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Comparison of Automated Ribotyping, spa Typing, and MLST in 108 Clinical Isolates of Staphylococcus aureus from Orthopedic Infections. Int J Mol Sci 2022; 23:ijms23031660. [PMID: 35163582 PMCID: PMC8835750 DOI: 10.3390/ijms23031660] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/20/2022] [Accepted: 01/25/2022] [Indexed: 12/04/2022] Open
Abstract
108 isolates of Staphylococcus aureus, belonging to six large ribogroups according to the automated Ribo-Printer® system, were studied with two highly used molecular methods for epidemiological studies, namely multi-locus sequence typing (MLST) and spa typing, followed by BURP and eBURST v3 analysis for clustering spa types and sequence (ST) types. The aim was to evaluate whether automated ribotyping could be considered a useful screening tool for identifying S. aureus genetic lineages with respect to spa typing and MLST. Clarifying the relationship of riboprinting with these typing methods and establishing whether ribogroups fit single clonal complexes were two main objectives. Further information on the genetic profile of the isolates was obtained from agr typing and the search for the mecA, tst genes, and the IS256 insertion sequence. Automated ribotyping has been shown to predict spa clonal complexes and MLST clonal complexes. The high cost and lower discriminatory power of automated ribotyping compared to spa and MSLT typing could be an obstacle to fine genotyping analyzes, especially when high discriminatory power is required. On the other hand, numerous advantages such as automation, ease and speed of execution, stability, typeability and reproducibility make ribotyping a reliable method to be juxtaposed to gold standard methods.
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Ferrari RG, Panzenhagen PHN, Conte-Junior CA. Phenotypic and Genotypic Eligible Methods for Salmonella Typhimurium Source Tracking. Front Microbiol 2017; 8:2587. [PMID: 29312260 PMCID: PMC5744012 DOI: 10.3389/fmicb.2017.02587] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Accepted: 12/12/2017] [Indexed: 11/13/2022] Open
Abstract
Salmonellosis is one of the most common causes of foodborne infection and a leading cause of human gastroenteritis. Throughout the last decade, Salmonella enterica serotype Typhimurium (ST) has shown an increase report with the simultaneous emergence of multidrug-resistant isolates, as phage type DT104. Therefore, to successfully control this microorganism, it is important to attribute salmonellosis to the exact source. Studies of Salmonella source attribution have been performed to determine the main food/food-production animals involved, toward which, control efforts should be correctly directed. Hence, the election of a ST subtyping method depends on the particular problem that efforts must be directed, the resources and the data available. Generally, before choosing a molecular subtyping, phenotyping approaches such as serotyping, phage typing, and antimicrobial resistance profiling are implemented as a screening of an investigation, and the results are computed using frequency-matching models (i.e., Dutch, Hald and Asymmetric Island models). Actually, due to the advancement of molecular tools as PFGE, MLVA, MLST, CRISPR, and WGS more precise results have been obtained, but even with these technologies, there are still gaps to be elucidated. To address this issue, an important question needs to be answered: what are the currently suitable subtyping methods to source attribute ST. This review presents the most frequently applied subtyping methods used to characterize ST, analyses the major available microbial subtyping attribution models and ponders the use of conventional phenotyping methods, as well as, the most applied genotypic tools in the context of their potential applicability to investigates ST source tracking.
