Open AccessInference of population structure using multilocus genotype data: dominant markers and null alleles
Author(s) -
FALUSH DANIEL,
STEPHENS MATTHEW,
PRITCHARD JONATHAN K.
Publication year - 2007
Publication title -
molecular ecology notes
Language(s) - English
Resource type - Journals
eISSN - 1471-8286
pISSN - 1471-8278
DOI - 10.1111/j.1471-8286.2007.01758.x
Subject(s) - biology , genotype , genetics , population , microsatellite , amplified fragment length polymorphism , allele , inference , evolutionary biology , ambiguity , computational biology , computer science , artificial intelligence , genetic diversity , gene , demography , sociology , programming language
Dominant markers such as amplified fragment length polymorphisms (AFLPs) provide an economical way of surveying variation at many loci. However, the uncertainty about the underlying genotypes presents a problem for statistical analysis. Similarly, the presence of null alleles and the limitations of genotype calling in polyploids mean that many conventional analysis methods are invalid for many organisms. Here we present a simple approach for accounting for genotypic ambiguity in studies of population structure and apply it to AFLP data from whitefish. The approach is implemented in the program structure version 2.2, which is available from http://pritch.bsd.uchicago.edu/structure.html.