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Deciphering the microbiota of Tuwa hot spring, India using shotgun metagenomic sequencing approach
Here, we report metagenome from the Tuwa hot spring, India using shotgun sequencing approach. Metagenome consisted of 541,379 sequences with 98.7 Mbps size with 46% G + C content. Metagenomic sequence reads were deposited into the EMBL database under accession number ERP009321. Community analysis pr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535658/ https://www.ncbi.nlm.nih.gov/pubmed/26484204 http://dx.doi.org/10.1016/j.gdata.2015.04.014 |
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author | Mangrola, Amitsinh Dudhagara, Pravin Koringa, Prakash Joshi, C.G. Parmar, Mansi Patel, Rajesh |
author_facet | Mangrola, Amitsinh Dudhagara, Pravin Koringa, Prakash Joshi, C.G. Parmar, Mansi Patel, Rajesh |
author_sort | Mangrola, Amitsinh |
collection | PubMed |
description | Here, we report metagenome from the Tuwa hot spring, India using shotgun sequencing approach. Metagenome consisted of 541,379 sequences with 98.7 Mbps size with 46% G + C content. Metagenomic sequence reads were deposited into the EMBL database under accession number ERP009321. Community analysis presented 99.1% sequences belong to bacteria, 0.3% of eukaryotic origin, 0.2% virus derived and 0.05% from archea. Unclassified and unidentified sequences were 0.4% and 0.07% respectively. A total of 22 bacterial phyla include 90 families and 201 species were observed in the hot spring metagenome. Firmicutes (97.0%), Proteobacteria (1.3%) and Actinobacteria (0.4%) were reported as dominant bacterial phyla. In functional analysis using Cluster of Orthologous Group (COG), 21.5% drops in the poorly characterized group. Using subsystem based annotation, 4.0% genes were assigned for stress responses and 3% genes were fit into the metabolism of aromatic compounds. The hot spring metagenome is very rich with novel sequences affiliated to unclassified and unidentified lineages, suggesting the potential source for novel microbial species and their products. |
format | Online Article Text |
id | pubmed-4535658 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-45356582015-10-19 Deciphering the microbiota of Tuwa hot spring, India using shotgun metagenomic sequencing approach Mangrola, Amitsinh Dudhagara, Pravin Koringa, Prakash Joshi, C.G. Parmar, Mansi Patel, Rajesh Genom Data Data in Brief Here, we report metagenome from the Tuwa hot spring, India using shotgun sequencing approach. Metagenome consisted of 541,379 sequences with 98.7 Mbps size with 46% G + C content. Metagenomic sequence reads were deposited into the EMBL database under accession number ERP009321. Community analysis presented 99.1% sequences belong to bacteria, 0.3% of eukaryotic origin, 0.2% virus derived and 0.05% from archea. Unclassified and unidentified sequences were 0.4% and 0.07% respectively. A total of 22 bacterial phyla include 90 families and 201 species were observed in the hot spring metagenome. Firmicutes (97.0%), Proteobacteria (1.3%) and Actinobacteria (0.4%) were reported as dominant bacterial phyla. In functional analysis using Cluster of Orthologous Group (COG), 21.5% drops in the poorly characterized group. Using subsystem based annotation, 4.0% genes were assigned for stress responses and 3% genes were fit into the metabolism of aromatic compounds. The hot spring metagenome is very rich with novel sequences affiliated to unclassified and unidentified lineages, suggesting the potential source for novel microbial species and their products. Elsevier 2015-04-20 /pmc/articles/PMC4535658/ /pubmed/26484204 http://dx.doi.org/10.1016/j.gdata.2015.04.014 Text en © 2015 The Authors 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 Mangrola, Amitsinh Dudhagara, Pravin Koringa, Prakash Joshi, C.G. Parmar, Mansi Patel, Rajesh Deciphering the microbiota of Tuwa hot spring, India using shotgun metagenomic sequencing approach |
title | Deciphering the microbiota of Tuwa hot spring, India using shotgun metagenomic sequencing approach |
title_full | Deciphering the microbiota of Tuwa hot spring, India using shotgun metagenomic sequencing approach |
title_fullStr | Deciphering the microbiota of Tuwa hot spring, India using shotgun metagenomic sequencing approach |
title_full_unstemmed | Deciphering the microbiota of Tuwa hot spring, India using shotgun metagenomic sequencing approach |
title_short | Deciphering the microbiota of Tuwa hot spring, India using shotgun metagenomic sequencing approach |
title_sort | deciphering the microbiota of tuwa hot spring, india using shotgun metagenomic sequencing approach |
topic | Data in Brief |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535658/ https://www.ncbi.nlm.nih.gov/pubmed/26484204 http://dx.doi.org/10.1016/j.gdata.2015.04.014 |
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