Babalola Olubukola Oluranti, Adebayo Alaba Adewole, Enagbonma Ben Jesuorsemwen
Food Security and Safety Focus Area, Faculty of Natural and Agricultural Science, North-West University, Private Box X2046, Mmabatho, 2735, North West Province, South Africa.
BMC Genom Data. 2025 Apr 12;26(1):26. doi: 10.1186/s12863-025-01320-7.
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.
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.
胡萝卜是一种重要的蔬菜作物,对农业多样性和粮食安全有重要贡献,但人们对其根际相关的核心微生物组了解较少。更重要的是,前茬作物和种植历史对胡萝卜根际微生物组的组成和多样性的影响在很大程度上仍不清楚。通过鸟枪法宏基因组学,该研究揭示了种植系统如何指导根际微生物组的结构和功能,而这在以前受到其他方法的限制。
使用Power soil® DNA提取试剂盒,从远处的大田土壤以及单作和大豆前茬胡萝卜的根际土壤的四个重复样本(共12个样本)中提取宏基因组DNA分子。DNA样本使用Illumina Novaseq X Plus(PE 150)平台进行下一代测序。原始测序读数分别在MEGAN软件中使用MEGAHIT和LCA算法进行组装和注释,然后用FASTP进行质量控制检查。使用CD-Hit对序列进行去冗余处理,并使用Bowtie2去除宿主基因组DNA和污染序列。使用Micro_NR和KEGG数据库分别对FastQ文件中的干净序列数据进行根际微生物组的分类学分类和功能多样性分析。这些发现为微生物组动态提供了见解,对可持续农业实践具有潜在意义。