NEMESISdb: a full length 16S rRNA gene dataset for the detection of human, fish, and crustacean potentially pathogenic bacteria.
2025
Tran, Son-hoang | Restrepo-ortiz, Claudia Ximena | Vu Dinh, Quang | Troussellier, Marc | Bettarel, Yvan | Bouvier, Thierry | Ngoc Bui, Van | Hieu Minh, Nguyen | Du Hoang, Trung | Huy Nguyen, Quang | Auguet, Jean-christophe
NEMESISdb is a 16S rRNA full length sequence curated dataset designed to enable the identification and tracking of potentially pathogenic bacteria (PPB) for human, fish, and crustacean hosts. It addresses the limited focus on marine and coastal environments as key reservoirs for PPB, where bacteria from diverse sources—terrestrial, marine, and animal—can coexist. Leveraging recent advances in high-throughput sequencing, NEMESISdb provides a robust resource for the detection of PPB in 16S rRNA gene metabarcoding or metagenomic data. The database comprises three datasets corresponding to human, fish, and crustacean hosts, containing 1703, 222, and 64 PPB species, respectively, with a total of over 150,000 16S rRNA full length sequences curated for accuracy. This resource was constructed by extracting sequences from the SILVA 138.2 SSU Ref NR99 database, refining them through a rigorous curation pipeline to ensure taxonomic consistency and eliminate misclassifications. The resulting datasets are optimized for use with popular tools such as BLAST and classifier software, enabling rapid and accurate detection of PPB in metabarcoding and metagenomic data. NEMESISdb supports diverse applications, including pathogen surveillance in aquatic ecosystems, studies on environmental factors influencing PPB dynamics, and the development of targeted strategies for mitigating pathogen impacts in aquaculture. Additionally, it facilitates research within the One Health framework by linking the circulation of PPB across environmental, animal, and human compartments.
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