生物技术通报 ›› 2017, Vol. 33 ›› Issue (10): 209-216.doi: 10.13560/j.cnki.biotech.bull.1985.2017-0296

• 研究报告 • 上一篇    下一篇

大青山不同树种根围土壤酶活性与微生物群落丰度的研究

张星1, 4, 李敏3, 4, 姚庆智1, 4, 铁英4, 魏杰2, 4, 陈丽霞1   

  1. 1. 内蒙古农业大学生命科学学院,呼和浩特 010018
    2. 内蒙古农业大学林学院,呼和浩特 010018
    3. 内蒙古师范大学生命科学与技术学院,呼和浩特 010022
    4. 内蒙古和盛生态科技研究院有限公司,呼和浩特 011517
  • 收稿日期:2017-04-11 出版日期:2017-10-29 发布日期:2017-10-29
  • 作者简介:张星,女,硕士,研究方向:应用与环境微生物;E-mail:874958074@qq.com
  • 基金资助:
    内蒙古自治区高等学校科学研究项目(NJZY14097),呼和浩特市科技计划项目(重大科技专项)(2015-重-社-1)

Enzyme Activities and Microbial Abundance of Rhizosphere Surrounding Different Tree Species in Daqing Mountain

ZHANG Xing1,4, LI Min3,4, YAO Qing-zhi1,4, TIE Ying4, WEI Jie2,4, CHEN Li-xia1   

  1. 1. Life College of Inner Mongolia Agriculture University,Huhhot 010018
    2. Forestry College of Inner Mongolia Agriculture University,Huhhot 010018
    3. Life Science and Technology College of Inner Mongolia Normal University,Huhhot 010022
    4. Inner Mongolia and Ecological Science and Technology Research Institute Co.,Ltd.,Huhhot 011517
  • Received:2017-04-11 Published:2017-10-29 Online:2017-10-29

摘要: 针对大青山山地森林不同树种的根围土壤,探讨微生物丰度与土壤酶活性之间的联系以及受控因子。利用荧光实时定量PCR方法研究不同树种土壤微生物丰度的变化情况,分析土壤β-葡萄糖苷酶(βG)、N-乙酰氨基葡萄糖苷酶(NAG)和过氧化物酶(Pod)活性以及土壤理化性质的变化趋势。采用主成分分析(PCA)和皮尔森相关性分析方法研究土壤理化因子对土壤微生物群落丰度的影响。结果显示,土壤理化性质和微生物细菌、真菌群落丰度从春季到秋季均显著增高,如有机碳、全氮、微生物量碳和氮数量及细菌、真菌丰度等;大青山森林土壤βG、Pod酶活性夏季较高,而NAG酶活性秋季较高。皮尔森相关性分析表明大青山不同树种土壤酶活性与土壤微生物丰度有明显的相关性。与NAG酶活性极显著正相关(P<0.05);与Pod酶活性呈极显著负相关(P<0.05);而βG只与细菌群落丰度呈极显著负相关(P<0.05)。土壤理化因子(有机碳、全氮、微生物量碳氮)与土壤微生物群落丰度均表现为极显著正相关。主成分分析认为,土壤有机碳、全氮、微生物量碳和氮、细菌和真菌群落丰度、N-乙酰氨基葡萄糖苷酶等可作为影响不同树种根围土壤养分特性的重要因子。在大青山山地森林生态系统,不同树种对土壤理化指标、土壤微生物丰度和土壤酶活性影响较大,并且随着季节变化响应较强。理化指标和土壤微生物群落丰度是调控大青山森林植被根围土壤微生物群落的主要生态因子。

关键词: 大青山, 森林, 土壤酶活性, 微生物群落丰度

Abstract: This study aims to find the correlation between soil microbial abundance and enzyme activities of rhizosphere around different tree species in forest of the Daqing Mountain and its key factors. Real-time qPCR was used to study the variations of soil microbial abundance(bacteria and fungi)around the rhizosphere of different species,and analyzed the changing trend of three soil enzyme activities(β-glucosidase(βG),N-acetyl glucosidase(NAG)and peroxidase(Pod)and soil physicochemical properties. Principal component analysis(PCA)and Pearson correlation analysis were applied to investigate the impacts of soil physicochemical factors on the soil microbial abundance. As results,soil physicochemical properties and microbial bacteria and fungi community abundances had significant increases from spring to autumn,such as organic carbon(TOC),total nitrogen(TN),microbial biomass carbon(WC)and nitrogen(WD)as well as bacteria and fungi abundances,etc. The forest soil βG enzymes and Pod activity in Daqing Mountain was higher in summer,while NAG enzyme activity was higher in the fall. Pearson correlation analysis showed that soil microbial abundance and soil enzyme activities of different tree species in forest in the Daqing Mountain had obvious correlation,significantly positive correlation with βG enzymes activity(P < 0.05),very significantly negative correlation with Pod activity(P < 0.05),and very significantly negative correlation with βG enzyme activity(P < 0.05). Soil physicochemical factors(TOC,TN and WC and WD)and soil microbial abundance had significantly positive correlation. It was inferred from principal component analysis,that TOC,TN,WC and WD,bacterial and fungal community abundance,and NAG can be used as the important influencing factors of the rhizosphere soil nutrient characteristics surrounding different tree species. The different tree species in Daqing Mountain forest ecosystem had profound influences on soil physicochemical index,soil microbial abundance and soil enzyme activities,and presented the strong responses with the season changing. Physicochemical index and soil microbial community abundance are the main ecological factors regulating the microbial community of rhizosphere soil in the forest and vegetation of Daqing Mountain.

Key words: Daqing Mountain, forest, soil enzyme activities, microbial community abundance