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Comparing microbial community compositions of biogas and sewage treatment plants by analyzing 16S rRNA gene data

This article contains data of bacterial and archaeal community compositions and process parameters of 16 biogas (BPs) and ten sewage treatment plants (STPs). Nucleic acids of BPs were extracted using a CTAB-based method while a phenol-chloroform-based method was applied for STPs. Amplicon sequencing...

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Detalles Bibliográficos
Autores principales: Buettner, Christian, Noll, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6197571/
https://www.ncbi.nlm.nih.gov/pubmed/30364597
http://dx.doi.org/10.1016/j.dib.2018.09.118
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author Buettner, Christian
Noll, Matthias
author_facet Buettner, Christian
Noll, Matthias
author_sort Buettner, Christian
collection PubMed
description This article contains data of bacterial and archaeal community compositions and process parameters of 16 biogas (BPs) and ten sewage treatment plants (STPs). Nucleic acids of BPs were extracted using a CTAB-based method while a phenol-chloroform-based method was applied for STPs. Amplicon sequencing data of the 16S rRNA gene was achieved by MiSeq-technology. Raw data were processed and statistically analyzed by several approaches including network analyses by using molecular ecological network analysis (MENA). Nodes of each network (BPs and STPs) were classified as generalists and peripherals to identify key players for a stable biogas production. Network parameters as well as interaction of generalistic species were compared between both plant types.
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spelling pubmed-61975712018-10-24 Comparing microbial community compositions of biogas and sewage treatment plants by analyzing 16S rRNA gene data Buettner, Christian Noll, Matthias Data Brief Economics, Econometrics and Finance This article contains data of bacterial and archaeal community compositions and process parameters of 16 biogas (BPs) and ten sewage treatment plants (STPs). Nucleic acids of BPs were extracted using a CTAB-based method while a phenol-chloroform-based method was applied for STPs. Amplicon sequencing data of the 16S rRNA gene was achieved by MiSeq-technology. Raw data were processed and statistically analyzed by several approaches including network analyses by using molecular ecological network analysis (MENA). Nodes of each network (BPs and STPs) were classified as generalists and peripherals to identify key players for a stable biogas production. Network parameters as well as interaction of generalistic species were compared between both plant types. Elsevier 2018-10-04 /pmc/articles/PMC6197571/ /pubmed/30364597 http://dx.doi.org/10.1016/j.dib.2018.09.118 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Economics, Econometrics and Finance
Buettner, Christian
Noll, Matthias
Comparing microbial community compositions of biogas and sewage treatment plants by analyzing 16S rRNA gene data
title Comparing microbial community compositions of biogas and sewage treatment plants by analyzing 16S rRNA gene data
title_full Comparing microbial community compositions of biogas and sewage treatment plants by analyzing 16S rRNA gene data
title_fullStr Comparing microbial community compositions of biogas and sewage treatment plants by analyzing 16S rRNA gene data
title_full_unstemmed Comparing microbial community compositions of biogas and sewage treatment plants by analyzing 16S rRNA gene data
title_short Comparing microbial community compositions of biogas and sewage treatment plants by analyzing 16S rRNA gene data
title_sort comparing microbial community compositions of biogas and sewage treatment plants by analyzing 16s rrna gene data
topic Economics, Econometrics and Finance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6197571/
https://www.ncbi.nlm.nih.gov/pubmed/30364597
http://dx.doi.org/10.1016/j.dib.2018.09.118
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