Department of Genomics and Health, Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO-Public Health) , València, Spain.
CIBER in Epidemiology and Public Health (CIBEResp) , Madrid, Spain.
Gut Microbes. 2020 May 3;11(3):305-309. doi: 10.1080/19490976.2018.1526578. Epub 2018 Oct 5.
The epidemiological tracking of a bacterial outbreak may be jeopardized by the presence of multiple pathogenic strains in one patient. Nevertheless, this fact is not considered in most of the epidemiological studies and only one colony per patient is sequenced. On the other hand, the routine whole genome sequencing of many isolates from each patient would be costly and unnecessary, because the number of strains in a patient is never known . In addition, the result would be biased by microbial culture conditions. Herein we propose an approach for detecting mixed-strain infection, providing infection as an example. The cells of the target pathogenic species are collected from the bacterial suspension by the fluorescence activated cell sorting (FACS) and a shallow genome sequencing is performed. A modified sequencing library preparation protocol for low-input DNA samples can be used for low prevalence gut pathogens (< 0.1% of the total microbiome). This FACS-seq approach reduces diagnostics time (no culture is needed) and may promote discoveries of novel strains. Methodological details, possible issues and future directions for the sequencing of these natural pan-genomes are herein discussed.
在一个患者体内存在多种致病菌株的情况下,细菌爆发的流行病学追踪可能会受到影响。然而,这一事实在大多数流行病学研究中并未被考虑到,通常只对每个患者的一个菌落进行测序。另一方面,对每个患者的许多分离株进行常规全基因组测序既昂贵又不必要,因为患者体内的菌株数量是未知的。此外,这一结果还会受到微生物培养条件的影响。在此,我们提出了一种检测混合菌株感染的方法,以感染为例。通过荧光激活细胞分选(FACS)从细菌悬浮液中收集目标致病物种的细胞,并进行浅层基因组测序。可用于低丰度肠道病原体(<总微生物组的 0.1%)的低输入 DNA 样本的改良测序文库制备方案可用于低输入 DNA 样本的改良测序文库制备方案。这种 FACS-seq 方法减少了诊断时间(无需培养),并可能促进新菌株的发现。本文讨论了用于这些自然泛基因组测序的方法细节、可能出现的问题和未来方向。