Journal article
Genomic analysis of diversity, population structure, virulence, and antimicrobial resistance in Klebsiella pneumoniae, an urgent threat to public health
KE Holt, H Wertheim, RN Zadoks, S Baker, CA Whitehouse, D Dance, A Jenney, TR Connor, LY Hsu, J Severin, S Brisse, H Cao, J Wilksch, C Gorrie, MB Schultz, DJ Edwards, K Van Nguyen, TV Nguyen, TT Dao, M Mensink Show all
Proceedings of the National Academy of Sciences of the United States of America | Published : 2015
Abstract
Klebsiella pneumoniae is nowrecognized as an urgent threat to human health because of the emergence of multidrug-resistant strains associated with hospital outbreaks and hypervirulent strains associated with severe community-acquired infections. K. pneumoniae is ubiquitous in the environment and can colonize and infect both plants and animals. However, little is known about the population structure of K. pneumoniae, so it is difficult to recognize or understand the emergence of clinically important clones within this highly genetically diverse species. Here we present a detailed genomic framework for K. pneumoniae based on whole-genome sequencing of more than 300 human and animal isolates sp..
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Awarded by Royal Society
Funding Acknowledgements
We thank the sequencing teams at the Wellcome Trust Sanger Institute (WTSI) for genome sequencing; Dr. Rattanaphone Phetsouvanh and the directors of Mahosot Hospital (Vientiane, Lao People's Democratic Republic) and Joy Silisouk for performing DNA extractions on the Lao strains; Associate Professor Tse Hsien Koh for isolates from the Singapore General Hospital (Singapore); T. Williammee and D. Sentochnik (Basett Healthcare) for human isolates from the United States; K. W. Simpson and B. Dogan (Cornell University) for isolates from human intestinal biopsies; and Brenda Werner and other staff at Quality Milk Production Services (Cornell University) for help in collecting and processing bovine and human samples from the United States. This work was funded by National Health and Medical Research Council of Australia Fellowships 628930 and 1061409 (to K. E. H.) and Program Grant 606788 (to R. A. S.); Wellcome Trust Grants 098051 (to the WTSI) and 089275/H/09/Z (to the Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit); Sir Henry Dale Fellowship (cofunded by the Royal Society) (to S. Baker); and by Victorian Life Sciences Computation Initiative Grant VR0082.