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00:00 Alright so we're finishing up Chapter So uh so um it's it means

00:10 blackboard quiz, it's just different only terms of the uh a little more

00:17 . Okay so basically covering stuff that been talking about since the 19th of

00:23 , I think we officially started discussing . So um so basically chapter 1234

00:32 of chapter five because we'll get into on thursday. Okay so there'll be

00:37 of that on there too, So know more or less comprehensive. Uh

00:44 because that's longer, it's gonna be 25 or so questions, you'll have

00:49 45 minutes to do it. So you know for planning purposes just know

00:56 gonna take a little longer for some you, so plan for that.

01:01 uh so that's coming up friday. um Smart work do, so Smart

01:07 a little different. Chapter four is monday, so there's always stuff due

01:11 monday, but then two days later the chapter five. So I I

01:15 it that way so that you had about it, you could actually you

01:19 actually have at least a couple of to ask a question before the exam

01:23 up, right? So the exam on the 17th 17 18. So

01:30 sign up on casa if you haven't And uh exam one is like this

01:36 ordered like 35 questions plus remind us you have an hour. Okay so

01:46 you got any questions or anything? . Alright okay so uh so I

01:56 recap, so here's what we've gotten so far. We didn't cover uh

02:03 yet. Okay we'll start with that but we'll get into dynamics of growth

02:13 of growth. Uh concentrating on here's you need to grow of course focusing

02:19 microbes. C. H. M. P. S.

02:22 Um We provide those in different forms on the metabolic type. Let's say

02:31 your chemo autotrophs better versus a chemo of growth. Right? Carbon requirements

02:37 different C. 02 versus something more . Um And so then we put

02:43 things together in the medium and a medium. And um and uh there's

02:50 types of growth medium and complex right? And then uh then we'll

02:55 a little bit today about different ways can use culture to kind of find

03:00 you want. Um And then briefly forms of growth media and some other

03:08 of growth media. And then we'll into the growth growth growth calculations which

03:14 not complex but we'll go through a of examples. Uh I'll give you

03:18 blow by blow. So as uh I haven't said this already, you're

03:23 to bring a calculator. Right? this got to do is multiply divide

03:29 and do a log function log base . In fact that's all that's required

03:35 it's only two problems for sure. three but a couple of problems you'll

03:41 the formula. You'll have the formula need. So you all you gotta

03:45 is just punch numbers. Okay hopefully them in correctly. Right so we'll

03:51 through all that. And what Uh Okay then we'll go through when

03:57 inoculate a growth medium. What are stages of growth that goes through what

04:03 at those stages? So that's kind pretty much uh Then that's you that's

04:07 one. Part one compared to part of our floor is comparatively much more

04:13 . Part two is already only 22 biofilms. And end of course and

04:17 it. Okay we may get into think we'll probably get to biofilms at

04:21 the start of that today and finish and then do chapter five or chapter

04:26 is relatively short as well. It's control micro microbial growth. So looking

04:31 some physical chemical um methods of Some of the terminology involved when we

04:39 we talk about controlling growth like bacteria static these kind of firms. And

04:44 uh and then what the other section is the response to oxygen. So

04:49 have various responses to the presence of . Kill some some requiring some can

04:56 with that. So we'll look at basically is gonna wrap up in this

05:02 . So um let's look at this here. Okay so we've seen this

05:08 before. Right. Hopefully we know kind of medium this is. All

05:13 . The question is a little So what would just yes or

05:18 Yes or no. What a bacterium to be a Histamine Octa trophy.

05:26 able to grow on this medium. . Yay or nay. So obviously

05:33 operative term to know there was just beans amino acid. Alright. And

05:41 this type of medium is a defined , correct? Fine, is that

05:50 ? The same one? Complex, beef extract make it complex. Um

05:59 right. We'll put the timer You have to do too much thinking

06:02 . It's you know yes or Okay, counting down from 10.

06:31 , Let's see. Is it Okay. Um Of those 93 who's

06:43 93 that answered? Yes. Why it? Yes. Right.

07:02 Well you got a right um It yes. Okay. So all those

07:10 which is the one that can supply history? Probably yeah, beef

07:18 Right. So it's yes. So the is deficient in this case deficient

07:24 being able to make history. Okay , this is supply. Okay,

07:30 if you had a complete a complete uh just defined medium. Right?

07:36 only only having these as your Right? Just those that are boxed

07:45 . That's the middle meeting that won't the beach. Right? You're gonna

07:49 to add history into it to make grow. Right. So these two

07:56 are literally when you see these two or you see soy extract or soy

08:03 . Right. Think about a plant plant. Just in your media.

