| Autor: |
Pannita Santiyanont, Phongsakorn Chuammitri, Prapas Patchanee, Teerarat Prasertsee, Nipa Chokesajjawatee, William Monteith, Samuel K. Sheppard, Ben Pascoe, Manu Deeudom |
| Rok vydání: |
2020 |
| Předmět: |
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| DOI: |
10.1101/2020.12.08.415869 |
| Popis: |
Salmonella spp. is an important foodborne pathogen associated with consumption of contaminated food, especially livestock products. Antimicrobial resistance (AMR) in Salmonella has been reported globally and increasing AMR in food production is a major public health issue worldwide. The objective of this study was to describe the genetic relatedness among Salmonella enterica isolates, which displayed identical DNA fingerprint profiles. Ten S. enterica isolates were selected from meat and human cases with an identical rep-PCR profile of serovars Rissen (n=4), Weltevreden (n=4), and Stanley (n=2). We used long-read whole genome sequencing (WGS) on the MinION sequencing platform to type isolates and investigate in silico the presence of specific AMR genes. Antimicrobial susceptibility testing was tested by disk diffusion and gradient diffusion method to corroborate the AMR phenotype. Multidrug resistance and resistance to more than one antimicrobial agent were observed in eight and nine isolates, respectively. Resistance to colistin with an accompanying mcr-1 gene was observed among the Salmonella isolates. The analysis of core genome and whole genome MLST revealed that the Salmonella from meat and human salmonellosis were closely genetic related. Hence, it could be concluded that meat is one of the important sources for Salmonella infection in human.HighlightsColistin resistance detected in 2 clones from 2 different Salmonella enterica serovars (Rissen and Weltevreden) with accompanying plasmid-borne mcr-1 gene from the food production chain and human clinical salmonellosis.High prevalence of multidrug resistant isolates and resistance to more than one antimicrobial agent.MinION has potential for mobile, rapid and accurate application in veterinary genomic epidemiology studies. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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