文献类型： 外文期刊
作者： Chen, Ke 1 ; Yang, Haona 2 ; Wu, Di 2 ; Peng, Yajun 2 ; Lian, Lei 6 ; Bai, Lianyang 1 ; Wang, Lifeng 1 ;
作者机构： 1.Hunan Acad Agr Sci, Hunan Rice Res Inst, Key Lab Indica Rice Genet & Breeding Middle & Lowe, Minist Agr & Rural Affairs, Changsha 410125, Peoples R China
2.Hunan Acad Agr Sci, State Key Lab Hybrid Rice, Changsha 410125, Peoples R China
3.Hunan Univ, Coll Biol, Longping Branch, Changsha 410125, Peoples R China
4.Huangpu Res Inst Longping Agr Sci & Technol, Guangzhou 510715, Peoples R China
5.Hunan Acad Agr Sci, Hunan Agr Biotechnol Res Inst, Hunan Weed Sci Key Lab, Changsha 410125, Peoples R China
6.Qingdao Kingagroot Cpds Co Ltd, Qingdao 266000, Peoples R China
关键词： weeds; multi-omics; weed management; genomics; RNA-seq
期刊名称：PLANT COMMUNICATIONS （ 影响因子：10.5； 五年影响因子：10.5 ）
ISSN： 2590-3462
年卷期： 2024 年 5 卷 4 期
页码：
收录情况： SCI
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 control. 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 species, weed classification, and the underlying genetic and molecular bases of important weedy traits such as crop-weed interactions, adaptability to different environments, photoperiodic flowering 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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