Spatial Autocorrelation Analysis of Migration and Selection
AUTOR(ES)
Sokal, R. R.
RESUMO
We test various assumptions necessary for the interpretation of spatial autocorrelation analysis of gene frequency surfaces, using simulations of Wright's isolation-by-distance model with migration or selection superimposed. Increasing neighborhood size enhances spatial autocorrelation, which is reduced again for the largest neighborhood sizes. Spatial correlograms are independent of the mean gene frequency of the surface. Migration affects surfaces and correlograms when immigrant gene frequency differentials are substantial. Multiple directions of migration are reflected in the correlograms. Selection gradients yield clinal correlograms; other selection patterns are less clearly reflected in their correlograms. Sequential migration from different directions and at different gene frequencies can be disaggregated into component migration vectors by means of principal components analysis. This encourages analysis by such methods of gene frequency surfaces in nature. The empirical results of these findings lend support to the inference structure developed earlier for spatial autocorrelation analysis.
ACESSO AO ARTIGO
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1203668Documentos Relacionados
- Spatial Autocorrelation of Genotypes under Directional Selection
- Analysis of DNA Diversity by Spatial Autocorrelation
- ANALYSIS OF SPATIAL AUTOCORRELATION OF GRAIN PRODUCTION AND AGRICULTURAL STORAGE IN PARANÁ
- A Test of Spatial Autocorrelation Analysis Using an Isolation-by-Distance Model
- Spatial Autocorrelation Analysis of the Distribution of Genotypes within Populations of Lodgepole Pine