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Molecular characteristics of Staphylococcus aureus isolates from food surveillance in southwest China

Overview of attention for article published in BMC Microbiology, August 2018
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Title
Molecular characteristics of Staphylococcus aureus isolates from food surveillance in southwest China
Published in
BMC Microbiology, August 2018
DOI 10.1186/s12866-018-1239-z
Pubmed ID
Authors

Feng Liao, Wenpeng Gu, Zushun Yang, Zhishuo Mo, Lu Fan, Yidan Guo, Xiaoqing Fu, Wen Xu, Chaoqun Li, Jiejie Dai

Abstract

Staphylococcal food poisoning (SFP) is one of the most common food-borne diseases in the world. Pulsed-field gel electrophoresis (PFGE), multilocus sequence typing (MLST) and spa typing methods were used to characterize Staphylococcus aureus isolates from food surveillance during 2013-2015 in southwest China, and Staphylococcal cassette chromosome mec (SCCmec) typing was used for methicillin-resistant S. aureus (MRSA). Isolates were also examined for their antibiotic resistance and carriage of virulence genes. Isolation rate of S. aureus was 2.60% during the three years' surveillance and 29.50% of them were MRSA. All the S. aureus had hla genes (100%), 14.34% of the strains had tst, and 16.73% had PVL. 163 PFGE-SmaI patterns, 41 ST types and 36 spa types were obtained for all the S. aureus. Among them, ST6-t701 (13.15%), ST7-t091 (12.75%), ST59-t437 (9.96%) and ST5-t002 (7.57%) were the prevalent genotypes. Most of MRSA in this study belonged to SCCmec IV and V, accounted for 74.32% and 20.27% respectively. ST6-SCCmec IV-t701 (36.50%) was the most prevalent clone among isolates from food, followed by ST59-SCCmec V-t437 (20.30%), ST5-SCCmec IV-t002 (12.20%) and ST59-SCCmec IV-t437 (12.20%). Some strains had the identical PFGE patterns, ST and spa types with isolates from patients. S. aureus isolated from food in southwest China displayed heterogeneity. Isolates had the same genotype profiles with isolates from patients, indicating high homology.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 17%
Student > Ph. D. Student 5 14%
Student > Bachelor 3 8%
Student > Master 3 8%
Student > Doctoral Student 2 6%
Other 4 11%
Unknown 13 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 25%
Veterinary Science and Veterinary Medicine 5 14%
Immunology and Microbiology 4 11%
Medicine and Dentistry 2 6%
Nursing and Health Professions 1 3%
Other 2 6%
Unknown 13 36%
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 17 May 2019.
All research outputs
#18,648,325
of 23,102,082 outputs
Outputs from BMC Microbiology
#2,263
of 3,217 outputs
Outputs of similar age
#257,504
of 335,220 outputs
Outputs of similar age from BMC Microbiology
#36
of 54 outputs
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