Microsatellite null alleles and estimation of population differentiation.

By M. Chapuis, Arnaud Estoup. Molecular biology and evolution, 2007

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Landscape genetics of the Alpine newt (Mesotriton alpestris) inferred from a strip-based approach (2011, neutral): “tions with a large effective size (Chapuis and Estoup 2007).”
Low connectivity and declining genetic variability along a depth gradient in Corallium rubrum populations (2011, methodology): “The presence of null alleles was examined by estimating null allele frequencies for each locus and sample following the Expectation Maximization (EM) algorithm of Dempster et al. (1977) using FREENA (Chapuis and Estoup 2007).”
Aquatic insects in a sea of desert: population genetic structure is shaped by limited dispersal in a naturally fragmented landscape (2013, background): “FSTAT was also used to calculate expected heterozygosity (He) and allelic richness (AR; rarefied to a sample size of 14) for each population.”
Standard methods for characterising subspecies and ecotypes of Apis mellifera (2013, methodology): “The term null alleles is used to describe alleles that will not yield a PCR product (Chapuis and Estoup, 2007).”
Anthropogenic and natural disturbance lead to differing patterns of gene flow in the Rocky Mountain tailed frog, Ascaphus montanus. (2010, neutral): “To calculate G0ST, we used RecodeData v 0.1 (Meirmans, 2006) to create a file of genotypes that were maximally differentiated, and created pairwise FST values using FreeNA based on the recoded file.”