ArticleJournal of clinical microbiology2006
Comparison of subtyping methods for differentiating Salmonella enterica serovar Typhimurium isolates obtained from food animal sources.
Article in Journal of clinical microbiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed, 117 citations in OpenAlex.
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- Whole Genome Sequencing, Antibiotic Resistance, and Epidemiology Features of NontyphoidalFrontiers in microbiology · 2022Article
- Comparative Whole-Genome Analysis of Russian Foodborne Multidrug-ResistantMicroorganisms · 2021Article
- Comparison of Conventional Molecular and Whole-Genome Sequencing Methods for DifferentiatingMicroorganisms · 2021Article
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- Phylogenetic characterization ofVeterinary world · 2019Article
- Transmission patterns of Streptococcus mutans demonstrated by a combined rep-PCR and MLST approach.Clinical oral investigations · 2018Article
- Efficacy of Pulsed-Field Gel Electrophoresis and Repetitive Element Sequence-Based PCR in Typing of Salmonella Isolates from Assam, India.Journal of clinical microbiology · 2018Article
- Molecular Tools To Study Preharvest Food Safety Challenges.Microbiology spectrum · 2018Review
- Prevalence, Serotyping, Molecular Typing, and Antimicrobial Resistance ofFrontiers in microbiology · 2018Article
- Single-nucleotide polymorphism typing analysis for molecular subtyping ofGut pathogens · 2017Article
- Phenotypic and Genotypic Eligible Methods forFrontiers in microbiology · 2017Review
- Microbial Ecology: Where are we now?Postdoc journal : a journal of postdoctoral research and postdoctoral affairs · 2016Article
- Whole-Genome Sequencing for Detecting Antimicrobial Resistance in Nontyphoidal Salmonella.Antimicrobial agents and chemotherapy · 2016Article
- Genetic Diversity and Evidence for Transmission of Streptococcus mutans by DiversiLab rep-PCR.Journal of microbiological methods · 2016Article
- Assessment of clonality and serotypes of Streptococcus mutans among children by multilocus sequence typing.European journal of oral sciences · 2015Article
- Assessment of two multilocus sequence typing (MLST) schemes available for Streptococcus mutans.Archives of oral biology · 2015Article
- Comparative analysis of subtyping methods against a whole-genome-sequencing standard for Salmonella enterica serotype Enteritidis.Journal of clinical microbiology · 2015Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Molecular characterization (e.g., DNA-based typing methods) of Salmonella isolates is frequently employed to compare and distinguish clinical isolates recovered from animals and from patients with food-borne disease and nosocomial infections. In this study, we compared the abilities of different phenotyping and genotyping methods to distinguish isolates of Salmonella enterica serovar Typhimurium from different food animal sources. One hundred twenty-eight S. enterica serovar Typhimurium strains isolated from cattle, pigs, chickens, and turkeys or derived food products were characterized using pulsed-field gel electrophoresis (PFGE), repetitive element PCR (Rep-PCR), multilocus sequence typing (MLST), plasmid profiling, and antimicrobial susceptibility testing. Among the 128 Salmonella isolates tested, we observed 84 Rep-PCR profiles, 86 PFGE patterns, 89 MLST patterns, 36 plasmid profiles, and 38 susceptibility profiles. The molecular typing methods, i.e., PFGE, MLST, and Rep-PCR, demonstrated the best discriminatory power among Salmonella isolates. However, no apparent correlation was evident between the results of one molecular typing method and those of the others, suggesting that a combination of multiple methods is needed to differentiate S. enterica serovar Typhimurium isolates that genetically cluster according to one particular typing method.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.