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Deeply sequenced metagenome and metatranscriptome of a biogas-producing microbial community from an agricultural production-scale biogas plant
BACKGROUND: The production of biogas takes place under anaerobic conditions and involves microbial decomposition of organic matter. Most of the participating microbes are still unknown and non-cultivable. Accordingly, shotgun metagenome sequencing currently is the method of choice to obtain insights...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4520284/ https://www.ncbi.nlm.nih.gov/pubmed/26229594 http://dx.doi.org/10.1186/s13742-015-0073-6 |
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author | Bremges, Andreas Maus, Irena Belmann, Peter Eikmeyer, Felix Winkler, Anika Albersmeier, Andreas Pühler, Alfred Schlüter, Andreas Sczyrba, Alexander |
author_facet | Bremges, Andreas Maus, Irena Belmann, Peter Eikmeyer, Felix Winkler, Anika Albersmeier, Andreas Pühler, Alfred Schlüter, Andreas Sczyrba, Alexander |
author_sort | Bremges, Andreas |
collection | PubMed |
description | BACKGROUND: The production of biogas takes place under anaerobic conditions and involves microbial decomposition of organic matter. Most of the participating microbes are still unknown and non-cultivable. Accordingly, shotgun metagenome sequencing currently is the method of choice to obtain insights into community composition and the genetic repertoire. FINDINGS: Here, we report on the deeply sequenced metagenome and metatranscriptome of a complex biogas-producing microbial community from an agricultural production-scale biogas plant. We assembled the metagenome and, as an example application, show that we reconstructed most genes involved in the methane metabolism, a key pathway involving methanogenesis performed by methanogenic Archaea. This result indicates that there is sufficient sequencing coverage for most downstream analyses. CONCLUSIONS: Sequenced at least one order of magnitude deeper than previous studies, our metagenome data will enable new insights into community composition and the genetic potential of important community members. Moreover, mapping of transcripts to reconstructed genome sequences will enable the identification of active metabolic pathways in target organisms. |
format | Online Article Text |
id | pubmed-4520284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45202842015-07-31 Deeply sequenced metagenome and metatranscriptome of a biogas-producing microbial community from an agricultural production-scale biogas plant Bremges, Andreas Maus, Irena Belmann, Peter Eikmeyer, Felix Winkler, Anika Albersmeier, Andreas Pühler, Alfred Schlüter, Andreas Sczyrba, Alexander Gigascience Data Note BACKGROUND: The production of biogas takes place under anaerobic conditions and involves microbial decomposition of organic matter. Most of the participating microbes are still unknown and non-cultivable. Accordingly, shotgun metagenome sequencing currently is the method of choice to obtain insights into community composition and the genetic repertoire. FINDINGS: Here, we report on the deeply sequenced metagenome and metatranscriptome of a complex biogas-producing microbial community from an agricultural production-scale biogas plant. We assembled the metagenome and, as an example application, show that we reconstructed most genes involved in the methane metabolism, a key pathway involving methanogenesis performed by methanogenic Archaea. This result indicates that there is sufficient sequencing coverage for most downstream analyses. CONCLUSIONS: Sequenced at least one order of magnitude deeper than previous studies, our metagenome data will enable new insights into community composition and the genetic potential of important community members. Moreover, mapping of transcripts to reconstructed genome sequences will enable the identification of active metabolic pathways in target organisms. BioMed Central 2015-07-30 /pmc/articles/PMC4520284/ /pubmed/26229594 http://dx.doi.org/10.1186/s13742-015-0073-6 Text en © Bremges et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Data Note Bremges, Andreas Maus, Irena Belmann, Peter Eikmeyer, Felix Winkler, Anika Albersmeier, Andreas Pühler, Alfred Schlüter, Andreas Sczyrba, Alexander Deeply sequenced metagenome and metatranscriptome of a biogas-producing microbial community from an agricultural production-scale biogas plant |
title | Deeply sequenced metagenome and metatranscriptome of a biogas-producing microbial community from an agricultural production-scale biogas plant |
title_full | Deeply sequenced metagenome and metatranscriptome of a biogas-producing microbial community from an agricultural production-scale biogas plant |
title_fullStr | Deeply sequenced metagenome and metatranscriptome of a biogas-producing microbial community from an agricultural production-scale biogas plant |
title_full_unstemmed | Deeply sequenced metagenome and metatranscriptome of a biogas-producing microbial community from an agricultural production-scale biogas plant |
title_short | Deeply sequenced metagenome and metatranscriptome of a biogas-producing microbial community from an agricultural production-scale biogas plant |
title_sort | deeply sequenced metagenome and metatranscriptome of a biogas-producing microbial community from an agricultural production-scale biogas plant |
topic | Data Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4520284/ https://www.ncbi.nlm.nih.gov/pubmed/26229594 http://dx.doi.org/10.1186/s13742-015-0073-6 |
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