Literature DB >> 27544640

A proteomic analysis of salt stress response in seedlings of two African rice cultivars.

Rebecca Njeri Damaris1, Ming Li2, Yanli Liu3, Xi Chen4, Hunja Murage5, Pingfang Yang6.   

Abstract

Salt stress is one of the key abiotic stresses threatening future agricultural production and natural ecosystems. This study investigates the salt stress response of two rice seedlings, which were screened from 28 Kenya rice cultivars. A proteomic analysis was carried out and Mapman bin codes employed in protein function categorization. Proteins in the redox, stress, and signaling categories were identified, and whose expression differed between the salt tolerant and the salt sensitive samples employed in the present study. 104 and 102 root proteins were observed as significantly altered during salt stress in the tolerant and sensitive samples, respectively and 13 proteins were commonly expressed. Among the 13 proteins, ketol-acid reductoisomerase protein was upregulated in both 1 and 3days of salt treatment in the tolerant sample, while it was down-regulated in both 1 and 3days of salt treatment in the sensitive sample. Actin-7, tubulin alpha, V-type proton ATPase, SOD (Cu-Zn), SOD (Mn), and pyruvate decarboxylase were among the observed salt-induced proteins. In general, this study improves our understanding about salt stress response mechanisms in rice.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Comparative proteomics; Rice seedlings; Roots; Salt stress

Mesh:

Substances:

Year:  2016        PMID: 27544640     DOI: 10.1016/j.bbapap.2016.08.011

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  8 in total

Review 1.  Integrated Multi-Omics Perspective to Strengthen the Understanding of Salt Tolerance in Rice.

Authors:  Liping Dai; Peiyuan Li; Qing Li; Yujia Leng; Dali Zeng; Qian Qian
Journal:  Int J Mol Sci       Date:  2022-05-07       Impact factor: 6.208

Review 2.  Impact of Post-Translational Modifications of Crop Proteins under Abiotic Stress.

Authors:  Akiko Hashiguchi; Setsuko Komatsu
Journal:  Proteomes       Date:  2016-12-21

3.  iTRAQ-Based Comparative Proteomic Analysis Provides Insights into Molecular Mechanisms of Salt Tolerance in Sugar Beet (Beta vulgaris L.).

Authors:  Guo-Qiang Wu; Jin-Long Wang; Rui-Jun Feng; Shan-Jia Li; Chun-Mei Wang
Journal:  Int J Mol Sci       Date:  2018-12-04       Impact factor: 5.923

4.  Comparison between the Transcriptomes of 'KDML105' Rice and a Salt-Tolerant Chromosome Segment Substitution Line.

Authors:  Nopphawitchayaphong Khrueasan; Panita Chutimanukul; Kitiporn Plaimas; Teerapong Buaboocha; Meechai Siangliw; Theerayut Toojinda; Luca Comai; Supachitra Chadchawan
Journal:  Genes (Basel)       Date:  2019-09-24       Impact factor: 4.096

5.  Identification of Early Salt-Stress-Responsive Proteins in In Vitro Prunus Cultured Excised Roots.

Authors:  Emma Sevilla; Pilar Andreu; María F Fillat; M Luisa Peleato; Juan A Marín; Arancha Arbeloa
Journal:  Plants (Basel)       Date:  2022-08-12

6.  Comparative Analysis of Proteomics and Transcriptomics during Fertility Transition in a Two-Line Hybrid Rice Line Wuxiang S.

Authors:  Hao Chen; Jing Jin; Hongyuan Zhang; Ying Wang; Qian Li; Yu Zou; Xingguo Huang; Baojin Zhou; Ruo Zhou; Yi Ding
Journal:  Int J Mol Sci       Date:  2019-09-13       Impact factor: 5.923

7.  Mapping the 'early salinity response' triggered proteome adaptation in contrasting rice genotypes using iTRAQ approach.

Authors:  Nita Lakra; Charanpreet Kaur; Sneh Lata Singla-Pareek; Ashwani Pareek
Journal:  Rice (N Y)       Date:  2019-01-30       Impact factor: 4.783

8.  Comparative Proteomic Analysis of Nodulated and Non-Nodulated Casuarina glauca Sieb. ex Spreng. Grown under Salinity Conditions Using Sequential Window Acquisition of All Theoretical Mass Spectra (SWATH-MS).

Authors:  Inês Graça; Vera M Mendes; Isabel Marques; Nuno Duro; Mário da Costa; José C Ramalho; Katharina Pawlowski; Bruno Manadas; Cândido P Pinto Ricardo; Ana I Ribeiro-Barros
Journal:  Int J Mol Sci       Date:  2019-12-20       Impact factor: 5.923

  8 in total

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