Rules Governing General Assembly of Microbial Communities in Engineered Biotreatment Processes

生化工程 微生物种群生物学 生物技术 化学 工程类 生物 细菌 遗传学
作者
Yongchao Wang,Ya‐Hui Lv,Ye Deng,Yu-Ting Lin,Guanyu Jiang,John C. Crittenden,Can Wang
出处
期刊:Engineering [Elsevier BV]
卷期号:60: 260-269 被引量:2
标识
DOI:10.1016/j.eng.2025.06.041
摘要

• Initial acclimation or disturbances shift community structure towards deterministic assembly. • The performance of bioreactors is associated with community assembly processes. • A conceptual model linking disturbances, community assembly, and performance is proposed. The principles of microbial community assembly in engineered ecosystems (particularly biotreatment processes) exposed to high-intensity environmental disturbances remain poorly understood. In this study, we conducted a meta-analysis of microbial communities across nine datasets from bioreactors operated under varied conditions. Null model-based analysis indicated that stochastic processes predominantly govern community assembly during contaminant-free selection phases or stable operation. In contrast, deterministic processes consistently govern initial acclimation of activated sludge. These processes then shift toward stochastic dominance as the operation stabilizes. The presence of environmental disturbances—such as shock, refeeding, or stress—during operation increases the relative contribution of deterministic processes to community structuring. Notably, low bioreactor performance is associated with deterministic assembly, whereas sustained stable operation corresponds to stochastic dynamics, irrespective of reactor type or condition. These findings were integrated across four categories of biotreatment operations to illustrate how specific disturbances influence microbial community succession and performance stability. This work advances the theoretical understanding of microbial dynamics in engineered systems and offers practical insights into linking community assembly mechanisms with bioreactor function.
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