some maybe some

16:41 some kind of with them. Some . So uh is one of those

16:48 . Okay depends on the RNA viral . Um Certainly the uh transfer

16:56 So they need to do protein synthesis ? Um nucleotides of course to produce

17:04 genome. Um The other thing is virus is pretty much lack metabolism.

17:13 can't give them glucose and hope they're you know break that down the

17:18 02 and water. Right. They do that. They don't have electron

17:22 system. And the things we equipped metabolism in usual cells again rely on

17:30 host. Okay. And so the they rely on from the host is

17:34 that to copy their genome and the proteins and assembly. Okay um the

17:44 so following recognition attachment, recognition and then the viral genome centers and there's

17:53 here. Uh The most number of you see are going to be an

17:59 viruses. So we're looking at first look at bacterial viruses the more simpler

18:06 speaking and the virus is a little complicated. And just about to pop

18:12 head. Why don't you think an virus would be a more complicated life

18:18 in the bacterial virus? Yes, , animal cells are just more complicated

18:26 period. So naturally it makes sense the viral infection that's going to be

18:32 complex in terms of its life Okay. Um Okay. And so

18:39 again the variations we see here is animal virus system. The whole viral

18:45 may enter. Okay. Um or of it. Uh bacterial viruses generally

18:51 the genome enters. Everything else stays . Okay, so uh whatever the

18:57 viral genome enters. Okay. And course it's about making copies of the

19:03 . Uh You have to remember when looking at these life cycles. But

19:09 endgame ultimately is the virus is made of particles. Infect new cells.

19:18 , So what's going on in between ? Right? Basically what we're looking

19:23 now in the cell, what's going is to that end to that

19:29 Uh That goal may be immediate. some margin to come in,

19:34 Make lots of viral particles get likely kill yourself. That's good.

19:40 happened for others embarrassed. Right? so one of the things can be

19:48 integrate with the host chromosome. So maybe the virus doesn't go,

19:51 don't wanna make copies. And then gonna make particles and off we

19:55 It's no I'm just gonna hang out the host chromosome and do nothing.

20:01 , that's one strategy. Uh That's HIV uh virus place. Right?

20:09 many others. Um So the even it does do that at some

20:18 it's going to kick in viral Right? So basically the virus takes

20:24 the cell and forming this with what's a replication complex making to sell a

20:31 factory for it. Okay. And which is all about transcribing, translating

20:38 genes. Okay. Into viral assembling all this material. Okay.

20:44 then of course putting within the assembly , putting the right genome in

20:50 Right. Whatever it may be. N A D N A. What

20:55 ? Okay. So as I the basics of what you see here

20:59 and of course exit the cell. basics of what you see are common

21:03 types. We're going to see Variations different points. Different steps here which

21:10 including exit some basically just lights to . They'll be like 200 or 500

21:19 viruses coming out at once and just and killing the cell. Um,

21:24 come out piecemeal, you know, little bit at a time.

21:29 And so the other thing to remember , you know, um the toll

21:36 the host cell, Right? Host is certainly not having fun while that's

21:43 energy being sacked from it. so um you know how much of

21:49 toll taken on the host cell relates . Can you still very final and

21:57 replicate because we'll see again variations where virus may infect. And just due

22:04 kind of let me just make a at a time and exit. That's

22:10 on the host host can survive that can still replicate albeit more slowly.

22:17 . But the host cell does Okay. Um um but you know

22:24 all depends on the bio type. , so we'll see different variations of

22:29 . Okay. And each has kind their own own strategy for for

22:35 Okay. Um any questions. So uh let's look at an effectivity.

22:44 so I kind of mentioned this second contact. So host range. So

22:53 can be a little bit confusing. there's host range and okay, host

23:00 is how many different physical hosts can that rabies is obvious example. Rabies

23:08 infect squirrels, possums, dogs, , humans, bats would happen.

23:14 . Different hosts. That's host Okay so we brought in a rabies

23:21 brought of course. Right, narrow measles, monks, common whole are

23:29 narrow host range is okay. Um then the trope is um is within

23:38 single host. So say a rabies um infects range can affect multiple mammal

23:48 . Okay but then let's let's look this world that's a host for

23:54 Okay so the squirrel then how many the tissue types can affect?

23:59 rabies only affects infects nerve cells. . Um and then that's it

24:08 Okay so that's gonna be a narrow tissue specificity. Think that way.

