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生态学杂志 ›› 2025, Vol. 44 ›› Issue (12): 3970-3977.doi: 10.13292/j.1000-4890.202512.013

• 研究报告 • 上一篇    下一篇

随机性过程主导贺兰山青海云杉根围土壤细菌群落组装

赵育嘉1,2,杨雨泽1,2,李越1,2,郝珂1,2,李营刚3,李敏1,2*   

  1. 1内蒙古师范大学生命科学与技术学院, 呼和浩特 010022; 2内蒙古自治区高等学校蒙古高原生物多样性保护与可持续利用重点实验室, 呼和浩特 010022; 3内蒙古师范大学地理科学学院, 呼和浩特 010022)
  • 出版日期:2025-12-10 发布日期:2025-12-05

Stochastic processes dominated the bacterial community assembly in rhizosphere soil of Picea crassifolia in Helan Mountain.

ZHAO Yujia1,2, YANG Yuze1,2, LI Yue1,2, HAO Ke1,2, LI Yinggang3, LI Min1,2*   

  1. (1College of Life Science and Technology, Inner Mongolia Normal University, Hohhot 010022, China; 2Key Laboratory of Biodiversity Conservation and Sustainable Utilization of Mongolian Plateau, Inner Mongolia Autonomous Region, Hohhot 010022, China; 3College of Geography, Inner Mongolia Normal University, Hohhot 010022, China).

  • Online:2025-12-10 Published:2025-12-05

摘要: 为了解青海云杉(Picea crassifolia)根围土壤细菌多样性以及对环境变化的响应,揭示青海云杉适应高寒与干旱逆境的土壤微生物组作用机制,利用Illumina Miseq高通量测序技术,分析了青海云杉根围土壤细菌的群落组成。结果表明:在门水平上,变形菌门(Proteobacteria)、放线菌门(Actinobacteria)和酸杆菌门(Acidobacteria)为主要优势菌,相对丰度分别为34.9%、28.0%和13.9%。在属水平上,鞘氨醇单胞菌属(Sphingomonas,4.5%)、RB41(3.0%)和慢生根瘤菌属(Bradyrhizobium,3.0%)的相对丰度均超过1.0%,为优势属。对细菌群落的α多样性分析表明,随着海拔的升高,细菌多样性和丰富度逐渐增高。对细菌群落的共现网络分析表明,网络的模块化指数为0.939,说明细菌群落具有较高的模块化水平。对细菌群落组装过程的分析表明,随机性过程占70.4%,说明青海云杉根围土壤细菌群落的生态构建以随机性过程为主导。


关键词: 细菌群落, 共现网络, 随机性组装过程, 青海云杉

Abstract: To understand the diversity of soil bacteria in the rhizosphere of Picea crassifolia and its response to environmental changes, and to reveal the mechanism of soil microbiome of P. crassifolia in adapting to alpine and drought stress, Illumina Miseq high-throughput sequencing technology was used to analyze the community composition of soil bacteria. The results showed that Proteobacteria, Actinobacteria and Acidobacteria were the main dominant phyla, with relative abundances of 34.9%, 28.0% and 13.9%, respectively. At the genus level, the relative abundances of Sphingomonas (4.5%), RB41(3.0%) and Bradyrhizobium (3.0%) were more than 1.0% and were the dominant genera. The bacterial diversity and richness increased with the increasing altitude. The analysis of the co-occurrence network of bacterial communities showed that the modularity index of the network was 0.939, indicating a high modularity level. Stochastic processes accounted for 70.4% of assembly processes, indicating that the ecological construction of the bacterial community in the rhizosphere soil of P. crassifolia was dominated by the stochastic processes.


Key words: bacterial community, co-occurrence network, stochastic assembly process, Picea crassifolia