microbetag: simplifying microbial network interpretation through annotation, enrichment tests, and metabolic complementarity analysis
Microbial co-occurrence network inference is often hindered by low accuracy and tool dependency. We introduce microbetag, a comprehensive software ecosystem designed to annotate microbial networks. Nodes, representing taxa, are enriched with phenotypic traits, while edges are enhanced with metabolic complementarities, highlighting potential cross-feeding relationships. microbetag's online version relies on microbetagDB, a database of 34,608 annotated representative genomes. microbetag can be applied to custom (metagenome-assembled) genomes via its stand-alone version. MGG, a Cytoscape app designed to support microbetag, offers a streamlined, user-friendly interface for network retrieval and visualization. microbetag effectively identified known metabolic interactions and serves as a robust hypothesis-generating tool.
Authors
- Haris Zafeiropoulos (ORCID: https://orcid.org/0000-0002-4405-6802)
- Karoline Faust (ORCID: https://orcid.org/0000-0001-7129-2803)
- Andi Erega (ORCID: https://orcid.org/0000-0002-7932-8855)
- Annelies Geirnaert (ORCID: https://orcid.org/0000-0002-3390-6701)
- John P. Morris (ORCID: https://orcid.org/0000-0001-7275-6796)
- Ermis Ioannis Michail Delopoulos (ORCID: https://orcid.org/0009-0002-3474-3980)
- Aline Schneider
Institutions
- University of California, San Francisco (US)
- Rega Institute for Medical Research (BE)
- ETH Zurich (CH)
Publication Details
- Journal
- Genome biology
- Published
- 2025-09-22
- DOI
- https://doi.org/10.1186/s13059-025-03769-2
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00