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A statistical procedure to assess the significance level of barriers to gene flow

Journal of genetics and Genomics 2009年第11期36卷 685-693页

作者： Sébastien Rioux Paquette Franois-Joseph Lapointe Allan Wilson Centre for Molecular Ecology & School of Biological Sciences Victoria University of Wellington Département de Sciences Biologiques Université de Montréal

Although several methods are available to study the extent of isolation by distance （IBD） among natural populations, comparatively few exist to detect the presence of sharp genetic breaks in genetic distance datasets. In recent years, Monmonier＇s maximum-difference algorithm has been increasingly used by population geneticists. However, this method does not provide means to measure the statistical significance of such barriers, nor to determine their relative contribution to population differentiation with respect to IBD. Here, we propose an approach to assess the significance of genetic boundaries. The method is based on the calculation of a multiple regression from distance matrices, where binary matrices represent putative genetic barriers to test, in addition to geographic and genetic distances. Simulation results suggest that this method reliably detects the presence of genetic barriers, even in situations where IBD is also significant. We also illustrate the methodology by analyzing previously published datasets. Conclusions about the importance of genetic barriers can be misleading if one does not take into consideration their relative contribution to the overall genetic structure of species.

关键词： genetic barriers genetic distances isolation by distance multiple regression on distance matrices partial regression coefficients

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Mapping the genetic Diversity of Castanea sativa: Exploiting Spatial Analysis for Biogeography and Conservation Studies

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Journal of Geographic Information System 2016年第2期8卷 248-259页

作者： Francesca Chiocchini Claudia Mattioni Paola Pollegioni Ilaria Lusini Maria Angela Martín Marcello Cherubini Marco Lauteri Fiorella Villani C.N.R. Institute of Agro-environmental and Forest Biology Terni Italy Departamento de Ingeniería del Medio Agronómico y Forestal Avda. Virgen del Puerto 2 Centro Universitario de Plasencia Universidad de Extremadura Caceres Spain

The current distribution of forest tree species is a result of natural or human mediated historical and contemporary processes. Knowledge of the spatial distribution of the diversity and divergence of populations is crucial for managing and conserving genetic resources in forest tree species. By combining tools from population genetics, landscape ecology and spatial statistics, landscape genetics thus represents a powerful method for evaluating the geographic patterns of genetic resources at the population level. In this study, we explore the possibility of combining genetic diversity data, spatial statistic tools and GIS technologies to map the genetic divergence and diversity of 31 Castanea sativa populations collected in Spain, Italy, Greece, and Turkey. The IDW technique was used to interpolate the diversity values and divergence indices as expected hetereozygosity (He), allelic richness (Rs), private allelic richness (PRs), and membership values (Q) of each population to different clusters. genetic diversity maps and a synthetic map of the spatial genetic structure of European chestnut populations were produced. Spatial coincidences between landscape elements and statistically significant genetic discontinuities between populations were investigated. Evidence is provided of the significance of cartographic outputs produced in the study and on their usefulness in managing genetic resources.

关键词： Landscape genetics Microsatellites genetic Structure Spatial Interpolation genetic barriers

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