Mougin Julia, Flahaut Christophe, Roquigny Roxane, Bonnin-Jusserand Maryse, Grard Thierry, Le Bris Cédric
Université du Littoral Côte d'Opale, UMR 1158 BioEcoAgro, Institut Charles Viollette, Unité Sous Contrat ANSES, INRAe, Université d'Artois, Université de Lille, Université de Picardie Jules Verne, Université de Liège, Yncréa, Boulogne-sur-Mer, France.
Front Microbiol. 2020 Oct 9;11:586536. doi: 10.3389/fmicb.2020.586536. eCollection 2020.
bacteria, and particularly members of the Harveyi clade, are the causative agents of vibriosis. This disease is responsible for mass mortality events and important economic losses on aquaculture farms. Improvements in surveillance and diagnosis are needed to successfully manage vibriosis outbreaks. 16S rRNA gene sequencing is generally considered to be the gold standard for bacterial identification but the cost and long processing time make it difficult to apply for routine identification. In contrast, MALDI-TOF MS offers rapid diagnosis and is commonly used in veterinary laboratories today. The major limiting factor for using this technique is the low environmental bacterial diversity in the commonly available databases. Here, we demonstrate that the sole use of the commercially available Bruker BioTyper database is not fully adequate for identifying bacteria isolated from aquaculture farms. We therefore developed a new in-house database named Luvibase, composed of 23 reference MALDI-TOF mass spectra profiles obtained from collection strains, mostly belonging to the Harveyi clade. The comparison of the accuracy of MALDI-TOF MS profiling and 16S rRNA gene sequencing revealed a lack of resolution for 16S rRNA gene sequencing. In contrast, MALDI-TOF MS profiling proved to be a more reliable tool for resolving species-level variations within the Harveyi clade. Finally, combining the Luvibase with the Bruker ver.9.0.0.0 database, led to successful identification of 47 isolates obtained from moribund abalone, seabass and oysters. Thus, the use of Luvibase allow for increased confidence in identifying species belonging to the Harveyi clade.
细菌,尤其是哈维氏菌属的成员,是弧菌病的病原体。这种疾病会导致大规模死亡事件,并给水产养殖场造成重大经济损失。为了成功管理弧菌病疫情,需要改进监测和诊断方法。16S rRNA基因测序通常被认为是细菌鉴定的金标准,但成本高且处理时间长,难以用于常规鉴定。相比之下,基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)提供快速诊断,如今常用于兽医实验室。使用该技术的主要限制因素是常用数据库中环境细菌多样性较低。在这里,我们证明仅使用市售的布鲁克生物分型数据库不足以鉴定从水产养殖场分离出的细菌。因此,我们开发了一个名为Luvibase的新内部数据库,该数据库由从收集菌株获得的23个参考MALDI-TOF质谱图谱组成,这些菌株大多属于哈维氏菌属。MALDI-TOF MS分析和16S rRNA基因测序准确性的比较表明,16S rRNA基因测序缺乏分辨率。相比之下,MALDI-TOF MS分析被证明是解决哈维氏菌属内物种水平差异的更可靠工具。最后,将Luvibase与布鲁克9.0.0.0版本数据库相结合,成功鉴定了从濒死鲍鱼、海鲈和牡蛎中获得的47株分离株。因此,使用Luvibase可以增加对鉴定属于哈维氏菌属物种的信心。