Robert Koch-Institute, Division of Enteropathogenic Bacteria and Legionella (FG11)/National Reference Centre for Salmonella and other Bacterial Enteric Pathogens, Burgstrasse 37, 38855, Wernigerode, Germany.
Robert Koch-Institute, Department for Infectious Disease Epidemiology (FG31), Burgstrasse 37, 38855, Wernigerode, Germany.
Sci Rep. 2020 Mar 9;10(1):4333. doi: 10.1038/s41598-020-61254-1.
Salmonella enterica is the second most reported bacterial cause of food-borne infections in Europe. Therefore molecular surveillance activities based on pathogen subtyping are an important measure of controlling Salmonellosis by public health agencies. In Germany, at the federal level, this work is carried out by the National Reference Center for Salmonella and other Bacterial Enteric Pathogens (NRC). With rise of next generation sequencing techniques, the NRC has introduced whole-genome-based typing methods for S. enterica in 2016. In this study we report on the feasibility of genome-based in silico serotyping in the German setting using raw sequence reads. We found that SeqSero and seven gene MLST showed 98% and 95% concordance, respectively, with classical serotyping for the here evaluated serotypes, including the most common German serotypes S. Enteritidis and S. Typhimurium as well as less frequently found serotypes. The level of concordance increased to >99% when the results of both in silico methods were combined. However, both tools exhibited misidentification of monophasic variants, in particular monophasic S. Typhimurium and therefore need to be fine-tuned for reliable detection of this epidemiologically important variant. We conclude that with adjustments Salmonella genome-based serotyping might become the new gold standard.
肠炎沙门氏菌是欧洲第二大报告的食源性病原体。因此,基于病原体分型的分子监测活动是公共卫生机构控制沙门氏菌病的重要措施。在德国,联邦一级的工作由国家沙门氏菌和其他细菌性肠道病原体参考中心(NRC)负责。随着下一代测序技术的兴起,NRC 于 2016 年引入了基于全基因组的肠炎沙门氏菌分型方法。在这项研究中,我们报告了在德国使用原始测序reads 进行基于基因组的计算机血清型分型的可行性。我们发现,SeqSero 和 7 个基因 MLST 与经典血清分型的符合率分别为 98%和 95%,适用于这里评估的血清型,包括最常见的德国血清型肠炎沙门氏菌和鼠伤寒沙门氏菌以及较少发现的血清型。当两种计算机方法的结果结合使用时,符合率增加到>99%。然而,这两种工具都存在单相变体的错误识别,特别是单相鼠伤寒沙门氏菌,因此需要进行调整,以可靠地检测这种具有重要流行病学意义的变体。我们得出结论,通过调整,基于沙门氏菌基因组的血清型分型可能成为新的金标准。