A Machine Learning Approach Reveals a Microbiota Signature for Infection with Mycobacterium avium subsp. <i>paratuberculosis</i> in Cattle-Reference-Cited by-同舟云学术

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

Published:2023-02-14 Issue:1 Volume:11 Page:
ISSN:2165-0497
Container-title:Microbiology Spectrum
language:en
Short-container-title:Microbiol Spectr

Author:

Lee Sang-Mok¹,Park Hong-Tae²,Park Seojoung¹,Lee Jun Ho²,Kim Danil³,Yoo Han Sang²^ORCID,Kim Donghyuk¹

Affiliation:

1. School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea

2. Department of Infectious Diseases, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea

3. Department of Farm Animal Medicine, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea

Abstract

Due to the limitations, such as intermittent bacterial shedding or poor sensitivity, of the current diagnostic tools for Johne’s disease, novel biomarkers are urgently needed to aid control of the disease. Here, we explored the fecal microbiota of Johne’s disease-affected cattle and tried to discover distinct microbial characteristics which have the potential to be novel noninvasive biomarkers.

Funder

MAFRA | Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Cell Biology,Microbiology (medical),Genetics,General Immunology and Microbiology,Ecology,Physiology

Link

https://journals.asm.org/doi/pdf/10.1128/spectrum.03134-22

Reference58 articles.

1. Pathogenesis, Molecular Genetics, and Genomics of Mycobacterium avium subsp. paratuberculosis, the Etiologic Agent of Johne’s Disease

2. Paratuberculosis: decrease in milk production of German Holstein dairy cows shedding Mycobacterium avium ssp. paratuberculosis depends on within-herd prevalence

3. A viability assay combining palladium compound treatment with quantitative PCR to detect viable Mycobacterium avium subsp. paratuberculosis cells