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首页> 外文期刊>Aquatic Microbial Ecology >Marine bacterioplankton consortia follow deterministic, non-neutral community assembly rules
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Marine bacterioplankton consortia follow deterministic, non-neutral community assembly rules

机译:海洋细菌植物组成部分遵循确定性,非中立社区组装规则

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摘要

The Bermuda Atlantic Time-series Study site provided an opportunity to study bacterial community assembly processes at 2 different depths, the surface and 200 m, in the upper mesopelagic, just below the euphotic zone. Over 100 monthly bacterioplankton DNA samples, from each depth, were analyzed using 16S rRNA gene sequences parsed with the custom software package PhyloAssigner. Co-occurrence networks, filtered for potential autocorrelation artifacts, were constructed for each depth. Network characteristics for the 2 depths were remarkably similar, and network parameters, such as connectance, were in the same range as previously published for ecological networks. Spectral clustering applied to similarity matrices based on exact connections revealed clusters of nodal taxonomic units (NTUs) that peaked at similar times, supporting deterministic, niche-based assembly. An algorithm that used hierarchical Dirichlet processes (HDPs) to model neutral communities based on learned parameters indicated that community assembly processes fit niche-based models at the metacommunity level for both depths. However, HDP analyses restricted to SAR11, SAR86, or SAR202 NTUs supported the neutral assembly hypothesis, suggesting that neutral process models may apply within some phylogenetic domains. To understand whether phylogenetically related taxa can substitute for one another in networks, we created a new metric, phylogenetically weighted connectivity, which considered the similarity of connections among near phylogenetic neighbors. This analysis suggested that phylogenetically similar lineages share similar network connections. Overall, our findings show that niche-based community assembly models are the best fit at both depths but that the neutral model may apply at some phylogenetic scales.
机译:百慕大大西洋时间系列研究现场提供了在Euphotic区下方的2种不同深度,表面和200米处学习细菌群落组装过程的机会。使用与定制软件包Phyloassigner解析的16S RRNA基因序列分析来自每个深度的100多个每月菌株的DNA样品。为潜在自相关工件过滤的共发生网络是为每个深度构造的。对于2深度的网络特性非常相似,并且网络参数(例如连接)与以前为生态网络发布的相同范围内。应用于基于精确连接的相似性矩阵的光谱聚类揭示了在类似时间达到峰值的节点分类单位(NTU)的簇,支持确定性的基于利基的组装。一种使用分层Dirichlet进程(HDP)基于学习参数模拟中性社区的算法指示社区组装处理适用于两个深度的MetaceConity水平的基于利基的模型。然而,限于SAR11,SAR86或SAR202 NTU的HDP分析支持中性组装假设,表明中性过程模型可以在一些系统发育结构域内施加。为了了解系统源性相关的分类群是否可以在网络中彼此替代,我们创造了一种新的度量,系统发育加权连接,​​其认为在系统发育邻居附近的关系中的相似性。该分析表明,系统发育地类似的谱系共享类似的网络连接。总体而言,我们的研究结果表明,基于利基的社区组装模型是两种深度的最佳拟合,但中性模型可能适用于一些系统发育尺度。

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