ArticleBMC microbiology2021
Serotyping of sub-Saharan Africa Salmonella strains isolated from poultry feces using multiplex PCR and whole genome sequencing.
Article in BMC microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Characteristics of NontyphoidAntibiotics (Basel, Switzerland) · 2024Review
- Resistance Genes, Plasmids, Multilocus Sequence Typing (MLST), and Phenotypic Resistance of Non-TyphoidalAntibiotics (Basel, Switzerland) · 2022Article
- Characterization of virulence factors of Salmonella isolated from human stools and street food in urban areas of Burkina Faso.BMC microbiology · 2021Article
- Contamination of street food with multidrug-resistant Salmonella, in Ouagadougou, Burkina Faso.PloS one · 2021Article
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Authors and funding
13 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundSalmonella enterica remains a leading cause of food-borne diseases worldwide. Serotype information is important in food safety and public health activities to reduce the burden of salmonellosis. In the current study, two methods were used to determine serotypes of 111 strains of Salmonella isolated from poultry feces in Burkina Faso. First, Salmonella Multiplex Assay for Rapid Typing (SMART) Polymerase Chain Reaction (PCR) was used to determine the serovars of the S. enterica isolates. Second, serovar prediction based on whole genome sequencing (WGS) data was performed using SeqSero 2.0.
resultsAmong the 111 Salmonella isolates, serotypes for 17 (15.31%) isolates were identified based on comparison to a panel of representative SMART codes previously determined for the 50 most common serovars in the United States. Forty-four (44) new SMART codes were developed for common and uncommon serotypes. A total of 105 (94.59%) isolates were serotyped using SeqSero 2.0 for serovar prediction based on WGS data.
conclusionWe determined that SeqSero 2.0 was more comprehensive for identifying Salmonella serotypes from Burkina Faso than SMART PCR.
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