Cargando…
Deep metagenome and metatranscriptome analyses of microbial communities affiliated with an industrial biogas fermenter, a cow rumen, and elephant feces reveal major differences in carbohydrate hydrolysis strategies
BACKGROUND: The diverse microbial communities in agricultural biogas fermenters are assumed to be well adapted for the anaerobic transformation of plant biomass to methane. Compared to natural systems, biogas reactors are limited in their hydrolytic potential. The reasons for this are not understood...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4897800/ https://www.ncbi.nlm.nih.gov/pubmed/27279900 http://dx.doi.org/10.1186/s13068-016-0534-x |
_version_ | 1782436237739556864 |
---|---|
author | Güllert, Simon Fischer, Martin A. Turaev, Dmitrij Noebauer, Britta Ilmberger, Nele Wemheuer, Bernd Alawi, Malik Rattei, Thomas Daniel, Rolf Schmitz, Ruth A. Grundhoff, Adam Streit, Wolfgang R. |
author_facet | Güllert, Simon Fischer, Martin A. Turaev, Dmitrij Noebauer, Britta Ilmberger, Nele Wemheuer, Bernd Alawi, Malik Rattei, Thomas Daniel, Rolf Schmitz, Ruth A. Grundhoff, Adam Streit, Wolfgang R. |
author_sort | Güllert, Simon |
collection | PubMed |
description | BACKGROUND: The diverse microbial communities in agricultural biogas fermenters are assumed to be well adapted for the anaerobic transformation of plant biomass to methane. Compared to natural systems, biogas reactors are limited in their hydrolytic potential. The reasons for this are not understood. RESULTS: In this paper, we show that a typical industrial biogas reactor fed with maize silage, cow manure, and chicken manure has relatively lower hydrolysis rates compared to feces samples from herbivores. We provide evidence that on average, 2.5 genes encoding cellulolytic GHs/Mbp were identified in the biogas fermenter compared to 3.8 in the elephant feces and 3.2 in the cow rumen data sets. The ratio of genes coding for cellulolytic GH enzymes affiliated with the Firmicutes versus the Bacteroidetes was 2.8:1 in the biogas fermenter compared to 1:1 in the elephant feces and 1.4:1 in the cow rumen sample. Furthermore, RNA-Seq data indicated that highly transcribed cellulases in the biogas fermenter were four times more often affiliated with the Firmicutes compared to the Bacteroidetes, while an equal distribution of these enzymes was observed in the elephant feces sample. CONCLUSIONS: Our data indicate that a relatively lower abundance of bacteria affiliated with the phylum of Bacteroidetes and, to some extent, Fibrobacteres is associated with a decreased richness of predicted lignocellulolytic enzymes in biogas fermenters. This difference can be attributed to a partial lack of genes coding for cellulolytic GH enzymes derived from bacteria which are affiliated with the Fibrobacteres and, especially, the Bacteroidetes. The partial deficiency of these genes implies a potentially important limitation in the biogas fermenter with regard to the initial hydrolysis of biomass. Based on these findings, we speculate that increasing the members of Bacteroidetes and Fibrobacteres in biogas fermenters will most likely result in an increased hydrolytic performance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13068-016-0534-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4897800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48978002016-06-09 Deep metagenome and metatranscriptome analyses of microbial communities affiliated with an industrial biogas fermenter, a cow rumen, and elephant feces reveal major differences in carbohydrate hydrolysis strategies Güllert, Simon Fischer, Martin A. Turaev, Dmitrij Noebauer, Britta Ilmberger, Nele Wemheuer, Bernd Alawi, Malik Rattei, Thomas Daniel, Rolf Schmitz, Ruth A. Grundhoff, Adam Streit, Wolfgang R. Biotechnol Biofuels Research BACKGROUND: The diverse microbial communities in agricultural biogas fermenters are assumed to be well adapted for the anaerobic transformation of plant biomass to methane. Compared to natural systems, biogas reactors are limited in their hydrolytic potential. The reasons for this are not understood. RESULTS: In this paper, we show that a typical industrial biogas reactor fed with maize silage, cow manure, and chicken manure has relatively lower hydrolysis rates compared to feces samples from herbivores. We provide evidence that on average, 2.5 genes encoding cellulolytic GHs/Mbp were identified in the biogas fermenter compared to 3.8 in the elephant feces and 3.2 in the cow rumen data sets. The ratio of genes coding for cellulolytic GH enzymes affiliated with the Firmicutes versus the Bacteroidetes was 2.8:1 in the biogas fermenter compared to 1:1 in the elephant feces and 1.4:1 in the cow rumen sample. Furthermore, RNA-Seq data indicated that highly transcribed cellulases in the biogas fermenter were four times more often affiliated with the Firmicutes compared to the Bacteroidetes, while an equal distribution of these enzymes was observed in the elephant feces sample. CONCLUSIONS: Our data indicate that a relatively lower abundance of bacteria affiliated with the phylum of Bacteroidetes and, to some extent, Fibrobacteres is associated with a decreased richness of predicted lignocellulolytic enzymes in biogas fermenters. This