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Zhang Y, Wang Z, Wang W, Yu H, Jin M. Applications of polymerase chain reaction‑based methods for the diagnosis of plague (Review). Exp Ther Med 2022; 24:511. [DOI: 10.3892/etm.2022.11438] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 04/22/2022] [Indexed: 11/05/2022] Open
Affiliation(s)
- Yanan Zhang
- Inner Mongolia Key Laboratory of Disease‑Related Biomarkers, Baotou Medical College, Baotou, Inner Mongolia 014060, P.R. China
| | - Zhanli Wang
- Inner Mongolia Key Laboratory of Disease‑Related Biomarkers, Baotou Medical College, Baotou, Inner Mongolia 014060, P.R. China
| | - Wenrui Wang
- General Center for Disease Control and Prevention of Inner Mongolia Autonomous Region, Huhehot, Inner Mongolia 010031, P.R. China
| | - Hui Yu
- Inner Mongolia Key Laboratory of Disease‑Related Biomarkers, Baotou Medical College, Baotou, Inner Mongolia 014060, P.R. China
| | - Min Jin
- Inner Mongolia Key Laboratory of Disease‑Related Biomarkers, Baotou Medical College, Baotou, Inner Mongolia 014060, P.R. China
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Afroj S, Aldahami K, Reddy G, Guard J, Adesiyun A, Samuel T, Abdela W. Simultaneous Detection of Multiple Salmonella Serovars from Milk and Chicken Meat by Real-Time PCR Using Unique Genomic Target Regions. J Food Prot 2017; 80:1944-1957. [PMID: 29058479 DOI: 10.4315/0362-028x.jfp-17-133] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Accepted: 07/19/2017] [Indexed: 12/29/2022]
Abstract
A novel genomic and plasmid target-based PCR platform was developed for the detection of Salmonella serovars Heidelberg, Dublin, Hadar, Kentucky, and Enteritidis. Unique genome loci were obtained through extensive genome mining of protein databases and comparative genomic analysis of these serovars. Assays targeting Salmonella serovars Hadar, Heidelberg, Kentucky, and Dublin had 100% specificity and sensitivity, whereas those for Salmonella Enteritidis had 97% specificity and 88% sensitivity. The limits of detection for Salmonella serovars Heidelberg, Kentucky, Hadar, Enteritidis, and Dublin were 12, 9, 40, 13, and 5,280 CFU, respectively. A sensitivity assay was also performed by using milk artificially inoculated with pooled Salmonella serovars, yielding a detection limit of 1 to10 CFU/25 mL of milk samples after enrichment. The minimum DNA detected using the multiplexed TaqMan assay was 75.8 fg (1.53 × 101 genomic equivalents [GE]) for Salmonella Heidelberg, 140.8 fg (2.8 × 101 GE) for Salmonella Enteritidis, and 3.48 pg (6.96 × 102 GE) for Salmonella Dublin. PCR efficiencies were 89.8% for Salmonella Heidelberg, 94.5% for Salmonella Enteritidis, and 75.5% for Salmonella Dublin. Four types of 30 pasteurized milk samples were tested negative by culture techniques and with a genus-specific Salmonella invA gene PCR assay. Among 30 chicken samples similarly tested, 12 (40%) were positive by both culture and the invA PCR. Testing of these 12 samples with the serovar-specific PCR assay detected single and mixed contamination with Salmonella Kentucky, Salmonella Enteritidis, and Salmonella Heidelberg. Five unique primers were designed and tested by multiplex conventional PCR in conjunction with the use of the multiplex TaqMan assay with three of the primers. The diagnostic assays developed in this study could be used as tools for routine detection of these five Salmonella serovars and for epidemiological investigations of foodborne disease outbreaks.
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Affiliation(s)
- Sayma Afroj
- Department of Biology and.,Department of Pathobiology, College of Veterinary Medicine, Tuskegee University, Tuskegee, Alabama 36088, USA (ORCID: http://orcid.org/0000-0002-9262-5117 [W.A.]).,Cellular and Molecular Biosciences Program, Auburn University, Auburn, Alabama 36849, USA
| | - Khaled Aldahami
- Department of Pathobiology, College of Veterinary Medicine, Tuskegee University, Tuskegee, Alabama 36088, USA (ORCID: http://orcid.org/0000-0002-9262-5117 [W.A.])
| | - Gopal Reddy
- Department of Pathobiology, College of Veterinary Medicine, Tuskegee University, Tuskegee, Alabama 36088, USA (ORCID: http://orcid.org/0000-0002-9262-5117 [W.A.])
