{"title":"Dataset of 16S rRNA and ITS gene amplicon sequencing of celery and parsley rhizosphere soils.","authors":"Olubukola Oluranti Babalola, Florence Oluwayemisi Ogundeji, Akinlolu Olalekan Akanmu","doi":"10.1186/s12863-025-01351-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>This 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.</p><p><strong>Data description: </strong>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).</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":"26 1","pages":"60"},"PeriodicalIF":2.5000,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12376418/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC genomic data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s12863-025-01351-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: This 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).