24:16 . Uh cold, flu specifically invest the respiratory tract so broad as mentioned

24:25 be Ebola infects multiple cell types in body. Okay. Um So just

24:33 read every more time, repeat it more time host range. How many

24:37 host bodies can effect? Right, vision within a particular host species.

24:49 mean different tissue types. Okay. little bit different scope. Okay.

24:57 Okay. And again, just to reader reader at this point. Right

25:02 recognition. Right. While it's in state. Okay, viruses pretty much

25:09 . Right? I don't even know going on. Okay. But once

25:15 happens potentially then the infection cycle to . Okay. Um Do you notice

25:24 ? Well you may or may not it but you notice it through symptoms

25:28 whatever disease may be. Right. So virus structure. So captain right

25:39 the viral so that the captain is of what are called capsule mirrors the

25:45 units. And they can be and um these may have these geometric

25:52 symmetrical viruses possess that. They can 2020 sided. Uh I guess you

26:01 it. Um But it's not made uh it's made of multiple captured

26:08 Kashmir's. Um But uh but there'll a handful of different actually different caps

26:17 proteins. This one shows you three types. Okay. B.

26:21 12 and three. And they just those in a regular board. It

26:26 mean that each. Um I've lost have a pen here, nope dang

26:44 . Oh here we go. Okay if we see I'm sorry. We

26:52 the different units here. Okay. one there's one there's one they're not

27:00 a different protein. Right? So a three or four or five different

27:05 that combined together. Okay. Again has to do with you know the

27:10 of the violence. You know it it's not big enough to code for

27:14 know, each individual unit. So comes up with a handful of types

27:19 puts them together. Okay. So remember viruses from small gonna be efficient

27:27 that in that way. Um The so you can so this is back

27:34 here. So what you see here hepatitis a virus it's captured surrounding

27:41 That's what we call a naked Okay so maybe viruses lack an

27:47 That's what you see here. Okay here in the interior is the cab

27:56 surrounding the genome. Okay. But all of this around it is an

28:00 . Okay, acquired from the host . Okay. So enveloped viruses are

28:11 going to be primarily if not exclusively the animal self variety. Yes.

28:20 The animal soldier commonly will pick up envelope as an agent. The whole

28:28 and then the potential memory track Okay. And that's what an envelope

28:33 . Right derived from the host cell . The bacteria viruses. That doesn't

28:38 because most bacteria had two cell It's not gonna wrap the cell wall

28:44 . Uh so enveloped viruses that he'll as you see here, viral proteins

28:52 insert into it. Okay, all little 90 things are viral proteins.

28:57 envelope itself is host cell derived. , um Covid is like that.

29:05 an envelope virus. Um Okay. so you often hear the term glycoprotein

29:13 . You certainly do with the uh vaccine was produced against the specific spike

29:23 in the the perfume of the virus the envelope. Uh certainly those are

29:29 attachment. Okay. Um and so having a vaccine to the spike protein

29:39 produced as a result will then bind then that disables the virus from binding

29:44 yourself. The idea there. Um uh so you can see also.

29:54 , so this is a naked virus this too. There's a naked

30:04 Right? So you can have spikes it and not have an envelope.

30:07 have those variations. Um the uh is viruses. Okay, these are

30:19 of course. Okay. Um They be enveloped. Okay, you see

30:26 here, this is Ebola wrapped. the helical envelope shape and then it

30:33 an envelope around it. Um The mosaic virus as well is the

30:41 This virus um tailed viruses are also complex viruses because they have kind of

30:54 features. So you see they're captured viral structure that we're have seen several

31:02 already. Okay, so that contains the captain the genome inside.

31:07 You see all this other stuff. . You see this tube here and

31:13 thing called the collar. Right. see all these structures here all that

31:18 for the recognition and bonding Hill Hotel this this form right here. This

31:28 will actually compress like a spring. compress and shoot the genome. You

31:35 set up. So these types are viruses. It's very common for bacterial

31:41 . The only thing going into the is the genome nothing else.

31:45 That the virus disease that's that's not the case. The antivirus is kind

31:51 a captured everything going in but not with bacterial viruses. Okay,

31:57 it has to do with the cell that surrounds the bacterial cell typically.

