Open this publication in new window or tab >>Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology, Genetics and Genomics. Department of Medical Biochemistry and Microbiology Uppsala University Uppsala Sweden;SciLifeLab Uppsala University Uppsala Sweden.
Department of Zoology Swedish Museum of Natural History Stockholm Sweden.
SciLifeLab, Department of Gene Technology KTH‐Royal Institute of Technology Solna Sweden.
Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology. SciLifeLab Genomics Platform, NGI, Department of Immunology, Genetics and Pathology Uppsala University Uppsala Sweden.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology. Uppsala University, Science for Life Laboratory, SciLifeLab. SciLifeLab, National Bioinformatics Infrastructure Sweden (NBIS), Department of Medical Biochemistry and Microbiology Uppsala University Uppsala Sweden.
Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology, Genetics and Genomics. Department of Medical Biochemistry and Microbiology Uppsala University Uppsala Sweden;SciLifeLab Uppsala University Uppsala Sweden;Broad Institute of MIT and Harvard Cambridge Massachusetts USA.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology. Uppsala University, Science for Life Laboratory, SciLifeLab. SciLifeLab Genomics Platform, NGI, Department of Immunology, Genetics and Pathology Uppsala University Uppsala Sweden.
SciLifeLab, Department of Biochemistry and Biophysics Stockholm University Solna Sweden.
Department of Aquatic Resources, Institute of Freshwater Research Swedish University of Agricultural Sciences Drottningholm Sweden.
Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology, Genetics and Genomics. Department of Medical Biochemistry and Microbiology Uppsala University Uppsala Sweden;SciLifeLab Uppsala University Uppsala Sweden.
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology. Uppsala University, Science for Life Laboratory, SciLifeLab. SciLifeLab, National Bioinformatics Infrastructure Sweden (NBIS), Department of Cell and Molecular Biology Uppsala University Uppsala Sweden.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology. Uppsala University, Science for Life Laboratory, SciLifeLab. SciLifeLab, National Bioinformatics Infrastructure Sweden (NBIS), Department of Medical Biochemistry and Microbiology Uppsala University Uppsala Sweden.
Department of Aquatic Resources, Institute of Freshwater Research Swedish University of Agricultural Sciences Drottningholm Sweden;Department of Aquaculture Estonian University of Life Sciences, Institute of Veterinary Medicine and Animal Sciences Tartu Estonia.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology. Uppsala University, Science for Life Laboratory, SciLifeLab. SciLifeLab Genomics Platform, NGI, Department of Immunology, Genetics and Pathology Uppsala University Uppsala Sweden.
Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology, Genetics and Genomics. Department of Medical Biochemistry and Microbiology Uppsala University Uppsala Sweden;SciLifeLab Uppsala University Uppsala Sweden;Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences Texas A&M University College Station Texas USA.
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2025 (English)In: Molecular Ecology, ISSN 0962-1083, E-ISSN 1365-294X, Vol. 34, no 20, article id e70094Article in journal (Refereed) Published
Abstract [en]
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.
Place, publisher, year, edition, pages
John Wiley & Sons, 2025
National Category
Genetics and Genomics Bioinformatics and Computational Biology Ecology Evolutionary Biology
Identifiers
urn:nbn:se:uu:diva-570172 (URN)10.1111/mec.70094 (DOI)001597302000012 ()40903929 (PubMedID)2-s2.0-105015195064 (Scopus ID)
Funder
Swedish Research Council, VR 2017‐02907Swedish Research Council, 2020‐06174Knut and Alice Wallenberg Foundation, KAW 2023.0160Swedish Research Council, 2022‐06725
2025-10-222025-10-222025-11-05Bibliographically approved