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Characterization of a biogas-producing microbial community by short-read next generation DNA sequencing
BACKGROUND: Renewable energy production is currently a major issue worldwide. Biogas is a promising renewable energy carrier as the technology of its production combines the elimination of organic waste with the formation of a versatile energy carrier, methane. In consequence of the complexity of th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3395570/ https://www.ncbi.nlm.nih.gov/pubmed/22673110 http://dx.doi.org/10.1186/1754-6834-5-41 |
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author | Wirth, Roland Kovács, Etelka Maróti, Gergely Bagi, Zoltán Rákhely, Gábor Kovács, Kornél L |
author_facet | Wirth, Roland Kovács, Etelka Maróti, Gergely Bagi, Zoltán Rákhely, Gábor Kovács, Kornél L |
author_sort | Wirth, Roland |
collection | PubMed |
description | BACKGROUND: Renewable energy production is currently a major issue worldwide. Biogas is a promising renewable energy carrier as the technology of its production combines the elimination of organic waste with the formation of a versatile energy carrier, methane. In consequence of the complexity of the microbial communities and metabolic pathways involved the biotechnology of the microbiological process leading to biogas production is poorly understood. Metagenomic approaches are suitable means of addressing related questions. In the present work a novel high-throughput technique was tested for its benefits in resolving the functional and taxonomical complexity of such microbial consortia. RESULTS: It was demonstrated that the extremely parallel SOLiD™ short-read DNA sequencing platform is capable of providing sufficient useful information to decipher the systematic and functional contexts within a biogas-producing community. Although this technology has not been employed to address such problems previously, the data obtained compare well with those from similar high-throughput approaches such as 454-pyrosequencing GS FLX or Titanium. The predominant microbes contributing to the decomposition of organic matter include members of the Eubacteria, class Clostridia, order Clostridiales, family Clostridiaceae. Bacteria belonging in other systematic groups contribute to the diversity of the microbial consortium. Archaea comprise a remarkably small minority in this community, given their crucial role in biogas production. Among the Archaea, the predominant order is the Methanomicrobiales and the most abundant species is Methanoculleus marisnigri. The Methanomicrobiales are hydrogenotrophic methanogens. Besides corroborating earlier findings on the significance of the contribution of the Clostridia to organic substrate decomposition, the results demonstrate the importance of the metabolism of hydrogen within the biogas producing microbial community. CONCLUSIONS: Both microbiological diversity and the regulatory role of the hydrogen metabolism appear to be the driving forces optimizing biogas-producing microbial communities. The findings may allow a rational design of these communities to promote greater efficacy in large-scale practical systems. The composition of an optimal biogas-producing consortium can be determined through the use of this approach, and this systematic methodology allows the design of the optimal microbial community structure for any biogas plant. In this way, metagenomic studies can contribute to significant progress in the efficacy and economic improvement of biogas production. |
format | Online Article Text |
id | pubmed-3395570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33955702012-07-13 Characterization of a biogas-producing microbial community by short-read next generation DNA sequencing Wirth, Roland Kovács, Etelka Maróti, Gergely Bagi, Zoltán Rákhely, Gábor Kovács, Kornél L Biotechnol Biofuels Research BACKGROUND: Renewable energy production is currently a major issue worldwide. Biogas is a promising renewable energy carrier as the technology of its production combines the elimination of organic waste with the formation of a versatile energy carrier, methane. In consequence of the complexity of the microbial communities and metabolic pathways involved the biotechnology of the microbiological process leading to biogas production is poorly understood. Metagenomic approaches are suitable means of addressing related questions. In the present work a novel high-throughput technique was tested for its benefits in resolving the functional and taxonomical complexity of such microbial consortia. RESULTS: It was demonstrated that the extremely parallel SOLiD™ short-read DNA sequencing platform is capable of providing sufficient useful information to decipher the systematic and functional contexts within a biogas-producing community. Although this technology has not been employed to address such problems previously, the data obtained compare well with those from similar high-throughput approaches such as 454-pyrosequencing GS FLX or Titanium. The predominant microbes contributing to the decomposition of organic matter include members of the Eubacteria, class Clostridia, order Clostridiales, family Clostridiaceae. Bacteria belonging in other systematic groups contribute to the diversity of the microbial consortium. Archaea comprise a remarkably small minority in this community, given their crucial role in biogas production. Among the Archaea, the predominant order is the Methanomicrobiales and the most abundant species is Methanoculleus marisnigri. The Methanomicrobiales are hydrogenotrophic methanogens. Besides corroborating earlier findings on the significance of the contribution of the Clostridia to organic substrate decomposition, the results demonstrate the importance of the metabolism of hydrogen within the biogas producing microbial community. CONCLUSIONS: Both microbiological diversity and the regulatory role of the hydrogen metabolism appear to be the driving forces optimizing biogas-producing microbial communities. The findings may allow a rational design of these communities to promote greater efficacy in large-scale practical systems. The composition of an optimal biogas-producing consortium can be determined through the use of this approach, and this systematic methodology allows the design of the optimal microbial community structure for any biogas plant. In this way, metagenomic studies can contribute to significant progress in the efficacy and economic improvement of biogas production. BioMed Central 2012-07-12 /pmc/articles/PMC3395570/ /pubmed/22673110 http://dx.doi.org/10.1186/1754-6834-5-41 Text en Copyright ©2012 Wirth et al.; licensee BioMed Central Ltd. http:// http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http:// http://creativecommons.org/licenses/by/2.0 (http://http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Wirth, Roland Kovács, Etelka Maróti, Gergely Bagi, Zoltán Rákhely, Gábor Kovács, Kornél L Characterization of a biogas-producing microbial community by short-read next generation DNA sequencing |
title | Characterization of a biogas-producing microbial community by short-read next generation DNA sequencing |
title_full | Characterization of a biogas-producing microbial community by short-read next generation DNA sequencing |
title_fullStr | Characterization of a biogas-producing microbial community by short-read next generation DNA sequencing |
title_full_unstemmed | Characterization of a biogas-producing microbial community by short-read next generation DNA sequencing |
title_short | Characterization of a biogas-producing microbial community by short-read next generation DNA sequencing |
title_sort | characterization of a biogas-producing microbial community by short-read next generation dna sequencing |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3395570/ https://www.ncbi.nlm.nih.gov/pubmed/22673110 http://dx.doi.org/10.1186/1754-6834-5-41 |
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