08:10 ? Beef extract kept own think of cow is in your media okay,

08:16 muscle, right? What's in All kinds of stuff? All kinds

08:20 preformed nutrients, certainly all the amino are gonna be in there ready to

08:25 . Right. So yeah it's so you're studying these kinds of oxygen tropes

08:34 of different types you have to make you're supplying nutrients, you can supply

08:41 in different ways. You could just could use just these. Okay and

08:51 these make that user defined media but and you can buy off the shelf

08:57 anxious to dean to it. You do that. So any questions about

09:04 . So alright, what would This introduces this isn't a clear

09:11 Um So this introduces another subject. what would grow on this medium?

09:20 don't focus on the amounts. Just on the ingredients. Okay um Is

09:30 missing? Remember your your six Yeah six left. Remember your six

09:44 . Something missing there. There's a , here's a hint what's missing

10:01 nitrogen. I'm old. I can't in a a so uh so it

10:11 grow on this thing. These types bacteria into fixing bacteria. Um They

10:20 into from the atmosphere and bring it the environment whether it's aquatic or terrestrial

10:26 , that's what they do. We essential. That's an essential function for

10:30 because doing that ultimately allows you to these things. Which plants allergy other

10:43 approach need that stuff to grow, ? We'll talk about natural cycle

10:47 But um so this is an example so in our context right now this

10:53 an example of enrichment culture. so you are purposefully manipulating the nutrients

11:01 your growth video so you can savor growth of a certain type.

11:07 now there's a nuance are subtle distinction this medium and selectively. You can

11:22 think of any growth medium as being because not everything grows on some things

11:28 grow up on neutral dog, But a selective meeting. Okay.

11:35 one where you are actively adding agents chemical too. That will prevent something

11:43 growing. Okay, that's what it's . You are actually getting a page

11:49 you know when you hit it. type that type would happen.

11:55 Enrichment culture is we're not adding something , you know, chemical inhibit growth

12:01 something. We're just modifying nutrients to the growth of what we want to

12:06 this medium. Or nitrogen fixing That's how you find it. You

12:12 you could change something else to find types, right? Because these are

12:16 found in soil. If you're in oil and just put it on like

12:23 auger, you're gonna get so many bro right? Yeah, maybe a

12:28 fixer grows in there. It's gonna so far outnumbered by these other

12:32 Okay, so you favor the growth giving something that they were like all

12:39 , take it or not. That's limit lots of stuff. Okay,

12:43 just want to fixing bacteria so it enriches for those types. Any question

12:51 that? Okay, so um So this is fastidious bacteria. So

13:02 anybody know just out of the Forget the context of bacteria. Just

13:07 word in the dictionary, anybody Fastidious? Are you fastidious? Are

13:13 fastidious? Big and fastidious meaning high . Are you high maintenance? Okay

13:29 uh we all of us are fastidious certain ways. It means we're very

13:37 exactly right. You're fastidious. You're one who said salad restaurant notice I

13:44 . Do you have I don't want cheese on it. Do you have

13:47 dressing made in the south of You can put on it, you

13:50 carrots out of radishes. Takes matters . Put that right. That's a

13:55 person. Very exactly. You Okay. That's all right. So

14:08 this means context here is you know dealing with a fastidious microbe when you

14:14 a list a mile long of you have a Okay, so you

14:20 see the growth meeting here. You we the basic stuff right that we

14:25 familiar with here. Right? But all of this amino acids nucleotides,

14:32 . This is very very uh a bacteria. I've never had a list

14:39 long. Okay so it's a lot requirements. Typically they have a lot

14:44 deficiencies and you have to add a of things for them to grow.

14:47 the definition of um. Alright Culture . We talked about this before.

14:56 liquid versus solid medium. There's uses both. Okay um you know the

15:03 medium gives you a a manipulable version the microbe that you can do stuff

15:14 . That's kind of a I just that that definition it's but you put

15:18 on you can take out of a and put on a plate right like

15:24 . And get now you can see the different types of you can then

15:28 a column and transfer it to a . Work with it in pure

15:33 Right? You can then put this into liquid media and growing up.

15:39 ? So each has the right place culture um liquids if you want to

15:47 large volumes of cells up and you to harvest them and you can use

15:50 for different purposes. So each has use um selected media just mentioned.

15:56 So they contain specific components that will the growth of certain types. Very

16:03 is to add chemicals that inhibit growth of gram positive types. Some that

16:08 inhibit growth of gram negative types. there's chemicals that can be kind of

16:13 much specific for those groups. Okay the and that's the nature of a

16:19 medium. So very all but a number of these selected were developed for

16:27 uh uh wastewater treatment for the purpose providing clean drinking water water quality

16:36 That's what I'm trying to say were for water quality analysis. Right?

