Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore, 637551, Singapore.
Department of Civil and Environmental Engineering, University of California, Davis, CA, 95616, USA.
NPJ Biofilms Microbiomes. 2019 Feb 11;5(1):8. doi: 10.1038/s41522-019-0079-4. eCollection 2019.
Disturbance is known to affect the ecosystem structure, but predicting its outcomes remains elusive. Similarly, community diversity is believed to relate to ecosystem functions, yet the underlying mechanisms are poorly understood. Here, we tested the effect of disturbance on the structure, assembly, and ecosystem function of complex microbial communities within an engineered system. We carried out a microcosm experiment where activated sludge bioreactors operated in daily cycles were subjected to eight different frequency levels of augmentation with a toxic pollutant, from never (undisturbed) to every day (press-disturbed), for 35 days. Microbial communities were assessed by combining distance-based methods, general linear multivariate models, α-diversity indices, and null model analyses on metagenomics and 16S rRNA gene amplicon data. A stronger temporal decrease in α-diversity at the extreme, undisturbed and press-disturbed, ends of the disturbance range led to a hump-backed pattern, with the highest diversity found at intermediate levels of disturbance. Undisturbed and press-disturbed levels displayed the highest community and functional similarity across replicates, suggesting deterministic processes were dominating. The opposite was observed amongst intermediately disturbed levels, indicating stronger stochastic assembly mechanisms. Trade-offs were observed in the ecosystem function between organic carbon removal and both nitrification and biomass productivity, as well as between diversity and these functions. Hence, not every ecosystem function was favoured by higher community diversity. Our results show that the assessment of changes in diversity, along with the underlying stochastic-deterministic assembly processes, is essential to understanding the impact of disturbance in complex microbial communities.
干扰会影响生态系统结构,但预测其结果仍然难以捉摸。同样,人们认为群落多样性与生态系统功能有关,但潜在的机制还了解甚少。在这里,我们测试了干扰对工程系统中复杂微生物群落结构、组装和生态系统功能的影响。我们进行了一项微宇宙实验,其中活性污泥生物反应器每天循环运行,并以从未(未受干扰)到每天(受压干扰)的 8 种不同频率水平添加有毒污染物,持续 35 天。通过组合距离方法、广义线性多变量模型、α多样性指数和基于零模型的分析,对宏基因组和 16S rRNA 基因扩增子数据进行了微生物群落评估。在干扰范围的极端(未受干扰和受压干扰)端,α多样性的更强的时间下降导致了一种驼峰模式,在中等干扰水平下发现了最高的多样性。未受干扰和受压干扰水平在重复之间表现出最高的群落和功能相似性,表明确定性过程占主导地位。而在中等干扰水平之间则观察到相反的情况,表明更强的随机组装机制。在有机碳去除以及硝化和生物量生产力之间,以及多样性和这些功能之间,观察到生态系统功能之间的权衡。因此,并非每种生态系统功能都受到更高的群落多样性的青睐。我们的结果表明,评估多样性的变化以及潜在的随机-确定性组装过程对于理解复杂微生物群落中干扰的影响至关重要。