Conservation Genetics

, 10:1343

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

  • Sylvie Oddou-Muratorio
  • Giovanni G. Vendramin
  • Joukje Buiteveld
  • Bruno Fady
Short Communication

DOI: 10.1007/s10592-008-9648-4

Cite this article as:
Oddou-Muratorio, S., Vendramin, G.G., Buiteveld, J. et al. Conserv Genet (2009) 10: 1343. doi:10.1007/s10592-008-9648-4

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 (FST) 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.

Keywords

MicrosatellitesFagus sylvaticaNull allelesProgenyPopulation genetics

Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  • Sylvie Oddou-Muratorio
    • 1
  • Giovanni G. Vendramin
    • 2
  • Joukje Buiteveld
    • 3
  • Bruno Fady
    • 1
  1. 1.INRA URFM, Ecologie des Forêts MéditerranéennesAvignon Cedex 9France
  2. 2.Plant Genetics Institute, CNRSesto FiorentinoItaly
  3. 3.Alterra Wageningen University and Research CentreWageningenThe Netherlands