麻省理工大学:遗传学(Genetics)讲稿_lecture9

Lecture 9 By way of review, let's consider the general question of how genetic mapping studies can be used to locate a gene that has been identified by an allele with an interesting phenotype. For example, the CLOCK mutation in mouse was identified as a semi-dominant mutation that disrupts the normal circadian rhythm this mutation was isolated after mutagenesis of animals with ethyl-nitorosourea and then screening their offspring for abnormal activity at a time when normal mice would be sleeping Lets assume that we have at our disposal a large number of genetic markers spaced evenly along all of the mouse chromosomes (later in the course we will discuss DNA-based markers which can be found in an almost unlimited number in the mammalian genome) and that we have the capability to screen about 1000 mice for recombinants in a mapping experiment. The question of how precisely we can locate the CLoCK gene can be considered to be a question of the resolving power of a mapping experiment. Two points on a genetic map can only be resolved if a recombination event that separates them can be found. The smallest interval that can be resolved on average if 1000 progeny screened is 1 recombinant in 1000 which corresponds to a map distance of w 0.1 cM on either side of the CLoCK mutation. Thus we would be able to map the CLOCK mutation to an interval of o2 cm In mice, and in humans, a simple rule of thumb is that 1 cM corresponds to a physical distance of about 1 Mbp. Therefore our mapping experiment would locate the CLOCK gene to a region of dna about 200 kbp in size. Such an interval may contain two to ten gene sequences so additional work using recombinant DNA methods would be needed to precisely identify the CLOCK gene. However, there is still no substitute for recombinational mapping studies as a way to initially narrow down the approximate location of a gene
Lecture 9 Lecture 9Lecture 9 By way of review, let’s consider the general question of how genetic mapping studies can be used to locate a gene that has been identified by an allele with an interesting phenotype. For example, the CLOCK mutation in mouse was identified as a semi-dominant mutation that disrupts the normal circadian rhythm. This mutation was isolated after mutagenesis of animals with ethyl-nitorosourea and then screening their offspring for abnormal activity at a time when normal mice would be sleeping. Let’s assume that we have at our disposal a large number of genetic markers spaced evenly along all of the mouse chromosomes (later in the course we will discuss DNA-based markers which can be found in an almost unlimited number in the mammalian genome) and that we have the capability to screen about 1000 mice for recombinants in a mapping experiment. The question of how precisely we can locate the CLOCK gene can be considered to be a question of the resolving power of a mapping experiment. Two points on a genetic map can only be resolved if a recombination event that separates them can be found. The smallest interval that can be resolved on average if 1000 progeny are screened is 1 recombinant in 1000 which corresponds to a map distance of ~ 0.1 cM on either side of the CLOCK mutation. Thus we would be able to map the CLOCK mutation to an interval of 0.2 cM. In mice, and in humans, a simple rule of thumb is that 1 cM corresponds to a physical distance of about 1 Mbp. Therefore our mapping experiment would locate the CLOCK gene to a region of DNA about 200 kbp in size. Such an interval may contain two to ten gene sequences so additional work using recombinant DNA methods would be needed to precisely identify the CLOCK gene. However, there is still no substitute for recombinational mapping studies as a way to initially narrow down the approximate location of a gene

To review how we can categorize tetrads consider the following cross Trp1- Leu2+ x Trpl- Leu2 Trpl-Leu2+, Trpl*Leu2-, Trpl*Leu2*, Trpl-Leu2 This is a Tetratype Trpl-Leu2+ Trpl-Leu2*, Trpl*Leu2-, Trpl*Leu2 This is a PD Trpl*Leu2+, Trpl*Leu2*, Trpl-Leu2-, Trpl-Leu2 This is an NPD Now consider a cross that involves mutations that have the same phenotype Leu1-Leu2+ x Leu1+Leu2 Notice that even though we can't always unambiguously assign genotypes to each spore clone we can distinguish the three tetrad types Tetratype genotype ph phenotype genotype ph phenotype genotype phenotype 1+2 Leu Leut Le 12 1+2- Le 1+2- Leu 12 Lc 12+ Le 1+2 12- Lc Here are the steps used in tetrad analysis cOunt tetrads of each type to get four numbers: PD, T, NPD, total ii) If the classes are in the following ratio: PD: T: NPD the genes are unlinked and you are finished IO) If PD >> NPD, then the genes are linked and the distance between them is given by T+6NPD Distance in CM 100
