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Publications

NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.

2025

Abstract

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Abstract

Arctic food systems blend Traditional Ecological Knowledge with modern, often energy-intensive influences, triggered by colonization. Food systems’ future depends on alignment of tradition with innovation, facilitation of resilience and a heritage-driven interaction with the global economy – at a pace determined by local communities.

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Abstract

Despite the ecosystem functions offered by sponges in freshwater habitats, fragmentary studies have targeted their microbiome and the bioaccumulation of legacy and emerging organic micropollutants, making it difficult to test hypotheses about sponge-microbe specificity and response to environmental factors and stressors. The sponge species Ephydatia muelleri and Spongilla lacustris, coexisting in two sites of the Pasvik River (northern Fennoscandia), were analyzed for persistent organic pollutant (POPs) and chemicals of emerging concern (CECs), along with quali-quantitative microbiological features. River water and sediment were similarly treated to establish if the obtained data were site- or sponge-specific. CECs mainly occurred in abiotic matrices, with trimethoprim and ciprofloxacin prevailing in water and sediment, respectively. Only ciprofloxacin and diclofenac were detected in sponges, with higher concentrations generally determined in S. lacustris than E. muelleri. Overall, POP concentrations were in the order polycyclic aromatic hydrocarbons > chlorobenzenes > polychlorobiphenyls > polychloronaphthalenes, with higher values in sponges with respect to abiotic matrices. Generally, POPs occurred at higher concentrations in S. lacustris than E. muelleri. Enzyme activity measurements displayed diverse trends across samples and sites, with E. muelleri displaying higher glycolytic activity than S. lacustris. Prokaryotic abundance in sponges generally exceeded that found in abiotic matrices. Proteobacteria, Planctomycetota, Actinobacteriota, Verrucomicrobiota, and Cyanobacteria predominated in sponge samples, with slight differences between sponge species and sampling sites, whereas Desulfobacterota and Acidobacterota were retrieved mostly in sediment samples. The sponge-associated bacterial communities appeared to be differently affected by pollutant concentration at the site level. Overall, this study highlights the ecological role of freshwater sponges, shedding light on their microbial associations, pollutant bioaccumulation, and potential as bioindicators of aquatic ecosystem health. The findings emphasize the importance of considering both microbial diversity and contaminant accumulation for a holistic understanding of the roles played by freshwater sponges in human-impacted environments.

Abstract

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Abstract

Mitochondrial genomes (mitogenomes) display relatively rapid mutation rates, low sequence recombination, high copy numbers, and maternal inheritance patterns, rendering them valuable blueprints for mapping lineages, uncovering historical migration patterns, understanding intraspecific population dynamics, and investigating how environmental pressures shape traits underpinned by genetic variation. Here, we present the bioinformatic pipeline and code used to assemble and annotate the complete mitogenomes of five houndsharks (Chondrichthyes: Triakidae) and compare them to the mitogenomes of other closely related species. We demonstrate the value of a combined assembly approach for detecting deviations in mitogenome structure and describe how to select an assembly approach that best suits the sequencing data. The datasets required to run our analyses are available on the GitHub and Dryad repositories

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Abstract

The limited standards for the rigorous and objective use of mitochondrial genomes (mitogenomes) can lead to uncertainties regarding the phylogenetic relationships of taxa under varying evolutionary constraints. The mitogenome exhibits heterogeneity in base composition, and evolutionary rates may vary across different regions, which can cause empirical data to violate assumptions of the applied evolutionary models. Consequently, the unique evolutionary signatures of the dataset must be carefully evaluated before selecting an appropriate approach for phylogenomic inference. Here, we present the bioinformatic pipeline and code used to expand the mitogenome phylogeny of the order Carcharhiniformes (groundsharks), with a focus on houndsharks (Chondrichthyes: Triakidae). We present a rigorous approach for addressing difficult-to-resolve phylogenies, incorporating multi-species coalescent modelling (MSCM) to address gene/species tree discordance. The protocol describes carefully designed approaches for preparing alignments, partitioning datasets, assigning models of evolution, inferring phylogenies based on traditional site-homogenous concatenation approaches as well as under multispecies coalescent and site heterogenous models, and generating statistical data for comparison of different topological outcomes. The datasets required to run our analyses are available on GitHub and Dryad repositories.

2024