Comparison of Community Characteristics and Influencing Factor Analysis of Arbuscular Mycorrhizal Fungal Communities in Rhizospheric Soil of Angelica sinensis
in this paper,the variation of arbuscular mycorrhizal fungi(AMF)was analyzed during the growth process of Angelica sinensis(A.sinensis),to provide a scientific basis for the application of AMF in improving the quality and efficiency of A.sinensis.The Illumina Miseq sequencing was used to determine the diversity and microbial com-munity composition of AMF at the leaf cluster stage,the root expansion stage and the medicinal stage of A.sinensis,as well as the physicochemical characteristics of every stage rhizosphere soil and contents of heavy metals cadmium and arsenic,were measured.Furthermore,the response of the AMF microbial community to soil factors was ana-lyzed.The results illustrated that with the growth of A.sinensis,the a-diversity of AMF in rhizosphere soil in-creased,and there were also distinct differences in β-diversity.The dominant bacteria of AMF in rhizospheric soil of A.sinensis were Glomus_f_Glomeraceae and Diversispora at the genus level.With the growth of A.sinensis,the a-bundance of Diversispora gradually decreased,while that of Glomus_f_Glomeraceae increased to become absolute dominant genus.Whereas,only Unclassified_o_Diversisporales displayed significant differences in different growth stages of A.sinensis(p＜0.05).The diversity and the microbial community of AMF were affected by the soil factors about soil pH,electrical conductivity,and heavy metals such as cadmium and arsenic.These results showed that AMF diversity and flora composition had marked changes during different growth stages of A.sinensis,and soil fac-tors were important driving forces for variations of AMF diversity and microbial community composition.These find-ings will be likely to reveal the interrelationship and mechanism between AMF and the growth of A.sinensis,provide theoretical reference for ecological planting and the quality and efficiency improvement of A.sinensis.
万方数据
维普
