干旱区研究 ›› 2024, Vol. 41 ›› Issue (7): 1195-1206.doi: 10.13866/j.azr.2024.07.11

• 植物生态 • 上一篇    下一篇

青海大通北川河源区典型植被土壤微生物群落结构特征及影响因素

崔国龙1(), 李强峰1(), 高英2, 刘维军2, 张梅2   

  1. 1.青海大学农牧学院,青海 西宁 810016
    2.青海大通北川河源区国家级自然保护区管理局,青海 西宁 810100
  • 收稿日期:2024-01-25 修回日期:2024-06-04 出版日期:2024-07-15 发布日期:2024-08-01
  • 通讯作者: 李强峰. E-mail: 1324985124@qq.com
  • 作者简介:崔国龙(2000-),男,硕士研究生,主要从事高寒森林土壤生态研究. E-mail: cgl_0917@163.com
  • 基金资助:
    青海省“昆仑英才·科技领军人才”培养项目(青人才字〔2022〕1号);2022年第一批中央林业改革发展资金青海大通北川河源区国家级自然保护区及其周边湿地保护与恢复项目(大北保〔2022〕24号)

Characteristics of soil microbial communities structure and influencing factors in typical vegetation in the Beichuan River Source Area of Datong, Qinghai

CUI Guolong1(), LI Qiangfeng1(), GAO Ying2, LIU Weijun2, ZHANG Mei2   

  1. 1. College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, Qinghai, China
    2. National Nature Reserve Administration of Beichuan-River-Source of Datong, Qinghai, Xining 810100, Qinghai, China
  • Received:2024-01-25 Revised:2024-06-04 Online:2024-07-15 Published:2024-08-01

摘要:

为探究高原森林生态系统典型植被下土壤微生物群落变化特征,以青海大通北川河源区自然保护区为例,对6种典型植被(白桦、青杨、青海云杉、华北落叶松、金露梅、草地)0~20 cm深的土壤为研究对象,采用Illumina NovaSeq测序方法测定土壤微生物群落组成及多样性,化学分析法测定土壤理化性质指标。结果表明:(1) 6种植被样地中共得到细菌39门、785属、1651种,真菌17门、439属、559种,共有菌物种数均小于特有菌。6种植被土壤优势细菌门均为变形菌门(Proteobacteria)、放线菌门(Actinobacteriota)和酸杆菌门(Acidobacteriota),土壤优势真菌门为担子菌门(Basidiomycota)和子囊菌门(Ascomycota)。(2) 6种植被细菌群落间差异较大,青杨细菌群落的α多样性最高;真菌群落间存在相似性,白桦真菌群落的α多样性最高。(3) 细菌门水平上,土壤pH与脱硫杆菌门(Desulfobacterota)显著负相关(P<0.05);有机质、全氮与变形菌门呈极显著正相关(P<0.01)。真菌门水平上,土壤pH与根肿黑粉菌门(Entorrhizomycota)呈显著负相关(P<0.05);有机质、全氮与捕虫霉门(Zoopagomycota)呈极显著正相关(P<0.01),与球囊菌门(Glomeromycota)呈显著负相关(P<0.05)。土壤pH是影响土壤细菌和真菌群落变化的关键环境因子。

关键词: 微生物群落, 微生物多样性, 植被类型, 青海高寒区

Abstract:

This study aimed to investigate changes characteristics of soil microbial communities under typical vegetation in plateau forest ecosystems; a case study was undertaken the Beichuan River source area National Nature Reserve of Datong, Qinghai. This study analyzed 0-20 cm soil samples from six different vegetation species (Betula platyphylla, Populus cathayana, Picea crassifolia, Larix gmelinii var. principis-rupprechtii, Dasiphora fruticosa, and alpine meadow). The composition and diversity of soil microbial communities were determined using Illumina NovaSeq sequencing, and soil physicochemical properties were measured via chemical analyses. The study investigated the correlation between soil microbial communities and soil physical and chemical properties as well as identified factors driving the changes in soil microbial communities. The results revealed the presence of 39 phyla, 785 genera, and 1651 species of bacteria and 17 phyla, 439 genera, and 559 species of fungi in the six vegetation samples. The total number of common microorganisms was lower than the specific one. The six vegetation soils were dominated by Proteobacteria, Actinobacteriota, and Acidobacteriota as well as by Basidiomycota and Ascomycota fungal phyla. The bacterial communities of the six vegetation species exhibited significant differences in alpha diversity, with the highest diversity observed in the Populus cathayana Rehder bacterial community. Conversely, the fungal communities showed similarities, with the Betula platyphylla fungal community exhibiting the highest alpha diversity. The correlation between soil microbial communities and soil physicochemical properties was analyzed. At the bacterial phylum level, a significant negative correlation was found between soil pH and Desulfobacterota (P<0.05). Additionally, soil organic matter and total nitrogen contents were found to be highly significantly positively correlated with Ascomycota (P<0.01). At the fungal phylum level, a significant negative correlation was observed between soil pH and Entorrhizomycota (P<0.05). Soil organic matter and total nitrogen contents were highly significantly positively correlated with Zoopagomycota (P<0.01) and significantly negatively correlated with Glomeromycota (P<0.05). Soil pH is a key environmental factor that affects the changes in soil bacterial and fungal communities.

Key words: microbial community, microbial diversity, vegetation type, Qinghai alpine region