县域尺度下不同类型土壤细菌群落分析及溯源研究OA

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％.