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Microbial community composition and dynamics in high-temperature biogas reactors using industrial bioethanol waste as substrate
Authors:Immo Röske  Wael Sabra  Heiko Nacke  Rolf Daniel  An-Ping Zeng  Garabed Antranikian  Kerstin Sahm
Affiliation:1. Institute of Technical Microbiology, Hamburg University of Technology, Kasernenstra?e 12, Hamburg, 21073, Germany
2. Institute of Bioprocess and Biosystems Engineering, Hamburg University of Technology, Hamburg, Germany
3. Microbiology Department, Faculty of Science, Alexandria University, Alexandria, Egypt
4. Department of Genomic and Applied Microbiology and G?ttingen Genomics Laboratory, Georg-August-University, G?ttingen, Germany
Abstract:Stillage, which is generated during bioethanol production, constitutes a promising substrate for biogas production within the scope of an integrated biorefinery concept. In this study, a microbial community was grown on thin stillage as mono-substrate in a continuous stirred tank reactor (CSTR) at a constant temperature of 55 °C, at an organic loading rate of 1.5 goTS/L*d and a retention time of 25 days. Using an amplicon-based dataset of 17,400 high-quality sequences of 16S rRNA gene fragments (V2–V3 regions), predominance of Bacteria assigned to the families Thermotogaceae and Elusimicrobiaceae was detected. Dominant members of methane-producing Euryarchaeota within the CSTR belonged to obligate acetoclastic Methanosaetaceae and hydrogenotrophic Methanobacteriaceae. In order to investigate population dynamics during reactor acidification, the organic loading rate was increased abruptly, which resulted in an elevated concentration of volatile fatty acids. Acidification led to a decrease in relative abundance of Bacteria accompanied with stable numbers of Archaea. Nevertheless, the abundance of Methanosaetaceae increased while that of Methanobacteriales decreased successively. These findings demonstrate that a profound intervention to the biogas process may result in persistent community changes and reveals uncommon bacterial families as process-relevant microorganisms.
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