Literature DB >> 34550807

Evaluation of Nanopore Sequencing as a Diagnostic Tool for the Rapid Identification of Mycoplasma bovis from Individual and Pooled Respiratory Tract Samples.

Jade Bokma1,2, Nick Vereecke3,4, Filip Boyen2, Bart Pardon1, Mathilde L Pas1, Laurens Chantillon1, Marianne Vahl5, Eefke Weesendorp5, Ruud H Deurenberg5, Hans Nauwynck3,4, Freddy Haesebrouck2, Sebastiaan Theuns3,4.   

Abstract

Rapid identification of Mycoplasma bovis infections in cattle is a key factor to guide antimicrobial therapy and biosecurity measures. Recently, Nanopore sequencing became an affordable diagnostic tool for both clinically relevant viruses and bacteria, but the diagnostic accuracy for M. bovis identification is undocumented. Therefore, in this study Nanopore sequencing was compared to rapid identification of M. bovis with matrix-assisted laser desorption ionization-time of flight mass spectrometry (RIMM) and a triplex real-time PCR assay in a Bayesian latent class model (BLCM) for M. bovis in bronchoalveolar lavage fluid (BALf) samples obtained from calves. In practice, pooling of samples is often used to save money, but the influence on diagnostic accuracy has not been described for M. bovis. Therefore, a convenience sample of 17 pooled samples containing 5 individual BALf samples per farm was analyzed as well. The results for the pooled samples were compared with those for the individual samples to determine sensitivity and specificity. The BLCM showed good sensitivity (77.3% [95% credible interval, 57.8 to 92.8%]) and high specificity (97.4% [91.5 to 99.7%]) for Nanopore sequencing, compared to RIMM (sensitivity, 93.0% [76.8 to 99.5%]; specificity, 91.3% [82.5 to 97.0%]) and real-time PCR (sensitivity, 94.6% [89.7 to 97.7%]; specificity, 86.0% [76.1 to 93.6%]). Sensitivity and specificity of pooled analysis for M. bovis were 85.7% (95% confidence interval, 59.8 to 111.6%) and 90.0% (71.4 to 108.6%%), respectively, for Nanopore sequencing and 100% (100% to 100%) and 88.9% (68.4 to 109.4%) for RIMM. In conclusion, Nanopore sequencing is a rapid, reliable tool for the identification of M. bovis. To reduce costs and increase the chance of M. bovis identification, pooling of 5 samples for Nanopore sequencing and RIMM is possible.

Entities:  

Keywords:  Bayesian latent class model; MALDI-TOF MS; Mycoplasma species; bronchoalveolar lavage; selective-indicative agar

Mesh:

Year:  2021        PMID: 34550807      PMCID: PMC8601226          DOI: 10.1128/JCM.01110-21

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  47 in total

1.  Rapid method for direct identification of bacteria in urine and blood culture samples by matrix-assisted laser desorption ionization time-of-flight mass spectrometry: intact cell vs. extraction method.

Authors:  L Ferreira; F Sánchez-Juanes; J L Muñoz-Bellido; J M González-Buitrago
Journal:  Clin Microbiol Infect       Date:  2010-11-26       Impact factor: 8.067

2.  Mycoplasma bovis infections in cattle.

Authors:  F P Maunsell; A R Woolums; D Francoz; R F Rosenbusch; D L Step; D J Wilson; E D Janzen
Journal:  J Vet Intern Med       Date:  2011-07-11       Impact factor: 3.333

3.  Quantitative nested real-time PCR assay for assessing the clinical course of tuberculous meningitis.

Authors:  Teruyuki Takahashi; Masato Tamura; Sachiko Nonaka Takahashi; Koichi Matsumoto; Shigemasa Sawada; Eise Yokoyama; Tomohiro Nakayama; Tomohiko Mizutani; Toshiaki Takasu; Hiroki Nagase
Journal:  J Neurol Sci       Date:  2007-03-09       Impact factor: 3.181

Review 4.  Antimicrobial Resistance in Mycoplasma spp.

Authors:  Anne V Gautier-Bouchardon
Journal:  Microbiol Spectr       Date:  2018-07

5.  Mycoplasma detection by triplex real-time PCR in bronchoalveolar lavage fluid from bovine respiratory disease complex cases.

Authors:  Jan B W J Cornelissen; Freddy M de Bree; Fimme J van der Wal; Engbert A Kooi; Miriam G J Koene; Alex Bossers; Bregtje Smid; Adriaan F Antonis; Henk J Wisselink
Journal:  BMC Vet Res       Date:  2017-04-08       Impact factor: 2.741

6.  Nanopore sequencing as a revolutionary diagnostic tool for porcine viral enteric disease complexes identifies porcine kobuvirus as an important enteric virus.

Authors:  Sebastiaan Theuns; Bert Vanmechelen; Quinten Bernaert; Ward Deboutte; Marilou Vandenhole; Leen Beller; Jelle Matthijnssens; Piet Maes; Hans J Nauwynck
Journal:  Sci Rep       Date:  2018-06-29       Impact factor: 4.379

7.  Accuracy of transcranial magnetic stimulation and a Bayesian latent class model for diagnosis of spinal cord dysfunction in horses.

Authors:  Joke Rijckaert; Els Raes; Sebastien Buczinski; Michèle Dumoulin; Piet Deprez; Luc Van Ham; Gunther van Loon; Bart Pardon
Journal:  J Vet Intern Med       Date:  2020-02-06       Impact factor: 3.333

Review 8.  Mycoplasma bovis: Mechanisms of Resistance and Trends in Antimicrobial Susceptibility.

Authors:  Inna Lysnyansky; Roger D Ayling
Journal:  Front Microbiol       Date:  2016-04-27       Impact factor: 5.640

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  3 in total

1.  Evaluating the potential of third generation metagenomic sequencing for the detection of BRD pathogens and genetic determinants of antimicrobial resistance in chronically ill feedlot cattle.

Authors:  Claire N Freeman; Emily K Herman; Jennifer Abi Younes; Dana E Ramsay; Nathan Erikson; Paul Stothard; Matthew G Links; Simon J G Otto; Cheryl Waldner
Journal:  BMC Vet Res       Date:  2022-06-02       Impact factor: 2.792

Review 2.  Bovine respiratory microbiota of feedlot cattle and its association with disease.

Authors:  Jianmin Chai; Sarah F Capik; Beth Kegley; John T Richeson; Jeremy G Powell; Jiangchao Zhao
Journal:  Vet Res       Date:  2022-01-12       Impact factor: 3.683

3.  Molecular epidemiology of Porcine Parvovirus Type 1 (PPV1) and the reactivity of vaccine-induced antisera against historical and current PPV1 strains.

Authors:  Nick Vereecke; Lise Kirstine Kvisgaard; Guy Baele; Carine Boone; Marius Kunze; Lars Erik Larsen; Sebastiaan Theuns; Hans Nauwynck
Journal:  Virus Evol       Date:  2022-06-16
  3 in total

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