文章摘要
钟立强,王明华,张世勇,姜虎成,陈校辉,朱广伟,边文冀.南京地区斑点叉尾鮰养殖池塘水体微生物群落结构研究[J].农业环境科学学报,2020,39(7):1594-1604.
南京地区斑点叉尾鮰养殖池塘水体微生物群落结构研究
Microbial community structure in a channel catfish pond in Nanjing, China
投稿时间:2020-02-16  
DOI:10.11654/jaes.2020-0157
中文关键词: 斑点叉尾鮰  池塘  水体  微生物群落  高通量测序
英文关键词: channel catfish  pond  water body  microbial community  high-throughput sequencing technique
基金项目:江苏现代农业(鮰鱼)产业技术体系建设专项(JATS[2019]391);国家现代农业产业技术体系专项(CARS-46);江苏省农业重大新品种创制项目(PZCZ201741)
作者单位E-mail
钟立强 江苏省淡水水产研究所, 南京 210017
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 太湖湖泊生态系统研究站, 南京 210008
中国科学院大学, 北京 100049 
 
王明华 江苏省淡水水产研究所, 南京 210017  
张世勇 江苏省淡水水产研究所, 南京 210017  
姜虎成 江苏省淡水水产研究所, 南京 210017  
陈校辉 江苏省淡水水产研究所, 南京 210017  
朱广伟 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 太湖湖泊生态系统研究站, 南京 210008 gwzhu@niglas.ac.cn 
边文冀 江苏省淡水水产研究所, 南京 210017 js6060@sina.com 
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中文摘要:
      微生物群落在水产养殖中起着重要作用,深入了解微生物群落组成及其构建机制对了解池塘生态功能具有重要意义。本研究采用高通量测序技术对南京地区斑点叉尾鮰(Ictalurus punctatus)养殖池塘水体中细菌群落结构特征进行了分析。结果显示,斑点叉尾鮰养殖池塘水体细菌群落结构呈现出明显的季节性变化,整个年度水体细菌群落呈现出连续的演替特征,冬季与春季、夏季与秋季的细菌群落结构较为相似。优势菌群主要为蓝藻门(Cyanobacteria)、放线菌门(Actinobacteria)、变形菌门(Proteobacteria)和拟杆菌门(Bacteroidetes)。环境因子中,总溶解性悬浮物(TDS)、水温(Temp)、酸碱度(pH)、亚硝酸盐(NO2--N)和总有机碳(TOC)与斑点叉尾鮰养殖池塘水体细菌群落结构有显著相关(P<0.05),对细菌群落结构的塑造影响也最大(r2>0.6)。
英文摘要:
      Microbes play important roles in aquaculture environments. Consequently, to understand and predict the response of such an ecosystem to environmental changes, there is an urgent need to explore the structure and constructive mechanism of microbial communities in aquaculture ponds. This study characterized the structure of microbial communities in water samples from a channel catfish pond in Nanjing, China. High-throughput sequencing of the V3-V4 hypervariable region in the 16S rRNA gene was used to investigate the microbiome structural characters. The results showed that the bacterial community structure exhibited a strong seasonal change, whereby a distinct temporal succession was evident over the entire year. The bacterial community compositions were similar between the winter and spring and between the summer and autumn. The dominant phyla in water samples were Cyanobacteria, Actinobacteria, Proteobacteria, and Bacteroidetes. Among the measured environmental variables, TDS, temperature, pH, NO2--N, and TOC were observed as the primary drivers for the bacterial communities (r2>0.6), which also had a significant correlation with the bacterial community structure(P<0.05).
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