Evaluating loci for use in the genetic analysis of population structure
1996; Royal Society; Volume: 263; Issue: 1377 Linguagem: Inglês
10.1098/rspb.1996.0237
ISSN1471-2954
AutoresMark Beaumont, Richard A. Nichols,
Tópico(s)Genetic and phenotypic traits in livestock
ResumoRestricted accessMoreSectionsView PDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InRedditEmail Cite this article Beaumont Mark A. and Nichols Richard A. 1996Evaluating loci for use in the genetic analysis of population structureProc. R. Soc. Lond. B.2631619–1626http://doi.org/10.1098/rspb.1996.0237SectionRestricted accessArticleEvaluating loci for use in the genetic analysis of population structure Mark A. Beaumont Google Scholar Find this author on PubMed Search for more papers by this author and Richard A. Nichols Google Scholar Find this author on PubMed Search for more papers by this author Mark A. Beaumont Google Scholar Find this author on PubMed and Richard A. Nichols Google Scholar Find this author on PubMed Published:22 December 1996https://doi.org/10.1098/rspb.1996.0237AbstractLoci that show unusually low or high levels of genetic differentiation are often assumed to be subject to natural selection. We propose a method for the identification of loci showing such disparities. The differentiation can be quantified using the statistic FST. For a range of population structures and demographic histories, the distribution of FST is strongly related to the heterozygosity at a locus. Outlying values of FST can be identified in a plot of FSTvs. heterozygosity using a null distribution generated by a simple genetic model. We use published data-sets to illustrate the importance of the relationship with heterozygosity. We investigate a number of models of population structure, and demonstrate that the null distribution is robust to a wide range of conditions. In particular, the distribution is robust to differing mutation rates, and therefore different molecular markers, such as allozymes, restriction fragment length polymorphisms (RFLPS) and single strand conformation polymorphisms (SSCPS) can be compared together. We suggest that genetic variation at a discrepant locus, Identified under these conditions, is likely to have been influenced by natural selection, either acting on the locus itself or at a closely linked locus.FootnotesThis text was harvested from a scanned image of the original document using optical character recognition (OCR) software. As such, it may contain errors. Please contact the Royal Society if you find an error you would like to see corrected. Mathematical notations produced through Infty OCR. 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