农业与技术2026，Vol.46Issue(9)：15-21,7.DOI:10.19754/j.nyyjs.20260930003
基于16S rRNA扩增子序列分析艾草根际土壤微生物群落多样性和功能预测
Study of Rhizosphere Soil Microbial Community Diversity and Functional Prediction of Artemisia argyi Based on 16S rRNA Amplicon Sequencing
摘要
Abstract
To clarify the differences in bacterial community structure and diversity between rhizosphere and non-rhizosphere soils of Artemisia argyi,Illumina high-throughput sequencing combined with PICRUSt2 functional prediction were used to analyze microbial characteristics of A.argyi rhizosphere soil in Yuzhong,Gansu.The results showed that an average of 714,006 raw sequences with an average length of 417 bp were obtained,and the sample coverage was above 99.71％.The alpha-diversity indexes of Simpson,Shannon,Chao1,Observed species and Pielou_e were 0.99,9.96,32,418.0,32,206.5 and 0.86,respectively.Actinomycetota was the most dominant phylum in all samples and was significantly enriched in the rhizosphere of two-year-old A.argyi.The dominant phyla also included Pseudomonadota and Bacillota;the dominant orders were Micrococcales and Rhizobiales,and the dominant genera were Rhizobium,Lysobacte and Bacillus.Principal component analysis showed significant differences between rhizosphere and non-rhizosphere microbial communities,and A.argyi planting significantly improved the diversity and evenness of soil microbial community.Functional prediction indicated that the abundance of metabolism was the highest in KEGG level 1 pathways,and COG functions were mainly concentrated in membrane transport,translation,DNA replication,signal transduction,amino acid/carbohydrate metabolism and secondary metabolite synthesis.This study provides a theoretical basis for the prevention and control of continuous cropping obstacles and the regulation of rhizosphere microenvironment of A.argyi.关键词
艾草/Illumina高通量测序/微生物多样性/功能预测Key words
Artemisia argyi/Illumina high-throughput sequencing/microbial diversity/functional prediction分类
农业科技引用本文复制引用
李玉萍..基于16S rRNA扩增子序列分析艾草根际土壤微生物群落多样性和功能预测[J].农业与技术,2026,46(9):15-21,7.基金项目
甘肃省科技计划项目(项目编号:25CXNA009) （项目编号:25CXNA009）
