A comprehensive database for biological data derived from sewage in five European cities
Becsei, Ágnes Munk, Patrick Fuschi, Alessandro Otani, Saria Stéger, József Visontai, Dávid Papp, Krisztián Brinch, Christian Kant, Ravi Weinstein, Ilya
Becsei, Ágnes
Munk, Patrick
Fuschi, Alessandro
Otani, Saria
Stéger, József
Visontai, Dávid
Papp, Krisztián
Brinch, Christian
Kant, Ravi
Weinstein, Ilya
Series / Report no.
Open Access
Type
Journal Article
Article
Article
Language
en
Date of publication
2026-01-15
Year of publication
Research Projects
Organizational Units
Journal Issue
Title
A comprehensive database for biological data derived from sewage in five European cities
Translated Title
Published in
Database (Oxford) 2026; 2026:baaf089
Abstract
Sewage metagenomics is a powerful tool for proactive pathogen surveillance and understanding microbial community dynamics. To support such efforts, we present a highly curated and accessible longitudinal dataset of 239 sewage samples collected from five European cities. The dataset, processed through metagenomic sequencing, includes rich analytical outputs such as taxonomic profiles, identified antimicrobial resistance genes, assembled contigs with annotated origins, metagenome-assembled genomes with functional gene annotations, and metadata. Given the computational intensity and time required to reproduce such analyses, we share this dataset to promote reuse and advance research. In addition to the metagenomic data, qPCR was used to identify specific pathogens, and Hi-C sequencing was performed on a subset of the samples to strengthen genomic linkage analysis. Central to this resource is a publicly available PostgreSQL database, designed to facilitate efficient exploration and reuse of the data. This comprehensive database allows users to perform targeted queries, subset data, and streamline access to this extensive resource.