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A review of techniques for spatial modeling in geographical, conservation and landscape genetics Genet. Mol. Biol.
Diniz-Filho,José Alexandre Felizola; Nabout,João Carlos; Telles,Mariana Pires de Campos; Soares,Thannya Nascimento; Rangel,Thiago Fernando L.V.B..
Most evolutionary processes occur in a spatial context and several spatial analysis techniques have been employed in an exploratory context. However, the existence of autocorrelation can also perturb significance tests when data is analyzed using standard correlation and regression techniques on modeling genetic data as a function of explanatory variables. In this case, more complex models incorporating the effects of autocorrelation must be used. Here we review those models and compared their relative performances in a simple simulation, in which spatial patterns in allele frequencies were generated by a balance between random variation within populations and spatially-structured gene flow. Notwithstanding the somewhat idiosyncratic behavior of the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Autocorrelation; Geographical genetics; Isolation-by-distance; Landscape genetics; Spatial regression.
Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572009000200001
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Mantel test in population genetics Genet. Mol. Biol.
Diniz-Filho,José Alexandre F.; Soares,Thannya N.; Lima,Jacqueline S.; Dobrovolski,Ricardo; Landeiro,Victor Lemes; Telles,Mariana Pires de Campos; Rangel,Thiago F.; Bini,Luis Mauricio.
The comparison of genetic divergence or genetic distances, estimated by pairwise F ST and related statistics, with geographical distances by Mantel test is one of the most popular approaches to evaluate spatial processes driving population structure. There have been, however, recent criticisms and discussions on the statistical performance of the Mantel test. Simultaneously, alternative frameworks for data analyses are being proposed. Here, we review the Mantel test and its variations, including Mantel correlograms and partial correlations and regressions. For illustrative purposes, we studied spatial genetic divergence among 25 populations of Dipteryx alata ("Baru"), a tree species endemic to the Cerrado, the Brazilian savannas, based on 8 microsatellite...
Tipo: Info:eu-repo/semantics/article Palavras-chave: "Baru" tree; Genetic distances; Geographical genetics; Partial correlation; Partial regression.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572013000400002
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