Horn Point Laboratory, University of Maryland Center for Environmental Science, Cambridge, MD, USA.
ISME J. 2013 Oct;7(10):1899-911. doi: 10.1038/ismej.2013.79. Epub 2013 May 30.
Bacterioplankton communities are deeply diverse and highly variable across space and time, but several recent studies demonstrate repeatable and predictable patterns in this diversity. We expanded on previous studies by determining patterns of variability in both individual taxa and bacterial communities across coastal environmental gradients. We surveyed bacterioplankton diversity across the Columbia River coastal margin, USA, using amplicon pyrosequencing of 16S rRNA genes from 596 water samples collected from 2007 to 2010. Our results showed seasonal shifts and annual reassembly of bacterioplankton communities in the freshwater-influenced Columbia River, estuary, and plume, and identified indicator taxa, including species from freshwater SAR11, Oceanospirillales, and Flavobacteria groups, that characterize the changing seasonal conditions in these environments. In the river and estuary, Actinobacteria and Betaproteobacteria indicator taxa correlated strongly with seasonal fluctuations in particulate organic carbon (ρ=-0.664) and residence time (ρ=0.512), respectively. In contrast, seasonal change in communities was not detected in the coastal ocean and varied more with the spatial variability of environmental factors including temperature and dissolved oxygen. Indicator taxa of coastal ocean environments included SAR406 and SUP05 taxa from the deep ocean, and Prochlorococcus and SAR11 taxa from the upper water column. We found that in the Columbia River coastal margin, freshwater-influenced environments were consistent and predictable, whereas coastal ocean community variability was difficult to interpret due to complex physical conditions. This study moves beyond beta-diversity patterns to focus on the occurrence of specific taxa and lends insight into the potential ecological roles these taxa have in coastal ocean environments.
细菌浮游生物群落具有丰富的多样性,在空间和时间上高度可变,但最近的几项研究表明,这种多样性存在可重复且可预测的模式。我们通过确定沿海环境梯度中单个分类群和细菌群落的变异性模式,扩展了以前的研究。我们使用从 2007 年至 2010 年采集的 596 个水样的 16S rRNA 基因扩增子焦磷酸测序,调查了美国哥伦比亚河沿海边缘的细菌浮游生物多样性。我们的研究结果表明,在受淡水影响的哥伦比亚河、河口和羽流中,细菌浮游生物群落存在季节性变化和年度重组,并确定了指示性分类群,包括来自淡水 SAR11、海洋螺旋体和黄杆菌群的物种,这些物种特征化了这些环境中不断变化的季节性条件。在河流和河口,放线菌和β-变形菌指示性分类群与颗粒有机碳(ρ=-0.664)和停留时间(ρ=0.512)的季节性波动密切相关。相比之下,在沿海海洋中未检测到群落的季节性变化,其变化更多地与环境因素的空间变异性有关,包括温度和溶解氧。沿海海洋环境的指示性分类群包括来自深海的 SAR406 和 SUP05 分类群,以及来自上层水柱的聚球藻和 SAR11 分类群。我们发现,在哥伦比亚河沿海边缘,受淡水影响的环境具有一致性和可预测性,而沿海海洋群落的变异性由于复杂的物理条件而难以解释。本研究超越了β多样性模式,重点关注特定分类群的出现,并深入了解这些分类群在沿海海洋环境中可能具有的潜在生态作用。