Literature DB >> 31286320

Gene network modules associated with abiotic stress response in tolerant rice genotypes identified by transcriptome meta-analysis.

Shuchi Smita1,2,3,4, Amit Katiyar1,2,5, Sangram Keshari Lenka6, Monika Dalal7, Amish Kumar8, Sanjeet Kumar Mahtha8, Gitanjali Yadav8, Viswanathan Chinnusamy9, Dev Mani Pandey2, Kailash Chander Bansal10,11.   

Abstract

Abiotic stress tolerance is a complex trait regulated by multiple genes and gene networks in plants. A range of abiotic stresses are known to limit rice productivity. Meta-transcriptomics has emerged as a powerful approach to decipher stress-associated molecular network in model crops. However, retaining specificity of gene expression in tolerant and susceptible genotypes during meta-transcriptome analysis is important for understanding genotype-dependent stress tolerance mechanisms. Addressing this aspect, we describe here "abiotic stress tolerant" (ASTR) genes and networks specifically and differentially expressing in tolerant rice genotypes in response to different abiotic stress conditions. We identified 6,956 ASTR genes, key hub regulatory genes, transcription factors, and functional modules having significant association with abiotic stress-related ontologies and cis-motifs. Out of the 6956 ASTR genes, 73 were co-located within the boundary of previously identified abiotic stress trait-related quantitative trait loci. Functional annotation of 14 uncharacterized ASTR genes is proposed using multiple computational methods. Around 65% of the top ASTR genes were found to be differentially expressed in at least one of the tolerant genotypes under different stress conditions (cold, salt, drought, or heat) from publicly available RNAseq data comparison. The candidate ASTR genes specifically associated with tolerance could be utilized for engineering rice and possibly other crops for broad-spectrum tolerance to abiotic stresses.

Entities:  

Keywords:  Abiotic stress; Gene network module; Meta-analysis; QTLs; Rice (Oryza sativa); Tolerant genotype; Transcriptome

Mesh:

Year:  2019        PMID: 31286320     DOI: 10.1007/s10142-019-00697-w

Source DB:  PubMed          Journal:  Funct Integr Genomics        ISSN: 1438-793X            Impact factor:   3.410


  107 in total

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Journal:  Curr Opin Struct Biol       Date:  2003-04       Impact factor: 6.809

Review 2.  Ubiquitination pathway as a target to develop abiotic stress tolerance in rice.

Authors:  Andressa Dametto; Giseli Buffon; Édina Aparecida Dos Reis Blasi; Raul Antonio Sperotto
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3.  OsLSD1, a rice zinc finger protein, regulates programmed cell death and callus differentiation.

Authors:  Lijuan Wang; Zhongyou Pei; Yingchuan Tian; Chaozu He
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Review 4.  Biosynthesis and function of chondroitin sulfate.

Authors:  Tadahisa Mikami; Hiroshi Kitagawa
Journal:  Biochim Biophys Acta       Date:  2013-06-14

5.  Multiple abiotic stimuli are integrated in the regulation of rice gene expression under field conditions.

Authors:  Anne Plessis; Christoph Hafemeister; Olivia Wilkins; Zennia Jean Gonzaga; Rachel Sarah Meyer; Inês Pires; Christian Müller; Endang M Septiningsih; Richard Bonneau; Michael Purugganan
Journal:  Elife       Date:  2015-11-26       Impact factor: 8.140

6.  Phosphoproteomic analysis of the response of maize leaves to drought, heat and their combination stress.

Authors:  Xiuli Hu; Liuji Wu; Feiyun Zhao; Dayong Zhang; Nana Li; Guohui Zhu; Chaohao Li; Wei Wang
Journal:  Front Plant Sci       Date:  2015-05-05       Impact factor: 5.753

7.  Effects of drought stress on global gene expression profile in leaf and root samples of Dongxiang wild rice (Oryza rufipogon).

Authors:  Fantao Zhang; Yi Zhou; Meng Zhang; Xiangdong Luo; Jiankun Xie
Journal:  Biosci Rep       Date:  2017-06-27       Impact factor: 3.840

8.  Expression profiling of rice cultivars differing in their tolerance to long-term drought stress.

Authors:  Thomas Degenkolbe; Phuc Thi Do; Ellen Zuther; Dirk Repsilber; Dirk Walther; Dirk K Hincha; Karin I Köhl
Journal:  Plant Mol Biol       Date:  2008-10-19       Impact factor: 4.076

9.  Antagonistic, overlapping and distinct responses to biotic stress in rice (Oryza sativa) and interactions with abiotic stress.

Authors:  Reena Narsai; Chuang Wang; Jie Chen; Jianli Wu; Huixia Shou; James Whelan
Journal:  BMC Genomics       Date:  2013-02-12       Impact factor: 3.969

10.  Associating transcription factor-binding site motifs with target GO terms and target genes.

Authors:  Mikael Bodén; Timothy L Bailey
Journal:  Nucleic Acids Res       Date:  2008-06-10       Impact factor: 16.971

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  4 in total

1.  Identification of major candidate genes for multiple abiotic stress tolerance at seedling stage by network analysis and their validation by expression profiling in rice (Oryza sativa L.).

Authors:  M K Ramkumar; Ekta Mulani; Vasudha Jadon; V Sureshkumar; S Gopala Krishnan; S Senthil Kumar; M Raveendran; A K Singh; Amolkumar U Solanke; N K Singh; Amitha Mithra Sevanthi
Journal:  3 Biotech       Date:  2022-05-12       Impact factor: 2.893

2.  A Meta-Analysis of Comparative Transcriptomic Data Reveals a Set of Key Genes Involved in the Tolerance to Abiotic Stresses in Rice.

Authors:  Matteo Buti; Elena Baldoni; Elide Formentin; Justyna Milc; Giovanna Frugis; Fiorella Lo Schiavo; Annamaria Genga; Enrico Francia
Journal:  Int J Mol Sci       Date:  2019-11-12       Impact factor: 5.923

3.  QTL Mapping and Identification of Candidate Genes for Heat Tolerance at the Flowering Stage in Rice.

Authors:  Lei Chen; Qiang Wang; Maoyan Tang; Xiaoli Zhang; Yinghua Pan; Xinghai Yang; Guoqing Gao; Ronghua Lv; Wei Tao; Ligeng Jiang; Tianfeng Liang
Journal:  Front Genet       Date:  2021-01-22       Impact factor: 4.599

4.  Phenotypic and transcriptomic responses of cultivated sunflower seedlings (Helianthus annuus L.) to four abiotic stresses.

Authors:  Max H Barnhart; Rishi R Masalia; Liana J Mosley; John M Burke
Journal:  PLoS One       Date:  2022-09-30       Impact factor: 3.752

  4 in total

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