生物学杂志

• 研究报告 • 上一篇    下一篇

象山港海水网箱养殖区弧菌群落动态变化

  

  1. 宁波大学 海洋学院, 宁波 315211
  • 出版日期:2017-08-18 发布日期:2017-08-18
  • 通讯作者: 张德民,教授,主要从事微生物生态学研究,E-mail: zhangdemin@nbu.edu.cn
  • 作者简介:唐姝,硕士研究生,主要从事海洋微生物学研究,E-mail: 272280750@qq.com
  • 基金资助:
    国家“863”高技术研究发展计划 (2012AA092001)

Dynamics of the Vibrio community in aquaculture area of Xiangshan harbour, Ningbo

  1. School of Marine Sciences, Ningbo University, Ningbo 315211, China
  • Online:2017-08-18 Published:2017-08-18

摘要: 象山港养殖区是我国典型海水养殖区,弧菌(Vibrio)是引起鱼类细菌性疾病的重要病原菌之一。研究于2012年8月—11月,采集象山港大黄鱼网箱养殖区内外海水和鱼体样品分析弧菌群落组成及其动态演替。典型对应分析结果表明养殖区和对照区弧菌群落随时间变化显著。温度、总有机碳、总磷和活性磷酸盐是弧菌群落结构变异的最大环境驱动因子。采用16S rRNA和rpoA鉴定海水和鱼体组织中分离出的优势菌株,表明养殖区和对照区的弧菌群落组成不同,且病害暴发时对照区哈维弧菌(Vibrio harveyi)丰度突增。因此,哈维弧菌可作为预测象山港养殖鱼类患病的快速检测指标。病害暴发后由于投加抗生素,养殖区和鱼体组织中纤细发光杆菌(Photobacterium angustum)丰度突增。

关键词: 弧菌, 群落结构, 鱼类病害, 环境因子

Abstract: The Xiangshan harbour is a typical aquaculture area in China. Vibrio is one of the most important pathogenic bacteria, which is the main cause of bacterial disease of marine fishes. In this study, seawater sample and fish (Pseudosciaena crocea) in the Xiangshan harbour aquaculture area were collected from Aug. to Nov., 2012. The number of Vibrio and total bacteria and the environmental parameters were monitored. Vibrio community structure changed significantly with time. Canonical correspondence analysis showed that temperature, TOC, PO3-4-P and NO-3-N were the most important environmental driver factors of the Vibrio community structure. The predominant bacteria of seawater sample and the fish were identified using 16S rDNA gene and rpoA gene. The result demonstrated that there was obvious difference between the cage-area and control area of Vibrio species component. The abundance of Vibrio harveyi increased suddenly when the fish disease outbreak occurred. Hence, the abundance of Vibrio harveyi can be an indicator of Xiangshan harbour fish illness. Moreover, Photobacterium angustum increased sharply as a result of antibiotic application after the outbreak.

Key words: Vibrio, community structure, fish diseases, environmental parameters