Investigation of Microbial Diversity in Geothermal Hot Springs in Unkeshwar, India, Based on 16S rRNA Amplicon Metagenome Sequencing

Microbial diversity in geothermal waters of the Unkeshwar hot springs in Maharashtra, India, was studied using 16S rRNA amplicon metagenomic sequencing. Taxonomic analysis revealed the presence of Bacteroidetes, Proteobacteria, Cyanobacteria, Actinobacteria, Archeae, and OD1 phyla. Metabolic functio...

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Autores principales: Mehetre, Gajanan T., Paranjpe, Aditi, Dastager, Syed G., Dharne, Mahesh S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2016
Materias:
Prokaryotes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4767922/
https://www.ncbi.nlm.nih.gov/pubmed/26950332
http://dx.doi.org/10.1128/genomeA.01766-15
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author Mehetre, Gajanan T.
Paranjpe, Aditi
Dastager, Syed G.
Dharne, Mahesh S.
author_facet Mehetre, Gajanan T.
Paranjpe, Aditi
Dastager, Syed G.
Dharne, Mahesh S.
author_sort Mehetre, Gajanan T.
collection PubMed
description Microbial diversity in geothermal waters of the Unkeshwar hot springs in Maharashtra, India, was studied using 16S rRNA amplicon metagenomic sequencing. Taxonomic analysis revealed the presence of Bacteroidetes, Proteobacteria, Cyanobacteria, Actinobacteria, Archeae, and OD1 phyla. Metabolic function prediction analysis indicated a battery of biological information systems indicating rich and novel microbial diversity, with potential biotechnological applications in this niche.
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spelling pubmed-47679222016-02-26 Investigation of Microbial Diversity in Geothermal Hot Springs in Unkeshwar, India, Based on 16S rRNA Amplicon Metagenome Sequencing Mehetre, Gajanan T. Paranjpe, Aditi Dastager, Syed G. Dharne, Mahesh S. Genome Announc Prokaryotes Microbial diversity in geothermal waters of the Unkeshwar hot springs in Maharashtra, India, was studied using 16S rRNA amplicon metagenomic sequencing. Taxonomic analysis revealed the presence of Bacteroidetes, Proteobacteria, Cyanobacteria, Actinobacteria, Archeae, and OD1 phyla. Metabolic function prediction analysis indicated a battery of biological information systems indicating rich and novel microbial diversity, with potential biotechnological applications in this niche. American Society for Microbiology 2016-02-25 /pmc/articles/PMC4767922/ /pubmed/26950332 http://dx.doi.org/10.1128/genomeA.01766-15 Text en Copyright © 2016 Mehetre et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Prokaryotes
Mehetre, Gajanan T.
Paranjpe, Aditi
Dastager, Syed G.
Dharne, Mahesh S.
Investigation of Microbial Diversity in Geothermal Hot Springs in Unkeshwar, India, Based on 16S rRNA Amplicon Metagenome Sequencing
title Investigation of Microbial Diversity in Geothermal Hot Springs in Unkeshwar, India, Based on 16S rRNA Amplicon Metagenome Sequencing
title_full Investigation of Microbial Diversity in Geothermal Hot Springs in Unkeshwar, India, Based on 16S rRNA Amplicon Metagenome Sequencing
title_fullStr Investigation of Microbial Diversity in Geothermal Hot Springs in Unkeshwar, India, Based on 16S rRNA Amplicon Metagenome Sequencing
title_full_unstemmed Investigation of Microbial Diversity in Geothermal Hot Springs in Unkeshwar, India, Based on 16S rRNA Amplicon Metagenome Sequencing
title_short Investigation of Microbial Diversity in Geothermal Hot Springs in Unkeshwar, India, Based on 16S rRNA Amplicon Metagenome Sequencing
title_sort investigation of microbial diversity in geothermal hot springs in unkeshwar, india, based on 16s rrna amplicon metagenome sequencing
topic Prokaryotes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4767922/
https://www.ncbi.nlm.nih.gov/pubmed/26950332
http://dx.doi.org/10.1128/genomeA.01766-15
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