Distribution of ammonia-oxidizing Betaproteobacteria community in surface sediment off the Changjiang River Estuary in summer

作     者：LI Jialin BAI Jie GAO Huiwang LIU Guangxing LI Jialin 1,2 ,BAI Jie 1,GAO Huiwang 1,LIU Guangxing 1 1 Key Laboratory of Marine Environmental Science and Ecology of Ministry of Education,College of Environmental Science and Engineering,Ocean University of China, Qingdao 266100, China 2 Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences,Yantai 264003, China

作者机构：Key Laboratory of Marine Environmental Science and Ecology of Ministry of Education College of Environmental Science and Engineering Ocean University of China Qingdao 266100 China Yantai Institute of Coastal Zone Research Chinese Academy of Sciences Yantai 264003 China 

出 版 物：《Acta Oceanologica Sinica》 (海洋学报（英文版）)

年 卷 期：2011年第30卷第3期

页      面：92-99页

核心收录：

学科分类：07[理学] 

基　　金：The National Fundamental Project of China under grant No.2006CB400602 

主　　题：ammonia-oxidizing Betaproteobacteria (βAOB) diversity abundance nitrification surface sediment Changiiang River Estuarv (CRE) 

摘      要：The spatial distribution of ammonia-oxidizing Betaproteobacteria （βAOB） was investigated by FISH （fluorescence in situ hybridization） and DGGE （denaturing gradient get electrophoresis） techniques in the sediment off the Changjiang River Estuary. Sediment samples were collected from eight stations in June before the formation of hypoxia zone in 2006. The abundance of βAOB ranged from 1.87× 10^5 to 3.53×10^5 cells/g of sediment. βAOB abundance did not present a negative correlation with salinity, whereas salinity was implicated as the primary factor affecting nitrification rates. The DGGE profiles of PCR-amplified amoA gene fragments revealed that the βAOB community structure of sample S2 separated from other samples at the level of 40% similarity. The variations in composition ofβAOB were significantly correlated with the salinity, temperature, absorption ability of sediments and TOC. The statistical analysis indicates that theβAOB abundance was a main factor to influence nitrification rates with an influence ratio of 87.7% at the level of 40% biodiversity similarity. Considering the good correlation between βAOB abundance and nitrification estimates, the abundance and diversity of βAOB community could be expected as an indirect index of nitrification activity at the study sea area in summer.