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利用核磁共振光谱和统计分类策略快速鉴定念珠菌属菌种。

Rapid identification of Candida species by using nuclear magnetic resonance spectroscopy and a statistical classification strategy.

作者信息

Himmelreich Uwe, Somorjai Ray L, Dolenko Brion, Lee Ok Cha, Daniel Heide-Marie, Murray Ronan, Mountford Carolyn E, Sorrell Tania C

机构信息

Centre for Infectious Diseases and Microbiology, Institute for Clinical Pathology and Medical Research, University of Sydney at Westmead Hospital, Westmead, New South Wales 2145, Australia.

出版信息

Appl Environ Microbiol. 2003 Aug;69(8):4566-74. doi: 10.1128/AEM.69.8.4566-4574.2003.

DOI:10.1128/AEM.69.8.4566-4574.2003
PMID:12902244
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC169103/
Abstract

Nuclear magnetic resonance (NMR) spectra were acquired from suspensions of clinically important yeast species of the genus Candida to characterize the relationship between metabolite profiles and species identification. Major metabolites were identified by using two-dimensional correlation NMR spectroscopy. One-dimensional proton NMR spectra were analyzed by using a staged statistical classification strategy. Analysis of NMR spectra from 442 isolates of Candida albicans, C. glabrata, C. krusei, C. parapsilosis, and C. tropicalis resulted in rapid, accurate identification when compared with conventional and DNA-based identification. Spectral regions used for the classification of the five yeast species revealed species-specific differences in relative amounts of lipids, trehalose, polyols, and other metabolites. Isolates of C. parapsilosis and C. glabrata with unusual PCR fingerprinting patterns also generated atypical NMR spectra, suggesting the possibility of intraspecies discontinuity. We conclude that NMR spectroscopy combined with a statistical classification strategy is a rapid, nondestructive, and potentially valuable method for identification and chemotaxonomic characterization that may be broadly applicable to fungi and other microorganisms.

摘要

从念珠菌属临床上重要的酵母菌种的悬浮液中获取核磁共振(NMR)光谱,以表征代谢物谱与菌种鉴定之间的关系。通过使用二维相关NMR光谱鉴定主要代谢物。采用分阶段统计分类策略分析一维质子NMR光谱。与传统鉴定方法和基于DNA的鉴定方法相比,对442株白色念珠菌、光滑念珠菌、克柔念珠菌、近平滑念珠菌和热带念珠菌的NMR光谱分析实现了快速、准确的鉴定。用于这五种酵母菌种分类的光谱区域显示了脂质、海藻糖、多元醇和其他代谢物相对含量的种特异性差异。具有异常PCR指纹图谱模式的近平滑念珠菌和光滑念珠菌分离株也产生了非典型的NMR光谱,表明种内不连续性的可能性。我们得出结论,NMR光谱结合统计分类策略是一种快速、无损且可能有价值的鉴定和化学分类表征方法,可能广泛适用于真菌和其他微生物。

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