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    Genetic basis of maize resistance to multiple insect pests: integrated genome-wide comparative mapping and candidate gene prioritization

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    Authors
    Badji, Arfang
    Kwemoi, Daniel Bomet
    Machida, Lewis
    Okii, Dennis
    Mwila, Natasha
    Agbahoungba, Symphorien
    Kumi, Frank
    Ibanda, Angele
    Bararyenya, Astere
    Solemanegy, Marta
    Odong , Thomas
    Wasswa, Peter
    Otim, Michael
    Asea, Godfrey
    Ochwo-Ssemakula, Mildred
    Talwana, Herbert A.L.
    Kyamanywa, Samuel
    Rubaihayo, Patrick
    Date Issued
    2020-12
    Date Online
    2020-06
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    ISI journal
    Accessibility
    Open Access
    Usage rights
    CC-BY-4.0
    Metadata
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    Citation
    Badji, A.; Kwemoi, D.; Bomet; Machida, L.; Okii, D.; Mwila, N.; Agbahoungba, S.; Kumi, F.; Ibanda, A.; Bararyenya, A.; Solemanegy, M.; Odong , T.; Wasswa, P.; Otim, M.; Asea, G.; Ochwo-Ssemakula, M.; Talwana, H.; Kyamanywa, S.; Rubaihayo, P. (2020) Genetic basis of maize resistance to multiple insect pests: integrated genome-wide comparative mapping and candidate gene prioritization. Genes 11(6) p. 689 ISSN: 2073-4425
    Permanent link to cite or share this item: https://hdl.handle.net/10568/110812
    DOI: https://doi.org/10.3390/genes11060689
    Abstract/Description
    Several species of herbivores feed on maize in field and storage setups, making the development of multiple insect resistance a critical breeding target. In this study, an association mapping panel of 341 tropical maize lines was evaluated in three field environments for resistance to fall armyworm (FAW), whilst bulked grains were subjected to a maize weevil (MW) bioassay and genotyped with Diversity Array Technology’s single nucleotide polymorphisms (SNPs) markers. A multi-locus genome-wide association study (GWAS) revealed 62 quantitative trait nucleotides (QTNs) associated with FAW and MW resistance traits on all 10 maize chromosomes, of which, 47 and 31 were discovered at stringent Bonferroni genome-wide significance levels of 0.05 and 0.01, respectively, and located within or close to multiple insect resistance genomic regions (MIRGRs) concerning FAW, SB, and MW. Sixteen QTNs influenced multiple traits, of which, six were associated with resistance to both FAWandMW, suggesting a pleiotropic genetic control. Functional prioritization of candidate genes (CGs) located within 10–30 kb of the QTNs revealed 64 putative GWAS-based CGs (GbCGs) showing evidence of involvement in plant defense mechanisms. Only one GbCG was associated with each of the five of the six combined resistance QTNs, thus reinforcing the pleiotropy hypothesis. In addition, through in silico co-functional network inferences, an additional 107 network-based CGs (NbCGs), biologically connected to the 64 GbCGs, and di erentially expressed under biotic or abiotic stress, were revealed within MIRGRs. The provided multiple insect resistance physical map should contribute to the development of combined insect resistance in maize.
    CGIAR Author ORCID iDs
    Lewis Machidahttps://orcid.org/0000-0002-0012-3997
    Other CGIAR Affiliations
    Maize
    AGROVOC Keywords
    pest insects; genomes; pest resistance; control methods; iinsectos dañinos; genomas; resistencia a las plagas
    Subjects
    AGRICULTURE;
    Organizations Affiliated to the Authors
    Makerere University; National Crops Resources Research Institute, Uganda; Bioversity International; Université d'Abomey-Calavi; University of Cape Coast
    Investors/sponsors
    Carnegie Corporation of New York
    Collections
    • Alliance Bioversity CIAT Journal Articles [1099]
    • Bioversity Journal Articles [1060]
    • CRP MAIZE outputs [274]

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