difference can be attributed to a partial lack of genes coding for cellulolytic GH enzymes derived from bacteria which are affiliated with the Fibrobacteres and, especially, the Bacteroidetes. The partial deficiency of these genes implies a potentially important limitation in the biogas fermenter with regard to the initial hydrolysis of biomass. Based on these findings, we speculate that increasing the members of Bacteroidetes and Fibrobacteres in biogas fermenters will most likely result in an increased hydrolytic performance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13068-016-0534-x) contains supplementary material, which is available to authorized users. BioMed Central 2016-06-07 /pmc/articles/PMC4897800/ /pubmed/27279900 http://dx.doi.org/10.1186/s13068-016-0534-x Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 | Research Güllert, Simon Fischer, Martin A. Turaev, Dmitrij Noebauer, Britta Ilmberger, Nele Wemheuer, Bernd Alawi, Malik Rattei, Thomas Daniel, Rolf Schmitz, Ruth A. Grundhoff, Adam Streit, Wolfgang R. Deep metagenome and metatranscriptome analyses of microbial communities affiliated with an industrial biogas fermenter, a cow rumen, and elephant feces reveal major differences in carbohydrate hydrolysis strategies |
title | Deep metagenome and metatranscriptome analyses of microbial communities affiliated with an industrial biogas fermenter, a cow rumen, and elephant feces reveal major differences in carbohydrate hydrolysis strategies |
title_full | Deep metagenome and metatranscriptome analyses of microbial communities affiliated with an industrial biogas fermenter, a cow rumen, and elephant feces reveal major differences in carbohydrate hydrolysis strategies |
title_fullStr | Deep metagenome and metatranscriptome analyses of microbial communities affiliated with an industrial biogas fermenter, a cow rumen, and elephant feces reveal major differences in carbohydrate hydrolysis strategies |
title_full_unstemmed | Deep metagenome and metatranscriptome analyses of microbial communities affiliated with an industrial biogas fermenter, a cow rumen, and elephant feces reveal major differences in carbohydrate hydrolysis strategies |
title_short | Deep metagenome and metatranscriptome analyses of microbial communities affiliated with an industrial biogas fermenter, a cow rumen, and elephant feces reveal major differences in carbohydrate hydrolysis strategies |
title_sort | deep metagenome and metatranscriptome analyses of microbial communities affiliated with an industrial biogas fermenter, a cow rumen, and elephant feces reveal major differences in carbohydrate hydrolysis strategies |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4897800/ https://www.ncbi.nlm.nih.gov/pubmed/27279900 http://dx.doi.org/10.1186/s13068-016-0534-x |
work_keys_str_mv | AT gullertsimon deepmetagenomeandmetatranscriptomeanalysesofmicrobialcommunitiesaffiliatedwithanindustrialbiogasfermenteracowrumenandelephantfecesrevealmajordifferencesincarbohydratehydrolysisstrategies AT fischermartina deepmetagenomeandmetatranscriptomeanalysesofmicrobialcommunitiesaffiliatedwithanindustrialbiogasfermenteracowrumenandelephantfecesrevealmajordifferencesincarbohydratehydrolysisstrategies AT turaevdmitrij deepmetagenomeandmetatranscriptomeanalysesofmicrobialcommunitiesaffiliatedwithanindustrialbiogasfermenteracowrumenandelephantfecesrevealmajordifferencesincarbohydratehydrolysisstrategies AT noebauerbritta deepmetagenomeandmetatranscriptomeanalysesofmicrobialcommunitiesaffiliatedwithanindustrialbiogasfermenteracowrumenandelephantfecesrevealmajordifferencesincarbohydratehydrolysisstrategies AT ilmbergernele deepmetagenomeandmetatranscriptomeanalysesofmicrobialcommunitiesaffiliatedwithanindustrialbiogasfermenteracowrumenandelephantfecesrevealmajordifferencesincarbohydratehydrolysisstrategies AT wemheuerbernd deepmetagenomeandmetatranscriptomeanalysesofmicrobialcommunitiesaffiliatedwithanindustrialbiogasfermenteracowrumenandelephantfecesrevealmajordifferencesincarbohydratehydrolysisstrategies AT alawimalik deepmetagenomeandmetatranscriptomeanalysesofmicrobialcommunitiesaffiliatedwithanindustrialbiogasfermenteracowrumenandelephantfecesrevealmajordifferencesincarbohydratehydrolysisstrategies AT ratteithomas deepmetagenomeandmetatranscriptomeanalysesofmicrobialcommunitiesaffiliatedwithanindustrialbiogasfermenteracowrumenandelephantfecesrevealmajordifferencesincarbohydratehydrolysisstrategies AT danielrolf deepmetagenomeandmetatranscriptomeanalysesofmicrobialcommunitiesaffiliatedwithanindustrialbiogasfermenteracowrumenandelephantfecesrevealmajordifferencesincarbohydratehydrolysisstrategies AT schmitzrutha deepmetagenomeandmetatranscriptomeanalysesofmicrobialcommunitiesaffiliatedwithanindustrialbiogasfermenteracowrumenandelephantfecesrevealmajordifferencesincarbohydratehydrolysisstrategies AT grundhoffadam deepmetagenomeandmetatranscriptomeanalysesofmicrobialcommunitiesaffiliatedwithanindustrialbiogasfermenteracowrumenandelephantfecesrevealmajordifferencesincarbohydratehydrolysisstrategies AT streitwolfgangr deepmetagenomeandmetatranscriptomeanalysesofmicrobialcommunitiesaffiliatedwithanindustrialbiogasfermenteracowrumenandelephantfecesrevealmajordifferencesincarbohydratehydrolysisstrategies |