Proteomics for abiotic stresses in legumes: present status and future directions

蛋白质组学 非生物胁迫 生物 蛋白质组 生物技术 机制(生物学) 适应(眼睛) 非生物成分 鉴定(生物学) 代谢组学 分子育种 计算生物学 植物 生物化学 基因 生物信息学 生态学 哲学 认识论 神经科学
作者
Nelofer Jan,Asif M Rather,Riffat John,Palak Chaturvedi,Arindam Ghatak,Wolfram Weckwerth,Sajad Majeed Zargar,Rakeeb Ahmad Mir,Mohd Anwar Khan,Reyazul Rouf Mir
出处
期刊:Critical Reviews in Biotechnology [Taylor & Francis]
卷期号:43 (2): 171-190 被引量:61
标识
DOI:10.1080/07388551.2021.2025033
摘要

Legumes are the most important crop plants in agriculture, contributing 27% of the world's primary food production. However, productivity and production of Legumes is reduced due to increasing environmental stress. Hence, there is a pressing need to understand the molecular mechanism involved in stress response and legumes adaptation. Proteomics provides an important molecular approach to investigate proteins involved in stress response. Both the gel-based and gel-free-based techniques have significantly contributed to understanding the proteome regulatory network in leguminous plants. In the present review, we have discussed the role of different proteomic approaches (2-DE, 2 D-DIGE, ICAT, iTRAQ, etc.) in the identification of various stress-responsive proteins in important leguminous crops, including soybean, chickpea, cowpea, pigeon pea, groundnut, and common bean under variable abiotic stresses including heat, drought, salinity, waterlogging, frost, chilling and metal toxicity. The proteomic analysis has revealed that most of the identified differentially expressed proteins in legumes are involved in photosynthesis, carbohydrate metabolism, signal transduction, protein metabolism, defense, and stress adaptation. The proteomic approaches provide insights in understanding the molecular mechanism of stress tolerance in legumes and have resulted in the identification of candidate genes used for the genetic improvement of plants against various environmental stresses. Identifying novel proteins and determining their expression under different stress conditions provide the basis for effective engineering strategies to improve stress tolerance in crop plants through marker-assisted breeding.
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