Evidence map›Paper›PMID 33493203›Full record

ArticlePLoS genetics2021

Adaptation is influenced by the complexity of environmental change during evolution in a dynamic environment.

Sébastien Boyer, Lucas Hérissant, Gavin Sherlock

Abstract read
In one paragraph

Article in PLoS genetics, 2021. 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. Article
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  12. Barcoding Populations of Pseudomonas fluorescens SBW25.Journal of molecular evolution · 2023
    Article
  13. Article
  14. Review
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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

3 authors.

Sébastien BoyerDepartment of Genetics, Stanford University, Stanford, California, United States of America.ORCID 0000-0003-0248-2915
Lucas HérissantDepartment of Genetics, Stanford University, Stanford, California, United States of America.ORCID 0000-0003-0065-5608
Gavin SherlockDepartment of Genetics, Stanford University, Stanford, California, United States of America.ORCID 0000-0002-1692-4983

Funding

Multisizer 4e - equipment for "Fitness Effects of Beneficial Mutations"R35GM131824 · NIGMS · STANFORD UNIVERSITY · PI Gavin J Sherlock · 2019 to 2026
$3.6M
Systematic Molecular Analysis of Antagonistic PleiotropyR01GM110275 · NIGMS · STANFORD UNIVERSITY · PI SHERLOCK, GAVIN J · 2014 to 2017
$1.6M
NIGMS NIH HHS R01 GM110275NIGMS NIH HHS R35 GM131824
6 · The paper itself

Abstract

The environmental conditions of microorganisms' habitats may fluctuate in unpredictable ways, such as changes in temperature, carbon source, pH, and salinity to name a few. Environmental heterogeneity presents a challenge to microorganisms, as they have to adapt not only to be fit under a specific condition, but they must also be robust across many conditions and be able to deal with the switch between conditions itself. While experimental evolution has been used to gain insight into the adaptive process, this has largely been in either unvarying or consistently varying conditions. In cases where changing environments have been investigated, relatively little is known about how such environments influence the dynamics of the adaptive process itself, as well as the genetic and phenotypic outcomes. We designed a systematic series of evolution experiments where we used two growth conditions that have differing timescales of adaptation and varied the rate of switching between them. We used lineage tracking to follow adaptation, and whole genome sequenced adaptive clones from each of the experiments. We find that both the switch rate and the order of the conditions influences adaptation. We also find different adaptive outcomes, at both the genetic and phenotypic levels, even when populations spent the same amount of total time in the two different conditions, but the order and/or switch rate differed. Thus, in a variable environment adaptation depends not only on the nature of the conditions and phenotypes under selection, but also on the complexity of the manner in which those conditions are combined to result in a given dynamic environment.

Indexed as

Biological EvolutionDNA Barcoding, TaxonomicAcclimatizationAdaptation, PhysiologicalCluster AnalysisGenetic VariationGenome, FungalGlycerolPhenotypePrincipal Component AnalysisSaccharomyces cerevisiaeSelection, GeneticGlycerol

Identifiers

PMID33493203
PMCPMC7861553

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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.