Clinical utilization of genomics data produced by the international Pseudomonas aeruginosa consortium.
Clinical utilization of genomics data produced by the international Pseudomonas aeruginosa consortium.
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DOI：
10.3389/fmicb.2015.01036
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发表时间：
2015
影响因子：
5.2
通讯作者：
Levesque RC
中科院分区：
文献类型：
--
作者：
Freschi L;Jeukens J;Kukavica-Ibrulj I;Boyle B;Dupont MJ;Laroche J;Larose S;Maaroufi H;Fothergill JL;Moore M;Winsor GL;Aaron SD;Barbeau J;Bell SC;Burns JL;Camara M;Cantin A;Charette SJ;Dewar K;Déziel É;Grimwood K;Hancock RE;Harrison JJ;Heeb S;Jelsbak L;Jia B;Kenna DT;Kidd TJ;Klockgether J;Lam JS;Lamont IL;Lewenza S;Loman N;Malouin F;Manos J;McArthur AG;McKeown J;Milot J;Naghra H;Nguyen D;Pereira SK;Perron GG;Pirnay JP;Rainey PB;Rousseau S;Santos PM;Stephenson A;Taylor V;Turton JF;Waglechner N;Williams P;Thrane SW;Wright GD;Brinkman FS;Tucker NP;Tümmler B;Winstanley C;Levesque RC
国际铜绿假单胞菌联盟正在对1000多个基因组进行测序，并为研究假单胞菌基因组进化、抗生素耐药性和毒力基因建立分析管道。元数据，包括收集的每个分离株的基因组和表型数据，可通过国际假单胞菌联盟数据库（http：//ipcd.ibis.ulaval.ca/）获得。在这里，我们提出了我们的策略和分析前389个基因组的结果。由于迄今为止的分辨率尚不匹配，我们的结果证实，铜绿假单胞菌菌株可分为三个主要组，这些组进一步分为亚组，其中一些在文献中以前没有报道。我们还提供了关于抗生素耐药性的铜绿假单胞菌菌株多样性的第一个快照。我们的方法将使我们能够绘制环境菌株与人类和动物感染相关菌株之间的潜在联系，了解患者如何感染以及感染如何随着时间的推移而演变，并确定预后标志物，以便更好地对患者进行循证护理。
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. aeruginosa 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.