Evidence map›Paper›PMID 40903929›Full record

ArticleMolecular ecology2025

Genetic Adaptation to Brackish Water and Spawning Season in European Cisco.

Qiaoling Deng, Jake Goodall, Mikaela Bergenius Nord, Ignas Bunikis, Arianna Cocco, Bo Delling, Elisabet Einarsdottir, Julia Heintz, Henrik Lantz, Kerstin Lindblad-Toh and 9 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. Not yet cited in PubMed.

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

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

19 authors.

Qiaoling DengDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-3776-1132
Jake GoodallDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.ORCID 0000-0003-0960-4241
Mikaela Bergenius NordDepartment of Aquatic Resources, Institute of Marine Research, Swedish University of Agricultural Sciences, Lysekil, Sweden.
Ignas BunikisSciLifeLab Genomics Platform, NGI, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Arianna CoccoDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
Bo DellingDepartment of Zoology, Swedish Museum of Natural History, Stockholm, Sweden.ORCID 0000-0001-9148-9574
Elisabet EinarsdottirSciLifeLab, Department of Gene Technology, KTH-Royal Institute of Technology, Solna, Sweden.ORCID 0000-0003-3101-2285
Julia HeintzSciLifeLab Genomics Platform, NGI, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Henrik LantzSciLifeLab, National Bioinformatics Infrastructure Sweden (NBIS), Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
Kerstin Lindblad-TohDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.ORCID 0000-0001-8338-0253
Mai-Britt MosbechSciLifeLab Genomics Platform, NGI, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Remi-Andre OlsenSciLifeLab, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden.
Stefan PalmDepartment of Aquatic Resources, Institute of Freshwater Research, Swedish University of Agricultural Sciences, Drottningholm, Sweden.ORCID 0000-0002-9890-8265
Mats E PetterssonDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-7372-9076
Martin PippelSciLifeLab, National Bioinformatics Infrastructure Sweden (NBIS), Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-8134-5929
Lucile SolerSciLifeLab, National Bioinformatics Infrastructure Sweden (NBIS), Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
Anti VasemägiDepartment of Aquatic Resources, Institute of Freshwater Research, Swedish University of Agricultural Sciences, Drottningholm, Sweden.ORCID 0000-0002-2184-5534
Olga Vinnere PetterssonSciLifeLab Genomics Platform, NGI, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Leif AnderssonDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-4085-6968

Funding

Knut och Alice Wallenbergs Stiftelse KAW 2023.0160Swedish Research Council 2022-06725Vetenskapsrådet 2020-06174Vetenskapsrådet VR 2017-02907
6 · The paper itself

Abstract

How species adapt to diverse environmental conditions is essential for understanding evolution and the maintenance of biodiversity. The European cisco (Coregonus albula) is a salmonid that occurs in both fresh and brackish water, and this together with the presence of sympatric spring- and autumn-spawning lacustrine populations provides an opportunity for studying the genetics of adaptation in relation to salinity and timing of reproduction. Here, we present a high-quality reference genome of the European cisco based on PacBio HiFi long read sequencing and HiC-directed scaffolding. We generated low-coverage whole-genome sequencing data from 336 individuals across 12 population samples to explore population structure and genetics of ecological adaptation. We found a major subdivision between two groups of populations most likely reflecting colonisation from different glacial refugia. Within the two major groups, we detected further genetic differentiation between spring- and autumn-spawning populations and between populations from freshwater lakes, rivers and brackish water (Bothnian Bay). A genome-wide screen for genetic differentiation among populations identified a set of outlier SNPs strongly correlated with spawning timing and salinity. Several of the genes associated with spawning time, including BHLHE40, TIMELESS and CPT1A, have previously been shown to have a role in circadian rhythm biology. As many as 17 loci were associated with genetic differentiation between populations reproducing in fresh and brackish water. This study provides insights into the genomic basis of ecological adaptation in European cisco with implications for sustainable fishery management.

Indexed as

Adaptation, PhysiologicalGenetics, PopulationReproductionSalmonidaeAnimalsPolymorphism, Single NucleotideSaline WatersSalinitySeasonsEuropean ciscogenetic adaptationphotoperiodismpopulation structurewhole genome sequencing

Identifiers

PMID40903929
PMCPMC12530279

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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.