16:41 you want your drinking water of course it's tested to be free of water

16:46 don't need to know this, but just gonna let you know of holo

16:51 . Okay, performs in water are of people contamination. You don't want

16:58 take that. Right? And so a lot of the media the selected

17:03 were developed for to be able to these quantitatively. Right and two first

17:10 by definition of gram negative um lactose . Okay and so the media was

17:20 media were formulated to kind of identify and there's like a lot of different

17:25 that that are used here. And one of them you see here is

17:30 tones and Terek Auger. And so can actually differentiate three properties on

17:35 It's selective for um gram negative. there's asians and pentagram positive bacteria.

17:42 and so um the lactose fermentation Is seen as a color change.

17:49 let me just bring this up so can have selective media that is completely

17:56 to favor one of one type or . You get a chemical 20 it

18:03 you combine that with um you combine with um a differential medium. Okay

18:11 a differential medium is one that gives a color reaction. Some other visual

18:21 reaction that occurs. Okay so over for example, it's not easy to

18:32 . Probably. But here you have a yellowish colony. Okay. And

18:40 more opaque colony like that. that's difference between and non okay,

18:47 colony electrodes fermenter colorless, Right? lactose remember. Right. I said

18:54 right. Yellow colony black toaster. so um and then there's agents in

19:00 200 g positive gram negative bacterial girl this. They ferment lactose you say

19:05 that's a cool thing. Like any . Okay black color. This actually

19:12 for um H. Two S. . Okay, you put things like

19:19 in the medium and the material can that. It gives off HTE two

19:23 . And it precipitates as a black . Right? So actually you can

19:27 differentiate, right? That's the differentiate between black plus fermentation, non

19:32 verse and production. Okay and this specific for these two types here.

19:42 I'm another. Okay so both gram , both nonblack tremendous. So you

19:49 differentiate them based on production and so . One does one does.

19:52 So just an example of that's what media does for you. So if

19:58 combine it selected narrow down but can and then making differential you can see

20:04 metabolic properties in the cells. And for wastewater treatment or for water quality

20:11 . Right? Like to have something can easily be used by perhaps people

20:17 don't have the microbiology background but they easily identify. Hope this one is

20:21 fermented. It's not it's a cold . Okay, so on this side

20:26 a strictly differential media blood dog. the little halos you see here the

20:34 areas, that's where they've basically lISZt red blood cells and growth. So

20:40 that do that. This is typically um streptococcus species, we'll talk about

20:47 later. Um But uh in this a bunch of different types of strep

20:55 , scarlet fever, rheumatic fever, etcetera. Right, so different members

21:03 that group will get different reactions of up. Right, you can kind

21:07 identify with groups based on do they this complete what we call complete Hamal

21:13 or something else? Right, so , differential differentiator between this and that

21:22 and like the Bose. Okay, in lab will be doing this in

21:29 weeks lab six. Okay. Um questions? Yeah. Right uh

21:43 So if you have strep throat it's you'll take that swab and throw her

21:48 . So if they see this kind reaction that's indicative of streptococcus which is

21:54 the strep throat and they administer the antibiotics. So but things are getting

21:59 diagnosis. Yeah. Yeah. Mhm. Oh I'm sorry.

22:10 you're right. Okay, no No, I need everybody to see

22:13 so that's good. Yeah, All right. Um Okay, switching

22:20 to growth now. Okay so we're go through this doesn't have to question

22:24 . So um I'm just gonna introduce terms. We're gonna talk up here

22:30 15 minutes, 20 minutes about Quantitative bacterial growth. This is just a

22:36 up. I'm sure you know this not gonna be a jaw dropping thing

22:40 you. But anyway it's a way kind of introduce some terms.

22:44 so we have a bacterial population starting 10 sets. Right? This is

22:51 just illustrating how the difference in doubling which is the time for a population

22:59 cells to double. Okay. And how do you think? four

23:06 W just 15 minutes time. It was like that big a difference

23:10 terms of results that it actually Okay, so 10 cells every four

23:18 ? What's the population sign? 20 ? What if it doubles every 15

23:22 ? So two different types. One a 15 minute time when it's a

23:27 hour. Okay. Same parameters for . Right. 10 cells starting 10

23:32 . 20 very basic equation. Uh zero N. Is population size,

23:41 ? Population size at some point in zero. And then sometime later right

23:46 time this parameter here relates to the kind of exponential growth. Right?

23:56 is a number of generations. Okay what this is. And so The

24:02 you know, exponential growth is like . So just two to the N

24:09 . Okay so how many generations in hours? Well yeah before are doubling

24:18 ? Uh you have five generations? equates to just plug that value

24:30 They're the end value to the Right? So I just thought it

24:34 a place here then over here with 15 minute time that's one generation every

24:42 out like .25 and 15 minutes. uh about 20 hours we get 80

24:49 generations versus five. Right well 27% to 25th. Right? That's a

24:58 obviously. Okay so definitely time obviously a you know a significant difference in

25:08 . Okay between these two um Now you achieve this growth in nature?

