A new database for non-human, animal-associated metagenomic data, the AnimalAssociatedMetagenomeDB, reveals a strong sampling bias towards livestock (cattle, pigs, poultry) and animals used in medical research as well as developed countries and temperate regions. Wildlife-associated microbial metagenomes, especially from polar and tropical regions and the Global South, particularly African countries, are largely underrepresented. This study can guide researchers in host species selection in novel animal-associated metagenome research, especially in biodiversity and conservation studies. The database can also guide scientists in future meta-analyses and testing of new hypotheses, for example, on host-specificity, strain heterogeneity, or biogeography of animal-associated microbiomes, leveraging existing data. The study was led by Ulisses Nunes da Rocha and his team from the Helmholtz Centre for Environmental Research in Leipzig, Germany, and counted on specialist guidance in animal taxonomy and metadata curation from iBB/DBE researcher Tina Keller-Costa. The user-friendly web app is a valuable resource for non-bioinformaticians to find publicly available animal-associated metagenome samples with curated metadata.
Weblink to Database/Web App: https://webapp.ufz.de/aamdb/
Weblink to Article: https://animalmicrobiome.biomedcentral.com/articles/10.1186/s42523-023-00267-3