Evidence map›Paper›PMID 29467260›Full record

ArticleProceedings. Biological sciences2018

Clownfishes evolution below and above the species level.

Jonathan Rolland, Daniele Silvestro, Glenn Litsios, Laurélène Faye, Nicolas Salamin

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Host use drives convergent evolution in clownfish.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
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  12. 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

5 authors.

Jonathan RollandDepartment of Computational Biology, University of Lausanne, Biophore, Quartier-Sorge, 1015 Lausanne, Switzerland jonathan.rolland@yahoo.fr.ORCID 0000-0002-7141-0870
Daniele SilvestroDepartment of Computational Biology, University of Lausanne, Biophore, Quartier-Sorge, 1015 Lausanne, Switzerland.ORCID 0000-0003-0100-0961
Glenn LitsiosDepartment of Computational Biology, University of Lausanne, Biophore, Quartier-Sorge, 1015 Lausanne, Switzerland.
Laurélène FayeDepartment of Computational Biology, University of Lausanne, Biophore, Quartier-Sorge, 1015 Lausanne, Switzerland.
Nicolas SalaminDepartment of Computational Biology, University of Lausanne, Biophore, Quartier-Sorge, 1015 Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The difference between rapid morphological evolutionary changes observed in populations and the long periods of stasis detected in the fossil record has raised a decade-long debate about the exact role played by intraspecific mechanisms at the interspecific level. Although they represent different scales of the same evolutionary process, micro- and macroevolution are rarely studied together and few empirical studies have compared the rates of evolution and the selective pressures between both scales. Here, we analyse morphological, genetic and ecological traits in clownfishes at different evolutionary scales and demonstrate that the tempo of molecular and morphological evolution at the species level can be, to some extent, predicted from parameters estimated below the species level, such as the effective population size or the rate of evolution within populations. We also show that similar codons in the gene of the rhodopsin

Indexed as

Biological EvolutionSelection, GeneticAnimalsEvolution, MolecularFish ProteinsPerciformesPhylogenyPopulation DensityRhodopsinSequence Analysis, DNAFish ProteinsRhodopsininterspecificintraspecificmacroevolutionmicroevolutionpositive selectionRH1

Identifiers

PMID29467260
PMCPMC5832698

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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.