Bioenergetically constrained dynamical microbial interactions govern the performance and stability of methane-producing bioreactors.

IF 7.8 1区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Chao-Jui Chang, Chun-Wei Chang, Hsiao-Pei Lu, Chih-Hao Hsieh, Jer-Horng Wu
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Abstract

Biogas generation from organic waste by anaerobic bioreactors as renewable energy largely depends on microbial community and species interplays involved. This microbial networking is complex and time-dependent, influencing community succession and reactor performance, but remains unexplored due to the challenges in quantifying dynamics. We employed empirical dynamic modeling to analyze daily networking from a newly established bioreactor converting sucrose to biogas. Over time, microbial interactions within the three trophic (fermentative, syntrophic, and methanogenic) groups varied substantially more than between groups. Notably, versatile syntrophic bacteria like Syntrophorhabdus exhibited stronger interaction strength (0.14 ± 0.22) to hydrogen-dependent methylotrophic Methanomassiliicoccus than strictly syntrophic bacteria associated with butyrate (0.01 ± 0.01 for Syntrophomonas) and propionate (0.00 ± 0.01 for Syntrophobacter). The time-varying interaction networks were closely linked to the system performance dynamics, particularly concerning hydrogen concentrations. As community succession progressed, the stability of interaction network increased through time, accompanied by increased complexity and higher interaction strength. Causal analyses revealed intricate feedback involving catabolic energetics, community structure, and microbial interactions. These feedback mechanisms played a crucial role in regulating anaerobic degradation processes, thereby offering strategies for manipulating microbial interactions to enhance bioreactor stability and efficiency.

生物能量约束的动态微生物相互作用控制着产甲烷生物反应器的性能和稳定性。
厌氧生物反应器从有机废物中产生沼气作为可再生能源在很大程度上取决于微生物群落和物种之间的相互作用。这种微生物网络复杂且具有时间依赖性,影响群落演替和反应器性能,但由于量化动力学方面的挑战,仍未被探索。我们采用经验动态模型来分析新建立的生物反应器将蔗糖转化为沼气的日常网络。随着时间的推移,微生物在三种营养(发酵、共生和产甲烷)组内的相互作用比组间的变化要大得多。值得注意的是,与丁酸盐(合养单胞菌为0.01±0.01)和丙酸盐(合养杆菌为0.00±0.01)相关的严格合养细菌相比,像Syntrophorhabdus这样的全能合养细菌对氢依赖的甲基营养化methanomasiliicoccus的相互作用强度(0.14±0.22)更强。时变相互作用网络与系统性能动力学密切相关,特别是与氢浓度有关。随着群落演替的进行,相互作用网络的稳定性随着时间的推移而增强,相互作用的复杂性和强度也随之增加。因果分析揭示了涉及分解代谢能量学、群落结构和微生物相互作用的复杂反馈。这些反馈机制在调节厌氧降解过程中发挥了至关重要的作用,从而为操纵微生物相互作用提供了策略,以提高生物反应器的稳定性和效率。
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来源期刊
npj Biofilms and Microbiomes
npj Biofilms and Microbiomes Immunology and Microbiology-Microbiology
CiteScore
12.10
自引率
3.30%
发文量
91
审稿时长
9 weeks
期刊介绍: npj Biofilms and Microbiomes is a comprehensive platform that promotes research on biofilms and microbiomes across various scientific disciplines. The journal facilitates cross-disciplinary discussions to enhance our understanding of the biology, ecology, and communal functions of biofilms, populations, and communities. It also focuses on applications in the medical, environmental, and engineering domains. The scope of the journal encompasses all aspects of the field, ranging from cell-cell communication and single cell interactions to the microbiomes of humans, animals, plants, and natural and built environments. The journal also welcomes research on the virome, phageome, mycome, and fungome. It publishes both applied science and theoretical work. As an open access and interdisciplinary journal, its primary goal is to publish significant scientific advancements in microbial biofilms and microbiomes. The journal enables discussions that span multiple disciplines and contributes to our understanding of the social behavior of microbial biofilm populations and communities, and their impact on life, human health, and the environment.
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