WEBVTT - Genes 101

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<v Speaker 1>Brought to you by Toyota. Let's go places. Welcome to

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<v Speaker 1>Forward Thinking. Hey there, and welcome to Forward Thinking, the

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<v Speaker 1>podcast that looks at the future and says, carry on

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<v Speaker 1>my wayward son. I'm Jovin Strickland, I'm Lauren Bocubon, and

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<v Speaker 1>I'm Joe McCormick. And we wanted to kind of talk

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<v Speaker 1>about genes and genetics and d n A and chromosomes.

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<v Speaker 1>And it's because we have this whole podcast where we're

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<v Speaker 1>going to be talking about gene therapy coming up. But

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<v Speaker 1>really to understand gene therapy, we kind of need to

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<v Speaker 1>lay that foundation first, so a little bit. And yeah,

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<v Speaker 1>so for those of you, those of you who who

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<v Speaker 1>have been out of middle school science for quite some time,

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<v Speaker 1>like me, might need a refresher course, or maybe you

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<v Speaker 1>never really studied this. For those of you who have

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<v Speaker 1>a significant grounding in this, either educationally or perhaps professionally,

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<v Speaker 1>just humor us because we wanted to make sure that

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<v Speaker 1>we define in some terms and understood things before we

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<v Speaker 1>launched into a full gene therapy discussion. Come on, that

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<v Speaker 1>makes it sound a little dry and sterile. We're we're

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<v Speaker 1>about to talk about some really huge molecules. I mean,

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<v Speaker 1>I mean big, big molecules, Yes, big enough where if

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<v Speaker 1>they weren't so darn thin, you would be able to

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<v Speaker 1>see them with the naked eye once they are unfurled,

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<v Speaker 1>because DNA molecules could be a couple of centimeters long,

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<v Speaker 1>depending upon what you harvested them from. Ye, but they're

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<v Speaker 1>very very thin, so they wouldn't see them anyway. But

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<v Speaker 1>they're quite long. Um. So, early days of modern biology,

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<v Speaker 1>you had scientists looking at cells through microscopes, and uh,

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<v Speaker 1>normally you wouldn't be able to see things like chromosomes

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<v Speaker 1>within the nucleus of a cell except during cellular division,

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<v Speaker 1>because at that point the chromosomes kind of get all

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<v Speaker 1>compact and they get dark enough where you can see them.

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<v Speaker 1>So that led people to think. Specifically, scientists think, huh,

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<v Speaker 1>I wonder what that stuff is around around What part

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<v Speaker 1>of the timeline was this did you, oh, gosh, this

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<v Speaker 1>would be in the nineteen well, nineteen thirties and forties really,

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<v Speaker 1>But if you want to talk about the actual evolution

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<v Speaker 1>of of of genes and heredity and this sort of

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<v Speaker 1>these sort of concepts, you actually have to go back

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<v Speaker 1>quite some ways to the mid nineteenth century. Actually this

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<v Speaker 1>is interesting and a lot of people don't even know this.

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<v Speaker 1>Charles Darwin didn't know anything about jenes no, well maybe

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<v Speaker 1>sort of as a concept like the idea of inherited traits,

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<v Speaker 1>but didn't know anything about d n A. Right, he

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<v Speaker 1>had this practical evidence that that he was being presented

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<v Speaker 1>with and that he was thinking about really hard. But

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<v Speaker 1>but they had no way of knowing what the discreet

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<v Speaker 1>element of transferral of traits actually was. And in fact,

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<v Speaker 1>there there were other people working on learning about, you know,

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<v Speaker 1>how traits are passed down at the same time, at

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<v Speaker 1>the same time, and they didn't. They didn't they didn't

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<v Speaker 1>match up. In fact, the first one really Gregor Mendel,

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<v Speaker 1>who was an Austrian monk, and uh he decided that

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<v Speaker 1>he was going to investigate how traits were passed down

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<v Speaker 1>by using hybridized p plants, and he wanted to just see,

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<v Speaker 1>you know what determines how certain traits get passed down.

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<v Speaker 1>And a lot of experiments in these early days would

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<v Speaker 1>only last a few months, maybe a year, and so

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<v Speaker 1>you would only have a certain number of generations of

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<v Speaker 1>plants to work with. And the general thinking at that

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<v Speaker 1>time was that you would get these unusual traits that

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<v Speaker 1>would pop up in plants, but that the hybrids would

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<v Speaker 1>eventually revert back to the original form of the plant

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<v Speaker 1>several generations down the line, like like it would just

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<v Speaker 1>be a little side step, but then it would re

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<v Speaker 1>orient itself. That well, Gregor Mendel decided to kind of

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<v Speaker 1>really look at this, and over the course of about

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<v Speaker 1>eight years and thousands and thousands of plants, he discovered

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<v Speaker 1>that there were some interesting things going on, that that

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<v Speaker 1>there were different types of traits that were being passed on,

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<v Speaker 1>and actually started to lay the groundwork for things like

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<v Speaker 1>dominant traits versus recessive traits, things that you know, if

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<v Speaker 1>if a p plant had once certain type of trait

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<v Speaker 1>that was more likely to be passed down than other ones.

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<v Speaker 1>And he really started to put all this together, but

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<v Speaker 1>no one really gave it much thought, including including himself.

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<v Speaker 1>He thought that this was an interesting thing, but didn't

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<v Speaker 1>apply it to a wider range of life forms beyond

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<v Speaker 1>pe plants. Well, he didn't know about DNA either. No, No,

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<v Speaker 1>this is men daily in genetics. So again it's just

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<v Speaker 1>based on um sort of phenotypical markers that show up

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<v Speaker 1>things you can see with the naked eye parent physical traits.

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<v Speaker 1>So he he did, he did figure out the or

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<v Speaker 1>he did lay the groundwork for pre dominant traits versus

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<v Speaker 1>recessive traits. And he also figured out that the traits

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<v Speaker 1>were not necessarily dependent upon one another, right, they were independent.

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<v Speaker 1>A lot of traits just had one set of traits

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<v Speaker 1>and another set of traits didn't necessarily have to be

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<v Speaker 1>present for the next generation to start to exhibit them.

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<v Speaker 1>So that was also interesting. Uh. In eighteen sixty nine,

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<v Speaker 1>that's when Friedrich Mischer, who was a German chemist, was

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<v Speaker 1>the first person to isolate DNA from cell nuclei that's

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<v Speaker 1>where you would find DNA generally speaking, And uh, he

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<v Speaker 1>wasn't sure what the heck it was, this this sort

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<v Speaker 1>of white, acidic substance, and no one was really sure

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<v Speaker 1>if it even had a purpose. In fact, for for

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<v Speaker 1>years they just sort of discounted it as just like

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<v Speaker 1>this is just something that's in cells, but it doesn't

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<v Speaker 1>do anything important, and uh, but it's understanding. There was

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<v Speaker 1>no way from him to know really. Inties and forties,

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<v Speaker 1>that's when you had scientists really looking at it and

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<v Speaker 1>trying to figure out exactly what this stuff was. What

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<v Speaker 1>was important about it. They began to learn that DNA

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<v Speaker 1>was made up of a five sided sugar uh, and

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<v Speaker 1>that it also had these base pairings of well, they

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<v Speaker 1>didn't even know what it was pairings at the time.

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<v Speaker 1>They knew that there were these other polynucleotides inside DNA,

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<v Speaker 1>they didn't know the significance of it. And they also

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<v Speaker 1>knew that DNA had a protein involved with it. The

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<v Speaker 1>protein is the scaffolding that DNA wraps itself around, but

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<v Speaker 1>they didn't they weren't sure what significance any of that was.

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<v Speaker 1>To take get to about nineteen fifty, that's when a

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<v Speaker 1>check scientist named Irvin Cargoff discovered the base composition of

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<v Speaker 1>DNA and measured the amount of the four nucleotides you

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<v Speaker 1>can find in DNA. And I'll cover that in a minute.

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<v Speaker 1>And he also noticed that something interesting that you know,

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<v Speaker 1>the four nucleotides, we generally call them A, T, C,

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<v Speaker 1>and G for their names. And again I'll go through

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<v Speaker 1>the names when I can get my tongue around them.

