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›› 2014, Vol. 36 ›› Issue (1): 7-13.

• 论文与报告 • 上一篇    下一篇

福建沿海牡蛎养殖群体的多重种类特异性PCR分析和形态参数比较

巫旗生1,宁岳1,曾志南1,王晓清2,祁剑飞1   

  1. 1. 福建省水产研究所
    2. 湖南农业大学动物科技学院
  • 收稿日期:2013-12-26 修回日期:2014-01-20 出版日期:2014-02-25 发布日期:2014-03-10
  • 通讯作者: 曾志南

Analysis of cultivated oyster populations along the coastline of Fujian by multiplex species-specific PCR and morphological parameters

  • Received:2013-12-26 Revised:2014-01-20 Online:2014-02-25 Published:2014-03-10

摘要: 应用多重种类特异性PCR方法对福建沿海养殖牡蛎的6个自然苗群体(福鼎FD、连江LJZ、福清FQ、莆田PT、石狮SSZ、厦门XM)和4个人工苗群体(宁德ND、连江LJR、石狮SSR、诏安ZA)进行种类鉴定,并应用方差分析和Tukey多重比较对10个养殖群体的4个壳形态参数进行比较分析。每个群体随机选取30个个体,共分析10个养殖群体300个个体。多重种类特异性PCR分析结果显示,自然苗群体中共发现熊本牡蛎17个,其余为葡萄牙牡蛎;人工苗群体均为葡萄牙牡蛎。福建沿海养殖牡蛎种类为葡萄牙牡蛎和熊本牡蛎,其中葡萄牙牡蛎为优势种类。应用方差分析和Tukey多重比较分析结果表明,葡萄牙牡蛎的壳形态参数明显大于熊本牡蛎;FD和SSZ群体间差异不显著,SSR和XM群体间差异不显著(P>0.05);FD与FQ、ND和LJR群体间差异显著(P<0.05)。

关键词: 牡蛎, 养殖群体, 自然苗, 人工苗, 多重种类特异性PCR, 形态参数, oyster, cultivated populations, natural seeding, artificial breeding, multiplex species-specific PCR, morphological parameters

Abstract: The present study was to develop the identification of 6 natural seeding cultivated, named FD, LJZ, FQ, PT, SSZ and XM, and 4 artificial breeding oysters population, named ND,LJR, SSR and ZA, in coastal sea of Fujian, through using multiplex species-specific PCR method. By ANOVA and Tukey multiple comparison methods, four shell morphologies from 10 breeding populations were also analyzed. A total number of 300 individual oysters were randomly collected from 10 sites along Fujian coast. Results of multiplex species-specific PCR showed that 17 samples were Crassostrea sikamea and others were Crassostrea angulata which including all artificial breeding oysters. The results indicated cultivated oysters in coastal sea of Fujian Province included Crassostrea sikamea and Crassostrea angulata, and Crassostrea angulata is dominant species. ANOVA analysis showed the values of four shell morphologies in Crassostrea angulata are greater than Crassostrea sikamea, and no significant difference was observed between the populations of FD and SSZ, SSR and XM respectively(P>0.05), while FD and FQ, ND and LJR was significant(P<0.05).