Evidence map›Paper›PMID 29145803›Full record

ArticleBMC genomics2017

Unraveling the evolution and coevolution of small regulatory RNAs and coding genes in Listeria.

Franck Cerutti, Ludovic Mallet, Anaïs Painset, Claire Hoede, Annick Moisan, Christophe Bécavin, Mélodie Duval, Olivier Dussurget, Pascale Cossart, Christine Gaspin and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Origin and adaptive evolutionary trajectory of the 3' UTR-derived sRNA UhpU in Enterobacteriaceae.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Review
  3. Article
  4. The Small Non-coding RNAJournal of veterinary research · 2023
    Article
  5. Article
  6. Microorganisms · 2022
    Review
  7. Article
  8. Article
  9. Different Shades ofFrontiers in microbiology · 2021
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
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

11 authors at 6 institutions in 2 countries.

Franck CeruttiUniversité de Toulouse, INRA, UR 875 Unité Mathématiques et Informatique Appliquées de Toulouse, Auzeville, 31326, Castanet-Tolosan, France.
Ludovic MalletUniversité de Toulouse, INRA, UR 875 Unité Mathématiques et Informatique Appliquées de Toulouse, Auzeville, 31326, Castanet-Tolosan, France.
Anaïs PainsetUniversité de Toulouse, INRA, UR 875 Unité Mathématiques et Informatique Appliquées de Toulouse, Auzeville, 31326, Castanet-Tolosan, France.
Claire HoedeUniversité de Toulouse, INRA, UR 875 Unité Mathématiques et Informatique Appliquées de Toulouse, Auzeville, 31326, Castanet-Tolosan, France.
Annick MoisanUniversité de Toulouse, INRA, UR 875 Unité Mathématiques et Informatique Appliquées de Toulouse, Auzeville, 31326, Castanet-Tolosan, France.
Christophe BécavinDépartement de Biologie Cellulaire et Infection, Institut Pasteur, Unité des Interactions Bactéries-Cellules, F-75015, Paris, France.
Mélodie DuvalDépartement de Biologie Cellulaire et Infection, Institut Pasteur, Unité des Interactions Bactéries-Cellules, F-75015, Paris, France.
Olivier DussurgetDépartement de Biologie Cellulaire et Infection, Institut Pasteur, Unité des Interactions Bactéries-Cellules, F-75015, Paris, France.
Pascale CossartDépartement de Biologie Cellulaire et Infection, Institut Pasteur, Unité des Interactions Bactéries-Cellules, F-75015, Paris, France.
Christine GaspinUniversité de Toulouse, INRA, UR 875 Unité Mathématiques et Informatique Appliquées de Toulouse, Auzeville, 31326, Castanet-Tolosan, France.
Hélène ChiapelloUniversité de Toulouse, INRA, UR 875 Unité Mathématiques et Informatique Appliquées de Toulouse, Auzeville, 31326, Castanet-Tolosan, France. helene.chiapello@inra.fr.
Département Mathématiques et Informatique Appliquées · FRUniversité de Toulouse · FRInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRInstitut Pasteur · FRMathématiques et Informatique AppliquéesSorbonne Paris Cité · FR

Funding

Agence Nationale de la Recherche Investissement d'Avenir project, 10-BINF-02-01
6 · The paper itself

Abstract

backgroundSmall regulatory RNAs (sRNAs) are widely found in bacteria and play key roles in many important physiological and adaptation processes. Studying their evolution and screening for events of coevolution with other genomic features is a powerful way to better understand their origin and assess a common functional or adaptive relationship between them. However, evolution and coevolution of sRNAs with coding genes have been sparsely investigated in bacterial pathogens.

resultsWe designed a robust and generic phylogenomics approach that detects correlated evolution between sRNAs and protein-coding genes using their observed and inferred patterns of presence-absence in a set of annotated genomes. We applied this approach on 79 complete genomes of the Listeria genus and identified fifty-two accessory sRNAs, of which most were present in the Listeria common ancestor and lost during Listeria evolution. We detected significant coevolution between 23 sRNA and 52 coding genes and inferred the Listeria sRNA-coding genes coevolution network. We characterized a main hub of 12 sRNAs that coevolved with genes encoding cell wall proteins and virulence factors. Among them, an sRNA specific to L. monocytogenes species, rli133, coevolved with genes involved either in pathogenicity or in interaction with host cells, possibly acting as a direct negative post-transcriptional regulation.

conclusionsOur approach allowed the identification of candidate sRNAs potentially involved in pathogenicity and host interaction, consistent with recent findings on known pathogenicity actors. We highlight four sRNAs coevolving with seven internalin genes, some of which being important virulence factors in Listeria.

Indexed as

Evolution, MolecularBacterial ProteinsGene Regulatory NetworksGenes, BacterialGenome, BacterialListeriaRNA, Small UntranslatedBacterial ProteinsRNA, Small UntranslatedCell wallCoevolution networkInternalinListeriaPathogenicityPhylogenomicsRegulationsRNA

Identifiers

PMID29145803
PMCPMC5689173
OpenAlexW2768704091

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.