Literature DB >> 28666670

Proteomic analysis of soybean seedling leaf under waterlogging stress in a time-dependent manner.

Bita Kazemi Oskuei1, Xiaojian Yin2, Akiko Hashiguchi2, Ali Bandehagh3, Setsuko Komatsu4.   

Abstract

Leaf is sensitive to environmental changes and exhibits specific responses to abiotic stress. To identify the response mechanism in soybean leaf under waterlogging stress, a gel-free/label-free proteomic technique combined with polyethylene glycol fractionation was used. Attenuated photosynthesis by waterlogging stress in the leaf of soybean seedlings was indicated from proteomic results. Defensive mechanisms such as reactive oxygen species (ROS) scavenging was also recognized. Cluster analysis revealed that proteins that exhibit characteristic dynamics in response to waterlogging were mainly related to photosynthesis. Among the identified photorespiration-related proteins, the protein abundance and enzyme activity of hydroxypyruvate reductase were transiently increased in control plants, but were clearly decreased in response to waterlogging stress. These results suggest that waterlogging directly impairs photosynthesis and photorespiration. Furthermore, hydroxypyruvate reductase may be a critical enzyme controlling the rate of photorespiration.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gel-free/label-free proteomics; Leaf; Soybean; Time dependency; Waterlogging

Mesh:

Substances:

Year:  2017        PMID: 28666670     DOI: 10.1016/j.bbapap.2017.06.022

Source DB:  PubMed          Journal:  Biochim Biophys Acta Proteins Proteom        ISSN: 1570-9639            Impact factor:   3.036


  3 in total

1.  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

2.  Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity.

Authors:  Xudong Zhu; Xiaopeng Li; Songtao Jiu; Kekun Zhang; Chen Wang; Jinggui Fang
Journal:  R Soc Open Sci       Date:  2018-06-27       Impact factor: 2.963

Review 3.  Review: Proteomic Techniques for the Development of Flood-Tolerant Soybean.

Authors:  Xin Wang; Setsuko Komatsu
Journal:  Int J Mol Sci       Date:  2020-10-12       Impact factor: 5.923

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.