Evidence map›Paper›PMID 29643216›Full record

ArticleProceedings. Biological sciences2018

Feedback between environment and traits under selection in a seasonal environment: consequences for experimental evolution.

Dorian Collot, Thibault Nidelet, Johan Ramsayer, Olivier C Martin, Sylvie Méléard, Christine Dillmann, Delphine Sicard, Judith Legrand

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

8 authors.

Dorian CollotGQE-Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France.ORCID 0000-0002-6072-8429
Thibault NideletSPO, Inra, Univ. Montpellier, Montpellier, SupAgro, Montpellier, France.
Johan RamsayerGQE-Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France.
Olivier C MartinGQE-Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France.
Sylvie MéléardCMAP, Ecole Polytechnique, CNRS, Palaiseau, France.
Christine DillmannGQE-Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France.
Delphine SicardSPO, Inra, Univ. Montpellier, Montpellier, SupAgro, Montpellier, France.
Judith LegrandGQE-Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France judith.legrand@inra.fr.ORCID 0000-0001-5157-9268

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Batch cultures are frequently used in experimental evolution to study the dynamics of adaptation. Although they are generally considered to simply drive a growth rate increase, other fitness components can also be selected for. Indeed, recurrent batches form a seasonal environment where different phases repeat periodically and different traits can be under selection in the different seasons. Moreover, the system being closed, organisms may have a strong impact on the environment. Thus, the study of adaptation should take into account the environment and eco-evolutionary feedbacks. Using data from an experimental evolution on yeast

Indexed as

Adaptation, PhysiologicalBiological EvolutionEcosystemBatch Cell Culture TechniquesEthanolModels, TheoreticalSaccharomyces cerevisiaeSeasonsSelection, GeneticEthanolfitness componentslife-history traits evolutionmathematical modellingseasonal environment

Identifiers

PMID29643216
PMCPMC5904321

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.