To review how we can categorize tetrads consider the following cross: Trp1– Leu2+ x Trp1+ Leu2– Trp1–Leu2+, Trp1+Leu2–, Trp1+Leu2+, Trp1–Leu2– This is a Tetratype TetratypeTetratype Trp1–Leu2+, Trp1–Leu2+, Trp1+Leu2–, Trp1+Leu2– This is a PD Trp1+Leu2+, Trp1+Leu2+, Trp1–Leu2–, Trp1–Leu2– This is an NPD Now consider a cross that involves mutations that have the same phenotype. Leu1–Leu2+ x Leu1+Leu2– Notice that even though we can’t always unambiguously assign genotypes to each spore clone we can distinguish the three tetrad types. Tetratype TetratypeTetratype PD NPD genotype phenotype genotype phenotype genotype phenotype 1+2+ Leu+ 1–2+ Leu– 1+2+ Leu+ 1–2– Leu– 1–2+ Leu– 1+2+ Leu+ 1+2– Leu– 1+2– Leu– 1–2– Leu– 1–2+ Leu– 1+2– Leu– 1–2– Leu– Here are the steps used in tetrad analysis: i) Count tetrads of each type to get four numbers: PD, T, NPD, total ii)If the classes are in the following ratio: PD : T : NPD 1 : 4 : 1 the genes are unlinked and you are finished. iii)If PD > > NPD, then the genes are linked and the distance between them is given by: T + 6NPD Distance in cM = x 100 2 Σ

Gene Fine Structure So far we have been considering the phenotypic consequences of mutations in different genes and the relative positions of genes along chromosomes. Now we are going to look at the internal structure of genes themselves and to consider the different kinds of mutations that are found in genes. For the next eleven lectures we will examine the genes of bacteria and their viruses, known as phage(some special features of eukaryotic genes will come later). First, lets see how the life cycle of phage can be exploited to carry out classical genetic manipulations E coli cell DNA synthesis Phage protein expression head assembly Lysis DNA packaging pl lawn of bacteria In order to do genetics with phage it is necessary to have recognizable variants of phage The easiest mutants to work with have obvious distinctive plaque morphologies make small plaques because fewer particles are released n phage normally infects cells to make more phage. But about 1%o of the time phage becomes quiescent in host cell and prevents other phage from infecting that cell. This property of phage n is known as immunity. The quiescent pl Is known as a lysogen er mutants make clear plaques because they can't form lysogens lysogens wild-type unbid plaque clear plaque
Gene Fine Structure So far we have been considering the phenotypic consequences of mutations in different genes and the relative positions of genes along chromosomes. Now we are going to look at the internal structure of genes themselves and to consider the different kinds of mutations that are found in genes. For the next eleven lectures we will examine the genes of bacteria and their viruses, known as phage (some special features of eukaryotic genes will come later). First, let’s see how the life cycle of phage can be exploited to carry out classical genetic manipulations. Phage cross In order to do genetics with phage it is necessary to have recognizable variants of phage. The easiest mutants to work with have obvious distinctive plaque morphologies λ phage mi–: make small plaques because fewer particles are released λ phage normally infects cells to make more phage. But about 1% of the time phage becomes quiescent in host cell and prevents other phage from infecting that cell. This property of phage λ is known as immunity. The quiescent phage is known as a lysogen. cI– mutants make clear plaques because they can’t form lysogens

