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Single-molecule sequencing reveals the molecular basis of multidrug-resistance in ST772 methicillin-resistant Staphylococcus aureus

Overview of attention for article published in BMC Genomics, May 2015
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Title
Single-molecule sequencing reveals the molecular basis of multidrug-resistance in ST772 methicillin-resistant Staphylococcus aureus
Published in
BMC Genomics, May 2015
DOI 10.1186/s12864-015-1599-9
Pubmed ID
Authors

Eike J Steinig, Patiyan Andersson, Simon R Harris, Derek S Sarovich, Anand Manoharan, Paul Coupland, Matthew TG Holden, Julian Parkhill, Stephen D Bentley, D Ashley Robinson, Steven YC Tong

Abstract

Methicillin-resistant Staphylococcus aureus (MRSA) is a major cause of hospital-associated infection, but there is growing awareness of the emergence of multidrug-resistant lineages in community settings around the world. One such lineage is ST772-MRSA-V, which has disseminated globally and is increasingly prevalent in India. Here, we present the complete genome sequence of DAR4145, a strain of the ST772-MRSA-V lineage from India, and investigate its genomic characteristics in regards to antibiotic resistance and virulence factors. Sequencing using single-molecule real-time technology resulted in the assembly of a single continuous chromosomal sequence, which was error-corrected, annotated and compared to nine draft genome assemblies of ST772-MRSA-V from Australia, Malaysia and India. We discovered numerous and redundant resistance genes associated with mobile genetic elements (MGEs) and known core genome mutations that explain the highly antibiotic resistant phenotype of DAR4145. Staphylococcal toxins and superantigens, including the leukotoxin Panton-Valentinin Leukocidin, were predominantly associated with genomic islands and the phage φ-IND772PVL. Some of these mobile resistance and virulence factors were variably present in other strains of the ST772-MRSA-V lineage. The genomic characteristics presented here emphasize the contribution of MGEs to the emergence of multidrug-resistant and highly virulent strains of community-associated MRSA. Antibiotic resistance was further augmented by chromosomal mutations and redundancy of resistance genes. The complete genome of DAR4145 provides a valuable resource for future investigations into the global dissemination and phylogeography of ST772-MRSA-V.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 1%
Australia 1 1%
India 1 1%
United Kingdom 1 1%
Taiwan 1 1%
Unknown 69 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 23%
Student > Ph. D. Student 14 19%
Student > Bachelor 9 12%
Researcher 9 12%
Professor 4 5%
Other 11 15%
Unknown 10 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 30%
Biochemistry, Genetics and Molecular Biology 14 19%
Medicine and Dentistry 6 8%
Immunology and Microbiology 5 7%
Computer Science 3 4%
Other 11 15%
Unknown 13 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 May 2015.
All research outputs
#14,907,505
of 24,138,997 outputs
Outputs from BMC Genomics
#5,602
of 10,915 outputs
Outputs of similar age
#137,913
of 269,210 outputs
Outputs of similar age from BMC Genomics
#130
of 246 outputs
Altmetric has tracked 24,138,997 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,915 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 269,210 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 246 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.