Marker microbiome clusters are determined by operational parameters and specific key taxa combinations in anaerobic digestion.

Bioresour Technol

Center for Microbial Ecology and Technology (CMET), Ghent University, Coupure Links 653, B-9000 Gent, Belgium.

Published: September 2018

AI Article Synopsis

  • - The study compared the microbiomes of 36 anaerobic digesters from 22 biogas plants using TRFLP analysis, identifying that temperature is the most crucial environmental factor influencing microbial community composition.
  • - The analysis highlighted significant interactions between specific bacterial and archaeal communities, particularly noting the dominance of Bacteroidetes and Cloacimonetes along with Methanothrix in processing certain feedstocks like waste water sludge.
  • - Each anaerobic digestion plant exhibited a unique microbiome, with rare species playing a potentially vital role by providing essential functions in challenging processing conditions.

Article Abstract

In this study, microbiomes of 36 full-scale anaerobic digesters originated from 22 different biogas plants were compared by terminal restriction fragment length polymorphism (TRFLP) analysis. Regarding the differences in microbial community composition, a weighting of the environmental parameters could be derived from higher to lower importance as follows: (i) temperature, (ii) TAN and NH concentrations and conductivity, and (iii) the chemical composition of the supplied feedstocks. Biotic interactions between specific bacterial and archaeal community arrangements were revealed, whereby members of the phyla Bacteroidetes and Cloacimonetes combined with the archaeal genus Methanothrix dominated the conversion of homogeneous feedstocks, such as waste water sludge or industrial waste. As most of the detected TRFs were only found in a certain number of anaerobic digestion plants, each plant develops its unique microbiome. The putative rare species, the specialists, are potentially hidden drivers of microbiome functioning as they provide necessary traits under, e.g., process-inconvenient conditions.

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http://dx.doi.org/10.1016/j.biortech.2018.04.111DOI Listing

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