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BLV-CoCoMo Dual qPCR Assay Targeting LTR Region for Quantifying Bovine Leukemia Virus: Comparison with Multiplex Real-Time qPCR Assay Targeting Region.
Pathogens
December 2024
Laboratory of Global Infectious Diseases Control Science, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan.
The proviral load (PVL) of the bovine leukemia virus (BLV) is a useful index for estimating disease progression and transmission risk. Real-time quantitative PCR techniques are widely used for PVL quantification. We previously developed a dual-target detection method, the "Liquid Dual-CoCoMo assay", that uses the coordination of common motif (CoCoMo) degenerate primers.
View Article and Find Full Text PDFDirect TaqMan assay for the detection and genotyping of bovine viral diarrhea virus types 1 and 2.
Arch Virol
December 2024
Center for Animal Disease Control, University of Miyazaki, Miyazaki, 889-2192, Japan.
Bovine viral diarrhea (BVD), caused by bovine viral diarrhea virus (BVDV), has a significant economic impact on affected farms worldwide. For effective disease control, it is crucial to select an appropriate vaccine based on the specific genotype of BVDV. Therefore, developing a rapid and reliable assay to detect and genotype BVDV is imperative for controlling the spread of disease.
View Article and Find Full Text PDFBackground: Bovine leukaemia virus (BLV)-infected Holstein cattle carrying certain bovine leukocyte antigen (BoLA)-DRB3 alleles were previously shown to be resistant to BLV provirus multiplication, while those carrying other alleles were susceptible. This study aimed to determine whether the BoLA-DRB3 alleles carried by BLV-infected cattle could predict proviral load (PVL) and peripheral blood lymphocyte (PBL) count distribution (PVL/PBL distribution).
Methods: Blood samples from Holstein cattle on four dairy farms were tested for the presence of BLV antibodies using a commercial ELISA.
Using supervised machine learning algorithms to predict bovine leukemia virus seropositivity in dairy cattle in Florida: A 10-year retrospective study.
Prev Vet Med
November 2024
Department of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL 32610, USA. Electronic address:
Supervised machine-learning (SML) algorithms are potentially powerful tools that may be used for screening cows for infectious diseases such as bovine leukemia virus (BLV) infection. Here, we compared six different SML algorithms to identify the most important risk factors for predicting BLV seropositivity in dairy cattle in Florida. We used a dataset of 1279 dairy blood sample records from the Bronson Animal Disease Diagnostic Laboratory that were submitted for BLV antibody testing from 2012 to 2022.
View Article and Find Full Text PDFBiosecurity Practices for Mycobacterium aviun subspecies paratuberculosis Infection, Salmonellosis, and Bovine Leukemia Virus on Cattle Operations.
Vet Clin North Am Food Anim Pract
December 2024
Department of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80523, USA.
Mycobacterium avium subspecies paratuberculosis infection, salmonellosis, and bovine leukosis virus are important dairy and beef cattle diseases from a health perspective. For herds without infection, keeping the disease out through testing of source herds should be prioritized. For herds with infection, control programs should be instituted and followed to reduce the prevalence and ultimately eliminate the disease.
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