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Bacterial diversity in rhizosphere of Paspalum scrobiculatum L. (kodo millet) is revealed with shotgun metagenome sequencing and data analysis

Rhizosphere bacterial communities of kodo millet plant was analyzed from a large metagenome sequence dataset. Plant rhizosphere samples of kodo millet was collected in replicates and the metagenomic sequence data were obtained through shotgun sequencing. Overall sequences in the dataset were 476,649...

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Autores principales: Prabha, Ratna, Singh, Dhananjaya P., Verma, Mukesh K., Sahu, Pramod, Kumar, Prafull
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157409/
https://www.ncbi.nlm.nih.gov/pubmed/30263918
http://dx.doi.org/10.1016/j.dib.2018.09.006
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author Prabha, Ratna
Singh, Dhananjaya P.
Verma, Mukesh K.
Sahu, Pramod
Kumar, Prafull
author_facet Prabha, Ratna
Singh, Dhananjaya P.
Verma, Mukesh K.
Sahu, Pramod
Kumar, Prafull
author_sort Prabha, Ratna
collection PubMed
description Rhizosphere bacterial communities of kodo millet plant was analyzed from a large metagenome sequence dataset. Plant rhizosphere samples of kodo millet was collected in replicates and the metagenomic sequence data were obtained through shotgun sequencing. Overall sequences in the dataset were 476,649 comprising total read length of 179,349,372 base pairs. Taxonomic data analysis led to characterize α-diversity of 107 species. Dominance of actinobacteria followed by unclassified sequences (derived from Bacteria) was recorded. Raw data along with the analysis result is publicly available from the MG-RAST server with ID mgm4761530.3.
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spelling pubmed-61574092018-09-27 Bacterial diversity in rhizosphere of Paspalum scrobiculatum L. (kodo millet) is revealed with shotgun metagenome sequencing and data analysis Prabha, Ratna Singh, Dhananjaya P. Verma, Mukesh K. Sahu, Pramod Kumar, Prafull Data Brief Agricultural and Biological Science Rhizosphere bacterial communities of kodo millet plant was analyzed from a large metagenome sequence dataset. Plant rhizosphere samples of kodo millet was collected in replicates and the metagenomic sequence data were obtained through shotgun sequencing. Overall sequences in the dataset were 476,649 comprising total read length of 179,349,372 base pairs. Taxonomic data analysis led to characterize α-diversity of 107 species. Dominance of actinobacteria followed by unclassified sequences (derived from Bacteria) was recorded. Raw data along with the analysis result is publicly available from the MG-RAST server with ID mgm4761530.3. Elsevier 2018-09-07 /pmc/articles/PMC6157409/ /pubmed/30263918 http://dx.doi.org/10.1016/j.dib.2018.09.006 Text en © 2018 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 Agricultural and Biological Science
Prabha, Ratna
Singh, Dhananjaya P.
Verma, Mukesh K.
Sahu, Pramod
Kumar, Prafull
Bacterial diversity in rhizosphere of Paspalum scrobiculatum L. (kodo millet) is revealed with shotgun metagenome sequencing and data analysis
title Bacterial diversity in rhizosphere of Paspalum scrobiculatum L. (kodo millet) is revealed with shotgun metagenome sequencing and data analysis
title_full Bacterial diversity in rhizosphere of Paspalum scrobiculatum L. (kodo millet) is revealed with shotgun metagenome sequencing and data analysis
title_fullStr Bacterial diversity in rhizosphere of Paspalum scrobiculatum L. (kodo millet) is revealed with shotgun metagenome sequencing and data analysis
title_full_unstemmed Bacterial diversity in rhizosphere of Paspalum scrobiculatum L. (kodo millet) is revealed with shotgun metagenome sequencing and data analysis
title_short Bacterial diversity in rhizosphere of Paspalum scrobiculatum L. (kodo millet) is revealed with shotgun metagenome sequencing and data analysis
title_sort bacterial diversity in rhizosphere of paspalum scrobiculatum l. (kodo millet) is revealed with shotgun metagenome sequencing and data analysis
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157409/
https://www.ncbi.nlm.nih.gov/pubmed/30263918
http://dx.doi.org/10.1016/j.dib.2018.09.006
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