Evidence map›Paper›PMID 34312522›Full record

ArticleNature ecology & evolution2021

Bottleneck size and selection level reproducibly impact evolution of antibiotic resistance.

Niels Mahrt, Alexandra Tietze, Sven Künzel, Sören Franzenburg, Camilo Barbosa, Gunther Jansen, Hinrich Schulenburg

Open access · hybridAbstract read
In one paragraph

Article in Nature ecology & evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
9.4field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 75 citations in OpenAlex.

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  11. Experimental evolution ofMicrobiology spectrum · 2025
    Article
  12. From Metagenomes to Functional Expression of Resistance:Antibiotics (Basel, Switzerland) · 2025
    Article
  13. The Secondary Resistome of Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2025
    Article
  14. Article
  15. Bacteria and host: what does this mean for sepsis bottleneck?World journal of emergency medicine · 2025
    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

7 authors at 3 institutions in 2 countries.

Niels MahrtEvolutionary Ecology and Genetics, Department of Zoology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Alexandra TietzeEvolutionary Ecology and Genetics, Department of Zoology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Sven KünzelDepartment of Evolutionary Genetics, Max-Planck-Institute for Evolutionary Biology, Plön, Germany.
Sören FranzenburgGenetics and Bioinformatics, Department of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany.ORCID http://orcid.org/0000-0001-6374-4910
Camilo BarbosaEvolutionary Ecology and Genetics, Department of Zoology, Christian-Albrechts-University of Kiel, Kiel, Germany.ORCID http://orcid.org/0000-0003-0433-9311
Gunther JansenEvolutionary Ecology and Genetics, Department of Zoology, Christian-Albrechts-University of Kiel, Kiel, Germany.
Hinrich SchulenburgEvolutionary Ecology and Genetics, Department of Zoology, Christian-Albrechts-University of Kiel, Kiel, Germany. hschulenburg@zoologie.uni-kiel.de.ORCID http://orcid.org/0000-0002-1413-913X
Christian-Albrechts-Universität zu Kiel · DEMax Planck Institute for Evolutionary Biology · DEUniversity of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During antibiotic treatment, the evolution of bacterial pathogens is fundamentally affected by bottlenecks and varying selection levels imposed by the drugs. Bottlenecks-that is, reductions in bacterial population size-lead to an increased influence of random effects (genetic drift) during bacterial evolution, and varying antibiotic concentrations during treatment may favour distinct resistance variants. Both aspects influence the process of bacterial evolution during antibiotic therapy and thereby treatment outcome. Surprisingly, the joint influence of these interconnected factors on the evolution of antibiotic resistance remains largely unexplored. Here we combine evolution experiments with genomic and genetic analyses to demonstrate that bottleneck size and antibiotic-induced selection reproducibly impact the evolutionary path to resistance in pathogenic Pseudomonas aeruginosa, one of the most problematic opportunistic human pathogens. Resistance is favoured-expectedly-under high antibiotic selection and weak bottlenecks, but-unexpectedly-also under low antibiotic selection and severe bottlenecks. The latter is likely to result from a reduced probability of losing favourable variants through drift under weak selection. Moreover, the absence of high resistance under low selection and weak bottlenecks is caused by the spread of low-resistance variants with high competitive fitness under these conditions. We conclude that bottlenecks, in combination with drug-induced selection, are currently neglected key determinants of pathogen evolution and outcome of antibiotic treatment.

Indexed as

Anti-Bacterial AgentsPseudomonas aeruginosaBacteriaDrug Resistance, MicrobialHumansAnti-Bacterial Agents

Identifiers

PMID34312522
PMCPMC8390372
OpenAlexW3185768166

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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.