Your browser doesn't support javascript.
loading
Unveiling the deterministic dynamics of microbial meta-metabolism: a multi-omics investigation of anaerobic biodegradation.
Yang, Xingsheng; Feng, Kai; Wang, Shang; Yuan, Mengting Maggie; Peng, Xi; He, Qing; Wang, Danrui; Shen, Wenli; Zhao, Bo; Du, Xiongfeng; Wang, Yingcheng; Wang, Linlin; Cao, Dong; Liu, Wenzong; Wang, Jianjun; Deng, Ye.
Afiliación
  • Yang X; CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China.
  • Feng K; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Wang S; CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China.
  • Yuan MM; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Peng X; CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China.
  • He Q; Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, 94704, USA.
  • Wang D; CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China.
  • Shen W; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Zhao B; CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China.
  • Du X; CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China.
  • Wang Y; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Wang L; CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China.
  • Cao D; CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China.
  • Liu W; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Wang J; CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (CAS), Beijing, 100085, China.
  • Deng Y; University of Chinese Academy of Sciences, Beijing, 100049, China.
Microbiome ; 12(1): 166, 2024 Sep 07.
Article en En | MEDLINE | ID: mdl-39244624
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.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Biodegradación Ambiental / Reactores Biológicos / Metabolómica / Microbiota Idioma: En Revista: Microbiome Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Biodegradación Ambiental / Reactores Biológicos / Metabolómica / Microbiota Idioma: En Revista: Microbiome Año: 2024 Tipo del documento: Article País de afiliación: China