Amplicon-based metagenomic survey of microbes associated with the organic and inorganic rhizosphere soil of Glycine max L.
Abstract Objectives The metagenomic dataset of 16S rRNA and ITS gene amplicons of DNA were obtained from the cultivated soybean rhizosphere of organic and inorganic treatments. The organic treatments consisted of poultry waste, and cow dung treatments while the inorganic consisted of samples from un...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-06-01
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| Series: | BMC Genomic Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12863-025-01333-2 |
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| Summary: | Abstract Objectives The metagenomic dataset of 16S rRNA and ITS gene amplicons of DNA were obtained from the cultivated soybean rhizosphere of organic and inorganic treatments. The organic treatments consisted of poultry waste, and cow dung treatments while the inorganic consisted of samples from untreated soybean plots and the bulk. Amplicon sequencing was performed on the Illumina platform, and the raw sequence data were processed and analyzed using Quantitative Insights Into Microbial Ecology (QIIME 2 version 2019.1.). Data description The analysis revealed a metagenomic library from soybean rhizospheric soils, providing insights into diversity and distribution of the bacterial and fungal community diversities. The most predominant bacteria phylum taxa across the treatments were Proteobacteria, Firmicutes, Actinobacteriota and Bacteriodota, while those for fungi were Ascomycota, Basidiomycota and Glomeromycota. The dataset provides insights into how different organic fertilization sources affect the structure, composition, and diversity of the microbiome in the soybean rhizosphere. The sequences have been deposited in the Sequence Read Archive (SRA) of the National Center for Biotechnology Information (NCBI) with assigned bioproject accession numbers; 16S rRNA (SRP540791) and ITS (SRP541849). |
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| ISSN: | 2730-6844 |