刑事技术2026，Vol.51Issue(3)：252-259,8.DOI:10.16467/j.1008-3650.2025.0027
县域尺度下不同类型土壤细菌群落分析及溯源研究
Analysis and Source Tracing of Bacterial Communities in Different Soil Types at the County Scale
摘要
Abstract
A total of 328 soil samples were collected from Guangling County and classified into habitat-based categories,including vegetable soil,wetland soil,park soil,roadside soil,and hilly soil.The study aimed to investigate the distribution characteristics of bacterial community diversity across different land-use types at the county scale,as well as the geographic traceability of soil of unknown origin.High-throughput sequencing was conducted using the Illumina MiSeq PE250 platform,and the microbiome 16S rRNA gene amplicon sequencing data were analyzed using the Qiime 2 pipeline.Additionally,physicochemical indicators of 14 soil samples were determined.The soil bacterial community structure profiling demonstrated that,the relative abundance of dominant bacterial groups varied across different habitats.Principal coordinate analysis(PCoA)results indicated that intra-group differences among soil sample sites within the same subgroups were small,while inter-group differences among soil type sample sites from different subgroups were significant.Under this categorization,pH,TN,WC,IC,TP,Al,Mn,and Pb were identified as important environmental factors driving changes in soil microbial community composition in the region.Finally,a random forest model was established,and its parameters were optimized.Using the collected samples as a training set,the model achieved the highest prediction accuracy when utilizing soil microbial data,with an accuracy of 83.58％.关键词
土壤物证/高通量测序技术/随机森林模型/土壤细菌群落/土壤利用类型Key words
soil forensic/high-throughput sequencing technology/random forest model/soil bacterial communities/soil utilization types分类
社会科学引用本文复制引用
俞皓麒,苑美青,贾振军,时玉,石晓玉,刘光尧,林百川,柳佳彤,李卓言,陈博旭,凃政..县域尺度下不同类型土壤细菌群落分析及溯源研究[J].刑事技术,2026,51(3):252-259,8.基金项目
中央级公益性科研院所基本科研业务费专项资金项目(2021JB003) （2021JB003）
中国人民公安大学基本科研业务费项目(2024JKF05) （2024JKF05）