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<v Speaker 1>Can I try? Can I try go for it? Okay,

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<v Speaker 1>it's uh oh manin, thiamine, adeni ad and id ad

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<v Speaker 1>anine and oh guanne Okay, so how close was I

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<v Speaker 1>think I was messing up some idine thymine citazine gun

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<v Speaker 1>And then if you're going with RNA, which of course

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<v Speaker 1>is the other component we have to talk about eventually, Uh,

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<v Speaker 1>arny doesn't have thymine, but it does have ur a

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<v Speaker 1>cell and your cell ends up acting pairing, pairing with

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<v Speaker 1>at an in the same way thyman does. So it's

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<v Speaker 1>you don't have you're really uh, consult your physician. No,

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<v Speaker 1>your cell it fulfills that same purpose because what happens

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<v Speaker 1>is these these based nucleotides pair with one another. Now,

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<v Speaker 1>at this point in nineteen fifty, they didn't know anything

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<v Speaker 1>about pairing. What Chargov saw was that if you looked

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<v Speaker 1>at the ending and the thyming nucleotides, they were roughly

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<v Speaker 1>equivalent to each other. And the same was true for

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<v Speaker 1>the site of zine and guani nucleotides. Those were equivalent

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<v Speaker 1>to one another. And so this, uh, this gave rise

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<v Speaker 1>to what is now known as Chargovs rules, which was

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<v Speaker 1>just that if you find a certain amount of one,

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<v Speaker 1>then you know that that's the same amount for the

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<v Speaker 1>other one. And it also laid the groundwork for later

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<v Speaker 1>scientists to kind of figure out about this nucleotide pairing

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<v Speaker 1>that the reason why there are equal amounts is because

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<v Speaker 1>they pair up in a strand of DNA. So that

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<v Speaker 1>takes us up to that. Nineteen fifty two, that's when

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<v Speaker 1>Alfred Hershey and Martha Chase really uh they got behind

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<v Speaker 1>the idea that it was DNA that carried genetic information,

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<v Speaker 1>that it carried this hereditary information, rather than the protein

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<v Speaker 1>scaffolding that the DNA was wrapped around, because at the

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<v Speaker 1>time no one was really sure and there were some

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<v Speaker 1>people who were saying, it's the protein that carries the

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<v Speaker 1>hereditary information, not the DNA molecule. And uh so they decided,

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<v Speaker 1>should we sort that out? Now? Are we getting to that.

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<v Speaker 1>We'll get to it. We'll get to never you fear

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<v Speaker 1>trust in Jonathan, Yes, but but trust in specific instant.

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<v Speaker 1>There's a lot of molecules in here, all right, all right,

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<v Speaker 1>to be fair, all right, So the protein is the

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<v Speaker 1>scaffolding that the DNA wraps itself around. Okay, so, and

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<v Speaker 1>DNA itself at least is in the business of making proteins. Yes, yes,

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<v Speaker 1>so it makes proteins. What technically, what does is really

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<v Speaker 1>gives the instructions for amino acids. Which amino acids are

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<v Speaker 1>the building blocks for proteins. But I'll get there, trust

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<v Speaker 1>me anyway. So, uh, they weren't sure whether or not

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<v Speaker 1>it was the protein element or the DNA element that

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<v Speaker 1>actually passed down U hereditary information. And so they Hershey

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<v Speaker 1>and Chase, who thought it was DNA, decided they would

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<v Speaker 1>do an experiment, and so I think there was. They

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<v Speaker 1>got some They got some DNA and they from a

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<v Speaker 1>bacterial virus called T two. Actually, uh, it would raise

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<v Speaker 1>its thumb as it was lowered into lava. Uh. The

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<v Speaker 1>T two virus, Actually it has a shred of it's

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<v Speaker 1>it's a virus that has a shred of DNA inside

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<v Speaker 1>and a little tiny piece of protein inside it as well.

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<v Speaker 1>So what Chase and her She did or hers Chase

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<v Speaker 1>because it's usually called Hershey Chase experiment. They ended up

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<v Speaker 1>inserting a radioactive tag in the DNA of this virus

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<v Speaker 1>and then allowed the virus to go ahead and do

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<v Speaker 1>its a little viral thing where it would go and

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<v Speaker 1>replicate replicate itself. And then they noticed that all the

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<v Speaker 1>viruses that were replicated also were radioactive. They had this

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<v Speaker 1>radioactive tag. They repeated the experiment by tagging the protein

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<v Speaker 1>with this radioactive tag and did the same thing and

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<v Speaker 1>saw that the the next generation of viruses did not

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<v Speaker 1>have the radioactive tag. Uh huh. They say, this shows

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<v Speaker 1>that the DNA is what's passing down this hereditary information,

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<v Speaker 1>not the protein. So bite me, although they said in

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<v Speaker 1>a much nicer way scientific yes, that was probably whatever

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<v Speaker 1>the latin is for biting me, right, it's it's pure viewed.

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<v Speaker 1>So that brings us to nineteen fifty three, and this

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<v Speaker 1>is when the probably the most famous of the discoveries,

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<v Speaker 1>um you could argue for for the whole history of

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<v Speaker 1>DNA and jeans it comes about. And that's when the

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<v Speaker 1>actual molecular structure of DNA was discovered. The soul Watson, Crick, Franklin,

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<v Speaker 1>and Wilkins. Yes, James Watson and Francis Crick are the

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<v Speaker 1>one to who are normally credited. It's Watson and Crick.

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<v Speaker 1>You always hear Watson and Crick, but they their work

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<v Speaker 1>was made possible by the work of two other scientists,

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<v Speaker 1>Rosalind Franklin and Maurice Wilkins, who all had been working

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<v Speaker 1>on this And without the work of Wilkins and Uh

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<v Speaker 1>and Franklin, you wouldn't have had the information Watson Krick

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<v Speaker 1>wouldn't have had the information they needed to learn the

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<v Speaker 1>actual structure of DNA. UH. Franklin had been using X

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<v Speaker 1>ray diffraction to observe living cells and it was that

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<v Speaker 1>that gave them the ability to take a look at, uh,

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<v Speaker 1>this double helix structure that DNA has, and they could

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<v Speaker 1>tell that it was this double helix structure that would

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<v Speaker 1>pull apart to make copies of itself during cellular division. UH.

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<v Speaker 1>And then if you wanna, you know, the next big, big,

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<v Speaker 1>big moment in genes, which will talk about more in

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<v Speaker 1>another episode, it was the ninety seven which was the

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<v Speaker 1>first sequencing of a complete genome, which was the bacteria

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<v Speaker 1>fage f x one seven four. So, um, now we're

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<v Speaker 1>going to talk a little bit about what these structures

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<v Speaker 1>actually are and what you know, the define some more

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<v Speaker 1>terms because there's a lot of confusion when it comes

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<v Speaker 1>to DNA, genes, genome, chromosomes, and just kind of use

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<v Speaker 1>them interchangeably, right, and and you know it helps to

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<v Speaker 1>get get a little more precise. Okay, Well, one clear

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<v Speaker 1>distinct shinn' make I think is that gene is sort

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<v Speaker 1>of a classification where that we have whereas d N

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<v Speaker 1>A as a molecule UM and what so the structure

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<v Speaker 1>of DNA, we could talk about that for a little. Sure,

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<v Speaker 1>it's like it's like you said, it's a double helix,

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<v Speaker 1>so you'd have to imagine kind of a twisted ladder.

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<v Speaker 1>Take a ladder and twist in a right handed or

0:13:24.000 --> 0:13:27.400
<v Speaker 1>clockwise direction, and so correct me if I'm wrong. But

0:13:27.440 --> 0:13:30.079
<v Speaker 1>I think I just I just realized for the first

0:13:30.080 --> 0:13:32.760
<v Speaker 1>time that what the ladder is actually built of is

0:13:32.800 --> 0:13:36.920
<v Speaker 1>that the sides of the ladder are basically just sugar molecules,

0:13:37.360 --> 0:13:40.800
<v Speaker 1>and it's the wrongs of the ladder that contain the

0:13:40.880 --> 0:13:46.440
<v Speaker 1>crucial genetic information. Those are the that's the nucleotide pairings. Yeah, so, yeah,

0:13:46.480 --> 0:13:48.880
<v Speaker 1>you've got the and. And the reason why the nucleotide

0:13:48.920 --> 0:13:52.719
<v Speaker 1>pairings have to be A and T and C and

0:13:52.800 --> 0:13:55.680
<v Speaker 1>G is that if you tried to put up any

0:13:55.679 --> 0:13:58.640
<v Speaker 1>other type of pairing, the wrongs would be the wrong

0:13:58.640 --> 0:14:02.280
<v Speaker 1>width and you wouldn't have of a a stable structure anymore.

0:14:02.720 --> 0:14:05.640
<v Speaker 1>The only way the wrungs are of the correct width

0:14:05.679 --> 0:14:08.559
<v Speaker 1>so that this double helix structure can remain stable and

0:14:08.880 --> 0:14:11.520
<v Speaker 1>remain intact is to have it paired up the way

0:14:11.559 --> 0:14:15.480
<v Speaker 1>I said a t n C. And it's the only way. Uh.

0:14:15.800 --> 0:14:19.600
<v Speaker 1>DNA of course stands for de oxyde de oxy ribonucleic acid.

0:14:19.640 --> 0:14:21.000
<v Speaker 1>I knew I was going to mess that up before

0:14:21.040 --> 0:14:25.480
<v Speaker 1>I could get through it once. But deoxy acid. Yeah,

0:14:25.640 --> 0:14:28.480
<v Speaker 1>you know, you just had the benefit of hearing me

0:14:28.520 --> 0:14:34.800
<v Speaker 1>say it twice. Mr Adenine thyming that one. So they

0:14:35.800 --> 0:14:39.880
<v Speaker 1>the acid here has this, Uh, the base pairings they

0:14:40.000 --> 0:14:45.040
<v Speaker 1>bond with hydrogen bonds the four nucleotides, right, And it's

0:14:45.080 --> 0:14:49.680
<v Speaker 1>the sequence of bonds, the sequence of pairings that create

0:14:49.800 --> 0:14:56.160
<v Speaker 1>genetic information. Uh. Not all of DNA is encoded genetic information.

