Evidence map›Paper›PMID 39792861›Full record

ArticlePloS one2025

Genome-wide association mapping of bruchid resistance loci in soybean.

Clever Mukuze, Ulemu M Msiska, Afang Badji, Tonny Obua, Sharon V Kweyu, Selma N Nghituwamhata, Evalyne C Rono, Mcebisi Maphosa, Faizo Kasule, Phinehas Tukamuhabwa

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Clever MukuzeDepartment of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0003-4345-5120
Ulemu M MsiskaDepartment of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
Afang BadjiDepartment of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
Tonny ObuaDepartment of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
Sharon V KweyuDepartment of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
Selma N NghituwamhataDepartment of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
Evalyne C RonoDepartment of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
Mcebisi MaphosaDepartment of Crop and Soil Science, Faculty of Agricultural Sciences, Lupane State University, Lupane, Zimbabwe.
Faizo KasuleNational Agricultural Research Organization (NARO), National Semi-Arid Resources Research Institute, Soroti, Uganda.ORCID 0000-0002-3130-1258
Phinehas TukamuhabwaDepartment of Agricultural Production, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean is a globally important industrial, food, and cash crop. Despite its importance in present and future economies, its production is severely hampered by bruchids (Callosobruchus chinensis), a destructive storage insect pest, causing considerable yield losses. Therefore, the identification of genomic regions and candidate genes associated with bruchid resistance in soybean is crucial as it helps breeders to develop new soybean varieties with improved resistance and quality. In this study, 6 multi-locus methods of the mrMLM model for genome-wide association study were used to dissect the genetic architecture of bruchid resistance on 4traits: percentage adult bruchid emergence (PBE), percentage weight loss (PWL), median development period (MDP), and Dobie susceptibility index (DSI) on 100 diverse soybean genotypes, genotyped with 14,469 single-nucleotide polymorphism (SNP) markers. Using the best linear unbiased predictors (BLUPs), 13 quantitative trait nucleotides (QTNs) were identified by the mrMLM model, of which rs16_14976250 was associated with more than 1 bruchid resistance traits. As a result, the identified QTNs linked with resistance traits can be employed in marker-assisted breeding for the accurate and rapid screening of soybean genotypes for resistance to bruchids. Moreover, a gene search on the Phytozome soybean reference genome identified 27 potential candidate genes located within a window of 478.45 kb upstream and downstream of the most reliable QTNs. These candidate genes exhibit molecular and biological functionalities associated with various soybean resistance mechanisms and, therefore, could be incorporated into the farmers' preferred soybean varieties that are susceptible to bruchids.

Indexed as

Genome-Wide Association StudyGlycine maxPolymorphism, Single NucleotideQuantitative Trait LociAnimalsChromosome MappingColeopteraDisease ResistanceGenotypePlant Diseases

Identifiers

PMID39792861
PMCPMC11723639

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