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Adaptive topography of fluctuating selection in a Mendelian population
Author(s) -
LANDE R.
Publication year - 2008
Publication title -
journal of evolutionary biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.289
H-Index - 128
eISSN - 1420-9101
pISSN - 1010-061X
DOI - 10.1111/j.1420-9101.2008.01533.x
Subject(s) - biology , mendelian inheritance , selection (genetic algorithm) , evolutionary biology , population , adaptive evolution , genetics , ecology , demography , gene , artificial intelligence , sociology , computer science
An adaptive topography is derived for a large randomly mating diploid population under weak density‐independent selection in a fluctuating environment. Assuming a stationary distribution of environmental states with no temporal autocorrelation, a diffusion approximation for population size and allele frequency, p , reveals that the expected change in p involves the gradient with respect to p of the stochastic intrinsic rate of increase (the density‐independent long‐run growth rate), , where r is the mean Malthusian fitness in the average environment and is the environmental variance in population growth rate. The expected relative fitness of a genotype is its Malthusian fitness in the average environment minus the covariance of its fitness with population growth rate. The influence of fitness correlation between genotypes is illustrated by an analysis of the Haldane–Jayakar model of fluctuating selection on a single diallelic locus, and on two loci with additive effects on a quantitative character.