title: A potential bias in the temporal method for estimating Ne in admixed populations under natural selection.
abstract: Indirect genetic methods are frequently used to estimate the effective population size (N(e)) or effective number of breeders (N(b)) in natural populations. Although assumptions behind these methods are often violated, there have been few attempts to evaluate how accurate these estimates really are in practice. Here we investigate the influence of natural selection following a population admixture on the temporal method for estimating N(e). Our analytical and simulation results suggest that N(e) is often underestimated in this method when subpopulations differ substantially in allele frequencies and in reproductive success. The underestimation is exacerbated when true N(e) and the fraction of the low-fitness group are large. As an empirical example, we compared N(b) estimated in natural populations of steelhead trout (Oncorhynchus mykiss) using the temporal method (N(b[temp])) with estimates based on direct demographic methods (N(b[demo])) and the linkage disequilibrium method (N(b[LD])). While N(b[LD]) was generally in close agreement with N(b[demo]), N(b[temp]) was much lower in sample sets that were dominated by nonlocal hatchery fish with low reproductive success, as predicted by the analytical results. This bias in the temporal method, which arises when genes associated with a particular group of parents are selected against in the offspring sample, has not been widely appreciated before. Such situations may be particularly common when artificial propagation or translocations are used for conservation. The linkage disequilibrium method, which requires data from only one sample, is robust to this type of bias, although it can be affected by other factors.
authors.affiliation: Department of Zoology, 3029 Cordley Hall, Oregon State University Corvallis, OR 97331, USA. arakih@science.oregonstate.edu
authors.forename: Hitoshi
authors.initials: H
authors.lastname: Araki
authors.forename: Robin S
authors.initials: RS
authors.lastname: Waples
authors.forename: Michael S
authors.initials: MS
authors.lastname: Blouin
mesh_terms: D000818:Animals; D015982:Bias; D003198:Computer Simulation; D005260:Female; D005838:Genotype; D015810:Linkage Disequilibrium; D008297:Male; D018895:Microsatellite Repeats; D008957:Models, Genetic; D009010:Monte Carlo Method; D017686:Oncorhynchus mykiss / Q000235:genetics*; D011156:Population Density; D012641:Selection, Genetic