Evidence map›Paper›PMID 27077007›Full record

ArticlePeerJ2016

Reconstructing the demographic history of divergence between European river and brook lampreys using approximate Bayesian computations.

Quentin Rougemont, Camille Roux, Samuel Neuenschwander, Jérôme Goudet, Sophie Launey, Guillaume Evanno

Abstract read
In one paragraph

Article in PeerJ, 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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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  8. Domestication of cattle: Two or three events?Evolutionary applications · 2019
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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.

Quentin RougemontUMR 985 Ecologie et Santé des Ecosystèmes, Institut National de la Recherche Agronomique, Rennes, France; UMR 985 Ecologie et Santé des Ecosystèmes, Agrocampus Ouest, Rennes, France.
Camille RouxDepartment of Ecology and Evolution, Université de Lausanne , Lausanne , Switzerland.
Samuel NeuenschwanderDepartment of Ecology and Evolution, Université de Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Vital-IT, Lausanne, Switzerland.
Jérôme GoudetDepartment of Ecology and Evolution, Université de Lausanne , Lausanne , Switzerland.
Sophie LauneyUMR 985 Ecologie et Santé des Ecosystèmes, Institut National de la Recherche Agronomique, Rennes, France; UMR 985 Ecologie et Santé des Ecosystèmes, Agrocampus Ouest, Rennes, France.
Guillaume EvannoUMR 985 Ecologie et Santé des Ecosystèmes, Institut National de la Recherche Agronomique, Rennes, France; UMR 985 Ecologie et Santé des Ecosystèmes, Agrocampus Ouest, Rennes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inferring the history of isolation and gene flow during species divergence is a central question in evolutionary biology. The European river lamprey (Lampetra fluviatilis) and brook lamprey (L. planeri) show a low reproductive isolation but have highly distinct life histories, the former being parasitic-anadromous and the latter non-parasitic and freshwater resident. Here we used microsatellite data from six replicated population pairs to reconstruct their history of divergence using an approximate Bayesian computation framework combined with a random forest model. In most population pairs, scenarios of divergence with recent isolation were outcompeted by scenarios proposing ongoing gene flow, namely the Secondary Contact (SC) and Isolation with Migration (IM) models. The estimation of demographic parameters under the SC model indicated a time of secondary contact close to the time of speciation, explaining why SC and IM models could not be discriminated. In case of an ancient secondary contact, the historical signal of divergence is lost and neutral markers converge to the same equilibrium as under the less parameterized model allowing ongoing gene flow. Our results imply that models of secondary contacts should be systematically compared to models of divergence with gene flow; given the difficulty to discriminate among these models, we suggest that genome-wide data are needed to adequately reconstruct divergence history.

Indexed as

Approximate Bayesian computationDivergence historyGene flowLampetra fluviatilisLampetra planeriRandom forestSpeciation

Identifiers

PMID27077007
PMCPMC4830234

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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.