Antibiotic resistance pattern and gene expression of non-typhoid Salmonella in riversheds View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-05

AUTHORS

Chao-Yu Hsu, Bing-Mu Hsu, Wen-Tsai Ji, Jung-Sheng Chen, Tsui-Kang Hsu, Dar-Der Ji, Shao-Feng Tseng, Yi-Chou Chiu, Po-Min Kao, Yu-Li Huang

ABSTRACT

In this study, antibiotic resistance and major phenol and genotypes of non-typhoid Salmonella spp. from riversheds in Taiwan were examined. In 236 water samples tested, 54 (22.9%) contained Salmonella spp. Fifteen Salmonella serovars were identified from the Salmonella isolates, and some common serovars are associated with infections of human and livestock, including Albany (27.8%), Newport (14.8%), Bareilly (13.0%), Derby (11.1%), and Typhimurium (7.4%). Various environmental factors may also affect the presence and proportion of different serovars in the receiving waters. In contrast, serovars with narrower range of hosts, e.g., Dublin, were rarely detected. The Salmonella isolates were subjected to eight antibiotics for drug resistance, and 51.9% of the samples were resistant to at least one tested antibiotics. Tetracycline and sulfadiazine were the two most ineffective antibiotics against the Salmonella isolates, and the results were indicative of long-term antibiotics abuse as fodder supplements in animal husbandry. The more commonly detected serovars such as Albany, Derby, and Typhimurium were also more likely to be resistant to multiple antibiotics. Finally, a significant correlation was observed between resistance to chloramphenicol and the resistance gene cmlA, suggesting that the resistance genotypes could persist in the environment even long after prohibition of the drug use. The high prevalence of antibiotic-resistant Salmonella spp. infers elevated infection risks that must be further examined. More... »

PAGES

7843-7850

References to SciGraph publications

  • 2013-09. Tetracycline antibiotics in the environment: a review in ENVIRONMENTAL CHEMISTRY LETTERS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11356-014-4033-y

    DOI

    http://dx.doi.org/10.1007/s11356-014-4033-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1015751865

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/25563835


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    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11356-014-4033-y'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11356-014-4033-y'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11356-014-4033-y'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11356-014-4033-y'


     

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