Title |
Comparative metagenomics of biogas-producing microbial communities from production-scale biogas plants operating under wet or dry fermentation conditions
|
---|---|
Published in |
Biotechnology for Biofuels and Bioproducts, February 2015
|
DOI | 10.1186/s13068-014-0193-8 |
Pubmed ID | |
Authors |
Yvonne Stolze, Martha Zakrzewski, Irena Maus, Felix Eikmeyer, Sebastian Jaenicke, Nils Rottmann, Clemens Siebner, Alfred Pühler, Andreas Schlüter |
Abstract |
Decomposition of biomass for biogas production can be practiced under wet and dry fermentation conditions. In contrast to the dry fermentation technology, wet fermentation is characterized by a high liquid content and a relatively low total solid content. In this study, the composition and functional potential of a biogas-producing microbial community in an agricultural biogas reactor operating under wet fermentation conditions was analyzed by a metagenomic approach applying 454-pyrosequencing. The obtained metagenomic dataset and corresponding 16S rRNA gene amplicon sequences were compared to the previously sequenced comparable metagenome from a dry fermentation process, meeting explicitly identical boundary conditions regarding sample and community DNA preparation, sequencing technology, processing of sequence reads and data analyses by bioinformatics tools. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | <1% |
Brazil | 2 | <1% |
Indonesia | 1 | <1% |
Egypt | 1 | <1% |
Denmark | 1 | <1% |
Estonia | 1 | <1% |
Unknown | 219 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 62 | 27% |
Researcher | 31 | 14% |
Student > Master | 20 | 9% |
Student > Bachelor | 19 | 8% |
Student > Doctoral Student | 15 | 7% |
Other | 38 | 17% |
Unknown | 42 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 59 | 26% |
Environmental Science | 33 | 15% |
Biochemistry, Genetics and Molecular Biology | 27 | 12% |
Engineering | 14 | 6% |
Chemical Engineering | 9 | 4% |
Other | 26 | 11% |
Unknown | 59 | 26% |