Evidence map›Paper›PMID 25892181›Full record

ArticleMolecular ecology2015

Local adaptation and oceanographic connectivity patterns explain genetic differentiation of a marine diatom across the North Sea-Baltic Sea salinity gradient.

C Sjöqvist, A Godhe, P R Jonsson, L Sundqvist, A Kremp

Open access · hybridAbstract read
In one paragraph

Article in Molecular ecology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
8.6field-weighted citation impact, top 2% 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, 1 synthesis or guideline pooled it, 142 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Methods to estimate marine functional connectivity: A primer.Ecological applications : a publication of the Ecological Society of America · 2026
    Review
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  16. Oceanographic connectivity explains the intra-specific diversity of mangrove forests at global scales.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

5 authors at 3 institutions in 2 countries.

C SjöqvistEnvironmental and Marine Biology, Åbo Akademi University, Artillerigatan 6, 20520, Åbo, Finland.
A GodheDepartment of Biological and Environmental Sciences, University of Gothenburg, PB 461, SE 40530, Göteborg, Sweden.
P R JonssonDepartment of Biological and Environmental Sciences - Tjärnö, University of Gothenburg, SE 45296, Strömstad, Sweden.
L SundqvistDepartment of Biological and Environmental Sciences, University of Gothenburg, PB 461, SE 40530, Göteborg, Sweden.
A KrempFinnish Environmental Institute/Marine Research Centre, PB 140, 00251, Helsinki, Finland.
University of Gothenburg · SEÅbo Akademi University · FIFinnish Environment Institute · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drivers of population genetic structure are still poorly understood in marine micro-organisms. We exploited the North Sea-Baltic Sea transition for investigating the seascape genetics of a marine diatom, Skeletonema marinoi. Eight polymorphic microsatellite loci were analysed in 354 individuals from ten locations to analyse population structure of the species along a 1500-km-long salinity gradient ranging from 3 to 30 psu. To test for salinity adaptation, salinity reaction norms were determined for sets of strains originating from three different salinity regimes of the gradient. Modelled oceanographic connectivity was compared to directional relative migration by correlation analyses to examine oceanographic drivers. Population genetic analyses showed distinct genetic divergence of a low-salinity Baltic Sea population and a high-salinity North Sea population, coinciding with the most evident physical dispersal barrier in the area, the Danish Straits. Baltic Sea populations displayed reduced genetic diversity compared to North Sea populations. Growth optima of low salinity isolates were significantly lower than those of strains from higher native salinities, indicating local salinity adaptation. Although the North Sea-Baltic Sea transition was identified as a barrier to gene flow, migration between Baltic Sea and North Sea populations occurred. However, the presence of differentiated neutral markers on each side of the transition zone suggests that migrants are maladapted. It is concluded that local salinity adaptation, supported by oceanographic connectivity patterns creating an asymmetric migration pattern between the Baltic Sea and the North Sea, determines genetic differentiation patterns in the transition zone.

Indexed as

Genetics, PopulationSalinityAdaptation, PhysiologicalDiatomsGene FlowGenetic VariationGenotypeMicrosatellite RepeatsMolecular Sequence DataNorth SeaOceanographySequence Analysis, DNAlocal adaptationmarine phytoplanktonoceanographic connectivitypopulation genetics

Identifiers

PMID25892181
PMCPMC4692096
OpenAlexW2136133987

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.