Evidence map›Paper›PMID 23504016›Full record

ArticleJournal of bacteriology2013

Genomic reconstruction of the transcriptional regulatory network in Bacillus subtilis.

Semen A Leyn, Marat D Kazanov, Natalia V Sernova, Ekaterina O Ermakova, Pavel S Novichkov, Dmitry A Rodionov

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of bacteriology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 4% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
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  3. OftenFrontiers in microbiology · 2025
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  9. Frontiers in microbiology · 2021
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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

6 authors at 3 institutions in 2 countries.

Semen A LeynSanford-Burnham Medical Research Institute, La Jolla, California, USA.
Marat D Kazanov
Natalia V Sernova
Ekaterina O Ermakova
Pavel S Novichkov
Dmitry A Rodionov
Institute for Information Transmission Problems · RULawrence Berkeley National Laboratory · USSanford Burnham Prebys Medical Discovery Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adaptation of microorganisms to their environment is controlled by complex transcriptional regulatory networks (TRNs), which are still only partially understood even for model species. Genome scale annotation of regulatory features of genes and TRN reconstruction are challenging tasks of microbial genomics. We used the knowledge-driven comparative-genomics approach implemented in the RegPredict Web server to infer TRN in the model Gram-positive bacterium Bacillus subtilis and 10 related Bacillales species. For transcription factor (TF) regulons, we combined the available information from the DBTBS database and the literature with bioinformatics tools, allowing inference of TF binding sites (TFBSs), comparative analysis of the genomic context of predicted TFBSs, functional assignment of target genes, and effector prediction. For RNA regulons, we used known RNA regulatory motifs collected in the Rfam database to scan genomes and analyze the genomic context of new RNA sites. The inferred TRN in B. subtilis comprises regulons for 129 TFs and 24 regulatory RNA families. First, we analyzed 66 TF regulons with previously known TFBSs in B. subtilis and projected them to other Bacillales genomes, resulting in refinement of TFBS motifs and identification of novel regulon members. Second, we inferred motifs and described regulons for 28 experimentally studied TFs with previously unknown TFBSs. Third, we discovered novel motifs and reconstructed regulons for 36 previously uncharacterized TFs. The inferred collection of regulons is available in the RegPrecise database (http://regprecise.lbl.gov/) and can be used in genetic experiments, metabolic modeling, and evolutionary analysis.

Indexed as

Amino AcidsBacillalesBacillus subtilisBacterial ProteinsCarbohydrate MetabolismCarbohydratesGene Expression Regulation, BacterialGene Regulatory NetworksGenome, BacterialNucleotide MotifsPhylogenyProtein BindingRegulonRNA, BacterialStress, PhysiologicalTranscription FactorsAmino AcidsBacterial ProteinsCarbohydratesRNA, BacterialTranscription Factors

Identifiers

PMID23504016
PMCPMC3676070
OpenAlexW2150459929

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.