Literature DB >> 33961216

Comparative Analysis of Core and Accessory Genes in Coexpression Network.

Biliang Zhang1, Jian Jiao1, Pan Zhang1, Wen-Jing Cui1, Ziding Zhang1, Chang-Fu Tian2.   

Abstract

Prokaryotes harbor a various proportion of accessory genes in their genomes. The integration of accessory functions with the core regulation network is critical for environmental adaptation, particularly considering a theoretically unlimited number of niches on the earth for microorganisms. Comparative genomics can reveal a co-occurrence pattern between a subset of accessory genes (or variations in core genes) and an adaptation trait, while comparative transcriptomics can further uncover whether a coordinated regulation of gene expression is involved. In this chapter, we introduce a protocol for weighted gene coexpression network construction by using well-developed open source tools, and a further application of such a network in comparative analysis of bacterial core and accessory genes.

Keywords:  Accessory gene; Coexpression; Core gene; Network analysis; Orthologs; WGCNA

Year:  2021        PMID: 33961216     DOI: 10.1007/978-1-0716-1099-2_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  18 in total

1.  A gene-coexpression network for global discovery of conserved genetic modules.

Authors:  Joshua M Stuart; Eran Segal; Daphne Koller; Stuart K Kim
Journal:  Science       Date:  2003-08-21       Impact factor: 47.728

2.  Fast gapped-read alignment with Bowtie 2.

Authors:  Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2012-03-04       Impact factor: 28.547

3.  Sensitive high-performance liquid chromatographic determination of ionic drugs in biological fluids with short-wavelength ultraviolet detection using column switching combined with ion-pair chromatography: application to basic compounds.

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Journal:  J Chromatogr       Date:  1989-02-24

4.  Urinary MHPG: improved tricyclic antidepressant drug selection in clinical practice.

Authors: 
Journal:  Med J Aust       Date:  1979-09-08       Impact factor: 7.738

5.  RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies.

Authors:  Alexandros Stamatakis
Journal:  Bioinformatics       Date:  2014-01-21       Impact factor: 6.937

6.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

7.  Coordinated regulation of core and accessory genes in the multipartite genome of Sinorhizobium fredii.

Authors:  Jian Jiao; Meng Ni; Biliang Zhang; Ziding Zhang; J Peter W Young; Ting-Fung Chan; Wen Xin Chen; Hon-Ming Lam; Chang Fu Tian
Journal:  PLoS Genet       Date:  2018-05-24       Impact factor: 5.917

8.  OrthoFinder: solving fundamental biases in whole genome comparisons dramatically improves orthogroup inference accuracy.

Authors:  David M Emms; Steven Kelly
Journal:  Genome Biol       Date:  2015-08-06       Impact factor: 13.583

9.  Reconstruction of gene co-expression network from microarray data using local expression patterns.

Authors:  Swarup Roy; Dhruba K Bhattacharyya; Jugal K Kalita
Journal:  BMC Bioinformatics       Date:  2014-05-28       Impact factor: 3.169

Review 10.  Learning from Co-expression Networks: Possibilities and Challenges.

Authors:  Elise A R Serin; Harm Nijveen; Henk W M Hilhorst; Wilco Ligterink
Journal:  Front Plant Sci       Date:  2016-04-08       Impact factor: 5.753

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  1 in total

1.  In vivo, in vitro and in silico: an open space for the development of microbe-based applications of synthetic biology.

Authors:  Antoine Danchin
Journal:  Microb Biotechnol       Date:  2021-09-27       Impact factor: 5.813

  1 in total

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