BackgroundCommon 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.ResultsUsing 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.ConclusionsFor 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.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-017-3805-4) contains supplementary material, which is available to authorized users.

The gene diversity or expected heterozygosity (H) 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 H 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 H 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.

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ABSTRACT. 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. Thirtytwo 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 1964-1978 (2014) Molecular characterization of cultivated common bean genetic diversity for the groups of cultivars and genitors was 0.605 and 0.660, respectively, with no genetic differentiation (F ST ) 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 (F ST = 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.

Researchers have made great advances into the development and application of genomic approaches for common beans, creating opportunities to driving more real and applicable strategies for sustainable management of the genetic resource towards plant breeding. This work provides useful polymorphic single-nucleotide polymorphisms (SNPs) for high-throughput common bean genotyping developed by RAD (restriction site-associated DNA) sequencing. The RAD tags were generated from DNA pooled from 12 common bean genotypes, including breeding lines of different gene pools and market classes. The aligned sequences identified 23,748 putative RAD-SNPs, of which 3357 were adequate for genotyping; 1032 RAD-SNPs with the highest ADT (assay design tool) score are presented in this article. The RAD-SNPs were structurally annotated in different coding (47.00 %) and non-coding (53.00 %) sequence components of genes. A subset of 384 RAD-SNPs with broad genome distribution was used to genotype a diverse panel of 95 common bean germplasms and revealed a successful amplification rate of 96.6 %, showing 73 % of polymorphic SNPs within the Andean group and 83 % in the Mesoamerican group. A slightly increased He (0.161, n = 21) value was estimated for the Andean gene pool, compared to the Mesoamerican group (0.156, n = 74). For the linkage disequilibrium (LD) analysis, from a group of 580 SNPs (289 RAD-SNPs and 291 BARC-SNPs) genotyped for the same set of genotypes, 70.2 % were in LD, decreasing to 0.10 %in the Andean group and 0.77 % in the Mesoamerican group. Haplotype patterns spanning 310 Mb of the genome (60 %) were characterized in samples from different origins. However, the haplotype frameworks were under-represented for the Andean (7.85 %) and Mesoamerican (5.55 %) gene pools separately. In conclusion, RAD sequencing allowed the discovery of hundreds of useful SNPs for broad genetic analysis of common bean germplasm. From now, this approach provides an excellent panel of molecular tools for whole genome analysis, allowing integrating and better exploring the common bean breeding practices.

Gossypium mustelinum is a wild cotton relative found only in the semiarid region of Bahia state in Brazil, and changes caused by humans in the natural habitat of this species have endangered the existence of several natural populations. Information about the occurrence and genetic composition of these populations is necessary to design effective conservation measures. The aim of this study was to characterize the in situ maintenance mode and assess the genetic diversity of G. mustelinum populations in the basin of the De Contas River. A sample of 205 G. mustelinum specimens was collected from the margins of the Jacaré, Riacho Quixaba, Riacho Serra Azul, and Riacho Riachão rivers and genotyped using 13 SSR primer pairs. In general, all G. mustelinum populations exhibit inadequate in situ maintenance, predominantly due to the deforestation of riparian vegetation and herbivory. The observed total genetic diversity of G. mustelinum was significant (H E = 0.489), highly structured (F ST = 0.534), and organized in homozygous genotypes (F IS = 0.873). The high observed inbreeding level is consistent with the predominance of self-fertilization and geitonogamy (t m = 0.234). In addition, the pattern of genetic structure tended to form groups that coincided with the collection sites, i.e., first clustering within subpopulations, then within populations, and finally within the closest populations. Thus, the observed genetic diversity is likely to be rapidly lost, and conservation measures should therefore be undertaken.

The present study was conducted in five Gossypium mustelinum populations that were phenotyped and genotyped to quantify their resistance to the major diseases that affect cultivated cotton (G. hirsutum) in Brazil. Four G. mustelinum populations, in addition to genotypes of G. hirsutum and G. barbadense (resistant or susceptible controls), were phenotyped for resistance to cotton blue disease, angular leaf spot, common mosaic and ramulose. Artificial inoculation of cotton plants with causative agents of cotton blue disease, angular leaf spot and ramulose, as well as those naturally infested with common mosaic virus, showed that all G. mustelinum accessions were susceptible to every disease studied. Four microsatellite markers linked to disease resistance genes for cotton blue disease, angular leaf spot and root-knot nematodes (Meloidogyne spp.) in G. hirsutum were used for genotyping of the five populations. The markers amplified different alleles from those associated with resistance genes in cultivated cotton, revealing polymorphisms different from reported cases of G. hirsutum resistance. The susceptibility to all diseases studied may represent a phytosanitary risk for the in situ conservation of natural G. mustelinum populations.

O objetivo deste trabalho foi selecionar coeficientes de similaridade para serem aplicados a conjuntos de genótipos de algodoeiro com baixa diversidade genética. Analisou-se um conjunto de 65 linhagens e 4 cultivares de algodão, com marcadores de RAPD e SSR, e estimou-se a similaridade genética de acordo com sete coeficientes de similaridade: Coincidência Simples, Rogers & Tanimoto, Ochiai, Hamman, Jaccard, Dice e Russel & Rao. A adequação dos coeficientes ao conjunto de genótipos foi verificada por correlação entre as matrizes de distância, índice de consenso entre os dendrogramas e otimização de Tocher. As análises mostraram que o coeficiente de Russel e Rao foi divergente em relação aos demais e seu uso não é recomendável. Entre os parâmetros usados para avaliar a qualidade de informação de cada coeficiente, apenas o índice de consenso estabeleceu diferenças e os classificou em dois grupos: aquele em que a ausência simultânea é considerada e aquele em que ela é desconsiderada. Considerando-se a presença de apenas dois alelos microssatélites por loco e os maiores índices de consenso, os coeficientes de Coincidência Simples, Hamman e Rogers & Tanimoto devem ser preferidos, quando em conjuntos de genótipos de algodoeiro melhorados e com baixa diversidade.