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Effects of different vegetation on soil microorganisms and carbon cycling genes in mining areas
Received:March 04, 2024  
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KeyWord:coal mining areas;vegetation type;soil enzyme activity;microbial community;carbon cycle;functional gene
Author NameAffiliationE-mail
BAI Yiwei College of Resources and Environment, Northwest A&F University, Yangling 712100, China  
LIU Changyue Shenmu Hongliulin Mining Co., Ltd., Shenmu 719300, China  
YUAN Jianqiang Shenmu Hongliulin Mining Co., Ltd., Shenmu 719300, China  
LI Pengfei College of Resources and Environment, Northwest A&F University, Yangling 712100, China  
GUO Qiao College of Resources and Environment, Northwest A&F University, Yangling 712100, China  
WANG Xudong College of Resources and Environment, Northwest A&F University, Yangling 712100, China  
LAI Hangxian College of Resources and Environment, Northwest A&F University, Yangling 712100, China laihangxian@163.com 
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Abstract:
      In order to clarify the microbial community characteristics under different vegetation types in Hongliulin coal mine, and to explore the influence of soil microbes and carbon cycle functional genes in the mining area by vegetation types. In this study, we selected three typical vegetation types of herbaceous(C), shrubs(G)and grass-shrub mixed(CG)soils(0-20 cm), rhizosphere soils(20-60 cm) and deep soils(60-100 cm)in the Hongliulin coal mine area of Shenmu, northern Shaanxi Province, to determine soil physicochemical properties and enzyme activities, and analyse changes in microbial community structure and carbon cycle functional gene abundance by means of high-throughput 16S rDNA, ITS rDNA sequencing and macro-genome sequencing technologies. The changes in microbial community structure and abundance of carbon cycle genes were analysed with the help of 16S rDNA, ITS rDNA high-throughput sequencing and macro-genome sequencing technologies. Results showed different vegetation types significantly affected the physicochemical properties and enzyme activities of the degraded soils in the mining area. The hydrolytic enzymes were higher in the shrub type, while the oxidoreductase enzymes were highest in the grass-shrub mixed type. Microbial α-diversity varied significantly among different vegetation types and depths, while microbial β-diversity and the relative abundance of species at the gate level varied significantly. Different vegetation types may affect the abundance of functional genes in the carbon cycle process by influencing the indicators of physical and chemical properties such as TN, AP, AK, sucrase activity, and the indicators of organic carbon fractions such as POC, ROC, and MBC. The study showed different vegetation types in the coal mine area of northern Shaanxi have significant effects on the soil microbial community structure and carbon cycle process-related functional genes, and the shrub type dominated by red willow is more suitable for improving the microbial structure and carbon cycle in the coal mine area.