Understanding genetic basis of adaptation is of key importance, especially to insure food supply for present and future populations. Cultivated plants and livestock animals are subjected to high selection pressure due to climate change, increasing food nee ...
We introduce a new method to detect signatures of natural selection in the genome based on the application of spatial analysis, with the contribution of Geographical Information Systems, environmental variables, molecular data, and multiple univariate logi ...
In habitat modelling, an initial step is to define geoenvironmental variables to be included in a predictive model. According to Guisan and Zimmermann (2000), the selection of predictors can be made either arbitrarily, automatically by stepwise procedures, ...
Even if many research projects in population genetics and conservation biology collect a quantity of spatially located biological samples, and despite its present predominance in Science and its direct application to concerns of public society (health, foo ...
Detecting adaptive loci in the genome is essential as it gives the possibility to understand what proportion of a genome or which genes are under the pressure of natural selection. In this paper, we used a Spatial Analysis Method (SAM) recently developed t ...