Nalbone Luca, Forgia Salvatore, Pirrone Federico, Giarratana Filippo, Panebianco Antonio
Department of Veterinary Science, University of Messina, Polo Universitario Dell'Annunziata, Viale Giovanni Palatucci SNC, 98168 Messina, Italy.
Riconnexia srls, Department of Veterinary Science, University of Messina, Polo Universitario Dell'Annunziata, Viale Giovanni Palatucci SNC, 98168 Messina, Italy.
Pathogens. 2024 May 21;13(6):432. doi: 10.3390/pathogens13060432.
The genus includes well-known pathogenic species for fishes and humans that are widely distributed in the aquatic environment and foods. Nowadays, one of the main issues related to wild isolates is their identification at the species level, which is challenging using classical microbiological and biomolecular methods. This study aims to test MALDI-TOF MS technology in the identification of strains isolated from n. 60 retail sushi and sashimi boxes using an implemented version of the SARAMIS software V4.12. A total of 43 certified strains were used to implement the SARAMIS database by importing the spectra obtained from their identification. The original SARAMIS version (V4.12) failed to recognize 62.79% of the certified strains, while the herein-implemented version (V4.12) allowed the identification of all the certified strains at least to the genus level with a match of no less than 85%. Regarding the sushi and sashimi samples, spp. was detected in n. 18 (30%) boxes. A total of 127 colonies were identified at the species level, with detected as the most prevalent species, followed by and . Based on the results of the present study, we could speculate that MALDI-TOF technology could be a useful tool both for the food industry to monitor product contamination and for clinical purposes to make diagnoses effectively and quickly.
该属包括鱼类和人类的知名致病物种,广泛分布于水生环境和食物中。如今,与野生分离株相关的主要问题之一是在物种水平上对其进行鉴定,而使用传统的微生物学和生物分子方法具有挑战性。本研究旨在使用SARAMIS软件V4.12的一个实现版本,测试基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)技术对从60个零售寿司和生鱼片盒中分离出的菌株进行鉴定。通过导入从43个经认证的菌株鉴定中获得的光谱,来实现SARAMIS数据库。原始的SARAMIS版本(V4.12)无法识别62.79%的经认证菌株,而此处实现的版本(V4.12)能够将所有经认证菌株至少鉴定到属水平,匹配度不低于85%。关于寿司和生鱼片样本,在18个(30%)盒子中检测到了[具体物种]属的菌株。总共在物种水平上鉴定出127个菌落,其中[最普遍的物种]被检测为最常见的物种,其次是[其他物种1]和[其他物种2]。基于本研究的结果,我们可以推测MALDI-TOF技术对于食品行业监测产品污染以及临床有效快速诊断而言可能是一种有用的工具。