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January 22, 2026Database0 citationsOpen Access

A comprehensive database for biological data derived from sewage in five European cities

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ÁBÁgnes BecseiPMPatrick MunkAFAlessandro Fuschi

Key Points

  • The aim is to create a curated dataset of sewage samples to improve pathogen surveillance and understand microbial dynamics.
  • Collected 239 sewage samples from five European cities.
  • Processed samples using metagenomic sequencing and qPCR for pathogen identification.
  • Utilized Hi-C sequencing for genomic linkage analysis on select samples.
  • Developed a PostgreSQL database for easy access and exploration of the dataset.
  • Provided detailed taxonomic profiles of microbial communities.
  • Identified numerous antimicrobial resistance genes.
  • Created a public database facilitating targeted queries to the dataset.

Abstract

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.

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Cite This Study

Becsei et al. (2026) studied this question.

synapsesocial.com/papers/6971bd6a642b1836717e21e2https://doi.org/10.1093/database/baaf089
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