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Bioinformatics data supporting revelatory diversity of cultivable thermophiles isolated and identified from two terrestrial hot springs, Unkeshwar, India

A total of 21 thermophilic bacteria were isolated and identified using 16S rRNA gene sequencing method. Sequences were submitted to NCBI website. Short DNA sequences JN392966–JN392972; KC120909–KC120919; KM998072–KM998074 and KP053645 strains were downloaded from NCBI BioSample database. ENDMEMO GC...

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Detalles Bibliográficos
Autores principales: Rekadwad, Bhagwan N., Khobragade, Chandrahasya N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4857395/
https://www.ncbi.nlm.nih.gov/pubmed/27182549
http://dx.doi.org/10.1016/j.dib.2016.04.038
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author Rekadwad, Bhagwan N.
Khobragade, Chandrahasya N.
author_facet Rekadwad, Bhagwan N.
Khobragade, Chandrahasya N.
author_sort Rekadwad, Bhagwan N.
collection PubMed
description A total of 21 thermophilic bacteria were isolated and identified using 16S rRNA gene sequencing method. Sequences were submitted to NCBI website. Short DNA sequences JN392966–JN392972; KC120909–KC120919; KM998072–KM998074 and KP053645 strains were downloaded from NCBI BioSample database. ENDMEMO GC calculating tool was used for calculation of maximum, minimum and average GC percentage and graphical representation of GC content. Data generated indicate 20 short DNA sequences have maximum GC content ranged from 60% to 100% with an average GC content 52.5–59.8%. It is recorded that Bacillus sp. W7, Escherichia coli strain NW1 and Geobacillus thermoleovorans strain rekadwadsis strains showed GC content maximum up to 70%; Actinobacterium EF_NAK1-7 up to 85.7%, while Bacillus megaterium and E. coli strain NW2 showed GC content maximum to 100%. Digital data on thermophilic bacteria isolated from Unkeshwar hot springs would be useful for interpretation of presence of biodiversity in addition to phenotypic, physiological characteristics and data generated through 16S rRNA gene sequencing technology.
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spelling pubmed-48573952016-05-13 Bioinformatics data supporting revelatory diversity of cultivable thermophiles isolated and identified from two terrestrial hot springs, Unkeshwar, India Rekadwad, Bhagwan N. Khobragade, Chandrahasya N. Data Brief Data Article A total of 21 thermophilic bacteria were isolated and identified using 16S rRNA gene sequencing method. Sequences were submitted to NCBI website. Short DNA sequences JN392966–JN392972; KC120909–KC120919; KM998072–KM998074 and KP053645 strains were downloaded from NCBI BioSample database. ENDMEMO GC calculating tool was used for calculation of maximum, minimum and average GC percentage and graphical representation of GC content. Data generated indicate 20 short DNA sequences have maximum GC content ranged from 60% to 100% with an average GC content 52.5–59.8%. It is recorded that Bacillus sp. W7, Escherichia coli strain NW1 and Geobacillus thermoleovorans strain rekadwadsis strains showed GC content maximum up to 70%; Actinobacterium EF_NAK1-7 up to 85.7%, while Bacillus megaterium and E. coli strain NW2 showed GC content maximum to 100%. Digital data on thermophilic bacteria isolated from Unkeshwar hot springs would be useful for interpretation of presence of biodiversity in addition to phenotypic, physiological characteristics and data generated through 16S rRNA gene sequencing technology. Elsevier 2016-04-23 /pmc/articles/PMC4857395/ /pubmed/27182549 http://dx.doi.org/10.1016/j.dib.2016.04.038 Text en © 2016 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 Data Article
Rekadwad, Bhagwan N.
Khobragade, Chandrahasya N.
Bioinformatics data supporting revelatory diversity of cultivable thermophiles isolated and identified from two terrestrial hot springs, Unkeshwar, India
title Bioinformatics data supporting revelatory diversity of cultivable thermophiles isolated and identified from two terrestrial hot springs, Unkeshwar, India
title_full Bioinformatics data supporting revelatory diversity of cultivable thermophiles isolated and identified from two terrestrial hot springs, Unkeshwar, India
title_fullStr Bioinformatics data supporting revelatory diversity of cultivable thermophiles isolated and identified from two terrestrial hot springs, Unkeshwar, India
title_full_unstemmed Bioinformatics data supporting revelatory diversity of cultivable thermophiles isolated and identified from two terrestrial hot springs, Unkeshwar, India
title_short Bioinformatics data supporting revelatory diversity of cultivable thermophiles isolated and identified from two terrestrial hot springs, Unkeshwar, India
title_sort bioinformatics data supporting revelatory diversity of cultivable thermophiles isolated and identified from two terrestrial hot springs, unkeshwar, india
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4857395/
https://www.ncbi.nlm.nih.gov/pubmed/27182549
http://dx.doi.org/10.1016/j.dib.2016.04.038
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