Rothen Julian, Pothier Joël F, Foucault Frédéric, Blom Jochen, Nanayakkara Dulmini, Li Carmen, Ip Margaret, Tanner Marcel, Vogel Guido, Pflüger Valentin, Daubenberger Claudia A
Department of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute (Swiss TPH) Basel, Basel, Switzerland.
University of Basel, Basel, Switzerland.
Front Microbiol. 2019 Mar 11;10:471. doi: 10.3389/fmicb.2019.00471. eCollection 2019.
A ribosomal subunit protein (rsp)-based matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) method was developed for fast subspecies-level typing of (Group B , GBS), a major cause of neonatal sepsis and meningitis. A total of 796 GBS whole genome sequences, covering the genetic diversity of the global GBS population, were used to predict molecular mass variability of 28 rsp and to identify unique rsp mass combinations, termed "rsp-profiles". The established GBS typing scheme was validated by MALDI-TOF MS analysis of GBS isolates at two independent research sites in Europe and South East Asia. We identified 62 rsp-profiles, with the majority (>80%) of the 796 GBS isolates displaying one of the six rsp-profiles 1-6. These dominant rsp-profiles classify GBS strains in high concordance with the core-genome based phylogenetic clustering. Validation of our approach by in-house MALDI-TOF MS analysis of 248 GBS isolates and external analysis of 8 GBS isolates showed that across different laboratories and MALDI-TOF MS platforms, the 28 rsp were detected reliably in the mass spectra, allowing assignment of clinical isolates to rsp-profiles at high sensitivity (99%) and specificity (97%). Our approach distinguishes the major phylogenetic GBS genotypes, identifies hyper-virulent strains, predicts the probable capsular serotype and surface protein variants and distinguishes between GBS genotypes of human and animal origin. We combine the information depth of whole genome sequences with the highly cost efficient, rapid and robust MALDI-TOF MS approach facilitating high-throughput, inter-laboratory, large-scale GBS epidemiological and clinical studies based on pre-defined rsp-profiles.
开发了一种基于核糖体亚基蛋白(rsp)的基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)方法,用于对B族链球菌(GBS)进行快速亚种水平分型,GBS是新生儿败血症和脑膜炎的主要病因。共使用了796个GBS全基因组序列,这些序列涵盖了全球GBS群体的遗传多样性,用于预测28种rsp的分子量变异性,并识别独特的rsp质量组合,即“rsp谱型”。通过在欧洲和东南亚的两个独立研究地点对GBS分离株进行MALDI-TOF MS分析,验证了所建立的GBS分型方案。我们鉴定出62种rsp谱型,796株GBS分离株中的大多数(>80%)显示出六种rsp谱型1-6中的一种。这些主要的rsp谱型对GBS菌株的分类与基于核心基因组的系统发育聚类高度一致。通过对248株GBS分离株进行内部MALDI-TOF MS分析以及对8株GBS分离株进行外部分析,验证了我们的方法,结果表明,在不同实验室和MALDI-TOF MS平台上,质谱图中能可靠地检测到28种rsp,从而能够以高灵敏度(99%)和特异性(97%)将临床分离株归类到rsp谱型。我们的方法能够区分主要的系统发育GBS基因型,识别高毒力菌株,预测可能的荚膜血清型和表面蛋白变体,并区分人和动物来源的GBS基因型。我们将全基因组序列的信息深度与成本高效、快速且稳健的MALDI-TOF MS方法相结合,便于基于预定义的rsp谱型进行高通量、跨实验室、大规模的GBS流行病学和临床研究。