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利用磷脂脂肪酸(PLFAs)生物标记法分析人工湿地根际土壤微生物多样性
引用本文:孙和泰,华伟,祁建民,黄治军,杜存浩,武晗琪,倪利晓.利用磷脂脂肪酸(PLFAs)生物标记法分析人工湿地根际土壤微生物多样性[J].环境工程,2020,38(11):103-109.
作者姓名:孙和泰  华伟  祁建民  黄治军  杜存浩  武晗琪  倪利晓
作者单位:1. 江苏方天电力技术有限公司, 南京 211102;
基金项目:国家自然科学基金;江苏省自然科学基金;江苏省水利科技项目;江苏方天电力项目
摘    要:采用磷脂脂肪酸(PLFAs)生物标记法,分析了4组人工湿地分别栽种2种植物情况下植物根际土壤的微生物群落结构。结果表明:4组湿地植物根际土壤中PLFAs总量为1322~2769 μg/g,PLFAs种类为18~30,湿地植物根际土壤中PLFAs主要包含饱和脂肪酸和单不饱和脂肪酸;植物根际土壤中细菌含量最高,其中好养菌含量显著高于厌氧菌。对PLFAs总量和湿地设计运行参数进行Pearson相关分析,PLFAs含量与基质孔隙率和进水水质呈显著正相关。

关 键 词:人工湿地    根际    微生物    磷脂脂肪酸    多样性
收稿时间:2019-12-17

ANALYSIS ON MICROBIAL DIVERSITY IN THE RHIZOSPHERE OF CONSTRUCTED WETLANDS BY PHOSPHOLIPID FATTY ACIDS BIOMARKERS
SUN He-tai,HUA Wei,QI Jian-min,HUANG Zhi-jun,DU Cun-hao,WU Han-qi,NI Li-xiao.ANALYSIS ON MICROBIAL DIVERSITY IN THE RHIZOSPHERE OF CONSTRUCTED WETLANDS BY PHOSPHOLIPID FATTY ACIDS BIOMARKERS[J].Environmental Engineering,2020,38(11):103-109.
Authors:SUN He-tai  HUA Wei  QI Jian-min  HUANG Zhi-jun  DU Cun-hao  WU Han-qi  NI Li-xiao
Affiliation:1. Jiangsu Fangtian Electric Power Technology Co., Ltd, Nanjing 211102, China;2. Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing 210098, China
Abstract:The microbial community structure of rhizosphere soils in four groups of constructed wetlands were analyzed by phospholipid fatty acid (PLFAs) biomarker method. The results showed that the total amount of phospholipid fatty acid biomarker (PLFAs) in rhizosphere soil of four groups varied from 1322 μg/g to 2769 μg/g, and the range of PLFAs sorts number varied from 18 to 30. PLFAs in wetland plant rhizosphere soil mainly contained saturated fatty acids and monounsaturated fatty acids. The content of bacteria in plant rhizosphere soil was the highest, and the content of well-nourished bacteria was significantly higher than that of anaerobes. The total amount of PLFAs and the design and operation parameters of wetland were analyzed by Pearson correlation analysis. The results showed that the content of PLFAs was positively correlated with matrix porosity and influent water quality.
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