Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/51981

TitleClinical utilization of genomics data produced by the international Pseudomonas aeruginosa consortium
Author(s)Freschi, Luca
Jeukens, Julie
Kukavica-Ibrulj, Irene
Boyle, Brian
Dupont, Marie-Josee
Laroche, Jerome
Larose, Stephane
Maaroufi, Halim
Fothergill, Joanne L.
Moore, Matthew
Winsor, Geoffrey L.
Aaron, Shawn D.
Barbeau, Jean
Bell, Scott C.
Burns, Jane L.
Camara, Miguel
Cantin, Andre
Charette, Steve J.
Dewar, Ken
Deziel, Eric
Grimwood, Keith
Hancock, Robert E. W.
Harrison, Joe J.
Heebs, Stephan
Jelsbak, Lars
Jia, Baofeng
Kenna, Dervla T.
Kidd, Timothy J.
Klockgether, Jens
Lam, Joseph S.
Lamont, Iain L.
Lewenza, Shawn
Loman, Nick
Malouin, Francois
Manos, Jim
McArthur, Andrew G.
McKeown, Josie
Milot, Julie
Naghra, Hardeep
Nguyen, Dao
Pereira, Sheldon K.
Perron, Gabriel G.
Pirnay, Jean-Paul
Rainey, Paul B.
Rousseau, Simon
Santos, P. M.
Stephenson, Anne
Taylor, Veronique
Turton, Jane F.
Waglechner, Nicholas
Williams, Paul
KeywordsPseudomonas aeruginosa
next-generation sequencing
bacterial genome
phylogeny
database
cystic fibrosis
antibiotic resistance
clinical microbiology
Issue date29-Sep-2015
PublisherFrontiers Media
JournalFrontiers in Microbiology
Abstract(s)The International Pseudomonas aeruginosa Consortium is sequencing over 1000 genomes and building an analysis pipeline for the study of Pseudomonas genome evolution, antibiotic resistance and virulence genes. Metadata, including genomic and phenotypic data for each isolate of the collection, are available through the International Pseudomonas Consortium Database (http://ipcd.ibis.ulaval.ca/). Here, we present our strategy and the results that emerged from the analysis of the first 389 genomes. With as yet unmatched resolution, our results confirm that P. aerugihosa strains can be divided into three major groups that are further divided into subgroups, some not previously reported in the literature. We also provide the first snapshot of P aeruginosa strain diversity with respect to antibiotic resistance. Our approach will allow us to draw potential links between environmental strains and those implicated in human and animal infections, understand how patients become infected and how the infection evolves over time as well as identify prognostic markers for better evidence-based decisions on patient care.
TypeArticle
DescriptionThe Supplementary Material for this article can be found online at: http://journal.frontiersin.org/article/10.3389/fmicb. 2015.01036
URIhttp://hdl.handle.net/1822/51981
DOI10.3389/fmicb.2015.01036
ISSN1664-302X
Peer-Reviewedyes
AccessOpen access
Appears in Collections:DBio - Artigos/Papers

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