0:14:56.240 --> 0:14:58.320
<v Speaker 1>Some of it is behaving in a way that we

0:14:58.360 --> 0:15:01.680
<v Speaker 1>don't fully understand yet. It's sometimes it's called junk DNA.

0:15:02.440 --> 0:15:05.680
<v Speaker 1>Sometimes it's called non coded DNA. At any rate, it

0:15:05.760 --> 0:15:09.200
<v Speaker 1>almost seems like it's, you know, gibberish. That's just there

0:15:09.240 --> 0:15:11.720
<v Speaker 1>to break up the genetic coding. Now, when I say

0:15:11.760 --> 0:15:13.960
<v Speaker 1>just there to break up, that's what I'm saying from

0:15:13.960 --> 0:15:17.120
<v Speaker 1>a from an uninformed perspective, that's what it looks like.

0:15:17.160 --> 0:15:19.040
<v Speaker 1>But we may learn in the future that it has

0:15:19.040 --> 0:15:24.560
<v Speaker 1>a very specific purpose that we just don't know about yet. Right, Okay, Well,

0:15:24.600 --> 0:15:27.040
<v Speaker 1>I think we don't hear the term junk DNA is

0:15:27.080 --> 0:15:31.120
<v Speaker 1>often these we just don't know what, so we often

0:15:31.160 --> 0:15:33.800
<v Speaker 1>call it noncoding because we we don't recognize it as

0:15:33.840 --> 0:15:38.560
<v Speaker 1>coding for specific type of protein. So one, what what

0:15:38.640 --> 0:15:41.760
<v Speaker 1>makes DNA so special is a molecule. What makes it

0:15:41.800 --> 0:15:44.160
<v Speaker 1>not like any other molecule. There's a lot of things

0:15:44.160 --> 0:15:46.200
<v Speaker 1>that make it not like any other molecule. For the fact,

0:15:46.320 --> 0:15:49.560
<v Speaker 1>one thing is that this the sequence of bonds, can

0:15:49.600 --> 0:15:54.480
<v Speaker 1>actually pass on actual information. These instructions for creating amino acids,

0:15:54.480 --> 0:15:57.040
<v Speaker 1>which in turn create proteins, and the proteins are pretty

0:15:57.120 --> 0:15:59.800
<v Speaker 1>much what tell your cells what to do and when

0:16:00.080 --> 0:16:02.600
<v Speaker 1>they're what makes your body go. It's it's right, it's

0:16:02.640 --> 0:16:05.000
<v Speaker 1>it's it's what makes you grow. What makes your your

0:16:05.480 --> 0:16:07.640
<v Speaker 1>you know, body parts develop into the body parts that

0:16:07.680 --> 0:16:11.200
<v Speaker 1>they are, rather than makes you be you is when

0:16:11.240 --> 0:16:14.960
<v Speaker 1>it really comes down, it's the size of your brain pan.

0:16:15.480 --> 0:16:18.840
<v Speaker 1>It's also the DNA is in most of our cellular nuclei,

0:16:19.360 --> 0:16:22.720
<v Speaker 1>and so essentially the entire record of what makes you

0:16:22.720 --> 0:16:26.960
<v Speaker 1>you is in every single nuclei of these cells. Did

0:16:27.000 --> 0:16:30.880
<v Speaker 1>you know, though, that the nuclear nuclei aren't the only

0:16:30.960 --> 0:16:35.240
<v Speaker 1>part of your cells that have DNA shut your mouth, Yeah, yeah,

0:16:35.320 --> 0:16:37.080
<v Speaker 1>that's right, which you get from your mom and not

0:16:37.160 --> 0:16:39.960
<v Speaker 1>from your dad at all. Really. Yeah, So you get

0:16:40.000 --> 0:16:44.080
<v Speaker 1>your nucleic DNA that that comes from your mom and

0:16:44.160 --> 0:16:46.200
<v Speaker 1>your dad, and that's in the nucleus of your cells

0:16:46.200 --> 0:16:48.440
<v Speaker 1>and tells tells the rest of your body how to

0:16:48.480 --> 0:16:51.120
<v Speaker 1>make itself and what to do. That comes from both parents,

0:16:51.160 --> 0:16:54.400
<v Speaker 1>but just from your mom. You get mitochondrial DNA, and

0:16:54.440 --> 0:16:57.280
<v Speaker 1>that's a separate little bit of DNA that lives in

0:16:57.320 --> 0:16:59.840
<v Speaker 1>the mitochondria and the cells, and the mitochondria of a

0:17:00.000 --> 0:17:03.120
<v Speaker 1>all is sort of like the power plant. Sure, yeah, yeah, exactly,

0:17:03.160 --> 0:17:05.600
<v Speaker 1>And when you talk about genes, you're really talking about

0:17:05.600 --> 0:17:09.280
<v Speaker 1>a specific strip of DNA. It's sort of a think

0:17:09.280 --> 0:17:12.439
<v Speaker 1>of it like magnetic tape. For for if you're a

0:17:12.480 --> 0:17:16.000
<v Speaker 1>computer storage kind of person. So this would be a

0:17:16.160 --> 0:17:19.359
<v Speaker 1>length of magnetic tape upon which there are instructions, and

0:17:19.400 --> 0:17:22.359
<v Speaker 1>then there would be noise between the instructions and the

0:17:22.400 --> 0:17:25.760
<v Speaker 1>next set of instructions, which are for something totally different, right,

0:17:25.880 --> 0:17:28.800
<v Speaker 1>some other some other process. Now, in this case, the

0:17:28.840 --> 0:17:31.960
<v Speaker 1>process we're talking about, it's usually to create proteins through

0:17:32.440 --> 0:17:36.320
<v Speaker 1>the production of amino acids UM. Now the other thing

0:17:36.359 --> 0:17:39.000
<v Speaker 1>you can the other thing that's really important to remember

0:17:39.240 --> 0:17:42.919
<v Speaker 1>that genes are like the fundamental unit of heredity. Okay,

0:17:42.960 --> 0:17:44.520
<v Speaker 1>so that's sort of like you can think of a

0:17:44.560 --> 0:17:48.840
<v Speaker 1>gene as the equivalent of an atom, but only when

0:17:48.880 --> 0:17:51.439
<v Speaker 1>we're talking in terms of of heredity. So this is

0:17:51.920 --> 0:17:56.959
<v Speaker 1>as small as it gets. Uh. The relationship between genes

0:17:57.000 --> 0:18:00.920
<v Speaker 1>and traits is very complex. Uh. There our genes that

0:18:01.000 --> 0:18:05.880
<v Speaker 1>can manifest in several different traits. Uh, and then there

0:18:05.880 --> 0:18:09.360
<v Speaker 1>are some traits that require multiple genes to manifest, so

0:18:09.760 --> 0:18:12.760
<v Speaker 1>it's not a one to one relationship at all. Right.

0:18:13.520 --> 0:18:16.480
<v Speaker 1>One thing you can think of making a gene discrete

0:18:16.520 --> 0:18:18.679
<v Speaker 1>is that a gene is sort of a section of

0:18:18.760 --> 0:18:23.040
<v Speaker 1>information that can have different what are called alleles, and

0:18:23.080 --> 0:18:26.600
<v Speaker 1>so that's a different variation on that set of information.

0:18:26.960 --> 0:18:30.560
<v Speaker 1>And in a gene pool, there will be multiple alleles.

0:18:30.560 --> 0:18:33.040
<v Speaker 1>So you can have one gene and then a different

0:18:33.119 --> 0:18:35.680
<v Speaker 1>version of that gene, different version of that gene found

0:18:35.720 --> 0:18:38.679
<v Speaker 1>in different individuals. All right. So a human gene is

0:18:38.720 --> 0:18:42.840
<v Speaker 1>typically between twenty seven thousand and two million base pairs. Okay,

0:18:42.840 --> 0:18:45.840
<v Speaker 1>so those nucleo tide pairings, that's how many are in

0:18:45.880 --> 0:18:48.400
<v Speaker 1>a typical gene. Between twenty seven thousand, two million, which

0:18:48.400 --> 0:18:51.119
<v Speaker 1>is a huge range. And it's also interesting to know

0:18:51.320 --> 0:18:54.720
<v Speaker 1>that a thousand base pairs would technically be enough to

0:18:55.200 --> 0:18:58.960
<v Speaker 1>encode most proteins. And that's what these genes are doing

0:18:59.000 --> 0:19:03.320
<v Speaker 1>there for the most part, they're meant to encode proteins. Uh.

