2006
DOI: 10.1534/genetics.106.059451
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Identifying the Environmental Factors That Determine the Genetic Structure of Populations

Abstract: The study of population genetic structure is a fundamental problem in population biology because it helps us obtain a deeper understanding of the evolutionary process. One of the issues most assiduously studied in this context is the assessment of the relative importance of environmental factors (geographic distance, language, temperature, altitude, etc.) on the genetic structure of populations. The most widely used method to address this question is the multivariate Mantel test, a nonparametric method that ca… Show more

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Cited by 318 publications
(404 citation statements)
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“…We used the software GESTE 2.0 (Foll and Gaggiotti 2006) to identify population structure determinants using a Bayesian approach. The F ST values for each grid cell are calculated and the effect of environmental factors versus genetic drift on genetic divergence was evaluated using a generalized linear model for the grid cells (described above).…”
Section: Determinants Of Genetic Structurementioning
confidence: 99%
“…We used the software GESTE 2.0 (Foll and Gaggiotti 2006) to identify population structure determinants using a Bayesian approach. The F ST values for each grid cell are calculated and the effect of environmental factors versus genetic drift on genetic divergence was evaluated using a generalized linear model for the grid cells (described above).…”
Section: Determinants Of Genetic Structurementioning
confidence: 99%
“…B 281: 20140949 differences in allele and genotype frequencies found between the two population types. We used the program GESTE [56] to compare eight alternative models of population differentiation. GESTE uses a Bayesian method to estimate population-specific F ST -values based on genetic data, and then relates these estimates to environmental explanatory variables using a generalized linear model framework [56].…”
Section: (B) Statistical Analysis Of Female Mate Preferencesmentioning
confidence: 99%
“…We used the program GESTE [56] to compare eight alternative models of population differentiation. GESTE uses a Bayesian method to estimate population-specific F ST -values based on genetic data, and then relates these estimates to environmental explanatory variables using a generalized linear model framework [56]. In this analysis, we used allele count data that were corrected for the presence of null alleles using the Oosterhout correction algorithm implemented in MICRO-CHECKER [52].…”
Section: (B) Statistical Analysis Of Female Mate Preferencesmentioning
confidence: 99%
“…In order to verify the null hypothesis that divergence rates are not associated with longitude, latitude or species density, we used the Bayesian approach implemented in GESTE 2.0 software (Foll and Gaggiotti 2006). Briefly, the method uses the specific prior distribution for F i making the parameter to be a linear function of explanatory variables (e.g.…”
Section: Patterns Of Genetic Divergence Genetic Variation and Inbreementioning
confidence: 99%