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
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- Abstract:
- 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)
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Bioreactors - microbiology
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Methane - biosynthesis
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Methanobacteriales - classification
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Methanomicrobiales - classification
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Methanosarcinaceae - classification
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Polymerase Chain Reaction -
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Polymorphism, Single-Stranded Conformational -
- Find related publications in this database (Keywords)
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biogas
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maize silage
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methanogens
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microbial population analysis
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PCR-SSCP
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