32:05 Okay. Asymmetrical. So you may at that and go, well that's

32:09 a symmetrical circle. Okay, well actually kind of a more blondish form

32:16 it. Okay, when you look electron micro graphs of like a few

32:20 code I think in the same way a look round ish. Okay.

32:26 not a perfect circle. Right. it can even change something change for

32:31 little bit. So it's like to around it can even be someone oblong

32:35 of blog. So that's what we asymmetrical types. In fact um this

32:42 is an envelope virus um is kind a variation I guess of the of

32:52 of the capsule structure I've been talking where it looks like this. Right

32:58 we have the genome inside. you can also have this structure over

33:07 . Okay. You see nuclear right? So that structure, it's

33:13 necessarily a formal booking captured around but rather the genome itself is covering

33:21 captured protein. Right? What they nuclear nuclear for nucleic acid caps it

33:28 protein sometimes called captured protein. But genome itself has the proteins like found

33:35 over it. Instead of being like like this encased in a capsule.

33:41 GM itself is like studded with Okay, so that's not uncommon virus

33:48 like that. And so does look that too. So you don't you

33:53 see like like the box captured boxing side. You see the GM itself

33:58 coated with protein. That's very easy Does that make does that make

34:07 Um The uh I don't know when book doesn't go into that detail

34:12 but it makes sense just to think because you're looking at it and go

34:16 the capture that? Right. You really see it captured in this cross

34:19 here, like like one of these . Okay. But you see this

34:24 it's just proteins coding directly coding in genome. Okay, so let's think

34:30 this question here. Alright. Uh reference to RNA RNA viruses.

34:36 Depending on the particular RNA virus type GM could be used as a template

34:43 what are the viruses are for most in the first article viruses, 30

34:49 are. The viruses tend to be one that's more you kind of have

34:52 wrap your head around. Okay. DNA viruses. DNA viruses we understand

34:58 can understand better because they have a genome. You used to see that

35:06 questions so far. What's an example a last week we talked about uh

35:22 uh virus that herpes type viruses? bacteria viruses are those types? Yeah

35:37 many other. Okay, so uh we'll we'll get more into definitely more

35:45 RNA virus life cycles next time. it's good to kind of think about

35:50 now in terms of what he So just think of a R.

35:58 . A template. What can you with that? Okay, um and

36:10 granted him and have all the information the question but we'll try it.

36:30 . See I got my app open God. Shut up. I'm gonna

36:36 if I can answer the question. ? Yes. Yeah. Alright.

36:44 I have 432. Alright, um majority is correct. All of

36:57 All of the services depending on Right? You can have uh it's

37:05 plus plus the virus. You can a minus RNA virus. You can

37:15 the virus that's a plus but uh reverse transcriptase. Okay. And um

37:34 out of space transcript case. so um we'll get into details.

37:43 we're gonna talk a little about at end but then more of it next

37:47 . Um So the nature of the and minus thing. Okay, that's

37:55 not good, I'm not using that of the virus. Plus minus

38:00 Is applicable to any time you're talking the gasses. Okay, it's an

38:04 assets thing. It's not a virus . Okay, it's like um remember

38:10 nature of graphic acids, right? D. N. A. You

38:14 have complementary strands. Right, so strands of D. N.

38:20 Are not identity one, is It's a complimentary copy. Okay,

38:28 so we refer to those two Other names are sense antisense.

38:35 Um we called for the plus minus . Okay, no I'm throwing this

38:42 now because you're gonna hear a lot it, you know, coming up

38:46 the end of that certainly next So we'll look through if you don't

38:51 already, we'll go through with what at. Okay, but because of

38:56 plus and minus strands connected act a differently, it can be templates for

39:02 different things. Ok, so in uh A plus RNA strand is a

39:10 for translation. Okay. And minus strand as a template for our M

39:17 synthesis. Okay and this guy in the chance to reverse transcriptase that's attempting

39:25 make DNA. So it was And D. N. A little

39:27 different. Okay um anyway so just it out, right, see if

39:34 sticks. Doesn't stick will make it in the in the next lecture.

39:40 because we're gonna we're gonna go over some more detail. Okay so here's

39:45 . Just throw it in just for . Uh if you want to throw

39:49 at it feel free. Okay. so has the envelope structure here.

