Literature DB >> 23610404

Neutral forces acting on intragenomic variability shape the Escherichia coli regulatory network topology.

Troy Ruths1, Luay Nakhleh.   

Abstract

Cis-regulatory networks (CRNs) play a central role in cellular decision making. Like every other biological system, CRNs undergo evolution, which shapes their properties by a combination of adaptive and nonadaptive evolutionary forces. Teasing apart these forces is an important step toward functional analyses of the different components of CRNs, designing regulatory perturbation experiments, and constructing synthetic networks. Although tests of neutrality and selection based on molecular sequence data exist, no such tests are currently available based on CRNs. In this work, we present a unique genotype model of CRNs that is grounded in a genomic context and demonstrate its use in identifying portions of the CRN with properties explainable by neutral evolutionary forces at the system, subsystem, and operon levels. We leverage our model against experimentally derived data from Escherichia coli. The results of this analysis show statistically significant and substantial neutral trends in properties previously identified as adaptive in origin--degree distribution, clustering coefficient, and motifs--within the E. coli CRN. Our model captures the tightly coupled genome-interactome of an organism and enables analyses of how evolutionary events acting at the genome level, such as mutation, and at the population level, such as genetic drift, give rise to neutral patterns that we can quantify in CRNs.

Entities:  

Keywords:  binding sites; ncDNA; noncoding DNA; population genetics

Mesh:

Substances:

Year:  2013        PMID: 23610404      PMCID: PMC3651454          DOI: 10.1073/pnas.1217630110

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  29 in total

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8.  Evolution of gene regulatory networks by fluctuating selection and intrinsic constraints.

Authors:  Masaki E Tsuda; Masakado Kawata
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Authors:  Zahra Razaghi Moghadam Kashani; Hayedeh Ahrabian; Elahe Elahi; Abbas Nowzari-Dalini; Elnaz Saberi Ansari; Sahar Asadi; Shahin Mohammadi; Falk Schreiber; Ali Masoudi-Nejad
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10.  Evolutionary mirages: selection on binding site composition creates the illusion of conserved grammars in Drosophila enhancers.

Authors:  Richard W Lusk; Michael B Eisen
Journal:  PLoS Genet       Date:  2010-01-22       Impact factor: 5.917

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  6 in total

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Review 2.  Making sense of transcription networks.

Authors:  Trevor R Sorrells; Alexander D Johnson
Journal:  Cell       Date:  2015-05-07       Impact factor: 41.582

3.  The influence of promoter architectures and regulatory motifs on gene expression in Escherichia coli.

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4.  Feed-forward regulation adaptively evolves via dynamics rather than topology when there is intrinsic noise.

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Journal:  Nat Commun       Date:  2019-06-03       Impact factor: 14.919

5.  Boosting forward-time population genetic simulators through genotype compression.

Authors:  Troy Ruths; Luay Nakhleh
Journal:  BMC Bioinformatics       Date:  2013-06-14       Impact factor: 3.169

6.  Evolution after whole-genome duplication: a network perspective.

Authors:  Yun Zhu; Zhenguo Lin; Luay Nakhleh
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  6 in total

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