Evidence map›Paper›PMID 27108090›Full record

ArticleBMC evolutionary biology2016

Contrasting effects of historical contingency on phenotypic and genomic trajectories during a two-step evolution experiment with bacteria.

Jessica Plucain, Antonia Suau, Stéphane Cruveiller, Claudine Médigue, Dominique Schneider, Mickaël Le Gac

Abstract readComparative Study
In one paragraph

Article in BMC evolutionary biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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.

Jessica PlucainUniv. Grenoble Alpes, Laboratoire Technologies de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications (TIMC-IMAG), F-38000, Grenoble, France.
Antonia SuauUniv. Grenoble Alpes, Laboratoire Technologies de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications (TIMC-IMAG), F-38000, Grenoble, France.
Stéphane CruveillerDirection des Sciences du Vivant, CEA, Institut de Génomique, Genoscope & CNRS-UMR8030, Évry, France.
Claudine MédigueDirection des Sciences du Vivant, CEA, Institut de Génomique, Genoscope & CNRS-UMR8030, Évry, France.
Dominique SchneiderUniv. Grenoble Alpes, Laboratoire Technologies de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications (TIMC-IMAG), F-38000, Grenoble, France.
Mickaël Le GacUniv. Grenoble Alpes, Laboratoire Technologies de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications (TIMC-IMAG), F-38000, Grenoble, France. Mickael.Le.Gac@ifremer.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe impact of historical contingency, i.e. the past evolutionary history of a population, on further adaptation is mostly unknown at both the phenotypic and genomic levels. We addressed this question using a two-step evolution experiment. First, replicate populations of Escherichia coli were propagated in four different environmental conditions for 1000 generations. Then, all replicate populations were transferred and propagated for further 1000 generations to a single new environment.

resultsUsing this two-step experimental evolution strategy, we investigated, at both the phenotypic and genomic levels, whether and how adaptation in the initial historical environments impacted evolutionary trajectories in a new environment. We showed that both the growth rate and fitness of the evolved populations obtained after the second step of evolution were contingent upon past evolutionary history. In contrast however, the genes that were modified during the second step of evolution were independent from the previous history of the populations.

conclusionsOur work suggests that historical contingency affects phenotypic adaptation to a new environment. This was however not reflected at the genomic level implying complex relationships between environmental factors and the genotype-to-phenotype map.

Indexed as

Adaptation, PhysiologicalEnvironmentEscherichia coliEvolution, MolecularGene-Environment InteractionGenome, BacterialPhenotypeAdaptationEpistasisEscherichia coliExperimental evolutionHistorical contingency

Identifiers

PMID27108090
PMCPMC4841947

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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.