biostudies-literatureUnknown15(4)Malmberg JLAgenzia Regionale per i ParchiIn the current era of global change, the emergence of infectious diseases at the wildlife-livestock interface poses risks to biodiversity, agricultural economies, and public health. Driven by anthropogenic influence, increased sharing of resources between wildlife and livestock can promote cross-species transmission, the consequences of which are challenging to predict. <i>Mycoplasma bovis</i> , an economically important bacterial pathogen in cattle, has recently emerged as a threat to other ungulate species. This study reports on a case of <i>M. bovis</i> in an intensively monitored free-ranging mule deer (<i>Odocoileus hemionus</i> ) in Colorado, USA, which presented an opportunity to describe the disease in a novel host and infer transmission and infection dynamics from GPS collar data.Ecology and evolutione71182https://www.ebi.ac.uk/biostudies/studies/S-EPMC11985357biostudies-literatureCross-Species Transmission at the Wildlife-Livestock Interface: A Case Study of Epidemiological Inference From Mule Deer GPS Collar Data.PMC11985357Alder JKillion HWittemyer GMalmberg JLButtke DPepin KMfalseCross-Species Transmission at the Wildlife-Livestock Interface: A Case Study of Epidemiological Inference From Mule Deer GPS Collar Data.In the current era of global change, the emergence of infectious diseases at the wildlife-livestock interface poses risks to biodiversity, agricultural economies, and public health. Driven by anthropogenic influence, increased sharing of resources between wildlife and livestock can promote cross-species transmission, the consequences of which are challenging to predict. <i>Mycoplasma bovis</i> , an economically important bacterial pathogen in cattle, has recently emerged as a threat to other ungulate species. This study reports on a case of <i>M. bovis</i> in an intensively monitored free-ranging mule deer (<i>Odocoileus hemionus</i> ) in Colorado, USA, which presented an opportunity to describe the disease in a novel host and infer transmission and infection dynamics from GPS collar data.2025-01-01T00:00:00Z2025 Apr2025-07-03T03:06:04.896Z2025-07-03T03:06:04.896ZS-EPMC119853574022589410.1002/ece3.71182