Scinovex
article Open AccessTop 10% cited

Description and Power Analysis of Two Tests for Detecting Recent Population Bottlenecks From Allele Frequency Data

Genetics · 1996 · Vol. 144(4) · pp. 2001–2014
J. M. CornuetGordon Luikart

Abstract

When a population experiences a reduction of its effective size, it generally develops a heterozygosity excess at selectively neutral loci, i.e., the heterozygosity computed from a sample of genes is larger than the heterozygosity expected from the number of alleles found in the sample if the population were at mutation drift equilibrium. The heterozygosity excess persists only a certain number of generations until a new equilibrium is established. Two statistical tests for detecting a heterozygosity excess are described. They require measurements of the number of alleles and heterozygosity at each of several loci from a population sample. The first test determines if the proportion of loci with heterozygosity excess is significantly larger than expected at equilibrium. The second test establishes if the average of standardized differences between observed and expected heterozygosities is significantly different from zero. Type I and II errors have been evaluated by computer simulations, varying sample size, number of loci, bottleneck size, time elapsed since the beginning of the bottleneck and level of variability of loci. These analyses show that the most useful markers for bottleneck detection are those evolving under the infinite allele model (IAM) and they provide guidelines for selecting sample sizes of individuals and loci. The usefulness of these tests for conservation biology is discussed.

Genetic Mapping and Diversity in Plants and AnimalsGenetic diversity and population structureGenetic and phenotypic traits in livestockLoss of heterozygosityBiologyBottleneckGeneticsPopulationAlleleAllele frequencySample size determinationPopulation bottleneckPopulation genetics

Funding

  • La Trobe University
Citations
4,344
FWCI
7.31
field-weighted impact
References
58
Percentile
98%
vs. same field & year
Citations per year
References
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.