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Evolution and Selection of Quantitative Traits$
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Bruce Walsh and Michael Lynch

Print publication date: 2018

Print ISBN-13: 9780198830870

Published to Oxford Scholarship Online: September 2018

DOI: 10.1093/oso/9780198830870.001.0001

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The Nonadaptive Forces of Evolution

The Nonadaptive Forces of Evolution

Chapter:
(p.81) 4 The Nonadaptive Forces of Evolution
Source:
Evolution and Selection of Quantitative Traits
Author(s):

Bruce Walsh

Michael Lynch

Publisher:
Oxford University Press
DOI:10.1093/oso/9780198830870.003.0004

This chapter examines the relative strengths of the nonadaptive evolutionary forces (drift, mutation, recombination) acting on genomes. It reviews estimators for effective population size, mutation rate, and recombination rate, and summarizes the known genomic results over a wide range of taxa. The mutation rate tends to be lower in organisms with larger effective population sizes, consistent with the drift-barrier hypothesis wherein selection is ineffective when it is less than the reciprocal of the effective population size.

Keywords:   codon bias, drift-barrier hypothesis, four-allele test, Lewontin's paradox of variation, Luria-Delbruck distribution, nucleotide diversity, number of segregating sites, Tajima estimator, Watterson estimator

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