A novel real time PCR assay for bovine leukemia virus detection using mixed probes and degenerate primers targeting novel BLV strains

2021 ◽  
pp. 114264
Author(s):  
Liushiqi Borjigin ◽  
Shuji Yoneyama ◽  
Susumu Saito ◽  
Meripet Polat ◽  
Michihito Inokuma ◽  
...  
Retrovirology ◽  
2011 ◽  
Vol 8 (S1) ◽  
Author(s):  
Gonzalo Rama ◽  
Gonzalo Moratorio ◽  
Gonzalo Greif ◽  
Gonzalo Obal ◽  
Sergio Bianchi ◽  
...  

2019 ◽  
Vol 263 ◽  
pp. 101-104 ◽  
Author(s):  
Nikolay Yu. Saushkin ◽  
Jeanne V. Samsonova ◽  
Alexander P. Osipov ◽  
Sergey E. Kondakov

2018 ◽  
Vol 56 (7) ◽  
pp. e00304-18 ◽  
Author(s):  
J. P. Jaworski ◽  
A. Pluta ◽  
M. Rola-Łuszczak ◽  
S. L. McGowan ◽  
C. Finnegan ◽  
...  

ABSTRACTQuantitative real-time PCR (qPCR) is increasingly being used for the detection of bovine leukemia virus (BLV) proviral DNA. Nevertheless, quality control for the validation and standardization of such tests is currently lacking. Therefore, the present study was initiated by three Office International des Epizooties (OIE) reference laboratories and three collaborating laboratories to measure the interlaboratory variability of six already developed and available BLV qPCR assays. For that purpose, an international panel of 58 DNA samples reflecting the dynamic range of the majority of the assays was distributed to six testing centers. Based on qualitative results, the overall agreement among all six laboratories was moderate. However, significant variability in the measurement of the BLV proviral DNA copy number was observed among different laboratories. Quantitative PCR assays, even when performed by experienced staff, can yield large variability in BLV proviral DNA copy numbers without harmonization. Further standardization of different factors (i.e., utilization of unified protocols and unique calibrators) should increase interlaboratory agreement.


2008 ◽  
Vol 123 (1-2) ◽  
pp. 81-89 ◽  
Author(s):  
Andrea N. Torres ◽  
Kevin P. O’Halloran ◽  
Laurie J. Larson ◽  
Ronald D. Schultz ◽  
Edward A. Hoover

Author(s):  
Antônio Augusto Fonseca Júnior ◽  
Luciana Rabello Ferreira ◽  
Mateus Laguardia- Nascimento ◽  
Anselmo Vasconcelos Rivetti Júnior ◽  
Bruna Lopes Bueno ◽  
...  

2020 ◽  
Author(s):  
Liushiqi Borjigin ◽  
Shuji Yoneyama ◽  
Susumu Saito ◽  
Polat Meripet ◽  
Michihito Inokuma ◽  
...  

Abstract Background: The bovine leukemia virus (BLV) is the causative agent of enzootic bovine leukosis, the most common neoplastic disease in cattle. The proviral load (PVL) is an important index for estimating disease progression. Previously, we developed a quantitative real-time PCR (qPCR) assay to measure the PVL of BLV using coordination of common motif (CoCoMo) degenerate primers that can amplify all known BLV strains. However, mutations, which potentially affect the detection ability, have been recently reported in the probe sequences of the long terminal regions (LTRs) of the BLV-CoCoMo-qPCR-2 assay. Here, we developed a new strategy to overcome these newly generated mutations located in the probe regions of this assay.Methods: We collected genomic DNA from 887 cows from 27 BLV-positive farms, using a nationwide survey conducted in 2011 and 2017 in Japan. BLV variants were investigated by quantifying the provirus using BLV-CoCoMo-qPCR-2 targeting the BLV LTR gene and the TaKaRa Cycleave PCR system targeting the BLV tax gene. Additionally, we sequenced the partial BLV LTR gene. The modified probes were designed to completely match the three BLV variants identified here, and the modified assay was established using mixed probes.Results: We found four single mutations within the probe region of the original BLV-CoCoMo-qPCR-2 assay, three of which negatively affected its sensitivity. Furthermore, we examined the optimum ratio of the concentration to be mixed with the wild type and three new BLV TaqMan probes were designed here using genomic DNAs extracted from cattle infected with the wild-type BLV strain and cattle infected with variants. Hence, we successfully established an improved BLV-CoCoMo-qPCR-3 assay that uses mixed probes corresponding to all three BLV variants. Conclusions: To overcome the loss of assay sensitivity due to newly emerging variants, we have established the BLV-CoCoMo-qPCR-3 assay that could amplify all BLV strains using newly designed mixed probes in addition to degenerate primers that were previously designed in our original assay. Our proposed method maintained the original sensitivity and reproducibility and can detect all mutant strains; thus, it is a useful tool to prevent the spread of BLV infections, especially those caused by newly emerging variants.


Biologija ◽  
2020 ◽  
Vol 66 (1) ◽  
Author(s):  
Simona Pilevičienė ◽  
Vaclovas Jurgelevičius ◽  
Žygimantas Janeliūnas ◽  
Gediminas Pridotkas ◽  
Petras Mačiulskis ◽  
...  

African swine fever (ASF) is a contagious disease of key importance that occurs in wild boar population and domestic pigs. To date, there is no vaccine or treatment available, hence disease surveillance and stamping out in case of an outbreak is the only way to control it. A duplex ASF-IC real-time PCR assay was optimised using field samples obtained in Lithuania and results of singleplex and duplex real-time PCR assays allowing the identification of the ASF virus were compared. The specificity and sensitivity of ASF virus detection was validated using a reference sample of positive and negative virus nucleic acid and ASF virus positive and negative samples obtained from animals in Lithuania. Results prove that duplex ASF-IC real-time PCR assay provides a rapid, sensitive, and reliable molecular tool for ASF virus detection in wild boar population and domestic pigs. In general, it was found that duplex ASF-IC real-time PCR assay proves to be faster and more sensitive than singleplex real-time PCR and therefore has a high potential to be applied in routine analysis.


2020 ◽  
Vol 23 (2) ◽  
pp. 20-27
Author(s):  
I.E. Gafarova ◽  
◽  
E.S. Lisitsina ◽  
Yu.A. Savochkina ◽  
N.V. Kirillova ◽  
...  

2013 ◽  
Vol 95 (3) ◽  
pp. 991-995 ◽  
Author(s):  
A. Forletti ◽  
M.A. Juliarena ◽  
C. Ceriani ◽  
A.F. Amadio ◽  
E. Esteban ◽  
...  

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