BALZARINI MONICA GRACIELA
Artículos
Título:
Non-Parametric smoothing of multivariate genetic distances in the analysis of spatial population structure at fine scale
Autor/es:
BRUNO, C.; MACCHIAVELLI, R.; BALZARINI, M.
Revista:
THEORETICAL AND APPLIED GENETICS
Referencias:
Lugar: Berlín; Año: 2008 vol. 117 p. 435 - 435
Resumen:
pecies dispersal studies provide valuable information in biological research. Restricted dispersal may give rise to a non-random distribution of genotypes in space. Detection of spatial genetic structure may therefore provide valuable insight into dispersal. Spatial structure has been treated via autocorrelation analysis with several univariate statistics for which results could dependent on sampling designs. New geostatistical approaches (variogram-based analysis) have been proposed to overcome this problem. However, modelling parametric variograms could be difficult in practice. We introduce a non-parametric variogram-based method for autocorrelation analysis between DNA samples that have been genotyped by means of multilocus-multiallele molecular markers. The method addresses two important aspects of fine-scale spatial genetic analyses: the identification of a non-random distribution of genotypes in space, and the estimation of the magnitude of any non-random structure. The method