bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.10.29.762745

A genomic baseline for long-term monitoring of economically important aquatic species in the Netherlands

Abstract

Aquatic species of economic and ecological importance are increasingly threatened by environmental change, yet their genetic diversity and population structure remain poorly characterised, limiting effective conservation and management. To address this gap, we initiated a multi-species genomic monitoring programme in 2022, targeting key marine and freshwater taxa. A total of 2,420 individuals from 104 locations were sampled across six species: turbot (Scophthalmus maximus), zander (Sander lucioperca), European eel (Anguilla anguilla; both glass eel in the marine environment and adult eel in freshwater environments), blue mussel (Mytilus edulis), flat oyster (Ostrea edulis), and Pacific oyster (Magallana gigas). Using genotyping-by-sequencing (GBS) and SNP arrays, we generated genome-wide SNP datasets to assess population structure, genetic diversity, inbreeding, and relatedness. Among fish species, population structure was generally weak, consistent with high connectivity. However, significant variation in genetic diversity and kinship among localities indicates the presence of distinct source populations that may be critical for maintaining adaptive potential and guiding restoration efforts. In bivalves, cultured populations in the Oosterschelde and Waddenzee were genetically homogeneous, whereas wild populations in Grevelingen and Veerse Meer retained distinct genetic signatures, representing important reservoirs of diversity for conservation and breeding. Together, these results provide a genomic baseline for key aquatic species in the Netherlands and demonstrate the value of coordinated, multi-species genomic monitoring. The identification of genetically distinct and diverse populations offers direct guidance for conservation prioritisation, restoration strategies, and the sustainable management of aquatic genetic resources under ongoing environmental change, in the Netherlands but also applied in other national and transnational monitoring contexts.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Barratt, C. D., Valk, S., van der Valk, E., Rattink, A. P., Abbink, W.. 2026-10-31. A genomic baseline for long-term monitoring of economically important aquatic species in the Netherlands. https://doi.org/10.64898/2026.10.29.762745

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Pre-existing genome architecture partitions viral takeover in the smallest free-living eukaryote

Nuclear DNA viruses colonize host genomes already structured into complex spatial domains, yet whether established spatial boundaries dictate viral progression remains unresolved--in part because sequence composition and transcriptional output are intertwined in animal models. Here, we tracked productive lytic infection of the marine picoeukaryote Ostreococcus tauri by the giant double-stranded DNA prasinovirus OtV5, recording transcription, accessibility, and 3D contact dynamics across parallel time courses. Although total cellular transcript pools collapsed 18-fold by 10 h post-infection, the host transcriptional shutdown, decay of insulation, early chromatin opening, and viral DNA positioning were all bounded by architectural coordinates defined prior to viral arrival. Across two low-GC outlier domains, chromatin accessibility spiked rapidly, spatial insulation eroded, and loci exhibited relative upregulation by 6 hpi, with the smaller outlier region retaining elevated transcript levels per cell compared to the rest of the genome. Unexpectedly, viral DNA was preferentially depleted from these accessible outlier cores, contacting instead the standard-GC telomeric flanks situated immediately beyond the pre-existing spatial boundaries. Domain identity, rather than local accessibility or active host expression, thus governs viral positioning, demonstrating that pre-existing nuclear architecture partitions the physical and transcriptional takeover of the host cell.

evolutionary biology↗

Experimental evolution unveils a role for structural variants and sex-specificity in the genetic architecture of lifespan

Insights into the genetic basis of lifespan evolution can link evolutionary theory with an understanding of health, disease and adaptation. We leverage the power of >200 generations of experimental evolution in a seed beetle to unveil the genomic architecture of lifespan evolution. Replicated populations evolved under regimes favoring either a short or long life, resulting in a near doubling of lifespan. Whole genome re-sequencing revealed that short- and long-lived lines were strongly differentiated (global FST = 0.41) and more than 700 genes showed consistent signs of divergent selection. Remarkably, short- and long-lived lines were consistently divergent in a large number of regions harboring copy-number variants (CNVs), involving >600 genes. The evolution of a long life involved many distinct biological processes, such as DNA fidelity, mitotic integrity, reproduction, metabolism, immunity and stress response. A pedigree-based genome scan for quantitative trait loci (QTLs) uncovered several QTLs with large effects on lifespan, but the genetic basis of a long life was dominated by a very large number of regions with medium and small effects. The genome-wide spatial association with QTL effects was, if anything, stronger for CNVs than for sequence variants. The genetic effects of QTLs on lifespan were positively correlated overall between the sexes, but four regions showed pronounced sex-differences. Our results show that structural variants play a significant role in the evolution of an extended lifespan and the highly polygenic genomic architecture is to some extent sex-specific, consistent with differences in physiology and life history tradeoffs between the sexes.

evolutionary biology↗

Genome-wide fluctuating selection under demographic cycling in Icelandic rock ptarmigan

Understanding how natural populations adapt to continuously shifting environments is central to evolutionary biology. Multi-annual population cycles impose temporally varying selective pressures, yet disentangling the resulting genomic signals from those of sustained directional selection and genetic drift has been challenging due to a lack of high-resolution temporal data. Here we investigate the genomic consequences of demographic cycling in a population of rock ptarmigan (Lagopus muta) from northeastern Iceland. We analyzed whole-genome sequences from 91 individuals sampled over an 11-year period, encompassing two population peaks (2010 and 2018) and two troughs (2007 and 2013). Testing allele frequency change at each SNP against a null model of drift and sampling, we identified candidate loci and grouped them by correlation of their temporal trajectories. Cluster trajectories fluctuated through time, and two were closely correlated with the regional census, one significantly tracking the demographic cycle, while a smaller set changed monotonically in a manner consistent with sustained directional selection. Each cluster contained loci distributed across many chromosomes, indicative of genome-wide responses to selection. The most strongly fluctuating loci overlapped candidate genes of possible functional relevance, most notably CTNNA2 (Catenin Alpha-2), which is associated with startle response and anxiety-like behaviors and may relate to predator avoidance. Our findings indicate that fluctuating selection comprises much of the temporal genomic response in this natural population, and suggest that multi-annual demographic cycles can drive rapid and widespread allele frequency change, highlighting the value of temporal genomics for clarifying the interplay between demography and natural selection in wild populations.

evolutionary biology↗