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The ‘New Wave’ in plant demographic inference: more loci and more individuals
Author(s) -
LASCOUX MARTIN,
PETIT REMY J.
Publication year - 2010
Publication title -
molecular ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.619
H-Index - 225
eISSN - 1365-294X
pISSN - 0962-1083
DOI - 10.1111/j.1365-294x.2010.04547.x
Subject(s) - biology , inference , gene flow , evolutionary biology , population genetics , population , range (aeronautics) , genotyping , genetic variation , ecology , genetics , demography , genotype , gene , computer science , artificial intelligence , materials science , sociology , composite material
Plant population genetic surveys are starting to take full advantage of technological advances in genotyping methods and of methodological advances in demographic inference. In this issue of Molecular Ecology, Keller et al . (2010) illustrate this trend with a particularly convincing study of rangewide genetic variation in a North American poplar, using both SNP and sequence data. They first investigate population genetic structure by estimating the most likely number of genetic clusters using a more formal approach than most other studies to date. They proceed by estimating gene flow among the inferred populations and by testing predictions on the distribution of low frequency alleles derived from recent work on range expansions.