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First report of bacterial community from a Bat Guano using Illumina next-generation sequencing

V4 hypervariable region of 16S rDNA was analyzed for identifying the bacterial communities present in Bat Guano from the unexplored cave — Pnahkyndeng, Meghalaya, Northeast India. Metagenome comprised of 585,434 raw Illumina sequences with a 59.59% G+C content. A total of 416,490 preprocessed reads...

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Detalles Bibliográficos
Autores principales: De Mandal, Surajit, Zothansanga, Panda, Amritha Kumari, Bisht, Satpal Singh, Senthil Kumar, Nachimuthu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535889/
https://www.ncbi.nlm.nih.gov/pubmed/26484190
http://dx.doi.org/10.1016/j.gdata.2015.04.001
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author De Mandal, Surajit
Zothansanga
Panda, Amritha Kumari
Bisht, Satpal Singh
Senthil Kumar, Nachimuthu
author_facet De Mandal, Surajit
Zothansanga
Panda, Amritha Kumari
Bisht, Satpal Singh
Senthil Kumar, Nachimuthu
author_sort De Mandal, Surajit
collection PubMed
description V4 hypervariable region of 16S rDNA was analyzed for identifying the bacterial communities present in Bat Guano from the unexplored cave — Pnahkyndeng, Meghalaya, Northeast India. Metagenome comprised of 585,434 raw Illumina sequences with a 59.59% G+C content. A total of 416,490 preprocessed reads were clustered into 1282 OTUs (operational taxonomical units) comprising of 18 bacterial phyla. The taxonomic profile showed that the guano bacterial community is dominated by Chloroflexi, Actinobacteria and Crenarchaeota which account for 70.73% of all sequence reads and 43.83% of all OTUs. Metagenome sequence data are available at NCBI under the accession no. SRP051094. This study is the first to characterize Bat Guano bacterial community using next-generation sequencing approach.
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spelling pubmed-45358892015-10-19 First report of bacterial community from a Bat Guano using Illumina next-generation sequencing De Mandal, Surajit Zothansanga Panda, Amritha Kumari Bisht, Satpal Singh Senthil Kumar, Nachimuthu Genom Data Data in Brief V4 hypervariable region of 16S rDNA was analyzed for identifying the bacterial communities present in Bat Guano from the unexplored cave — Pnahkyndeng, Meghalaya, Northeast India. Metagenome comprised of 585,434 raw Illumina sequences with a 59.59% G+C content. A total of 416,490 preprocessed reads were clustered into 1282 OTUs (operational taxonomical units) comprising of 18 bacterial phyla. The taxonomic profile showed that the guano bacterial community is dominated by Chloroflexi, Actinobacteria and Crenarchaeota which account for 70.73% of all sequence reads and 43.83% of all OTUs. Metagenome sequence data are available at NCBI under the accession no. SRP051094. This study is the first to characterize Bat Guano bacterial community using next-generation sequencing approach. Elsevier 2015-04-09 /pmc/articles/PMC4535889/ /pubmed/26484190 http://dx.doi.org/10.1016/j.gdata.2015.04.001 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
De Mandal, Surajit
Zothansanga
Panda, Amritha Kumari
Bisht, Satpal Singh
Senthil Kumar, Nachimuthu
First report of bacterial community from a Bat Guano using Illumina next-generation sequencing
title First report of bacterial community from a Bat Guano using Illumina next-generation sequencing
title_full First report of bacterial community from a Bat Guano using Illumina next-generation sequencing
title_fullStr First report of bacterial community from a Bat Guano using Illumina next-generation sequencing
title_full_unstemmed First report of bacterial community from a Bat Guano using Illumina next-generation sequencing
title_short First report of bacterial community from a Bat Guano using Illumina next-generation sequencing
title_sort first report of bacterial community from a bat guano using illumina next-generation sequencing
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535889/
https://www.ncbi.nlm.nih.gov/pubmed/26484190
http://dx.doi.org/10.1016/j.gdata.2015.04.001
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