Geographic Distribution Pattern Determines Soil Microbial Community Assembly Process in Acanthopanax senticosus Rhizosphere Soil

被引:1
作者
Wang, Mingyu [1 ,2 ,3 ,4 ,5 ]
Xing, Xiangyu [1 ,2 ,3 ,4 ,5 ]
Zhang, Youjia [1 ,2 ,3 ,4 ,5 ]
Sui, Xin [1 ,2 ,3 ,4 ,5 ]
Zheng, Chunying [1 ,2 ,3 ,4 ,5 ]
机构
[1] Heilongjiang Univ, Engn Res Ctr Agr Microbiol Technol, Minist Educ, Harbin 150080, Peoples R China
[2] Heilongjiang Univ, Heilongjiang Prov Key Lab Ecol Restorat & Resource, Harbin 150080, Peoples R China
[3] Heilongjiang Univ, Heilongjiang Prov Key Lab Plant Genet Engn & Biol, Harbin 150080, Peoples R China
[4] Heilongjiang Univ, Coll Heilongjiang Prov, Key Lab Microbiol, Harbin 150080, Peoples R China
[5] Heilongjiang Univ, Sch Life Sci, Harbin 150080, Peoples R China
关键词
Acanthopanax senticosus; rhizosphere microbiome; geographic factors; environmental variables; DIVERSITY; BIODEGRADATION; MECHANISMS; PHYSIOLOGY; BACTERIAL; RESOURCE; FUNGI; MODEL; PH;
D O I
10.3390/microorganisms12122506
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The geographic distribution patterns of soil microbial communities associated with cultivated Acanthopanax senticosus plants in Northeast China were investigated. High-throughput sequencing revealed that the diversity and community assembly of bacterial and fungal communities in the inter-root soil varied significantly with geographic location. The study found that bacterial communities were predominantly assembled through stochastic processes at most sites, while fungal communities showed greater variation, with both stochastic and deterministic processes involved. The complexity of bacterial-fungal co-occurrence networks also varied with longitude and latitude, demonstrating both positive and negative interactions. PICRUSt 2.0 and FUNGuild were used to predict the potential functions of soil bacterial and fungal microbiota, respectively, during different land use patterns. The average taxonomic distinctness (AVD) index indicated varying degrees of community stability across sites. Key microbial taxa contributing to community variability were identified through Random Forest modeling, with Bacteriap25 and Sutterellaceae standing out among bacteria, and Archaeorhizomyces and Clavaria among fungi. Soil chemical properties, including pH, TN, TP, EC, and SOC, significantly correlated with microbial diversity, composition, and co-occurrence networks. Structural equation modeling revealed that geographic distribution patterns directly and indirectly influenced soil chemical properties and microbial communities. Overall, the study provides insights into the geographic distribution patterns of soil microbial communities associated with A. senticosus and highlights the need for further research into the underlying mechanisms shaping these patterns.
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页数:32
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