Kang Seogchan, Kim Ki-Tae, Choi Jaeyoung, Kim Hyun, Cheong Kyeongchae, Bandara Ananda, Lee Yong-Hwan
Department of Plant Pathology and Environmental Microbiology, Pennsylvania State University, University Park, PA 16802, U.S.A.
Department of Agricultural Life Science, Sunchon National University, Suncheon 57922, Korea.
Phytopathology. 2022 May;112(5):981-995. doi: 10.1094/PHYTO-10-21-0418-RVW. Epub 2022 Apr 6.
Genomics' impact on crop production continuously expands. The number of sequenced plant and microbial species and strains representing diverse populations of individual species rapidly increases thanks to the advent of next-generation sequencing technologies. Their genomic blueprints revealed candidate genes involved in various functions and processes crucial for crop health and helped in understanding how the sequenced organisms have evolved at the genome level. Functional genomics quickly translates these blueprints into a detailed mechanistic understanding of how such functions and processes work and are regulated; this understanding guides and empowers efforts to protect crops from diverse biotic and abiotic threats. Metagenome analyses help identify candidate microbes crucial for crop health and uncover how microbial communities associated with crop production respond to environmental conditions and cultural practices, presenting opportunities to enhance crop health by judiciously configuring microbial communities. Efficient conversion of disparate types of massive genomics data into actionable knowledge requires a robust informatics infrastructure supporting data preservation, analysis, and sharing. This review starts with an overview of how genomics came about and has quickly transformed life science. We illuminate how genomics and informatics can be applied to investigate various crop health-related problems using selected studies. We end the review by noting why community empowerment via crowdsourcing is crucial to harnessing genomics to protect global food and nutrition security without continuously expanding the environmental footprint of crop production.
基因组学对作物生产的影响在不断扩大。由于新一代测序技术的出现,代表单个物种不同群体的已测序植物和微生物物种及菌株的数量迅速增加。它们的基因组蓝图揭示了参与对作物健康至关重要的各种功能和过程的候选基因,并有助于了解已测序生物在基因组水平上是如何进化的。功能基因组学迅速将这些蓝图转化为对这些功能和过程如何运作及受到调控的详细机制理解;这种理解指导并推动了保护作物免受各种生物和非生物威胁的努力。宏基因组分析有助于识别对作物健康至关重要的候选微生物,并揭示与作物生产相关的微生物群落如何响应环境条件和栽培措施,从而为通过明智地配置微生物群落来增强作物健康提供了机会。将不同类型的海量基因组数据高效转化为可操作的知识需要一个强大的信息学基础设施来支持数据保存、分析和共享。本综述首先概述了基因组学是如何产生并迅速改变生命科学的。我们通过选定的研究阐明基因组学和信息学如何应用于调查各种与作物健康相关的问题。我们在综述结尾指出,为何通过众包实现社区赋权对于利用基因组学保护全球粮食和营养安全、同时不持续扩大作物生产的环境足迹至关重要。