39:55 , an example of that gino that the nuclear capsule, right? That

40:02 these the nuclear proteins directly on top the genome. You don't see the

40:09 captured on geometric captured form. You the captured proteins are directly stuck to

40:15 genome. Okay. It does have envelope. Okay and the spike

40:21 Okay so plus RNA virus. So it can be a template directly for

40:27 make proteins. Okay and so that's something I'm gonna test john but just

40:32 know I don't really know this. covid is of course has an ancestry

40:37 it Back in uh 02 in Hong was the outbreak of SARS uh stands

40:47 sudden acute respiratory syndrome but never that spread beyond that area. You know

40:57 stayed there never spread um MERS is middle Eastern respiratory syndrome. It's it's

41:07 out in the Middle East. Um of course our covid is the most

41:15 version but they share that lineage. . All plus plus RNA. RNA

41:21 uh similar in many ways they all the bat the bat as the source

41:31 these originated. Um So uh the then in terms of what covid um

41:44 onto host recognition are the receptors called receptors uh in LBO herself. So

41:54 think it's I haven't updated this uh the uh omicron version. I'm guessing

42:01 is probably the delta version. Delta of wars in terms of symptoms causing

42:09 . And one of the main aspects its ability to buy. And so

42:13 be older cells of course you're in lungs. So severe forms of covid

42:18 cause uh severe pneumonia. Right Uh information of albi older cells is

42:26 problem the series because now you're impairing . That's what the shortness of is

42:31 of the center's covid uh relates to the self actually affects. And uh

42:39 course this happens. You get information needs to uh um swelling and fluid

42:46 the lungs and that of course leads the bad effects of pneumonia etcetera.

42:51 . Um but the omicron version isn't um deadly uh nor as serious in

43:01 of symptoms as a delta version is but but the omar conversion is more

43:09 than the delta version? What was working? Yeah, more more transmissible

43:16 marking tape is more transmissible but not as lethal. Um not a severe

43:22 with um So I guess I get now. So let's I did.

43:31 got like 234 before school started. uh three days I think was But

43:37 worst was I mean the worst was had they did have a fever like

43:41 and Low grade fever. And as called 101.4 or something like that or

43:47 . I forget anyway. That was worst. But that was about 80

43:52 next day or so. But I think we all heard about covid

43:57 the timing. Okay. Somebody wants chime in with the covid story.

44:01 , we're good unfortunately. So it's . I'm not making light of

44:06 Um Any questions? Uh Yeah. . Uh Yeah, probably about actually

44:27 coming up that has numbers on. let me not speak. So I

44:30 upper range. Um Hold on. I have the number for the fact

44:41 giant viruses I mentioned earlier, that be upwards of more than a micron

44:46 . Those can have I think close the low end of what bacteria have

44:50 500,000 base range. That's gonna be max. I think I would say

44:54 more like um must be the devil we are. Uh 10,000 bases for

45:01 probably probably about the average size. say this is your flu viruses.

45:06 has this amount zika virus we see . So you know of course if

45:11 look at the size ranges right? rabies virus on the low end like

45:18 nanometers in size. So it's probably have much less than this. Maybe

45:22 or so bases. Something like Place a little more because it can

45:26 more genome size wise. So this probably average I'd say in this

45:33 Um And so I do this and to you know, make the point

45:39 science, you know the genome size on how big the viruses. Um

45:45 so the other point is yes they dependent on the host to replicate.

45:51 . But they do of course carry that for virus specific proteins because there

45:57 certainly virus specific proteins that are part the process. Right? The captured

46:02 for example. Right. Um certain these proteins you see in the envelope

46:08 captions, Spike proteins and these kinds things. Right. So there's definitely

46:12 encoded um uh protein to the part the process of the life cycle.

46:20 Also uh you know some do some carry their own DNA for example certain

46:27 viruses. And so that that that certainly be a gene that codes

46:31 So it varies. But the point that there are certainly virus encoded

46:36 Um So the food virus. And in terms of genome so we looked

46:42 um so the Gm can be And D. N. A singular

46:45 stranded. Um Generally in either a form. Okay. Where's the double

46:54 or it can be like this. the flu virus is what we call

46:59 segmented segmented chopped up into four Okay it's actually eight segments I think

47:08 the flu virus. Okay now what can do for it is enable you

47:16 the combination combining segments of these. the thing is when viruses in fact

47:26 um you can have a current infection you can have two flu viruses affecting

47:32 same cell. Okay. And then can have accommodation for example of these

47:37 . Okay. That's the flu viruses next year of D. N.

