Girolamini Luna, Caiazza Paolo, Marino Federica, Pascale Maria Rosaria, Caligaris Laura, Spiteri Simona, Derelitto Carlo, Simone Maria Luisa, Grottola Antonella, Cristino Sandra
Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy.
Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.
Sci Rep. 2025 Jan 16;15(1):2162. doi: 10.1038/s41598-025-85251-4.
The identification and typing of bacteria are very expensive and time-consuming due to their growth times, and the expertise needed. MALDI-TOF MS represents a fast technique, reproducible with molecular approaches. This technique is still poorly applied in Legionella surveillance with estimation occurring only at the genus level. The aim of this study was to compare three sample preparation methods: direct smear (DS), extended direct smear (EDS), and full extraction (E), using MALDI Biotyper, developing an in-house library. Moreover, Hierarchical cluster analysis (HCA) was compared to mip and rpoB gene sequencing. The dataset was composed of 104 isolates belonging to six Legionella species. The isolates were identified with a sensitivity of 97.11% for DS, 98.08% for EDS, and 95.19% for E. The error rates were 2.88% for DS, 1.92% for EDS, and 4.90% for E, with no significant differences among them. The HCA confirmed the relationship among the isolates reported in the phylogenetic trees. An improvement in sensitivity was obtained using an in-house library. The results suggest the use of a fast and inexpensive DS method, combined with instrument and in-house library for routine Legionella surveillance. HCA analysis could be useful for screening isolates, before undertaking expensive and time-laborious molecular techniques.
由于细菌的生长时间以及所需的专业知识,细菌的鉴定和分型非常昂贵且耗时。基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)是一种快速技术,与分子方法具有可重复性。该技术在军团菌监测中的应用仍然很少,目前仅在属水平上进行评估。本研究的目的是使用MALDI Biotyper比较三种样品制备方法:直接涂片(DS)、扩展直接涂片(EDS)和全提取(E),并建立一个内部数据库。此外,将层次聚类分析(HCA)与mip和rpoB基因测序进行了比较。数据集由属于六种军团菌的104株分离株组成。DS法鉴定分离株的灵敏度为97.11%,EDS法为98.08%,E法为95.19%。DS法的错误率为2.88%,EDS法为1.92%,E法为4.90%,三者之间无显著差异。HCA证实了系统发育树中报道的分离株之间的关系。使用内部数据库提高了灵敏度。结果表明,可使用快速且廉价的DS方法,并结合仪器和内部数据库进行军团菌常规监测。在采用昂贵且耗时的分子技术之前,HCA分析可用于筛选分离株。