Literature DB >> 19714819

Proteome analysis of early-stage soybean seedlings under flooding stress.

Akiko Hashiguchi1, Katsumi Sakata, Setsuko Komatsu.   

Abstract

Proteomic analyses of soybean seedlings responding to flooding were conducted to identify proteins involved in such response. Soybean was germinated for 48 h and then subjected to flooding stress for 6-48 h. Proteomic analysis of hypocotyl and root was used in a time-dependent manner, and altered proteins were identified using soybean protein data file constructed for this research. Under flooding stress, 35 proteins were up-regulated, whereas 16 proteins were down-regulated at a 24-h time point. Changes in energy generation was recognized because several glycolytic enzymes were up-regulated. General stress response was also shown to occur as various reactive oxygen species scavengers were up-regulated. Other identified proteins with diverse functional categories suggest that flooding stress includes not only hypoxic stress, but also other stresses such as weak light, disease, and water stresses. In addition, proteins with unknown functions were shown to be positioned as hubs which activate other proteins in system response networks by protein-protein interaction analysis, suggesting that this type of interaction analysis is useful for screening of important factors in plant response to environmental stresses.

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Year:  2009        PMID: 19714819     DOI: 10.1021/pr801051m

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  13 in total

1.  Characterization of a novel flooding stress-responsive alcohol dehydrogenase expressed in soybean roots.

Authors:  Setsuko Komatsu; Thibaut Deschamps; Deschamps Thibaut; Susumu Hiraga; Mikio Kato; Mitsuru Chiba; Akiko Hashiguchi; Makoto Tougou; Satoshi Shimamura; Hiroshi Yasue
Journal:  Plant Mol Biol       Date:  2011-08-03       Impact factor: 4.076

2.  Transcriptional responses to flooding stress in roots including hypocotyl of soybean seedlings.

Authors:  Yohei Nanjo; Kyonoshin Maruyama; Hiroshi Yasue; Kazuko Yamaguchi-Shinozaki; Kazuo Shinozaki; Setsuko Komatsu
Journal:  Plant Mol Biol       Date:  2011-06-08       Impact factor: 4.076

3.  Analysis of response mechanism in soybean under low oxygen and flooding stresses using gel-base proteomics technique.

Authors:  Amana Khatoon; Shafiq Rehman; Myeong-Won Oh; Sun-Hee Woo; Setsuko Komatsu
Journal:  Mol Biol Rep       Date:  2012-10-07       Impact factor: 2.316

Review 4.  Functional genomics of soybean for improvement of productivity in adverse conditions.

Authors:  Lam-Son Phan Tran; Keiichi Mochida
Journal:  Funct Integr Genomics       Date:  2010-06-27       Impact factor: 3.410

5.  Integrated Transcriptomic and Proteomic Analyses Uncover the Regulatory Mechanisms of Myricaria laxiflora Under Flooding Stress.

Authors:  Linbao Li; Guiyun Huang; Weibo Xiang; Haofei Zhu; Haibo Zhang; Jun Zhang; Zehong Ding; Jihong Liu; Di Wu
Journal:  Front Plant Sci       Date:  2022-06-10       Impact factor: 6.627

6.  Proteomic and biochemical analyses of the cotyledon and root of flooding-stressed soybean plants.

Authors:  Setsuko Komatsu; Takahiro Makino; Hiroshi Yasue
Journal:  PLoS One       Date:  2013-06-14       Impact factor: 3.240

7.  Quantitative proteomics reveals the effect of protein glycosylation in soybean root under flooding stress.

Authors:  Ghazala Mustafa; Setsuko Komatsu
Journal:  Front Plant Sci       Date:  2014-11-18       Impact factor: 5.753

Review 8.  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

9.  Organ-specific proteome analysis for identification of abiotic stress response mechanism in crop.

Authors:  Setsuko Komatsu; Zahed Hossain
Journal:  Front Plant Sci       Date:  2013-04-03       Impact factor: 5.753

10.  Characterization of the XTH Gene Family: New Insight to the Roles in Soybean Flooding Tolerance.

Authors:  Li Song; Babu Valliyodan; Silvas Prince; Jinrong Wan; Henry T Nguyen
Journal:  Int J Mol Sci       Date:  2018-09-11       Impact factor: 5.923

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