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傅里叶变换红外光谱法在致病性大肠杆菌快速分型中的应用

Implementation of Fourier transform infrared spectroscopy for the rapid typing of uropathogenic Escherichia coli.

作者信息

Dawson S E, Gibreel T, Nicolaou N, AlRabiah H, Xu Y, Goodacre R, Upton M

机构信息

Microbiology and Virology Unit, School of Medicine, University of Manchester, Manchester, UK.

出版信息

Eur J Clin Microbiol Infect Dis. 2014 Jun;33(6):983-8. doi: 10.1007/s10096-013-2036-0. Epub 2014 Jan 8.

Abstract

In this paper, we demonstrate that Fourier transform infrared (FT-IR) spectroscopy is able to discriminate rapidly between uropathogenic Escherichia coli (UPEC) of key lineages with only relatively simple sample preparation. A total of 95 bacteria from six different epidemiologically important multilocus sequence types (ST10, ST69, ST95, ST73, ST127 and ST131) were used in this project and principal component-discriminant function analysis (PC-DFA) of these samples produced clear separate clustering of isolates, based on the ST. Analysis of data using partial least squares-discriminant analysis (PLS-DA), incorporating cross-validation, indicated a high prediction accuracy of 91.19% for ST131. These results suggest that FT-IR spectroscopy could be a useful method for the rapid identification of members of important UPEC STs.

摘要

在本文中,我们证明,仅通过相对简单的样品制备,傅里叶变换红外(FT-IR)光谱就能快速区分关键谱系的尿路致病性大肠杆菌(UPEC)。本项目共使用了来自六种不同的具有重要流行病学意义的多位点序列类型(ST10、ST69、ST95、ST73、ST127和ST131)的95株细菌,对这些样品进行主成分判别函数分析(PC-DFA),结果显示,基于序列类型,分离株呈现出明显的单独聚类。使用偏最小二乘判别分析(PLS-DA)并结合交叉验证对数据进行分析,结果表明,对于ST131的预测准确率高达91.19%。这些结果表明,FT-IR光谱可能是快速鉴定重要UPEC序列类型成员的一种有用方法。

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