Literature DB >> 15930492

Operon formation is driven by co-regulation and not by horizontal gene transfer.

Morgan N Price1, Katherine H Huang, Adam P Arkin, Eric J Alm.   

Abstract

The organization of bacterial genes into operons was originally ascribed to the benefits of co-regulation. More recently, the "selfish operon" model, in which operons are formed by repeated gain and loss of genes, was proposed. Indeed, operons are often subject to horizontal gene transfer (HGT). On the other hand, non-HGT genes are particularly likely to be in operons. To clarify whether HGT is involved in operon formation, we identified recently formed operons in Escherichia coli K12. We show that genes that have homologs in distantly related bacteria but not in close relatives of E. coli--indicating HGT--form new operons at about the same rates as native genes. Furthermore, genes in new operons are no more likely than other genes to have phylogenetic trees that are inconsistent with the species tree. In contrast, essential genes and ubiquitous genes without paralogs--genes believed to undergo HGT rarely--often form new operons. We conclude that HGT is not a cause of operon formation but instead promotes the prevalence of pre-existing operons. To explain operon formation, we propose that new operons reduce the amount of regulatory information required to specify optimal expression patterns and infer that operons should be more likely to evolve than independent promoters when regulation is complex. Consistent with this hypothesis, operons have greater amounts of conserved regulatory sequences than do individually transcribed genes.

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Year:  2005        PMID: 15930492      PMCID: PMC1142471          DOI: 10.1101/gr.3368805

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  42 in total

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3.  Connected gene neighborhoods in prokaryotic genomes.

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4.  Likelihood-based tests of topologies in phylogenetics.

Authors:  N Goldman; J P Anderson; A G Rodrigo
Journal:  Syst Biol       Date:  2000-12       Impact factor: 15.683

5.  Distributional profiles of homologous open reading frames among bacterial phyla: implications for vertical and lateral transmission.

Authors:  Mark A Ragan; Robert L Charlebois
Journal:  Int J Syst Evol Microbiol       Date:  2002-05       Impact factor: 2.747

6.  CDD: a curated Entrez database of conserved domain alignments.

Authors:  Aron Marchler-Bauer; John B Anderson; Carol DeWeese-Scott; Natalie D Fedorova; Lewis Y Geer; Siqian He; David I Hurwitz; John D Jackson; Aviva R Jacobs; Christopher J Lanczycki; Cynthia A Liebert; Chunlei Liu; Thomas Madej; Gabriele H Marchler; Raja Mazumder; Anastasia N Nikolskaya; Anna R Panchenko; Bachoti S Rao; Benjamin A Shoemaker; Vahan Simonyan; James S Song; Paul A Thiessen; Sona Vasudevan; Yanli Wang; Roxanne A Yamashita; Jodie J Yin; Stephen H Bryant
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

7.  The Stanford Microarray Database: data access and quality assessment tools.

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Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

8.  Analysis of the cellular functions of Escherichia coli operons and their conservation in Bacillus subtilis.

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9.  Factors influencing the identification of transcription factor binding sites by cross-species comparison.

Authors:  Lee Ann McCue; William Thompson; C Steven Carmack; Charles E Lawrence
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10.  Co-expression pattern from DNA microarray experiments as a tool for operon prediction.

Authors:  Chiara Sabatti; Lars Rohlin; Min-Kyu Oh; James C Liao
Journal:  Nucleic Acids Res       Date:  2002-07-01       Impact factor: 16.971

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  72 in total

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Journal:  J Bacteriol       Date:  2006-01       Impact factor: 3.490

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3.  Origins of flagellar gene operons and secondary flagellar systems.

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4.  Functional optimization of gene clusters by combinatorial design and assembly.

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5.  Theory of prokaryotic genome evolution.

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Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-04       Impact factor: 11.205

6.  Genomic organization underlying deletional robustness in bacterial metabolic systems.

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Journal:  Proc Natl Acad Sci U S A       Date:  2018-06-18       Impact factor: 11.205

7.  Conditions for the evolution of gene clusters in bacterial genomes.

Authors:  Sara Ballouz; Andrew R Francis; Ruiting Lan; Mark M Tanaka
Journal:  PLoS Comput Biol       Date:  2010-02-12       Impact factor: 4.475

Review 8.  Operons.

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Journal:  Cell Mol Life Sci       Date:  2009-08-07       Impact factor: 9.261

9.  Stochasticity in protein levels drives colinearity of gene order in metabolic operons of Escherichia coli.

Authors:  Károly Kovács; Laurence D Hurst; Balázs Papp
Journal:  PLoS Biol       Date:  2009-05-26       Impact factor: 8.029

10.  Evolutionary constraints permeate large metabolic networks.

Authors:  Andreas Wagner
Journal:  BMC Evol Biol       Date:  2009-09-11       Impact factor: 3.260

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