The University of North Carolina at Chapel Hill, Institute of Marine Sciences, Morehead City, North Carolina, USA
Appl Environ Microbiol. 2018 Jun 18;84(13). doi: 10.1128/AEM.00333-18. Print 2018 Jul 1.
Of marine eubacteria, the genus is intriguing because member species are relevant to both marine ecology and human health. Many studies have touted the relationships of to environmental factors, especially temperature and salinity, to predict total abundance but lacked the taxonomic resolution to identify the relationships among species and the key drivers of dynamics. To improve next-generation sequencing (NGS) surveys of , we have conducted both 16S small subunit rRNA and heat shock protein 60 () amplicon sequencing of water samples collected at two well-studied locations in the Neuse River Estuary, NC. Samples were collected between May and December 2016 with enhanced sampling efforts in response to two named storms. Using sequences, 21 species were identified, including the potential human pathogens , , and Changes in the community mirrored seasonal and storm-related changes in the water column, especially in response to an influx of nutrient-rich freshwater to the estuary after Hurricane Matthew, which initiated dramatic changes in the overall community. Individual species dynamics were wide ranging, indicating that individual taxa have unique ecologies and that total abundance predictors are insufficient for risk assessments of potentially pathogenic species. Positive relationships between , dinoflagellates, and were identified, as were intraspecies associations, which further illuminated the interactions of cooccurring taxa along environmental gradients. The objectives of this research were to utilize a novel approach to improve sequence-based surveys of communities and to demonstrate the usefulness of this approach by presenting an analysis of dynamics in the context of environmental conditions, with a particular focus on species that cause disease in humans and on storm effects. The methods presented here enabled the analysis of dynamics with excellent taxonomic resolution and could be incorporated into future ecological studies and risk prediction strategies for potentially pathogenic species. Next-generation sequencing of and other innovative sequence-based approaches are valuable tools and show great promise for studying ecology and associated public health risks.
海洋真细菌中,属的成员与海洋生态和人类健康都有关,这很有趣。许多研究都称赞了与环境因素(尤其是温度和盐度)的关系,以预测总属的丰度,但缺乏分类学分辨率来识别物种之间的关系和属动态的关键驱动因素。为了改进海洋真细菌的下一代测序 (NGS) 调查,我们对北卡罗来纳州 Neuse 河口两个经过充分研究的地点采集的水样进行了 16S 小亚基 rRNA 和热休克蛋白 60 () 扩增子测序。样本采集于 2016 年 5 月至 12 月,在两次命名风暴后加大了采样力度。使用序列,鉴定出了 21 个种,包括潜在的人类病原体、、和。属群落的变化与水柱的季节性和风暴相关变化相吻合,特别是在飓风马修将富营养淡水涌入河口后,整个属群落发生了巨大变化。个别物种的动态变化范围很广,表明个别属类具有独特的生态,并且总属丰度预测因子不足以评估潜在致病物种的风险。鉴定出了与、甲藻和的正相关关系,以及种内关联,这进一步说明了在环境梯度中共同出现的属类的相互作用。本研究的目的是利用一种新方法改进基于序列的属群落调查,并通过在环境条件背景下分析属动态来展示这种方法的有用性,特别关注引起人类疾病的物种和风暴的影响。这里提出的方法能够以极好的分类分辨率分析属动态,并且可以纳入未来的生态研究和潜在致病物种的风险预测策略。海洋真细菌和其他创新的基于序列的方法的下一代测序是有价值的工具,并且在研究属生态学和相关公共卫生风险方面显示出巨大的前景。