25:18 I'm not gonna get 10-25 cells. doubt it. Okay but there can

25:23 spurts where you have rapid growth but in nature of course everything's competing right

25:31 nutrients and space and resources. So there's not any comment that you'll get

25:39 growth. Right? But that it happen on occasion. Okay so what

25:44 gonna look at is um how we up with these numbers. Okay we

25:50 to start with cells we get a time. Um And so we look

25:55 a couple different equations. So let's of look at it here. Okay

26:01 of course we're talking about in a of course you can think of a

26:07 in different terms right? It can be that one cell doubling, forming

26:12 selves. That's a generation. But from a more practical standpoint we

26:18 refer to as time for a population double. So we can take a

26:22 of a culture and they go okay long does it take for that number

26:27 double? Right. And that gives generation time. Okay. Very common

26:32 used in measuring microbial growth. Okay as mentioned you can have exponential

26:39 Which is this uncontrolled growth. And um intro bio you went through

26:46 ecology and you learned the J. growth? Right? You can have

26:53 . Right? But this is time in our case we're right number of

27:01 . Right? So you can have J. Shape exponential. This doesn't

27:07 forever. Right eventually this well it out at some point so we'll go

27:16 that in a little bit. But point is is not it's a it's

27:20 finite thing. Exponential growth. Okay while that's occurring you especially with bacteria

27:27 gonna have lots of cells being produced quickly. Okay um And so we

27:33 started equation second go right for but publishing sizes another generation which is end

27:43 haven't seen the example we know you that numbers can increase very quickly.

27:49 uh so I'm sure you also know log base 10. Use that in

27:57 When when numbers or rapidly increasing immense . Right So I think of the

28:06 scale. Right? That's a log base 10 scale. Okay. Um

28:12 so kind of you can kind of that scale to make it more more

28:16 by using log base 10. And that just shows your typical growth

28:22 that you where you would use log 10 and this represents that kind of

28:28 growth. Okay? So so let's at so this equation here has limited

28:40 it has some use. Okay. generally when you begin talking about really

28:45 numbers, um making other kinds of and estimates you'd like to more easily

28:53 in. Okay. And so what gonna do in the next slide,

28:58 not gonna I'm just gonna show I'm not gonna expect you to derive

29:02 on an exam the equation. But the bottom line is we're

29:06 We're gonna take that end value and able to calculate that more easily.

29:12 . And that's what we're doing Right? So this this is all

29:17 using logs, right? Remember when find the logs just a little bit

29:22 differences there. Okay. So all gonna do is we want to be

29:26 to set this up so we can and equals our equation and then be

29:32 to figure out him rather easily. ? That's the end line. End

29:36 . So we go through log base . We can see that here.

29:40 ? And then um again we're using equation and that's what we're modifying.

29:46 . And so we ultimately get in step right to so we can really

29:53 can uh we arranged that because again logs it'll look like this form.

30:02 log base 10 to the end is same as N. Times log base

30:06 of two. That's all we're Okay. And so that in itself

30:12 term place 2.3 oh one. So so basic thing of that to

30:20 enter that's that represents that exponential Right? So we're gonna put that

30:25 that that is what the 10.301 is here. Okay so now we can

30:32 solve for n. Okay that's what get here in the in the

30:39 Okay. So that's and this is question of be honest, you need

30:43 memorize this necessarily. Okay so um now with that in hand we can

30:52 have population, no population sizes at times and then come up with a

30:57 time rather easily. Okay and then that in different ways. We'll do

31:03 couple of examples like that. So other thing here is this this is

31:10 to use but often times we also to put a time parliament because we're

31:14 in, you know, a growth constant. Right? So a growth

31:20 constant. So every bacterium for every will have a under optimal conditions,

31:29 ? We'll have a growth rate depending how you grow, right? You

31:33 grow the coli on nutrient auger nutrient and measure growth. It'll have a

31:40 rate then you do the really cool on a minimal media will have a

31:46 rate likely much less. Right? um there is even on those media

31:55 can there will be a an intrinsic rate. Such that no matter how

32:00 nutrients you add, it will only at that particular growth rate.

32:05 this is just the inherent growth for species. Okay. You can't make

32:10 grow faster than normally would. Okay , so that's what the K.

