Evidence map›Paper›PMID 18466918›Full record

ArticleJournal of molecular biology2008

The role of DNA-binding specificity in the evolution of bacterial regulatory networks.

Irma Lozada-Chávez, Vladimir Espinosa Angarica, Julio Collado-Vides, Bruno Contreras-Moreira

Open access · greenAbstract read
In one paragraph

Article in Journal of molecular biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 46 citations in OpenAlex.

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  4. TheFrontiers in microbiology · 2023
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  14. "Hypothesis for the modern RNA world": a pervasive non-coding RNA-based genetic regulation is a prerequisite for the emergence of multicellular complexity.Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life · 2011
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 2 countries.

Irma Lozada-ChávezPrograma de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Av. Universidad s/n, Cuernavaca, 62210 Morelos, México. ilozada@ccg.unam.mx
Vladimir Espinosa Angarica
Julio Collado-Vides
Bruno Contreras-Moreira
Universidad Nacional Autónoma de México · MX

Funding

Gene Regulation: E.coli Database Integrated ModelingR01GM071962 · NIGMS · CENTER FOR GENOMIC SCIENCES · PI COLLADO-VIDES, JULIO · 2004 to 2011
$2.4M
NIGMS NIH HHS R01 GM071962NIGMS NIH HHS R01-GM071962
6 · The paper itself

Abstract

Understanding the mechanisms by which transcriptional regulatory networks (TRNs) change through evolution is a fundamental problem.Here, we analyze this question using data from Escherichia coli and Bacillus subtilis, and find that paralogy relationships are insufficient to explain the global or local role observed for transcription factors (TFs) within regulatory networks. Our results provide a picture in which DNA-binding specificity, a molecular property that can be measured in different ways, is a predictor of the role of transcription factors. In particular, we observe that global regulators consistently display low levels of binding specificity, while displaying comparatively higher expression values in microarray experiments. In addition, we find a strong negative correlation between binding specificity and the number of co-regulators that help coordinate genetic expression on a genomic scale. A close look at several orthologous TFs,including FNR, a regulator found to be global in E. coli and local in B.subtilis, confirms the diagnostic value of specificity in order to understand their regulatory function, and highlights the importance of evaluating the metabolic and ecological relevance of effectors as another variable in the evolutionary equation of regulatory networks. Finally, a general model is presented that integrates some evolutionary forces and molecular properties,aiming to explain how regulons grow and shrink, as bacteria tune their regulation to increase adaptation.

Indexed as

Bacillus subtilisBacterial ProteinsEscherichia coliEvolution, MolecularGene Regulatory NetworksTranscription FactorsGene DuplicationGene Expression Regulation, BacterialMicroarray AnalysisModels, TheoreticalProtein ConformationRandom AllocationTranscription, GeneticBacterial ProteinsTranscription Factors

Identifiers

PMID18466918
PMCPMC2491489
OpenAlexW2072547387

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.