Evidence map›Paper›PMID 27466449›Full record

ArticleProceedings. Biological sciences2016

Divergent evolution peaks under intermediate population bottlenecks during bacterial experimental evolution.

Tom Vogwill, Robyn L Phillips, Danna R Gifford, R Craig MacLean

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  12. Genomic basis of parallel adaptation varies with divergence inProceedings of the National Academy of Sciences of the United States of America · 2021
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  19. Evolutionary Rescue of an EnvironmentalFrontiers in microbiology · 2020
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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

4 authors.

Tom VogwillDepartment of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK t.vogwill@imperial.ac.uk.ORCID 0000-0003-1044-6623
Robyn L PhillipsDepartment of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK.
Danna R GiffordDepartment of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK.
R Craig MacLeanDepartment of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK craig.maclean@zoo.ox.ac.uk.

Funding

European Research Council 281591
6 · The paper itself

Abstract

There is growing evidence that parallel molecular evolution is common, but its causes remain poorly understood. Demographic parameters such as population bottlenecks are predicted to be major determinants of parallelism. Here, we test the hypothesis that bottleneck intensity shapes parallel evolution by elucidating the genomic basis of adaptation to antibiotic-supplemented media in hundreds of populations of the bacterium Pseudomonas fluorescens Pf0-1. As expected, bottlenecking decreased the rate of phenotypic and molecular adaptation. Surprisingly, bottlenecking had no impact on the likelihood of parallel adaptive molecular evolution at a genome-wide scale. However, bottlenecking had a profound impact on the genes involved in antibiotic resistance. Specifically, under either intense or weak bottlenecking, resistance predominantly evolved by strongly beneficial mutations which provide high levels of antibiotic resistance. In contrast with intermediate bottlenecking regimes, resistance evolved by a greater diversity of genetic mechanisms, significantly reducing the observed levels of parallel genetic evolution. Our results demonstrate that population bottlenecking can be a major predictor of parallel evolution, but precisely how may be more complex than many simple theoretical predictions.

Indexed as

Evolution, MolecularAdaptation, PhysiologicalDrug Resistance, MicrobialMutationPhenotypePseudomonas fluorescensevolutionary rescueexperimental evolutiongenome sequencingparallel evolutionpopulation bottlenecks

Identifiers

PMID27466449
PMCPMC4971204

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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.