32:16 that's the growth rate constant. So we have a time element now

32:21 that gives us the growth rate Okay. And so k. So

32:27 is generations over time. Right? if we invert that, that's basically

32:35 generation time is. Right? It's for generation. That's the generation time

32:40 . Okay, so we will use much when you use this and this

32:51 our equations. Okay. In a of problems around with. So let's

32:59 at That. Here is number Okay, so The bacterium, Houstonians

33:09 , not a real bacteria. At the generation time of 40

33:15 Start with five cells in log how many minutes Does it take to

33:21 ? About 10,000 cells assume all the are viable. That's pretty much always

33:28 assumption. Okay. So there is equation. And let's see what we

33:36 here. So if you get an in in minutes, you may need

33:46 look at that in other time parameters fix and if you're not sure it's

34:03 . Take a stab. Mhm. , time around, but I'll pause

34:21 couple of times. Let's count down positive vibe. Okay, start up

34:57 and here we go. Okay. , let's go through the process.

35:09 . All right, so here's our . So is that we're trying to

35:15 ? Right and zero equals five. how many generations to get to

35:22 Okay or how many minutes? So we know that generation time is

35:30 per generation. Okay. So we're That value 40 minutes per generation.

35:39 , So calculate number of generations produced going from 5-10,000. That's what we're

35:43 to do. Right? So I this may be super basic,

35:47 But all I'm doing here is just up what's going on. Okay.

35:52 uh so catholic emerge generations produced and from 5 to 10,000. Use this

35:58 and multiply by generation time to yield like this. Okay, so we're

36:03 do let's figure this out. Figure value out and then plugging it.

36:10 . So uh do that are. is 10,000 R n 05 We get

36:19 which is 11 generations. Okay. just multiplied by 40 440 minutes,

36:27 is right here is seven hours. , 440 minutes. Uh 60 minutes

36:43 hour, right? Seven hours is 20 minutes. Okay so seven hours

36:54 20 minutes. A little over seven . Yeah. Alright so back to

37:03 again. Okay. Any questions about ? And there's there's um these these

37:11 plus three more three others are on borders that she called bacterial growth

37:17 If and it's one side has the . The other page has it all

37:23 out. Okay? So if you help look at that of course let

37:28 know let's have another problem. So little bit different. Uh So we're

37:35 here for the to calculate the generation . So Kathleen generation time of 900

37:44 cells growing 15 hours produced three million cells. Okay? Um No I

37:56 I had that written everybody. Alright So there's your two things for

38:36 . The old two heads are better one operate and put the timer

39:21 Yeah. All right, counting Let's see. Okay. Through

39:34 E. No it's not. It's you know, majority wins. Okay

39:44 let's look at the breakdown here. so um Alright so 15 hours,

39:54 minutes obviously. Okay so let's go . R. N. Zero and

40:00 . T. Wright. And there's formula. So I'm trying to do

40:07 if we need to figure out uh trying to figure out this is what

40:11 trying to figure out. We of need to have that value.

40:17 And so that's what we're doing. so our generation is almost 12.

40:24 . And through the math there and get 76 minutes. Okay. So

40:32 problems you'll see aren't gonna be any complicated than this. Okay. And

40:37 , there's the practice problems you can through and they're all worked out,

40:41 ? So go through those. Um course you have if you have questions

40:47 me know. Okay. But Um Alright. Um Really should.

41:02 another question. So this relates to growth phases. So uh so batch

41:09 , right? They call us a growth curve. What that means is

41:16 uh also here um water bottle. so this uh meeting All right,

41:30 gonna throw it in our flask. . We would inoculate inoculate,

41:37 Just incubate let it go. Then take samples and quantitative number of cells

41:42 getting over time that will plot it . Uh Once we're the only time

41:49 doing anything with this class, once inoculated is only take samples at periodic

41:56 . That's it. Alright. We're gonna go its course right? That's

42:01 growth we're having we have a batch growth with this monitoring and that's

42:05 That's that's what that means. Uh you can do variations of that that

42:13 talk about but that's what match growth . Okay so um and from practical

42:28 , I'd say in my experience uh quantitative doing this kind of calculations we

42:37 went through. It's good to know , Right? But my interest is

42:44 in terms of what the growth curve like, how to influence that.

42:51 so you will cross the map. . That's all right. So um

43:05 changes in south science. That is . Okay. Um Hold on that's

43:15 . Um Come on. My pen not working right? That's true dang

43:21 . Hold on. Okay. Check. Exponential changes occur in both

43:31 and four. That's true. Yes. penicillin susceptible to most likely

43:40 to penicillin. Remember? That's fast typically. Okay so um none of

43:50 is false. Okay so they're all . All right, so um growth

44:02 curve match growth curve. Um So inactivated growth liquid growth medium and monitor

44:10 . You're gonna see some type of . Now they can differ in terms

44:14 lag phase. Okay. Maybe there longer lag phase. Maybe it's the

44:23 height of the curve doesn't get as . Okay. Uh Maybe the inflection

44:32 more like that. Okay. Not steep. Right, so all those

44:36 are possible depending on the organism, growth medium, the conditions etcetera.

