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作 者:Ke Chen Haona Yang Di Wu Yajun Peng Lei Lian Lianyang Bai Lifeng Wang
机构地区:[1]Key Laboratory of Indica Rice Genetics and Breeding in the Middle and Lower Reaches of Yangtze River Valley,Ministry of Agriculture and Rural Affairs,Hunan Rice Research Institute,Hunan Academy of Agricultural Sciences,Changsha 410125,China [2]State Key Laboratory of Hybrid Rice,Hunan Academy of Agricultural Sciences,Changsha 410125,China [3]Longping Branch,College of Biology,Hunan University,Changsha 410125,China [4]Huangpu Research Institute of Longping Agricultural Science and Technology,Guangzhou 510715,China [5]Hunan Weed Science Key Laboratory,Hunan Agricultural Biotechnology Research Institute,Hunan Academy of Agricultural Sciences,Changsha 410125,China [6]Qingdao Kingagroot Compounds Co.Ltd,Qingdao 266000,China
出 处:《Plant Communications》2024年第4期16-35,共20页植物通讯(英文)
基 金:supported by grants from the National Natural Science Foundation of China (no.32272564 and no.32302387);the National Key R&D Program of China (no.2023YFD1401100 and no.2021YFD1700101);the Science and Technology Innovation Program of Hunan Province (no.2022RC1017);Hunan Outstanding Youth Fund Project (no.2023JJ10025);the Training Program for Excellent Young Innovators of Changsha (kq2106079);the Hunan Agricultural Science and Technology Innovation Fund Project (2022CX01 and 2023CX02).
摘 要:Weeds pose a significant threat to crop production,resulting in substantial yield reduction.In addition,they possess robust weedy traits that enable them to survive in extreme environments and evade human con-trol.In recent years,the application of multi-omics biotechnologies has helped to reveal the molecular mechanisms underlying these weedy traits.In this review,we systematically describe diverse applications of multi-omics platforms for characterizing key aspects of weed biology,including the origins of weed spe-cies,weed classification,and the underlying genetic and molecular bases of important weedy traits such as crop–weed interactions,adaptability to different environments,photoperiodicflowering responses,and herbicide resistance.In addition,we discuss limitations to the application of multi-omics techniques in weed science,particularly compared with their extensive use in model plants and crops.In this regard,we provide a forward-looking perspective on the future application of multi-omics technologies to weed science research.These powerful tools hold great promise for comprehensively and efficiently unraveling the intricate molecular genetic mechanisms that underlie weedy traits.The resulting advances will facilitate the development of sustainable and highly effective weed management strategies,promoting greener practices in agriculture.
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