Genetic Structure and Selection in Subdivided Populations
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A01=Francois Rousset
Allele
Allele frequency
Allopatric speciation
Approximation
Author_Francois Rousset
Background selection
Binomial distribution
Category=PSAK
Coalescent theory
Coefficient of relationship
Correlation and dependence
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eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Estimation
Estimator
Evolution
Evolution of dominance
Evolutionary dynamics
F-statistics
Fecundity
Frequency-dependent selection
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
Kin recognition
Kin selection
Leslie matrix
Local adaptation
Local convergence
Logarithm
Mendelian inheritance
Metapopulation
Mutation rate
Overdominance
Parental investment
Phenotype
Phenotypic trait
Polymorphism (biology)
Population dynamics
Population genetics
Population model
Population size
Price equation
Probability
Probability distribution
Reproductive value (population genetics)
Sampling (statistics)
Scale parameter
Segregate (taxonomy)
Selection bias
Sex ratio
Statistical population
Sympatric speciation
Wahlund effect
Product details
- ISBN 9780691088174
- Weight: 312g
- Dimensions: 140 x 216mm
- Publication Date: 25 Jan 2004
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
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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.
Francois 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.
