Unveiling the deterministic dynamics of microbial meta-metabolism: a multi-omics investigation of anaerobic biodegradation.

IF 13.8 1区 生物学 Q1 MICROBIOLOGY
Xingsheng Yang, Kai Feng, Shang Wang, Mengting Maggie Yuan, Xi Peng, Qing He, Danrui Wang, Wenli Shen, Bo Zhao, Xiongfeng Du, Yingcheng Wang, Linlin Wang, Dong Cao, Wenzong Liu, Jianjun Wang, Ye Deng
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引用次数: 0

Abstract

Background: Microbial anaerobic metabolism is a key driver of biogeochemical cycles, influencing ecosystem function and health of both natural and engineered environments. However, the temporal dynamics of the intricate interactions between microorganisms and the organic metabolites are still poorly understood. Leveraging metagenomic and metabolomic approaches, we unveiled the principles governing microbial metabolism during a 96-day anaerobic bioreactor experiment.

Results: During the turnover and assembly of metabolites, homogeneous selection was predominant, peaking at 84.05% on day 12. Consistent dynamic coordination between microbes and metabolites was observed regarding their composition and assembly processes. Our findings suggested that microbes drove deterministic metabolite turnover, leading to consistent molecular conversions across parallel reactors. Moreover, due to the more favorable thermodynamics of N-containing organic biotransformations, microbes preferentially carried out sequential degradations from N-containing to S-containing compounds. Similarly, the metabolic strategy of C18 lipid-like molecules could switch from synthesis to degradation due to nutrient exhaustion and thermodynamical disadvantage. This indicated that community biotransformation thermodynamics emerged as a key regulator of both catabolic and synthetic metabolisms, shaping metabolic strategy shifts at the community level. Furthermore, the co-occurrence network of microbes-metabolites was structured around microbial metabolic functions centered on methanogenesis, with CH4 as a network hub, connecting with 62.15% of total nodes as 1st and 2nd neighbors. Microbes aggregate molecules with different molecular traits and are modularized depending on their metabolic abilities. They established increasingly positive relationships with high-molecular-weight molecules, facilitating resource acquisition and energy utilization. This metabolic complementarity and substance exchange further underscored the cooperative nature of microbial interactions.

Conclusions: All results revealed three key rules governing microbial anaerobic degradation. These rules indicate that microbes adapt to environmental conditions according to their community-level metabolic trade-offs and synergistic metabolic functions, further driving the deterministic dynamics of molecular composition. This research offers valuable insights for enhancing the prediction and regulation of microbial activities and carbon flow in anaerobic environments. Video Abstract.

揭示微生物元代谢的确定性动态:厌氧生物降解的多组学研究。
背景:微生物厌氧代谢是生物地球化学循环的主要驱动力,影响着生态系统的功能以及自然环境和工程环境的健康。然而,人们对微生物与有机代谢物之间错综复杂的相互作用的时间动态仍然知之甚少。利用元基因组学和代谢组学方法,我们在为期 96 天的厌氧生物反应器实验中揭示了微生物新陈代谢的原理:结果:在代谢物的周转和组装过程中,同质选择占主导地位,在第 12 天达到 84.05%的峰值。在代谢物的组成和组装过程中,我们观察到微生物和代谢物之间始终保持动态协调。我们的研究结果表明,微生物推动了代谢物的确定性更替,从而导致了并联反应器中分子转化的一致性。此外,由于含 N 有机物生物转化的热力学更有利,微生物优先进行从含 N 到含 S 化合物的顺序降解。同样,由于营养耗竭和热力学劣势,C18 类脂质分子的代谢策略也可能从合成转向降解。这表明群落生物转化热力学是分解代谢和合成代谢的关键调节因素,在群落水平上影响着代谢策略的转变。此外,微生物与代谢物的共现网络是围绕以甲烷生成为中心的微生物代谢功能而构建的,其中 CH4 是网络的枢纽,与总节点中 62.15%的节点建立了第一和第二相邻关系。微生物聚集了具有不同分子特征的分子,并根据其代谢能力进行模块化。它们与高分子量分子建立了越来越积极的关系,促进了资源获取和能量利用。这种代谢互补和物质交换进一步强调了微生物相互作用的合作性质:所有结果都揭示了微生物厌氧降解的三个关键规则。这些规则表明,微生物根据其群落级代谢权衡和协同代谢功能来适应环境条件,进一步推动了分子组成的确定性动态变化。这项研究为加强厌氧环境中微生物活动和碳流的预测与调控提供了宝贵的见解。视频摘要。
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来源期刊
Microbiome
Microbiome MICROBIOLOGY-
CiteScore
21.90
自引率
2.60%
发文量
198
审稿时长
4 weeks
期刊介绍: Microbiome is a journal that focuses on studies of microbiomes in humans, animals, plants, and the environment. It covers both natural and manipulated microbiomes, such as those in agriculture. The journal is interested in research that uses meta-omics approaches or novel bioinformatics tools and emphasizes the community/host interaction and structure-function relationship within the microbiome. Studies that go beyond descriptive omics surveys and include experimental or theoretical approaches will be considered for publication. The journal also encourages research that establishes cause and effect relationships and supports proposed microbiome functions. However, studies of individual microbial isolates/species without exploring their impact on the host or the complex microbiome structures and functions will not be considered for publication. Microbiome is indexed in BIOSIS, Current Contents, DOAJ, Embase, MEDLINE, PubMed, PubMed Central, and Science Citations Index Expanded.
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