Evidence map›Paper›PMID 41034969›Full record

ArticleBMC biology2025

Structural variant landscape provides insights into genome organisation and domestication in European seabass.

Zexin Jiao, Robert Mukiibi, Manu Kumar Gundappa, Massimiliano Babbucci, James G D Prendergast, Diego Robledo, Luca Bargelloni, Daniel J Macqueen

Abstract read
In one paragraph

Article in BMC biology, 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

8 authors.

Zexin JiaoThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK.
Robert MukiibiThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK.
Manu Kumar GundappaThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK.
Massimiliano BabbucciDepartment of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro, PD, Italy.
James G D PrendergastThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK.
Diego RobledoThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK.
Luca BargelloniDepartment of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro, PD, Italy.
Daniel J MacqueenThe Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK. daniel.macqueen@roslin.ed.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BBS/E/D/10002070Biotechnology and Biological Sciences Research Council,United Kingdom BBS/E/RL/230001BHorizon 2020 817923
6 · The paper itself

Abstract

backgroundStructural variants (SVs) are genetic polymorphisms including deletions, insertions, inversions, and duplications, with potential to influence traits through impacts on gene function and expression. SVs have not been widely utilized in genetic analysis, owing to the challenge of their accurate detection and genotyping. Addressing this general issue, and the broader demand to understand their role in commercially important taxa, we report a comprehensive analysis of SVs in the genome of European seabass (Dicentrarchus labrax), the most commercially important fish in the Mediterranean region.

resultsUsing whole genome sequencing from a farmed population (n = 90 samples), 21,428 SVs were identified using a comprehensive detection and genotyping strategy involving manual curation of every variant. This high-confidence SV atlas was annotated to predict impacts on genes and evolutionarily conserved sequences. We explored the overlap between SVs and repeats, identified heterogeneity in SV density across the genome, and tested if the coding genes disrupted by SVs are enriched for specific biological processes or conserved protein domains. SVs impacting evolutionarily conserved genomic regions were enriched in genes with nervous system and developmental functions. Finally, we performed a comparative analysis incorporating 38,408 high-confidence SVs identified independently for three wild populations (n = 80 samples) using identical methods. An analysis of 41,336 SVs merged across the two datasets provides insights into genes and biological functions targeted during aquaculture domestication, with evidence of shifts in allele frequency for SVs located within or near genes controlling behaviour, enriched for forebrain and synaptic functions, and specifically expressed in the brain.

conclusionsThis study sheds light on the global organisation of SVs across the European seabass genome, revealing a potential role in aquaculture domestication. The reported datasets provide a novel, high-quality reference for future genetic investigations of both farmed and wild European seabass.

Indexed as

BassDomesticationGenomeGenomic Structural VariationAnimalsDomesticationEuropean seabassStructural variantsWhole-genome sequencing

Identifiers

PMID41034969
PMCPMC12487334

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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.