Evidence map›Paper›PMID 30816246›Full record

ArticleScientific reports2019

Environmental structure drives resistance to phages and antibiotics during phage therapy and to invading lysogens during colonisation.

Jorge A Moura de Sousa, Eduardo P C Rocha

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Metapopulation model of phage therapy of an acutebioRxiv : the preprint server for biology · 2024
    Article
  6. Article
  7. Review
  8. Article
  9. Selfish, promiscuous and sometimes useful: how mobile genetic elements drive horizontal gene transfer in microbial populations.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Phage therapy as a revolutionary medicine against Gram-positive bacterial infections.Beni-Suef University journal of basic and applied sciences · 2021
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

2 authors.

Jorge A Moura de SousaMicrobial Evolutionary Genomics, Institut Pasteur, CNRS, UMR3525, Paris, 75015, France. jorge-andre.sousa@pasteur.fr.
Eduardo P C RochaMicrobial Evolutionary Genomics, Institut Pasteur, CNRS, UMR3525, Paris, 75015, France.ORCID 0000-0001-7704-822X

Funding

European Research Council 281605
6 · The paper itself

Abstract

Microbial communities are shaped by bacteriophages through predation and lysogeny. A better understanding of the interactions between these processes across different types of environments is key to elucidate how phages mediate microbial competition and to design efficient phage therapies. We introduce an individual-based model (eVIVALDI) to investigate the role of environmental structure in the elimination of a population with a combined treatment of antibiotics and virulent phages, and in the invasion of a population of phage-sensitive bacteria by lysogens. We show that structured environments facilitate the emergence of double resistance, to antibiotics and phages, due to limited diffusion of phage particles and increased nutrient availability from dead cells. They also hinder phage amplification, thus decreasing the generation of phage genetic diversity and increasing the unpredictability of phage-bacteria arms-races. We used a machine learning approach to determine the variables most important for the invasion of sensitive populations by lysogens. They revealed that phage-associated traits and environmental structure are the key drivers of the process. Structured environments hinder invasions, and accounting for their existence improves the fit of the model to published in vivo experimental data. Our results underline environmental structure as key to understand in vivo phage-bacteria interactions.

Indexed as

Anti-Bacterial AgentsBacteriaBacteriophagesCellular MicroenvironmentDrug Resistance, BacterialEscherichia coliGenetic VariationHost-Pathogen InteractionsHumansLysogenyMicrobiotaPhage TherapyAnti-Bacterial Agents

Identifiers

PMID30816246
PMCPMC6395636

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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.