0:19:03.359 --> 0:19:08.080
<v Speaker 1>And so it's interesting to think that the typical genes

0:19:08.119 --> 0:19:11.400
<v Speaker 1>and the human seem to be really inefficient. And that's

0:19:11.400 --> 0:19:13.360
<v Speaker 1>because there are large parts of genes that are not

0:19:13.520 --> 0:19:17.600
<v Speaker 1>meant to encode, and they're they're also really complicated. Most

0:19:17.600 --> 0:19:19.480
<v Speaker 1>of them make more than one protein the average is

0:19:19.600 --> 0:19:23.200
<v Speaker 1>three actually, right and um and and they are not

0:19:24.000 --> 0:19:26.760
<v Speaker 1>they're not really discrete units. They interact with each other

0:19:26.840 --> 0:19:29.920
<v Speaker 1>in interesting ways, right and so so here's how they

0:19:29.960 --> 0:19:33.919
<v Speaker 1>actually work. So cells make a copy of the gene

0:19:34.320 --> 0:19:36.840
<v Speaker 1>through you know, they take the length of DNA where

0:19:36.880 --> 0:19:41.919
<v Speaker 1>the genetic information is relevant. This whole process is called transcription.

0:19:42.680 --> 0:19:44.600
<v Speaker 1>That copy ends up moving to another part of the

0:19:44.640 --> 0:19:46.520
<v Speaker 1>cell where it's used to create a chain of protein

0:19:46.560 --> 0:19:51.960
<v Speaker 1>subunits amino acids. That parts called translations. So transcription uses RNA,

0:19:52.440 --> 0:19:55.760
<v Speaker 1>that's the copy that is created out of this RNA

0:19:55.920 --> 0:19:59.680
<v Speaker 1>is made up of ribonucleotides, and so those bases U

0:20:00.040 --> 0:20:02.320
<v Speaker 1>compliment the ones in DNA. But like we said earlier,

0:20:02.640 --> 0:20:05.960
<v Speaker 1>there's no thymine, so they uses eurusil instead, which you

0:20:06.119 --> 0:20:10.879
<v Speaker 1>and A buying together. So there's no real problem there. Uh. Now,

0:20:11.040 --> 0:20:15.520
<v Speaker 1>the genes have protein coding sections called xns and non

0:20:15.600 --> 0:20:19.280
<v Speaker 1>coding segments called in tron's. So the RNA section RNA

0:20:19.400 --> 0:20:23.280
<v Speaker 1>sections that correspond to in trons, the non coding parts.

0:20:23.480 --> 0:20:26.480
<v Speaker 1>Those parts get generally they get removed from the RNA.

0:20:26.640 --> 0:20:29.480
<v Speaker 1>It's called splicing. It splices out. It's kind of just

0:20:29.520 --> 0:20:31.639
<v Speaker 1>like you know you're splicing film. You take out the

0:20:31.640 --> 0:20:33.480
<v Speaker 1>part you don't want, and then you merge the other

0:20:33.520 --> 0:20:35.879
<v Speaker 1>two pieces together. So that way you just have the

0:20:35.880 --> 0:20:39.760
<v Speaker 1>coding parts left, the xns in other words, and that

0:20:39.800 --> 0:20:43.840
<v Speaker 1>becomes what is known as messenger RNA. Well, then you've

0:20:43.880 --> 0:20:49.600
<v Speaker 1>got these other bits of RNA, uh, the the the

0:20:49.640 --> 0:20:53.040
<v Speaker 1>transfer ribonucleic acid or t RNA. So you've got your

0:20:53.040 --> 0:20:57.960
<v Speaker 1>messenger RNA, you got your transfer ribonucleic acid. Uh. You

0:20:58.000 --> 0:21:00.120
<v Speaker 1>get the two of them together, and it's like a

0:21:00.160 --> 0:21:05.160
<v Speaker 1>spaceship docking with a space station. So you look at

0:21:05.160 --> 0:21:08.639
<v Speaker 1>these three base pair will not even base pair uh

0:21:08.880 --> 0:21:13.440
<v Speaker 1>three exxons. So you code this by the three letters

0:21:13.480 --> 0:21:15.679
<v Speaker 1>that they might be like g G G or it

0:21:15.720 --> 0:21:19.600
<v Speaker 1>could be g U A or so anyway, you you

0:21:19.640 --> 0:21:24.520
<v Speaker 1>get those those three codes, the appropriate t RNA will

0:21:24.680 --> 0:21:26.800
<v Speaker 1>doc with that, and that gives the t RNA the

0:21:26.920 --> 0:21:31.000
<v Speaker 1>instruction to make the amino acid whatever it's supposed to

0:21:31.080 --> 0:21:34.280
<v Speaker 1>be according to the messenger RNA. So the messenger RNA

0:21:34.480 --> 0:21:37.600
<v Speaker 1>is essentially the recipe. The t RNA all will only

0:21:37.640 --> 0:21:40.320
<v Speaker 1>produce one specific amino acid, and it only will work

0:21:40.359 --> 0:21:42.600
<v Speaker 1>if they can doc with that part of the m RNA.

0:21:43.359 --> 0:21:46.840
<v Speaker 1>It'll build a protein based on all these amino acid chains.

0:21:47.640 --> 0:21:50.480
<v Speaker 1>And uh, and that's the basis there. So you've got

0:21:50.480 --> 0:21:54.160
<v Speaker 1>your amino acids and proteins. That gives the instructions for

0:21:54.240 --> 0:21:57.400
<v Speaker 1>everything else that's going on. Really and uh, there's your

0:21:57.440 --> 0:22:01.080
<v Speaker 1>there's your basic genes and how those genes work and

0:22:01.080 --> 0:22:05.840
<v Speaker 1>how they replicate proteins. Now, let's talk about chromosomes. So

0:22:05.880 --> 0:22:09.080
<v Speaker 1>we've we've got DNA. That's the molecule. We've got the genes.

0:22:09.119 --> 0:22:12.240
<v Speaker 1>That's lengths on the molecule that give instructions for things

0:22:12.320 --> 0:22:19.040
<v Speaker 1>like protein generation. Chromosomes are essentially packages of genes, all right,

0:22:19.200 --> 0:22:23.760
<v Speaker 1>so life forms have chromosomes, they don't all have the

0:22:23.840 --> 0:22:27.840
<v Speaker 1>same types of chromosomes or the same number of chromosomes. Uh.

0:22:28.080 --> 0:22:30.639
<v Speaker 1>Humans have twenty three pairs of chromosomes, one pair of

0:22:30.680 --> 0:22:35.199
<v Speaker 1>that sex chromosomes. So uh, that's different if you're female

0:22:35.280 --> 0:22:38.880
<v Speaker 1>or male. Obviously for females too, X chromosomes. If you're male,

0:22:38.880 --> 0:22:43.199
<v Speaker 1>it's an X and Y chromosome. Why because we like you.

0:22:43.440 --> 0:22:49.320
<v Speaker 1>And then the rest of the chromosomes are all other types, right,

0:22:49.359 --> 0:22:52.639
<v Speaker 1>And you've got these are the ones that uh, you

0:22:52.760 --> 0:22:56.119
<v Speaker 1>have one pair you have inherited from your father, and

0:22:56.160 --> 0:22:58.840
<v Speaker 1>one pair you've inherited from your one half of the

0:22:58.840 --> 0:23:02.080
<v Speaker 1>pair I should say you've inherited from your mother. And

0:23:02.160 --> 0:23:06.679
<v Speaker 1>so you've got these packages of genes. They are of

0:23:06.720 --> 0:23:10.720
<v Speaker 1>different sizes. Uh, they have different types of genes in them.

0:23:11.200 --> 0:23:16.720
<v Speaker 1>Things that would be important for very related elements in

0:23:16.760 --> 0:23:21.000
<v Speaker 1>our lives, like things that might be uh important instructions

0:23:21.040 --> 0:23:23.879
<v Speaker 1>for the production of one type of cell that's very

0:23:23.920 --> 0:23:26.119
<v Speaker 1>similar to another type of cell could be found in

0:23:26.160 --> 0:23:29.320
<v Speaker 1>totally different chromosomes. So it's not like, you know, it's

0:23:29.320 --> 0:23:31.760
<v Speaker 1>not like you would go to a library and pick

0:23:31.800 --> 0:23:34.480
<v Speaker 1>out a book and like everything. There's no decimal system

0:23:34.640 --> 0:23:37.520
<v Speaker 1>new it's kind of all jumbled up, but it makes

0:23:37.560 --> 0:23:41.240
<v Speaker 1>sense to biology it were, or sense in the sense

0:23:41.280 --> 0:23:45.160
<v Speaker 1>that it works. And we're here. Yes, So that those

0:23:45.160 --> 0:23:48.639
<v Speaker 1>are your basic definitions, right, You've got your DNA, your genes,

0:23:49.160 --> 0:23:52.800
<v Speaker 1>your amino acids and proteins, you've got your chromosomes. Essentially

0:23:52.800 --> 0:23:56.440
<v Speaker 1>the collection of all this information we call the genome

0:23:56.840 --> 0:24:02.240
<v Speaker 1>for a specific life form, right, every every human genome,

0:24:02.280 --> 0:24:05.760
<v Speaker 1>there's a mouse genome, there's an E. Coli genome exactly.

