ArticleJournal of clinical microbiology2015
Differential single nucleotide polymorphism-based analysis of an outbreak caused by Salmonella enterica serovar Manhattan reveals epidemiological details missed by standard pulsed-field gel electrophoresis.
Article in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Antimicrobial resistance and clonal relationships of Salmonella enterica Serovar Gallinarum biovar pullorum strains isolated in China based on whole genome sequencing.BMC microbiology · 2024Article
- The integrated genomic surveillance system of Andalusia (SIEGA) provides a One Health regional resource connected with the clinic.Scientific reports · 2024Article
- Genomic Surveillance ofAntibiotics (Basel, Switzerland) · 2023Article
- Whole-Genome Analysis of Antimicrobial-ResistantCurrent issues in molecular biology · 2023Article
- Comparative genomics reveals an SNP potentially leading to phenotypic diversity ofMicrobial genomics · 2021Article
- Comparison of core-genome MLST, coreSNP and PFGE methods forMicrobial genomics · 2020Article
- Occurrence and traceability ofItalian journal of food safety · 2019Article
- The Transformation of Reference Microbiology Methods and Surveillance forFrontiers in public health · 2019Article
- Article
- Rise and fall of outbreak-specific clone inside endemic pulsotype ofEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2018Article
- Article
- Investigation of Outbreaks of Salmonella enterica Serovar Typhimurium and Its Monophasic Variants Using Whole-Genome Sequencing, Denmark.Emerging infectious diseases · 2017Article
- Article
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11 authors.
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Abstract
We retrospectively analyzed a rare Salmonella enterica serovar Manhattan outbreak that occurred in Italy in 2009 to evaluate the potential of new genomic tools based on differential single nucleotide polymorphism (SNP) analysis in comparison with the gold standard genotyping method, pulsed-field gel electrophoresis. A total of 39 isolates were analyzed from patients (n=15) and food, feed, animal, and environmental sources (n=24), resulting in five different pulsed-field gel electrophoresis (PFGE) profiles. Isolates epidemiologically related to the outbreak clustered within the same pulsotype, SXB_BS.0003, without any further differentiation. Thirty-three isolates were considered for genomic analysis based on different sets of SNPs, core, synonymous, nonsynonymous, as well as SNPs in different codon positions, by Bayesian and maximum likelihood algorithms. Trees generated from core and nonsynonymous SNPs, as well as SNPs at the second and first plus second codon positions detailed four distinct groups of isolates within the outbreak pulsotype, discriminating outbreak-related isolates of human and food origins. Conversely, the trees derived from synonymous and third-codon-position SNPs clustered food and human isolates together, indicating that all outbreak-related isolates constituted a single clone, which was in line with the epidemiological evidence. Further experiments are in place to extend this approach within our regional enteropathogen surveillance system.
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