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Gewählte Publikation:

Bauer, C; Korthals, M; Gronauer, A; Lebuhn, M.
(2008): Methanogens in biogas production from renewable resources--a novel molecular population analysis approach.
Water Sci Technol. 2008; 58(7):1433-1439 FullText FullText_BOKU

The population structure of thermo-and mesophilic biogas reactors digesting maize silage as the sole substrate was investigated employing a novel, highly degenerated PCR-primer pair targeting mcrA/mrtA coding for the key enzyme of methanogens. No sequence affiliating with Methanococcales, Methanopyrales, ANME-, rice or fen soil clusters was detected. Direct MeA PCR-cloning results indicated that Methanobacteriales were the most important methanogens in the thermophilic reactors. 57% and 80% of the analysed sequences affiliated with this order, 14% and 20% with Methanosarcinaceae and 0% and 29% with Methanomicrobiales. Methanomicrobiales dominated in the mesophilic reactors at the given conditions, 69% and 84% of the sequences recovered from direct MeA primed cloning affiliated with this order, 31% and 0% with Methanosarcinaceae and 0% and 16% with Methanobacteriales. No sequence affiliating with Methanosaetaceae was found. MeA primed PCR-single-strand conformation polymorphism indicated that population fluctuations occurred. According to sequence analysis of excised bands, Methanosarcinaceae dominated and Methanobacteriales were significantly represented in the thermophilic fermenter. Only 1 Methanosaetaceae sequence was found. Hydrogenotrophs appear to have a much higher and obligate acetoclastic methanogens a much lower importance than previously thought in biogas production from renewable resources.
Autor*innen der BOKU Wien:
Gronauer Andreas
Find related publications in this database (using NML MeSH Indexing)
Bioreactors - microbiology
Methane - biosynthesis
Methanobacteriales - classification
Methanomicrobiales - classification
Methanosarcinaceae - classification
Polymerase Chain Reaction -
Polymorphism, Single-Stranded Conformational -

Find related publications in this database (Keywords)
maize silage
microbial population analysis

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