Literature DB >> 27889120

Comparison of commercial DNA extraction kits and quantitative PCR systems for better sensitivity in detecting the causative agent of paratuberculosis in dairy cow fecal samples.

D Fock-Chow-Tho1, E Topp2, E A Ibeagha-Awemu3, N Bissonnette4.   

Abstract

Mycobacterium avium ssp. paratuberculosis (MAP) causes ruminant paratuberculosis (Johne's disease) worldwide. Oral-fecal contamination is the most important mode of transmission of paratuberculosis, so eradicating MAP-shedding animals could prevent disease propagation. Fecal culture, a well-known method for MAP diagnosis, requires costly specialized media and a long incubation time that sometimes ends in disappointing bacterial contamination. To facilitate the efforts of control programs, we evaluated the performance of direct fecal quantitative PCR (qPCR) assays for their sensitivity and robustness for MAP detection. Commercial kits use different strategies for extracting DNA, combined with qPCR systems, to detect the presence of MAP in fecal samples. In this study, we compared the sensitivity of 3 commercially available DNA extraction kits (A, B, and C) combined with 2 qPCR systems (T and V) for the detection of MAP in infectious cows. A total of 49 dairy cows from 5 herds were sampled twice a year for 3 yr and diagnosed using fecal culture and ELISA. Eight replicates of their fecal samples from the first sampling were tested using each DNA extraction method and qPCR detection system. Although all 3 of the commercial DNA extraction kits have been previously described as very efficient for the diagnosis of paratuberculosis, kit B provided the highest sensitivity. Indeed, 89% of the cows declared positive for paratuberculosis by both fecal culture and ELISA were identified with kit B, whereas only 23 and 43% of the cows were identified with kits A and C, respectively. Interestingly, kit B was able to detect some low-MAP shedders. The qPCR detection system also played a critical role: system T yielded qPCR with the highest sensitivity. The results of this study suggest that DNA extraction kit B combined with detection system T provides the best amplification of MAP DNA from fecal samples with the highest sensitivity and specificity. Although 1 DNA extraction and qPCR analysis should be adequate to confirm that an animal with diarrhea or other signs of paratuberculosis is positive, detecting low shedders at the highest sensitivity should include repetitive testing. This study demonstrates the importance of repetitions using the most appropriate method for extracting DNA from fecal samples, combined with a compatible qPCR system for identifying MAP-shedding animals.
Copyright © 2017 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  bovine paratuberculosis; diagnosis; fecal DNA extraction kit; quantitative PCR

Mesh:

Substances:

Year:  2016        PMID: 27889120     DOI: 10.3168/jds.2016-11384

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  12 in total

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Authors:  Andrew Marete; Olivier Ariel; Eveline Ibeagha-Awemu; Nathalie Bissonnette
Journal:  Front Vet Sci       Date:  2021-04-22

2.  Estimation of the sensitivity and specificity of two serum ELISAs and one fecal qPCR for diagnosis of paratuberculosis in sub-clinically infected young-adult French sheep using latent class Bayesian modeling.

Authors:  Yoann Mathevon; Gilles Foucras; Rémy Falguières; Fabien Corbiere
Journal:  BMC Vet Res       Date:  2017-08-03       Impact factor: 2.741

3.  Low-depth genotyping-by-sequencing (GBS) in a bovine population: strategies to maximize the selection of high quality genotypes and the accuracy of imputation.

Authors:  Jean-Simon Brouard; Brian Boyle; Eveline M Ibeagha-Awemu; Nathalie Bissonnette
Journal:  BMC Genet       Date:  2017-04-05       Impact factor: 2.797

4.  Transcriptome Profiling of Bovine Macrophages Infected by Mycobacterium avium spp. paratuberculosis Depicts Foam Cell and Innate Immune Tolerance Phenotypes.

Authors:  Olivier Ariel; Daniel Gendron; Pier-Luc Dudemaine; Nicolas Gévry; Eveline M Ibeagha-Awemu; Nathalie Bissonnette
Journal:  Front Immunol       Date:  2020-01-08       Impact factor: 7.561

5.  Flock sensitivity and specificity of pooled fecal qPCR and pooled serum ELISA for screening ovine paratuberculosis.

Authors:  Yoann Mathevon; Gilles Foucras; Fabien Corbière
Journal:  PLoS One       Date:  2019-12-26       Impact factor: 3.240

6.  Genome-wide association analysis identified both RNA-seq and DNA variants associated to paratuberculosis in Canadian Holstein cattle 'in vitro' experimentally infected macrophages.

Authors:  Olivier Ariel; Jean-Simon Brouard; Andrew Marete; Filippo Miglior; Eveline Ibeagha-Awemu; Nathalie Bissonnette
Journal:  BMC Genomics       Date:  2021-03-07       Impact factor: 3.969

7.  Whole Genome Methylation Analysis Reveals Role of DNA Methylation in Cow's Ileal and Ileal Lymph Node Responses to Mycobacterium avium subsp. paratuberculosis Infection.

Authors:  Eveline M Ibeagha-Awemu; Nathalie Bissonnette; Suraj Bhattarai; Mengqi Wang; Pier-Luc Dudemaine; Stephanie McKay; Xin Zhao
Journal:  Front Genet       Date:  2021-12-21       Impact factor: 4.599

8.  Regionally Distinct Immune and Metabolic Transcriptional Responses in the Bovine Small Intestine and Draining Lymph Nodes During a Subclinical Mycobacterium avium subsp. paratuberculosis Infection.

Authors:  Eveline M Ibeagha-Awemu; Nathalie Bissonnette; Duy N Do; Pier-Luc Dudemaine; Mengqi Wang; Antonio Facciuolo; Philip Griebel
Journal:  Front Immunol       Date:  2021-12-15       Impact factor: 7.561

9.  A pilot study using environmental screening to determine the prevalence of Mycobacterium avium subspecies paratuberculosis (MAP) and antimicrobial resistance (AMR) in Irish cattle herds.

Authors:  Elvira Ramovic; Gillian Madigan; Shannon McDonnell; Denise Griffin; Elaine Bracken; Eadaoin NiGhallchoir; Emma Quinless; Aoife Galligan; John Egan; Deirdre M Prendergast
Journal:  Ir Vet J       Date:  2020-02-15       Impact factor: 2.146

Review 10.  miRNA Regulatory Functions in Farm Animal Diseases, and Biomarker Potentials for Effective Therapies.

Authors:  Duy N Do; Pier-Luc Dudemaine; Manisha Mathur; Prashanth Suravajhala; Xin Zhao; Eveline M Ibeagha-Awemu
Journal:  Int J Mol Sci       Date:  2021-03-17       Impact factor: 5.923

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