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农业生物技术研究中的代谢组学与化学信息学:揭示用于作物改良的新代谢物的互补性探索手段

Metabolomics and Chemoinformatics in Agricultural Biotechnology Research: Complementary Probes in Unravelling New Metabolites for Crop Improvement.

作者信息

Mashabela Manamele Dannies, Masamba Priscilla, Kappo Abidemi Paul

机构信息

Department of Biochemistry, Faculty of Science, University of Johannesburg, Auckland Park Kingsway Campus, P.O. Box 524, Johannesburg 2006, South Africa.

出版信息

Biology (Basel). 2022 Aug 1;11(8):1156. doi: 10.3390/biology11081156.

Abstract

The United Nations (UN) estimate that the global population will reach 10 billion people by 2050. These projections have placed the agroeconomic industry under immense pressure to meet the growing demand for food and maintain global food security. However, factors associated with climate variability and the emergence of virulent plant pathogens and pests pose a considerable threat to meeting these demands. Advanced crop improvement strategies are required to circumvent the deleterious effects of biotic and abiotic stress and improve yields. Metabolomics is an emerging field in the omics pipeline and systems biology concerned with the quantitative and qualitative analysis of metabolites from a biological specimen under specified conditions. In the past few decades, metabolomics techniques have been extensively used to decipher and describe the metabolic networks associated with plant growth and development and the response and adaptation to biotic and abiotic stress. In recent years, metabolomics technologies, particularly plant metabolomics, have expanded to screening metabolic biomarkers for enhanced performance in yield and stress tolerance for metabolomics-assisted breeding. This review explores the recent advances in the application of metabolomics in agricultural biotechnology for biomarker discovery and the identification of new metabolites for crop improvement. We describe the basic plant metabolomics workflow, the essential analytical techniques, and the power of these combined analytical techniques with chemometrics and chemoinformatics tools. Furthermore, there are mentions of integrated omics systems for metabolomics-assisted breeding and of current applications.

摘要

联合国估计,到2050年全球人口将达到100亿。这些预测给农业经济产业带来了巨大压力,迫使其满足不断增长的粮食需求并维持全球粮食安全。然而,与气候变异性以及毒性植物病原体和害虫的出现相关的因素,对满足这些需求构成了相当大的威胁。需要先进的作物改良策略来规避生物和非生物胁迫的有害影响并提高产量。代谢组学是组学流程和系统生物学中一个新兴的领域,涉及在特定条件下对生物样本中的代谢物进行定量和定性分析。在过去几十年中,代谢组学技术已被广泛用于解读和描述与植物生长发育以及对生物和非生物胁迫的响应与适应相关的代谢网络。近年来,代谢组学技术,尤其是植物代谢组学,已扩展到筛选代谢生物标志物,以提高代谢组学辅助育种中的产量和胁迫耐受性表现。本综述探讨了代谢组学在农业生物技术中应用于生物标志物发现以及鉴定用于作物改良的新代谢物方面的最新进展。我们描述了基本的植物代谢组学工作流程、基本分析技术以及这些综合分析技术与化学计量学和化学信息学工具的作用。此外,还提到了用于代谢组学辅助育种的综合组学系统以及当前的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d519/9405339/42069bb82188/biology-11-01156-g001.jpg

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