Comparative analysis of soil microbial composition of four typical plant communities in Momoge National Nature Reserve,Jilin Province
As one of the important components of wetland ecosystems,soil microorganisms are the main driving force of decomposition of animal and plant residues,playing an important role in nutrient cycling and maintaining soil physicochemical properties.To explore the composition of soil microorganisms in the wetland of Momoge Nation-al Nature Reserve in Jilin Province,soil microbial communities and soil physicochemical properties were analyzed under four typical wetland plant communities,which were dominated by Suaeda glauca,Scirpus planiculmis,Scir-pus nipponicus,and Phragmites australis,respectively.The results of 16S rRNA and ITS full-length sequencing showed that Proteobacteria was the most abundant bacterial phylum in the soils of all the four plant communities,while Ascomycota was the most abundant fungal phylum.Richness and diversity of soil bacteria were the highest in the two Scirpus-dominated communities,while soil fungi richness was the highest in S.nipponicus community.How-ever,there was no significant difference in soil fungi diversity among the four plant communities.LEfSe analysis showed that the relative abundance of Bacteroidales,Clostridia,Clostridiales,and Alternaria in the soil of S.plan-iculmis community was significantly higher than that in the other three plant communities.The relative abundance of Proteobacteria,Acidobacteria,Rozellomycota,Pseudomonas,and Lepiota in the soil of S.nipponicus community was significantly higher than that of the other three plant communities.The composition and diversity of soil bacteri-al communities were greatly affected by soil pH,electrical conductivity,and organic carbon concentration.Our re-sults provide reference for the maintenance of wetland ecological functions and the improvement of soil microbial community structure in Momoge National Nature Reserve.
Momoge National Nature Reservevegetation communitysoil microorganismsoil physicochemical in-dex
万方数据
维普
