Literature DB >> 29621581

A multiplex real-time PCR assay, based on invA and pagC genes, for the detection and quantification of Salmonella enterica from cattle lymph nodes.

Jianfa Bai1, Valentina Trinetta2, Xiaorong Shi3, Lance W Noll4, Gabriela Magossi5, Wanglong Zheng6, Elizabeth P Porter4, Natalia Cernicchiaro3, David G Renter3, Tiruvoor G Nagaraja3.   

Abstract

Cattle lymph nodes can harbor Salmonella and potentially contaminate beef products. We have developed and validated a new real-time PCR (qPCR) assay for the detection and quantification of Salmonella enterica in cattle lymph nodes. The assay targets both the invA and pagC genes, the most conserved molecular targets in Salmonella enterica. An 18S rRNA gene assay that amplifies from cattle and other animal species was also included as an internal control. Available DNA sequences for invA, pagC and 18S rRNA genes were used for primer and probe selections. Three Salmonella serotypes, S. Typhimurium, S. Anatum, and S. Montevideo, were used to assess the assay's analytical sensitivity. Correlation coefficients of standard curves generated for each target and for all three serotypes were >99% and qPCR amplification efficiencies were between 93% and 110%. Assay sensitivity was also determined using standard curve data generated from Salmonella-negative cattle lymph nodes spiked with 10-fold dilutions of the three Salmonella serotypes. Assay specificity was determined using Salmonella culture method, and qPCR testing on 36 Salmonella strains representing 33 serotypes, 38 Salmonella strains of unknown serotypes, 252 E. coli strains representing 40 serogroups, and 31 other bacterial strains representing 18 different species. A collection of 647 cattle lymph node samples from steers procured from the Midwest region of the US were tested by the qPCR, and compared to culture-method of detection. Salmonella prevalence by qPCR for pre-enriched and enriched lymph nodes was 19.8% (128/647) and 94.9% (614/647), respectively. A majority of qPCR positive pre-enriched samples (105/128) were at concentrations between 104 and 105 CFU/mL. Culture method detected Salmonella in 7.7% (50/647) and 80.7% (522/647) of pre- and post-enriched samples, respectively; 96.0% (48/50) of pre-enriched and 99.4% (519/522) of post-enriched culture-positive samples were also positive by qPCR. More samples tested positive by qPCR than by culture method, indicating that the real-time PCR assay was more sensitive. Our data indicate that this triplex qPCR can be used to accurately detect and quantify Salmonella enterica strains from cattle lymph node samples. The assay may serve as a useful tool to monitor the prevalence of Salmonella in beef production systems.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cattle; Internal control; Lymph nodes; Molecular diagnostics; Multiplex PCR; Real-time PCR; Salmonella

Mesh:

Substances:

Year:  2018        PMID: 29621581     DOI: 10.1016/j.mimet.2018.03.019

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


  12 in total

Review 1.  Lactic Acid Bacteria as Antibacterial Agents to Extend the Shelf Life of Fresh and Minimally Processed Fruits and Vegetables: Quality and Safety Aspects.

Authors:  Sofia Agriopoulou; Eygenia Stamatelopoulou; Monika Sachadyn-Król; Theodoros Varzakas
Journal:  Microorganisms       Date:  2020-06-24

2.  Molecular identification and antibiotic resistance profiling of Salmonella species isolated from chickens in eastern Turkey.

Authors:  Aydogan Arkali; Burhan Çetinkaya
Journal:  BMC Vet Res       Date:  2020-06-19       Impact factor: 2.741

3.  Draft Genome Sequences of 57 Salmonella enterica Strains from Selected U.S. Swine Feed Mills.

Authors:  Sara Lomonaco; Gabriela Magossi; Maria Sanchez Leon; Daniela Miller; George J Kastanis; Sandra M Tallent; Marc W Allard; Eric W Brown; Valentina Trinetta
Journal:  Microbiol Resour Announc       Date:  2018-11-01

4.  Evaluation of Salmonella presence in selected United States feed mills.

Authors:  Gabriela Magossi; Natalia Cernicchiaro; Steve Dritz; Terry Houser; Jason Woodworth; Cassandra Jones; Valentina Trinetta
Journal:  Microbiologyopen       Date:  2018-08-29       Impact factor: 3.139

Review 5.  Detection of Salmonella in Food Matrices, from Conventional Methods to Recent Aptamer-Sensing Technologies.

Authors:  Nathalie Paniel; Thierry Noguer
Journal:  Foods       Date:  2019-09-01

6.  A multiplex real-time PCR assay for the detection and differentiation of five bovine pinkeye pathogens.

Authors:  Wanglong Zheng; Elizabeth Porter; Lance Noll; Colin Stoy; Nanyan Lu; Yin Wang; Xuming Liu; Tanya Purvis; Lalitha Peddireddi; Brian Lubbers; Gregg Hanzlicek; Jamie Henningson; Zongping Liu; Jianfa Bai
Journal:  J Microbiol Methods       Date:  2019-03-29       Impact factor: 2.363

7.  A multiplex real-time PCR assay for the detection and differentiation of the newly emerged porcine circovirus type 3 and continuously evolving type 2 strains in the United States.

Authors:  Yin Wang; Yuan Feng; Wanglong Zheng; Lance Noll; Elizabeth Porter; Megan Potter; Giselle Cino; Lalitha Peddireddi; Xuming Liu; Gary Anderson; Jianfa Bai
Journal:  J Virol Methods       Date:  2019-03-20       Impact factor: 2.014

8.  Detection of Campylobacter jejuni and Salmonella typhimurium in chicken using PCR for virulence factor hipO and invA genes (Saudi Arabia).

Authors:  Khaloud M Alarjani; Manal F Elkhadragy; Abdulrahman H Al-Masoud; Hany M Yehia
Journal:  Biosci Rep       Date:  2021-09-30       Impact factor: 3.840

9.  Comparison data of a two-target real-time PCR assay with and without an internal control in detecting Salmonella enterica from cattle lymph nodes.

Authors:  Jianfa Bai; Valentina Trinetta; Xiaorong Shi; Lance W Noll; Gabriela Magossi; Wanglong Zheng; Elizabeth P Porter; Natalia Cernicchiaro; David G Renter; Tiruvoor G Nagaraja
Journal:  Data Brief       Date:  2018-04-22

Review 10.  Recent Advances in the Detection of Antibiotic and Multi-Drug Resistant Salmonella: An Update.

Authors:  Siying Wu; John P Hulme
Journal:  Int J Mol Sci       Date:  2021-03-28       Impact factor: 5.923

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