Shotgun metagenomics dataset of the core rhizo-microbiome of monoculture and soybean-precedent carrot

Metagenomic-DNA molecule was extracted from four replicates each (12 samples) of a distant bulk soil and the rhizosphere soils from monoculture and soybean-precedent carrots, with the Power soil® DNA Isolation kit. The DNA samples were subjected to Next Generation Sequencing using the Illumina Novaseq X Plus (PE 150) platform. Raw sequencing reads were assembled and annotated with MEGAHIT and LCA algorithms in MEGAN software respectively, before a quality control check was done with FASTP. CD-Hit was used to de-replicate the sequences and the removal of host genomic-DNA and contaminant sequences was done with Bowtie2. The clean sequence data, in FastQ files, were analyzed for taxonomic classification and functional diversity of the rhizosphere microbiome using the Micro_NR and KEGG database respectively. The findings provide insights into microbiome dynamics, with potential implications for sustainable agricultural practices.

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Publication Details

Journal
BMC Genomic Data
Published
2025-04-12
DOI
https://doi.org/10.1186/s12863-025-01320-7
Citations
4
Primary Topic
Plant Disease Resistance and Genetics
Type
article
Field-Weighted Citation Impact
7.00

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article

Shotgun metagenomics dataset of the core rhizo-microbiome of monoculture and soybean-precedent carrot

Olubukola Oluranti Babalola, A. A. Adebayo, Ben Jesuorsemwen Enagbonma
4 citations
BMC Genomic Data
Plant Disease Resistance and Genetics
7.00
article

Shotgun metagenomics dataset of the core rhizo-microbiome of monoculture and soybean-precedent carrot

Olubukola Oluranti Babalola, A. A. Adebayo, Ben Jesuorsemwen Enagbonma
article en
4 citations

Abstract

Metagenomic-DNA molecule was extracted from four replicates each (12 samples) of a distant bulk soil and the rhizosphere soils from monoculture and soybean-precedent carrots, with the Power soil® DNA Isolation kit. The DNA samples were subjected to Next Generation Sequencing using the Illumina Novaseq X Plus (PE 150) platform. Raw sequencing reads were assembled and annotated with MEGAHIT and LCA algorithms in MEGAN software respectively, before a quality control check was done with FASTP. CD-Hit was used to de-replicate the sequences and the removal of host genomic-DNA and contaminant sequences was done with Bowtie2. The clean sequence data, in FastQ files, were analyzed for taxonomic classification and functional diversity of the rhizosphere microbiome using the Micro_NR and KEGG database respectively. The findings provide insights into microbiome dynamics, with potential implications for sustainable agricultural practices.

BMC Genomic DataVol. 26(1)
North-West University (ZA)
International Centre for Genetic Engineering and Biotechnology, North-West University
Openalex Percentile: Top 4%
Plant Disease Resistance and Genetics
7.00
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