Evidence map›Paper›PMID 24174105›Full record

ArticleProceedings. Biological sciences2013

Seascape analysis reveals regional gene flow patterns among populations of a marine planktonic diatom.

Anna Godhe, Jenny Egardt, David Kleinhans, Lisa Sundqvist, Robinson Hordoir, Per R Jonsson

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
6.1field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
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  7. Biophysical models of dispersal contribute to seascape genetic analyses.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
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  13. Whole-Genome Sequence of the NovelJournal of genomics · 2018
    Article
  14. The role of intraspecific variation in the ecological and evolutionary success of diatoms in changing environments.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  15. Evidence for environmental and ecological selection in a microbe with no geographic limits to gene flow.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
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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 at 2 institutions in 2 countries.

Anna GodheDepartment of Biological and Environmental Sciences, University of Gothenburg, , PO Box 461, Gothenburg 405 30, Sweden, Department for Physics, Carl von Ossietzky University Oldenburg, , Carl-von-Ossietzky-Strasse 9, Oldenburg 26111, Germany, Department of Research and Development, Swedish Meteorological and Hydrological Institute, , Norrköping 601 76, Sweden, Department of Biological and Environmental Sciences, University of Gothenburg, , Tjärnö Marine Biological Laboratory, 452 96 Strömstad, Sweden.
Jenny Egardt
David Kleinhans
Lisa Sundqvist
Robinson Hordoir
Per R Jonsson
University of Gothenburg · SESwedish Meteorological and Hydrological Institute · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the gene flow of the common marine diatom, Skeletonema marinoi, in Scandinavian waters and tested the null hypothesis of panmixia. Sediment samples were collected from the Danish Straits, Kattegat and Skagerrak. Individual strains were established from germinated resting stages. A total of 350 individuals were genotyped by eight microsatellite markers. Conventional F-statistics showed significant differentiation between the samples. We therefore investigated whether the genetic structure could be explained using genetic models based on isolation by distance (IBD) or by oceanographic connectivity. Patterns of oceanographic circulation are seasonally dependent and therefore we estimated how well local oceanographic connectivity explains gene flow month by month. We found no significant relationship between genetic differentiation and geographical distance. Instead, the genetic structure of this dominant marine primary producer is best explained by local oceanographic connectivity promoting gene flow in a primarily south to north direction throughout the year. Oceanographic data were consistent with the significant FST values between several pairs of samples. Because even a small amount of genetic exchange prevents the accumulation of genetic differences in F-statistics, we hypothesize that local retention at each sample site, possibly as resting stages, is an important component in explaining the observed genetic structure.

Indexed as

Gene FlowDiatomsGenotypeMicrosatellite RepeatsModels, GeneticMolecular Sequence DataOceans and SeasPhylogeographyWater MovementsBacillariophyceaemicrosatellitesoceanographic connectivitySkeletonema marinoi

Identifiers

PMID24174105
PMCPMC3826216
OpenAlexW1995542464

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.