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    Genome-wide mapping uncovers significant quantitative trait loci associated with yam mosaic virus infection, yield and dry matter content in White Guinea yam (Dioscorea rotundata Poir.)

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    Journal Article (268.8Kb)
    Date
    2024-10-04
    Author
    Adjei, E.A.
    Odong, T.L.
    Esuma, W.
    Bhattacharjee, R.
    Agre, A.P.
    Adebola, P.O.
    Chamba, E.
    Asfaw, A.
    Dramadri, I.
    Mbabazi, S.T.
    Edema, R.
    Ozimati, A.
    Ochwo-Ssemakula, M.
    Alicai, T.
    Type
    Journal Article
    Review Status
    Peer Review
    Target Audience
    Scientists
    Metadata
    Show full item record
    Abstract/Description
    Introduction: Yam is an important crop for food security in East and West Africa due to its high market value and customer demand. High tuber quality with yield and disease resistance are the main traits for acceptability of yam cultivars across the tropical zone. There has been limited progress in enhancing the production and quality traits of yams, despite the significant socio-economic significance of this crop. Method: To expedite the development of high-quality yam cultivars in Uganda, traits association study was conducted to identify genomic regions associated with key traits such as disease resistance, high yields, and dry matter content. The association mapping was conducted with multi-random mixed linear model (mrMLM) to compute the associations using five genetic models. Results: A total of 16 significant single nucleotide polymorphisms (SNPs) markers were identified to be associated with the traits studied. Gene identification analysis revealed the presence of key putative genes such as Vicilin-like seed storage protein At2g28490 (ARATH)and Growth-regulating factor 1 involved in a variety of functions ranging from storage and gene regulation for disease resistance. Discussion: The results obtained from this work have significant implications for the in-depth analysis of the genetic structure underlying key traits in yam. Additionally, this study emphasizes the identification of SNP variants and genes that may be utilized for genomic-informed selection in order to enhance yield and disease resistance in yams.
    https://doi.org/10.3389/fhort.2024.1365567
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/8598
    IITA Authors ORCID
    Ranjana Bhattacharjeehttps://orcid.org/0000-0002-5184-5930
    Paterne AGREhttps://orcid.org/0000-0003-1231-2530
    Patrick Adebolahttps://orcid.org/0000-0002-5155-6194
    Asrat Asfawhttps://orcid.org/0000-0002-4859-0631
    Digital Object Identifier (DOI)
    https://doi.org/10.3389/fhort.2024.1365567
    Research Themes
    Biotech and Plant Breeding
    IITA Subjects
    Plant Breeding; Plant Production; Yam
    Agrovoc Terms
    Dioscorea Rotundata; Uganda; Genes; Annotation; Mapping
    Regions
    Africa; East Africa; West Africa
    Countries
    Ghana; Nigeria; Uganda
    Hubs
    Headquarters and Western Africa Hub
    Journals
    Frontiers in Horticulture
    Collections
    • Journal and Journal Articles5286
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