Estimation, variance and optimal sampling of gene diversity View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1995-03

AUTHORS

O. Pons, R. J. Petit

ABSTRACT

An extension of Nei's analysis of diversity in a subdivided population is proposed for a haploid locus. The differentiation G STbecomes a natural extension of Wright's F STand generalizes Weir and Cockerham's parameter of co-ancestry by relaxing the assumption of identical correlation for all the alleles. Inter- and intrapopulation variances of the estimated diversities and differentiation are derived. Finally, the optimal sampling strategy for measuring G STwhen a fixed number of individuals can be analysed is considered. It is shown that, at a given locus, there is a unique sample size per population which yields the smallest variance of G ST,regardless of the number of populations studied. These theoretical developments are illustrated with an analysis of chloroplast DNA diversity in a forest tree. The results emphasize the necessity of sampling many populations, rather than many individuals per population, for an accurate measurement of the subdivision of gene diversity at a single locus. More... »

PAGES

462-470

Journal

TITLE

Theoretical and Applied Genetics

ISSUE

3-4

VOLUME

90

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00221991

DOI

http://dx.doi.org/10.1007/bf00221991

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036887193

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24173939


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