| | - Jean Guard
- U.S. Department of Agriculture, Agricultural Research Service, Athens, Georgia 30602, USA
| | - Abiodun Adesiyun
- School of Veterinary Medicine, Faculty of Medical Sciences, University of the West Indies, St. Augustine, Trinidad and Tobago
| | - Temesgen Samuel
- Department of Pathobiology, College of Veterinary Medicine, Tuskegee University, Tuskegee, Alabama 36088, USA (ORCID: http://orcid.org/0000-0002-9262-5117 [W.A.])
| | - Woubit Abdela
- Department of Pathobiology, College of Veterinary Medicine, Tuskegee University, Tuskegee, Alabama 36088, USA (ORCID: http://orcid.org/0000-0002-9262-5117 [W.A.])
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3
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Ferrario C, Lugli GA, Ossiprandi MC, Turroni F, Milani C, Duranti S, Mancabelli L, Mangifesta M, Alessandri G, van Sinderen D, Ventura M. Next generation sequencing-based multigene panel for high throughput detection of food-borne pathogens. Int J Food Microbiol 2017; 256:20-29. [PMID: 28578266 DOI: 10.1016/j.ijfoodmicro.2017.05.001] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Revised: 04/28/2017] [Accepted: 05/02/2017] [Indexed: 01/20/2023]
Abstract
Contamination of food by chemicals or pathogenic bacteria may cause particular illnesses that are linked to food consumption, commonly referred to as foodborne diseases. Bacteria are present in/on various foods products, such as fruits, vegetables and ready-to-eat products. Bacteria that cause foodborne diseases are known as foodborne pathogens (FBPs). Accurate detection methods that are able to reveal the presence of FBPs in food matrices are in constant demand, in order to ensure safe foods with a minimal risk of causing foodborne diseases. Here, a multiplex PCR-based Illumina sequencing method for FBP detection in food matrices was developed. Starting from 25 bacterial targets and 49 selected PCR primer pairs, a primer collection called foodborne pathogen - panel (FPP) consisting of 12 oligonucleotide pairs was developed. The FPP allows a more rapid and reliable identification of FBPs compared to classical cultivation methods. Furthermore, FPP permits sensitive and specific FBP detection in about two days from food sample acquisition to bioinformatics-based identification. The FPP is able to simultaneously identify eight different bacterial pathogens, i.e. Listeria monocytogenes, Campylobacter jejuni, Campylobacter coli, Salmonella enterica subsp. enterica serovar enteritidis, Escherichia coli, Shigella sonnei, Staphylococcus aureus and Yersinia enterocolitica, in a given food matrix at a threshold contamination level of 101cell/g. Moreover, this novel detection method may represent an alternative and/or a complementary approach to PCR-based techniques, which are routinely used for FBP detection, and could be implemented in (parts of) the food chain as a quality check.
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Affiliation(s)
- Chiara Ferrario
- Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy
| | - Gabriele Andrea Lugli
- Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy
| | | | - Francesca Turroni
- Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy
| | - Christian Milani
- Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy
| | - Sabrina Duranti
- Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy
| | - Leonardo Mancabelli
- Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy
| | | | - Giulia Alessandri
- Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy
| | - Douwe van Sinderen
- APC Microbiome Institute, School of Microbiology, Bioscience Institute, National University of Ireland, Cork, Ireland
| | - Marco Ventura
- Laboratory of Probiogenomics, Department of Life Sciences, University of Parma, Parma, Italy.
