Literature DB >> 23808807

Label-free quantitative proteomic analysis of abscisic acid effect in early-stage soybean under flooding.

Setsuko Komatsu1, Chao Han, Yohei Nanjo, Most Altaf-Un-Nahar, Kun Wang, Dongli He, Pingfang Yang.   

Abstract

Flooding is a serious problem for soybean cultivation because it markedly reduces growth. To investigate the role of phytohormones in soybean under flooding stress, gel-free proteomic technique was used. When 2-day-old soybeans were flooded, the content of abscisic acid (ABA) did not decrease in the root, though its content decreased in untreated plant. When ABA was added during flooding treatment, survival ratio was improved compared with that of soybeans flooded without ABA. When 2-day-old soybeans were flooded with ABA, the abundance of proteins related to cell organization, vesicle transport and glycolysis decreased compared with those in root of soybeans flooded without ABA. Furthermore, the nuclear proteins were analyzed to identify the transcriptional regulation. The abundance of 34 nuclear proteins such as histone deacetylase and U2 small nuclear ribonucleoprotein increased by ABA supplementation under flooding; however, 35 nuclear proteins such as importin alpha, chromatin remodeling factor, zinc finger protein, transducin, and cell division 5 protein decreased. Of them, the mRNA expression levels of cell division cycle 5 protein, C2H2 zinc finger protein SERRATE, CCCH type zinc finger family protein, and transducin were significantly down-regulated under the ABA treatment. These results suggest that ABA might be involved in the enhancement of flooding tolerance of soybean through the control of energy conservation via glycolytic system and the regulation on zinc finger proteins, cell division cycle 5 protein and transducin.

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Year:  2013        PMID: 23808807     DOI: 10.1021/pr4001898

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


  32 in total

1.  Proteins involved in biophoton emission and flooding-stress responses in soybean under light and dark conditions.

Authors:  Abu Hena Mostafa Kamal; Setsuko Komatsu
Journal:  Mol Biol Rep       Date:  2016-01-11       Impact factor: 2.316

2.  Simultaneous Improvement in the Precision, Accuracy, and Robustness of Label-free Proteome Quantification by Optimizing Data Manipulation Chains.

Authors:  Jing Tang; Jianbo Fu; Yunxia Wang; Yongchao Luo; Qingxia Yang; Bo Li; Gao Tu; Jiajun Hong; Xuejiao Cui; Yuzong Chen; Lixia Yao; Weiwei Xue; Feng Zhu
Journal:  Mol Cell Proteomics       Date:  2019-05-16       Impact factor: 5.911

3.  Transcriptomic analysis reveals the flooding tolerant mechanism in flooding tolerant line and abscisic acid treated soybean.

Authors:  Xiaojian Yin; Susumu Hiraga; Makita Hajika; Minoru Nishimura; Setsuko Komatsu
Journal:  Plant Mol Biol       Date:  2016-12-23       Impact factor: 4.076

4.  Prioritization and Evaluation of Flooding Tolerance Genes in Soybean [Glycine max (L.) Merr.].

Authors:  Mu-Chien Lai; Zheng-Yuan Lai; Li-Hsin Jhan; Ya-Syuan Lai; Chung-Feng Kao
Journal:  Front Genet       Date:  2021-01-27       Impact factor: 4.599

5.  Metabolic profiles of flooding-tolerant mechanism in early-stage soybean responding to initial stress.

Authors:  Xin Wang; Wei Zhu; Akiko Hashiguchi; Minoru Nishimura; Jingkui Tian; Setsuko Komatsu
Journal:  Plant Mol Biol       Date:  2017-07-21       Impact factor: 4.076

6.  Morphological, Biochemical, and Proteomic Analyses to Understand the Promotive Effects of Plant-Derived Smoke Solution on Wheat Growth under Flooding Stress.

Authors:  Setsuko Komatsu; Hisateru Yamaguchi; Keisuke Hitachi; Kunihiro Tsuchida; Shafiq Ur Rehman; Toshihisa Ohno
Journal:  Plants (Basel)       Date:  2022-06-04

Review 7.  Insights to proteomics and metabolomics metal chelation in food crops.

Authors:  Osikemekha Anthony Anani; Inobeme Abel; John Ovie Olomukoro; Ikenna Benedict Onyeachu
Journal:  J Proteins Proteom       Date:  2022-06-20

8.  ANPELA: analysis and performance assessment of the label-free quantification workflow for metaproteomic studies.

Authors:  Jing Tang; Jianbo Fu; Yunxia Wang; Bo Li; Yinghong Li; Qingxia Yang; Xuejiao Cui; Jiajun Hong; Xiaofeng Li; Yuzong Chen; Weiwei Xue; Feng Zhu
Journal:  Brief Bioinform       Date:  2020-03-23       Impact factor: 11.622

9.  Proteome Changes Reveal the Protective Roles of Exogenous Citric Acid in Alleviating Cu Toxicity in Brassica napus L.

Authors:  Young-Hwan Ju; Swapan Kumar Roy; Aritra Roy Choudhury; Soo-Jeong Kwon; Ju-Young Choi; Md Atikur Rahman; Tomoyuki Katsube-Tanaka; Tatsuhiko Shiraiwa; Moon-Soon Lee; Kun Cho; Sun-Hee Woo
Journal:  Int J Mol Sci       Date:  2021-05-30       Impact factor: 5.923

10.  ABA Biosynthesis and Signaling Cascades Under Hypoxia Stress.

Authors:  Qichao Wang; Lei Wang; Umashankar Chandrasekaran; Xiaofeng Luo; Chuan Zheng; Kai Shu
Journal:  Front Plant Sci       Date:  2021-06-24       Impact factor: 5.753

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