CGSpaceA Repository of Agricultural Research Outputs
    View Item 
    •   CGSpace Home
    • International Institute of Tropical Agriculture (IITA)
    • IITA Journal Articles
    • View Item
       
    • CGSpace Home
    • International Institute of Tropical Agriculture (IITA)
    • IITA Journal Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Identification of a fall armyworm (Spodoptera frugiperda)-specific gene and development of a rapid and sensitive loop-mediated isothermal amplification assay

    Thumbnail
    View/Open
    Journal Article (1.445Mb)
    Authors
    Osabutey, A.F.
    Seo, B.Y.
    Kim, A.Y.
    Ha, T.A.T.
    Jung, J.
    Goergen, G.
    Owusu, E.O.
    Lee, G.S.
    Koh, Y.H.
    Date
    2022
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    ISI journal
    Accessibility
    Open Access
    Usage rights
    CC-BY-4.0
    Metadata
    Show full item record
    Share
    
    Citation
    Osabutey, A.F., Seo, B.Y., Kim, A.Y., Ha, T.A.T., Jung, J., Goergen, G., ... & Koh, Y.H. (2022). Identification of a fall armyworm (Spodoptera frugiperda)-specific gene and development of a rapid and sensitive loop-mediated isothermal amplification assay. Scientific Reports, 12(1), 1-10.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/118216
    DOI: https://dx.doi.org/10.1038/s41598-022-04871-2
    Abstract/Description
    The fall armyworm [FAW, Spodoptera frugiperda (J E Smith)], a moth native to America, has spread throughout the world since it was first discovered in Africa in 2016. The FAW is a polyphagous migratory pest that can travel over long distances using seasonal winds or typhoons because of its excellent flying ability, causing serious damage to many crops. For effective FAW control, accurate species identification is essential at the beginning of the invasion. In this study, the FAW-specific gene Sf00067 was discovered by performing bioinformatics to develop a fast and accurate tool for the species-specific diagnosis of this pest. An Sf00067 loop-mediated isothermal amplification (LAMP) assay was developed, and optimal conditions were established. The Sf00067 6 primer LAMP (Sf6p-LAMP) assay established in this study was able to diagnose various genotype-based strains of FAW captured in Korea and FAWs collected from Benin, Africa. Our FAW diagnostic protocol can be completed within 30 min, from the process of extracting genomic DNA from an egg or a 1st instar larva to species determination.
    CGIAR Author ORCID iDs
    Georg Goergenhttps://orcid.org/0000-0003-4496-0495
    Notes
    Open Access Journal; Published online: 18 Jan 2022
    CGIAR Impact Areas
    Nutrition, health and food security
    Contributes to SDGs
    SDG 2 - Zero hunger
    AGROVOC Keywords
    spodoptera frugiperda; genes; dna; pests of plants; maize; pest control
    Subjects
    AGRONOMY; FOOD SECURITY; GENETIC IMPROVEMENT; MAIZE; PESTS OF PLANTS; PLANT GENETIC RESOURCES; PLANT PRODUCTION
    Countries
    Benin; Korea, DPR; Korea, Republic of
    Regions
    Africa; South-eastern Asia; Western Africa
    Organizations Affiliated to the Authors
    Hallym University Graduate School, Republic of Korea; National Institute of Agricultural Science, Rural Development Administration, Republic of Korea; National Institute of Crop Science, Republic of Korea; International Institute of Tropical Agriculture; University of Ghana
    Collections
    • IITA Journal Articles [4735]

    AboutPrivacy StatementSend Feedback
     

    My Account

    LoginRegister

    Browse

    All of CGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subjectThis CollectionBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subject

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    AboutPrivacy StatementSend Feedback