Genetic Structure and Selection in Subdivided Populations

Genetic Structure and Selection in Subdivided Populations by François Rousset, published by Princeton University Press on January 25, 2004, is a New Edition comprising 264 pages in English. This book offers a comprehensive review and synthesis of various approaches to understanding the impact of spatial structure on evolution within subdivided populations, grounded in the theory of spatial genetic structure.
Readers will find an examination of classical and contemporary models, including Sewall Wright’s F-statistics, effective size, and diffusion approximation, as well as coalescent arguments and inclusive fitness theory. Rousset presents these concepts within a unified framework, highlighting their interconnections and demonstrating the applicability of tools across different methodologies. The content is accessible to advanced graduate students and researchers in evolutionary ecology and population genetics, while also appealing to applied mathematicians and statisticians interested in the underlying principles of these analyses.
Official synopsis Publisher
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. François 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.
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