ArticleBMC genomic data2025
Dataset of 16S rRNA and ITS gene amplicon sequencing of celery and parsley rhizosphere soils.
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 2 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Amplicon Characterization of Fungal Diversity and Functional Prediction of Glycine max L. Rhizosphere Microbiome Under Different Organic Fertilization.MicrobiologyOpen · 2026Article
- Bacterial Diversity and Functional Dynamics in the Soybean (Glycine max L.) Rhizosphere Under Different Organic Fertilisation.Environmental microbiology reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
objectivesThis amplicon metagenomic study examines the relative abundance, taxonomic profiles and community structure of bacterial and fungal communities associated with the roots of parsley (Petroselinum crispum) and celery (Apium graveolens) under monocropping and intercropping systems. The study aims to provide a baseline understanding of how intercropping influences rhizosphere microbial dynamics. DATA DESCRIPTION: The dataset provides insight into the effects of parsley-celery intercropping system on soil microbial richness, diversity and community structure. Amplicon metagenomic sequencing was performed on the DNA samples, targeting the 16S rRNA gene (V3-V4 region) and the ITS region for bacterial and fungal communities, respectively. The quantified libraries were pooled and sequenced using Illumina platforms, and the raw sequences were analyzed using the Quantitative Insights Into Microbial Ecology (QIIME 2 version 2019.1.) pipeline. The resulting Amplicon Sequence Variant (ASV) profiles revealed Actinobacteria and Protobacteria as the most predominant bacteria phyla, followed by Bacteroidota, Gemmatimonadota and Acidobacteriaota. The most predominant taxonomic distribution of fungi at the phylum level includes Ascomycota and Mortierellomycota. The dataset includes raw sequence reads in FASTQ format (.fastq.gz), which have been deposited in the Sequence Read Archive (SRA) of the National Center for Biotechnology Information (NCBI) under the Bioproject Accession numbers; SRP540554 (16S rRNA) and SRP540675 (ITS).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.