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Improved multiplex PCR primers for rapid identification of coagulase-negative staphylococci

Overview of attention for article published in Archives of Microbiology, August 2017
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Title
Improved multiplex PCR primers for rapid identification of coagulase-negative staphylococci
Published in
Archives of Microbiology, August 2017
DOI 10.1007/s00203-017-1415-9
Pubmed ID
Authors

Jonguk Kim, Jisoo Hong, Jeong-A Lim, Sunggi Heu, Eunjung Roh

Abstract

Coagulase-negative staphylococci (CNS) are opportunistic pathogens that are currently emerging as causative agents of human disease. Though CNS are widespread in the clinic and food, their precise identification at species level is important. Here, using 16S rRNA sequencing, 55 staphylococcal isolates were identified as S. capitis, S. caprae, S. epidermidis, S. haemolyticus, S. pasteuri, S. saprophyticus, S. warneri, and S. xylosus. Although 16S rRNA sequencing is universally accepted as a standard for bacterial identification, the method did not effectively discriminate closely related species, and additional DNA sequencing was required. The divergence of the sodA gene sequence is higher than that of 16S rRNA. To devise a rapid and accurate identification method, sodA-specific primers were designed to demonstrate that species-specific multiplex polymerase chain reaction (PCR) can be used for the identification of CNS species. The accuracy of this method was higher than that of phenotypic identification; the method is simple and less time-consuming than 16S rRNA sequencing. Of the 55 CNS isolates, 92.72% were resistant to at least one antibiotic, and 60% were resistant to three or more antibiotics. CNS isolates produced diverse virulence-associated enzymes, including hemolysin (produced by 69.09% of the isolates), protease (65.45%), lipase (54.54%), lecithinase (36.36%), and DNase (29.09%); all isolates could form a biofilm. Because of the increasing pathogenic significance of CNS, the efficient multiplex PCR detection method developed in this study may contribute to studies for human health.

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Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 16%
Student > Ph. D. Student 7 9%
Student > Master 5 6%
Student > Bachelor 5 6%
Professor 4 5%
Other 16 20%
Unknown 30 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 16%
Agricultural and Biological Sciences 9 11%
Medicine and Dentistry 8 10%
Immunology and Microbiology 7 9%
Veterinary Science and Veterinary Medicine 4 5%
Other 7 9%
Unknown 32 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 August 2017.
All research outputs
#20,442,790
of 22,997,544 outputs
Outputs from Archives of Microbiology
#2,363
of 2,794 outputs
Outputs of similar age
#277,432
of 318,007 outputs
Outputs of similar age from Archives of Microbiology
#13
of 18 outputs
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