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Structural insights of microbial community of Deulajhari (India) hot spring using 16s-rRNA based metagenomic sequencing

Insights about the distribution of the microbial community prove to be the major goal of understanding microbial ecology which remains to be fully deciphered. Hot springs being hub for the thermophilic microbiota attract the attention of the microbiologists. Deulajhari hot spring cluster is located...

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Autores principales: Singh, Archana, Subudhi, Enketeswara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778618/
https://www.ncbi.nlm.nih.gov/pubmed/26981376
http://dx.doi.org/10.1016/j.gdata.2015.12.004
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author Singh, Archana
Subudhi, Enketeswara
author_facet Singh, Archana
Subudhi, Enketeswara
author_sort Singh, Archana
collection PubMed
description Insights about the distribution of the microbial community prove to be the major goal of understanding microbial ecology which remains to be fully deciphered. Hot springs being hub for the thermophilic microbiota attract the attention of the microbiologists. Deulajhari hot spring cluster is located in the Angul district of Odisha. Covered within a wooded area, Deulajhari hot spring is also fed by the plant litter resulting in a relatively high amount of total organic content (TOC). For the first time, Illumina sequencing based biodiversity analysis of microbial composition is studied through amplicon metagenome sequencing of 16s rRNA targeting V3‐V4 region using metagenomic DNA from the hot spring sediment. Over 28 phyla were detected through the amplicon metagenome sequencing of which the most dominating phyla at the existing physiochemical parameters like; temperature 69 °C, pH 8.09, electroconductivity 0.025 dSm(− 1) and total organic carbon 0.356%, were Proteobacteria (88.12%), Bacteriodetes (10.76%), Firmicutes (0.35%), Spirochetes (0.18%) and chloroflexi (0.11%). Approximately 713 species were observed at the above physiochemical parameters. The analysis of the metagenome provides the quantitative insights into microbial populations based on the sequence data in Deulajhari hot spring. Metagenome sequence is deposited to SRA database which is available at NCBI with accession no. SRX1459736.
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spelling pubmed-47786182016-03-15 Structural insights of microbial community of Deulajhari (India) hot spring using 16s-rRNA based metagenomic sequencing Singh, Archana Subudhi, Enketeswara Genom Data Data in Brief Insights about the distribution of the microbial community prove to be the major goal of understanding microbial ecology which remains to be fully deciphered. Hot springs being hub for the thermophilic microbiota attract the attention of the microbiologists. Deulajhari hot spring cluster is located in the Angul district of Odisha. Covered within a wooded area, Deulajhari hot spring is also fed by the plant litter resulting in a relatively high amount of total organic content (TOC). For the first time, Illumina sequencing based biodiversity analysis of microbial composition is studied through amplicon metagenome sequencing of 16s rRNA targeting V3‐V4 region using metagenomic DNA from the hot spring sediment. Over 28 phyla were detected through the amplicon metagenome sequencing of which the most dominating phyla at the existing physiochemical parameters like; temperature 69 °C, pH 8.09, electroconductivity 0.025 dSm(− 1) and total organic carbon 0.356%, were Proteobacteria (88.12%), Bacteriodetes (10.76%), Firmicutes (0.35%), Spirochetes (0.18%) and chloroflexi (0.11%). Approximately 713 species were observed at the above physiochemical parameters. The analysis of the metagenome provides the quantitative insights into microbial populations based on the sequence data in Deulajhari hot spring. Metagenome sequence is deposited to SRA database which is available at NCBI with accession no. SRX1459736. Elsevier 2015-12-18 /pmc/articles/PMC4778618/ /pubmed/26981376 http://dx.doi.org/10.1016/j.gdata.2015.12.004 Text en © 2015 The Authors. Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data in Brief
Singh, Archana
Subudhi, Enketeswara
Structural insights of microbial community of Deulajhari (India) hot spring using 16s-rRNA based metagenomic sequencing
title Structural insights of microbial community of Deulajhari (India) hot spring using 16s-rRNA based metagenomic sequencing
title_full Structural insights of microbial community of Deulajhari (India) hot spring using 16s-rRNA based metagenomic sequencing
title_fullStr Structural insights of microbial community of Deulajhari (India) hot spring using 16s-rRNA based metagenomic sequencing
title_full_unstemmed Structural insights of microbial community of Deulajhari (India) hot spring using 16s-rRNA based metagenomic sequencing
title_short Structural insights of microbial community of Deulajhari (India) hot spring using 16s-rRNA based metagenomic sequencing
title_sort structural insights of microbial community of deulajhari (india) hot spring using 16s-rrna based metagenomic sequencing
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778618/
https://www.ncbi.nlm.nih.gov/pubmed/26981376
http://dx.doi.org/10.1016/j.gdata.2015.12.004
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