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Affiliation(s)
- Rafaela G. Ferrari
- Molecular and Analytical Laboratory Center, Department of Food Technology, Faculty of Veterinary, Universidade Federal Fluminense, Niterói, Brazil
- Food Science Program, Chemistry Institute, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Pedro H. N. Panzenhagen
- Molecular and Analytical Laboratory Center, Department of Food Technology, Faculty of Veterinary, Universidade Federal Fluminense, Niterói, Brazil
- Food Science Program, Chemistry Institute, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Carlos A. Conte-Junior
- Molecular and Analytical Laboratory Center, Department of Food Technology, Faculty of Veterinary, Universidade Federal Fluminense, Niterói, Brazil
- Food Science Program, Chemistry Institute, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- National Institute of Health Quality Control, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
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Abstract
Foodborne diseases represent a significant public health burden to the United States, considering that they cause illness in 1 in 6 people annually, which amounts to ∼48 million people (E. Scallan, R. M. Hoekstra, F. J. Angulo, R. V. Tauxe, M. A. Widdowson, S. L. Roy, J. L. Jones, and P. M. Griffin, Emerg Infect Dis 17:7-15, 2011). The average national cost of illness associated with 30 foodborne pathogens is estimated to be $55.5 to $93.2 billion based on two cost-of-illness models (R.L. Scharff, J Food Prot 78:1064-1071, 2015). Predominately, foodborne illnesses are the result of accidental contamination or unintentional mishandling of food materials during the farm-to-table continuum. Nevertheless, principles and methodologies derived from microbial forensics are applied in foodborne outbreaks investigation to determine the source of the pathogen. Drawing from multiple real-life examples and case studies, this review discusses how the current food industry practice, demography, and consumer preference are shaping the landscape of food safety. The approaches to source tracking, or traceback, are described, with a focus on bacterial pathogens associated with food-producing animals. Current challenges and opportunities in microbial forensics in food safety are also addressed.
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Suardana IW, Widiasih DA, Mahardika IGNK, Pinatih KJP, Daryono BS. Evaluation of zoonotic potency of Escherichia coli O157:H7 through arbitrarily primed PCR methods. Asian Pac J Trop Biomed 2015. [DOI: 10.1016/j.apjtb.2015.07.023] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Abstract
Ribotyping is a molecular technique that allows identification and typing of bacteria to the strain level. It is based on restriction endonuclease cleavage of total genomic DNA followed by electrophoretic separation, Southern blot transfer, and hybridization of transferred DNA fragments with a radiolabeled ribosomal operon probe. Following autoradiography, only those bands containing a portion of the ribosomal operon are visualized. The number of fragments generated by ribotyping is a reflection of the multiplicity of rRNA operons present in a bacterial species.Automated Ribotyping-AR (RiboPrinter) is a commercially available instrument with a high level of reproducibility and standardization. The RiboPrinter automates all of the steps in the process from cell lysis to data capture and database comparisons. Further, reagent cassettes including the enzymes, enzyme conjugated-hybridization probe, electrophoretic gel, and membrane have been developed to deliver consistent performance. Data capture is accomplished via a CCD camera and the gel patterns obtained stored in a digitized format, making it easier to compare results among laboratories and to exchange data electronically.
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Scientific Opinion on the evaluation of molecular typing methods for major food‐borne microbiological hazards and their use for attribution modelling, outbreak investigation and scanning surveillance: Part 1 (evaluation of methods and applications). EFSA J 2013. [DOI: 10.2903/j.efsa.2013.3502] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
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Schumann P, Pukall R. The discriminatory power of ribotyping as automatable technique for differentiation of bacteria. Syst Appl Microbiol 2013; 36:369-75. [DOI: 10.1016/j.syapm.2013.05.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2012] [Revised: 05/17/2013] [Accepted: 05/28/2013] [Indexed: 10/26/2022]
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Barco L, Barrucci F, Olsen JE, Ricci A. Salmonella source attribution based on microbial subtyping. Int J Food Microbiol 2013; 163:193-203. [PMID: 23562696 DOI: 10.1016/j.ijfoodmicro.2013.03.005] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2012] [Revised: 01/20/2013] [Accepted: 03/02/2013] [Indexed: 10/27/2022]
Abstract
Source attribution of cases of food-borne disease represents a valuable tool for identifying and prioritizing effective food-safety interventions. Microbial subtyping is one of the most common methods to infer potential sources of human food-borne infections. So far, Salmonella microbial subtyping source attribution models have been implemented by using serotyping and phage-typing data. Molecular-based methods may prove to be similarly valuable in the future, as already demonstrated for other food-borne pathogens like Campylobacter. This review assesses the state of the art concerning Salmonella source attribution through microbial subtyping approach. It summarizes the available microbial subtyping attribution models and discusses the use of conventional phenotypic typing methods, as well as of the most commonly applied molecular typing methods in the European Union (EU) laboratories in the context of their potential applicability for Salmonella source attribution studies.
