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Complete Genome Sequence of a Pantón-Valentine Leukocidin-Negative Community-Associated Methicillin-Resistant Staphylococcus aureus Strain of Sequence type 72 from Korea

Overview of attention for article published in PLOS ONE, August 2013
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Title
Complete Genome Sequence of a Pantón-Valentine Leukocidin-Negative Community-Associated Methicillin-Resistant Staphylococcus aureus Strain of Sequence type 72 from Korea
Published in
PLOS ONE, August 2013
DOI 10.1371/journal.pone.0072803
Pubmed ID
Authors

Yan Chen, Som S. Chatterjee, Stephen F. Porcella, Yun-Song Yu, Michael Otto

Abstract

In the past decade, community-associated (CA-) infections with methicillin-resistant Staphylococcus aureus (MRSA) have emerged throughout the world. Different CA-MRSA strains dominate in different geographical locations. Many CA-MRSA lineages contain genes coding for the Pantón-Valentine leukocidin. However, the role of this leukotoxin in CA-MRSA pathogenesis is still controversial. The genome sequences of two key PVL-positive CA-MRSA strains (USA300, USA400) have been reported, but we lack information on the more recently found PVL-negative CA-MRSA strains. One such strain is the PVL-negative ST72, the main cause of CA-MRSA infections in Korea. Here, we report the entire genome sequence of CA-MRSA ST72 and analyze its gene content with a focus on virulence factors. Our results show that this strain does not have considerable differences in virulence factor content compared to other CA-MRSA strains (USA300, USA400), indicating that other toxins do not substitute for the lack of PVL in ST72. This finding is in accordance with the notion that differential expression of widespread virulence determinants, rather than the acquisition of additional virulence factors on mobile genetic elements, such as PVL, is responsible for the increased virulence of CA- compared to hospital-associated MRSA.

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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 %
Netherlands 1 3%
India 1 3%
Unknown 34 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 28%
Student > Ph. D. Student 9 25%
Student > Bachelor 5 14%
Student > Master 3 8%
Student > Doctoral Student 2 6%
Other 4 11%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 44%
Biochemistry, Genetics and Molecular Biology 5 14%
Medicine and Dentistry 5 14%
Environmental Science 2 6%
Computer Science 1 3%
Other 3 8%
Unknown 4 11%
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 16 January 2015.
All research outputs
#20,249,662
of 22,778,347 outputs
Outputs from PLOS ONE
#173,469
of 194,344 outputs
Outputs of similar age
#174,335
of 198,712 outputs
Outputs of similar age from PLOS ONE
#4,070
of 4,725 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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