Insights into prokaryotic metataxonomics and predictive metabolic function in field-scale anaerobic digesters treating various organic wastes

Hoo Hugo Kim, Bikram Basak, Dong-Yeol Lee, Woo Jin Chung, Soon Woong Chang, Min-Jin Kwak, Seung Hyun Kim, Jae Kyoon Hwang, Jihyun Keum, Hyun-Kyung Park, Geon-Soo Ha, Kwang Ho Kim and Byong-Hun Jeon

Renewable and Sustainable Energy Reviews, 2023, vol. 187, issue C

Abstract: The operational temperature and nature of the substrates are two critical parameters in shaping the functional microbiota and determining the biogas productivity of field-scale anaerobic digesters. Elucidating microbial ecological configurations and dynamics as a function of parametric (temperature, pH, substrate variability etc.) variations is pivotal for effective process management, improving the process stability and digestion efficiency of large field-scale anaerobic digesters. Seventeen field-scale digesters treating food waste leachate, municipal wastewater sludge (MWS), and manure at 10 different sites across the Republic of Korea were studied to assess how substrate variations, including co-digestion and seasonal variation, affect biogas productivity and the compositional dynamics of the digester microbiota. The 16S rRNA gene metataxonomics and predictive metabolic pathway profiling revealed significant differences in the phylogenetic composition of the microbiota between the digester types depending on the presence of MWS in the substrate (p < 0.005). A clear compositional divergence was observed between the MWS and non-MWS substrate groups, with a high prevalence of Firmicutes and versatile organic matter-degrading genera (Fastidiosipila, Acholeplasma, etc.) in the non-MWS digesters, resulting in a significantly high biogas yield (53.4 Nm3/t). Predictive metabolic pathway profiling demonstrated the importance of acetoclastic methanogenesis in all anaerobic digestion groups subjected to the study. The results of this study suggest that metataxonomics and microbiota dynamics are good indicators of the process stability and efficiency of field-scale digesters across the parametric variations of field anaerobic digester systems.

Keywords: Anaerobic digestion; Metataxonomics; Metagenomics; 16S rRNA gene; Predictive metabolic pathway profiling (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1016/j.rser.2023.113685

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