Some of the major impacts of climate change are expected in regions where drought stress is already an issue. Grain legumes are generally drought susceptible. However, tepary bean and its wild relatives within Phaseolus acutifolius or P. parvifolius are from arid areas between Mexico and the United States. Therefore, we hypothesize that these bean accessions have diversity signals indicative of adaptation to drought at key candidate genes such as: Asr2, Dreb2B, and ERECTA. By sequencing alleles of these genes and comparing to estimates of drought tolerance indices from climate data for the collection site of geo-referenced, tepary bean accessions, we determined the genotype x environmental association (GEA) of each gene. Diversity analysis found that cultivated and wild P. acutifolius were intermingled with var. tenuifolius and P. parvifolius, signifying that allele diversity was ample in the wild and cultivated clade over a broad sense (sensu lato) evaluation. Genes Dreb2B and ERECTA harbored signatures of directional selection, represented by six SNPs correlated with the environmental drought indices. This suggests that wild tepary bean is a reservoir of novel alleles at genes for drought tolerance, as expected for a species that originated in arid environments. Our study corroborated that candidate gene approach was effective for marker validation across a broad genetic base of wild tepary accessions.

Objectives: The overall goal was to analyze genetic diversity in cultivars of Musa acuminata (Colla) and M. balbisiana (Colla), commonly grown in farms from Caldas department. Scope: Characterization of the genetic variability, at the molecular and morphological level of cultivars of M. acuminata and M. balbisiana, found in farms from Caldas farmers using morphological descriptors and fluorescent microsatellites. Methodology: Phenotyping evaluations comprised 57 morphological characters following the descriptors proposed by IPGRI for the Musa genus, and for genotyping evaluations, nine fluorescent microsatellites (Simple Sequence Repeats-SSR) were used to allow the precise identification of alleles. Additionally, cluster analyses were carried out independently for both morphological and genotypic characterizations under Principal Component Analysis (PCA) and Bootstrapping methods respectively. Main results: Positive and negative highly significant correlations were found for the morphological descriptors, where traits such as presence/ absence of male bud was the rule, as well as the diameter and perimeter of this trait, plus the diameter and perimeter of the peduncle, number of fruits, pseudostem height and fruit length contributed considerably to the variability among the cultivars allowing the discrimination of three main groups in the cluster analyzes. From the molecular perspective a total of 72 polymorphic alleles were obtained, with an average genetic diversity of 0,79, polymorphic information content (PIC) of 0,77 and heterozygosity of 0,48, showed a moderate degree of genetic differentiation (FST = 0,061) among Musa cultivars, generating three main sub-clusters based on their genetic dissimilarity. Conclusions: The identification of certain morphological traits showed to be suitable for the discrimination of Musa cultivars evaluated here. On the other hand, molecular characterization allowed to establish the genetic relationships among groups, also fluorescent SSR were highly informative and accurate, in such a way that can be considered suitable for characterizations in Musa varieties.