There is a need to develop cost-effective and non-invasive approaches to sample large populations to evaluate the disease status of breeding herds. In this study we assessed the detection of the M. hyopneumoniae genetic material in environmental surfaces and air of farrowing rooms, and skin (udder, snout and vagina) of lactating sows at weaning, in farms having different M. hyopneumoniae infection status (negative, positive sub-clinically infected and positive clinically affected). Mycoplasma hyopneumoniae was detected in air, air deposition particles, dam and stall surfaces of the positive clinically affected herd. Mycoplasma hyopneumoniae could only be detected in dam and stall surfaces in sub-clinically infected herds. Mycoplasma hyopneumoniae was not detected in all samples collected in the negative herd. The cycle threshold of the positive PCR samples were not statistically different between sample types or farms. However, a significant difference (p < 0.05) was observed in the percentage of positive samples between the positive clinically affected farm and the rest. Likewise, M. hyopneumoniae was detected in the environment and surfaces at weaning in positive breeding herds. Further testing and validation is recommended for environmental and surface samples before they can be employed as part of the M. hyopneumoniae diagnostic process. In addition, results from this study highlight potential sources of M. hyopneumoniae infection for piglets in breeding herds, especially during an outbreak.
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http://dx.doi.org/10.1016/j.rvsc.2022.02.009 | DOI Listing |
Vet Sci
December 2024
School of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal 14884-900, SP, Brazil.
Respiratory diseases, such as pleurisy and pneumonia, cause significant health and economic losses in pig production. This study evaluated 867 finishing pigs from a farm with a history of respiratory issues, using macroscopic lesion scoring (SPES and CVPC), histopathological analysis, qPCR diagnostics, and economic modeling. Severe pleurisy (scores 3 and 4) was observed in 42.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China; GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, Taizhou 225300, China; School of Animal Medicine, Nanjing Agricultural University, Nanjing 210095, China. Electronic address:
Mycoplasma hyopneumoniae (M. hyo), a major respiratory pathogen in swine, causes chronic respiratory diseases characterized by severe lung inflammation. Alveolar macrophages, which serve as the first line of defense in the respiratory immune system, undergo necroptosis in response to M.
View Article and Find Full Text PDFJ Vet Med Sci
December 2024
Laboratory of Veterinary Infectious Disease, College of Veterinary Medicine, Jeonbuk National University.
Front Vet Sci
November 2024
College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.
(MPS), caused by (Mhp), is a chronic, airborne respiratory disease that poses a significant threat to the global swine industry. The P97 and P46 proteins are major antigens of Mhp, with the R1 region of P97 possessing full adhesive capability. Studies have shown that the main antigenic regions of Mhp P42 and P65 proteins exhibit strong immunogenicity.
View Article and Find Full Text PDFVet Sci
November 2024
Australian Centre for Antimicrobial Resistance Ecology, Faculty of Sciences, Engineering and Technology, School of Animal and Veterinary Science, The University of Adelaide, Adelaide, SA 5005, Australia.
Antimicrobial resistance (AMR) in , the causative agent of Enzootic Pneumonia in swine, poses a significant challenge to the swine industry. This review focuses on the genetic foundations of AMR in , highlighting the complexity of resistance mechanisms, including mutations, horizontal gene transfer, and adaptive evolutionary processes. Techniques such as Whole Genome Sequencing (WGS) and multiple-locus variable number tandem repeats analysis (MLVA) have provided insights into the genetic diversity and resistance mechanisms of .
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