Evidence map›Paper›PMID 30190561›Full record

ArticleHeredity2018

Environmental pleiotropy and demographic history direct adaptation under antibiotic selection.

Danna R Gifford, Rok Krašovec, Elizabeth Aston, Roman V Belavkin, Alastair Channon, Christopher G Knight

Abstract read
In one paragraph

Article in Heredity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

6 authors.

Danna R GiffordSchool of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK. danna.gifford@manchester.ac.uk.ORCID 0000-0002-4990-8816
Rok KrašovecSchool of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.ORCID 0000-0003-4490-5605
Elizabeth AstonSchool of Computing and Mathematics, Faculty of Natural Sciences, Keele University, Keele, UK.
Roman V BelavkinSchool of Science and Technology, Middlesex University, London, UK.
Alastair ChannonSchool of Computing and Mathematics, Faculty of Natural Sciences, Keele University, Keele, UK.ORCID 0000-0001-9224-4931
Christopher G KnightSchool of Earth and Environmental Sciences, Faculty of Science and Engineering, The University of Manchester, Manchester, UK.ORCID 0000-0001-9815-4267

Funding

Biotechnology and Biological Sciences Research Council BB/M020975/1Biotechnology and Biological Sciences Research Council (BBSRC) BB/M020975/1Medical Research Council MR/R024936/1Medical Research Council (MRC) MR/R024936/1
6 · The paper itself

Abstract

Evolutionary rescue following environmental change requires mutations permitting population growth in the new environment. If change is severe enough to prevent most of the population reproducing, rescue becomes reliant on mutations already present. If change is sustained, the fitness effects in both environments, and how they are associated-termed 'environmental pleiotropy'-may determine which alleles are ultimately favoured. A population's demographic history-its size over time-influences the variation present. Although demographic history is known to affect the probability of evolutionary rescue, how it interacts with environmental pleiotropy during severe and sustained environmental change remains unexplored. Here, we demonstrate how these factors interact during antibiotic resistance evolution, a key example of evolutionary rescue fuelled by pre-existing mutations with pleiotropic fitness effects. We combine published data with novel simulations to characterise environmental pleiotropy and its effects on resistance evolution under different demographic histories. Comparisons among resistance alleles typically revealed no correlation for fitness-i.e., neutral pleiotropy-above and below the sensitive strain's minimum inhibitory concentration. Resistance allele frequency following experimental evolution showed opposing correlations with their fitness effects in the presence and absence of antibiotic. Simulations demonstrated that effects of environmental pleiotropy on allele frequencies depended on demographic history. At the population level, the major influence of environmental pleiotropy was on mean fitness, rather than the probability of evolutionary rescue or diversity. Our work suggests that determining both environmental pleiotropy and demographic history is critical for predicting resistance evolution, and we discuss the practicalities of this during in vivo evolution.

Indexed as

EnvironmentAdaptation, PhysiologicalAllelesAnti-Bacterial AgentsDose-Response Relationship, DrugDrug Resistance, BacterialEscherichia coliEvolution, MolecularGenes, BacterialAnti-Bacterial Agents

Identifiers

PMID30190561
PMCPMC6180006

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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.