Cryptosporidium parvum oocyst viability was determined by a dye permeability assay using a flow cytometric method. Oocysts were inoculated into small chambers with soil and biosolids. Oocysts extracted from soil and biosolids were then stained with propidium iodide (PI) and labeled with a fluorescein isothiocyanate (FITC)-conjugated monoclonal antibody. The oocyst population in each sample was determined using forward and side scatter plots, then further analyzed with fluorescence. A red and green fluorescence detector using gates established single populations of unstained, PI-stained, or FITC-labeled oocysts. No statistical difference was observed between viability of oocysts extracted from soil and biosolids as determined by either flow cytometry or microscopy. The location of excysted oocysts was changed in forward and side scatter plots. Results indicated that, although oocysts are not identified if they excyst, the flow cytometric method could be used to determine oocyst viability from spiked environmental samples.
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http://dx.doi.org/10.1007/s004360100504 | DOI Listing |
BMC Vet Res
January 2025
National Key Laboratory of Veterinary Public Health Security, Key Laboratory of Animal Epidemiology and Zoonosis of Ministry of Agriculture, National Animal Protozoa Laboratory & College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
This study aims to explore the coding sequence (CDS) of the putative DUS gene in Eimeria media and assess its potential biological functions during the parasite's lifecycle. Initially, oocysts were isolated from fecal samples of rabbits infected with E. media, from which DNA and RNA were extracted.
View Article and Find Full Text PDFBMC Vet Res
January 2025
Department of Poultry and Rabbit Diseases, Faculty of Veterinary Medicine, Aswan University, Aswan, 81528, Egypt.
Avian coccidiosis is one of the many disorders that seriously harm birds' digestive systems. Nowadays the light is shed on using Phytochemical/herbal medicines as alternative natural anti-coccidial chemical-free standards. Consequently, this study aimed to investigate the impact of lawsonia inermis powder (LIP), and Acacia nilotica aqueous extract (ANAE), on growth performance, serum biochemical, antioxidant status, cytokine biomarkers, total oocyst count and intestinal histopathology of broiler chickens challenged with coccidiosis.
View Article and Find Full Text PDFBMC Vet Res
December 2024
Department of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Background: The Protozoan pathogen Eimeria is a significant issue in poultry production. Scientists are concerned with finding alternative strategies due to the spread of resistance against the commonly employed coccidiostats. This study examined how well myrrh extract (MyE) protected domesticated pigeons from an experimental Eimeria labbeana-like infection.
View Article and Find Full Text PDFFront Cell Infect Microbiol
December 2024
Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany.
Introduction: is the most prevalent enteric protozoan parasite causing infectious diarrhea in neonatal calves worldwide with a direct negative impact on their health and welfare. This study utilized next-generation sequencing (NGS) to deepen our understanding of intestinal epithelial barriers and transport mechanisms in the pathophysiology of infectious diarrhea in neonatal calves, which could potentially unveil novel solutions for treatment.
Methods: At day 1 of life, male Holstein-Friesian calves were either orally infected (n = 5) or not (control group, n = 5) with oocysts (in-house strain LE-01-Cp-15).
Vet Parasitol
December 2024
ICAR-Research Complex for North Eastern Hill (NEH) Region, Umiam, Meghalaya 793 103, India.
Coccidiosis is a gastrointestinal parasitic disease caused by different species of Eimeria and Isospora, poses a significant threat to pig farming, leading to substantial economic losses attributed to reduced growth rates, poor feed conversion, increased mortality rates, and the expense of treatment. Traditional methods for identifying Coccidia species in pigs rely on fecal examination and microscopic analysis, necessitating expert personnel for accurate species identification. To address this need, a deep learning-based mobile application capable of automatically identifying different species of Eimeria and Isospora was developed.
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