47:48 . Is from their previous host. ? So has originated acquire uh

47:55 wild water birds and ducks. All . And then evolved into two domestic

48:04 chickens things. Okay uh domestic ducks geese and whatnot. And then then

48:12 slime like pigs. And so you the the humans once the virus you

48:19 see those remnants of those of that , you know of that chicken of

48:26 swine in in the flu virus. uh of course it's constantly evolving

48:34 Uh which is why there's a different shot every season because the flu virus

48:41 . Okay. Um thankfully it doesn't the um high mortality rate,

48:50 It's endemic of course. Um That's where covid is headed is into the

48:57 state. Like the flu. Um uh the segmented segmented you know is

49:04 of a different thing. We don't that a lot. And in fact

49:07 can't think of another example that flu that has this. Um But uh

49:15 I can't remember now but uh is question. Okay, so next next

49:24 things are are not we don't they're considered viruses. Okay. They're

49:33 right? So viral roids and primes . Are not viruses. Okay.

49:41 But they are virus life I Um So viral and prime are simply

49:51 , viral RNA. And that's his A molecule. That's it. No

50:00 nothing that it's an monitor. Pry ins a protein that's it.

50:08 else associated with it. Just a . No Cassidy noted paige acid.

50:12 a protein. Right? Um But fact this is the key. They

50:17 replicate themselves. They both get into host to replicate. Okay. Just

50:22 do it in kind of a weird more. So the crimes being kind

50:26 uh than virus, the viral roids plant, plant um infectious agents of

50:35 , uh fruits and vegetables, different very common to get infected with viral

50:41 . Uh I think the most studied the is the potato tuber spindle virus

50:48 it's called but it does affect other fruits and vegetables. Um To date

50:54 have not seen where in fact some of a human. Okay. Um

50:58 RNA molecules although not double stranded, can fold up and secondary structure they

51:06 complementary base pairing and that and actually structure is very important to its viability

51:13 folds in such a way to see to actually keep it viable.

51:19 so they can infect, It typically plants uh whether whether they may be

51:26 . Okay, because it's not easy affect the plant. Very really cell

51:30 . So a lot of uh plant , right, are typically carried through

51:37 factors when they infect plants causing disease plants. But uh anyway, so

51:45 are certainly a thing among uh certain and vegetables. They are small.

51:51 rely on the host on their primaries make copies of themselves. Okay,

51:57 uh you may not know different types RNA molecules can have on their own

52:03 activity. Right? So remember the ribosomes, ribosomes, the 16 s

52:11 of the small subunit um actually has activity. It's what creates the peptide

52:18 between amino acids. Okay. Uh so this I believe they believe has

52:24 activity as well. And um their is to I've seen where they where

52:32 interact with proteins affecting function but also expression of certain genes. Um beyond

52:44 , i it's not a whole lot about these. Um but you

52:51 it certainly is from an economic apparently it can devastate certain types of

52:57 . Um so that's about all I to say about viral. So the

53:02 takeaway with thyroids is infectious RNA nothing more than that in terms of

53:09 . Okay, now, lions are proteins. Okay, and so mad

53:18 disease. I'm guessing you may have about um back in the 80s.

53:23 was with the thing. Um not much. Not really here in the

53:28 but in Great Britain there was this raised you would see on the nightly

53:35 . They showed cattle and every now then that somebody's farm that were affected

53:38 this um you know, obviously causing neurological conditions, motor skills and things

53:45 that house falling down and whatnot. pathetic looking. But and that's you

53:52 how we would get, it finds . Um The term medical term I

54:06 for the disease. Spongiform encephalopathy. , so the pathology of the brain

54:13 uh spongiform uh is appropriate term because progress of disease. So the disease

54:22 very slowly okay in humans. Um it's um it ends up creating destroying

54:31 cells and in its place creating gaps the tissue or nerve cells used to

54:39 and disappeared. Okay, sort of holes and brain tissue giving the brain

54:47 a very spongy consistency. That's that spongiform. So you studied this I

54:54 initially studied this in uh and sheep think is the first study this and

54:59 saw of course the pathology of the tissue uh in this forum um the

55:07 human, so scrapie is like the and sheet humans they call it Forestville

55:13 disease. Uh I guess you can get it from eating practice of eating

55:20 infected brains of humans. So cannibalistic . Uh I think I've seen been

55:28 to have have this as well that's kuru K. U. R.

