| Title: |
A comprehensive database for biological data derived from sewage in five European cities |
| Authors: |
Becsei, Ágnes; Munk, Patrick; Fuschi, Alessandro; Otani, Saria; Stéger, József; Visontai, Dávid; Papp, Krisztián; Brinch, Christian; Kant, Ravi; Weinstein, Ilya; Vapalahti, Olli; de Graaf, Miranda; Schapendonk, Claudia M E; Roelfsema, Jeroen; van den Beld, Maaike; Pijnacker, Roan; Franz, Eelco; Alba, Patricia; Battisti, Antonio; De Cesare, Alessandra; Indio, Valentina; Troja, Fulvia; Sironen, Tarja; Oliveri, Chiara; Pasquali, Frédérique; Liachko, Ivan; Auch, Benjamin; O’Cathail, Colman; Bányai, Krisztián; Makó, Magdolna; Pollner, Péter; Koopmans, Marion; Csabai, Istvan; Remondini, Daniel; Aarestrup, Frank M |
| Contributors: |
Novo Nordisk Foundation; Horizon 2020; Gates Foundation; National Research, Development and Innovation Office of Hungary |
| Source: |
Database ; volume 2026 ; ISSN 1758-0463 |
| Publisher Information: |
Oxford University Press (OUP) |
| Publication Year: |
2026 |
| Description: |
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. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1093/database/baaf089 |
| DOI: |
10.1093/database/baaf089/66472523/baaf089.pdf |
| Availability: |
https://doi.org/10.1093/database/baaf089; https://academic.oup.com/database/article-pdf/doi/10.1093/database/baaf089/66472523/baaf089.pdf |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| Accession Number: |
edsbas.68B1CB2F |
| Database: |
BASE |