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长期石油污染对盐碱化土壤中微生物群落分子生态网络的影响
摘要点击 2471  全文点击 1168  投稿时间:2016-03-19  修订日期:2016-04-06
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中文关键词  微生物相互作用  石油污染  分子生态网络  功能基因  盐碱化土壤
英文关键词  microbial interaction  oil contamination  molecular ecological network  functional genes  saline-alkali soils
作者单位E-mail
赵慧慧 常州大学环境与安全工程学院, 常州 213164 yuke621@sina.com 
肖娴 中国科学院南京土壤研究所, 土壤与农业可持续发展国家重点实验室, 南京 210008
中国科学院大学, 北京 100049 
 
裴孟 常州大学环境与安全工程学院, 常州 213164  
赵远 常州大学环境与安全工程学院, 常州 213164  
梁玉婷 中国科学院南京土壤研究所, 土壤与农业可持续发展国家重点实验室, 南京 210008 ytliang@issas.ac.cn 
中文摘要
      长期石油污染改变了土壤微生物群落组成,降低了群落多样性,对生态系统造成严重的威胁.为了探讨长期石油污染对盐碱化土壤中微生物物种间相互作用关系的影响,采集胜利油田石油污染土壤和未污染土壤,利用随机矩阵方法构建分子生态网络.结果发现,污染土壤和未污染土壤中微生物功能基因组的分子生态网络存在显著差异(P<0.001).与未污染土壤相比,污染土壤的网络节点数、连接数、平均连通度、模块数和模块性都显著降低,说明在石油污染的影响下土壤微生物网络拓扑结构发生变化;污染土壤和未污染土壤的模块枢纽基因、连接器基因均没有重叠,模块枢纽基因和连接器基因的网络拓扑角色发生了变化.通过构建烷烃、多环芳烃降解基因网络,发现负相互作用的比例较大,这可能反映了微生物功能群落间的竞争关系.
英文摘要
      Long-term oil contamination alters the structures of soil microbial communities, as well as decreases the community diversity, posing a great threat to the ecosystem. To determine the possible influence of long-term oil contamination on microbial interactions in saline-alkali soils, microbial functional molecular ecological networks were studied in both contaminated and uncontaminated soils from Shengli oil field by constructing random networks based on null model. The results demonstrated that the overall networks were significantly different between contaminated and uncontaminated soils (P<0.001). Network size, links, average connectivity, modules and modularity were all decreased in soil with oil contamination, indicating that oil contamination altered the topological structure of microbial functional molecular ecological network. Module hub and connectors were different in contaminated and uncontaminated soils. The topological roles of the genes (module hub and connectors) were altered by oil contamination. Sub-networks of genes involved in alkane and polycyclic aromatic hydrocarbon degradation were also constructed. Negative co-occurrence patterns prevailed among functional genes, thereby indicating probable competition relationships among functional groups.

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