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Association mapping in multiple yam species (Dioscorea spp.) of quantitative trait loci for yield-related traits

dc.contributor.authorAdejumobi, I.I.
dc.contributor.authorAgre, A.P.
dc.contributor.authorAdewumi, A.S.
dc.contributor.authorShonde, T.E.
dc.contributor.authorCipriano, I.M.
dc.contributor.authorKomoy, J.
dc.contributor.authorAdheka, J.G.
dc.contributor.authorOnautshu, O.D.
dc.date.accessioned2023-09-25T09:44:16Z
dc.date.available2023-09-25T09:44:16Z
dc.date.issued2023-07-11
dc.identifier.citationAdejumobi, I.I., Agre, A.P., Adewumi, A.S., Shonde, T.E., Cipriano, I.M., Komoy, J., ... & Onautshu, O.D. (2023). Association mapping in multiple yam species (Dioscorea spp.) of quantitative trait loci for yield-related traits. BMC Plant Biology, 23: 357, 1-16.
dc.identifier.issn1471-2229
dc.identifier.urihttps://hdl.handle.net/20.500.12478/8260
dc.description.abstractBackground Yam (Dioscorea spp.) is multiple species with various ploidy levels and is considered as a cash crop in many producing areas. Phenotypic selection in yam improvement is a lengthy procedure. However, marker-assisted selection has proven to reduce the breeding cycle with enhanced selection efficiency. Methodology In this study, a panel of 182 yam accessions distributed across six yam species were assessed for diversity and marker-traits association study using SNP markers generated from Diversity Array Technology platform. Association analysis was performed using mixed linear model (K + Q) implemented in GAPIT followed by gene annotation. Results Accessions performance were significantly different (p < 0.001) across all the traits with high broad-sense heritability (H2). Phenotypic and genotypic correlations showed positive relationships between yield and vigor but negative for yield and yam mosaic disease. Population structure revealed k = 6 as optimal clusters-based species. A total of 15 SNP markers distributed across nine chromosomes loci were associated with yield, vigor, mosaic, and anthracnose disease resistance. Gene annotation for the significant SNP loci identified some putative genes associated with primary metabolism, pest, and disease resistance for resistance to anthracnose, maintenance of NADPH in biosynthetic reaction especially those involving nitro-oxidative stress for resistance to mosaic virus, and seed development, photosynthesis, nutrition use efficiency, stress tolerance, vegetative and reproductive development for tuber yield. Conclusion This study provides valuable insights into the genetic control of plant vigor, anthracnose, mosaic virus resistance, and tuber yield in yam and thus, opens an avenue for developing additional genomic resources for markers-assisted selection focusing on multiple yam species.
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.format.extent1-16
dc.language.isoen
dc.subjectYams
dc.subjectDemocratic Republic of the Congo
dc.subjectGenome-Wide Association Studies
dc.subjectLinear Models
dc.subjectPopulation Structure
dc.subjectGenes
dc.subjectQuantitative Trait Loci
dc.titleAssociation mapping in multiple yam species (Dioscorea spp.) of quantitative trait loci for yield-related traits
dc.typeJournal Article
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationUniversity of Kisangani
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionCentral Africa
cg.coverage.countryDemocratic Republic of the Congo
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.bibtexciteidADEJUMOBI:2023
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectFood Security
cg.iitasubjectGenetic Improvement
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Genetic Resources
cg.iitasubjectPlant Production
cg.iitasubjectYam
cg.journalBMC Plant Biology
cg.notesOpen Access Journal; Published online: 11 Jul 2023
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://doi.org/10.1186/s12870-023-04350-4
cg.iitaauthor.identifierPaterne AGRE: 0000-0003-1231-2530
cg.iitaauthor.identifierAdeyinka Adewumi: 0000-0002-5981-1882
cg.futureupdate.requiredNo
cg.identifier.issue357
cg.identifier.volume23


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