Literature DB >> 25316036

Comparative proteomic analysis revealing the complex network associated with waterlogging stress in maize (Zea mays L.) seedling root cells.

Feng Yu1, Xuesong Han, Cunjuan Geng, Yanxin Zhao, Zuxin Zhang, Fazhan Qiu.   

Abstract

Soil waterlogging is one of the major abiotic stresses affecting maize grain yields. To understand the molecular mechanisms underlying waterlogging tolerance in maize, the iTRAQ LC-MS/MS technique was employed to map the proteomes of seedling root cells of the A3237 (tolerant inbred) and A3239 (sensitive inbred) lines under control and waterlogging conditions. Among the 3318 proteins identified, 211 were differentially abundant proteins (DAPs), of which 81 were specific to A3237 and 57 were specific to A3239. These DAPs were categorized into 11 groups that were closely related to the plant stress response, including metabolism, energy, transport, and disease/defense. In the waterlogged A3237 root cells, NADP-malic enzyme, glutamate decarboxylase, coproporphyrinogen III oxidase, GSH S-transferase, GSH dehydrogenase, and xyloglucan endotransglycosylase 6 were specifically accumulated to manage energy consumption, maintain pH levels, and minimize oxidative damage. The evaluations of five specific physiological parameters (alcohol dehydrogenase activity and GSH, malondialdehyde, adenosine 5'-triphosphate, and nicotinamide adenine dinucleotide concentrations) were in agreement with the proteomic results. Moreover, based on the proteomic assay, eight representative genes encoding DAPs were selected for validation at the transcriptional level. qRT-PCR revealed that the expression levels of these genes correlated with their observed protein abundance. These findings shed light on the complex mechanisms underlying waterlogging tolerance in maize. All MS data have been deposited into the ProteomeXchange with the identifier PXD001125 http://proteomecentral.proteomexchange.org/dataset/PXD001125.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Antioxidant; Maize; Plant proteomics; Waterlogging tolerance; iTRAQ

Mesh:

Substances:

Year:  2014        PMID: 25316036     DOI: 10.1002/pmic.201400156

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  18 in total

1.  Inheritance and quantitative trail loci mapping of adventitious root numbers in cucumber seedlings under waterlogging conditions.

Authors:  Xuewen Xu; Jing Ji; Qiang Xu; Xiaohua Qi; Xuehao Chen
Journal:  Mol Genet Genomics       Date:  2016-12-17       Impact factor: 3.291

2.  Drought tolerance and proteomics studies of transgenic wheat containing the maize C4 phosphoenolpyruvate carboxylase (PEPC) gene.

Authors:  Na Qin; Weigang Xu; Lin Hu; Yan Li; Huiwei Wang; Xueli Qi; Yuhui Fang; Xia Hua
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3.  Dissecting the genetic architecture of waterlogging stress-related traits uncovers a key waterlogging tolerance gene in maize.

Authors:  Feng Yu; Kun Liang; Zuxin Zhang; Dengxiang Du; Xuehai Zhang; Hailiang Zhao; Basir Ui Haq; Fazhan Qiu
Journal:  Theor Appl Genet       Date:  2018-07-30       Impact factor: 5.699

4.  Meta-analysis of major QTL for abiotic stress tolerance in barley and implications for barley breeding.

Authors:  Xuechen Zhang; Sergey Shabala; Anthony Koutoulis; Lana Shabala; Meixue Zhou
Journal:  Planta       Date:  2016-10-11       Impact factor: 4.116

5.  Transcriptome profiling of the floating-leaved aquatic plant Nymphoides peltata in response to flooding stress.

Authors:  Jinwei Wu; Hua-Bin Zhao; Dan Yu; Xinwei Xu
Journal:  BMC Genomics       Date:  2017-01-31       Impact factor: 3.969

6.  Melatonin Improves Waterlogging Tolerance of Malus baccata (Linn.) Borkh. Seedlings by Maintaining Aerobic Respiration, Photosynthesis and ROS Migration.

Authors:  Xiaodong Zheng; Jingzhe Zhou; Dun-Xian Tan; Na Wang; Lin Wang; Dongqian Shan; Jin Kong
Journal:  Front Plant Sci       Date:  2017-04-05       Impact factor: 5.753

7.  Differential accumulation of proteins in oil palms affected by fatal yellowing disease.

Authors:  Sidney Vasconcelos do Nascimento; Marcelo Murad Magalhães; Roberto Lisboa Cunha; Paulo Henrique de Oliveira Costa; Ronnie Cley de Oliveira Alves; Guilherme Corrêa de Oliveira; Rafael Borges da Silva Valadares
Journal:  PLoS One       Date:  2018-04-05       Impact factor: 3.240

8.  Transcriptomic Analysis of Gibberellin- and Paclobutrazol-Treated Rice Seedlings under Submergence.

Authors:  Jing Xiang; Hui Wu; Yuping Zhang; Yikai Zhang; Yifeng Wang; Zhiyong Li; Haiyan Lin; Huizhe Chen; Jian Zhang; Defeng Zhu
Journal:  Int J Mol Sci       Date:  2017-10-24       Impact factor: 5.923

Review 9.  Biological Networks Underlying Abiotic Stress Tolerance in Temperate Crops--A Proteomic Perspective.

Authors:  Klára Kosová; Pavel Vítámvás; Milan Oldřich Urban; Miroslav Klíma; Amitava Roy; Ilja Tom Prášil
Journal:  Int J Mol Sci       Date:  2015-09-01       Impact factor: 5.923

10.  Comparative Proteomic Analysis Provides Insight into the Key Proteins Involved in Cucumber (Cucumis sativus L.) Adventitious Root Emergence under Waterlogging Stress.

Authors:  Xuewen Xu; Jing Ji; Xiaotian Ma; Qiang Xu; Xiaohua Qi; Xuehao Chen
Journal:  Front Plant Sci       Date:  2016-10-13       Impact factor: 6.627

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