核心沉积物细菌驱动群落对人为污染的响应,跨越多个环境梯度。
Core sediment bacteria drive community response to anthropogenic contamination over multiple environmental gradients.
机构信息
Evolution and Ecology Research Center, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia.
出版信息
Environ Microbiol. 2013 Sep;15(9):2517-31. doi: 10.1111/1462-2920.12133. Epub 2013 May 6.
In this study, 454 pyrosequencing of the 16S rRNA gene was used to investigate sediment bacterial community response to contaminant disturbance across six estuaries with differing levels of 'modification'. We observed a significant influence of metal and polycyclic aromatic hydrocarbon contaminants in shaping bacterial community composition, structure and diversity, with metals being the more influential contaminant. An abundant and pervasive 'core' set of bacteria found in every sample were largely responsible for mediating community response to contamination. These 13 core operational taxonomic units were mostly comprised of Gamma-, Delta-, Alphaproteobacteria and Acidobacteria. Sediment silt and metals together explained the most variation in bacterial community composition (19.7%). Following this strong contaminant signature, salinity and temperature represented important environmental variables predicting 10.9% of community variation. While overall network connectivity measures supported the idea of an inherently diverse soil microbiome with some degree of functional redundancy, lower values observed in contaminated sediments indicate potential structural perturbations in the community from fracturing or loss of bacterial associations. The large number of unclassified sequences obtained in this study contribute to improving our understanding of environmentally relevant strains in relation to anthropogenic contamination, which have been overlooked in laboratory studies.
在这项研究中,我们使用了 16S rRNA 基因的 454 焦磷酸测序技术,调查了六个具有不同“改造”程度的河口沉积物细菌群落对污染物干扰的响应。我们观察到金属和多环芳烃污染物对细菌群落组成、结构和多样性有显著影响,其中金属是更具影响力的污染物。在每个样本中都发现了大量普遍存在的“核心”细菌群,这些细菌在很大程度上介导了对污染的群落响应。这 13 个核心操作分类单元主要由 Gamma-、Delta-、Alphaproteobacteria 和 Acidobacteria 组成。沉积物淤泥和金属共同解释了细菌群落组成变化的最大部分(19.7%)。在这种强烈的污染物特征之后,盐度和温度是预测群落变化的 10.9%的重要环境变量。虽然整体网络连通性测量支持了土壤微生物组具有内在多样性和一定功能冗余的观点,但在受污染的沉积物中观察到的较低值表明,群落可能因细菌关联的断裂或丧失而发生结构扰动。本研究中获得的大量未分类序列有助于提高我们对与人为污染有关的环境相关菌株的理解,这些菌株在实验室研究中被忽视了。