Geographic Distribution Pattern Determines Soil Microbial Community Assembly Process in <i>Acanthopanax senticosus</i> Rhizosphere Soil
The geographic distribution patterns of soil microbial communities associated with cultivated <i>Acanthopanax senticosus</i> plants in Northeast China were investigated. High-throughput sequencing revealed that the diversity and community assembly of bacterial and fungal communities in t...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
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| Series: | Microorganisms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-2607/12/12/2506 |
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| Summary: | The geographic distribution patterns of soil microbial communities associated with cultivated <i>Acanthopanax senticosus</i> 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 <i>Bacteriap25</i> and <i>Sutterellaceae</i> standing out among bacteria, and <i>Archaeorhizomyces</i> and <i>Clavaria</i> 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 <i>A. senticosus</i> and highlights the need for further research into the underlying mechanisms shaping these patterns. |
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| ISSN: | 2076-2607 |