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Amplicon sequencing data profiling of bacterial community connected with the rhizospheric soil from sunflower plants
This article presents dataset on the bacterial community structure associated with rhizospheric sunflower soils from Lichtenburg, South Africa. The Illumina Miseq sequencing of 16S rRNA gene amplicon unveiled the bacterial community diversities as well as generated metagenomic library from sunflower...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9079167/ https://www.ncbi.nlm.nih.gov/pubmed/35539022 http://dx.doi.org/10.1016/j.dib.2022.108207 |
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author | Babalola, Olubukola Oluranti Nwachukwu, Blessing Chidinma Ayangbenro, Ayansina Segun |
author_facet | Babalola, Olubukola Oluranti Nwachukwu, Blessing Chidinma Ayangbenro, Ayansina Segun |
author_sort | Babalola, Olubukola Oluranti |
collection | PubMed |
description | This article presents dataset on the bacterial community structure associated with rhizospheric sunflower soils from Lichtenburg, South Africa. The Illumina Miseq sequencing of 16S rRNA gene amplicon unveiled the bacterial community diversities as well as generated metagenomic library from sunflower rhizospheric soils to understand the diversities and distribution. The metagenome contained a total of 41,471 sequences with 45,975 operational taxonomic units (OTUs). Metagenome sequence information is obtainable at NCBI under the Bioproject assigned accession number PRJNA782103. Taxonomic hits distribution from USEARCH analysis at phylum level classification of BN_E discovered predominantly Actinobacteria (33.89%), followed by Proteobacteria (35.45%), Firmicutes (6.45%), Planctomycetes (4.12%), Chloroflexi (4.28%) and Gemmatimonadetes (2.40%). Also, USEARCH assisted analysis of BN_F sample also detected the prevalence of Actinobacteria (45.92%), Proteobacteria (23.23%), Firmicutes (3.84%), Planctomycetes (6.46%), Chloroflexi (4.94%) and Gemmatimonadetes (1.99%), which take part in vital ecological functions and biogeochemical activities needed for plant growth and health. |
format | Online Article Text |
id | pubmed-9079167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-90791672022-05-09 Amplicon sequencing data profiling of bacterial community connected with the rhizospheric soil from sunflower plants Babalola, Olubukola Oluranti Nwachukwu, Blessing Chidinma Ayangbenro, Ayansina Segun Data Brief Data Article This article presents dataset on the bacterial community structure associated with rhizospheric sunflower soils from Lichtenburg, South Africa. The Illumina Miseq sequencing of 16S rRNA gene amplicon unveiled the bacterial community diversities as well as generated metagenomic library from sunflower rhizospheric soils to understand the diversities and distribution. The metagenome contained a total of 41,471 sequences with 45,975 operational taxonomic units (OTUs). Metagenome sequence information is obtainable at NCBI under the Bioproject assigned accession number PRJNA782103. Taxonomic hits distribution from USEARCH analysis at phylum level classification of BN_E discovered predominantly Actinobacteria (33.89%), followed by Proteobacteria (35.45%), Firmicutes (6.45%), Planctomycetes (4.12%), Chloroflexi (4.28%) and Gemmatimonadetes (2.40%). Also, USEARCH assisted analysis of BN_F sample also detected the prevalence of Actinobacteria (45.92%), Proteobacteria (23.23%), Firmicutes (3.84%), Planctomycetes (6.46%), Chloroflexi (4.94%) and Gemmatimonadetes (1.99%), which take part in vital ecological functions and biogeochemical activities needed for plant growth and health. Elsevier 2022-04-26 /pmc/articles/PMC9079167/ /pubmed/35539022 http://dx.doi.org/10.1016/j.dib.2022.108207 Text en © 2022 The Author(s) https://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 Babalola, Olubukola Oluranti Nwachukwu, Blessing Chidinma Ayangbenro, Ayansina Segun Amplicon sequencing data profiling of bacterial community connected with the rhizospheric soil from sunflower plants |
title | Amplicon sequencing data profiling of bacterial community connected with the rhizospheric soil from sunflower plants |
title_full | Amplicon sequencing data profiling of bacterial community connected with the rhizospheric soil from sunflower plants |
title_fullStr | Amplicon sequencing data profiling of bacterial community connected with the rhizospheric soil from sunflower plants |
title_full_unstemmed | Amplicon sequencing data profiling of bacterial community connected with the rhizospheric soil from sunflower plants |
title_short | Amplicon sequencing data profiling of bacterial community connected with the rhizospheric soil from sunflower plants |
title_sort | amplicon sequencing data profiling of bacterial community connected with the rhizospheric soil from sunflower plants |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9079167/ https://www.ncbi.nlm.nih.gov/pubmed/35539022 http://dx.doi.org/10.1016/j.dib.2022.108207 |
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