Common bean is a legume of social and nutritional importance as a food crop, cultivated worldwide especially in developing countries, accounting for an important source of income for small farmers. The availability of the complete sequences of the two common bean genomes has dramatically accelerated and has enabled new experimental strategies to be applied for genetic research. DArTseq has been widely used as a method of SNP genotyping allowing comprehensive genome coverage with genetic applications in common bean breeding programs. Using this technology, 6286 SNPs (1 SNP/86.5 Kbp) were genotyped in genic (43.3%) and non-genic regions (56.7%). Genetic subdivision associated to the common bean gene pools (K = 2) and related to grain types (K = 3 and K = 5) were reported. A total of 83% and 91% of all SNPs were polymorphic within the Andean and Mesoamerican gene pools, respectively, and 26% were able to differentiate the gene pools. Genetic diversity analysis revealed an average H E of 0.442 for the whole collection, 0.102 for Andean and 0.168 for Mesoamerican gene pools (F ST = 0.747 between gene pools), 0.440 for the group of cultivars and lines, and 0.448 for the group of landrace accessions (F ST = 0.002 between cultivar/line and landrace groups). The SNP effects were predicted with predominance of impact on non-coding regions (77.8%). SNPs under selection were identified within gene pools comparing landrace and cultivar/line germplasm groups (Andean: 18; Mesoamerican: 69) and between the gene pools (59 SNPs), predominantly on chromosomes 1 and 9. The LD extension estimate corrected for population structure and relatedness (r2 SV) was ~ 88 kbp, while for the Andean gene pool was ~ 395 kbp, and for the Mesoamerican was ~ 130 kbp. For common bean, DArTseq provides an efficient and cost-effective strategy of generating SNPs for large-scale genome-wide studies. The DArTseq resulted in an operational panel of 560 polymorphic SNPs in linkage equilibrium, providing high genome coverage. This SNP set could be used in genotyping platforms with many applications, such as population genetics, phylogeny relation between common bean varieties and support to molecular breeding approaches.

The gene diversity or expected heterozygosity (HE) is based on the allele frequency and is often used as a measure of genetic variability of populations. Knowing the pattern of spatial distribution of HE can be useful for determining strategies of conservation and sampling of collections of individuals. In addition, it can allow one to detect genetic boundaries in a landscape. We adapted a Wombling method based on assignment tests in a circular moving window extensively sampled over the study area in order to estimate HE at points of a prediction grid. The function sHe(), package biotools, is an easy-to-use and flexible implementation in R language that accepts as input geographical and genotyping data. The package biotools is distribution-free under the GPL-2/3 license and currently available from the Comprehensive R Archive Network (CRAN) at . The R platform and all R dependencies are similarly available from CRAN.

Analysis of DNA polymorphisms allows for the genetic identification and precise discrimination of species with a narrow genetic base such as common bean. The primary objectives of the present study were to molecularly characterize commercial common bean varieties developed at various research institutions using microsatellite markers and to determine the degree of genetic diversity among the bean varieties analyzed. Fifty cultivars representing 12 grain classes and 64 genitors, i.e., accessions used to develop these cultivars, were characterized. Based on an analysis of 24 simple sequence repeats, the estimates for the average number of alleles and genetic diversity were 8.29 and 0.646, respectively. The combined probability of identity was estimated at 7.05 x 10(-17), indicating a high individual discriminatory power. Thirty-two percent of the cultivars exhibited heterogeneity for multiple loci that reflected either homozygosity for different alleles of a given locus in different individuals or heterozygosity for the locus. The average genetic diversity for the groups of cultivars and genitors was 0.605 and 0.660, respectively, with no genetic differentiation (FST) between these groups. Although similar estimates of expected heterozygosity were observed when the cultivars were grouped by release date, a greater number of private alleles was observed in the most recent cultivars. The genetic differentiation among cultivars originating from different institutions was not different from zero (FST = 0.01). The molecular profile database derived from these analyses may increase the statistical power of genetic estimates and may be incorporated into breeding programs for common bean. Furthermore, the profiles obtained for the different cultivars may be used as molecular descriptors to complement traditional descriptors used in distinctiveness, uniformity and stability tests, thereby improving the traceability of samples and their derivatives and helping to protect the intellectual property rights of breeders.