Time‐lagged interspecies interactions prevail during biofilm development in moving bed biofilm reactor

生物膜 种间竞争 生物量(生态学) 竞赛(生物学) 生物 多糖 系统发育关系 系统发育树 生态学 细菌 生物化学 遗传学 基因
作者
Shasha Yuan,Sixian Guo,Xihao Huang,Fangang Meng
出处
期刊:Biotechnology and Bioengineering [Wiley]
卷期号:119 (10): 2770-2783 被引量:1
标识
DOI:10.1002/bit.28177
摘要

Abstract Clarifying the essential succession dynamics of interspecies interactions during biofilm development is crucial for the regulation and application of biofilm‐based processes. In this study, regular and time‐series phylogenetic molecular ecological networks were constructed to investigate ordinary and time‐lagged interspecies interactions during biofilm development in a moving bed biofilm reactor. Positive interactions dominated both regular (89.78%) and time‐series (77.04%) ecological networks, suggesting that extensive cooperative behaviors facilitated biofilm development. The pronounced directional interactions (72.52%) in the time‐series network further indicated that time‐lagged interspecies interactions prevailed in the biofilm development process. Specifically, the proportion of directional negative interactions was higher than that of positive interactions, implying that interspecific competition preferred to be time‐lagged. The time‐series network revealed that module hubs exhibited extensive time‐lagged positive interactions with their neighbors, and most of them exhibited altruistic behaviors. Keystone species possessing more positive interactions were positively correlated with biofilm biomass, NO 3 − ‐N concentrations, and the removal efficiencies of NH 4 + ‐N and chemical oxygen demand. However, keystone species and peripherals that were negatively targeted by their neighbors showed positive correlations with the concentrations of NO 2 − ‐N, polysaccharides, and proteins in the soluble microbial products. The data highlight that the time‐series network can provide directional microbial interactions along with the biofilm development process, which would help to predict the tendency of community shifts and propose efficient strategies for the regulation of biofilm‐based processes.

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