Literature DB >> 15353560

Gene co-regulation is highly conserved in the evolution of eukaryotes and prokaryotes.

Berend Snel1, Vera van Noort, Martijn A Huynen.   

Abstract

Differences between species have been suggested to largely reside in the network of connections among the genes. Nevertheless, the rate at which these connections evolve has not been properly quantified. Here, we measure the extent to which co-regulation between pairs of genes is conserved over large phylogenetic distances; between two eukaryotes Caenorhabditis elegans and Saccharomyces cerevisiae, and between two prokaryotes Escherichia coli and Bacillus subtilis. We first construct a reliable set of co-regulated genes by combining various functional genomics data from yeast, and subsequently determine conservation of co-regulation in worm from the distribution of co-expression values. For B.subtilis and E.coli, we use known operons and regulons. We find that between 76 and 80% of the co-regulatory connections are conserved between orthologous pairs of genes, which is very high compared with previous estimates and expectations regarding network evolution. We show that in the case of gene duplication after speciation, one of the two inparalogous genes tends to retain its original co-regulatory relationship, while the other loses this link and is presumably free for differentiation or sub-functionalization. The high level of co-regulation conservation implies that reliably predicted functional relationships from functional genomics data in one species can be transferred with high accuracy to another species when that species also harbours the associated genes.

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Year:  2004        PMID: 15353560      PMCID: PMC519111          DOI: 10.1093/nar/gkh815

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  40 in total

1.  RegulonDB (version 3.2): transcriptional regulation and operon organization in Escherichia coli K-12.

Authors:  H Salgado; A Santos-Zavaleta; S Gama-Castro; D Millán-Zárate; E Díaz-Peredo; F Sánchez-Solano; E Pérez-Rueda; C Bonavides-Martínez; J Collado-Vides
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

2.  Predicting regulons and their cis-regulatory motifs by comparative genomics.

Authors:  A Manson McGuire; G M Church
Journal:  Nucleic Acids Res       Date:  2000-11-15       Impact factor: 16.971

3.  Use of contiguity on the chromosome to predict functional coupling.

Authors:  R Overbeek; M Fonstein; M D'Souza; G D Pusch; N Maltsev
Journal:  In Silico Biol       Date:  1999

4.  A gene expression map for Caenorhabditis elegans.

Authors:  S K Kim; J Lund; M Kiraly; K Duke; M Jiang; J M Stuart; A Eizinger; B N Wylie; G S Davidson
Journal:  Science       Date:  2001-09-14       Impact factor: 47.728

5.  Alternative splicing and genome complexity.

Authors:  David Brett; Heike Pospisil; Juan Valcárcel; Jens Reich; Peer Bork
Journal:  Nat Genet       Date:  2001-12-17       Impact factor: 38.330

6.  Comparative assessment of large-scale data sets of protein-protein interactions.

Authors:  Christian von Mering; Roland Krause; Berend Snel; Michael Cornell; Stephen G Oliver; Stanley Fields; Peer Bork
Journal:  Nature       Date:  2002-05-08       Impact factor: 49.962

7.  Adaptive evolution after gene duplication.

Authors:  Austin L Hughes
Journal:  Trends Genet       Date:  2002-09       Impact factor: 11.639

8.  Decoupled evolution of coding region and mRNA expression patterns after gene duplication: implications for the neutralist-selectionist debate.

Authors:  A Wagner
Journal:  Proc Natl Acad Sci U S A       Date:  2000-06-06       Impact factor: 11.205

9.  The yeast protein interaction network evolves rapidly and contains few redundant duplicate genes.

Authors:  A Wagner
Journal:  Mol Biol Evol       Date:  2001-07       Impact factor: 16.240

10.  Similarities and differences in genome-wide expression data of six organisms.

Authors:  Sven Bergmann; Jan Ihmels; Naama Barkai
Journal:  PLoS Biol       Date:  2003-12-15       Impact factor: 8.029

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  32 in total

Review 1.  Genomes, phylogeny, and evolutionary systems biology.

Authors:  Mónica Medina
Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-25       Impact factor: 11.205

2.  A metabolic network in the evolutionary context: multiscale structure and modularity.

Authors:  Victor Spirin; Mikhail S Gelfand; Andrey A Mironov; Leonid A Mirny
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-26       Impact factor: 11.205

Review 3.  Practical and theoretical advances in predicting the function of a protein by its phylogenetic distribution.

Authors:  Philip R Kensche; Vera van Noort; Bas E Dutilh; Martijn A Huynen
Journal:  J R Soc Interface       Date:  2008-02-06       Impact factor: 4.118

Review 4.  Comparative genomic reconstruction of transcriptional regulatory networks in bacteria.

Authors:  Dmitry A Rodionov
Journal:  Chem Rev       Date:  2007-07-18       Impact factor: 60.622

5.  Modularity of stress response evolution.

Authors:  Amoolya H Singh; Denise M Wolf; Peggy Wang; Adam P Arkin
Journal:  Proc Natl Acad Sci U S A       Date:  2008-05-21       Impact factor: 11.205

6.  Identifying metabolic enzymes with multiple types of association evidence.

Authors:  Peter Kharchenko; Lifeng Chen; Yoav Freund; Dennis Vitkup; George M Church
Journal:  BMC Bioinformatics       Date:  2006-03-29       Impact factor: 3.169

7.  Modeling co-expression across species for complex traits: insights to the difference of human and mouse embryonic stem cells.

Authors:  Jun Cai; Dan Xie; Zhewen Fan; Hiram Chipperfield; John Marden; Wing H Wong; Sheng Zhong
Journal:  PLoS Comput Biol       Date:  2010-03-12       Impact factor: 4.475

8.  Bacterial regulon modeling and prediction based on systematic cis regulatory motif analyses.

Authors:  Bingqiang Liu; Chuan Zhou; Guojun Li; Hanyuan Zhang; Erliang Zeng; Qi Liu; Qin Ma
Journal:  Sci Rep       Date:  2016-03-15       Impact factor: 4.379

9.  Immunity related genes in dipterans share common enrichment of AT-rich motifs in their 5' regulatory regions that are potentially involved in nucleosome formation.

Authors:  Jesus Hernandez-Romano; Francisco J Carlos-Rivera; Heladia Salgado; Hector Lamadrid-Figueroa; Veronica Valverde-Garduño; Mario H Rodriguez; Jesus Martinez-Barnetche
Journal:  BMC Genomics       Date:  2008-07-09       Impact factor: 3.969

10.  Functional organization of the transcriptome in human brain.

Authors:  Michael C Oldham; Genevieve Konopka; Kazuya Iwamoto; Peter Langfelder; Tadafumi Kato; Steve Horvath; Daniel H Geschwind
Journal:  Nat Neurosci       Date:  2008-10-12       Impact factor: 24.884

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