ArticleBMC genomic data2025
Amplicon-based metagenomic survey of microbes associated with the organic and inorganic rhizosphere soil of Glycine max L.
Article in BMC genomic data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Amplicon Characterization of Fungal Diversity and Functional Prediction of Glycine max L. Rhizosphere Microbiome Under Different Organic Fertilization.MicrobiologyOpen · 2026Article
- Recovery of organic waste from a wastewater treatment plant, improved with plant growth promoting bacteria: model ofFrontiers in microbiology · 2026Article
- Use ofBiology · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe 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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