Literature DB >> 30731210

Comparative proteomics and metabolomics of JAZ7-mediated drought tolerance in Arabidopsis.

Li Meng1, Tong Zhang2, Sisi Geng2, Peter B Scott2, Haiying Li3, Sixue Chen4.   

Abstract

Jasmonates (JAs) are important phytohormones that regulate a wide range of plant processes, including growth, development and stress responses. Jasmonate ZIM-domain (JAZ) proteins are transcriptional repressors in JA signaling. Overexpression of JAZ7 was found to confer drought tolerance in Arabidopsis thaliana (A. thaliana), but the molecular mechanisms are not known. Using Tandem Mass Tag (TMT) quantitative proteomics and targeted metabolomics approaches, we found that 394 unique proteins and 96 metabolites were differentially expressed under drought and/or among the three genotypes (wild type (WT), JAZ7 knock out (KO) and JAZ7 overexpression (OE)). Unique and differential proteins/metabolites after each comparison were analyzed to gauge their potential functions in drought tolerance. The proteins and metabolites are enriched in JA and abscisic acid (ABA) signaling pathways, response to stress, photosynthesis, redox and metabolic process. BIOLOGICAL SIGNIFICANCE: Drought stress is a global challenge that affects agricultural production. JAZ7 overexpression led to drought tolerance in A. thaliana through modulating photosynthesis, redox, and amino acids, phytohormones and defense metabolites. The results have provided important insights into the JAZ7 regulated molecular networks of drought tolerance. The knowledge may facilitate effort to enhance crop drought tolerance in the era of climate change.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Arabidopsis thaliana; Drought; JAZ7; Metabolites; Molecular networks; Quantitative proteomics

Mesh:

Substances:

Year:  2019        PMID: 30731210     DOI: 10.1016/j.jprot.2019.02.001

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  12 in total

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Journal:  Int J Genomics       Date:  2019-10-01       Impact factor: 2.326

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