生态环境学报Issue(5)：797-803,7.DOI:10.16258/j.cnki.1674-5906.2015.05.012
基于实时荧光定量PCR技术对不同盐碱程度土壤甲烷氧化菌比活性的研究
Specific Activity of Methanotrophs in Saline-Alkaline Soils Retrieved from A Fluorescent Quantitative Real-time PCR Technique
摘要
Abstract
In order to explore the relationship between Specific Activity of methanotrophs and methane uptake rate in different levels of saline-alkaline soils, most studies on CH4 uptake potential in saline-alkaline soils are limited to confined field trials. In methanotrophs culture experiments, we used fluorescent quantitative real-time PCR technique to investigate CH4 uptake rate and methanotrophs specific activity in three saline-alkaline soils:slightly saline soil (SA), severely saline soil (SB), saline soil (SC). The recombinant plasmid containing pmoA gene was used as standards to optimize the experimental conditions and generate a standard curve. The correlation coefficient (r2) of the standard curve was 0.997 7 and the amplification efficiency was 86%. The dissocition curves of the real time qPCR demonstrated uniform peaks. The results showed that CH4 uptake rates of SA, SB and SC were negatively related to soil salinity, i.e., SA>SB>SC. Soil CH4 uptake rate increased with the growth of specific activity, showing a significant positive correlation (r=0.788, P=0.012, n=9). Monte Carlo test showed that methanotrophs specific activity was significantly negatively correlated with pH (r=-0.943, P=0.000 1) and EC (r=-0.895, P=0.001), while correlations between methanotrophs specific activity and bulk density(ρb), total phosphorus(TP), total nitrogen(TN) and organic carbon(OC) were insignificant (P>0.05). Saline-alkaline soils of high pH and EC appeared to have lower methanotrophs specific activity and CH4 uptake rates.关键词
盐碱土壤/PCR/甲烷氧化菌/吸收速率/比活性Key words
saline-alkaline soils/PCR/methanotrophs/methane uptake rate/specific activity分类
资源环境引用本文复制引用
杨铭德,焦燕,李新,温慧洋..基于实时荧光定量PCR技术对不同盐碱程度土壤甲烷氧化菌比活性的研究[J].生态环境学报,2015,(5):797-803,7.基金项目
国家自然科学基金项目（41165010；41375144）；2013内蒙古高等学校“青年科技英才”支持计划资助（NJYT-13-B06）；内蒙古师范大学研究生科研创新基金项目 （）
