Genetic mapping for agronomic traits in a MAGIC population of common bean (Phaseolus vulgaris L.) under drought conditions

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dc.creatorDíaz, Santiago
dc.creatorAriza-Suárez, Daniel
dc.creatorIzquierdo, Paulo
dc.creatorLobaton, Juan David
dc.creatorHoz, Juan Fernando de la
dc.creatorAcevedo, Fernando
dc.creatorDuitama, Jorge
dc.creatorGuerrero, Alberto F.
dc.creatorCajiao V., César Hernando
dc.creatorMayor, Victor
dc.creatorBeebe, Stephen E.
dc.creatorRaatz, Bodo
dc.date2020-12
dc.date2020-11-25T14:13:59Z
dc.date2020-11-25T14:13:59Z
dc.date.accessioned2026-06-27T14:43:04Z
dc.descriptionBackground Common bean is an important staple crop in the tropics of Africa, Asia and the Americas. Particularly smallholder farmers rely on bean as a source for calories, protein and micronutrients. Drought is a major production constraint for common bean, a situation that will be aggravated with current climate change scenarios. In this context, new tools designed to understand the genetic basis governing the phenotypic responses to abiotic stress are required to improve transfer of desirable traits into cultivated beans. Results A multiparent advanced generation intercross (MAGIC) population of common bean was generated from eight Mesoamerican breeding lines representing the phenotypic and genotypic diversity of the CIAT Mesoamerican breeding program. This population was assessed under drought conditions in two field trials for yield, 100 seed weight, iron and zinc accumulation, phenology and pod harvest index. Transgressive segregation was observed for most of these traits. Yield was positively correlated with yield components and pod harvest index (PHI), and negative correlations were found with phenology traits and micromineral contents. Founder haplotypes in the population were identified using Genotyping by Sequencing (GBS). No major population structure was observed in the population. Whole Genome Sequencing (WGS) data from the founder lines was used to impute genotyping data for GWAS. Genetic mapping was carried out with two methods, using association mapping with GWAS, and linkage mapping with haplotype-based interval screening. Thirteen high confidence QTL were identified using both methods and several QTL hotspots were found controlling multiple traits. A major QTL hotspot located on chromosome Pv01 for phenology traits and yield was identified. Further hotspots affecting several traits were observed on chromosomes Pv03 and Pv08. A major QTL for seed Fe content was contributed by MIB778, the founder line with highest micromineral accumulation. Based on imputed WGS data, candidate genes are reported for the identified major QTL, and sequence changes were identified that could cause the phenotypic variation. Conclusions This work demonstrates the importance of this common bean MAGIC population for genetic mapping of agronomic traits, to identify trait associations for molecular breeding tool design and as a new genetic resource for the bean research community.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/110291
dc.identifier.urihttp://hdl.handle.net/123456789/86330
dc.languageen
dc.publisherSpringer
dc.rightsOpen Access
dc.sourceDiaz, S.; Ariza-Suarez, D.; Izquierdo, P.; Lobaton, J.D.; de la Hoz, J.F.; Acevedo, F.; Duitama, J.; Guerrero, A.F.; Cajiao, C.; Mayor, V.; Beebe, S.E.; Raatz, B. (2020) Genetic mapping for agronomic traits in a MAGIC population of common bean (Phaseolus vulgaris L.) under drought conditions. BMC Genomics 21: 799 20 p. ISSN: 1471-2164
dc.subjectgenotypes
dc.subjectgenomes
dc.subjectdrought
dc.subjectagronomic characters
dc.subjectquantitative trait loci
dc.subjectsequence experiments
dc.subjectgenotipos
dc.subjectgenomas
dc.subjectsequía
dc.titleGenetic mapping for agronomic traits in a MAGIC population of common bean (Phaseolus vulgaris L.) under drought conditions
dc.typeJournal Article

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