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Phage Genome Diversity in a Biogas-Producing Microbiome Analyzed by Illumina and Nanopore GridION Sequencing

The microbial biogas network is complex and intertwined, and therefore relatively stable in its overall functionality. However, if key functional groups of microorganisms are affected by biotic or abiotic factors, the entire efficacy may be impaired. Bacteriophages are hypothesized to alter the stee...

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Autores principales: Willenbücher, Katharina, Wibberg, Daniel, Huang, Liren, Conrady, Marius, Ramm, Patrice, Gätcke, Julia, Busche, Tobias, Brandt, Christian, Szewzyk, Ulrich, Schlüter, Andreas, Barrero Canosa, Jimena, Maus, Irena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879888/
https://www.ncbi.nlm.nih.gov/pubmed/35208823
http://dx.doi.org/10.3390/microorganisms10020368
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author Willenbücher, Katharina
Wibberg, Daniel
Huang, Liren
Conrady, Marius
Ramm, Patrice
Gätcke, Julia
Busche, Tobias
Brandt, Christian
Szewzyk, Ulrich
Schlüter, Andreas
Barrero Canosa, Jimena
Maus, Irena
author_facet Willenbücher, Katharina
Wibberg, Daniel
Huang, Liren
Conrady, Marius
Ramm, Patrice
Gätcke, Julia
Busche, Tobias
Brandt, Christian
Szewzyk, Ulrich
Schlüter, Andreas
Barrero Canosa, Jimena
Maus, Irena
author_sort Willenbücher, Katharina
collection PubMed
description The microbial biogas network is complex and intertwined, and therefore relatively stable in its overall functionality. However, if key functional groups of microorganisms are affected by biotic or abiotic factors, the entire efficacy may be impaired. Bacteriophages are hypothesized to alter the steering process of the microbial network. In this study, an enriched fraction of virus-like particles was extracted from a mesophilic biogas reactor and sequenced on the Illumina MiSeq and Nanopore GridION sequencing platforms. Metagenome data analysis resulted in identifying 375 metagenome-assembled viral genomes (MAVGs). Two-thirds of the classified sequences were only assigned to the superkingdom Viruses and the remaining third to the family Siphoviridae, followed by Myoviridae, Podoviridae, Tectiviridae, and Inoviridae. The metavirome showed a close relationship to the phage genomes that infect members of the classes Clostridia and Bacilli. Using publicly available biogas metagenomic data, a fragment recruitment approach showed the widespread distribution of the MAVGs studied in other biogas microbiomes. In particular, phage sequences from mesophilic microbiomes were highly similar to the phage sequences of this study. Accordingly, the virus particle enrichment approach and metavirome sequencing provided additional genome sequence information for novel virome members, thus expanding the current knowledge of viral genetic diversity in biogas reactors.
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spelling pubmed-88798882022-02-26 Phage Genome Diversity in a Biogas-Producing Microbiome Analyzed by Illumina and Nanopore GridION Sequencing Willenbücher, Katharina Wibberg, Daniel Huang, Liren Conrady, Marius Ramm, Patrice Gätcke, Julia Busche, Tobias Brandt, Christian Szewzyk, Ulrich Schlüter, Andreas Barrero Canosa, Jimena Maus, Irena Microorganisms Article The microbial biogas network is complex and intertwined, and therefore relatively stable in its overall functionality. However, if key functional groups of microorganisms are affected by biotic or abiotic factors, the entire efficacy may be impaired. Bacteriophages are hypothesized to alter the steering process of the microbial network. In this study, an enriched fraction of virus-like particles was extracted from a mesophilic biogas reactor and sequenced on the Illumina MiSeq and Nanopore GridION sequencing platforms. Metagenome data analysis resulted in identifying 375 metagenome-assembled viral genomes (MAVGs). Two-thirds of the classified sequences were only assigned to the superkingdom Viruses and the remaining third to the family Siphoviridae, followed by Myoviridae, Podoviridae, Tectiviridae, and Inoviridae. The metavirome showed a close relationship to the phage genomes that infect members of the classes Clostridia and Bacilli. Using publicly available biogas metagenomic data, a fragment recruitment approach showed the widespread distribution of the MAVGs studied in other biogas microbiomes. In particular, phage sequences from mesophilic microbiomes were highly similar to the phage sequences of this study. Accordingly, the virus particle enrichment approach and metavirome sequencing provided additional genome sequence information for novel virome members, thus expanding the current knowledge of viral genetic diversity in biogas reactors. MDPI 2022-02-04 /pmc/articles/PMC8879888/ /pubmed/35208823 http://dx.doi.org/10.3390/microorganisms10020368 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Willenbücher, Katharina
Wibberg, Daniel
Huang, Liren
Conrady, Marius
Ramm, Patrice
Gätcke, Julia
Busche, Tobias
Brandt, Christian
Szewzyk, Ulrich
Schlüter, Andreas
Barrero Canosa, Jimena
Maus, Irena
Phage Genome Diversity in a Biogas-Producing Microbiome Analyzed by Illumina and Nanopore GridION Sequencing
title Phage Genome Diversity in a Biogas-Producing Microbiome Analyzed by Illumina and Nanopore GridION Sequencing
title_full Phage Genome Diversity in a Biogas-Producing Microbiome Analyzed by Illumina and Nanopore GridION Sequencing
title_fullStr Phage Genome Diversity in a Biogas-Producing Microbiome Analyzed by Illumina and Nanopore GridION Sequencing
title_full_unstemmed Phage Genome Diversity in a Biogas-Producing Microbiome Analyzed by Illumina and Nanopore GridION Sequencing
title_short Phage Genome Diversity in a Biogas-Producing Microbiome Analyzed by Illumina and Nanopore GridION Sequencing
title_sort phage genome diversity in a biogas-producing microbiome analyzed by illumina and nanopore gridion sequencing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879888/
https://www.ncbi.nlm.nih.gov/pubmed/35208823
http://dx.doi.org/10.3390/microorganisms10020368
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