1Public Health Agency of Canada, Winnipeg, MB, R3E 3R2, Canada.
2Health Canada, Bureau of Microbial Hazards, Ottawa, ON, K1A 0K9, Canada.
Microb Genom. 2019 Jan;5(1). doi: 10.1099/mgen.0.000237. Epub 2019 Jan 16.
The persuasiveness of genomic evidence has pressured scientific agencies to supplement or replace well-established methodologies to inform public health and food safety decision-making. This study of 52 epidemiologically defined Listeria monocytogenes isolates, collected between 1981 and 2011, including nine outbreaks, was undertaken (1) to characterize their phylogenetic relationship at finished genome-level resolution, (2) to elucidate the underlying genetic diversity within an endemic subtype, CC8, and (3) to re-evaluate the genetic relationship and epidemiology of a CC8-delimited outbreak in Canada in 2008. Genomes representing Canadian Listeria outbreaks between 1981 and 2010 were closed and manually annotated. Single nucleotide variants (SNVs) and horizontally acquired traits were used to generate phylogenomic models. Phylogenomic relationships were congruent with classical subtyping and epidemiology, except for CC8 outbreaks, wherein the distribution of SNV and prophages revealed multiple co-evolving lineages. Chronophyletic reconstruction of CC8 evolution indicates that prophage-related genetic changes among CC8 strains manifest as PFGE subtype reversions, obscuring the relationship between CC8 isolates, and complicating the public health interpretation of subtyping data, even at maximum genome resolution. The size of the shared genome interrogated did not change the genetic relationship measured between highly related isolates near the tips of the phylogenetic tree, illustrating the robustness of these approaches for routine public health applications where the focus is recent ancestry. The possibility exists for temporally and epidemiologically distinct events to appear related even at maximum genome resolution, highlighting the continued importance of epidemiological evidence.
基因组证据的说服力迫使科学机构补充或取代经过充分验证的方法,以支持公共卫生和食品安全决策。本研究对 52 株从 1981 年至 2011 年间收集的、包括 9 起暴发事件在内的流行病学定义明确的李斯特菌分离株进行了研究,目的是:(1) 从完成基因组水平分辨率上对其系统发生关系进行特征描述;(2) 阐明流行亚型 CC8 内的潜在遗传多样性;(3) 重新评估 2008 年加拿大 CC8 限定暴发的遗传关系和流行病学。代表 1981 年至 2010 年加拿大李斯特菌暴发的基因组进行了闭合和手动注释。单核苷酸变异(SNV)和水平获得的特征被用于生成系统发生基因组模型。系统发生关系与经典的亚分型和流行病学一致,除了 CC8 暴发,其中 SNV 和原噬菌体的分布揭示了多个共同进化的谱系。CC8 进化的系统发生重建表明,CC8 菌株之间与原噬菌体相关的遗传变化表现为 PFGE 亚型回复,掩盖了 CC8 分离株之间的关系,并使亚分型数据的公共卫生解释变得复杂,即使在最大基因组分辨率下也是如此。在靠近系统发生树顶端的高度相关分离株之间,检测到的共享基因组大小并未改变测量的遗传关系,这说明了这些方法在关注近期祖先的常规公共卫生应用中的稳健性。即使在最大基因组分辨率下,也有可能出现时间和流行病学上不同的事件,使它们看起来相关,这突出了流行病学证据的持续重要性。