[MUSIC] Okay, so here on this slide, you have all the facts that you have to remember. The white type face makes obviously a white type plaque called Rplus on equal id. Its original host, and it makes a plaque on K lambda. It also makes a plaque on K nonlysogenic for lambda, which I didn't put on the slide. The y type plaque is very small, or somewhat small, and has fuzzy edges. You can see that. These two plaques are y type plaques. Now about five, six, seven years earlier, Alfred Hershey had observed that when you plate a large number of C4 or C2, C6 particles, you see sometimes a plaque which is different. A morphological mutant. This is the R-plaque. You don't have to go r for rapid. The reason for rapid is not relevant. The point is that it's very easy to see R-plaques in a sea of R plus plaques. Because they're bigger, they have sharp edges, and so they are visible. You can isolate many r mutants. They all have the same plaque morphology. However, some do grow on K lambda. Those are called the r1 And some don't grow in K lambda and they call the rII. You can isolate many mutants, many rII mutants. And then you can ask, how can I modify the gene in so many different ways? Are those mutants all the same or different, etc., etc.? So, Benzer realizes that the system is one of the most beautiful systems, because it gives you both a screen and a selection. The screen is a screen for mutants. Occasionally the screen for wild type in a mutant background, but usually the screen is done for Mutant around y type. So that's a very easy screen. Screen means that you look at each individual particle, and you pick the one that look different. Selection, on the other hand, in genetics is used to mean that you will not look at many individuals, and only some will show up. This word, this use of selection is different than the use of selection in several other human activities. You know, if you look at a catalog and you select a piece of furniture, in fact you screen the catalog, and you pick the one you want. In genetics, what you do is you take the entire population of the Earth, you dump them in the middle of the Pacific, and you look if there is one, two, or three swimmers that survive. That's what we call selection. Everybody else is not seen. Only the ones that you're interested are seen. The R2 system provides you with a selection. Because you can identify one phage out of a million, a billion, ten billion. Ten billion is the population of the earth. One single particle. Selection is used, for instance, in bacterial genetics when you select for a antibiotic resistant mutant. You select that one, because you put the antibiotic. Everybody else is dead or is not growing. And only the resistant one is growing. It's a very important concept, because it's not always. You have to make sure that you use the two, the two practical. Experiments, screening and selecting in a proper way. So, he realized you can select for R plus. So, At that time he immediately realizes that you can take a mutant. And you can ask for a number of different properties of this mutant. First of all, you can map the mutant on the chromosome. That's what geneticists have been doing since Morgan. You can map the mutant and the mutant can be close or they can be far away. If they are far away it's easy to recombine between the mutants and get a Y type. If they are close it's less easy, if they are very close it becomes almost very uneasy. So this distant, genetic distantance is based on recombination and crossing over. Of chromosomes. So you can take ten mutants and put them on the map. Okay? There will be one on the extreme left of the map and one on the extreme right of the map. And the other one would be in the middle. That's one information about the gene. The mapping was facilitated because in his first 1955 paper Benzer spends about a page of the journal discussing in a quantitative but arbitrary way this distance. So he says we know that roughly the phage T4 has 200,000 base pays. It's a rough approximation, the size is actually 180, it's pretty good for the time. We know that if we take neurons off the phage, a different low side that, if a different morphological aspect of the plaques. We can make crosses and we can identify the, or we can measure the distance and the distance are called percentage recombination. Because when you make a cross, you have one parent, the other parent and the recombinant. If the recombinant are 10% of the progeny you say that the recombination frequency is 10%, and this unit of recombination was given to Morgan and so you call it 10 centimorgan. One Morgan is 100% recombination, 1% of recombination is one centiMorgan. So they know the size, approximate size of the Phage genome, genetic size, and it's approximately 200 units altogether. It looks like if the phage had more than one chromosome, in fact it has one chromosome. But the recombination is so high that if you take markers that are far away, they look like they're not on the same chromosome. Okay, so he knows the number of nucleotides, he knows the map. 200 units, 200,000 nucleotide. So, if we make a very crude calculation, if you have a mutation in base number 2, and a mutation in base number 3, and if you can recombine them, the percent recombination should be 10 to the minus 5, 1 in a 100,000. So one of the thing that Benzer immediately started doing was to count the recombination frequency of his R2 mutants. And he had some that were and I'll take a few examples. So the most extreme were about 6.8% rocombination, 7%. The closest thing he first set, we're at 0.5% recombination. Which means that if you plate a 1000 particles, you get 5 plaques on k lambda. So he knew that the system was good enough for fine structure analysis, which was quite impressive. This computation is exceedingly rough and only indicates an order of magnitude of the scale factor. Supplementary results are presented here to extend genetic studies to the molecular, parentheses, nucleotide level. You will go now to the nucleotide level. That's his aide. Now he can also ask another question, the question is how stable is the gene or a particular gene? If you take a wide type phage and you plate it. You get about, depends on the experiment, but you get about 1 in a few 1,000 r plaque. So you know that the stability, say 1 in a 1,000, the stability will be 99.9%. That's a number. Now you can take a single mutant, a single R2 mutant, and you can ask, is it possible to make a mistake that is exactly the mirror image of the original mistake so that you go back to the y-type. Let's say that I have an A residue at one position and I will change that A to a G. It's another base so that's a mutant. Now the question you ask is can you take the G and can the replication machine make the mistake of, once per X generation, make the mistake and go back to the A? It's very easy to answer that question. Because what you do is, you take a stock, clone a population of mutant, and you plate it on a k lambda host. On the k lambda host, the revertant will form a plaque, right? So you can ask that. So he did this. And he found that some of the mutants, approximately 5 to 10% of the mutants will not revert. You will never go back to the y type. In his first table, he says less than 10 to the minus 8. In later paper, it would go down to less than 10 to the minus 10. And nobody has ever seen a revertant from these mutants. You have to think of these mutants as if you have the first single copy of [FOREIGN] with 100 songs. And some enemy of Dante decides that one of the song is not fit for publication. So he tears the pages of the manuscript and burned them. And then he kills so he cannot rewrite the thing and now we're left with a manuscript of 99 books or songs. We can never go back. Unless a new Dante appear, we can never go back to the original. This is called a deletion. This is a mutant that cannot go back. Very different from the mutant that is a typo from an a to a g. A deletion cannot go back to the Y type. A deletion is terminal.