Evidence map›Paper›PMID 25690180›Full record

ArticleHeredity2015

Detecting adaptive evolution based on association with ecological gradients: orientation matters!

E Frichot, S D Schoville, P de Villemereuil, O E Gaggiotti, O François

Abstract read
In one paragraph

Article in Heredity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  6. Molecular advances to study the function, evolution and spectral tuning of arthropod visual opsins.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
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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

5 authors.

E FrichotUniversité Joseph Fourier Grenoble, Centre National de la Recherche Scientifique, TIMC-IMAG UMR 5525, Grenoble, France.
S D SchovilleUniversity of Wisconsin-Madison, Department of Entomology, Madison, WI, USA.
P de VillemereuilUniversité Joseph Fourier Grenoble, Centre National de la Recherche Scientifique, Laboratoire d'Ecologie Alpine UMR 5553, Grenoble, France.
O E Gaggiotti1] Université Joseph Fourier Grenoble, Centre National de la Recherche Scientifique, Laboratoire d'Ecologie Alpine UMR 5553, Grenoble, France [2] University of St Andrews, Scottish Oceans Institute, East Sands, St Andrews, Fife, UK.
O FrançoisUniversité Joseph Fourier Grenoble, Centre National de la Recherche Scientifique, TIMC-IMAG UMR 5525, Grenoble, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population genetic signatures of local adaptation are frequently investigated by identifying loci with allele frequencies that exhibit high correlation with ecological variables. One difficulty with this approach is that ecological associations might be confounded by geographic variation at selectively neutral loci. Here, we consider populations that underwent spatial expansion from their original range, and for which geographical variation of adaptive allele frequency coincides with habitat gradients. Using range expansion simulations, we asked whether our ability to detect genomic regions involved in adaptation could be impacted by the orientation of the ecological gradients. For three ecological association methods tested, we found, counter-intuitively, fewer false-positive associations when ecological gradients aligned along the main axis of expansion than when they aligned along any other direction. This result has important consequences for the analysis of genomic data under non-equilibrium population genetic models. Alignment of gradients with expansion axes is likely to be common in scenarios in which expanding species track their ecological niche during climate change while adapting to changing environments at their rear edge.

Indexed as

Biological EvolutionEcosystemModels, GeneticAdaptation, PhysiologicalClimate ChangeEcologyGene FrequencyGenetic LociGenotypeLinear ModelsPolymorphism, Single Nucleotide

Identifiers

PMID25690180
PMCPMC4815498

What OpenQuestion holds

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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.