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Bambara groundnut soil metagenomics data

Metagenomics analysis was carried out on extracted DNA of Rhizospheric soil samples from Bambara groundnut. This dataset presented reports on the bacterial communities at the different growth stages of Bambara groundnut and the bulk soil. Paired-end Illumina-Miseq sequencing of 16S rRNA genes was ca...

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Detalles Bibliográficos
Autores principales: Ajilogba, Caroline Fadeke, Babalola, Olubukola Oluranti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178491/
https://www.ncbi.nlm.nih.gov/pubmed/32346574
http://dx.doi.org/10.1016/j.dib.2020.105542
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author Ajilogba, Caroline Fadeke
Babalola, Olubukola Oluranti
author_facet Ajilogba, Caroline Fadeke
Babalola, Olubukola Oluranti
author_sort Ajilogba, Caroline Fadeke
collection PubMed
description Metagenomics analysis was carried out on extracted DNA of Rhizospheric soil samples from Bambara groundnut. This dataset presented reports on the bacterial communities at the different growth stages of Bambara groundnut and the bulk soil. Paired-end Illumina-Miseq sequencing of 16S rRNA genes was carried on the soil samples of the bacterial community with the phyla dominated by Actinobacteria (30.1%), Proteobacteria (22%), Acidobacteria (20.9%), Bacteroides (8.4%), Chloroflex (4.5%) and Firmicutes (4.4%) in all the soil samples. Samples from the bulk soil had the least average percent phyla, while samples at seed maturity stage had the highest average percent phyla. The alpha diversity at p = 0.05 was highest at this stage compared to the others and the control. Rubrobacter was the most predominant genera, after which is Acidobacterium and Skermanella. The biodiversity profile generated from the metagenomics analysis is useful in increasing knowledge of the drought-tolerance ability of Bambara groundnut. The data generated can be used to compare bacterial diversity at different growth stages of plants.
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spelling pubmed-71784912020-04-28 Bambara groundnut soil metagenomics data Ajilogba, Caroline Fadeke Babalola, Olubukola Oluranti Data Brief Biochemistry, Genetics and Molecular Biology Metagenomics analysis was carried out on extracted DNA of Rhizospheric soil samples from Bambara groundnut. This dataset presented reports on the bacterial communities at the different growth stages of Bambara groundnut and the bulk soil. Paired-end Illumina-Miseq sequencing of 16S rRNA genes was carried on the soil samples of the bacterial community with the phyla dominated by Actinobacteria (30.1%), Proteobacteria (22%), Acidobacteria (20.9%), Bacteroides (8.4%), Chloroflex (4.5%) and Firmicutes (4.4%) in all the soil samples. Samples from the bulk soil had the least average percent phyla, while samples at seed maturity stage had the highest average percent phyla. The alpha diversity at p = 0.05 was highest at this stage compared to the others and the control. Rubrobacter was the most predominant genera, after which is Acidobacterium and Skermanella. The biodiversity profile generated from the metagenomics analysis is useful in increasing knowledge of the drought-tolerance ability of Bambara groundnut. The data generated can be used to compare bacterial diversity at different growth stages of plants. Elsevier 2020-04-14 /pmc/articles/PMC7178491/ /pubmed/32346574 http://dx.doi.org/10.1016/j.dib.2020.105542 Text en © 2020 The Author(s) 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 Biochemistry, Genetics and Molecular Biology
Ajilogba, Caroline Fadeke
Babalola, Olubukola Oluranti
Bambara groundnut soil metagenomics data
title Bambara groundnut soil metagenomics data
title_full Bambara groundnut soil metagenomics data
title_fullStr Bambara groundnut soil metagenomics data
title_full_unstemmed Bambara groundnut soil metagenomics data
title_short Bambara groundnut soil metagenomics data
title_sort bambara groundnut soil metagenomics data
topic Biochemistry, Genetics and Molecular Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178491/
https://www.ncbi.nlm.nih.gov/pubmed/32346574
http://dx.doi.org/10.1016/j.dib.2020.105542
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