55:33 . Um In any case, what this thing all about? Well number

55:40 we have the normal formulas in our brain cells. In fact it actually

55:48 in very many types of cells but prevalent in brain cells. And still

55:55 this day, I have not seen exact function of a pinpoint.

56:00 I've seen most often that may be have something to do with operative

56:06 Weird but that's what I've seen. The normal form is needed. Okay

56:14 um what happens is it becomes an form. It's all about changing the

56:20 structure approach really is what's happening. . And the prion form, The

56:28 is what we call the misfolded misfolded form. You can see the contrast

56:34 the tertiary structure between the two types so the the abnormal form um when

56:41 binds to a normal type, it the shape into an abnormal shape as

56:48 see here. Right? So this through the binding as we has assumed

56:57 prime shape. Okay, you've got chain reaction again, slowly gradual

57:04 Not instantaneous over time you get aggregates these animal forms. They think they

57:12 even like buying together become form like type of thing. Okay. And

57:20 gradual accumulation of these these the death nursing. Okay. Um be surprisingly

57:29 very resistant to various treatments. Physical chemical treatments really have to really if

57:36 know you're getting weak aspect of the which don't worry about the right number

57:40 cases. People died of priority to U. S. Is like

57:45 Okay so that's not something you need worry about but just for grins.

57:50 you had to study the head. cook the hell out of it you

57:54 ? Very very well done. Apparently it's very resistant attempt as well

58:02 maybe because the way it folds up sure what to do with it.

58:07 There is and so you see in cross section of diseased tissue the these

58:14 the holes basically the where neurons used be plaques. I think they also

58:19 these things plaques as well so um course accumulating those and this is a

58:24 spongy kind of brain and you don't a spongy brain. Okay. Unless

58:28 absorbing knowledge right now that the brand gonna absorb knowledge holding it. Um

58:37 and this just shows a little cartoon of how the red the green are

58:43 normal prime proteins and the red Bad words that are forming and they

58:48 obviously accumulating in this neuron. Okay and then they can they can migrate

58:56 other cells and start the cycle in cells. Okay um Any questions.

59:06 so prions are proteins that are Vai roids. RNA molecules are

59:12 Neither do we consider them to be they're just kind of these unique virus

59:18 things. Okay so here's a So we're gonna kind of wrap up

59:28 classifying viruses. Okay. And having gone through the structure of viruses.

59:38 well differentiate viruses with different things we've we've already seen now you can maybe

59:44 pacify them by. Okay I'm sure can come up with a number of

59:49 things but not everything we'll sit. you from. Okay one down

61:04 Here we go to one. You be able to do a carbohydrate fermentation

61:16 I. D. Purposes. Okay viruses don't do that. Okay um

61:24 you know hypothetically you could use all except for B to identify and you

61:31 they are used but uh kind of standard is the Baltimore classification he's the

61:41 of of co discovery of the HIV retrovirus. Um so what this is

61:52 based on is a genome type and route to get to expression of the

62:04 of RNA the protein. Okay how it get to that point? So

62:09 group one and two R. N. A viruses double stranded,

62:13 stranded respectively. That I think is of easy. Right. It's easy

62:19 to wrap your head around because that's you're used to seeing. Right.

62:22 transcribed to RNA M. R. . And then translating programs I think

62:28 pretty easy to grasp. Right? there aren't a viruses and there are

62:32 variations. And so here's the key this box. Okay so plus

62:41 N. A. Is a plus RNA. It contains the coding information

62:51 be translated into approaching. Okay. And so we're looking at RNA viruses

63:03 not all but most require this in RNA dependent RNA polymerase. It's a

63:12 enzyme. Okay we don't have that do other life forms because um what

63:23 of memories do we have? No we had we just have it's called

63:34 it's called R. N. No it's cold D. N.

63:40 . Dependent on income race. That's we've got D. N.

63:45 Dependent are because our our unemployment is our D. N. A.

63:53 . Approach. Right? So we DNA dependent not are we don't copy

63:59 is into our. Okay um but three groups of RNA viruses do

64:07 Hence they have a gene for that ? That they're gonna get it from

64:13 host. Okay um Okay so group 4 and five. So with the

64:26 threes which have double stranded RNA they're have a plus and minus strand.

64:32 remember so you can see that plus relationship is here as well.

