Literature DB >> 18421347

Evolvability and hierarchy in rewired bacterial gene networks.

Mark Isalan1, Caroline Lemerle, Konstantinos Michalodimitrakis, Carsten Horn, Pedro Beltrao, Emanuele Raineri, Mireia Garriga-Canut, Luis Serrano.   

Abstract

Sequencing DNA from several organisms has revealed that duplication and drift of existing genes have primarily moulded the contents of a given genome. Though the effect of knocking out or overexpressing a particular gene has been studied in many organisms, no study has systematically explored the effect of adding new links in a biological network. To explore network evolvability, we constructed 598 recombinations of promoters (including regulatory regions) with different transcription or sigma-factor genes in Escherichia coli, added over a wild-type genetic background. Here we show that approximately 95% of new networks are tolerated by the bacteria, that very few alter growth, and that expression level correlates with factor position in the wild-type network hierarchy. Most importantly, we find that certain networks consistently survive over the wild type under various selection pressures. Therefore new links in the network are rarely a barrier for evolution and can even confer a fitness advantage.

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Year:  2008        PMID: 18421347      PMCID: PMC2666274          DOI: 10.1038/nature06847

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  42 in total

1.  Emergence of scaling in random networks

Authors: 
Journal:  Science       Date:  1999-10-15       Impact factor: 47.728

2.  The complete genome sequence of Escherichia coli K-12.

Authors:  F R Blattner; G Plunkett; C A Bloch; N T Perna; V Burland; M Riley; J Collado-Vides; J D Glasner; C K Rode; G F Mayhew; J Gregor; N W Davis; H A Kirkpatrick; M A Goeden; D J Rose; B Mau; Y Shao
Journal:  Science       Date:  1997-09-05       Impact factor: 47.728

3.  Isolation of an Escherichia coli K-12 mutant strain able to form biofilms on inert surfaces: involvement of a new ompR allele that increases curli expression.

Authors:  O Vidal; R Longin; C Prigent-Combaret; C Dorel; M Hooreman; P Lejeune
Journal:  J Bacteriol       Date:  1998-05       Impact factor: 3.490

Review 4.  Inducible acid tolerance mechanisms in enteric bacteria.

Authors:  J W Foster; M Moreno
Journal:  Novartis Found Symp       Date:  1999

5.  Mutational activation of the Cpx signal transduction pathway of Escherichia coli suppresses the toxicity conferred by certain envelope-associated stresses.

Authors:  C L Cosma; P N Danese; J H Carlson; T J Silhavy; W B Snyder
Journal:  Mol Microbiol       Date:  1995-11       Impact factor: 3.501

Review 6.  Engineered gene circuits.

Authors:  Jeff Hasty; David McMillen; J J Collins
Journal:  Nature       Date:  2002-11-14       Impact factor: 49.962

7.  Curli fibers are highly conserved between Salmonella typhimurium and Escherichia coli with respect to operon structure and regulation.

Authors:  U Römling; Z Bian; M Hammar; W D Sierralta; S Normark
Journal:  J Bacteriol       Date:  1998-02       Impact factor: 3.490

8.  Evolutionary potential of a duplicated repressor-operator pair: simulating pathways using mutation data.

Authors:  Frank J Poelwijk; Daniel J Kiviet; Sander J Tans
Journal:  PLoS Comput Biol       Date:  2006-05-26       Impact factor: 4.475

9.  Bacterial regulatory networks are extremely flexible in evolution.

Authors:  Irma Lozada-Chávez; Sarath Chandra Janga; Julio Collado-Vides
Journal:  Nucleic Acids Res       Date:  2006-07-13       Impact factor: 16.971

10.  EcoCyc: a comprehensive database resource for Escherichia coli.

Authors:  Ingrid M Keseler; Julio Collado-Vides; Socorro Gama-Castro; John Ingraham; Suzanne Paley; Ian T Paulsen; Martín Peralta-Gil; Peter D Karp
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

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  117 in total

Review 1.  Advantages and limitations of current network inference methods.

Authors:  Riet De Smet; Kathleen Marchal
Journal:  Nat Rev Microbiol       Date:  2010-08-31       Impact factor: 60.633

2.  Genetic flexibility of regulatory networks.

Authors:  Alexander Hunziker; Csaba Tuboly; Péter Horváth; Sandeep Krishna; Szabolcs Semsey
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-06       Impact factor: 11.205

3.  Transcriptomic and phenotypic analyses identify coregulated, overlapping regulons among PrfA, CtsR, HrcA, and the alternative sigma factors sigmaB, sigmaC, sigmaH, and sigmaL in Listeria monocytogenes.

Authors:  Soraya Chaturongakul; Sarita Raengpradub; M Elizabeth Palmer; Teresa M Bergholz; Renato H Orsi; Yuewei Hu; Juliane Ollinger; Martin Wiedmann; Kathryn J Boor
Journal:  Appl Environ Microbiol       Date:  2010-10-29       Impact factor: 4.792

4.  A critical view of metabolic network adaptations.

Authors:  Balázs Papp; Bas Teusink; Richard A Notebaart
Journal:  HFSP J       Date:  2008-12-03

Review 5.  Gene expression profiling and the use of genome-scale in silico models of Escherichia coli for analysis: providing context for content.

Authors:  Nathan E Lewis; Byung-Kwan Cho; Eric M Knight; Bernhard O Palsson
Journal:  J Bacteriol       Date:  2009-04-10       Impact factor: 3.490

Review 6.  Epigenetic principles and mechanisms underlying nervous system functions in health and disease.

Authors:  Mark F Mehler
Journal:  Prog Neurobiol       Date:  2008-10-17       Impact factor: 11.685

7.  A latent capacity for evolutionary innovation through exaptation in metabolic systems.

Authors:  Aditya Barve; Andreas Wagner
Journal:  Nature       Date:  2013-07-14       Impact factor: 49.962

8.  Experimental determination of the evolvability of a transcription factor.

Authors:  Sebastian J Maerkl; Stephen R Quake
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-19       Impact factor: 11.205

9.  High-throughput mathematical analysis identifies Turing networks for patterning with equally diffusing signals.

Authors:  Luciano Marcon; Xavier Diego; James Sharpe; Patrick Müller
Journal:  Elife       Date:  2016-04-08       Impact factor: 8.140

Review 10.  Protein-protein interaction networks: how can a hub protein bind so many different partners?

Authors:  Chung-Jung Tsai; Buyong Ma; Ruth Nussinov
Journal:  Trends Biochem Sci       Date:  2009-12       Impact factor: 13.807

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