Olubukola Oluranti Babalola, Alaba Adewole Adebayo, Ben Jesuorsemwen Enagbonma
{"title":"Shotgun metagenomics dataset of the core rhizo-microbiome of monoculture and soybean-precedent carrot.","authors":"Olubukola Oluranti Babalola, Alaba Adewole Adebayo, Ben Jesuorsemwen Enagbonma","doi":"10.1186/s12863-025-01320-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Carrot is a significant vegetable crop contributing to agricultural diversity and food security, but less is known about the core microbiome associated with its rhizosphere. More so, the effect of preceding crop and cropping history on the composition and diversity of carrot rhizo-microbiome remains largely unknown. With shotgun metagenomics, the study unveils how cropping systems direct rhizo-microbiome structure and functions, previously limited by other methods.</p><p><strong>Data description: </strong>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.</p>","PeriodicalId":72427,"journal":{"name":"BMC genomic data","volume":"26 1","pages":"26"},"PeriodicalIF":1.9000,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11993964/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC genomic data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s12863-025-01320-7","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: Carrot is a significant vegetable crop contributing to agricultural diversity and food security, but less is known about the core microbiome associated with its rhizosphere. More so, the effect of preceding crop and cropping history on the composition and diversity of carrot rhizo-microbiome remains largely unknown. With shotgun metagenomics, the study unveils how cropping systems direct rhizo-microbiome structure and functions, previously limited by other methods.
Data description: 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.
目的:胡萝卜是一种重要的蔬菜作物,有助于农业多样性和粮食安全,但对其根际相关的核心微生物群知之甚少。更重要的是,前一种作物和种植历史对胡萝卜根瘤菌群组成和多样性的影响在很大程度上仍然未知。利用霰弹枪宏基因组学,该研究揭示了种植系统如何指导根茎微生物组的结构和功能,这在以前受到其他方法的限制。数据描述:使用Power soil®DNA分离试剂盒,从远处大块土壤和单作胡萝卜根际土壤中提取宏基因组DNA分子,每个重复4个(12个样本)。DNA样本使用Illumina Novaseq X Plus (PE 150)平台进行下一代测序。在FASTP进行质量控制检查之前,分别在MEGAN软件中使用MEGAHIT和LCA算法对原始测序reads进行组装和注释。使用CD-Hit对序列进行去复制,使用Bowtie2去除宿主基因组dna和污染物序列。利用FastQ文件中的clean序列数据,分别利用Micro_NR和KEGG数据库对根际微生物组进行分类和功能多样性分析。这些发现提供了对微生物组动力学的见解,对可持续农业实践具有潜在的影响。