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Adaptive Evolution of Staphylococcus aureus during Chronic Endobronchial Infection of a Cystic Fibrosis Patient

Overview of attention for article published in PLOS ONE, September 2011
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Title
Adaptive Evolution of Staphylococcus aureus during Chronic Endobronchial Infection of a Cystic Fibrosis Patient
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0024301
Pubmed ID
Authors

Paul R. McAdam, Anne Holmes, Kate E. Templeton, J. Ross Fitzgerald

Abstract

The molecular adaptation of Staphylococcus aureus to its host during chronic infection is not well understood. Comparative genome sequencing of 3 S. aureus isolates obtained sequentially over 26 months from the airways of a cystic fibrosis patient, revealed variation in phage content, and genetic polymorphisms in genes which influence antibiotic resistance, and global regulation of virulence. The majority of polymorphisms were isolate-specific suggesting the existence of an heterogeneous infecting population that evolved from a single infecting strain of S. aureus. The genetic variation identified correlated with differences in growth rate, hemolytic activity, and antibiotic sensitivity, implying a profound effect on the ecology of S. aureus. In particular, a high frequency of mutations in loci associated with the alternate transcription factor SigB, were observed. The identification of genes under diversifying selection during long-term infection may inform the design of novel therapeutics for the control of refractory chronic infections.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Denmark 2 2%
Germany 1 <1%
Israel 1 <1%
Netherlands 1 <1%
Sweden 1 <1%
United States 1 <1%
Unknown 117 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 21%
Researcher 25 20%
Student > Master 13 10%
Student > Bachelor 12 10%
Student > Doctoral Student 7 6%
Other 25 20%
Unknown 17 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 40%
Immunology and Microbiology 17 13%
Medicine and Dentistry 15 12%
Biochemistry, Genetics and Molecular Biology 13 10%
Veterinary Science and Veterinary Medicine 3 2%
Other 3 2%
Unknown 24 19%