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Affiliation(s)
- Lisa Barco
- OIE, National Reference Laboratory for Salmonella, Istituto Zooprofilattico Sperimentale delle Venezie, Viale dell'Università 10, Padova, 35020 Legnaro, Italy
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Ahmed MU, Dunn L, Ivanova EP. Evaluation of Current Molecular Approaches for Genotyping ofCampylobacter jejuniStrains. Foodborne Pathog Dis 2012; 9:375-85. [DOI: 10.1089/fpd.2011.0988] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Monir U. Ahmed
- Faculty of Life & Social Sciences, Swinburne University of Technology, Hawthorn, Australia
| | - Louise Dunn
- Faculty of Life & Social Sciences, Swinburne University of Technology, Hawthorn, Australia
| | - Elena P. Ivanova
- Faculty of Life & Social Sciences, Swinburne University of Technology, Hawthorn, Australia
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Eberle KN, Kiess AS. Phenotypic and genotypic methods for typing Campylobacter jejuni and Campylobacter coli in poultry. Poult Sci 2012; 91:255-64. [PMID: 22184452 DOI: 10.3382/ps.2011-01414] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Human campylobacteriosis, an infection caused by the bacterium Campylobacter, is a major issue in the United States food system, especially for poultry products. According to the Center for Disease Control, campylobacterosis is estimated to affect over 2.4 million people annually. Campylobacter jejuni and Campylobacter coli are 2 species responsible for the majority of campylobacterosis infections. Phenotypic and genotypic typing methods are often used to discriminate between bacteria at the species and subspecies level and are often used to identify pathogenic organisms, such as C. jejuni and C. coli. This review describes the design as well as advantages and disadvantages for 3 current phenotypic techniques (biotyping, serotyping, and multilocus enzyme electrophoresis) and 6 genotypic techniques (multilocus sequence typing, PCR, pulse-field gel electrophoresis, ribotyping, flagellin typing, and amplified fragment length polymorphisms) for typing pathogenic Campylobacter spp.
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Affiliation(s)
- K N Eberle
- Mississippi State University Poultry Science Department, Mississippi State 39762, USA
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López-Campos G, Martínez-Suárez JV, Aguado-Urda M, López-Alonso V. Detection, Identification, and Analysis of Foodborne Pathogens. SPRINGERBRIEFS IN FOOD, HEALTH, AND NUTRITION 2012. [DOI: 10.1007/978-1-4614-3250-0_2] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
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Yu Y, Hu W, Wu B, Zhang P, Chen J, Wang S, Fang W. Vibrio parahaemolyticus isolates from southeastern Chinese coast are genetically diverse with circulation of clonal complex 3 strains since 2002. Foodborne Pathog Dis 2011; 8:1169-76. [PMID: 21883006 DOI: 10.1089/fpd.2011.0865] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Multilocus sequence typing (MLST) was used to examine the clonal relationship and genetic diversity of 71 Vibrio parahaemolyticus isolates from clinical and seafood-related sources in southeastern Chinese coast between 2002 and 2009. The tested isolates fell into 61 sequence types (STs). Of 17 clinical isolates, 7 belonged to ST3 of the pandemic clonal complex 3, with 3 strains isolated in 2002. Although there was no apparent clonal relationship found between clinical strains and those from seafood-related sources positive with pathogenic markers, there were clonal relationships between clinical strains from this study and those from environmental sources in other parts of China. Phylogenetic analysis showed that strains of 112 STs (61 STs from this study and 51 retrieved from PUBMLST database covering different continents) could be divided into four branches. The vast majority of our isolates and those from other countries were genetically diverse and clustered into two major branches of mixed distribution (of geographic origins and sample sources), whereas five STs representing six isolates split as two minor branches because of divergence of their recA genes, which had 80%-82% nucleotide identity to typical V. parahaemolyticus strains and 73.3%-76.9% identity to the CDS24 of a Vibrio sp. plasmid p23023, indicating that the recA gene might have recombined by lateral gene transfer. This was further supported by a high ratio of recombination to mutation (3.038) for recA. In conclusion, MLST with fully extractable database is a powerful system for analysis of clonal relationship for strains of a particular region in a national or global scale as well as between clinical and environmental or food-related strains.
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Affiliation(s)
- Ying Yu
- Zhejiang University Institute of Preventive Veterinary Medicine and Zhejiang Provincial Key Laboratory of Preventive Veterinary Medicine, Hangzhou, China
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