Evidence map›Paper›PMID 40491268›Full record

ArticleMolecular ecology2025

Genome-Wide Adaptation to a Complex Environmental Gradient in a Keystone Phytoplankton Species.

Eveline Pinseel, Elizabeth C Ruck, Teofil Nakov, Per R Jonsson, Olga Kourtchenko, Anke Kremp, Matthew I M Pinder, Wade R Roberts, Conny Sjöqvist, Mats Töpel and 3 more

Abstract read
In one paragraph

Article in Molecular ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Four NewPlants (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Article
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

13 authors.

Eveline PinseelDepartment of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA.ORCID 0000-0002-1801-2187
Elizabeth C RuckDepartment of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA.
Teofil NakovDepartment of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA.
Per R JonssonDepartment of Marine Sciences, Tjärnö Marine Laboratory, University of Gothenburg, Strömstad, Sweden.
Olga KourtchenkoDepartment of Marine Sciences, Tjärnö Marine Laboratory, University of Gothenburg, Strömstad, Sweden.
Anke KrempLeibniz-Institute for Baltic Sea Research Warnemuende, Rostock, Germany.
Matthew I M PinderDepartment of Marine Sciences, Tjärnö Marine Laboratory, University of Gothenburg, Strömstad, Sweden.ORCID 0000-0003-4407-0214
Wade R RobertsDepartment of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA.
Conny SjöqvistFaculty of Science and Engineering, Åbo Akademi University, Turku, Finland.
Mats TöpelLaboratory of Protistology & Aquatic Ecology, Department of Biology, Ghent University, Ghent, Belgium.ORCID 0000-0001-7989-696X
Anna GodheDepartment of Marine Sciences, Tjärnö Marine Laboratory, University of Gothenburg, Strömstad, Sweden.
Matthew W HahnDepartment of Biology and Department of Computer Science, Indiana University, Bloomington, Indiana, USA.
Andrew J AlversonDepartment of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA.ORCID 0000-0003-1241-2654

Funding

Fonds Wetenschappelijk Onderzoek 1221323NNational Science Foundation 1651087National Science Foundation DBI-2146866Simons Foundation 403249Simons Foundation 725407
6 · The paper itself

Abstract

Marine phytoplankton play essential roles in global primary production and biogeochemical cycles. Yet, the evolutionary genetic underpinnings of phytoplankton adaptation to complex marine and coastal environments, where many environmental variables fluctuate and interact, remain unclear. We combined population genomics with experimental transcriptomics to investigate the genomic basis underlying a natural evolutionary experiment that has played out over the past 8000 years in one of the world's largest brackish water bodies: the colonisation of the Baltic Sea by the ancestrally marine diatom Skeletonema marinoi. To this end, we combined target capture of the entire nuclear genome with pooled shotgun sequencing, and showed that the method performs well on both cultures and single cells. Genotype-environment association analyses identified > 1000 genes with signals of selection in response to major environmental gradients in the Baltic Sea, which apart from salinity, include marked differences in temperature and nutrient supply. Locally adapted genes were related to diverse metabolic processes, including signal transduction, cell cycle, DNA methylation and maintenance of homeostasis. The locally adapted genes showed significant overlap with salinity-responsive genes identified in a laboratory common garden experiment, suggesting the Baltic salinity gradient contributes to local adaptation of S. marinoi. Taken together, our data show that local adaptation of phytoplankton to complex coastal environments, which are characterised by a multitude of environmental gradients, is driven by widespread changes in diverse metabolic pathways and functions.

Indexed as

Adaptation, PhysiologicalDiatomsPhytoplanktonGenetics, PopulationGenomicsSalinityTranscriptomeBaltic Seadiatompopulation genomicssalinitytranscriptomics

Identifiers

PMID40491268
PMCPMC12186713

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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.