TY - JOUR
T1 - Shotgun metagenomic sequencing data of sunflower rhizosphere microbial community in South Africa
AU - Babalola, Olubukola Oluranti
AU - Alawiye, Temitayo Tosin
AU - Lopez, Carlos Rodriguez
AU - Ayangbenro, Ayansina Segun
N1 - Publisher Copyright:
© 2020 The Author(s)
PY - 2020/8
Y1 - 2020/8
N2 - 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.
AB - 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.
KW - Illumina HiSeq
KW - MG RAST
KW - Metagenome
KW - Microbiota
KW - Soil
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U2 - 10.1016/j.dib.2020.105831
DO - 10.1016/j.dib.2020.105831
M3 - Article
AN - SCOPUS:85086505873
SN - 2352-3409
VL - 31
JO - Data in Brief
JF - Data in Brief
M1 - 105831
ER -