Evidence map›Paper›PMID 40808302›Full record

ArticleNucleic acids research2025

Comprehensive mapping of transcription terminator Rho utilization (Rut) sites across the Bacillus subtilis genome.

Mildred Delaleau, Vladimir Bidnenko, Eric Eveno, Gergana Kostova, Johnathan C Black, Stephen McGovern, Olivier Pellegrini, Sandra Dérozier, Matthieu Jules, Ciaran Condon and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Mildred DelaleauCentre de Biophysique Moléculaire, CNRS UPR4301, Affiliated with Université d'Orléans, rue Charles Sadron, 45071 Orléans cedex 2, France.
Vladimir BidnenkoUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350 Jouy-en-Josas, France.
Eric EvenoCentre de Biophysique Moléculaire, CNRS UPR4301, Affiliated with Université d'Orléans, rue Charles Sadron, 45071 Orléans cedex 2, France.
Gergana KostovaExpression Génétique Microbienne (EGM), CNRS, Université Paris Cité, Institut de Biologie Physico-Chimique, 13 rue Pierre et Marie Curie, Paris 75005, France.
Johnathan C BlackCentre de Biophysique Moléculaire, CNRS UPR4301, Affiliated with Université d'Orléans, rue Charles Sadron, 45071 Orléans cedex 2, France.
Stephen McGovernUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350 Jouy-en-Josas, France.
Olivier PellegriniExpression Génétique Microbienne (EGM), CNRS, Université Paris Cité, Institut de Biologie Physico-Chimique, 13 rue Pierre et Marie Curie, Paris 75005, France.
Sandra DérozierUniversité Paris-Saclay, INRAE, MaIAGE, 78350 Jouy-en-Josas, France.
Matthieu JulesUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350 Jouy-en-Josas, France.ORCID 0000-0003-0817-8949
Ciaran CondonExpression Génétique Microbienne (EGM), CNRS, Université Paris Cité, Institut de Biologie Physico-Chimique, 13 rue Pierre et Marie Curie, Paris 75005, France.ORCID 0000-0002-2199-9621
Sylvain DurandExpression Génétique Microbienne (EGM), CNRS, Université Paris Cité, Institut de Biologie Physico-Chimique, 13 rue Pierre et Marie Curie, Paris 75005, France.
Elena BidnenkoUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350 Jouy-en-Josas, France.
Marc BoudvillainCentre de Biophysique Moléculaire, CNRS UPR4301, Affiliated with Université d'Orléans, rue Charles Sadron, 45071 Orléans cedex 2, France.ORCID 0000-0002-6398-9122

Funding

Agence Nationale de la Recherche ANR-18-CE12-0025-01Agence Nationale de la Recherche ANR-18-CE12-0025-02Agence Nationale de la Recherche ANR-18-CE12-0025-03Agence Nationale de la Recherche ANR-19-CE44-0009-01Agence Nationale de la Recherche ANR-24-CE12-5113CNRSINRAELABEX program DynamoUniversité d'Orléans
6 · The paper itself

Abstract

Recent evidence indicates that the bacterial Rho helicase regulates Bacillus subtilis gene expression in a growth-dependent manner. This regulation, along with extensive in vivo trimming of Rho-dependent transcript 3'-ends, complicates the identification of Rho-dependent transcription terminators using standard transcriptomic approaches. To overcome this challenge, we applied Helicase-SELEX to precisely map Rho utilization (Rut) sites genome-wide. Using B. subtilis Rho (BsRho), we identified 600 putative Rut sites, while the more permissive Escherichia coli Rho (EcRho) revealed 4189 sites, including specimens known to regulate B. subtilis genes. Comparative analysis showed that both enzymes recognize similar pyrimidine-rich sequences, though BsRho favors short unstructured Rut motifs whereas EcRho can act on presumably more structured RNAs without requiring accessory factors. In vivo validation of selected Rut sites confirmed Rho-dependent regulation and extensive PNPase-mediated processing of Rho-terminated transcripts. Collectively, our results reveal a rich and complex Rho-dependent regulatory network in B. subtilis, encompassing the widespread control of antisense transcription and genes/operons of both primary and secondary metabolism. Although nonessential under standard laboratory conditions, Rho thus likely contributes to B. subtilis fitness and survival in more demanding environments. Our comprehensive compendium of Rut sites offers a valuable resource for exploring this adaptive regulatory landscape.

Indexed as

Bacillus subtilisGenome, BacterialRho FactorTerminator Regions, GeneticTranscription Termination, GeneticBacterial ProteinsEscherichia coliGene Expression Regulation, BacterialRNA, BacterialTranscription, GeneticBacterial ProteinsRho FactorRNA, Bacterial

Identifiers

PMID40808302
PMCPMC12350095

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Registered trials

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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.