# A multi-Omic resource for exploring microbial eukaryotes in the meromictic freshwater Lake Pavin

## TL;DR

This study provides a detailed multi-omic dataset of microbial eukaryotes in a freshwater lake to better understand their diversity and function.

## Contribution

The paper introduces a comprehensive, eukaryote-focused multi-omic dataset from a stratified freshwater lake.

## Key findings

- The dataset includes 106 eukaryotic MAGs, 9 million unigenes, and 11 SAGs.
- It captures under-represented taxa like Perkinsea, Chytridiomycota, and Cryptista.
- The data reveals spatio-temporal dynamics of microbial eukaryotes in oxic and anoxic layers.

## 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.