Zhang Haihan, Zhao Zhenfang, Chen Shengnan, Wang Yue, Feng Ji, Jia Jingyu, Kang Pengliang, Li Sulin
Key Laboratory of Northwest Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology Xi'an 710055 P. R. China
Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology Xi'an 710055 P. R. China.
RSC Adv. 2018 May 9;8(31):17079-17090. doi: 10.1039/c8ra01295d.
The geographical variation of denitrifying bacterial communities and water quality parameters in urban lakes distributed across nine provinces in China were determined. The Illumina sequencing data of the denitrifying encoding gene was examined in the samples collected from nine localities (pairwise geographical distance: 200-2600 km). The results showed that fundamental differences in water quality were observed among different urban lakes. The highest nitrate (2.02 mg L) and total nitrogen (3.82 mg L) concentrations were observed in Pingzhuang ( < 0.01). The algal cell concentration ranged from 1.29 × 10 to 3.0 × 10 cell per L. The sequencing data generated a total of 421058 high quality gene reads that resulted in 6369 OTUs (97% cutoff), with Proteobacteria and Firmicutes being the dominant taxa. A co-occurrence network analysis indicated that the top five genera identified as keystone taxa were sp., sp., sp., sp., and sp. A redundancy analysis (RDA) further revealed that distinct denitrifying bacterial communities inhabited the different urban lakes, and influenced by urban lake water ammonia nitrogen, manganese and algal cell concentrations. A variance partitioning analysis (VPA) also showed that geographic location was more important than water quality factors in structuring the denitrifying bacterial communities. Together, these results provide new insight into understanding of denitrifying bacterial communities associated with geographically distributed urban lakes on a larger scale, and these results also expand our exploration of aquatic microbial ecology in freshwater bodies.
对分布于中国九个省份的城市湖泊中反硝化细菌群落的地理变异和水质参数进行了测定。对从九个地点(两两之间的地理距离为200 - 2600公里)采集的样本进行了反硝化编码基因的Illumina测序数据检测。结果表明,不同城市湖泊之间的水质存在显著差异。平庄的硝酸盐浓度最高(2.02毫克/升),总氮浓度最高(3.82毫克/升)(P < 0.01)。藻类细胞浓度范围为每升1.29×10⁶至3.0×10⁷个细胞。测序数据共产生了421058条高质量的nirS基因读数,得到6369个操作分类单元(OTU,97%相似度阈值),其中变形菌门和厚壁菌门为优势类群。共现网络分析表明,被确定为关键类群的前五个属分别是Pseudomonas sp.、Polaromonas sp.、Thauera sp.、Denitratisoma sp.和Azoarcus sp.。冗余分析(RDA)进一步揭示,不同的城市湖泊中栖息着不同的反硝化细菌群落,且受城市湖泊水体氨氮、锰和藻类细胞浓度的影响。变异分割分析(VPA)还表明,地理位置在构建反硝化细菌群落方面比水质因素更重要。这些结果共同为在更大尺度上理解与地理分布的城市湖泊相关的反硝化细菌群落提供了新的见解,同时也扩展了我们对淡水水体中水生微生物生态学的探索。