Literature DB >> 31837972

A direct qPCR screening approach to improve the efficiency of Mycoplasma bovis isolation in the frame of a broad surveillance study.

Sara Andrés-Lasheras1, Rahat Zaheer1, Reuben Ha1, Catrione Lee1, Murray Jelinski2, Tim A McAllister3.   

Abstract

Culturing Mycoplasma bovis is laborious and unpredictable with most laboratories relying on molecular methods for its detection and identification. However, bacterial culture is still necessary to relate phenotypic characteristics to genotypic traits within and between individual strains. Thus, the main objective of this study was to develop a procedure that saved time and consumables during the culturing of M. bovis within the scope of a broad antimicrobial resistance surveillance project. Deep nasopharyngeal swabs (DNPS) collected from feedlot cattle upon arrival at 10 Southern Alberta feedlots were enriched in broth and an aliquot of the culture was directly used in a M. bovis-specific quantitative PCR (qPCR) assay. Only qPCR-positive cultures were plated onto agar media for the isolation of M. bovis. The detection of M. bovis from broth culture by direct-culture-qPCR proved to be more sensitive (1.61 × 102 CFU/mL) than using a commercial kit (1.61 × 103 CFU/mL) to extract DNA from pure cultures of M. bovis. When isolation of M. bovis from broth-enriched DNPS (n = 208 samples) was used as the gold standard for diagnostics, the qPCR screening approach showed 100% sensitivity, 87.27% specificity, and a kappa index = 0.87 (strong agreement). In contrast, qPCR of DNPS samples (n = 58) exhibited 100% sensitivity, 42.86% specificity, and a kappa index = 0.49 (weak agreement). The qPCR protocol described here together with a high throughput direct-culture-qPCR approach for sample testing made it possible to reduce the labor and cost of M. bovis isolation by eliminating the need to process 97.3% of M. bovis-negative samples. This was possible through the use of qPCR Ct values as a predictive tool of the likelihood of M. bovis isolation. This new procedure could be evaluated for its use in antimicrobial resistance surveillance programs that focus on Mycoplasma species. Crown
Copyright © 2019. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bovine respiratory disease; Cattle; Mycoplasma bovis; Quantitative PCR; Surveillance

Mesh:

Year:  2019        PMID: 31837972     DOI: 10.1016/j.mimet.2019.105805

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  5 in total

Review 1.  Bovine Respiratory Disease: Conventional to Culture-Independent Approaches to Studying Antimicrobial Resistance in North America.

Authors:  Sara Andrés-Lasheras; Murray Jelinski; Rahat Zaheer; Tim A McAllister
Journal:  Antibiotics (Basel)       Date:  2022-04-05

2.  A Sensitive and Accurate Recombinase Polymerase Amplification Assay for Detection of the Primary Bacterial Pathogens Causing Bovine Respiratory Disease.

Authors:  Cheyenne C Conrad; Rana K Daher; Kim Stanford; Kingsley K Amoako; Maurice Boissinot; Michel G Bergeron; Trevor Alexander; Shaun Cook; Brenda Ralston; Rahat Zaheer; Yan D Niu; Tim McAllister
Journal:  Front Vet Sci       Date:  2020-04-22

3.  Meta-Analysis of qPCR for Bovine Respiratory Disease Based on MIQE Guidelines.

Authors:  Rebecca J Barnewall; Ian B Marsh; Jane C Quinn
Journal:  Front Mol Biosci       Date:  2022-07-18

Review 4.  Mycoplasma bovis Mastitis.

Authors:  Aga E Gelgie; Mesula G Korsa; Oudessa Kerro Dego
Journal:  Curr Res Microb Sci       Date:  2022-02-24

5.  Prevalence and Risk Factors Associated With Antimicrobial Resistance in Bacteria Related to Bovine Respiratory Disease-A Broad Cross-Sectional Study of Beef Cattle at Entry Into Canadian Feedlots.

Authors:  Sara Andrés-Lasheras; Reuben Ha; Rahat Zaheer; Catrione Lee; Calvin W Booker; Craig Dorin; Joyce Van Donkersgoed; Rob Deardon; Sheryl Gow; Sherry J Hannon; Steve Hendrick; Michele Anholt; Tim A McAllister
Journal:  Front Vet Sci       Date:  2021-07-01
  5 in total

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