GWAS Of Pod Morphological and Color Characters in Common Bean

Abstract

BackgroundCommon bean (Phaseolus vulgaris L.) is an important legume species which can be consumed as immature pods and dry seeds after re-hydration and cooking. Many genes and QTL, and epistatic interactions among them, condition pod morphological traits. However, not all them have been mapped or validated nor candidate genes proposed. We sought to investigate the genomic regions conditioning pod morphological and color characters through GWAS.ResultsSingle and multi-locus genome wide association analysis was used to investigate pod traits for a set of 301 bean lines of the Spanish Diversity Panel (SDP). The SDP was genotyped with 32,812 SNPs obtained from Genotyping by Sequencing. The panel was grown in two seasons and phenotypic data were recorded for 17 fresh pods traits grouped in four pod characters: pod length, pod cross-section, pod color, and number of seeds per pod. In all, 23 QTL for pod length, 6 for cross-section, 18 for pod color, 6 for number of seeds per pod and 9 associated to two or more pod characters were detected. Most QTL were located in the telomeric region of chromosomes Pv01, Pv02, Pv04, Pv08, Pv09 and Pv10. Eighteen detected QTL co-localized with previously reported QTL. Twenty-one candidate genes involving developmental processes were detected underlying 11 QTL for pod morphological characters, four of them homologous to A. thaliana genes FIS2, SPL10, TTG2 and AML4 affecting silique size. Eight candidate genes involved in pigment synthesis, were found underlying five QTL for pod color.ConclusionsGWAS for pod morphological and color characters in the bean Spanish Diversity Panel revealed 62 QTL, 18 co-localized with previously reported QTL, and 16 QTL were underlain by 25 candidate genes. Overall new QTL identified and existing QTL validated contribute to a better understanding of the complex inheritance of pod size and color traits in common bean.

Unravelling Rubber Tree Growth by Integrating GWAS and Biological Network-Based Approaches

“…Different from establishing a genomic window surrounding these markers and performing comparative alignments against plant databases (Chanroj et al, 2017; García-Fernández et al, 2021), we used an assembled transcriptome for the association of the snpsGWAS. This step was performed mainly because of the absence of available data for several neglected species in public databases (Schaefer et al, 2018), such as H. brasiliensis .…”