Phage Cross: Infect bacteria with 10 of each phage per cell to insure that every cell has both kinds of phage replicating inside. Allow one round of growth then plate out the morphology of the plaques Plaque type Frequency lg clear (parent 0.4 sm turbid (paren 04 lg turbid (recomb. 0.1 sm clear (recomb.) 0.1 For this cross the measured distance between mi and cr is number of recombinants 100×100 0 m u(map units) We can also use this system to find the distance between two mutations in the same gene. For example, lets say that we have isolated two different cr mutants that give clear plaques. After infection of E. coli with w10 phage per cell of each mutant, the resulting phage are plated and their plaque morphology is examined. Most of the phage will still be ef, but recombination between mutations will produce wild type phage with turbid plaques. If 2 out of 1,000 phage make turbid plaques then the measured map distance between the two mutations is 0. 4 m u. Note that in this example we are only counting wild type recombinants and there should be an equal number of double-mutant recombinants- both classes of recombinants must be accounted for in calculating the map distance -1 cI-2
Phage Cross: Infect bacteria with ~10 of each phage per cell to insure that every cell has both kinds of phage replicating inside. Allow one round of growth then plate out the phage that are produced to look at the morphology of the plaques. Plaque type Frequency lg clear (parent) 0.4 sm turbid (parent) 0.4 lg turbid (recomb.) 0.1 sm clear (recomb.) 0.1 For this cross the measured distance between mi– and cI– is: number of recombinants 20 x 100 = x 100 = 20 m.u. (map units) total 100 mi cI 20 mu We can also use this system to find the distance between two mutations in the same gene. For example, let’s say that we have isolated two different cI– mutants that give clear plaques. After infection of E. coli with ~10 phage per cell of each mutant, the resulting phage are plated and their plaque morphology is examined. Most of the phage will still be cI–, but recombination between mutations will produce wild type phage with turbid plaques. If 2 out of 1,000 phage make turbid plaques then the measured map distance between the two mutations is 0.4 m.u. Note that in this example we are only counting wild type recombinants and there should be an equal number of double-mutant recombinants — both classes of recombinants must be accounted for in calculating the map distance. cI-1 cI-2 0.4 mu
按次数下载不扣除下载券;
注册用户24小时内重复下载只扣除一次;
顺序:VIP每日次数-->可用次数-->下载券;
- 麻省理工大学:遗传学(Genetics)讲稿_lecture10.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture8.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture4.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture5.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture6.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture7.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture2.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture3.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture1.pdf
- 云南大学:《动物生物学》课程教学资源(PPT课件)节肢动物(主讲:肖衡).ppt
- 中国农业大学:《动物遗传学》课程教学资源(PPT课件讲稿)第8章 非孟德尔遗传(Non-Mendelian Inheritance).ppt
- 中国农业大学:《动物遗传学》课程教学资源(PPT课件讲稿)第7章 动物数量性状的遗传.ppt
- 中国农业大学:《动物遗传学》课程教学资源(PPT课件讲稿)第6章 动物群体的遗传结构.ppt
- 中国农业大学:《动物遗传学》课程教学资源(PPT课件讲稿)第5章 遗传信息的改变.ppt
- 中国农业大学:《动物遗传学》课程教学资源(PPT课件讲稿)期末复习题.ppt
- 中国农业大学:《动物遗传学》课程教学资源(PPT课件讲稿)总复习(Animal Genetics).ppt
- 中国农业大学:《动物遗传学》课程教学资源(PPT课件讲稿)第4章 遗传信息的传递.ppt
- 中国农业大学:《动物遗传学》课程教学资源(PPT课件讲稿)第3章 遗传的基本定律(2).ppt
- 中国农业大学:《动物遗传学》课程教学资源(PPT课件讲稿)第3章 遗传的基本定律(1).ppt
- 中国农业大学:《动物遗传学》课程教学资源(PPT课件讲稿)第2章 遗传的物质基础.ppt
- 麻省理工大学:遗传学(Genetics)讲稿_lecture12.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture11.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture14.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture13.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture15.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture16.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture18.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture17.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture21.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture20.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture19.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture22.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture23.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture25.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture24.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture26.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture29_30.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture27.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture28.pdf
- 麻省理工大学:遗传学(Genetics)讲稿_lecture31.pdf