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中国污水处理厂中的微生物群落组装。

Microbial communities assembly in wastewater treatment plants in China.

机构信息

State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, Jiangsu, China.

State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, Jiangsu, China.

出版信息

Sci Total Environ. 2024 Oct 15;947:174751. doi: 10.1016/j.scitotenv.2024.174751. Epub 2024 Jul 14.

Abstract

Community assembly processes determine community structure. Deterministic processes are essential for optimizing activated sludge (AS) bioreactor performance. However, the debate regarding the relative importance of determinism versus stochasticity remains contentious, and the influencing factors are indistinct. This study used large-scale 16S rRNA gene data derived from 252 AS samples collected from 28 cities across China to explore the mechanism of AS community assembly. Results showed that the northern communities possessed lower spatial turnover and more significant dispersal limitation than those in the south, whereas the latter had more substantial deterministic processes than the former (14.46 % v.s. 9.12 %). Meanwhile, the communities in the south exhibited lower network complexity and stability. We utilized a structural equation model to explore the drivers of deterministic processes. Results revealed that low network complexity (r = -0.56, P < 0.05) and high quorum sensing bacteria abundance (r = 0.25, P < 0.001) promoted deterministic assembly, which clarifies why determinism was stronger in southern communities than northern ones. Furthermore, total phosphorus and hydraulic retention time were found to be the primary abiotic drivers. These findings provide evidence to understand the community deterministic assembly, which is crucial for resolving community structure and improving bioreactor performance.

摘要

群落组装过程决定群落结构。确定性过程对于优化活性污泥(AS)生物反应器性能至关重要。然而,关于决定性和随机性相对重要性的争论仍然存在争议,并且影响因素尚不明确。本研究使用源自中国 28 个城市的 252 个 AS 样本的大规模 16S rRNA 基因数据,探索 AS 群落组装的机制。结果表明,北方群落的空间周转率较低,扩散限制比南方更明显,而后者的确定性过程比前者更显著(14.46%比 9.12%)。同时,南方群落的网络复杂性和稳定性较低。我们利用结构方程模型探讨确定性过程的驱动因素。结果表明,网络复杂性低(r=-0.56,P<0.05)和群体感应细菌丰度高(r=0.25,P<0.001)促进了确定性组装,这解释了为什么南方群落的确定性比北方群落更强。此外,总磷和水力停留时间被发现是主要的非生物驱动因素。这些发现为理解群落确定性组装提供了证据,这对于解决群落结构和改善生物反应器性能至关重要。

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