44:43 . Regardless of the lengths and you're always gonna have these four stages

44:51 batch growth. Okay. And so lag phase. Right so you inoculate

44:59 the medium, right? Planting seeds the soil, water landing the

45:05 Okay so depending on the source. so there was a that's coming from

45:17 typically it's coming from a liquid growth that you're putting into? A fresh

45:21 medium. It could be from a . Yeah. Um The uh the

45:29 of that in Oculus is that has inoculate been growing for a week before

45:35 transferred It? Is the medium is in a way different from what you're

45:42 into? Okay. How much are transferring transferring point? Oh one mills

45:49 your batch growth or one meal? that makes a difference. Okay.

45:56 What about you know, think of the the I guess micro conditions.

46:01 ? So you're in a in Oculus and it's grown to the point and

46:07 you're putting in the fresh meat. ? So now it's in these new

46:11 , right? Likely differences in albeit slight. Okay, um differences

46:19 osmolarity. Right, So you concentrations be different ph may be slight

46:24 Okay um a different growth meeting right , all that are those different,

46:32 those differences. I mean the cell not going to start growing like crazy

46:38 you put it in there that has adjust their surroundings. Okay. Um

46:44 may have to be turning on genes turn on certain pathways because of the

46:47 . It now has to eat or has to be has to make a

46:51 of stuff to be able to So all that translates into time,

46:56 ? In this lag phase and so length of this lag phase, whether

47:01 this long that short for longer, on those factors, depends on all

47:08 factors. Okay. Another type of it is. Take a look.

47:13 , so you can you can influence by transferring the cells when there if

47:23 haven't to a point where they haven't so long, right? Where they're

47:26 growing actively and transfer them to fresh . Even even the best case

47:32 you're still gonna have a bit of life. Right? Maybe not so

47:35 . But there'll be some Yes, acclimation phase here. Okay. But

47:40 it gets going, it grows Okay. Typically. Okay, so

47:46 phase is gonna be the most active and it's not surprisingly where let's

47:51 do you often hear the term, may hear the term mid log

47:55 right? Or late mid log phase typically somewhere in here. Right.

48:04 It too. This is called mid phase. Okay. That area that

48:12 um are you the most active? if you're interested in some kind of

48:19 activity, it has that that's likely point where it's going to be most

48:23 . Where you'll take samples and measure activity. Okay. Or maybe it's

48:28 point where you'll you'll harvest the cells that's what I have the most maximum

48:34 of activity in the in the So it just depends, not always

48:38 mid log but it kind of depends what you're doing, but that's that's

48:42 reason to make a growth for one to see if you are interested in

48:46 that's making or the activity of an or what have you, is that

48:51 measure it across the whole time You see when it is most active

48:56 that's, that tells you that's when need to be there to to test

49:01 . Okay, so early on, kind of figure these things out,

49:07 ? If it's especially biotech people, ? If you have a culture and

49:13 new and it makes some kind of commercially commercial product you want to make

49:19 product you want to commercialize. You figure out these basics in the

49:23 what's the growth look like? What's grow best on how can I maximize

49:28 a short lag phase and a high density very quickly. Right, where

49:35 the activity of my product most What? These are all things you

49:40 know ahead of time. Okay, definitely these are the things you do

49:45 you're on the bench top, You don't want to figure this stuff

49:48 when you're trying to grow it in gallon tank, right? Because that's

49:55 and money wasted. We don't know going on ahead. So a lot

49:59 this kind of basic work is Small scale, of course, usually

50:03 up. Okay, so um but , so cell size. Right.

50:08 cell size will change, you for some of the more dramatic than

50:13 but size will change very for most as they're growing. Okay so long

50:19 remember you're gonna have a lot of I'm just gonna use a rod shaped

50:23 . You may have a lot that in this dividing state. And so

50:33 they're actively growing and dividing right and they will elongate and then they'll split

50:39 they'll be in there probably the largest certainly mid log phase. Okay.

50:45 compared to when you look at them stationary phase for example. Okay so

50:51 signs will be bigger in their in log phase. Okay um as we

50:56 to like around here late log Okay those things would rapidly begin to

51:05 down because now you have a population here right that is in late log

51:12 that you can't sustain that rate forever you're not gonna have enough resources to

51:19 everybody to be able to grow Right so you're gonna rapidly level off

51:24 that's what stationary phase were stationary phase and um that will of course obviously

51:35 we have balanced growth which means they themselves dying is balanced by the rate

51:41 that are better increasing. Right so death and cell growth or equal.

