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石油污染土壤微生物群落结构与分布特性研究
摘要点击 3015  全文点击 1246  投稿时间:2012-05-07  修订日期:2012-07-12
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中文关键词  PCR-DGGE  系统发育树  石油污染水平  微生物群落结构  优势菌属
英文关键词  PCR-DGGE  phylogenetic tree  oil pollution levels  microbial community structure  dominant species
作者单位E-mail
杨萌青 清华大学环境学院,北京 100084 ymqing1989@qq.com 
李立明 清华大学环境学院,北京 100084  
李川 清华大学环境学院,北京 100084  
李广贺 清华大学环境学院,北京 100084
环境模拟与污染控制国家重点联合实验室,北京 100084 
ligh@tsinghua.edu.cn 
中文摘要
      针对污染胁迫下土壤微生物群落结构与分布问题,基于PCR-DGGE分析与系统发育树等现代分子生物学分析方法,探讨典型油田区石油污染土壤微生物群落结构特征,污染水平与微生物群落分布的关系.结果表明,污染土壤石油含量的差异是造成微生物群落结构相似度差异的主要因素; 微生物群落结构相似性指数与土壤石油污染水平具有显著相关性; 随着土壤污染程度的增加,微生物群落的均匀度指数降低,菌属分布不均匀,表现出土壤微生物群落结构和种属的污染胁迫与分异现象; 石油污染土壤中存在明显的优势菌属:GulosibacterHalomonasPetrobacterMethylocystisPseudoalteromonas. 本研究结果为认识石油污染土壤微生物特性提供基础.
英文摘要
      Molecular biology methods such as PCR-DGGE combined with phylogenetic analysis were used for the soil microbial community structure and distribution profiling. Relationship of microbial community structure and distribution differed in a typical oil contaminated field was studied. Results showed that soil oil content was the main factor to the difference of microbial community structure similarity. The similarity index of microbial community structure and oil content had a significantly negative correlation. The contaminated soil microorganism genus had an uneven distribution. Thus, soil pollution had obvious stress and differentiation for microbial community structure and species relationship. Dominant species in oil contaminated soil were identified as Gulosibacter, Halomonas, Petrobacter, Methylocystis, and Pseudoalteromonas. The findings provide a basis for understanding the microbial characteristics of oil contaminated soil.

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