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dc.contributor.authorKoura, A.A.
dc.contributor.authorKena, A.W.
dc.contributor.authorAnnor, B.
dc.contributor.authorAdejumobi, I.I.
dc.contributor.authorSayadi Maazou, A.R.
dc.contributor.authorAwuku, F.J.
dc.contributor.authorAttamah, P.
dc.contributor.authorBoukar, O.
dc.contributor.authorAkromah, R.
dc.date.accessioned2024-09-13T09:40:24Z
dc.date.available2024-09-13T09:40:24Z
dc.date.issued2024-09
dc.identifier.citationKoura, A.A., Kena, A.W., Annor, B., Adejumobi, I.I., Sayadi Maazou, A.R., Awuku, F.J., ... & Akromah, R. (2024). Genome-wide association studies reveals new candidate genes associated with resistance to striga gesneroides in cowpea [Vigna unguiculata (L.) Walp.] Accessions from sub-Saharan Africa. Ecological Genetics and Genomics, 32: 100267, 1-8.
dc.identifier.issn2405-9854
dc.identifier.urihttps://hdl.handle.net/20.500.12478/8536
dc.description.abstractParasitic plant Striga gesneroides reduces cowpea productivity in sub-Saharan Africa, leading to substantial yield losses. This weed is the major reason for land abandonment by many farmers. While various methods have been proposed for managing Striga invasion and parasitism, host-plant resistance remains the most effective and affordable option for small-scale farmers in the sub-region. This study aims to expedite the improvement of Striga resistance breeding through marker-assisted selection by identifying genomic regions and candidate genes associated with Striga resistance indicator traits using association mapping. A panel of 188 cowpea accessions assembled from five gene banks in West Africa were phenotyped for two years under Striga-infested and non-infested research conditions. These accessions were equally genotyped using the medium-density genotyping of the Diversity Arrays Technology sequencing (DArTseq) platform to obtain marker information. High broad-sense heritability estimates were observed for Striga resistance status (SRS), number of Striga per plot (NSPlot), and Pod weight (PW) while low heritability estimates were observed for fodder weight (FW) and Plant Aspect (PASP). Twenty-four SNP markers were identified across SRS, NSPlot, FW, PASP, and PW under Striga-infested conditions. Under non-infested conditions, 17 SNPs were identified across FW, PASP, and PW. Gene annotation of the significant SNPs revealed candidate genes such as ubiquitin ligase activity, cell wall reinforcement protein, and pathogenesis-related protein. These genes function in plant growth regulation, development, and defense mechanisms. This study offers valuable insights for marker selection, validation, and deployment in cowpea improvement for Striga resistance in SSA.
dc.description.sponsorshipRoyal Norwegian Embassy in Niger
dc.format.extent1-8
dc.language.isoen
dc.subjectCowpeas
dc.subjectWeeds
dc.subjectMarker-Assisted Selection
dc.subjectGenes
dc.subjectSingle Nucleotide Polymorphisms
dc.subjectStriga Hermonthica
dc.titleGenome-wide association studies reveals new candidate genes associated with resistance to Striga gesneroides in Cowpea [Vigna unguiculata (L.) Walp.] accessions from sub-Saharan Africa
dc.typeJournal Article
cg.contributor.crpGrain Legumes
cg.contributor.affiliationInstitut National de la Recherche Agronomique du Niger
cg.contributor.affiliationKwame Nkrumah of Science and Technology
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationCentre de Coopération Internationale en Recherche Agronomique pour le Développement
cg.contributor.affiliationUniversite de Montpellier
cg.contributor.affiliationCouncil for Scientific and Industrial Research, Ghana
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNiger
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.bibtexciteidKOURA:2024a
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectCowpea
cg.iitasubjectFood Security
cg.iitasubjectGrain Legumes
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.journalEcological Genetics and Genomics
cg.accessibilitystatusLimited Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCopyrighted; all rights reserved
cg.targetaudienceScientists
cg.identifier.doihttps://doi.org/10.1016/j.egg.2024.100267
cg.iitaauthor.identifierOusmane Boukar: 0000-0003-0234-4264
cg.futureupdate.requiredNo
cg.identifier.issue100267
cg.identifier.volume32
cg.contributor.acknowledgementsThe first author acknowledges the Financial Support from the royal Norwegian Embassy in Niger for “Climate-Smart Agricultural Technologies for improved Rural Livelihoods and Food Security” in Niger (Grant NER-17-0005), who provide the scholarship and research grant that fully supported the present study as part of Ph.D. degree program. He also acknowledges his colleagues from INRAN-Niger and the staff of CSIR/SARI/Manga and Crop and Soil, Department of Kwame Nkrumah University of Science and Technology, Ghana who assisted during the germplasm collection, field and lab work.


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