51:48 hence a flat curve. Okay and of course now we're not completely out

51:54 nutrients yet. Okay so it becomes survival mode for the for the for

52:00 micro okay and what are things that survival? Well if you become smaller

52:08 less material to keep up with um obviously slowing down significantly um stress can

52:16 . Okay so uh so you produce that help you kind of stress um

52:25 happens in stresses proteins begin to break ? And so you kind of have

52:30 system that kind of maybe help some those along the functioning. Um So

52:34 really about maintaining survival. This kind just getting a little smaller, eliminating

52:42 metabolic processes. Okay and kind of hanging out hoping that new principal

52:50 Okay um you know they can sputter because cells are gonna be dying,

52:59 ? Cells die that actually can be for them for others. Right so

53:03 can kind of subsist on that for while until of course that goes

53:07 Right and then at that point now death so there's no nutrients left to

53:13 anything, right? And that's why fast as you grew, maybe not

53:19 fast as you grew this way but do die rapidly. Right? So

53:25 that's why that can be a lot as well that you can also go

53:29 quickly. So uh and that's what really this part. This is what

53:38 focus on in chapter five. Control my program. How do we kill

53:44 things and throw them fast? Right um but obviously here we we've run

53:50 of everything can start dying off Okay. And so um okay so

53:57 phenomenon of dormancy persistence. I mentioned a little bit in the context of

54:03 resistance. So there are cells that of be a little smaller and they

54:09 of just um are able to survive an industrial period that way.

54:15 so we'll talk about this in um chapter are Sorry, unit two coming

54:25 . Let me try this again And this membrane potential to provide

54:32 Okay, we mentioned that earlier in context of chapter three, right cell

54:38 . The proton. All right, a form of energy. And so

54:44 able to sustain that in that non state to provide some energy.

54:51 Um and that they can remain in state for quite a while. So

54:56 them to when they're in a stationary to really drag that out.

55:03 not forever, but for a pretty period. And so that can you

55:08 if they find themselves environment now nutrients coming in and that may enable their

55:12 . Okay. Um The of course uh we'll talk about that next time

55:22 forming in the sport. And the is also something that you might form

55:26 it's capable it would do so in phase. Right, Those spores form

55:31 that's the way for it to kind be a dormant state for a long

55:35 . And those spores that can be been found that are like 250 million

55:40 old. So that's that's uh potentially mode if the cell is capable of

55:45 that. Okay so um. Is are where are there any

56:00 Alright so let's look at this question relates to growth curves in a different

56:06 . Okay. A bacterial inoculate um grown in nutrient broth. And you

56:12 the formula not what is then transferred a batch growth medium of M9.

56:19 we're going from we're going from this that. Okay flying inoculation of the

56:27 medium, what will the growth pattern closely resemble A. B. Or

56:33 . Okay so um the night has on nutrient broth then transfer to freshen

56:40 broth. Growth pattern is like Okay so just one little hit

56:48 But now we're doing this of course putting it in that. So it's

56:53 if you put it in M. , will it look again like a

56:57 like B? What will it look ? C. So A.

57:03 Or C. I predict 90% will this correct, 95%,, 99%.

57:37 let's uh Okay calm down. Right um Who entered C.

58:16 C. That's that's it. This what you need to look at is

58:33 face. Right? But from rich middle meeting right in this we got

58:41 of preformed stuff, amino acids and does not make it I can grow

58:48 quickly compared to growth in this. , so nutrient broth and you plop

58:55 into minimal medium. It's also whoa, put the brakes on,

59:01 , We're not we don't have any preformed nutrients that tone and actually give

59:08 right now, we've got to start everything for ourselves. We have to

59:13 amino acids, we have to make and that right if we're gonna grow

59:17 him not right? And that means on different pathways, turning off their

59:22 . Uh That means time translates into longer lag phase. Okay, what

59:28 that when you go from nutrient N. B. Two NB.

59:35 looks like that there's there's um there's short life is one from the same

59:43 same. You don't have to make adjustments and then kind of just adjusting

59:46 the temporary changes that may be temp and then get going around.

59:53 But you're drastically changing the meeting from complex rich medium to a defining.

60:00 definitely gonna we're gonna see that translators into a longer life phase and

60:06 a lot of stuff pathways etcetera. um Okay, so of course the

60:14 there is C. Okay, now take a look at A and

60:17 Real quick. So um this they the same lag relatively the same.

60:27 this part of the curve is very . Okay, but you notice,

60:33 assume A and B. The same that's going on the same medium in

60:38 A. And B. But you the difference there and sell yield

60:46 The number of cells cells is bigger B. Than A. So if

60:51 have let's say it's a cola growing A. And B. And

60:55 Book medium but it's more cells on . You can do that by doing

61:04 . This is the fed batch. ? So if you're growing it in

61:10 batch growth where you inoculated just take to measure growth and that's it.

61:15 get A. I like you see . Okay But if you then at

61:21 point ad nutrients add nutrients you can it. What's the obvious nutrient you're

61:31 add to see that effect begins with seat ends in Farber. Right?

