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

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.