| 引用本文: | 沈烽,赵大勇,黄睿,王司辰,曹新益,徐慧敏,曾巾,余钟波.南京玄武湖浮游细菌群落结构的季节变化及其与环境因子的关系.湖泊科学,2017,29(3):662-669. DOI:10.18307/2017.0315 |
| SHEN Feng,ZHAO Dayong,HUANG Rui,WANG Sichen,CAO Xinyi,XU Huimin,ZENG Jin,YU Zhongbo.Seasonal variation of bacterioplankton community structure in Xuanwu Lake(Nanjing) and its relationship with environmental factors. J. Lake Sci.2017,29(3):662-669. DOI:10.18307/2017.0315 |
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| 南京玄武湖浮游细菌群落结构的季节变化及其与环境因子的关系 |
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沈烽1,2, 赵大勇1,2, 黄睿1,2, 王司辰1,2, 曹新益1,2, 徐慧敏1,2, 曾巾3, 余钟波1,2
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1.河海大学水文水资源与水利工程科学国家重点实验室 南京 210098;2.河海大学水文水资源学院 南京 210098;3.中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室 南京 210008
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| 摘要: |
| 应用16S rRNA基因末端限制性片段长度多态性技术和多元统计方法，探究了南京玄武湖浮游细菌群落结构的季节性变化，并找出了浮游细菌群落组成分布的主要影响因子.结果表明，玄武湖4个季节中夏季Invsimpson指数、Shannon-Wiener指数和Pielou指数最高，而春季最低.非度量多维尺度分析结果显示浮游细菌群落结构存在着明显的季节性变化.Mantel检验、典范对应分析、变量分割分析表明影响玄武湖细菌群落结构最显著的环境因子为温度，其次为pH.营养盐浓度对玄武湖细菌群落结构的影响不显著.总的来说，本研究将有助于更好地理解富营养化水体中的浮游细菌群落组成的季节变化规律. |
| 关键词: 浮游细菌 末端限制性片段长度多态性技术 多元统计 玄武湖 |
| DOI：10.18307/2017.0315 |
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| 基金项目:国家自然科学基金项目（41371098，41571108）；水文水资源与水利工程科学国家重点实验室专项研究经费项目（20145027312，20155019012）；中央高校基本科研业务费项目（2015B14214）；湖泊与环境国家重点实验室开放基金项目（2014SKL010） |
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| Seasonal variation of bacterioplankton community structure in Xuanwu Lake(Nanjing) and its relationship with environmental factors |
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SHEN Feng1,2, ZHAO Dayong1,2, HUANG Rui1,2, WANG Sichen1,2, CAO Xinyi1,2, XU Huimin1,2, ZENG Jin3, YU Zhongbo1,2
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1.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, P.R.China;2.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, P.R.China;3.State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, P.R.China
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| Abstract: |
| To explore the seasonal variations of bacterioplankton community structure in Xuanwu Lake and identify the main factors affecting bacterioplankton community composition, the bacterial 16S rRNA terminal restriction fragment length polymorphism technology and multivariate statistical methods were applied. The results show that the Invsimpson, Shannon-Wiener and Pielou indexes were the highest in summer, and the lowest in spring. Nonmetric multidimensional scaling analysis showed that bacterioplankton community structure exhibited a seasonal pattern. Mantel test, canonical correlation analysis and variation partitioning analysis show that the most significant environmental factor on the bacterioplankton community structure was temperature, and followed factor was pH. The influence of nutrient concentration was not significant. Overall, this study will be helpful for better understanding of the bacterioplankton community composition in eutrophic lakes. |
| Key words: Bacterioplankton terminal restriction fragment length polymorphism technology multivariate analysis Xuanwu Lake |
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