华南农业大学学报2018，Vol.39Issue(3)：65-72,8.DOI:10.7671/j.issn.1001-411X.2018.03.011
广州市流溪河沉积物反硝化细菌群落丰度与结构多样性研究
Abundance and structure diversity of denitrifying bacterial community in sediments of Guangzhou Liuxi River
摘要
Abstract
[Objective]To investigate the diversity of denitrifying bacteria in sediments of Guangzhou Liuxi River, and explore the effects of environmental factors on structure and abundance of bacterial community.[Method]The community structure and abundance of denitrifying bacteria in sediments were analyzed by constructing gene library and real-time quantitative PCR (RT-qPCR). The principal coordinate analysis (PCoA) and redundancy analysis (RDA) were used to investigate the correlations between denitrifying bacterial community and environmental factors.[Result]The composition and abundance of nirS-type denitrifier communities in different sampling sites of Liuxi River had distinctive discrepancy. Phylogenetic analysis showed that most of nirS gene sequences obtained in sediments had distant relationships with the known denitrifying bacteria, and the relationships with microorganisms from other environments were closer. The species that had close relationships with nirS-type denitrifier in sediments of Liuxi River were Rhodanobacter, Paracoccus,Polymorphum gilvum,Herbaspirillum and Thauera.Ammonium(NH4+–N)and nitrate(NO3––N) contents had decisive effects on the structure of denitrifying bacterial community.The nirS gene copy numbers were ranged from 8.26×101to 5.45×104g–1,and nirS-type denitrifier abundance was significantly correlated with chemical oxygen demand, total nitrogen, ammonium and nitrate concentrations.[Conclusion]The abundant occurrence of chemical contaminants and reactive nitrogen in Liuxi River significantly influences denitrifying bacterial community structure and diversity.关键词
反硝化细菌/群落结构/丰度/环境因子/流溪河/沉积物Key words
denitrifying bacteria/community structure/abundance/environmental factor/Liuxi River/sediment分类
生物科学引用本文复制引用
邹勇,丁雪瑶,林曼霞,孙永学..广州市流溪河沉积物反硝化细菌群落丰度与结构多样性研究[J].华南农业大学学报,2018,39(3):65-72,8.基金项目
国家自然科学基金(31772803) （31772803）
广东省自然科学基金重点项目(2016A030311029) （2016A030311029）
