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Molecular typing of Legionella pneumophila isolates from environmental water samples and clinical samples using a five-gene sequence typing and standard Sequence-Based Typing

机译:使用五基因序列分型和标准基于序列的分型从环境水样和临床样品中分离出嗜肺军团菌的分子分型

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摘要

Inadequate discriminatory power to distinguish between L. pneumophila isolates, especially those belonging to disease-related prevalent sequence types (STs) such as ST1, ST36 and ST47, is an issue of SBT scheme. In this study, we developed a multilocus sequence typing (MLST) scheme based on two non-virulence loci (trpA, cca) and three virulence loci (icmK, lspE, lssD), to genotype 110 L. pneumophila isolates from various natural and artificial water sources in Guangdong province of China, and compared with the SBT. The isolates were assigned to 33 STs of the SBT and 91 new sequence types (nSTs) of the MLST. The indices of discrimination (IODs) of SBT and MLST were 0.920 and 0.985, respectively. Maximum likelihood trees of the concatenated SBT and MLST sequences both showed distinct phylogenetic relationships between the isolates from the two environments. More intragenic recombinations were detected in nSTs than in STs, and they were both more abundant in natural water isolates. We found out the MLST had a high discriminatory ability for the disease-associated ST1 isolates: 22 ST1 isolates were assigned to 19 nSTs. Furthermore, we assayed the discrimination of the MLST for 29 reference strains (19 clinical and 10 environmental). The clinical strains were assigned to eight STs and ten nSTs. The MLST could also subtype the prevalent clinical ST36 or ST47 strains: eight ST36 strains were subtyped into three nSTs and two ST47 strains were subtyped into two nSTs. We found different distribution patterns of nSTs between the environmental and clinical ST36 isolates, and between the outbreak clinical ST36 isolates and the sporadic clinical ST36 isolates. These results together revealed the MLST scheme could be used as part of a typing scheme that increased discrimination when necessary.
机译:SBT方案的一个问题是,没有足够的区分力来区分嗜肺乳杆菌分离株,尤其是那些与疾病相关的流行序列类型(ST)的分离株,例如ST1,ST36和ST47。在这项研究中,我们基于两个非毒力基因座(trpA,cca)和三个毒力基因座(icmK,lspE,lssD),开发了一种多基因座序列分型(MLST)方案,以分离来自各种天然和人工的基因型L. pneumophila分离株110。中国广东省的水源,并与SBT进行了比较。分离物被分配给SBT的33个ST和MLST的91个新序列类型(nST)。 SBT和MLST的鉴别指数(IOD)分别为0.920和0.985。串联的SBT和MLST序列的最大似然树都显示出来自两种环境的分离株之间截然不同的系统发生关系。在nSTs中检测到的基因内重组多于ST,而且在天然水分离株中均更丰富。我们发现MLST对与疾病相关的ST1分离株具有很高的辨别能力:将22个ST1分离株分配给19个nST。此外,我们分析了29种参考菌株(19种临床菌株和10种环境菌株)对MLST的区分。将临床菌株分为8个ST和10个nST。 MLST还可以将流行的临床ST36或ST47菌株亚型化:将8个ST36菌株亚型化为3个nSTs,将两个ST47菌株亚型化为2个nSTs。我们发现环境和临床ST36分离株之间,爆发性临床ST36分离株与零星临床ST36分离株之间nST的不同分布方式。这些结果加在一起表明MLST方案可以用作打字方案的一部分,该打字方案在必要时会增加区分度。

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