Literature DB >> 30701323

Gene co-expression network analysis identifies trait-related modules in Arabidopsis thaliana.

Wei Liu1, Liping Lin2, Zhiyuan Zhang2, Siqi Liu2, Kuan Gao2, Yanbin Lv2, Huan Tao2, Huaqin He3.   

Abstract

MAIN
CONCLUSION: A comprehensive network of the Arabidopsis transcriptome was analyzed and may serve as a valuable resource for candidate gene function investigations. A web tool to explore module information was also provided. Arabidopsis thaliana is a widely studied model plant whose transcriptome has been substantially profiled in various tissues, development stages and other conditions. These data can be reused for research on gene function through a systematic analysis of gene co-expression relationships. We collected microarray data from National Center for Biotechnology Information Gene Expression Omnibus, identified modules of co-expressed genes and annotated module functions. These modules were associated with experiments/traits, which provided potential signature modules for phenotypes. Novel heat shock proteins were implicated according to guilt by association. A higher-order module networks analysis suggested that the Arabidopsis network can be further organized into 15 meta-modules and that a chloroplast meta-module has a distinct gene expression pattern from the other 14 meta-modules. A comparison with the rice transcriptome revealed preserved modules and KEGG pathways. All the module gene information was available from an online tool at http://bioinformatics.fafu.edu.cn/arabi/ . Our findings provide a new source for future gene discovery in Arabidopsis.

Entities:  

Keywords:  Conservation; Hub gene; Rice; Transcriptome

Mesh:

Year:  2019        PMID: 30701323     DOI: 10.1007/s00425-019-03102-9

Source DB:  PubMed          Journal:  Planta        ISSN: 0032-0935            Impact factor:   4.116


  55 in total

1.  A comparison of normalization methods for high density oligonucleotide array data based on variance and bias.

Authors:  B M Bolstad; R A Irizarry; M Astrand; T P Speed
Journal:  Bioinformatics       Date:  2003-01-22       Impact factor: 6.937

2.  A general framework for weighted gene co-expression network analysis.

Authors:  Bin Zhang; Steve Horvath
Journal:  Stat Appl Genet Mol Biol       Date:  2005-08-12

3.  Arabidopsis circadian clock protein, TOC1, is a DNA-binding transcription factor.

Authors:  Joshua M Gendron; José L Pruneda-Paz; Colleen J Doherty; Andrew M Gross; S Earl Kang; Steve A Kay
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-06       Impact factor: 11.205

Review 4.  Co-expression tools for plant biology: opportunities for hypothesis generation and caveats.

Authors:  Björn Usadel; Takeshi Obayashi; Marek Mutwil; Federico M Giorgi; George W Bassel; Mimi Tanimoto; Amanda Chow; Dirk Steinhauser; Staffan Persson; Nicholas J Provart
Journal:  Plant Cell Environ       Date:  2009-08-27       Impact factor: 7.228

Review 5.  Orchestrating high-throughput genomic analysis with Bioconductor.

Authors:  Wolfgang Huber; Vincent J Carey; Robert Gentleman; Simon Anders; Marc Carlson; Benilton S Carvalho; Hector Corrada Bravo; Sean Davis; Laurent Gatto; Thomas Girke; Raphael Gottardo; Florian Hahne; Kasper D Hansen; Rafael A Irizarry; Michael Lawrence; Michael I Love; James MacDonald; Valerie Obenchain; Andrzej K Oleś; Hervé Pagès; Alejandro Reyes; Paul Shannon; Gordon K Smyth; Dan Tenenbaum; Levi Waldron; Martin Morgan
Journal:  Nat Methods       Date:  2015-02       Impact factor: 28.547

6.  Evolutionary and physiological importance of hub proteins.

Authors:  Nizar N Batada; Laurence D Hurst; Mike Tyers
Journal:  PLoS Comput Biol       Date:  2006-06-05       Impact factor: 4.475

7.  Pan- and core- network analysis of co-expression genes in a model plant.

Authors:  Fei He; Sergei Maslov
Journal:  Sci Rep       Date:  2016-12-16       Impact factor: 4.379

8.  PLANEX: the plant co-expression database.

Authors:  Won Cheol Yim; Yongbin Yu; Kitae Song; Cheol Seong Jang; Byung-Moo Lee
Journal:  BMC Plant Biol       Date:  2013-05-20       Impact factor: 4.215

9.  Positional gene enrichment analysis of gene sets for high-resolution identification of overrepresented chromosomal regions.

