文献类型：期刊文献

中文题名：神农架国家公园不同植被类型土壤微生物群落结构及功能

英文题名：Soil microbial community structure and function under different vegetation types in Shennongjia National Park

作者：李劲[1] 程铭昊[1] 张溢[1] 刘峰[2] 姜庆虎[2] 叶基荣[3] 陈展[1] 张于光[1]

第一作者：李劲

机构：[1]中国林业科学研究院森林生态环境与自然保护研究所,生物多样性保护国家林业和草原局重点实验室,北京100091;[2]中国科学院武汉植物园,武汉430074;[3]云南大学国际河流与生态安全研究院,昆明650500

年份：2025

卷号：45

期号：10

起止页码：4842-4854

中文期刊名：生态学报

外文期刊名：Acta Ecologica Sinica

收录：;北大核心:【北大核心2023】；

基金：神农架国家公园本底资源综合调查研究项目(SNJNP2023010);神农架金丝猴保育生物学湖北省重点实验室开放课题基金(SNJGKL2023010)。

语种：中文

中文关键词：优势树种;土壤微生物群落结构;功能预测;分子生态网络分析;影响因素

外文关键词：dominant tree species;soil microbial community structure;functional prediction;molecular ecological network;influencing factors

分类号：S714.3

摘要：探究不同植被类型下土壤微生物的群落与功能差异对于理解土壤生态功能具有重要的科学意义,有助于揭示植被与土壤微生物群落间的相互作用机制。在神农架国家公园选择海拔相近、分布广泛且受到人类活动干扰较少华山松(Pinus armandii)为优势树种的针叶林和以锐齿槲栎(Quercus aliena var.acuteserrata)为优势树种的落叶阔叶林,基于高通量测序技术研究不同植被类型对土壤微生物的影响。结果表明:(1)不同植被类型下,土壤细菌优势门类中芽孢杆菌门、放线菌门和酸杆菌门,以及土壤真菌优势门类子囊菌门和担子菌门的相对丰度均存在显著差异(P<0.05);华山松林的土壤真菌Shannon指数显著高于锐齿槲栎林(P<0.05)。(2)功能预测显示微生物功能群相对丰度存在较大差异,其中华山松林土壤中化能异养型等功能群相对丰度显著高于锐齿槲栎林(P<0.001),而固氮功能群相对丰度显著低于锐齿槲栎林(P<0.05);华山松林土壤的植物腐生菌和木材腐生菌相对丰度显著高于锐齿槲栎林(P<0.001),而外生菌根的相对丰度显著低于锐齿槲栎林(P<0.001)。(3)分子生态网络分析表明,锐齿槲栎林的土壤细菌和真菌群落在网络节点、连接数、平均度数和模块度方面均高于华山松林。(4)Partial Mantel分析表明,土壤速效磷和植物Shannon指数对土壤细菌群落影响最大(P<0.01),而植物Shannon指数和物种丰富度对土壤真菌群落影响最大(P<0.01),细菌和真菌的功能群最大影响因子是土壤pH(P<0.001);偏最小二乘路径模型(PLS?PM)结果表明,土壤pH可能通过影响速效磷、全氮、有机碳等土壤养分,进而影响植物Shannon指数和物种丰富度。因此,不同植被类型对土壤微生物的群落结构和功能存在显著影响,主要受土壤pH、速效磷和植物多样性的影响,本研究结果对深入理解森林生态系统中植物-土壤-微生物的互作机制提供重要依据。
Exploring the variations of soil microbial community structure and function under different vegetation types is of great scientific significance for understanding soil ecological functions,and helps to reveal the interaction mechanism between vegetation and soil microbial communities.In this study,two typical vegetation types were selected with similar altitude,wide distribution,and less interference from human activities in Shennongjia National Park,including coniferous forest dominated by Pinus armandii and deciduous broad?leaved forest dominated by Quercus aliena var.acuteserrata,and analyzed the effects of different vegetation types on soil microorganisms based on high?throughput sequencing and molecular ecological network analysis techniques.The study results indicated that:(1)There were significant variations in the relative abundance of dominant soil bacterial phyla,including Bacillota,Actinobacteria,and Acidobacteria,among different vegetation types(P<0.05).Similarly,significant variations were observed in the relative abundances of the dominant soil fungal phyla,Ascomycota and Basidiomycota,across vegetation types(P<0.05).Additionally,the soil fungal Shannon index in P.armandii forests being markedly higher than in Q.aliena forests(P<0.05).(2)Functional prediction of the soil microbial communities showed that the relative abundance of soil chemoheterotrophic bacteria was significantly higher in P.armandii forest soils compared to Q.aliena forests(P<0.001),while the relative abundance of soil nitrogen?fixing bacteria was significantly lower(P<0.05).In the fungal communities of P.armandii forests,the relative abundance of plant saprotrophs and wood saprotrophs was significantly higher(P<0.001),whereas the relative abundance of ectomycorrhizal fungi was significantly lower(P<0.001).(3)Molecular ecological network analysis indicated that the soil microbial community in Q.aliena forests had higher network total nodes,total links,average degree,and modularity compared to P.armandii forests.(4)Partial Mantel tests revealed that soil available phosphorus and the Shannon index of plant diversity exerted the strongest influence on soil bacterial communities(P<0.01),whereas the plant Shannon index and species richness had the most significant influence on soil fungal communities(P<0.01).Soil pH had the greatest influence on both bacterial and fungal functional groups(P<0.001).Partial least squares path modeling(PLS?PM)results indicated that soil pH might indirectly influence the plant Shannon index and species richness by affecting soil nutrients such as available phosphorus,total nitrogen,and organic carbon,which in turn influence microbial Shannon index and species richness(P<0.05).In conclusion,this study demonstrates significant differences in soil microbial community structure and function between different vegetation types,primarily driven by soil pH,available phosphorus,and plant diversity.These findings have important implications for understanding the plant?soil?microbe interaction mechanisms in forest ecosystems.