Differences in the rhizosphere microbial communities of Glyptostrobus pensilis in different geographical distributions
To investigate the characteristics of microbial communities in the rhizosphere of Glyptostrobus pensilis,the rhizosphere soil of wild G.pensilis in Guangxi was used as the research subject.High-throughput sequencing technology was used to analyze the differences in bacterial and fungal communities in the rhizosphere of G.pensilis in different geographical distributions.Correlation and redundancy analyses were used to evaluate the relationships among these microbial communities,rhizosphere soil nutrients,and geographical and climatic factors.The results showed that the dominant bacterial and fungal phyla in the rhizosphere soil of G.pensilis across different geographical distributions in Guangxi were Proteobacteria and Ascomycota,respectively,with Escherichia-Shigella being the dominant genus.The fungal communities in the rhizosphere were primarily saprotrophic.There were differences in the α-diversity indices of microbial communities in the rhizosphere soil across different geographical distributions.Compared to other geographical distributions,Qintang showed a relatively lower diversity,whereas Tiandeng and Binyang exhibited a higher diversity.In addition,Cangwu and Yanshan had more bacterial and fungi biomarkers,whereas Qintang and Pingle had fewer bacterial and fungi biomarkers.Redundancy analysis indicated that the soil nutrients in G.pensilis rhizosphere soils from different geographical locations in Guangxi were closely associated with bacterial communities,whereas climate was closely associated with fungal communities.Additionally,available phosphorus,total phosphorus,mean annual relative humidity,and available potassium were identified as the main drivers of bacterial communities,whereas mean annual relative humidity was the main driver of fungal communities.Furthermore,the study revealed that Firmicutes,Acidobacteria,Patescibacteria,Sva0485,Basidiomycota,and Mortierellomycota were closely related to soil phosphorus and potassium levels.
万方数据
维普
