On the Trail of Spatial Patterns of Genetic Variation

Abstract The accurate determination of the spatial trends on variability a species’ gene pool is essential to elucidate underlying demographic-evolutionary events, thus helping unravel microevolutionary history population under study. Herein we present new software called GenoCline, mainly addressed detect genetic clines from allele, haplotype, and genome-wide data. This program package allows identifying geographic orientation clinal variation through system iterative rotation virtual coordinate axis. Besides, GenoCline can perform complementary analyses explore potential origin observed, including autocorrelation, isolation by distance, centroid method, multidimensional scaling Sammon projection. Among advantages this ease in data entry interconnection with other programs. Genetic be entered spreadsheet table formatting (.xls), whereas imported Eigensoft format. frequencies also exported format compatible programs dealing evolutionary biology analyses. All illustrations results are saved in.svg so that there will high quality easily editable vectorial graphs available for researcher. Being implemented Java, highly portable, working different operating systems.