King William L, Siboni Nachshon, Kahlke Tim, Green Timothy J, Labbate Maurizio, Seymour Justin R
School of Life Sciences, University of Technology Sydney, Ultimo, NSW, Australia.
Climate Change Cluster, University of Technology Sydney, Ultimo, NSW, Australia.
Front Microbiol. 2019 Dec 20;10:2907. doi: 10.3389/fmicb.2019.02907. eCollection 2019.
The genus is notable for including several pathogens of marine animals and humans, yet characterization of diversity using routine 16S rRNA sequencing methods is often constrained by poor resolution beyond the genus level. Here, a new high throughput sequencing approach targeting the heat shock protein () as a phylogenetic marker was developed to more precisely discriminate members of the genus in environmental samples. The utility of this new assay was tested using mock communities constructed from known dilutions of isolates. Relative to standard and -specific 16S rRNA sequencing assays, the assay delivered high levels of fidelity with the mock community composition at the species level, including discrimination of species within the clade. This assay was subsequently applied to characterize community composition in seawater and delivered substantially improved taxonomic resolution of species compared to 16S rRNA analysis. Finally, this assay was applied to examine patterns in the community within oysters during a Pacific oyster mortality event. In these oysters, the assay identified species-level community shifts prior to disease onset, pinpointing as a putative pathogen. Given that shifts in the community can precede, cause, and follow disease onset in numerous marine organisms, there is a need for an accurate high throughput assay for defining community composition in natural samples. This -centric sequencing assay offers the potential for precise high throughput characterization of diversity, providing an enhanced platform for dissecting dynamics in the environment.
该属因包含几种海洋动物和人类的病原体而备受关注,然而,使用常规16S rRNA测序方法进行多样性表征时,往往因属水平以上分辨率较差而受到限制。在此,开发了一种以热休克蛋白()为系统发育标记的新型高通量测序方法,以更精确地区分环境样本中的该属成员。使用由已知稀释度的分离株构建的模拟群落对这种新检测方法的效用进行了测试。相对于标准和特定的16S rRNA测序检测方法,该检测方法在物种水平上与模拟群落组成具有高度的保真度,包括区分该进化枝内的物种。随后将该检测方法应用于表征海水中的群落组成,与16S rRNA分析相比,显著提高了该物种的分类分辨率。最后,在太平洋牡蛎死亡事件期间,将该检测方法应用于检查牡蛎体内群落的模式。在这些牡蛎中,该检测方法在疾病发作前就识别出了物种水平的群落变化,确定为一种推定的病原体。鉴于在众多海洋生物中,群落变化可先于、导致并跟随疾病发作,因此需要一种准确的高通量检测方法来定义自然样本中的群落组成。这种以 为中心的测序检测方法为精确的高通量表征多样性提供了潜力,为剖析环境中的动态提供了一个增强的平台。