Investigating the robustness of microbial communities in municipal sludge anaerobic digestion under organic loading rate disturbance.

J Environ Manage

College of Architecture and Environment, Sichuan University, No.24 South Section 1 First Ring Road, Chengdu, Sichuan, 610065, China.

Published: December 2024

AI Article Synopsis

  • Anaerobic digestion (AD) can face disturbances from changes in organic loading rates (OLRs), impacting sludge treatment, but there has been limited research on how these systems cope with such issues.
  • The study assessed both the performance of reactors and the active microbial communities during OLR shocks and fluctuations, revealing that the mesophilic communities exhibited resilience and recovered from these disturbances.
  • Analysis revealed that a diverse microbial community contributed to functional redundancy, enhancing robustness against OLR changes, and also highlighted the discovery of metabolic diversity in aerobic autotrophic bacteria in AD systems, pointing to new avenues for optimizing microbial regulation and AD design.

Article Abstract

Anaerobic digestion (AD) frequently encounters disturbances due to variations in organic loading rates (OLRs), which can result in the failure of the sludge treatment process. However, there is a lack of comprehensive studies on the robustness of AD systems against OLR disturbances and the underlying mechanisms. In this study, the responses of reactor performance and active microbial communities in mesophilic AD were investigated and compared under conditions of OLR shock and OLR fluctuation. Statistical analysis confirmed that all reactors recovered from both types of OLR disturbance, indicating both functional and structural robustness of the mesophilic community. Based on metagenomics and metatranscriptomics analyses, it was observed that high diversity within the microbial community led to functional redundancy, which appears to be a key mechanism contributing to the robustness against OLR disturbances. Additionally, for the first time, the potential metabolic diversity of aerobic autotrophy bacteria in AD reactors was identified, including their roles in the utilization of glucose and acetate. Furthermore, the analysis of topological properties within the microbial interaction network was conducted, and the robustness of the community network was verified through the application of random node deletion attacks. The findings from this study provide valuable information for the effective regulation of microbial communities and the design of practical AD systems.

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http://dx.doi.org/10.1016/j.jenvman.2024.123326DOI Listing

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