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4
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Mack JD, Yehualaeshet T, Park M, Tameru B, Samuel T, Chin BA. Phage‐Based Biosensor and Optimization of Surface Blocking Agents to Detect
Salmonella
Typhimurium on Romaine Lettuce. J Food Saf 2016. [DOI: 10.1111/jfs.12299] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Jacqueline D. Mack
- Department of Pathobiology, College of Veterinary Medicine, Nursing and Allied HealthTuskegee UniversityTuskegee AL36088
| | - Teshome Yehualaeshet
- Department of Pathobiology, College of Veterinary Medicine, Nursing and Allied HealthTuskegee UniversityTuskegee AL36088
| | - Mi‐Kyung Park
- Kyungpook National UniversitySchool of Food Science and BiotechnologyDaegu Korea
| | - Berhanu Tameru
- Department of Pathobiology, Center for Computational EpidemiologyBioinformatics and Risk Analysis and Biomedical Information Management Systems, Tuskegee UniversityTuskegee AL36088
| | - Temesgen Samuel
- Department of Pathobiology, College of Veterinary Medicine, Nursing and Allied HealthTuskegee UniversityTuskegee AL36088
| | - Bryan A. Chin
- Department of Materials Engineering, Material Research and Education CenterAuburn UniversityAuburn AL36832
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Zhai L, Kong X, Lu Z, Lv F, Zhang C, Bie X. Detection of Salmonella enterica serovar Dublin by polymerase chain reaction in multiplex format. J Microbiol Methods 2014; 100:52-7. [DOI: 10.1016/j.mimet.2014.02.014] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2013] [Revised: 02/25/2014] [Accepted: 02/25/2014] [Indexed: 11/28/2022]
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Woubit A, Yehualaeshet T, Roberts S, Graham M, Kim M, Samuel T. Customizable PCR-microplate array for differential identification of multiple pathogens. J Food Prot 2013; 76:1948-57. [PMID: 24215700 PMCID: PMC4269242 DOI: 10.4315/0362-028x.jfp-13-153] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Customizable PCR-microplate arrays were developed for the rapid identification of Salmonella Typhimurium, Salmonella Saintpaul, Salmonella Typhi, Shigella dysenteriae, Escherichia coli O157:H7, Francisella tularensis subsp. tularensis, Francisella tularensis subsp. novicida, Vibrio cholerae, Vibrio parahaemolyticus, Yersinia pestis, and Yersinia pseudotuberculosis. Previously, we identified highly specific primers targeting each of these pathogens. Here, we report the development of customizable PCR-microplate arrays for simultaneous identification of the pathogens using the primers identified. A mixed aliquot of genomic DNA from 38 strains was used to validate three PCR-microplate array formats. Identical PCR conditions were used to run all the samples on the three formats. Specific amplifications were obtained on all three custom plates. In preliminary tests performed to evaluate the sensitivity of these assays in samples inoculated in the laboratory with Salmonella Typhimurium, amplifications were obtained from 1 g of beef hot dog inoculated at as low as 9 CFU/ml or from milk inoculated at as low as 78 CFU/ml. Such microplate arrays could be valuable tools for initial identification or secondary confirmation of contamination by these pathogens.
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Affiliation(s)
- Abdela Woubit
- Department of Pathobiology, College of Veterinary Medicine, Nursing and Allied Health, Tuskegee University, Tuskegee, Alabama 36088, USA.
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Amoako KK, Janzen TW, Shields MJ, Hahn KR, Thomas MC, Goji N. Rapid detection and identification of Bacillus anthracis in food using pyrosequencing technology. Int J Food Microbiol 2013; 165:319-25. [DOI: 10.1016/j.ijfoodmicro.2013.05.028] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2012] [Revised: 04/23/2013] [Accepted: 05/29/2013] [Indexed: 12/22/2022]
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A New Generation Microarray for the Simultaneous Detection and Identification of Yersinia pestis and Bacillus anthracis in Food. J Pathog 2012; 2012:627036. [PMID: 23125935 PMCID: PMC3483683 DOI: 10.1155/2012/627036] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2012] [Revised: 08/02/2012] [Accepted: 08/05/2012] [Indexed: 11/17/2022] Open
Abstract
The use of microarrays as a multiple analytic system has generated increased interest and provided a powerful analytical tool for the simultaneous detection of pathogens in a single experiment. A wide array of applications for this technology has been reported. A low density oligonucleotide microarray was generated from the genetic sequences of Y. pestis and B. anthracis and used to fabricate a microarray chip. The new generation chip, consisting of 2,240 spots in 4 quadrants with the capability of stripping/rehybridization, was designated as “Y-PESTIS/B-ANTHRACIS 4x2K Array.” The chip was tested for specificity using DNA from a panel of bacteria that may be potentially present in food. In all, 37 unique Y. pestis-specific and 83 B. anthracis-specific probes were identified. The microarray assay distinguished Y. pestis and B. anthracis from the other bacterial species tested and correctly identified the Y. pestis-specific oligonucleotide probes using DNA extracted from experimentally inoculated milk samples. Using a whole genome amplification method, the assay was able to detect as low as 1 ng genomic DNA as the start sample. The results suggest that oligonucleotide microarray can specifically detect and identify Y. pestis and B. anthracis and may be a potentially useful diagnostic tool for detecting and confirming the organisms in food during a bioterrorism event.
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