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一些曲霉是主要的食物腐败菌及人的病原体,特别是免疫系统受损的病人可能导致严重的感染。本研究评价了利用基质辅助激光解吸电离飞行时间质谱对一些临床和环境中重要的Flavi组和Fumigati组曲霉,进行鉴定的可能性,并将结果与形态学及测序结果(ITS区和部分-tubulin和钙调蛋白基因)进行比较分析。通过曲霉中34个Flavi组菌株和30个Fumigati组菌株的质谱分析,来建立基质辅助激光解吸电离飞行时间质谱的数据库。对光谱数据进行聚类分析表明Fumigati组的基质辅助激光解吸电离飞行时间质谱的结果与系统发育结果完全一致;Flavi组的基质辅助激光解吸电离飞行时间质谱方法将A.flavus,A.oryzae,A.sojae和A.parasiticus分开的效果比测序方法好。随后,再选取用于验证数据库的50个菌株中49个(98%)菌株用质谱数据得到正确鉴定。对于分离本研究中曲霉的隐形种,基质辅助激光解吸电离飞行时间质谱方法优于测序方法。这种方法可以用于曲霉临床实验室鉴定的标准方法,因为临床需要快速和稳定的鉴定方法,这对于适当的治疗方案的选择很重要,此方法同样适于环境研究工作。
Some Aspergillus are major spoilage organisms and human pathogens, especially those with compromised immune systems that can cause serious infections. This study evaluated the potential of identifying some clinically and environmentally important Flavi and Aspergillus Fumigati groups using matrix-assisted laser desorption / ionization time-of-flight mass spectrometry and compared the results with morphological and sequencing results (ITS region and partial- tubulin and calmodulin genes) were compared. A database of matrix-assisted laser desorption ionization time-of-flight mass spectrometry was established by mass spectrometry analysis of 34 Flavi group strains and 30 Fumigati group strains in Aspergillus. Cluster analysis of the spectral data showed that the results of matrix-assisted laser desorption ionization time-of-flight mass spectrometry in the Fumigati group were in good agreement with the phylogenetic results. The matrix-assisted laser desorption / ionization time-of-flight mass spectrometry of the Flavi group identified A.flavus, A.oryzae, A Isolation of A. sojae and A. parasiticus is better than sequencing. Subsequently, 49 (98%) of the 50 strains selected to validate the database were correctly identified using mass spectrometry data. Matrix-assisted laser desorption / ionization time-of-flight mass spectrometry is superior to sequencing methods for the isolation of invisible species of Aspergillus in this study. This method can be used as a standard method for the identification of Aspergillus clinical laboratories, as clinically needed rapid and stable identification methods are important for the choice of appropriate treatment options and are equally suitable for environmental research.