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Review of methods for detection and characterization of non-tuberculous mycobacteria in aquatic organisms.
Maboni, Grazieli; Prakash, Niharika; Moreira, Maria Aparecida S.
Afiliação
  • Maboni G; Department of Population Health, College of Veterinary Medicine, University of Georgia, Athens, GA, USA.
  • Prakash N; Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
  • Moreira MAS; Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
J Vet Diagn Invest ; : 10406387231194619, 2023 Aug 22.
Article em En | MEDLINE | ID: mdl-37606184
ABSTRACT
Mycobacteriosis is an emerging and often lethal disease of aquatic organisms caused by several non-tuberculous mycobacteria (NTM) species. Early diagnosis of mycobacteriosis in aquaculture and aquatic settings is critical; however, clinical diagnoses and laboratory detection are challenging, and the available literature is scarce. In an attempt to fill the gap, here we review the most relevant approaches to detect and characterize mycobacteria in clinical specimens of aquatic organisms. Emphasis is given to recent advances in molecular methods used to differentiate NTM species spanning from targeted gene sequencing to next-generation sequencing. Further, given that there are major gaps in our understanding of the prevalence of the different NTM species, partially because of their distinct requirements for in vitro growth, we also reviewed the most relevant NTM species reported to cause disease in aquatic organisms and their specific in vitro growth conditions. We also highlight that traditional bacterial culture continues to be relevant for NTM identification, particularly in non-automated laboratories. However, for NTM species discrimination, a high level of accuracy can be achieved with MALDI-TOF MS and molecular approaches, especially targeted gene sequencing applied from clinical specimens or from pure NTM isolates.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Risk_factors_studies / Screening_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Risk_factors_studies / Screening_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article