Evidence map›Paper›PMID 42663304›Full record

ArticleMolecular ecology2026

Adaptive Variation Amid High Gene Flow Across a Broad Latitudinal Gradient in the Reef-Building Honeycomb Worm, Sabellaria alveolata.

Edward J Wilson, Antony M Knights, Louise B Firth, Charlotte Corporeau, Amelia Curd, Stanislas F Dubois, Fernando P Lima, Rui Seabra, Flavia L D Nunes

Abstract read
In one paragraph

Article in Molecular ecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Edward J WilsonSchool of Biological and Marine Sciences, University of Plymouth, Plymouth, UK.ORCID https://orcid.org/0009-0009-3249-0386
Antony M KnightsSchool of Biological and Marine Sciences, University of Plymouth, Plymouth, UK.ORCID https://orcid.org/0000-0002-0916-3469
Louise B FirthSchool of Biological and Marine Sciences, University of Plymouth, Plymouth, UK.ORCID https://orcid.org/0000-0002-6620-8512
Charlotte CorporeauIfremer, Univ Brest, CNRS, IRD, LEMAR, IUEM, Plouzané, France.ORCID https://orcid.org/0000-0003-1187-358X
Amelia CurdIfremer, DYNECO, Plouzané, France.ORCID https://orcid.org/0000-0003-3260-7192
Stanislas F DuboisIfremer, DYNECO, Plouzané, France.ORCID https://orcid.org/0000-0002-3326-4892
Fernando P LimaCIBIO, Centro de Investigação Em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal.ORCID https://orcid.org/0000-0001-9575-9834
Rui SeabraCIBIO, Centro de Investigação Em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal.ORCID https://orcid.org/0000-0002-0240-3992
Flavia L D NunesIfremer, DYNECO, Plouzané, France.ORCID https://orcid.org/0000-0002-3947-6634

Funding

ISblue ANR-17-EURE-0015Total Foundation, 2015 1512 215 588/F
6 · The paper itself

Abstract

Climate change is already altering, and will continue to reshape, the persistence and spatial structure of marine populations. Understanding metapopulation connectivity and local adaptation is therefore critical for identifying both vulnerable populations and those with adaptive resilience. We applied a seascape genomics approach to investigate connectivity patterns and adaptive responses in the honeycomb worm, Sabellaria alveolata-an intertidal ecosystem engineer that supports high biodiversity and provides essential ecological functions. A total of 286 individuals from 17 sites spanning the entire latitudinal range were genotyped to assess population structure and local adaptation. Outlier analyses (BayeScan and OutFlank) identified six adaptive and 2117 neutral SNPs. Neutral SNP analysis revealed low to moderate genetic differentiation, indicating well-connected populations. Admixture with possible ancestral gene pools in Southern Edge and Biscay populations suggests the persistence of unique genetic diversity. While connectivity is likely driven by natural larval dispersal, human-mediated transport resulting from support vessels, aquaculture, marine debris and expanding offshore and coastal infrastructure may also facilitate gene flow, shaping observed genetic patterns. Despite this high connectivity, we detected genetic signatures of adaptation to temperature, salinity and net primary productivity, with adaptive SNPs linked to genes involved in molecular and physiological responses to these environmental factors. Our findings suggest that S. alveolata is likely resilient to climate change and other anthropogenic pressures, making it a valuable model for investigating the genetic and physiological underpinnings of marine population resilience.

Indexed as

Adaptation, PhysiologicalGene FlowGenetics, PopulationAnimalsBayes TheoremClimate ChangeCoral ReefsEcosystemGenetic VariationGenotypePolymorphism, Single NucleotideSeashoreTemperature2b‐RADecosystem engineergene flowgenetic structurelocal adaptationseascape genomics

Identifiers

PMID42663304
PMCPMC13523172

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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.