Literature DB >> 22037232

Analysis of proteomic changes in roots of soybean seedlings during recovery after flooding.

Afshin Salavati1, Amana Khatoon, Yohei Nanjo, Setsuko Komatsu.   

Abstract

A proteomic approach was used to identify proteins involved in post-flooding recovery in soybean roots. Two-day-old soybean seedlings were flooded with water for up to 3 days. After the flooding treatment, seedlings were grown until 7 days after sowing and root proteins were then extracted and separated using two-dimensional polyacrylamide gel electrophoresis (2-DE). Comparative analysis of 2-D gels of control and 3 day flooding-experienced soybean root samples revealed 70 differentially expressed protein spots, from which 80 proteins were identified. Many of the differentially expressed proteins are involved in protein destination/storage and metabolic processes. Clustering analysis based on the expression profiles of the 70 differentially expressed protein spots revealed that 3 days of flooding causes significant changes in protein expression, even during post-flooding recovery. Three days of flooding resulted in downregulation of ion transport-related proteins and upregulation of proteins involved in cytoskeletal reorganization, cell expansion, and programmed cell death. Furthermore, 7 proteins involved in cell wall modification and S-adenosylmethionine synthesis were identified in roots from seedlings recovering from 1 day of flooding. These results suggest that alteration of cell structure through changes in cell wall metabolism and cytoskeletal organization may be involved in post-flooding recovery processes in soybean seedlings.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22037232     DOI: 10.1016/j.jprot.2011.10.002

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


  13 in total

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Authors:  Jun Qin; Jianan Zhang; Duan Liu; Changcheng Yin; Fengmin Wang; Pengyin Chen; Hao Chen; Jinbing Ma; Bo Zhang; Jin Xu; Mengchen Zhang
Journal:  Mol Genet Genomics       Date:  2016-04-05       Impact factor: 3.291

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Authors:  Hyacinthe Le Gall; Florian Philippe; Jean-Marc Domon; Françoise Gillet; Jérôme Pelloux; Catherine Rayon
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Review 3.  Potentiality of Soybean Proteomics in Untying the Mechanism of Flood and Drought Stress Tolerance.

Authors:  Zahed Hossain; Setsuko Komatsu
Journal:  Proteomes       Date:  2014-03-07

4.  An Integrated Approach of Proteomics and Computational Genetic Modification Effectiveness Analysis to Uncover the Mechanisms of Flood Tolerance in Soybeans.

Authors:  Xin Wang; Katsumi Sakata; Setsuko Komatsu
Journal:  Int J Mol Sci       Date:  2018-04-26       Impact factor: 5.923

5.  Proteomic insights into intra- and intercellular plant-bacteria symbiotic association during root nodule formation.

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Journal:  Front Plant Sci       Date:  2013-02-25       Impact factor: 5.753

6.  Proteomic analysis of elite soybean Jidou17 and its parents using iTRAQ-based quantitative approaches.

Authors:  Jun Qin; Feng Gu; Duan Liu; Changcheng Yin; Shuangjin Zhao; Hao Chen; Jianan Zhang; Chunyan Yang; Xu Zhan; Mengchen Zhang
Journal:  Proteome Sci       Date:  2013-03-26       Impact factor: 2.480

Review 7.  Silicon era of carbon-based life: application of genomics and bioinformatics in crop stress research.

Authors:  Man-Wah Li; Xinpeng Qi; Meng Ni; Hon-Ming Lam
Journal:  Int J Mol Sci       Date:  2013-05-29       Impact factor: 5.923

Review 8.  Abiotic stress responses in plant roots: a proteomics perspective.

Authors:  Dipanjana Ghosh; Jian Xu
Journal:  Front Plant Sci       Date:  2014-01-24       Impact factor: 5.753

9.  Differential proteomic analysis of grapevine leaves by iTRAQ reveals responses to heat stress and subsequent recovery.

Authors:  Guo-Tian Liu; Ling Ma; Wei Duan; Bai-Chen Wang; Ji-Hu Li; Hong-Guo Xu; Xue-Qing Yan; Bo-Fang Yan; Shao-Hua Li; Li-Jun Wang
Journal:  BMC Plant Biol       Date:  2014-04-28       Impact factor: 4.215

Review 10.  Proteomics and Metabolomics: Two Emerging Areas for Legume Improvement.

Authors:  Abirami Ramalingam; Himabindu Kudapa; Lekha T Pazhamala; Wolfram Weckwerth; Rajeev K Varshney
Journal:  Front Plant Sci       Date:  2015-12-24       Impact factor: 5.753

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