NDLI: Population estimators or progeny tests: what is the best method to assess null allele frequencies at SSR loci?

Content Provider	Springer Nature Link
Author	Oddou Muratorio, Sylvie Vendramin, Giovanni G. Buiteveld, Joukje Fady, Bru
Copyright Year	2008
Abstract	Nuclear SSRs are notorious for having relatively high frequencies of null alleles, i.e. alleles that fail to amplify and are thus recessive and undetected in heterozygotes. In this paper, we compare two kinds of approaches for estimating null allele frequencies at seven nuclear microsatellite markers in three French Fagus sylvatica populations: (1) maximum likelihood methods that compare observed and expected homozygote frequencies in the population under the assumption of Hardy-Weinberg equilibrium and (2) direct null allele frequency estimates from progeny where parent genotypes are known. We show that null allele frequencies are high in F. sylvatica (7.0% on average with the population method, 5.1% with the progeny method), and that estimates are consistent between the two approaches, especially when the number of sampled maternal half-sib progeny arrays is large. With null allele frequencies ranging between 5% and 8% on average across loci, population genetic parameters such as genetic differentiation (F ST) may be mostly unbiased. However, using markers with such average prevalence of null alleles (up to 15% for some loci) can be seriously misleading in fine scale population studies and parentage analysis.
Starting Page	1343
Ending Page	1347
Page Count	5
File Format	PDF
ISSN	15660621
Journal	Conservation Genetics
Volume Number	10
Issue Number	5
e-ISSN	15729737
Language	English
Publisher	Springer Netherlands
Publisher Date	2008-08-15
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Microsatellites Fagus sylvatica Null alleles Progeny Population genetics Plant Sciences Evolutionary Biology Conservation Biology/Ecology Animal Anatomy / Morphology / Histology
Content Type	Text
Resource Type	Article
Subject	Genetics Ecology, Evolution, Behavior and Systematics

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