0:24:06.160 --> 0:24:09.720
<v Speaker 1>So there we go. That's that's my I'm done, I've defined.

0:24:10.320 --> 0:24:13.200
<v Speaker 1>I'm back in a way. Take over. Would you guys

0:24:13.200 --> 0:24:16.680
<v Speaker 1>like to talk about the sequencing of the human genome please?

0:24:16.840 --> 0:24:20.399
<v Speaker 1>That sounds wonderful, excellent. Let us do that pretty recent,

0:24:20.520 --> 0:24:22.320
<v Speaker 1>wasn't it? That was extremely recent? That was that thing

0:24:22.320 --> 0:24:24.520
<v Speaker 1>in two thousand three that I was talking about. Um

0:24:24.560 --> 0:24:28.399
<v Speaker 1>the Human Genome Project was kicked off October one of

0:24:28.680 --> 0:24:32.879
<v Speaker 1>ninet so basically after the Department of Energy helped create

0:24:32.920 --> 0:24:37.080
<v Speaker 1>the atomic bomb. Um Us Congress said, hey, guys, this

0:24:37.160 --> 0:24:39.560
<v Speaker 1>is some some wacky stuff that you have created, and

0:24:39.600 --> 0:24:41.840
<v Speaker 1>we would really like you to apply some of this

0:24:41.960 --> 0:24:45.119
<v Speaker 1>amazing scientific technology and know how that you have to

0:24:45.720 --> 0:24:51.480
<v Speaker 1>figuring out how this horrific creation is screwing up our genetics. Um.

0:24:51.760 --> 0:24:54.200
<v Speaker 1>And they technically said this to the Atomic Energy Commission

0:24:54.200 --> 0:24:57.600
<v Speaker 1>and the Energy Research and Development Administration, which were the

0:24:57.640 --> 0:25:00.720
<v Speaker 1>predecessors to the Department of Energy. But at any rate,

0:25:00.760 --> 0:25:04.280
<v Speaker 1>the the what what became the Department of Energy got

0:25:04.320 --> 0:25:07.199
<v Speaker 1>together with the National Institutes of Health and started the

0:25:07.280 --> 0:25:11.840
<v Speaker 1>Human Genome Project, which was to sequence the entire human genome,

0:25:12.359 --> 0:25:15.919
<v Speaker 1>which enormous, enormous tasks, which is a which is a

0:25:15.960 --> 0:25:18.720
<v Speaker 1>big deal. I mean, at the time, they thought that

0:25:18.800 --> 0:25:23.720
<v Speaker 1>there were a hundred and fifty thousand genes making up

0:25:23.720 --> 0:25:25.879
<v Speaker 1>the genomes. As it turns out, like Jonathan said that

0:25:25.880 --> 0:25:31.960
<v Speaker 1>it's more like so, human chromosomes range in size from

0:25:32.000 --> 0:25:35.520
<v Speaker 1>fifty million to three hundred million base pairs, and in

0:25:35.640 --> 0:25:38.520
<v Speaker 1>order to to sequence out the genome, you have to

0:25:38.760 --> 0:25:42.760
<v Speaker 1>split that down um by a process that's called bacterial

0:25:42.840 --> 0:25:50.560
<v Speaker 1>artificial chromosome UH sequencing into into smaller, smaller little bits

0:25:50.600 --> 0:25:55.080
<v Speaker 1>of base pair information only hundred and fifty thousand base

0:25:55.119 --> 0:26:00.600
<v Speaker 1>pairs a GOO. This was super complicated because, like I said,

0:26:00.720 --> 0:26:04.399
<v Speaker 1>you know, we have identified genes and figured out what

0:26:04.560 --> 0:26:07.520
<v Speaker 1>some genes do and what you know, what they're encoded

0:26:07.520 --> 0:26:10.480
<v Speaker 1>to do, what kind of proteins there they make. But

0:26:10.520 --> 0:26:14.880
<v Speaker 1>there's a lot of replicated information within human genes. There

0:26:14.920 --> 0:26:16.520
<v Speaker 1>there are a whole segments that you look at, Like

0:26:16.680 --> 0:26:19.240
<v Speaker 1>when I made that talk about the magnetic tape, it's

0:26:19.240 --> 0:26:21.280
<v Speaker 1>as if like let's say that we're talking about magnet

0:26:21.320 --> 0:26:24.119
<v Speaker 1>tape and it's an old cassette tape that has music

0:26:24.160 --> 0:26:26.080
<v Speaker 1>on it. It would be like you're listening to an

0:26:26.119 --> 0:26:29.280
<v Speaker 1>album and three songs after the first song, like, you

0:26:29.480 --> 0:26:31.320
<v Speaker 1>listen the first song like that's pretty good. Three more

0:26:31.320 --> 0:26:33.160
<v Speaker 1>songs go by, and then the first song comes on again,

0:26:33.359 --> 0:26:36.320
<v Speaker 1>like why did they do it twice? The human gene

0:26:36.600 --> 0:26:39.240
<v Speaker 1>genome is kind of filled with stuff like that, including

0:26:39.320 --> 0:26:42.639
<v Speaker 1>stuff that we still call non coding DNA because we

0:26:42.680 --> 0:26:45.560
<v Speaker 1>don't know if it actually is doing anything all right,

0:26:45.640 --> 0:26:47.159
<v Speaker 1>So they had to they had to split up the

0:26:47.560 --> 0:26:50.840
<v Speaker 1>total genome into these kind of workable fragments. They split

0:26:50.840 --> 0:26:53.560
<v Speaker 1>it further than I just mentioned, know what's called subclones,

0:26:53.840 --> 0:26:56.439
<v Speaker 1>and then let these bacteria replicate these little pieces of

0:26:56.520 --> 0:26:58.960
<v Speaker 1>DNA and in a way that they can really get

0:26:58.960 --> 0:27:01.399
<v Speaker 1>in and figure out what the pairs are doing and

0:27:01.400 --> 0:27:06.359
<v Speaker 1>and and how everything fits together. So they wind up

0:27:06.359 --> 0:27:09.040
<v Speaker 1>with a with A, B, A C library and and

0:27:09.240 --> 0:27:13.000
<v Speaker 1>from that, you know, have have determined the sequences of

0:27:13.000 --> 0:27:15.399
<v Speaker 1>the chemical base pairs that make up DNA and have

0:27:15.760 --> 0:27:18.840
<v Speaker 1>put all of this information into databases for researchers to

0:27:19.040 --> 0:27:22.440
<v Speaker 1>play around with. Yeah, it's also interesting to me that

0:27:22.720 --> 0:27:26.280
<v Speaker 1>early on, when they were first identifying genes, it was

0:27:26.320 --> 0:27:29.879
<v Speaker 1>at such a slow pace relatively speaking, that there were

0:27:29.920 --> 0:27:31.520
<v Speaker 1>people who thought that it was going to take a

0:27:31.560 --> 0:27:36.359
<v Speaker 1>century to map out the human genome. The projected timeline

0:27:36.400 --> 0:27:39.399
<v Speaker 1>for the project was from two thousand and five. They

0:27:39.400 --> 0:27:42.639
<v Speaker 1>completed it two years early in two thousand three, and

0:27:42.840 --> 0:27:47.840
<v Speaker 1>um about point three billion under budget. So and that

0:27:47.840 --> 0:27:51.720
<v Speaker 1>was so part of it is because they could not

0:27:52.040 --> 0:27:56.199
<v Speaker 1>anticipate improvements in the processes. I mean, we we never can, right.

0:27:56.280 --> 0:27:59.119
<v Speaker 1>We never think in ten years we'll be able to

0:27:59.119 --> 0:28:02.359
<v Speaker 1>do this much more quickly because of X. We usually

0:28:02.359 --> 0:28:05.400
<v Speaker 1>think in terms of what we're capable of doing right now,

0:28:05.520 --> 0:28:07.680
<v Speaker 1>and that's how we project out how long it's going

0:28:07.720 --> 0:28:11.959
<v Speaker 1>to take us. If we're lucky, then technology and science

0:28:12.000 --> 0:28:16.640
<v Speaker 1>progresses at such a rate that the task becomes less overwhelming. Also,

0:28:16.680 --> 0:28:19.840
<v Speaker 1>we learned that it wasn't as big a job as

0:28:19.880 --> 0:28:22.639
<v Speaker 1>we as we original thought. Yeah, well it's um, you know,

0:28:22.840 --> 0:28:27.080
<v Speaker 1>intracellular biology progressed and really dovetailed with the computer industry,

0:28:27.359 --> 0:28:29.960
<v Speaker 1>and if we had not had the kind of developments

0:28:30.040 --> 0:28:33.680
<v Speaker 1>and computers, then shortly we've taken Yeah, that's what I

0:28:33.720 --> 0:28:36.040
<v Speaker 1>was just thinking of starting in the early nineties. I mean,

0:28:36.119 --> 0:28:39.440
<v Speaker 1>think of how crappy computers were back then. But another

0:28:39.480 --> 0:28:43.040
<v Speaker 1>interesting thing, mine still ran on a O L that's

0:28:43.080 --> 0:28:49.040
<v Speaker 1>not how that so another wow, it was like a

0:28:49.120 --> 0:28:53.320
<v Speaker 1>thousand people cried out in anguish. I'm imagining that they're

0:28:53.360 --> 0:28:57.440
<v Speaker 1>doing the Human Genome project with like the desktop calculator

0:28:57.480 --> 0:29:01.000
<v Speaker 1>application and Windows three point one. Well, you know what's

0:29:01.040 --> 0:29:03.920
<v Speaker 1>also interesting is that this is not directly related to

0:29:03.960 --> 0:29:08.000
<v Speaker 1>the Human Genome project, but it's it's a similar field. Uh.

