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林业科学 ›› 2024, Vol. 60 ›› Issue (5): 139-150.doi: 10.11707/j.1001-7488.LYKX20220629

• 研究论文 • 上一篇    下一篇

北京松山林地nirK型反硝化微生物群落立地及林型效应

祝琳1,聂立水1,史策1,黄梦遥1,牛鑫1,张润哲1,张兆德1,魏一凡1,王登芝1,杨昊2,聂浩亮3,王江4,薄慧娟5   

  1. 1. 北京林业大学 森林培育与保护教育部重点实验室 北京 100083
    2. 珠海市自然资源局 珠海 519000
    3. 河北农林科学院农业资源与环境研究所 石家庄 050051
    4. 成都市青白江区农业农村局 成都 610300
    5. 山西农业大学资源环境学院 晋中 030000
  • 收稿日期:2022-09-13 出版日期:2024-05-25 发布日期:2024-06-14
  • 基金资助:
    北京市科委对接国家2030京津冀环境综合治理重大工程项目(Z181100005318004)

Effects of Soil Properties and Stand Factors on nirK-Denitrifying Microbial Community in Songshan, Beijing

Lin Zhu1,Lishui Nie1,Ce Shi1,Mengyao Huang1,Xin Niu1,Runzhe Zhang1,Zhaode Zhang1,Yifan Wei1,Dengzhi Wang1,Hao Yang2,Haoliang Nie3,Jiang Wang4,HuiJuan Bo5   

  1. 1. Beijing Forestry University Key Laboratory for Silviculture and Conservation of Ministry of Education Beijing 100083
    2. Zhuhai Municipal Bureau of Natural Resources Zhuhai 519000
    3. Institute of Agricultural Resources and Environment, Hebei Academy of Agriculture and Forestry Science Shijiazhuang 050051
    4. Agriculture and Rural Bureau of Qingbaijiang District of Chengdu Chengdu 610300
    5. College of Resource & Environment, Shanxi Agricultural University Jinzhong 030000
  • Received:2022-09-13 Online:2024-05-25 Published:2024-06-14

摘要:

目的: 探究北京松山林地土壤nirK型反硝化微生物群落特征及影响因子,为华北暖温带森林土壤生态系统氮循环过程和环境变化提供依据。方法: 在北京松山国家级自然保护区选择油松林、山杨林、蒙古栎林3种典型林型,分别设置3块(20 m× 20 m)标准地进行调查,采集0~20 cm表层混合土样,分析土壤性质并提取土壤微生物总DNA,PCR扩增反硝化过程关键酶亚硝酸盐还原酶的编码基因nirK片段,采用第2代高通量测序分析不同林型土壤nirK型反硝化微生物群落组成和多样性,探究林型和土壤性质对反硝化微生物群落特性的影响。结果: 1) 从油松林、山杨林和蒙古栎林9个土壤样本中共得到nirK基因有效序列993401条、优质序列770328条。3种林型土壤nirK基因共检测出7门78属,在已鉴定的微生物中各林型优势菌为变形菌门,其相对丰度在3种林型中均达50%,在油松林中最高为58.2%;优势属主要为慢生根瘤菌属、中生根瘤菌属和红假单胞菌属,总相对丰度达50%以上,其中核心菌属为慢生根瘤菌属。2) nirK型反硝化微生物α多样性分析显示,油松林Shannon(7.59±0.56)、Simpson(0.98±0.01)、Chao1(2164.24±214.08)指数均显著高于山杨林(5.23±0.26、0.89±0.02、1650.56±136.69)和蒙古栎林(5.76±0.38、0.93±0.02、1621.36±156.70)(P<0.05)。基于Bray-Curtis距离算法并采用PCoA分析显示,不同林型土壤反硝化微生物群落组间差异大于组内。3) 林分因子、土壤性质与土壤反硝化微生物的冗余分析结果表明,土壤碱解氮、硝态氮和有机质等土壤性质是影响nirK型反硝化微生物群落组成的关键因子(P<0.05)。结论: 北京松山油松林、山杨林和蒙古栎林土壤nirK型反硝化微生物群落组成、多样性存在明显差异,林型与碱解氮、硝态氮和有机质等土壤性质是影响土壤nirK型反硝化微生物群落特征的重要因素。

关键词: 华北暖温带, 林型, nirK基因, 反硝化微生物, 微生物群落组成, 微生物群落多样性

Abstract:

Objective: This work aims to explore the traits and influence factors of soil nirK-type denitrifying microbial community in different forests in Songshan, Beijing, providing novel insights into the nitrogen cycling process and environmental change of forest soil ecosystem in the warm temperate forest soil ecosystem of North China. Method: Three typical forest types of Pinus tabuliformis, Populus davidiana and Quercus mongolica were selected in the Songshan Nature Reserve of Beijing. Three standard sample plots (20 m×20 m) were set up in each forest type for investigation. The 0?20 cm surface mixed soil samples were collected to analyze soil properties, and extract total soil microbial DNA, PCR was used to amplify nirK gene coding the key enzyme, nitrate reductase, in the denitrification process. The second generation high-throughput sequencing was used to analyze the composition and diversity of soil denitrifying microbial communities in the different forest types, and to explore the effects of soil properties on the characteristics of denitrifying microbial communities. Pearson’s correlation analysis and redundancy analysis (RDA) were used to examine the soil properties factors influencing the trait of denitrifying microbial community. Result: 1) A total of 993 401 effective sequences with 770 328 high-quality sequences of nirK gene were obtained by high-throughput sequencing from 9 soil samples in P. tabuliformis forest, P. davidiana forest and Q. mongolica forest. There were 7 phyla and 78 genera of nirK gene detected in the soil of three different forest types. Among the identified microorganisms, the dominant bacteria of soil nirK denitrification microorganisms in the three forests were Proteobacteria, with the relative abundance of 50% in the three forest types, and the highest of 58.2% in the P. tabuliformis forest. The dominant genera were Bradyrhizobium, Mesorhizobium and Rhodopseudomonas, with a total relative abundance of more than 50%, among which the core genus was Bradyrhizobium. 2) The analysis of alpha diversity of nirK denitrifying microorganisms showed that the Shannon, Simpson and Chao1 diversity index of nirK-type denitrifying microorganisms in P. tabuliformis forest (7.59±0.56, 0.98±0.01, 2 164.24±214.08) were significantly higher than those in P. davidiana forest (5.23±0.26, 0.89±0.02, 1 650.56±136.69) and Q. mongolica forest (5.76±0.38, 0.93±0.02, 1 621.36±156.70) (P<0.05). Based on Bray-Curtis distance algorithm and PCoA analysis, the difference among soil denitrifying microbial communities in different forest types was greater than that within the community. 3) Redundancy analysis showed that soil alkali hydrolyzable nitrogen, nitrate nitrogen and soil organic matter were the key factors that significantly affected the composition of the nirK-type denitrifying microbial community (P<0.05). Conclusion: There are obvious differences in the composition and diversity of soil nirK-type denitrifying microbial communities among P. tabuliformis forest, P. davidiana forest and Q. mongolica forest in the warm temperate zone of North China. Forest types and soil properties such as alkali hydrolyzable nitrogen, nitrate nitrogen and soil organic matter are important factors affecting the traits of soil nirK-type denitrifying microbial communities.

Key words: warm temperate zone of north China, forest type, nirK gene, denitrifying microorganism, microbial community composition, microbial community diversity

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