Dataset Information

Deciphering the microbiota data from termite mound soil in South Africa using shotgun metagenomics.

ABSTRACT: We present the metagenomic dataset of the microbial DNA of a termite mound in the North West Province of South Africa. This is the foremost account revealing the microbial diversity of a termite mound soil using the shotgun metagenomics approach in the Province. Next-generation sequencing of the community DNA was carried out on an Illumina Miseq platform. The metagenome comprised of 7,270,818 sequences representing 1,172,099,467 bps with a mean length of 161 bps and 52% G + C content. The sequence data is accessible at the NCBI SRA under the bioproject number PRJNA526912. Metagenomic Rapid Annotations using Subsystems Technology (MG-RAST) was employed for community analysis and it was observed that 0.36% sequences were of archeal origin, 9.51% were eukaryotes and 90.01% were fit to bacteria. A total of 5 archeal, 27 bacterial, and 22 eukaryotic phyla were revealed. Abundant genera were Sphingomonas (6.00%), Streptomyces (5.00%), Sphingobium (4.00%), Sphingopyxis (3.00%), and Mycobacterium (3.00%), representing 19.23% in the metagenome. For functional examination, Cluster-of-Orthologous-Group (COG) based annotation showed that 46.44% sequences were metabolism associated and 17.45% grouped in the poorly characterized category. Subsystem based annotation method indicated that 14.00% sequences were carbohydrates, 13.00% were clustering-based subsystems, and 10.00% genes for amino acids and derivatives together with the presence of useful traits needed in the body of science.

SUBMITTER: Enagbonma BJ

PROVIDER: S-EPMC6889748 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Deciphering the microbiota data from termite mound soil in South Africa using shotgun metagenomics.

Enagbonma Ben Jesuorsemwen BJ Amoo Adenike Eunice AE Babalola Olubukola Oluranti OO

Data in brief 20191113

We present the metagenomic dataset of the microbial DNA of a termite mound in the North West Province of South Africa. This is the foremost account revealing the microbial diversity of a termite mound soil using the shotgun metagenomics approach in the Province. Next-generation sequencing of the community DNA was carried out on an Illumina Miseq platform. The metagenome comprised of 7,270,818 sequences representing 1,172,099,467 bps with a mean length of 161 bps and 52% G + C content. The sequen ...[more]

PMID: 31832528

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Dataset Information

Deciphering the microbiota data from termite mound soil in South Africa using shotgun metagenomics.

Publications

Deciphering the microbiota data from termite mound soil in South Africa using shotgun metagenomics.

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