| 摘要: |
| 为了解北京草莓种植区土壤微生物组群落动态与土壤质量的关系，本研究利用高通量测序，系统分析北京地区草莓根际微生物组。结果显示，微生物群落结构分布具有明显的区域性，磷元素和钾元素是影响草莓根际菌群组成最主要的因子；扩增子测序分析表明，健康植株比发病植株根际土壤微生物群落结构更稳定；网络分析发现了潜在的与草莓土壤健康相关的菌属，发病样品中链霉菌属（Streptomyces）和芽胞杆菌属（Bacillus）占据重要位置。进一步对比健康草莓与发病根际微生物组成的差异，探究了病害发生与根际微生物群落变化之间的规律，并通过构建相关性网络发现了潜在的病害防治菌属，为北京草莓土传病害预警和防控奠定了基础。 |
| 关键词: 扩增子测序 微生物组 草莓枯萎病 根际微生物 土壤理化性质 |
| DOI：10.14188/j.ajsh.2024.01.001 |
| 分类号:Q939.96 |
| 基金项目:特色作物产业技术体系北京市创新团队（BAIC04-2023）；北京市乡村振兴科技项目（BJXCZX2022） |
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| Analysis of soil microbial community structure in strawberry planting areas in Beijing |
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ZENG Wen1, LI Qiang2, MA Yinan1, MA Rong1, ZHANG Xiaoxia1, LI Shigui1, WEI Hailei1, GU Yilin1
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1.State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China， Key Laboratory of Microbial Resources Collection and Preservation， Ministry of Agriculture and Rural Affairs， Institute of Agricultural Resources and Regional Planning， Chinese Academy of Agricultural Sciences， Beijing 100081， China;2.Shandong TDCU Fertilizer Industry Co. Ltd.， Jining 272300， Shandong， China
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| Abstract: |
| To understand the relationship between soil microbial community dynamics and soil quality in strawberry planting areas in Beijing， this study used high-throughput sequencing to systematically analyze the rhizosphere microbiome of strawberries in the Beijing area. The results showed that the microbial composition has obvious regional characteristics， and phosphorus and potassium elements are the most important factors affecting the composition of strawberry rhizosphere microbiota. Amplicon sequencing analysis showed that healthy plants have more stable microbial community structure in the rhizosphere soil than diseased plants. Network analysis identified potential bacterial genera associated with strawberry soil health， with Streptomyces and Bacillus occupying significant positions in the diseased samples. We further compared the differences in rhizosphere microbial composition between healthy and diseased strawberries， explored the patterns between disease occurrence and changes in rhizosphere microbial communities， and identified potential disease control genera by constructing co-occurrence networks. This study lays the foundation for early warning and prevention of soilborne strawberry diseases in Beijing. |
| Key words: amplicon sequencing microbiome strawberry fusarium wilt rhizosphere microorganism soil physiochemical property |
