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基质辅助激光解吸电离飞行时间质谱法的实施与峰分析:在物种复合体及其种间杂种鉴别中的应用

Implementation of MALDI-TOF Mass Spectrometry and Peak Analysis: Application to the Discrimination of Species Complex and Their Interspecies Hybrids.

作者信息

Zvezdanova Margarita E, Arroyo Manuel J, Méndez Gema, Guinea Jesús, Mancera Luis, Muñoz Patricia, Rodríguez-Sánchez Belén, Escribano Pilar

机构信息

Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Doctor Esquerdo, 46, 28007 Madrid, Spain.

Instituto de Investigación Sanitaria Gregorio Marañón, 28007 Madrid, Spain.

出版信息

J Fungi (Basel). 2020 Dec 2;6(4):330. doi: 10.3390/jof6040330.

Abstract

Matrix-assisted laser desorption-ionization/time of flight mass spectrometry (MALDI-TOF MS) has been widely implemented for the rapid identification of microorganisms. Although most bacteria, yeasts and filamentous fungi can be accurately identified with this method, some closely related species still represent a challenge for MALDI-TOF MS. In this study, two MALDI-TOF-based approaches were applied for discrimination at the species-level of isolates belonging to the complex, previously characterized by Amplified Fragment Length Polymorphism (AFLP) and sequencing of the ITS1-5.8S-ITS2 region: (i) an expanded database was built with 26 isolates from the main species found in our setting (, and AFLP3 interspecies hybrids) and (ii) peak analysis and data modeling were applied to the protein spectra of the analyzed isolates. The implementation of the in-house database did not allow for the discrimination of the interspecies hybrids. However, the performance of peak analysis with the application of supervised classifiers (partial least squares-discriminant analysis and support vector machine) in a two-step analysis allowed for the 96.95% and 96.55% correct discrimination of from the interspecies hybrids, respectively. In addition, PCA analysis prior to support vector machine (SVM) provided 98.45% correct discrimination of the three analyzed species in a one-step analysis. This novel method is cost-efficient, rapid and user-friendly. The procedure can also be automatized for an optimized implementation in the laboratory routine.

摘要

基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)已被广泛用于微生物的快速鉴定。尽管大多数细菌、酵母和丝状真菌都可以用这种方法准确鉴定,但一些密切相关的物种对MALDI-TOF MS来说仍然是一个挑战。在本研究中,应用了两种基于MALDI-TOF的方法对属于该复合体的分离株进行种水平的鉴别,该复合体先前通过扩增片段长度多态性(AFLP)和ITS1-5.8S-ITS2区域测序进行了表征:(i)用来自我们环境中发现的主要物种(、和AFLP3种间杂种)的26个分离株构建了一个扩展数据库,(ii)对分析的分离株的蛋白质谱进行峰分析和数据建模。内部数据库的实施不允许对种间杂种进行鉴别。然而,在两步分析中应用监督分类器(偏最小二乘判别分析和支持向量机)进行峰分析,分别允许对与种间杂种进行96.95%和96.55%的正确鉴别。此外,在支持向量机(SVM)之前进行主成分分析(PCA)在一步分析中对三种分析物种的正确鉴别率为98.45%。这种新方法具有成本效益、快速且用户友好。该程序也可以自动化,以便在实验室常规中进行优化实施。

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