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首页> 外文期刊>Applied Microbiology >Genomic Resolution of Outbreak-Associated Legionella pneumophila Serogroup 1 Isolates from New York State
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Genomic Resolution of Outbreak-Associated Legionella pneumophila Serogroup 1 Isolates from New York State

机译:纽约州与暴发相关的嗜肺军团菌血清群1分离株的基因组解析

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A total of 30 Legionella pneumophila serogroup 1 isolates representing 10 separate legionellosis laboratory investigations (“outbreaks”) that occurred in New York State between 2004 and 2012 were selected for evaluation of whole-genome sequencing (WGS) approaches for molecular subtyping of this organism. Clinical and environmental isolates were available for each outbreak and were initially examined by pulsed-field gel electrophoresis (PFGE). Sequence-based typing alleles were extracted from WGS data yielding complete sequence types (ST) for isolates representing 8 out of the 10 outbreaks evaluated in this study. Isolates from separate outbreaks sharing the same ST also contained the fewest differences in core genome single nucleotide polymorphisms (SNPs) and the greatest proportion of identical allele sequences in a whole-genome multilocus sequence typing (wgMLST) scheme. Both core SNP and wgMLST analyses distinguished isolates from separate outbreaks, including those from two outbreaks sharing indistinguishable PFGE profiles. Isolates from a hospital-associated outbreak spanning multiple years shared indistinguishable PFGE profiles but displayed differences in their genome sequences, suggesting the presence of multiple environmental sources. Finally, the rtx gene demonstrated differences in the repeat region sequence among ST1 isolates from different outbreaks, suggesting that variation in this gene may be useful for targeted molecular subtyping approaches for L. pneumophila . This study demonstrates the utility of various genome sequence analysis approaches for L. pneumophila for environmental source attribution studies while furthering the understanding of Legionella ecology.IMPORTANCE We demonstrate that whole-genome sequencing helps to improve resolution of Legionella pneumophila isolated during laboratory investigations of legionellosis compared to traditional subtyping methods. These data can be important in confirming the environmental sources of legionellosis outbreaks. Moreover, we evaluated various methods to analyze genome sequence data to help resolve outbreak-related isolates.
机译:选择了2004年至2012年在纽约州发生的代表10个单独的军团菌病实验室研究(“暴发”)的30株嗜肺军团菌血清群1分离株,以评估该生物体分子分型的全基因组测序(WGS)方法。临床和环境分离株可用于每次暴发,并最初通过脉冲场凝胶电泳(PFGE)进行检查。从WGS数据中提取基于序列的分型等位基因,得出代表该研究评估的10次暴发中的8次的分离株的完整序列类型(ST)。在全基因组多基因座序列分型(wgMLST)方案中,来自共享同一ST的独立暴发的分离株在核心基因组单核苷酸多态性(SNP)中的差异最少,在相同等位基因序列中的比例最大。核心SNP和wgMLST都对来自不同爆发的分离株进行了分析,包括来自具有相同PFGE谱的两个爆发的分离株。跨医院相关爆发的分离株跨越了多年,它们具有相同的PFGE图谱,但在基因组序列上显示出差异,表明存在多种环境源。最后,rtx基因在来自不同暴发的ST1分离株之间表现出重复区域序列的差异,这表明该基因的变异可能对嗜肺乳杆菌的分子分型方法有用。这项研究证明了各种基因组序列分析方法可用于嗜肺乳杆菌的环境来源归因研究,同时进一步了解军团菌生态学。重要说明我们证明了全基因组测序有助于提高在军团菌病实验室研究中分离出的嗜肺军团菌的分离度传统的子类型化方法。这些数据对于确定军团菌病暴发的环境来源可能很重要。此外,我们评估了各种方法来分析基因组序列数据,以帮助解决与暴发相关的分离株。

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