Geographic sampling scheine as a determinant of the major axis of genetic variation in principal components analysis

Michael DeGiorgio, Noah A. Rosenberg

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Principal component (PC) maps, which plot the values of a given PC estimated on the basis of allele frequency variation at the geographic sampling locations of a set of populations, are often used to investigate the properties of past range expansions. Some studies have argued that in a range expansion, the axis of greatest variation (i.e., the first PC) is parallel to the axis of expansion. In contrast, others have identified a pattern in which the axis of greatest variation is perpendicular to the axis of expansion. Here, we seek to understand this difference in outcomes by investigating the effect of the geographic sampling scheme on the direction of the axis of greatest variation under a two-dimensional range expansion model. From datasets simulated using each of two different schemes for the geographic sampling of populations under the model, we create PC maps for the first PC. We find that depending on the geographic sampling scheme, the axis of greatest variation can be either parallel or perpendicular to the axis of expansion. We provide an explanation for this result in terms of intra- and interpopulation coalescence times.

Original languageEnglish (US)
Pages (from-to)480-488
Number of pages9
JournalMolecular biology and evolution
Volume30
Issue number2
DOIs
StatePublished - Feb 1 2013

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Principal Component Analysis
genetic variation
principal component analysis
range expansion
Geographic Locations
sampling
Gene Frequency
Population
coalescence
gene frequency
allele
Direction compound
Datasets

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Molecular Biology
  • Genetics

Cite this

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Geographic sampling scheine as a determinant of the major axis of genetic variation in principal components analysis. / DeGiorgio, Michael; Rosenberg, Noah A.

In: Molecular biology and evolution, Vol. 30, No. 2, 01.02.2013, p. 480-488.

Research output: Contribution to journalArticle

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