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    Genomic regions associated with herbicide tolerance in a worldwide faba bean (Vicia faba L.) collection

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    Journal Article (2.273Mb)
    Authors
    Abou-Khater, Lynn
    Maalouf, Fouad
    Jighly, Abdulqader
    Alsamman, Alsamman
    Rubiales, Diego
    Rispail, Nicolas
    Hu, Jinguo
    Ma, Yu
    Balech, Rind
    Hamwieh, Aladdin
    Baum, Michael
    Agrawal, Shiv Kumar
    Date Issued
    2022-01
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    ISI journal
    Accessibility
    Open Access
    Usage rights
    CC-BY-4.0
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    Citation
    Lynn Abou-Khater, Fouad Maalouf, Abdulqader Jighly, Alsamman Alsamman, Diego Rubiales, Nicolas Rispail, Jinguo Hu, Yu Ma, Rind Balech, Aladdin Hamwieh, Michael Baum, Shiv Kumar Agrawal. (7/1/2022). Genomic regions associated with herbicide tolerance in a worldwide faba bean (Vicia faba L. ) collection. Scientific Reports, 158.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/125863
    DOI: https://doi.org/10.1038/s41598-021-03861-0
    Abstract/Description
    Weeds represent one of the major constraints for faba bean crop. The identification of molecular markers associated with key genes imparting tolerance to herbicides can facilitate and fasten the efficient and effective development of herbicide tolerant cultivars. We phenotyped 140 faba bean genotypes in three open field experiments at two locations in Lebanon and Morocco against three herbicide treatments (T1 metribuzin 250 g ai/ha; T2 imazethapyr 75 g ai/ha; T3 untreated) and one in greenhouse where T1 and T3 were applied. The same set was genotyped using genotyping by sequencing (GBS) which yield 10,794 high quality single nucleotide polymorphisms (SNPs). ADMIXTURE software was used to infer the population structure which revealed two ancestral subpopulations. To identify SNPs associated with phenological and yield related traits under herbicide treatments, Single-trait (ST) and Multi-trait (MT) Genome Wide Association Studies (GWAS) were fitted using GEMMA software, showing 10 and 14 highly significant associations, respectively. Genomic sequences containing herbicide tolerance associated SNPs were aligned against the NCBI database using BLASTX tool using default parameters to annotate candidate genes underlying the causal variants. SNPs from acidic endochitinase, LRR receptor-like serine/threonine-protein kinase RCH1, probable serine/threonine-protein kinase NAK, malate dehydrogenase, photosystem I core protein PsaA and MYB-related protein P-like were significantly associated with herbicide tolerance traits.
    CGIAR Author ORCID iDs
    Maalouf, Fouadhttps://orcid.org/0000-0002-7642-7102
    Hamwieh, Aladdinhttps://orcid.org/0000-0001-6060-5560
    Baum, Michaelhttps://orcid.org/0000-0002-8248-6088
    Agrawal, Shiv Kumarhttps://orcid.org/0000-0001-8407-3562
    CGIAR Action Areas
    Resilient Agrifood Systems; Genetic Innovation
    CGIAR Impact Areas
    Nutrition, health and food security
    CGIAR Initiatives
    Accelerated Breeding; Fragility to Resilience in Central and West Asia and North Africa
    Other CGIAR Affiliations
    Grain Legumes
    Contributes to SDGs
    SDG 2 - Zero hunger
    AGROVOC Keywords
    biotechnology; genetics; vicia faba l.; zero hunger; nutrition, health and food security
    Organizations Affiliated to the Authors
    International Center for Agricultural Research in the Dry Areas; Agricultural Genetic Engineering Research Institute; Washington State University; United States Department of Agriculture, Agricultural Research Service; The Spanish National Research Centre, The Institute of Sustainable Agriculture; La Trobe University, Centre for AgriBioscience; Mohammed VI Polytechnic University
    Investors/sponsors
    Arab Fund for Economic and Social Development; CGIAR Research Program on Grain Legumes; CGIAR Trust Fund
    Collections
    • CGIAR Initiative on Accelerated Breeding [478]
    • CGIAR Initiative on Fragility to Resilience in Central and West Asia and North Africa [162]

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