64:38 D. N. A. I it's about time you take acid.

64:43 ? It's not about the virus. take acid that's why we make the

64:46 minus designations. Okay? Um So the double stranded RNA bars it's got

64:53 has one of each. Right so we can copy the M.

65:00 A. We can copy to transcribe miners stranded strand. And uh we're

65:07 . Okay then we can use that translate the um now the other two

65:13 . All right have um one has plus are in a group four group

65:20 minus RNA genome. Okay so whenever copy a strand is going to make

65:29 complimentary copy, we know that. so plus copies into a minus and

65:34 into a plus. Okay so for plus strand you may be thinking okay

65:42 a plus Arnie a virus with this . Okay I know that that I

65:49 from this box that that can act an M. R. I can

65:55 proteins out of that. Okay so don't need to copy that at

66:03 I got a genome that can be directly to proteins. I go to

66:06 hotel boom. Why do I need make a bunch of copies of

66:14 Why? Thank you. Ever went in the first line and we talked

66:21 viral replication? Think of the end the indian for viruses. What?

66:29 lots of little viruses? Right. gonna be in each one of those

66:33 viruses copy of the deal. So about making stuff so that that virus

66:41 is gonna make lots of copies of R. N. A. And

66:46 has to happen that way. Believe if it could go if you can

66:50 a bunch of the copies of that that. Of course it would.

66:58 it can't it just doesn't happen. It has to go through. It's

67:04 the rules of nucleic acid base Alright you can't it doesn't work that

67:08 . So they have to go that . Maya's then crappy got into a

67:14 . So that's the thing you got wrap your head around. Right?

67:20 so but it's just following the rules basement. It's all it is.

67:27 can work it out for yourself and a paper right? You're not gonna

67:31 okay A U. G. We're gonna copy that into A

67:39 G. C. No the copy U. A. C.

67:47 Okay that's that's all that's going Nothing magic. Okay but for the

67:53 that is a single stranded RNA virus the hoops that has to go

68:00 Okay so um that's why you see kind of seems to be back and

68:06 . What's this all about? That's why. Okay so for the minus

68:11 the virus it can make copies of And boom it's got M. RNA

68:16 now been translated protein but it's not . It's not done because why in

68:25 end game to package into all the particles. It's going to make so

68:33 have to make copies of that. hence we go and draw. So

68:38 gonna because I'm ending where the RNA ends. That's why I'm not

68:42 it. But what will happen is will then go into minus R.

68:47 . A. With another round of . D. R. P.

68:51 short. Okay. Only because it those guys to stuff into all the

69:00 viruses is gonna make right? So remember the endgame, right? But

69:05 fact the end game is gonna be lots of viral particles. Each one

69:10 is a genome and plus a bunch other stuff. So that's why it

69:16 does this this way. Okay. And so the last one here is

69:23 . That's the oddball. Right? they use their RNA as a template

69:27 make DNA. Okay, reverse transcriptase that then uh then use actually um

69:39 DNA polymerase to make the other strength strength. So here, again,

69:48 , base pairing rules. Right? is A plus R. N.

69:51 . Carbon into a minus D. . A. Right, same,

69:58 . Right? That's why it happens way. Whether it's RNA RNA,

70:01 DNA or anything. And then um finally it would transcribe the DNA form

70:10 make the M. R. Transit. So again, it's all

70:16 in this classification scheme. It's all how do we get two here?

70:25 , because of course that's important you get synthesized by a protein,

70:29 Because remember there's two things going right and just keeping it keeping the

70:34 structure. Right? We got to that. Alright. Captured any proteins

70:43 make that. And whatever else is knobby things. Right. Maybe in

70:48 like this. Okay. And then gotta stick a genome it.

70:53 So all that happens in the course a viral infection. You're gonna make

71:00 that stuff together. Which is why have to the virus. And then

71:06 you go through these different staff, . Okay. Um, so,

71:17 , real quick. Okay. Don't this. Table number one.

71:23 Just threw it in just to show really talking about RNA viruses at the

71:28 of a lot. So many viruses familiar with are in those two

71:33 Right? Your covid, your west , which is endemic in this

71:40 Uh, poliovirus, measles and mumps rabies flu. All all your

71:47 Alright. Are in the among the RNA viruses. Okay. All

71:53 You guys have a lab something. do others continue studying others. I

72:01 . See you next

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