A Machine Learning Approach Reveals a Microbiota Signature for Infection with Mycobacterium avium subsp. <i>paratuberculosis</i> in Cattle.

Lee, Sang-Mok; Park, Hong-Tae; Park, Seojoung; Lee, Jun Ho; Kim, Danil; Yoo, Han Sang; Kim, Donghyuk

A Machine Learning Approach Reveals a Microbiota Signature for Infection with Mycobacterium avium subsp. paratuberculosis in Cattle.

Lee, Sang-Mok; Park, Hong-Tae; Park, Seojoung; Lee, Jun Ho; Kim, Danil; Yoo, Han Sang; Kim, Donghyuk.

Afiliación

Lee SM; School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Park HT; Department of Infectious Diseases, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
Park S; School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Lee JH; Department of Infectious Diseases, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
Kim D; Department of Farm Animal Medicine, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
Yoo HS; Department of Infectious Diseases, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea.
Kim D; School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.

Microbiol Spectr ; 11(1): e0313422, 2023 02 14.

Article en En | MEDLINE | ID: mdl-36656029

Asunto(s)

Enfermedades de los Bovinos; Microbioma Gastrointestinal; Mycobacterium avium subsp. paratuberculosis; Paratuberculosis; Bovinos; Animales; Mycobacterium avium subsp. paratuberculosis/genética; Paratuberculosis/diagnóstico; Paratuberculosis/microbiología; ARN Ribosómico 16S/genética; Infecciones Asintomáticas; Enfermedades de los Bovinos/diagnóstico; Enfermedades de los Bovinos/microbiología; Heces/microbiología; Biomarcadores/análisis

Palabras clave

16S rRNA sequencing; Mycobacterium avium subsp. paratuberculosis; feature selection; gut microbiota signature; machine learning-based predictive model

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Paratuberculosis / Enfermedades de los Bovinos / Mycobacterium avium subsp. paratuberculosis / Microbioma Gastrointestinal Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals Idioma: En Revista: Microbiol Spectr Año: 2023 Tipo del documento: Article

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