61:40 had carbon that will enable more That right? Of course here we're

61:50 about the head of A pro. and if you give it more more

61:56 to it, more cells right, more carbon to provide an opportunity to

62:05 more carbon based life forms like Okay um the same thing but that's

62:15 . Right? I just sit and eating candy bars all day. I

62:22 multiply into 2-4 that hey but I get right I'll go write write more

62:30 . Okay so um and fifth batch an industrial scale stuff. That's what

62:38 do is this okay. And so that's the only way you're gonna get

62:45 high remember in uh commercial setting or you're taking stuff for commercial products you

62:53 deal in uh tablespoons of stuff. gotta deal with buckets, barrels.

62:59 ? So you're gonna need lots of and lots of cells. Okay.

63:03 that's where you got to keep it it, feed it. Okay?

63:08 so you can get and so not feeding but controlling all the parameters.

63:15 ? So what different practice is focused nutrients but th there's oxygen in this

63:23 . Um And then defeating. And so this uh this is a

63:30 controlled operation over here. You see the right this bioreactor that's probably like

63:38 five liters. Um You see all stuff on top. Right? All

63:44 wires and this and that up Right. So um and then of

63:50 these are pumps on the right. . It was all computer control program

63:56 ph between six and eight right acid base as needed. Um Set the

64:04 called A. D. O. ? Deal with dissolved oxygen.

64:09 So we can control the amount of going into the system, right?

64:15 call that D. O. And can measure we can measure and and

64:22 everything temperature controlled as well. One of the things that happens fast

64:28 growth is a lot of heat produced of heat. And if you don't

64:33 control it, that glass will get hot as a stove top.

64:37 Of course the temperature kills them as . So you have to one jacket

64:42 control attempt. Okay so so you all those things you baby it so

64:48 speak by maintaining ph 02 temperature and go grow like nuts. Okay?

64:56 they're in pure culture not competing with and they can just feed them what

65:00 want as much as they want. grow. Okay? So but of

65:04 you can do this and you have add things in at certain times.

65:08 ? Why not? Double owner once to worry about doing all this control

65:14 . Why can't you add it all once? It actually doesn't grow if

65:18 do that. Yeah. Your said wanted to let's say part that can

65:44 you a so you know you get oh just put all in the

66:01 Very close. So 100 g of you need at the beginning what you

66:08 live. What's that sells matrix. all these things around it burn those

66:19 And immediately 100 past years. Um where the take ordinary. So

66:34 becomes an osmotic issue. Right? so high platonic right? He has

66:41 lose water. So that's that's what you try to add all the digits

66:45 front to give it maximum growth then to its osmolarity issues. So to

66:52 tonic to the solids out there compared what's in the cell and then inhibit

66:56 . Okay? That's why you can't why you have to uh batch feed

67:02 in increments. Okay. But it it won't grow otherwise. But you

67:06 do it this way then it works . And so so you may have

67:13 end, you know you feed it multiple times. This will keep going

67:20 . Alright. There was a Okay? But you can get a

67:25 of cells. Okay? And so anaerobic bacteria growing in liquid culture adequately

67:30 you out. So what would and wrote it come in the it's you

67:53 take an option constantly, right? you begin to run you run

67:58 right? Began to breathe heavier. ? Running out of oxygen. You

68:02 to get more. You can stuff oxygen tank but that's not practical.

68:07 you just stop and rest. So bacteria growing like crazy. They have

68:14 so you have to feed oxygen to . Okay? And so um and

68:20 have you have this you have all parameters in here. You have a

68:28 oxygen program measure oxygen that was E start mixing it faster yet more

68:37 air into it, right? And it up real well, lots of

68:41 off the road. Beat up beat to it. Right? So if

68:45 biotech you'll work with these things. ? Uh That's it, folks go

68:50 lab or wherever you're headed to Yeah. Yeah. Oh yeah let's

69:57 uh That's right. So over here would be ah there we go.

70:11 it would let's say we went the way then it would go. Yeah

70:16 maybe short. So what is the we have to make a bunch of

70:30 ? It's going to have to make from scratch. What I was thinking

70:36 essential because I mean if you're going other way because remember what's in the

70:53 extract, fully formed, fully formed kinds of molecules they don't have to

71:00 in this media. These are all of the different elements. These these

71:09 exactly exactly. Yes. Which is probably on thursday. Yeah sure

71:31 Oh yeah I got you. Let's what why are bacteria about it

71:45 are they? Yeah. See Uh Because they multiply by dividing.

71:58 like I was thinking like they had because I've heard when it's like a

72:06 magic, something bad in biology and like because he can't tell the

72:13 Um I think I was like yeah so popular. Popular. Uh

72:24 Because they're uh they're fun guys. course. Yeah. Yeah.

72:29 Yeah. Yeah. Yeah. No shortage of those jokes. I'm

72:38 I've counted how many professor? Yeah,

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