Authors:  Katleen De Preter; Roland Barriot; Frank Speleman; Jo Vandesompele; Yves Moreau
Journal:  Nucleic Acids Res       Date:  2008-03-16       Impact factor: 16.971

10.  Genes and co-expression modules common to drought and bacterial stress responses in Arabidopsis and rice.

Authors:  Rafi Shaik; Wusirika Ramakrishna
Journal:  PLoS One       Date:  2013-10-10       Impact factor: 3.240

View more
  10 in total

1.  Identification of key genes associated with secondary metabolites biosynthesis by system network analysis in Valeriana officinalis.

Authors:  Mohammad Bolhassani; Ali Niazi; Ahmad Tahmasebi; Ali Moghadam
Journal:  J Plant Res       Date:  2021-04-07       Impact factor: 2.629

2.  Genome-Wide Mining of MYB Transcription Factors in the Anthocyanin Biosynthesis Pathway of Gossypium Hirsutum.

Authors:  Yingjie Zhu; Ying Bao
Journal:  Biochem Genet       Date:  2021-01-27       Impact factor: 1.890

3.  A Co-Expression Network in Hexaploid Wheat Reveals Mostly Balanced Expression and Lack of Significant Gene Loss of Homeologous Meiotic Genes Upon Polyploidization.

Authors:  Abdul Kader Alabdullah; Philippa Borrill; Azahara C Martin; Ricardo H Ramirez-Gonzalez; Keywan Hassani-Pak; Cristobal Uauy; Peter Shaw; Graham Moore
Journal:  Front Plant Sci       Date:  2019-10-18       Impact factor: 5.753

4.  Co-expression Networks From Gene Expression Variability Between Genetically Identical Seedlings Can Reveal Novel Regulatory Relationships.

Authors:  Sandra Cortijo; Marcel Bhattarai; James C W Locke; Sebastian E Ahnert
Journal:  Front Plant Sci       Date:  2020-12-15       Impact factor: 5.753

5.  Transcriptional Landscape of Cotton Fiber Development and Its Alliance With Fiber-Associated Traits.

Authors:  Priti Prasad; Uzma Khatoon; Rishi Kumar Verma; Shahre Aalam; Ajay Kumar; Debashish Mohapatra; Parthasarthi Bhattacharya; Sumit K Bag; Samir V Sawant
Journal:  Front Plant Sci       Date:  2022-02-24       Impact factor: 5.753

Review 6.  Applications of cell- and tissue-specific 'omics to improve plant productivity.

Authors:  Bhavna Hurgobin; Mathew G Lewsey
Journal:  Emerg Top Life Sci       Date:  2022-04-15

7.  Integrated physiological and transcriptomic analyses reveal the molecular mechanism behind the response to cultivation in Quercus mongolica.

Authors:  Min Jiang; Xinman Li; Yangchen Yuan; Guowei Zhang; Jiushuai Pang; Junjie Ren; Jinmao Wang; Minsheng Yang
Journal:  Front Plant Sci       Date:  2022-08-08       Impact factor: 6.627

8.  Transcriptomics and metabolomics changes triggered by exogenous 6-benzylaminopurine in relieving epicotyl dormancy of Polygonatum cyrtonema Hua seeds.

Authors:  Wenwu Zhang; Long Xia; Fulei Peng; Chenyu Song; Muhammad Aamir Manzoor; Yongping Cai; Qing Jin
Journal:  Front Plant Sci       Date:  2022-07-25       Impact factor: 6.627

9.  Comprehensive functional analysis of the PYL-PP2C-SnRK2s family in Bletilla striata reveals that BsPP2C22 and BsPP2C38 interact with BsPYLs and BsSnRK2s in response to multiple abiotic stresses.

Authors:  Shuai Liu; Chan Lu; Guanghui Jiang; Ru Zhou; Yuanqing Chang; Shiqiang Wang; Donghao Wang; Junfeng Niu; Zhezhi Wang
Journal:  Front Plant Sci       Date:  2022-08-11       Impact factor: 6.627

10.  CoCoCoNet: conserved and comparative co-expression across a diverse set of species.

Authors:  John Lee; Manthan Shah; Sara Ballouz; Megan Crow; Jesse Gillis
Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.