0:29:08.040 --> 0:29:10.000
<v Speaker 1>You know, I was talking about proteins earlier, these long

0:29:10.080 --> 0:29:12.520
<v Speaker 1>chains of amino acids. One of the other interesting things

0:29:12.560 --> 0:29:15.000
<v Speaker 1>about proteins is that they fold, and when they fold,

0:29:15.040 --> 0:29:20.160
<v Speaker 1>that's what gives them certain features of property properties exactly,

0:29:20.240 --> 0:29:23.680
<v Speaker 1>thank you. And we don't fully understand the folding process. Well,

0:29:23.760 --> 0:29:27.440
<v Speaker 1>the folding is determined we think by the amino acid sequence, right,

0:29:27.520 --> 0:29:31.360
<v Speaker 1>So it's it's a long chain and you can imagine

0:29:31.360 --> 0:29:35.400
<v Speaker 1>that it's like a chain of letters in a particular sequence, right, um,

0:29:35.480 --> 0:29:38.720
<v Speaker 1>and what order the letters come in determines the three

0:29:38.720 --> 0:29:42.320
<v Speaker 1>dimensional shape that the protein twists up into. Right. And

0:29:42.360 --> 0:29:45.560
<v Speaker 1>there's actually a really cool project called Folding at Home.

0:29:45.680 --> 0:29:47.960
<v Speaker 1>Have you guys heard of this. Folding at Home is

0:29:48.200 --> 0:29:52.560
<v Speaker 1>one of those distributed computing networks where, uh, you can

0:29:52.600 --> 0:29:57.120
<v Speaker 1>participate in helping scientists determine what proteins will take, what shapes,

0:29:57.640 --> 0:29:59.479
<v Speaker 1>why they do it, what kind of properties they have.

0:29:59.640 --> 0:30:03.400
<v Speaker 1>It's really be useful for things like potential medical uses.

0:30:03.680 --> 0:30:06.560
<v Speaker 1>So what happens is it's one of those that you

0:30:06.600 --> 0:30:09.240
<v Speaker 1>sign up for this project, you install some software, and

0:30:09.280 --> 0:30:12.440
<v Speaker 1>then your computer, when it's idle, is actually working on

0:30:12.560 --> 0:30:16.440
<v Speaker 1>these various computer models of proteins, and as it solves

0:30:16.520 --> 0:30:19.560
<v Speaker 1>these different models, it then sends that information back off

0:30:19.600 --> 0:30:23.520
<v Speaker 1>to the centralized server which collects it and you know,

0:30:23.960 --> 0:30:27.000
<v Speaker 1>vets everything that comes back in. Keep in mind, this

0:30:27.080 --> 0:30:29.400
<v Speaker 1>is all automatic. You're not putting in any even put here,

0:30:29.640 --> 0:30:32.520
<v Speaker 1>but it vets it all and then essentially puts it

0:30:32.520 --> 0:30:35.760
<v Speaker 1>in a database. So that the body of knowledge about

0:30:35.840 --> 0:30:39.760
<v Speaker 1>proteins and how they fold grows dramatically over time as

0:30:39.760 --> 0:30:41.880
<v Speaker 1>more and more people joined this project. I love that

0:30:41.960 --> 0:30:46.880
<v Speaker 1>kind of distributed simulation. Just that that's steady, right, But anyway,

0:30:46.920 --> 0:30:49.480
<v Speaker 1>that's that's getting even further afield. So back to the

0:30:49.520 --> 0:30:52.920
<v Speaker 1>human genome. So along with sequencing the human genome, the

0:30:52.960 --> 0:30:57.320
<v Speaker 1>project led to UM a lot of other creatures genomes

0:30:57.320 --> 0:31:00.840
<v Speaker 1>being sequenced UM like I said earlier, ecal um, mice,

0:31:00.960 --> 0:31:03.880
<v Speaker 1>the fruit fly, stuff like that, UM to to help

0:31:03.960 --> 0:31:09.440
<v Speaker 1>us start working in the larger gene field. And basically

0:31:09.480 --> 0:31:12.120
<v Speaker 1>all of the research that's happening today and in gene

0:31:12.200 --> 0:31:15.600
<v Speaker 1>therapy and in genetics is because of the research that

0:31:15.720 --> 0:31:18.440
<v Speaker 1>was pioneered in the Human Genome project. I think that's

0:31:18.480 --> 0:31:22.160
<v Speaker 1>really useful having the full genomic information about like fruit

0:31:22.160 --> 0:31:24.960
<v Speaker 1>flies or icola. I mean, you can run so many

0:31:25.040 --> 0:31:28.840
<v Speaker 1>generations of those organisms in the lab, which you can't

0:31:28.840 --> 0:31:31.800
<v Speaker 1>do with humans and and probably can't even realistically do.

0:31:32.640 --> 0:31:35.520
<v Speaker 1>And and usually the genomes are a lot shorter on

0:31:35.520 --> 0:31:38.960
<v Speaker 1>on more simple organisms, which is interesting. It's not always

0:31:38.960 --> 0:31:41.200
<v Speaker 1>the case because there are like like the number of

0:31:41.240 --> 0:31:46.360
<v Speaker 1>genes you can find in certain creatures can be dramatically

0:31:46.480 --> 0:31:50.880
<v Speaker 1>larger than that of UM, or dramatically more than what

0:31:50.960 --> 0:31:55.920
<v Speaker 1>you would find in humans. It's the plexity doesn't necessarily translate.

0:31:56.480 --> 0:31:58.680
<v Speaker 1>It does not and uh and it depends on I mean, like,

0:31:58.720 --> 0:32:02.680
<v Speaker 1>for example, the platypus has ten sex chromosomes. Yeah, it does.

0:32:03.800 --> 0:32:07.080
<v Speaker 1>I don't even know what that's for. Only platypus is no.

0:32:07.720 --> 0:32:10.640
<v Speaker 1>They have a they have a don't ask, don't quack policy.

0:32:11.040 --> 0:32:14.600
<v Speaker 1>Do they know? What do they do? They pretty much

0:32:14.640 --> 0:32:17.240
<v Speaker 1>don't do anything. Have you not watched They don't do

0:32:17.320 --> 0:32:20.160
<v Speaker 1>very much have some kind of crazy sex. Al Right, guys, guy,

0:32:20.520 --> 0:32:21.920
<v Speaker 1>if you know what a platypus, if you know the

0:32:21.960 --> 0:32:24.560
<v Speaker 1>platypus sounds like I want to hear it, let me

0:32:24.800 --> 0:32:27.719
<v Speaker 1>let me know. Okay, all right, that's fair. So so

0:32:27.880 --> 0:32:29.640
<v Speaker 1>the first person who can send us a sound of

0:32:29.640 --> 0:32:34.640
<v Speaker 1>a platypus, when's Laurence applause? Yeah, okay. So we've mentioned

0:32:35.160 --> 0:32:39.200
<v Speaker 1>some basic research in the abstract, but what can you

0:32:39.200 --> 0:32:42.840
<v Speaker 1>actually do with genetic genetic information? Like, how do you

0:32:43.280 --> 0:32:46.080
<v Speaker 1>apply it practically? Gosh, Joe, I don't know that was

0:32:46.080 --> 0:32:49.239
<v Speaker 1>your segment. I was hoping you'd tell us. So one

0:32:49.240 --> 0:32:50.719
<v Speaker 1>of the things we want to talk about was this

0:32:50.800 --> 0:32:53.320
<v Speaker 1>idea of DNA matching, right, the idea of being able

0:32:53.360 --> 0:32:55.800
<v Speaker 1>to to I mean, think about if you are able

0:32:55.880 --> 0:33:01.760
<v Speaker 1>to understand your genetic information, if you're able to know

0:33:01.880 --> 0:33:05.360
<v Speaker 1>that this sequence is something that was inherited, then that

0:33:05.400 --> 0:33:08.360
<v Speaker 1>means that you can find links between you and other people.

0:33:08.600 --> 0:33:11.160
<v Speaker 1>It means that it could be useful for things like

0:33:11.200 --> 0:33:16.360
<v Speaker 1>a genealogy. It can be useful for things like paternity testing.

0:33:16.560 --> 0:33:19.800
<v Speaker 1>It can be useful for things like someone left some

0:33:19.880 --> 0:33:23.120
<v Speaker 1>blood behind at this crime scene. I wonder whose blood

0:33:23.160 --> 0:33:27.760
<v Speaker 1>this is. There are a lot of different potentials. Yeah.

