Evidence map›Paper›PMID 34491998›Full record

ArticlePLoS genetics2021

The CovR regulatory network drives the evolution of Group B Streptococcus virulence.

Maria-Vittoria Mazzuoli, Maëlle Daunesse, Hugo Varet, Isabelle Rosinski-Chupin, Rachel Legendre, Odile Sismeiro, Myriam Gominet, Pierre Alexandre Kaminski, Philippe Glaser, Claudia Chica and 2 more

Abstract read
In one paragraph

Article in PLoS genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  5. CRISPR interference in aJournal of bacteriology · 2026
    Article
  6. Review
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  8. Article
  9. Review
  10. Mechanisms and Manifestations of Group B Streptococcus Meningitis in Newborns.Journal of the Pediatric Infectious Diseases Society · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
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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

12 authors.

Maria-Vittoria MazzuoliUnité Biologie des Bactéries Pathogènes à Gram-positif, CNRS UMR2001 Microbiologie Intégrative et Moléculaire, Institut Pasteur, Paris, France.ORCID 0000-0002-7071-1698
Maëlle DaunesseHub de Bioinformatique et Biostatistique-Département Biologie Computationnelle, Institut Pasteur, Paris, France.ORCID 0000-0003-0350-7790
Hugo VaretHub de Bioinformatique et Biostatistique-Département Biologie Computationnelle, Institut Pasteur, Paris, France.ORCID 0000-0003-3980-4463
Isabelle Rosinski-ChupinUnité Écologie et Évolution de la Résistance aux Antibiotiques, CNRS UMR3525, Institut Pasteur, Paris, France.
Rachel LegendreHub de Bioinformatique et Biostatistique-Département Biologie Computationnelle, Institut Pasteur, Paris, France.ORCID 0000-0002-5196-9431
Odile SismeiroUnité Biologie des Bactéries Pathogènes à Gram-positif, CNRS UMR2001 Microbiologie Intégrative et Moléculaire, Institut Pasteur, Paris, France.ORCID 0000-0003-4113-4606
Myriam GominetUnité Biologie des Bactéries Pathogènes à Gram-positif, CNRS UMR2001 Microbiologie Intégrative et Moléculaire, Institut Pasteur, Paris, France.
Pierre Alexandre KaminskiUnité Biologie des Bactéries Pathogènes à Gram-positif, CNRS UMR2001 Microbiologie Intégrative et Moléculaire, Institut Pasteur, Paris, France.ORCID 0000-0001-9841-6837
Philippe GlaserUnité Écologie et Évolution de la Résistance aux Antibiotiques, CNRS UMR3525, Institut Pasteur, Paris, France.ORCID 0000-0003-4156-2782
Claudia ChicaHub de Bioinformatique et Biostatistique-Département Biologie Computationnelle, Institut Pasteur, Paris, France.ORCID 0000-0002-3758-640X
Patrick Trieu-CuotUnité Biologie des Bactéries Pathogènes à Gram-positif, CNRS UMR2001 Microbiologie Intégrative et Moléculaire, Institut Pasteur, Paris, France.
Arnaud FironUnité Biologie des Bactéries Pathogènes à Gram-positif, CNRS UMR2001 Microbiologie Intégrative et Moléculaire, Institut Pasteur, Paris, France.ORCID 0000-0002-5323-5212

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virulence of the neonatal pathogen Group B Streptococcus is under the control of the master regulator CovR. Inactivation of CovR is associated with large-scale transcriptome remodeling and impairs almost every step of the interaction between the pathogen and the host. However, transcriptome analyses suggested a plasticity of the CovR signaling pathway in clinical isolates leading to phenotypic heterogeneity in the bacterial population. In this study, we characterized the CovR regulatory network in a strain representative of the CC-17 hypervirulent lineage responsible of the majority of neonatal meningitis. Transcriptome and genome-wide binding analysis reveal the architecture of the CovR network characterized by the direct repression of a large array of virulence-associated genes and the extent of co-regulation at specific loci. Comparative functional analysis of the signaling network links strain-specificities to the regulation of the pan-genome, including the two specific hypervirulent adhesins and horizontally acquired genes, to mutations in CovR-regulated promoters, and to variability in CovR activation by phosphorylation. This regulatory adaptation occurs at the level of genes, promoters, and of CovR itself, and allows to globally reshape the expression of virulence genes. Overall, our results reveal the direct, coordinated, and strain-specific regulation of virulence genes by the master regulator CovR and suggest that the intra-species evolution of the signaling network is as important as the expression of specific virulence factors in the emergence of clone associated with specific diseases.

Indexed as

Gene Regulatory NetworksBacterial ProteinsChromosomes, BacterialGenes, BacterialHost-Pathogen InteractionsHumansPromoter Regions, GeneticProphagesStreptococcus agalactiaeTranscription, GeneticVirulenceVirulence FactorsBacterial ProteinsCovR protein, Streptococcus agalactiaeVirulence Factors

Identifiers

PMID34491998
PMCPMC8448333

What OpenQuestion holds

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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.