Shared environments complicate the use of strain-resolved metagenomics to infer microbiome transmission
We conclude that strain-level analyses provide useful information about microbiome similarity, but other facets of study design, especially longitudinal sampling and careful consideration of host characteristics, are essential for inferring the underlying mechanisms of strain sharing and resolving true social transmission network. Video Abstract.
Authors
- Reena Debray (ORCID: https://orcid.org/0000-0001-8130-4871)
- Elizabeth A. Archie (ORCID: https://orcid.org/0000-0002-1187-0998)
- Shasta E. Webb (ORCID: https://orcid.org/0000-0002-9329-2553)
- Carly C. Dickson
- Jenny Tung
Institutions
- University of Notre Dame (US)
- Canadian Institute for Advanced Research (CA)
- Duke University (US)
- Max Planck Institute for Evolutionary Anthropology (DE)
Publication Details
- Journal
- Microbiome
- Published
- 2025-02-28
- DOI
- https://doi.org/10.1186/s40168-025-02051-8
- Citations
- 5
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 4.03
Funders
- Max-Planck-Institut für Evolutionäre Anthropologie
- National Institutes of Health