0:33:27.880 --> 0:33:30.680
<v Speaker 1>So one of the interesting things I was thinking about

0:33:30.800 --> 0:33:34.440
<v Speaker 1>was was paternity testing, and I wondered, how did they

0:33:34.680 --> 0:33:39.480
<v Speaker 1>do this before they had genetic testing, and then furthermore,

0:33:39.560 --> 0:33:42.640
<v Speaker 1>just how does it actually work? But it so, one

0:33:42.720 --> 0:33:44.480
<v Speaker 1>of the things I found that I thought was interesting

0:33:44.560 --> 0:33:48.880
<v Speaker 1>was before they had genetic paternity tests, they would often

0:33:48.960 --> 0:33:53.400
<v Speaker 1>use blood type testing. Okay, that makes you know enough sense,

0:33:53.440 --> 0:33:56.400
<v Speaker 1>I suppose. I mean, it's it's pretty inaccurate considering the

0:33:56.480 --> 0:33:59.960
<v Speaker 1>number of humans that are out there with similar blood types. Yeah,

0:34:00.280 --> 0:34:02.240
<v Speaker 1>they didn't have a lot to work with. But so

0:34:02.360 --> 0:34:06.200
<v Speaker 1>with blood testing, so you have a scheme of blood typing,

0:34:06.200 --> 0:34:08.759
<v Speaker 1>and they're actually different types of blood typing. There's not

0:34:08.840 --> 0:34:11.960
<v Speaker 1>just one type of Uh. One thing you can look

0:34:12.000 --> 0:34:15.600
<v Speaker 1>at is like the A B O antigens, right um,

0:34:15.640 --> 0:34:17.759
<v Speaker 1>And so that's your system where you can be like

0:34:17.920 --> 0:34:23.680
<v Speaker 1>A A B oh um and O positive negative. And

0:34:24.239 --> 0:34:27.200
<v Speaker 1>so these things are inherited. But some of these are

0:34:27.760 --> 0:34:30.720
<v Speaker 1>dominant and some are recessive. And once we had a

0:34:30.760 --> 0:34:34.120
<v Speaker 1>Mendalian genetic model for how blood types A B O

0:34:34.200 --> 0:34:38.000
<v Speaker 1>blood types are inherited. You could use that to say, well,

0:34:38.120 --> 0:34:42.120
<v Speaker 1>you couldn't identify for sure that somebody was somebody's kid,

0:34:42.400 --> 0:34:46.720
<v Speaker 1>but you could rule out that they could be their kid. Right,

0:34:46.800 --> 0:34:49.640
<v Speaker 1>so someone narrowed down the field. Well, one thing I

0:34:49.680 --> 0:34:52.920
<v Speaker 1>read about it apparently this happened to Charlie Chaplin. Like

0:34:53.280 --> 0:34:57.000
<v Speaker 1>somebody said that Charlie Chaplin had had fathered her child

0:34:57.040 --> 0:35:01.800
<v Speaker 1>and he denied it. And uh, and the genetic not genetic.

0:35:01.840 --> 0:35:04.920
<v Speaker 1>It was before genetic testing that the blood type testing

0:35:05.080 --> 0:35:08.200
<v Speaker 1>said that he was not the father um in a

0:35:08.320 --> 0:35:12.320
<v Speaker 1>very more Povich kind of way. But but apparently they

0:35:12.320 --> 0:35:15.600
<v Speaker 1>couldn't use this in the courts at that time, and

0:35:15.680 --> 0:35:18.279
<v Speaker 1>so he ended up paying child support anyway. So, so

0:35:18.320 --> 0:35:23.480
<v Speaker 1>tell me about the the progression from this fairly primitive

0:35:23.520 --> 0:35:26.279
<v Speaker 1>in the grand scheme of things approach to matching to

0:35:26.719 --> 0:35:29.960
<v Speaker 1>DNA matching. Well, now that we've got d N A,

0:35:30.719 --> 0:35:34.920
<v Speaker 1>we've got a much higher uh, we've got more things

0:35:35.000 --> 0:35:38.799
<v Speaker 1>to match, basically to give you a stronger piece of confidence.

0:35:38.840 --> 0:35:44.160
<v Speaker 1>So let's say that your blood type test only shows agreement. Well,

0:35:44.239 --> 0:35:45.920
<v Speaker 1>that doesn't narrow it down much at all, like we

0:35:46.000 --> 0:35:49.040
<v Speaker 1>talked about. But let's say you can identify a certain

0:35:49.120 --> 0:35:53.160
<v Speaker 1>number of genetic markers between the suspected father and the

0:35:53.280 --> 0:35:57.080
<v Speaker 1>child and look for matches. Now, if you only have

0:35:57.400 --> 0:36:01.560
<v Speaker 1>a suspected father and the child, it's a little bit

0:36:01.600 --> 0:36:06.920
<v Speaker 1>harder to get a positive match, um, because you can

0:36:06.960 --> 0:36:10.040
<v Speaker 1>look at a child and say, like they say, they

0:36:10.040 --> 0:36:15.960
<v Speaker 1>have a gene like A and B, and um, the

0:36:16.000 --> 0:36:21.680
<v Speaker 1>father has genes B and C. You don't know if

0:36:21.719 --> 0:36:26.200
<v Speaker 1>that be in the child necessarily came from the father. Yeah. Um,

0:36:26.239 --> 0:36:30.160
<v Speaker 1>But you can get a much better idea if you

0:36:30.320 --> 0:36:34.319
<v Speaker 1>also have the mother's DNA and find that in that

0:36:34.400 --> 0:36:38.080
<v Speaker 1>same genetic marker the mother does not have B. So

0:36:39.000 --> 0:36:41.560
<v Speaker 1>there you have a much higher level of confidence. You

0:36:41.640 --> 0:36:44.560
<v Speaker 1>do this over multiple genetic markers, and if you keep

0:36:45.000 --> 0:36:49.040
<v Speaker 1>finding matches between the father and the child that do

0:36:49.080 --> 0:36:52.759
<v Speaker 1>not match with the mother's DNA, then you have a

0:36:53.440 --> 0:36:57.399
<v Speaker 1>near certainty. Um, the more markers you measure, the higher

0:36:57.440 --> 0:36:59.520
<v Speaker 1>certainty you can get. What they don't do, though, is

0:36:59.560 --> 0:37:03.959
<v Speaker 1>they don't compare the entire genome, because, as we've talked about,

0:37:04.000 --> 0:37:06.200
<v Speaker 1>lots of it just wouldn't make any difference, and and

0:37:06.239 --> 0:37:09.239
<v Speaker 1>lots of it would be identical anyway, because it's identical

0:37:09.400 --> 0:37:12.640
<v Speaker 1>in everybody. Also, processing all of that would be way

0:37:12.680 --> 0:37:16.120
<v Speaker 1>more work than is in any way necessary. Yeah. Well,

0:37:16.160 --> 0:37:19.200
<v Speaker 1>in fact, all human beings have it's like ninety nine

0:37:19.320 --> 0:37:22.400
<v Speaker 1>point nine percent the same DNA, and right, it'd be

0:37:22.440 --> 0:37:25.680
<v Speaker 1>like taking a book that's a thousand pages long, and

0:37:25.760 --> 0:37:29.000
<v Speaker 1>nine hundred and ninety nine of those pages are going

0:37:29.040 --> 0:37:32.000
<v Speaker 1>to be identical. They kind of the identical words on them.

0:37:32.440 --> 0:37:35.320
<v Speaker 1>But if you but there's one page worth of words

0:37:35.400 --> 0:37:37.359
<v Speaker 1>that will be different, and you have to go through

0:37:37.360 --> 0:37:40.279
<v Speaker 1>the whole thing. They're spread out throughout the entire For

0:37:40.280 --> 0:37:42.799
<v Speaker 1>those words are spread out, Yeah, it's it's our Our

0:37:42.840 --> 0:37:45.719
<v Speaker 1>code differs it around um ten million points out of

0:37:45.800 --> 0:37:48.799
<v Speaker 1>you know, three point two billion. Yeah, that's right. So

0:37:48.800 --> 0:37:51.239
<v Speaker 1>it would be like the genetic expertise. What you do

0:37:51.280 --> 0:37:53.520
<v Speaker 1>there is you open the book to a certain page

0:37:53.719 --> 0:37:56.840
<v Speaker 1>that you already know is going to have a variant

0:37:57.000 --> 0:38:00.520
<v Speaker 1>on word number three on this page, and then you

0:38:00.560 --> 0:38:03.000
<v Speaker 1>can compare it from there, and then you just do

0:38:03.040 --> 0:38:05.440
<v Speaker 1>that as many times as possible on down the line. Now,

0:38:05.480 --> 0:38:07.880
<v Speaker 1>of course, once you get a certain number of matches,

0:38:08.000 --> 0:38:11.160
<v Speaker 1>it's it's so certain that you really just don't need

0:38:11.200 --> 0:38:14.480
<v Speaker 1>to mess with it anymore. Sure that that the odds

0:38:14.600 --> 0:38:19.240
<v Speaker 1>of any other person it's a are are just incredibly tiny.

