Evidence map›Paper›PMID 29628266›Full record

ArticleTrends in ecology & evolution2018

The Missing Response to Selection in the Wild.

Benoit Pujol, Simon Blanchet, Anne Charmantier, Etienne Danchin, Benoit Facon, Pascal Marrot, Fabrice Roux, Ivan Scotti, Céline Teplitsky, Caroline E Thomson and 1 more

Abstract read
In one paragraph

Article in Trends in ecology & evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  8. Unmeasured prior viability selection resolves the paradox of stasis for body size in wild Soay sheep.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Quantitative genetics of microbiome-mediated traits.Evolution; international journal of organic evolution · 2025
    Article
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  15. Article
  16. Joining forces to push past paradoxes: Combining quantitative genetics and genomics shows evolution hiding in plain sight.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  17. Microevolutionary change in wild stickleback: Using integrative time-series data to infer responses to selection.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

11 authors.

Benoit PujolLaboratoire Évolution & Diversité Biologique (EDB UMR 5174), Université Fédérale de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, 31062 Toulouse, France; Groupement de Recherche de l'Institut Ecologie et Environnement 6448, Génétique Quantitative dans les Populations Naturelles (GQPN), c/o EDB, 31062 Toulouse, France. Electronic address: benoit.pujol@univ-tlse3.fr.
Simon BlanchetLaboratoire Évolution & Diversité Biologique (EDB UMR 5174), Université Fédérale de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, 31062 Toulouse, France; Station d'Ecologie Théorique Expérimentale (SETE), CNRS UMR 5321, Université Paul Sabatier, 09200 Moulis, France; Groupement de Recherche de l'Institut Ecologie et Environnement 6448, Génétique Quantitative dans les Populations Naturelles (GQPN), c/o EDB, 31062 Toulouse, France.
Anne CharmantierCentre d'Ecologie Fonctionnelle et Evolutive (CEFE), CNRS UMR 5175, 34293 Montpellier, France; Département des Sciences Biologiques, Université du Québec à Montréal, CP 888 Succursale Centre-Ville, H3P 3P8 QC, Canada; Groupement de Recherche de l'Institut Ecologie et Environnement 6448, Génétique Quantitative dans les Populations Naturelles (GQPN), c/o EDB, 31062 Toulouse, France.
Etienne DanchinLaboratoire Évolution & Diversité Biologique (EDB UMR 5174), Université Fédérale de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, 31062 Toulouse, France; Groupement de Recherche de l'Institut Ecologie et Environnement 6448, Génétique Quantitative dans les Populations Naturelles (GQPN), c/o EDB, 31062 Toulouse, France.
Benoit FaconUMR Peuplements Végétaux et Bioagresseurs en Milieu Tropical (PVBMT), Institut National de la Recherche Agronomique (INRA), Saint Pierre, Réunion, France; Groupement de Recherche de l'Institut Ecologie et Environnement 6448, Génétique Quantitative dans les Populations Naturelles (GQPN), c/o EDB, 31062 Toulouse, France.
Pascal MarrotLaboratoire Évolution & Diversité Biologique (EDB UMR 5174), Université Fédérale de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, 31062 Toulouse, France; Groupement de Recherche de l'Institut Ecologie et Environnement 6448, Génétique Quantitative dans les Populations Naturelles (GQPN), c/o EDB, 31062 Toulouse, France.
Fabrice RouxLaboratoire des Interactions Plantes-Microorganismes (LIPM), INRA, CNRS, Université de Toulouse, 31326 Castanet-Tolosan, France; Groupement de Recherche de l'Institut Ecologie et Environnement 6448, Génétique Quantitative dans les Populations Naturelles (GQPN), c/o EDB, 31062 Toulouse, France.
Ivan ScottiINRA Unité de Recherche 0629 Ecologie des Forêts Méditerranéennes, 84914 Avignon, France; Groupement de Recherche de l'Institut Ecologie et Environnement 6448, Génétique Quantitative dans les Populations Naturelles (GQPN), c/o EDB, 31062 Toulouse, France.
Céline TeplitskyCentre d'Ecologie Fonctionnelle et Evolutive (CEFE), CNRS UMR 5175, 34293 Montpellier, France; Muséum National d'Histoire Naturelle, CNRS UMR 7204 Centre d'Écologie et des Sciences de la Conservation (CESCO), 75005 Paris, France; Groupement de Recherche de l'Institut Ecologie et Environnement 6448, Génétique Quantitative dans les Populations Naturelles (GQPN), c/o EDB, 31062 Toulouse, France.
Caroline E ThomsonLaboratoire Évolution & Diversité Biologique (EDB UMR 5174), Université Fédérale de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, 31062 Toulouse, France; Groupement de Recherche de l'Institut Ecologie et Environnement 6448, Génétique Quantitative dans les Populations Naturelles (GQPN), c/o EDB, 31062 Toulouse, France.
Isabel WinneyLaboratoire Évolution & Diversité Biologique (EDB UMR 5174), Université Fédérale de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, 31062 Toulouse, France; Groupement de Recherche de l'Institut Ecologie et Environnement 6448, Génétique Quantitative dans les Populations Naturelles (GQPN), c/o EDB, 31062 Toulouse, France.

Funding

European Research Council 337365
6 · The paper itself

Abstract

Although there are many examples of contemporary directional selection, evidence for responses to selection that match predictions are often missing in quantitative genetic studies of wild populations. This is despite the presence of genetic variation and selection pressures - theoretical prerequisites for the response to selection. This conundrum can be explained by statistical issues with accurate parameter estimation, and by biological mechanisms that interfere with the response to selection. These biological mechanisms can accelerate or constrain this response. These mechanisms are generally studied independently but might act simultaneously. We therefore integrated these mechanisms to explore their potential combined effect. This has implications for explaining the apparent evolutionary stasis of wild populations and the conservation of wildlife.

Indexed as

Biological EvolutionConservation of Natural ResourcesGenetic VariationSelection, GeneticAnimalsAnimals, Wildevolutionary potentialfitness-related traitsgenetic variationheritabilitymicroevolutionary stasis

Identifiers

PMID29628266
PMCPMC5937857

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.