Evolution and Selection of Quantitative Traits

ISBN : 9780198830870

Bruce Walsh; Michael Lynch
1504 ページ
219 x 276 mm

This is the second volume in a planned trilogy that summarises the modern field of quantitative genetics, informed by empirical observations from wide-ranging fields (agriculture, evolution, ecology, and human biology) as well as population genetics, statistical theory, mathematical modeling, genetics, and genomics.


1 Changes in quantitative traits over time
Evolution at one and two loci
2 Neutral evolution in one- and two-locus systems
3 The genetic effective size of a population
4 The nonadaptive forces of evolution
5 The population genetics of selection
6 Theorems of natural selection: Results of Price, Fisher, and Robertson
7 Interaction of selection, mutation, and drift
8 Hitchhiking and selective sweeps
9 Using molecular data to detect selection: Signatures from recent single events
10 Using molecular data to detect selection: Signatures from multiple historical events
Drift and quantitative traits
11 Changes in genetic variance induced by drift
12 The neutral divergence of quantitative traits
Short-term response on a single character
13 Short-term changes in the mean: 1. The breeder's equation
14 Short-term changes in the mean: 2. Truncation and threshold selection
15 Short-term changes in the mean: 3. Permanent versus transient response
16 Short-term changes in the variance: 1. Changes in the additive variance
17 Short-term changes in the variance: 2. Changes in environmental variance
18 Analysis of short-term selection experiments: 1. Least-squares approaches
19 Analysis of short-term selection experiments: 2. Mixed-model and bayesian approaches
20 Selection response in natural populations
Selection in structured populations
21 Family-based selection
22 Associative effects: Competition, social interactions, group and kin selection
23 Selection under inbreeding
Population-genetic models of trait response
24 The infinitesimal model and its extensions
25 Long-term response: 1. Deterministic aspects
26 Long-term response: 2. Finite population size and mutation
27 Long-term response: 3. Adaptive walks
28 Maintenance of quantitative genetic variation
Measuring selection on traits
29 Individual fitness and the measurement of univariate selecton
30 Measuring multivariate selection
A1 Diffusion theory
A2 Introduction to Bayesian Analysis
A3 Markov Chain Monte Carlo and Gibbs sampling
A4 Multiple comparisons: Bonferroni corrections, false-discovery rates, and meta-analysis
A5 The geometry of vectors and matrices: Eigenvalues and eigenvectors
A6 Derivatives of vectors and vector-valued functions
Literature Cited
Author Index
Organism and Trait Index
Subject Index


Bruce Walsh is Professor of Ecology and Evolutionary Biology at the University of Arizona. He has taught advanced classes on quantitative genetics in 25 different countries and his research interests are at the interface of biology, genetics, mathematical modelling, and statistics. He is also an avid lepidopterist, having described over two dozen species of new moths and has three species named after him.; Michael Lynch is Professor in the Schoool of Life Sciences at Arizona State University and is Center Director of the Biodesign Center for Mechanims of Evolution. His research is focused on mechanisms of evolution at the gene, genomic, cellular, and phenotypic levels, with special attention being given to the roles of mutation, random genetic drift, and recombination. He is a member of the US National Academy of Sciences, and a fellow of the American Academy of Arts and Sciences.