Population Genetics - Matthew B. Hamilton
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Présentation Population Genetics de Matthew B. Hamilton Format Relié
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Résumé : Now updated for its second edition,?Population Genetics?is the?classic, accessible introduction to the concepts of population genetics.?Combining?traditional conceptual approaches?with classical hypotheses and debates, the book equips students to understand?a wide?array of empirical studies?that?are based on the first principles of population genetics.? ? Featuring a highly accessible introduction to coalescent theory, as well as covering?the major conceptual advances in population genetics of the last two decades, the second edition now also includes end of chapter problem sets and revised coverage of recombination in the coalescent model, metapopulation extinction and recolonization, and the fixation index.
Biographie: MATTHEW B. HAMILTON, PHD, is Associate Professor of Biology at Georgetown University, where he teaches Population Genetics, Molecular Evolution, Evolutionary Processes, and similar undergraduate and graduate level courses. He is founding Director of Georgetown's Environmental Biology undergraduate major, past Director of the Georgetown Environment Initiative, and currently conducts research on the processes that influence the distribution of genetic variation within species....
Sommaire: Preface and acknowledgements xiv About the companion websites xvi 1 Thinking like a population geneticist 1 1.1?? Expectations 1 Parameters and parameter estimates 2 Inductive and deductive reasoning 3 1.2 Theory and assumptions 4 1.3 Simulation 5 Interact box 1.1 The textbook website 6 Chapter 1 review 7 Further reading 7 2 Genotype frequencies 8 2.1 Mendel's model of particulate genetics 8 2.2 Hardy-Weinberg expected genotype frequencies 12 Interact box 2.1 Genotype frequencies for one locus with two alleles 14 2.3 Why does Hardy-Weinberg work? 15 2.4 Applications of Hardy-Weinberg 18 Forensic DNA profiling 18 Problem box 2.1 The expected genotype frequency for a DNA profile 20 Testing Hardy-Weinberg expected genotype frequencies 20 Box 2.1 DNA profiling 21 Assuming Hardy-Weinberg to test alternative models of inheritance 24 Problem box 2.2 Proving allele frequencies are obtained from expected genotype frequencies 25 Problem box 2.3 Inheritance for corn kernel phenotypes 26 2.5 The fixation index and heterozygosity 26 Interact box 2.2 Assortative mating and genotype frequencies 27 Box 2.2 Protein locus or allozyme genotyping 30 2.6 Mating among relatives 31 Impacts of non-random mating on genotype and allele frequencies 31 Coancestry coefficient and autozygosit, 33 Box 2.3 Locating relatives using genetic genealogy methods 37 Phenotypic consequences of mating among relatives 38 The many meanings of inbreeding 41 2.7 Hardy-Weinberg for two loci 42 Gametic disequilibrium 42 Physical linkage 47 Natural selection 47 Interact box 2.3 Gametic disequilibrium under both recombination and natural selection 48 Mutation 48 Mixing of diverged populations 49 Mating system 49 Population size 50 Interact box 2.4 Estimating genotypic disequilibrium 51 Chapter 2 review 52 Further reading 52 End-of-chapter exercises 53 Problem box answers 54 3 Genetic drift and effective population size 57 3.1 The effects of sampling lead to genetic drift 57 Interact box 3.1 Genetic drift 62 3.2 Models of genetic drift 62 The binomial probability distribution 62 Problem box 3.1 Applying the binomial formula 64 Math box 3.1 Variance of a binomial variable 66 Markov chains 66 Interact box 3.2 Genetic drift simulated with a markov chain model 69 Problem box 3.2 Constructing a transition probability matrix 69 The diffusion approximation of genetic drift 70 3.3 Effective population size 76 Problem box 3.3 Estimating N e from information about N 81 3.4 Parallelism between Drift and mating among relatives 81 Interact box 3.3 Heterozygosity over time in a finite population 84 3.5 Estimating effective population size 85 Different types of effective population size 85 Interact box 3.4 Estimating N e from allele frequencies and heterozygosity over time 89 Breeding effective population size 90 Effective population sizes of different genomes 92 3.6 Gene genealogies and the coalescent model 92 Interact box 3.5 Sampling lineages in a Wright-Fisher population 94 Math box 3.2 Approximating the probability of a coalescent event with the exponential distribution 99 Interact box 3.6 Build your own coalescent genealogies 100 3.7 Effective population size in the coalescent model 103 Interact box 3.7 Simulating gene genealogies in populations with different effective ...
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