Literature DB >> 24412201

Root proteome of rice studied by iTRAQ provides integrated insight into aluminum stress tolerance mechanisms in plants.

Zhan Qi Wang1, Xiao Yan Xu2, Qiao Qiao Gong3, Chen Xie4, Wei Fan5, Jian Li Yang6, Qi Shan Lin7, Shao Jian Zheng8.   

Abstract

One of the major limitations to crop growth on acid soils is the prevalence of soluble aluminum ions (Al(3+)). Rice (Oryza sativa L.) has been reported to be highly Al tolerant; however, large-scale proteomic data of rice in response to Al(3+) are still very scanty. Here, we used an iTRAQ-based quantitative proteomics approach for comparative analysis of the expression profiles of proteins in rice roots in response to Al(3+) at an early phase. A total of 700 distinct proteins (homologous proteins grouped together) with >95% confidence were identified. Among them, 106 proteins were differentially expressed upon Al(3+) toxicity in sensitive and tolerant cultivars. Bioinformatics analysis indicated that glycolysis/gluconeogenesis was the most significantly up-regulated biochemical process in response to excess Al(3+). The mRNA levels of eight proteins mapped in the glycolysis/gluconeogenesis were further analyzed by qPCR and the expression levels of all the eight genes were higher in tolerant cultivar than in sensitive cultivar, suggesting that these compounds may promote Al tolerance by modulating the production of available energy. Although the exact roles of these putative tolerance proteins remain to be examined, our data lead to a better understanding of the Al tolerance mechanisms in rice plants through the proteomics approach. BIOLOGICAL SIGNIFICANCE: Aluminum (mainly Al(3+)) is one of the major limitations to the agricultural productivity on acid soils and causes heavy yield loss every year. Rice has been reported to be highly Al tolerant; however, the mechanisms of rice Al tolerance are still not fully understood. Here, a combined proteomics, bioinformatics and qPCR analysis revealed that Al(3+) invasion caused complex proteomic changes in rice roots involving energy, stress and defense, protein turnover, metabolism, signal transduction, transport and intracellular traffic, cell structure, cell growth/division, and transcription. Promotion of the glycolytic/gluconeogenetic pathway in roots appeared crucially important for Al tolerance. These results lead to a better understanding of the Al tolerance mechanisms in rice and help to improve plant performance on acid soils, eventually to increase the crop production.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aluminum stress; Quantitative proteomics; Rice root; Sensitive; Tolerant

Mesh:

Substances:

Year:  2014        PMID: 24412201     DOI: 10.1016/j.jprot.2013.12.023

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


  42 in total

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4.  Polyamines-induced aluminum tolerance in mung bean: A study on antioxidant defense and methylglyoxal detoxification systems.

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5.  Deciphering the major metabolic pathways associated with aluminum tolerance in popcorn roots using label-free quantitative proteomics.

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6.  Integrated transcriptomic and proteomic analyses for the characterization of parathyroid oxyphil cells in uremic patients.

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Journal:  Amino Acids       Date:  2022-03-29       Impact factor: 3.520

7.  iTRAQ-based proteomic analysis provides insights into the molecular mechanisms of rice formyl tetrahydrofolate deformylase in salt response.

Authors:  Erhui Xiong; Chen Zhang; Chenxi Ye; Yaohuang Jiang; Yanli Zhang; Fei Chen; Guojun Dong; Dali Zeng; Yanchun Yu; Limin Wu
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8.  A Formate Dehydrogenase Confers Tolerance to Aluminum and Low pH.

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9.  The root transcriptome of Achyranthes bidentata and the identification of the genes involved in the replanting benefit.

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Journal:  Plant Cell Rep       Date:  2018-01-17       Impact factor: 4.570

10.  Differential proteomic analysis reveals sequential heat stress-responsive regulatory network in radish (Raphanus sativus L.) taproot.

Authors:  Ronghua Wang; Yi Mei; Liang Xu; Xianwen Zhu; Yan Wang; Jun Guo; Liwang Liu
Journal:  Planta       Date:  2018-01-24       Impact factor: 4.116

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