ArticleScientific data2026
A multi-Omic resource for exploring microbial eukaryotes in the meromictic freshwater Lake Pavin.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Although recent advances in high-throughput sequencing have greatly expanded our understanding of microbial diversity and function in aquatic ecosystems, progress in studying freshwater microbial eukaryotes has been more limited, mainly due to their large genomes, immense diversity, and largely uncharacterised physiologies. In this work, we present a comprehensive multi-omic dataset, eukaryote-centred, including targeted-metagenomic (18S rDNA V4 and V9), metagenomic, metatranscriptomic and single amplified genomes (SAGs). Both the oxic and anoxic layers of Lake Pavin (France), a permanently stratified freshwater lake, were sampled at four distinct times throughout 2018, by day and night, targeting microbial eukaryotes of two size classes (0.65-10 µm and 10-50 µm). This dataset comprises 106 eukaryotic metagenome-assembled genomes (MAGs), over 9 million unigenes and 11 SAGs, encompassing several under-represented taxa in public databases (e.g. Perkinsea, Chytridiomycota, Cryptista). Altogether, this dataset represents a resource for exploring the functional diversity and spatio-temporal dynamics of microbial eukaryotes.
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