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Shotgun metagenomic sequencing data of sunflower rhizosphere microbial community in South Africa

This dataset presents shotgun metagenomic sequencing of sunflower rhizosphere microbiome in Bloemhof, South Africa. Data were collected to decipher the structure and function in the sunflower microbial community. Illumina HiSeq platform using next generation sequencing of the DNA was carried out. Th...

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Autores principales: Babalola, Olubukola Oluranti, Alawiye, Temitayo Tosin, Lopez, Carlos Rodriguez, Ayangbenro, Ayansina Segun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305406/
https://www.ncbi.nlm.nih.gov/pubmed/32577457
http://dx.doi.org/10.1016/j.dib.2020.105831
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author Babalola, Olubukola Oluranti
Alawiye, Temitayo Tosin
Lopez, Carlos Rodriguez
Ayangbenro, Ayansina Segun
author_facet Babalola, Olubukola Oluranti
Alawiye, Temitayo Tosin
Lopez, Carlos Rodriguez
Ayangbenro, Ayansina Segun
author_sort Babalola, Olubukola Oluranti
collection PubMed
description This dataset presents shotgun metagenomic sequencing of sunflower rhizosphere microbiome in Bloemhof, South Africa. Data were collected to decipher the structure and function in the sunflower microbial community. Illumina HiSeq platform using next generation sequencing of the DNA was carried out. The metagenome comprised 8,991,566 sequences totaling 1,607,022,279 bp size and 66% GC content. The metagenome was deposited into the NCBI database and can be accessed with the SRA accession number SRR10418054. An online metagenome server (MG RAST) using the subsystem database revealed bacteria had the highest taxonomical representation with 98.47%, eukaryote at 1.23%, and archaea at 0.20%. The most abundant genera were the Conexibacter (17%), Nocardioides (8%), Streptomyces (7%), Geodermatophilus (6%), Methylobacterium (5%), and Burkholderia (4%). MG-RAST assisted analysis also revealed functional annotation based on subsystem, carbohydrates sequence had 13.74%, clustering based subsystem 12.93%, amino acids and derivatives 10.30% coupled with other useful functional traits needed for plant growth and health.
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spelling pubmed-73054062020-06-22 Shotgun metagenomic sequencing data of sunflower rhizosphere microbial community in South Africa Babalola, Olubukola Oluranti Alawiye, Temitayo Tosin Lopez, Carlos Rodriguez Ayangbenro, Ayansina Segun Data Brief Agricultural and Biological Science This dataset presents shotgun metagenomic sequencing of sunflower rhizosphere microbiome in Bloemhof, South Africa. Data were collected to decipher the structure and function in the sunflower microbial community. Illumina HiSeq platform using next generation sequencing of the DNA was carried out. The metagenome comprised 8,991,566 sequences totaling 1,607,022,279 bp size and 66% GC content. The metagenome was deposited into the NCBI database and can be accessed with the SRA accession number SRR10418054. An online metagenome server (MG RAST) using the subsystem database revealed bacteria had the highest taxonomical representation with 98.47%, eukaryote at 1.23%, and archaea at 0.20%. The most abundant genera were the Conexibacter (17%), Nocardioides (8%), Streptomyces (7%), Geodermatophilus (6%), Methylobacterium (5%), and Burkholderia (4%). MG-RAST assisted analysis also revealed functional annotation based on subsystem, carbohydrates sequence had 13.74%, clustering based subsystem 12.93%, amino acids and derivatives 10.30% coupled with other useful functional traits needed for plant growth and health. Elsevier 2020-06-11 /pmc/articles/PMC7305406/ /pubmed/32577457 http://dx.doi.org/10.1016/j.dib.2020.105831 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 Agricultural and Biological Science
Babalola, Olubukola Oluranti
Alawiye, Temitayo Tosin
Lopez, Carlos Rodriguez
Ayangbenro, Ayansina Segun
Shotgun metagenomic sequencing data of sunflower rhizosphere microbial community in South Africa
title Shotgun metagenomic sequencing data of sunflower rhizosphere microbial community in South Africa
title_full Shotgun metagenomic sequencing data of sunflower rhizosphere microbial community in South Africa
title_fullStr Shotgun metagenomic sequencing data of sunflower rhizosphere microbial community in South Africa
title_full_unstemmed Shotgun metagenomic sequencing data of sunflower rhizosphere microbial community in South Africa
title_short Shotgun metagenomic sequencing data of sunflower rhizosphere microbial community in South Africa
title_sort shotgun metagenomic sequencing data of sunflower rhizosphere microbial community in south africa
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305406/
https://www.ncbi.nlm.nih.gov/pubmed/32577457
http://dx.doi.org/10.1016/j.dib.2020.105831
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