0:38:19.440 --> 0:38:23.440
<v Speaker 1>This is from a BBC right up. So forensic DNA

0:38:23.520 --> 0:38:26.600
<v Speaker 1>test and this is it's talking about forensic d so

0:38:26.680 --> 0:38:29.520
<v Speaker 1>that this isn't a paternity business. Yeah, it would be

0:38:29.560 --> 0:38:33.400
<v Speaker 1>a crime. But so to identify a blood sample to

0:38:33.480 --> 0:38:36.880
<v Speaker 1>the same person, you'd examine like six to ten genetic

0:38:36.960 --> 0:38:39.760
<v Speaker 1>markers and they say the chances of two unrelated people

0:38:40.280 --> 0:38:43.520
<v Speaker 1>having the same matches in those cases is one and

0:38:43.560 --> 0:38:47.719
<v Speaker 1>one billion. Those are those are some pretty high odds there, um.

0:38:47.760 --> 0:38:50.239
<v Speaker 1>And of course, so that brings up the other thing.

0:38:50.360 --> 0:38:55.680
<v Speaker 1>Genetic matching is often often also used in forensic analysis,

0:38:55.760 --> 0:38:57.600
<v Speaker 1>so you can use it in the court system to

0:38:58.760 --> 0:39:02.359
<v Speaker 1>try to prove somebody guilt. And I know that this

0:39:02.480 --> 0:39:06.040
<v Speaker 1>is difficult in a lot of cases because there's frustration

0:39:06.160 --> 0:39:08.440
<v Speaker 1>that I think both sides in court cases have the

0:39:08.960 --> 0:39:13.320
<v Speaker 1>juries don't really understand DNA evidence in a lot of cases,

0:39:13.400 --> 0:39:19.240
<v Speaker 1>and they value they can value eyewitness testimony above DNA evidence.

0:39:19.239 --> 0:39:22.640
<v Speaker 1>I mean, there are plenty of cases where either someone

0:39:22.840 --> 0:39:26.480
<v Speaker 1>was pronounced guilty or not guilty, and there have been

0:39:26.520 --> 0:39:29.000
<v Speaker 1>a lot of there's been a lot of criticism in

0:39:29.000 --> 0:39:32.840
<v Speaker 1>in cases all across the board where it seemed like

0:39:32.880 --> 0:39:37.040
<v Speaker 1>a jury was ignoring any sort of DNA evidence in

0:39:37.160 --> 0:39:40.080
<v Speaker 1>favor of eyewitness testimony. And one of the things we

0:39:40.160 --> 0:39:43.280
<v Speaker 1>can tell you a lot about is that human memory

0:39:43.520 --> 0:39:47.200
<v Speaker 1>is not infallible. You can't. You can't just think that

0:39:47.280 --> 0:39:50.279
<v Speaker 1>human memory is perfect. And even if someone is being

0:39:50.320 --> 0:39:53.160
<v Speaker 1>completely honest when they're on the stand, they could be

0:39:53.200 --> 0:39:55.319
<v Speaker 1>telling that doesn't mean that they're not wrong. Yeah, they

0:39:55.320 --> 0:39:58.080
<v Speaker 1>could be telling something that's totally wrong. It's essentially a falsehood,

0:39:58.080 --> 0:40:00.000
<v Speaker 1>but it's not one that they intended to be false.

0:40:00.520 --> 0:40:03.080
<v Speaker 1>It's just that they remember it differently than how it

0:40:03.120 --> 0:40:07.560
<v Speaker 1>actually happened. Whereas DNA testing, assuming everything is on the

0:40:07.640 --> 0:40:11.000
<v Speaker 1>up and up right, assuming there's no tampering, assuming that

0:40:11.400 --> 0:40:15.680
<v Speaker 1>everyone was following proper procedure and proper controls, is far

0:40:15.800 --> 0:40:19.520
<v Speaker 1>more reliable. But that's not generally understood. Yeah, I mean,

0:40:19.719 --> 0:40:23.320
<v Speaker 1>if you have a reputable lab doing this, and especially

0:40:23.360 --> 0:40:27.520
<v Speaker 1>if you get redundant results from multiple labs and they're

0:40:27.560 --> 0:40:31.200
<v Speaker 1>testing a large number of markers, it's going to be right,

0:40:31.320 --> 0:40:35.040
<v Speaker 1>you know. Yeah, again, unless you're identical twin committed the crime,

0:40:35.239 --> 0:40:38.719
<v Speaker 1>or or unless unless you've been framed. Yeah, right right,

0:40:39.239 --> 0:40:42.720
<v Speaker 1>that's that's the other that's the only other real option.

0:40:43.320 --> 0:40:47.120
<v Speaker 1>So identical twins are not always genetically identical. That's yeah,

0:40:47.160 --> 0:40:51.239
<v Speaker 1>that's true. Interesting point. Yeah, it's it's those you know

0:40:51.320 --> 0:40:54.600
<v Speaker 1>that that you know, ten million different differentiation points are

0:40:54.800 --> 0:40:57.400
<v Speaker 1>can be can be different. I think monos I gottic

0:40:57.440 --> 0:41:02.120
<v Speaker 1>twins are. They're sort of generally con sidered genetically identical.

0:41:02.320 --> 0:41:05.719
<v Speaker 1>But is it a case where what there is variation

0:41:05.800 --> 0:41:09.920
<v Speaker 1>but there's so little variation it's negligible, or or what's

0:41:09.920 --> 0:41:12.960
<v Speaker 1>the deal. Well, there's um those differences that I was

0:41:13.000 --> 0:41:17.120
<v Speaker 1>talking about are called single nucleotide polymorphisms, and and so

0:41:17.280 --> 0:41:19.879
<v Speaker 1>few of them can be different. But you know that

0:41:19.880 --> 0:41:23.840
<v Speaker 1>that for for all phenotype, all visual intents and purposes

0:41:23.880 --> 0:41:27.800
<v Speaker 1>to people would be identical. But but for example, some

0:41:27.800 --> 0:41:31.360
<v Speaker 1>some identical twins are more likely to get certain mental

0:41:31.400 --> 0:41:35.080
<v Speaker 1>health issues or physical issues like one over the other. Yeah,

0:41:35.239 --> 0:41:40.000
<v Speaker 1>so one might could that could that also be influenced

0:41:40.000 --> 0:41:44.000
<v Speaker 1>by environmental factors like causing genetic changes? Oh yeah, you know,

0:41:44.080 --> 0:41:48.040
<v Speaker 1>our genes definitely can undergo changes that aren't you know.

0:41:48.080 --> 0:41:51.879
<v Speaker 1>It's not like when you inherit your genes that that's

0:41:51.880 --> 0:41:53.560
<v Speaker 1>the way they are for the rest of your life.

0:41:53.600 --> 0:41:56.560
<v Speaker 1>They can change and do change due to lots of

0:41:56.560 --> 0:42:00.920
<v Speaker 1>different factors, including environmental factors. Uh. That's that's whole the

0:42:00.920 --> 0:42:03.640
<v Speaker 1>process of mutation, which we will cover in depth in

0:42:03.719 --> 0:42:06.680
<v Speaker 1>another episode. Join us next time when we talk about

0:42:06.680 --> 0:42:09.440
<v Speaker 1>gene therapy and x men. Yeah, that's right, that's coming

0:42:09.520 --> 0:42:11.400
<v Speaker 1>up in the next episode. We're really excited to talk

0:42:11.440 --> 0:42:13.279
<v Speaker 1>about it. So you guys have to wait a couple

0:42:13.280 --> 0:42:15.239
<v Speaker 1>of days, but we get to wait all of you know,

0:42:15.360 --> 0:42:17.799
<v Speaker 1>a couple of minutes. So we're gonna wrap this up. Guys.

0:42:17.840 --> 0:42:21.440
<v Speaker 1>If you have any suggestions for future episodes of Forward Thinking,

0:42:21.480 --> 0:42:24.080
<v Speaker 1>go to f W thinking dot com. That's where we've

0:42:24.120 --> 0:42:27.120
<v Speaker 1>got all the podcast blog posts, we've got links to

0:42:27.160 --> 0:42:29.520
<v Speaker 1>other articles. You can get in touch with us through there,

0:42:29.560 --> 0:42:32.440
<v Speaker 1>and we are excited to hear from you and for

0:42:32.520 --> 0:42:34.200
<v Speaker 1>you to be come fart of this conversation about the

0:42:34.239 --> 0:42:37.560
<v Speaker 1>future and what's gonna be awesome about it, and we

0:42:37.560 --> 0:42:44.400
<v Speaker 1>will talk to you again really soon. For more on

0:42:44.440 --> 0:42:47.640
<v Speaker 1>this topic in the future of technology, visit forward thinking

0:42:47.719 --> 0:43:01.360
<v Speaker 1>dot Com, brought to you by Toyota to go places