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PMID: 8978083 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Description and power analysis of two tests for detecting recent population bottlenecks from allele frequency data.

Genetics ·Vol. 144 ·No. 4 ·1996-12-00 ·Pages 2001-14

Cornuet JM, Luikart G

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.

MeSH Terms
Alleles Animals Gene Frequency Genetics, Population Humans Models, Genetic Models, Theoretical
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Cornuet J M
Laboratoire Population, Génétique, Evolution, CNRS, Gif sur Yvette, France. [email protected]
Luikart G
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Article Info
Journal
Genetics
Abbr.
Genetics
ISSN
0016-6731
Published
1996-12-00
Pages
2001-14
Language
English
Region
United States
NLM ID
0374636
PMCID
PMC1207747
Subset
IM
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