Genetic Structure and Selection in Subdivided Populations (eBook)

François Rousset (Autor)

eBook Download: PDF

2013
Princeton University Press (Verlag)
978-1-4008-4724-2 (ISBN)

Infos

Various approaches have been developed to evaluate the consequences of spatial structure on evolution in subdivided populations. This book is both a review and new synthesis of several of these approaches, based on the theory of spatial genetic structure. Francois Rousset examines Sewall Wright's methods of analysis based on F-statistics, effective size, and diffusion approximation; coalescent arguments; William Hamilton's inclusive fitness theory; and approaches rooted in game theory and adaptive dynamics. Setting these in a framework that reveals their common features, he demonstrates how efficient tools developed within one approach can be applied to the others. Rousset not only revisits classical models but also presents new analyses of more recent topics, such as effective size in metapopulations. The book, most of which does not require fluency in advanced mathematics, includes a self-contained exposition of less easily accessible results. It is intended for advanced graduate students and researchers in evolutionary ecology and population genetics, and will also interest applied mathematicians working in probability theory as well as statisticians.

Autor

François Rousset is a senior scientist in the Institute of Evolutionary Sciences (ISEM) in Montpellier, France, which operates under the aegis of the Centre National de la Recherche Scientifique and Montpellier University.

Produkt-Details

• Erscheint lt. Verlag: 15.2.2013
• Reihe/Serie: Monographs in Population Biology
• Reihe/Serie: Monographs in Population Biology
• Zusatzinfo: 18 line illus.
• Verlagsort: Princeton
• Sprache: englisch
• Themenwelt: Naturwissenschaften ► Biologie ► Evolution
• Themenwelt: Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie
• Themenwelt: Technik
• Schlagworte: Allele • allele frequency • allopatric speciation • Analysis of Variance • Approximation • Assortative Mating • Background selection • Bessel function • Binomial Distribution • coalescent theory • Coefficient of relationship • Computation • Correlation and dependence • data set • Design of Experiments • Eigenvalues and Eigenvectors • estimation • Estimator • Evolution • evolutionary dynamics • evolutionary ecology • evolutionary game theory • Evolution of dominance • Fecundity • fourier analysis • frequency-dependent selection • F-statistics • Gene • gene conversion • Genetic Analysis • genetic correlation • genetic distance • Genetic divergence • genetic diversity • genetic drift • Genetic marker • genetic structure • genetic variance • genetic variation • Genotype • Genotype frequency • genotyping • germline • group selection • haplotype • Heterozygote advantage • human genetic variation • Identity by Descent • Importance Sampling • Inbreeding • inference • In Specie • Kin recognition • kin selection • kurtosis • Leslie matrix • Local adaptation • local convergence • logarithm • Lyapunov exponent • Markov Chain • Meiosis • Mendelian Inheritance • metapopulation • mutation rate • outcrossing • Overdominance • Parental investment • Phenotype • Phenotypic trait • Poisson distribution • Polymorphism (biology) • Population • population dynamics • Population Genetics • Population model • Population Size • Price equation • Probability • Probability Distribution • Projection matrix • quantitative trait locus • Random Effects Model • Random Variable • Reproductive value (population genetics) • Sample (statistics) • Sampling (Statistics) • Scale Parameter • seed dispersal • Segregate (taxonomy) • Selection bias • Sex Ratio • spatial heterogeneity • Statistical Inference • Statistical population • Statistics • Stochastic process • Sympatric speciation • Variance • Wahlund effect
• ISBN-10: 1-4008-4724-9 / 1400847249
• ISBN-13: 978-1-4008-4724-2 / 9781400847242