期刊
THEORETICAL POPULATION BIOLOGY
卷 71, 期 1, 页码 109-119出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.tpb.2006.06.005
关键词
population genetics; diffusion theory; entrance law; Kolmogorov forward equation
资金
- NIGMS NIH HHS [R01-GM40282] Funding Source: Medline
A forward diffusion equation describing the evolution of the allele frequency spectrum is presented. The influx of mutations is accounted for by imposing a suitable boundary condition. For a Wright-Fisher diffusion with or without selection and varying population size, the boundary condition is lim(x down arrow 0) xf(x, t) = theta p(t), where f((.), t) is the frequency spectrum of derived alleles at independent loci at time t and p(t) is the relative population size at time t. When population size and selection intensity are independent of time, the forward equation is equivalent to the backwards diffusion usually used to derive the frequency spectrum, but this approach allows computation of the time dependence of the spectrum both before an equilibrium is attained and when population size and selection intensity vary with time. From the diffusion equation, a set of ordinary differential equations for the moments of f((.), t) is derived and the expected spectrum of a finite sample is expressed in terms of those moments. The use of the forward equation is illustrated by considering neutral and selected alleles in a highly simplified model of human history. For example, it is shown that approximately 30% of the expected total heterozygosity of neutral loci is attributable to mutations that arose since the onset of population growth in roughly the last 150, 000 years. (c) 2006 Elsevier Inc. All rights reserved.
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