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. 2019 May;103(9):3915-3929.
doi: 10.1007/s00253-019-09767-2. Epub 2019 Mar 26.

Spatial separation of metabolic stages in a tube anaerobic baffled reactor: reactor performance and microbial community dynamics

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Spatial separation of metabolic stages in a tube anaerobic baffled reactor: reactor performance and microbial community dynamics

Ayrat M Ziganshin et al. Appl Microbiol Biotechnol. 2019 May.

Abstract

Spatial separation of metabolic stages in anaerobic digesters can increase the methane content of biogas, as realized in a tube anaerobic baffled reactor. Here, we investigated the performance and microbial community dynamics of a laboratory-scale mesophilic anaerobic baffled reactor with four compartments treating an artificial substrate. Due to the activity of fermentative bacteria, organic acids mostly accumulated in the initial compartments. The methane content of the biogas increased while hydrogen levels decreased along the compartments. Microbial communities were investigated based on bacterial 16S rRNA genes, hydA genes encoding Fe-Fe-hydrogenases, and mcrA genes/transcripts encoding the methyl-CoM reductase. The metaproteome was analyzed to identify active metabolic pathways. During the reactor operation, Clostridia and Bacilli became most abundant in the first compartment. Later compartments were dominated by Sphingobacteriia, Deltaproteobacteria, Clostridia, Bacteroidia, Synergistia, Anaerolineae, Spirochaetes, vadinHA17, and W5 classes. Methanogenic communities were represented by Methanomicrobiales, Methanobacteriaceae, Methanosaeta, and Methanosarcina in the last compartments. Analysis of hydA and mcrA genes and metaproteome data confirmed the spatial separation of metabolic stages. In the first compartment, proteins of carbohydrate transport and metabolism were most abundant. Proteins assigned to coenzyme metabolism and transport as well as energy conservation dominated in the other compartments. Our study demonstrates how the spatial separation of metabolic stages by reactor design is underpinned by the adaptation of the microbial community to different niches.

Keywords: Amplicon pyrosequencing; Anaerobic digestion; Biogas; Metaproteome; hydA; mcrA.

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