Free-living eukaryotic microbes may reduce animal diseases. We evaluated the dynamics by which micrograzers (primarily protozoa) apply top-down control on the chytrid () a devastating, panzootic pathogen of amphibians. Although micrograzers consumed zoospores (∼3 μm), the dispersal stage of chytrids, not all species grew monoxenically on zoospores. However, the ubiquitous ciliate , which likely co-occurs with , grew at near its maximum rate ( = 1.7 d). A functional response (ingestion vs. prey abundance) for , measured using spore-surrogates (microspheres) revealed maximum ingestion ( ) of 1.63 × 10 zoospores d, with a half saturation constant () of 5.75 × 10 zoospores ml. Using these growth and grazing data we developed and assessed a population model that incorporated chytrid-host and micrograzer dynamics. Simulations using our data and realistic parameters obtained from the literature suggested that micrograzers could control and potentially prevent chytridiomycosis (defined as 10 sporangia host). However, simulated inferior micrograzers (0.7 × and 1.5 × ) did not prevent chytridiomycosis, although they ultimately reduced pathogen abundance to below levels resulting in disease. These findings indicate how micrograzer responses can be applied when modeling disease dynamics for and other zoosporic fungi.
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http://dx.doi.org/10.3389/fmicb.2020.592286 | DOI Listing |
PLoS One
August 2024
Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York, United States of America.
Realistic and modifiable infection models are required to study the pathogenesis of amphibian chytridiomycosis. Understanding the mechanism by which Batrachochytrium dendrobatidis (Bd) can infect and kill diverse amphibians is key to mitigating this pathogen and preventing further loss of biodiversity. In vitro studies of Bd typically rely on a tryptone based growth media, whereas the recent development of a kidney cell-line infection model has provided a more realistic alternative, without the need for live animals.
View Article and Find Full Text PDFConserv Biol
August 2024
U.S. Geological Survey, Massachusetts Cooperative Fish and Wildlife Research Unit, University of Massachusetts Amherst, Amherst, Massachusetts, USA.
Finding effective pathogen mitigation strategies is one of the biggest challenges humans face today. In the context of wildlife, emerging infectious diseases have repeatedly caused widespread host morbidity and population declines of numerous taxa. In areas yet unaffected by a pathogen, a proactive management approach has the potential to minimize or prevent host mortality.
View Article and Find Full Text PDFJ Zoo Wildl Med
June 2024
Department of Comparative and Experimental Medicine, University of Tennessee, College of Veterinary Medicine, Knoxville, TN 37996, USA.
Chytridiomycosis caused by () has been documented in greater sirens () in the wild and in the pet trade. This study evaluated the use of terbinafine-impregnated implants for chytridiomycosis prophylaxis in greater sirens exposed to . Implants were placed intracoelomically in both control (blank implant, n = 4) and treatment (24.
View Article and Find Full Text PDFDis Aquat Organ
May 2024
Department of Biological Sciences, Oakland University, Rochester, MI 48309, USA.
Working with aquatic organisms often requires handling multiple individuals in a single session, potentially resulting in cross-contamination by live pathogens or DNA. Most researchers address this problem by disposing of gloves between animals. However, this generates excessive waste and may be impractical for processing very slippery animals that might be easier to handle with cotton gloves.
View Article and Find Full Text PDFConserv Biol
August 2024
Eastern Ecological Science Center at Patuxent Research Refuge, U.S. Geological Survey, Laurel, Maryland, USA.
Contemporary wildlife disease management is complex because managers need to respond to a wide range of stakeholders, multiple uncertainties, and difficult trade-offs that characterize the interconnected challenges of today. Despite general acknowledgment of these complexities, managing wildlife disease tends to be framed as a scientific problem, in which the major challenge is lack of knowledge. The complex and multifactorial process of decision-making is collapsed into a scientific endeavor to reduce uncertainty.
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