| Literature DB >> 34138936 |
Marguerite E M Nikiema1,2, Maria Pardos de la Gandara2, Kiswensida A M Compaore1,3, Absétou Ky Ba4, Karna D Soro1, Philippe A Nikiema1, Nicolas Barro1, Lassana Sangare4,5, François-Xavier Weill2.
Abstract
BACKGROUND: Gastrointestinal infections are a global public health problem. In Burkina Faso, West Africa, exposure to Salmonella through the consumption of unhygienic street food represents a major risk of infection requiring detailed evaluation.Entities:
Year: 2021 PMID: 34138936 PMCID: PMC8211238 DOI: 10.1371/journal.pone.0253312
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Composition of the sandwiches analysed.
| Type of sandwich ( | Description |
|---|---|
| Beef kilichi (20) | • Bread |
| Beef kebab (102) | • Bread |
| Minced beef (18) | • Bread |
| Fish (27) | • Bread |
| Omelette (18) | • Bread |
| Avocado (12) | • Bread |
| Sausage (4) | • Bread |
n: Number of sandwiches of each type.
Fig 1Geographic location of the various Salmonella serotypes identified in our study.
Serotypes of Salmonella enterica isolated from sandwich samples and their antibiotic resistance profiles.
| No. of isolates per type of sandwich | ||||||||
|---|---|---|---|---|---|---|---|---|
| Serotype | Avocado ( | Fish ( | Kilichi ( | Minced beef ( | Omelette ( | Kebab ( | Total ( | AMR profile*( |
| Agona | 1 | 1 | ||||||
| Ahmadi | 1 | 1 | ||||||
| Brancaster | 1 | 1 | 2 | SMN-KAN-SSS-TMP-SXT-TET (2) | ||||
| Bredeney | 3 | 3 | ||||||
| Corvallis | 1 | 1 | ||||||
| Cuckmere | 1 | 2 | 3 | |||||
| Derby | 1 | 3 | 1 | 5 | ||||
| Enteritidis | 1 | 1 | AMP-SMN-SSS-CHL (1) | |||||
| Hato | 1 | 1 | 2 | |||||
| Kaapstad | 1 | 1 | ||||||
| Kentucky | 1 | 4 | 5 | AMP-SMN-SPT-GEN-SSS-TET-NAL-CIP (3) | ||||
| Muenster | 1 | 1 | ||||||
| Mura | 1 | 1 | ||||||
| Poona | 1 | 1 | ||||||
| Tennessee | 3 | 2 | 5 | |||||
| Tilene | 1 | 1 | ||||||
| “Rough” | 1 | 1 | 2 | |||||
*abbreviations: AMR, antimicrobial resistance; AMP, ampicillin; SMN, streptomycin; SPT, spectinomycin; GEN, gentamicin; SSS, sulfonamides; TMP, trimethoprim; SXT, trimethoprim-sulfamethoxazole; CHL, chloramphenicol; TET, tetracycline; NAL, nalidixic acid; CIP, ciprofloxacin.
Fig 2Genomic clustering of the S. enterica serotype Enteritidis genome identified in this study.
Minimal spanning tree generated by the EnteroBase “MSTree V2” algorithm and including all503 S. enterica serotype Enteritidis genomes from Feasey et al. [15] available from EnteroBase, and the S. enterica serotype Enteritidis genome from Burkina Faso (MARG-18AL-BROO, circled in red). Branch numbers correspond to allelic distances. The inset is a magnification of the branch containing isolate MARG-18AL-BROO. 3a. Grape colours correspond to the hierBAPS method performed by Feasey et al. [15]. 3b. Grape colours correspond to the HC100 assigned by the HierCC method performed in EnteroBase.