@article{fdi:010095488,
  title = {{NEMESIS}db : a full length 16{S} r{RNA} gene dataset for the detection of human, fish, and crustacean potentially pathogenic bacteria},
  author = {{T}ran, {S}. {H}. and {R}estrepo-{O}rtiz, {C}. {X}. and {V}u, {D}. {Q}. and {T}roussellier, {M}. and {B}ettarel, {Y}van and {B}ouvier, {T}. and {B}ui, {V}. and {M}inh, {N}. {H}. and {H}oang, {T}. {D}. and {N}guyen, {Q}. {H}. and {A}uguet, {J}. {C}.},
  editor = {},
  language = {{ENG}},
  abstract = {{NEMESIS}db is a 16{S} r{RNA} full length sequence curated dataset designed to enable the identification and tracking of potentially pathogenic bacteria ({PPB}) for human, fish, and crustacean hosts. {I}t 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. {L}everaging recent advances in highthroughput sequencing, {NEMESIS}db provides a robust resource for the detection of {PPB} in 16{S} r{RNA} gene metabarcoding or metagenomic data. {T}he database comprises three datasets corresponding to human, fish, and crustacean hosts, containing 1703, 222, and 64 {PPB} species, respectively, with a total of over 150,0 0 0 16{S} r{RNA} full length sequences cu-rated for accuracy. {T}his resource was constructed by extracting sequences from the {SILVA} 138.2 {SSU} {R}ef {NR}99 database, refining them through a rigorous curation pipeline to ensure taxonomic consistency and eliminate misclassifications. {T}he 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. {NEMESIS}db 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. {A}dditionally, it facilitates research within the {O}ne {H}ealth framework by linking the circulation of {PPB} across environmental, animal, and human compartments.},
  keywords = {{O}ne {H}ealth ; {D}ataset ; {P}athogenic bacteria ; {M}arine ecosystems, {H}uman, ; {A}nimal},
  booktitle = {},
  journal = {{D}ata in {B}rief},
  volume = {63},
  numero = {},
  pages = {112135 [13 p.]},
  ISSN = {2352-3409},
  year = {2025},
  DOI = {10.1016/j.dib.2025.112135},
  URL = {https://www.documentation.ird.fr/hor/fdi:010095488},
}