Literature DB >> 21421393

Identification of salt responsive genes using comparative microarray analysis in Upland cotton (Gossypium hirsutum L.).

Laura Rodriguez-Uribe1, Sarah M Higbie, James McD Stewart, Thea Wilkins, W Lindemann, C Sengupta-Gopalan, Jinfa Zhang.   

Abstract

Salinity negatively impacts plant growth and productivity, and little is known about salt responsive genes in cotton. In this study, an intra-specific backcross population of cotton (Gossypium hirsutum L.) was treated with 200 mM NaCl after which differentially expressed genes were identified by comparison between salt tolerant and susceptible segregant bulks using comparative microarray analysis. Microarray analysis identified 720 salt-responsive genes, of which 695 were down-regulated and only 25 were up-regulated in the salt tolerant bulk. Gene ontology of annotated genes revealed that at least some of the identified salt responsive transcripts belong to pathways known to be associated with salt stress including osmolyte and lipid metabolism, cell wall structure, and membrane synthesis. About 48% of all salt-responsive genes were functionally unknown. Quantitative RT-PCR was used to validate 17 selected salt responsive genes. This work represents the first study in employing microarray to investigate the possible mechanisms of the salt response in cotton. Further analysis of salt-responsive genes associated with salt tolerance in cotton will assist in laying a foundation for molecular manipulation in development of new cultivars with improved salt tolerance. Copyright Â
© 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 21421393     DOI: 10.1016/j.plantsci.2010.10.009

Source DB:  PubMed          Journal:  Plant Sci        ISSN: 0168-9452            Impact factor:   4.729


  20 in total

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Authors:  Mahbod Sahebi; Mohamed M Hanafi; Parisa Azizi; Abdul Hakim; Sadegh Ashkani; Rambod Abiri
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3.  Gene expression analysis in the roots of salt-stressed wheat and the cytogenetic derivatives of wheat combined with the salt-tolerant wheatgrass, Lophopyrum elongatum.

Authors:  Zina Hussein; Ani Dryanova; Deborah Maret; Patrick J Gulick
Journal:  Plant Cell Rep       Date:  2013-10-19       Impact factor: 4.570

4.  Genome-wide investigation and transcriptome analysis of the WRKY gene family in Gossypium.

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Journal:  Mol Genet Genomics       Date:  2014-09-05       Impact factor: 3.291

5.  Aberrant phenotype and transcriptome expression during fiber cell wall thickening caused by the mutation of the Im gene in immature fiber (im) mutant in Gossypium hirsutum L.

Authors:  Cheng Wang; Yuanda Lv; Wentin Xu; Tianzhen Zhang; Wangzhen Guo
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6.  Comprehensive analysis of differentially expressed genes and transcriptional regulation induced by salt stress in two contrasting cotton genotypes.

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Journal:  BMC Genomics       Date:  2014-09-05       Impact factor: 3.969

7.  Identification of Salt Stress-Responsive Proteins in Maize (Zea may) Seedlings Using iTRAQ-Based Proteomic Technique.

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Journal:  Iran J Biotechnol       Date:  2021-01-01       Impact factor: 1.671

8.  mRNA-seq analysis of the Gossypium arboreum transcriptome reveals tissue selective signaling in response to water stress during seedling stage.

Authors:  Xueyan Zhang; Dongxia Yao; Qianhua Wang; Wenying Xu; Qiang Wei; Chunchao Wang; Chuanliang Liu; Chaojun Zhang; Hong Yan; Yi Ling; Zhen Su; Fuguang Li
Journal:  PLoS One       Date:  2013-01-28       Impact factor: 3.240

9.  Identification of early salt stress responsive proteins in seedling roots of upland cotton (Gossypium hirsutum L.) employing iTRAQ-based proteomic technique.

Authors:  Wu Li; Fu'an Zhao; Weiping Fang; Deyi Xie; Jianan Hou; Xiaojie Yang; Yuanming Zhao; Zhongjie Tang; Lihong Nie; Shuping Lv
Journal:  Front Plant Sci       Date:  2015-09-11       Impact factor: 5.753

10.  Transcriptome analysis reveals crosstalk of responsive genes to multiple abiotic stresses in cotton (Gossypium hirsutum L.).

Authors:  Ya-Na Zhu; Dong-Qiao Shi; Meng-Bin Ruan; Li-Li Zhang; Zhao-Hong Meng; Jie Liu; Wei-Cai Yang
Journal:  PLoS One       Date:  2013-11-05       Impact factor: 3.240

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