Evidence map›Paper›PMID 27920384›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2017

Antibiotic resistance in the wild: an eco-evolutionary perspective.

Teppo Hiltunen, Marko Virta, Anna-Liisa Laine

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

73 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Public health aspects ofEFSA journal. European Food Safety Authority · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Antibiotics (Basel, Switzerland) · 2023
    Article
  14. Article
  15. Article
  16. Stackelberg evolutionary game theory: how to manage evolving systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  17. Review
  18. Article
  19. Microorganisms · 2023
    Article
  20. Community interactions drive the evolution of antibiotic tolerance in bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article

13 more citing papers are in PubMed but not listed here.

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

3 authors.

Teppo HiltunenDepartment of Food and Environmental Sciences/Microbiology and Biotechnology, University of Helsinki, PO Box 65, 00014 Helsinki, Finland.ORCID 0000-0001-7206-2399
Marko VirtaDepartment of Food and Environmental Sciences/Microbiology and Biotechnology, University of Helsinki, PO Box 65, 00014 Helsinki, Finland.
Anna-Liisa LaineDepartment of Biosciences, Metapopulation Research Centre, University of Helsinki, PO Box 65, 00014 Helsinki, Finland anna-liisa.laine@helsinki.fi.ORCID 0000-0002-0703-5850

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The legacy of the use and misuse of antibiotics in recent decades has left us with a global public health crisis: antibiotic-resistant bacteria are on the rise, making it harder to treat infections. At the same time, evolution of antibiotic resistance is probably the best-documented case of contemporary evolution. To date, research on antibiotic resistance has largely ignored the complexity of interactions that bacteria engage in. However, in natural populations, bacteria interact with other species; for example, competition and grazing are import interactions influencing bacterial population dynamics. Furthermore, antibiotic leakage to natural environments can radically alter bacterial communities. Overall, we argue that eco-evolutionary feedback loops in microbial communities can be modified by residual antibiotics and evolution of antibiotic resistance. The aim of this review is to connect some of the well-established key concepts in evolutionary biology and recent advances in the study of eco-evolutionary dynamics to research on antibiotic resistance. We also identify some key knowledge gaps related to eco-evolutionary dynamics of antibiotic resistance, and review some of the recent technical advantages in molecular microbiology that offer new opportunities for tackling these questions. Finally, we argue that using the full potential of evolutionary theory and active communication across the different fields is needed for solving this global crisis more efficiently.This article is part of the themed issue 'Human influences on evolution, and the ecological and societal consequences'.

Indexed as

Biological EvolutionDrug Resistance, MicrobialAnti-Bacterial AgentsBacteriaEvolution, MolecularAnti-Bacterial Agentsantimicrobial resistanceeco-evolutionary dynamicsevolutionhorizontal gene transfermicrobial community dynamicssub-inhibitory antibiotics

Identifiers

PMID27920384
PMCPMC5182435

What OpenQuestion holds

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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.