Evidence map›Paper›PMID 38918882›Full record

ArticleGenome biology and evolution2024

Limited Parallelism in Genetic Adaptation to Brackish Water Bodies in European Sprat and Atlantic Herring.

Mats E Pettersson, María Quintela, François Besnier, Qiaoling Deng, Florian Berg, Cecilie Kvamme, Dorte Bekkevold, Mai-Britt Mosbech, Ignas Bunikis, Roger Lille-Langøy and 4 more

Abstract read
In one paragraph

Article in Genome biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Sperm, egg, and embryo proteins critical for genetic adaptation of herring to low salinity in the Baltic Sea.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Genetic Structure of Blue Ling,Ecology and evolution · 2026
    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

14 authors.

Mats E PetterssonScience for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-7372-9076
María QuintelaInstitute of Marine Research, 5817 Bergen, Norway.
François BesnierInstitute of Marine Research, 5817 Bergen, Norway.
Qiaoling DengScience for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
Florian BergInstitute of Marine Research, 5817 Bergen, Norway.ORCID 0000-0003-1543-8112
Cecilie KvammeInstitute of Marine Research, 5817 Bergen, Norway.
Dorte BekkevoldDTU-Aqua National Institute of Aquatic Resources, Technical University of Denmark, Silkeborg, Denmark.ORCID 0000-0002-5297-032X
Mai-Britt MosbechUppsala Genome Centre, SciLifeLab, Uppsala, Sweden.
Ignas BunikisUppsala Genome Centre, SciLifeLab, Uppsala, Sweden.
Roger Lille-LangøyInstitute of Marine Research, 5817 Bergen, Norway.
Iole LeonoriCNR IRBIM, Italian National Research Council, Institute for Marine Biological Resources and Biotechnology, 60125 Ancona, Italy.ORCID 0000-0001-7673-1684
Andreas WallbergScience for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-9081-9663
Kevin A GloverInstitute of Marine Research, 5817 Bergen, Norway.
Leif AnderssonScience for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-4085-6968

Funding

Knut and Alice Wallenberg Foundation KAW 2023.0160Research Council of NorwayVetenskapsrådet 2017-02907
6 · The paper itself

Abstract

The European sprat is a small plankton-feeding clupeid present in the northeastern Atlantic Ocean, in the Mediterranean Sea, and in the brackish Baltic Sea and Black Sea. This species is the target of a major fishery and, therefore, an accurate characterization of its genetic population structure is crucial to delineate proper stock assessments that aid ensuring the fishery's sustainability. Here, we present (i) a draft genome assembly, (ii) pooled whole genome sequencing of 19 population samples covering most of the species' distribution range, and (iii) the design and test of a single nucleotide polymorphism (SNP)-chip resource and use this to validate the population structure inferred from pooled sequencing. These approaches revealed, using the populations sampled here, three major groups of European sprat: Oceanic, Coastal, and Brackish with limited differentiation within groups even over wide geographical stretches. Genetic structure is largely driven by six large putative inversions that differentiate Oceanic and Brackish sprats, while Coastal populations display intermediate frequencies of haplotypes at each locus. Interestingly, populations from the Baltic and the Black Seas share similar frequencies of haplotypes at these putative inversions despite their distant geographic location. The closely related clupeids European sprat and Atlantic herring both show genetic adaptation to the brackish Baltic Sea, providing an opportunity to explore the extent of genetic parallelism. This analysis revealed limited parallelism because out of 125 independent loci detected in the Atlantic herring, three showed sharp signals of selection that overlapped between the two species and contained single genes such as PRLRA, which encodes the receptor for prolactin, a freshwater-adapting hormone in euryhaline species, and THRB, a receptor for thyroid hormones, important both for metabolic regulation and the development of red cone photoreceptors.

Indexed as

FishesPolymorphism, Single NucleotideAdaptation, PhysiologicalAnimalsAtlantic OceanSaline WatersEuropean spratgenetic adaptationgenetic parallelismgenome assemblypopulation structurewhole genome sequencing

Identifiers

PMID38918882
PMCPMC11226789

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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.