Evidence map›Paper›PMID 25857931›Full record

ArticleBMC biology2015

Population genomic evidence for adaptive differentiation in Baltic Sea three-spined sticklebacks.

Baocheng Guo, Jacquelin DeFaveri, Graciela Sotelo, Abhilash Nair, Juha Merilä

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
15.3field-weighted citation impact, top 1% of its field
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

44 citing papers in PubMed, 142 citations in OpenAlex.

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  12. Threespine Stickleback: A Model System For Evolutionary Genomics.Annual review of genomics and human genetics · 2021
    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 at 1 institution in 2 countries.

Baocheng Guo
Jacquelin DeFaveri
Graciela Sotelo
Abhilash Nair
Juha Merilä
University of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe degree of genetic differentiation among populations experiencing high levels of gene flow is expected to be low for neutral genomic sites, but substantial divergence can occur in sites subject to directional selection. Studies of highly mobile marine fish populations provide an opportunity to investigate this kind of heterogeneous genomic differentiation, but most studies to this effect have focused on a relatively low number of genetic markers and/or few populations. Hence, the patterns and extent of genomic divergence in high-gene flow marine fish populations remain poorly understood.

resultsWe here investigated genome-wide patterns of genetic variability and differentiation in 10 marine populations of three-spined stickleback (Gasterosteus aculeatus) distributed across a steep salinity and temperature gradient in the Baltic Sea, by utilizing > 30,000 single nucleotide polymorphisms obtained with a pooled RAD-seq approach. We found that genetic diversity and differentiation varied widely across the genome, and identified numerous fairly narrow genomic regions exhibiting signatures of both divergent and balancing selection. Evidence was uncovered for substantial genetic differentiation associated with both salinity and temperature gradients, and many candidate genes associated with local adaptation in the Baltic Sea were identified.

conclusionsThe patterns of genetic diversity and differentiation, as well as candidate genes associated with adaptation in Baltic Sea sticklebacks were similar to those observed in earlier comparisons between marine and freshwater populations, suggesting that similar processes may be driving adaptation to brackish and freshwater environments. Taken together, our results provide strong evidence for heterogenic genomic divergence driven by local adaptation in the face of gene flow along an environmental gradient in the post-glacially formed Baltic Sea.

Indexed as

Genetics, PopulationGenomeOceans and SeasAdaptation, PhysiologicalAnimalsDatabases, GeneticGene OntologyGenetic Association StudiesGeographyPolymorphism, Single NucleotideRestriction MappingSequence Analysis, DNASmegmamorpha

Identifiers

PMID25857931
PMCPMC4410466
OpenAlexW2089227843

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LicenceCC BY
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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.