The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.
The Hong Kong Polytechnic University, Hung Hom, Kowloon , Hong Kong.
Environ Sci Technol. 2022 May 17;56(10):6596-6607. doi: 10.1021/acs.est.1c05258. Epub 2022 Apr 27.
Biological models describing anaerobic digestion (AD) of sewage sludge have been widely applied to test various control and operation strategies. Anaerobic digestion model 1 (ADM1) provides a generic platform that includes the main processes of AD, excluding homoacetogenesis and the microbial structure. Homoacetogenic bacteria have been identified as important competitors for hydrogen consumption and acetate production. Although recent advances in meta-omics techniques have improved our characterization of AD microbial communities, conventional models treat functional groups as homogeneous and overlook the physiology and behavior of microbial individuality, limiting insights into mechanisms governing process performance. A novel microbial individuality model (MIM) that integrates kinetics, energetics, and agent-based modeling to describe a microbiome's behavior as heterogenic populations, including homoacetogenesis, was developed. The MIM was validated with two datasets from previous studies through daily biogas production, methane content, compound concentrations, and microbial relative abundance changes. The MIM identified the emergence of at low concentrations of acetate. Moreover, this simulation supports experimental studies confirming that the overlooked homoacetogenesis is an important hydrogen sink in AD. Validated MIMs are expected to provide insights into syntrophic and competitive interactions among microbiomes in AD systems while testing different operational parameters in a virtual environment. The MIM offers a methodological framework to other biological treatment systems and their microbial community dynamics.
描述污水污泥厌氧消化(AD)的生物模型已被广泛应用于测试各种控制和操作策略。厌氧消化模型 1(ADM1)提供了一个通用平台,其中包括 AD 的主要过程,不包括同型产乙酸作用和微生物结构。同型产乙酸菌已被确定为消耗氢气和产生乙酸的重要竞争者。尽管元组学技术的最新进展提高了我们对 AD 微生物群落的表征能力,但传统模型将功能群视为同质的,忽略了微生物个体的生理学和行为,限制了对控制过程性能的机制的深入了解。开发了一种新的微生物个体模型(MIM),该模型将动力学、能量学和基于代理的建模相结合,用于描述微生物组作为异质群体(包括同型产乙酸作用)的行为。通过每日沼气产量、甲烷含量、化合物浓度和微生物相对丰度变化,使用来自先前研究的两个数据集对 MIM 进行了验证。MIM 确定了在低浓度乙酸下的出现。此外,该模拟支持实验研究,证实被忽视的同型产乙酸作用是 AD 中的一个重要氢汇。验证后的 MIM 有望提供对 AD 系统中微生物群落之间的共生和竞争相互作用的深入了解,同时在虚拟环境中测试不同的操作参数。MIM 为其他生物处理系统及其微生物群落动态提供了一种方法框架。