| 引用本文: | 刘君政,王鹏,肖汉玉,陈波.城市河流细菌群落特征及影响因素——以鄱阳湖流域赣江南昌段为例.湖泊科学,2018,30(3):741-752. DOI:10.18307/2018.0316 |
| LIU Junzheng,WANG Peng,XIAO Hanyu,CHEN Bo.Characteristics of aquatic bacterial community and the influencing factors in an urban river-A case study of Nanchang section of the Ganjiang River, Lake Poyang Basin. J. Lake Sci.2018,30(3):741-752. DOI:10.18307/2018.0316 |
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| 城市河流细菌群落特征及影响因素——以鄱阳湖流域赣江南昌段为例 |
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刘君政1,2, 王鹏1,2, 肖汉玉1,2, 陈波1,2
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1.江西师范大学鄱阳湖湿地与流域研究教育部重点实验室, 南昌 330022;2.江西师范大学地理与环境学院, 南昌 330022
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| 摘要: |
| 为了了解赣江细菌群落特征，探讨环境因子对城市河流细菌群落结构组成的影响，本文基于高通量测序分析鄱阳湖流域赣江南昌段2015年4月至2016年3月5个采样点（G1~G5）的细菌群落特征.采用R语言"Vegan"程序包中的"Bioenv"程序、冗余分析方法分析环境因子对河水细菌群落的影响，基于Bayesian统计方法的SourceTracker模型估算南昌城区对赣江细菌群落的改变比例.结果表明：赣江南昌段的优势菌门为放线菌门（Actinobacteria，34.05%）和变形菌门（Proteobacteria，31.59%），其次为厚壁菌门（Firmicutes，15.49%）和拟杆菌门（Bacteroidetes，9.12%）；气温和流量是河流细菌群落主要影响因子，其中气温是影响OTU丰度的最佳单参数，影响门丰度的最佳单参数是流量；水文气象条件（气温和流量）对河流细菌群落的影响大于水化学指标，包括营养盐（溶解有机碳、总磷和铵态氮）、水化学离子（HCO3-、Cl-、NO3-、SO42-、Na+、K+和Mg2+）和重金属元素（Mn、Cd、Cr、Pb、Cu、As、Ba和Fe）.除Proteobacteria外，其余门的细菌相对丰度在5个采样点之间不存在显著差异；SourceTracker模型结果表明南昌城区对赣江细菌群落结构组成的影响为6.33%~34.67%，对赣江南支细菌群落的影响显著高于其他河段；南昌城区对细菌群落的影响较小，主要的影响门类为Proteobacteria. |
| 关键词: 细菌群落结构 高通量测序 水文气象 水化学 南昌城区 赣江 鄱阳湖流域 |
| DOI：10.18307/2018.0316 |
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| 基金项目:国家自然科学基金项目（41661017）和江西省自然科学基金项目（20151BAB213035）联合资助. |
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| Characteristics of aquatic bacterial community and the influencing factors in an urban river-A case study of Nanchang section of the Ganjiang River, Lake Poyang Basin |
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LIU Junzheng1,2, WANG Peng1,2, XIAO Hanyu1,2, CHEN Bo1,2
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1.Key Laboratory of Lake Poyang Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, P. R. China;2.School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, P. R. China
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| Abstract: |
| In this study, we analyzed the characteristics of the bacterial community in Nanchang section of the Ganjiang River, Lake Poyang Basin, based on monthly sampling on five sites (G1-G5) from April 2015 to March 2016. G1 lays on the Ganjiang River before entering the urban region, G2 in the center of the city, and G3-G5 in the three branches leaving the urban region, respectively. The hydrometeorological factors (air temperature and flow rate) were recorded; the hydrochemical factors of sampling water, including nutrients (dissolved organic carbon, total phosphorus and ammonium nitrogen), ions (HCO3-, Cl-, NO3-, SO42-, Na+, K+ and Mg2+), and heavy metals (Mn, Cd, Cr, Pb, Cu, As, Ba and Fe) were measured. The bacterial community was characterized using Illumina high-throughput sequencing. Nonmetric Multidimensional Scaling (NMDS) was carried out on OTUs data using Bray-Curtis distance matrices to examine the difference in bacterial community between water samples. The ‘Bioenv’ in the R package ‘Vegan’ and redundancy analysis was used to explore the influence of environmental factors on the bacterial community in the river. The SourceTracker Model, which was based on Bayesian Statistical Method, was used to estimate the change of bacterial community in Nanchang section of the Ganjiang River. Results showed that:The dominant phyla were Actinobacteria (34.05%) and Proteobacteria (31.59%), followed by Firmicutes (15.49%) and Bacteroidetes (9.12%). Air temperature and flow rate were the main environmental factors influencing bacterial communities in the river. The optimal single-parameter for explaining the variance of OTU abundance was air temperature, and the optimal single-parameter for explaining the variance of phylum abundance was flow rate. The influence of hydrometeorological factors (air temperature and flow rate) on bacterial communities was higher than that of the water chemistry. Except for Proteobacteria, there was no significant difference of the bacterial community between the five sampling sites. The results of SourceTracker Model showed that the influence of Nanchang city on the bacterial community in the Ganjiang River ranged from 6.33% to 34.67%, and the influence on bacterial community in the south branch of the Ganjiang River was significantly higher than that in other river sections. The influence of Nanchang city on bacterial community was small, and the main influenced phylum was Proteobacteria. |
| Key words: Bacterial community the high throughput sequencing hydrometeorological water chemistry Nanchang City Ganjiang River Lake Poyang Basin |
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