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秋、冬季节刺参养殖池塘浮游细菌数量变化规律的研究
作者姓名:李彬  荣小军  姜卓  廖梅杰  王印庚  薛太山  李华
作者单位:1. 中国水产科学研究院黄海水产研究所,青岛市海水鱼类种子工程与生物技术重点实验室,266071;大连海洋大学,116023
2. 中国水产科学研究院黄海水产研究所,青岛市海水鱼类种子工程与生物技术重点实验室,266071
3. 青岛瑞滋海珍品发展有限公司,266409
4. 大连海洋大学,116023
基金项目:国家高技术研究发展计划项目,国家自然科学基金,山东省科技发展计划项目,中央级公益性科研院所基本科研业务费专项 
摘    要:应用平板稀释涂布培养计数法和荧光显微镜计数法,对秋、冬季(2008年9月~2009年2月)刺参养殖池塘水体中的浮游细菌数量变化规律进行了分析。结果表明,吖啶橙染色直接计数法(AODC)测得细菌总数的变化范围是1.0×106~2.1×107个/ml,活菌直接计数法(DVC)测得活菌总数的变化范围是4.0×105~5.7×106个/ml。异养细菌平板计数法(HPC)测得异养细菌数量为0.6×102~1.7×105CFU/ml。TCBS平板培养的弧菌数量在6.6×103CFU/ml以下。从时间分布看,刺参养殖池塘水体中浮游细菌数量最高值出现在10月份,最低值出现在1月份,秋季细菌数量显著高于冬季(P0.01)。从空间分布看,水体底层细菌数量显著高于表层(P0.05)。利用SPSS13.0软件对所得到的数据进行统计分析表明,同一样品不同计数方法获得的细菌总数数值之间存在显著的相关性(P0.01)。

关 键 词:刺参  浮游细菌

Study on spatial and temporal variations of planktobacteria quantity in Apostichopus japonicus culture ponds during autumn and winter
Authors:LI Bin  RONG Xiao-jun  JIANG Zhuo  LIAO Mei-jie  WANG Yin-geng  XUE Tai-shan  LI Hua
Abstract:he spatial and temporal variations of planktobacteria quantity in Apostichopus japonicus culture ponds during autumn and winter(from September,2008 to Februray,2009)were investigated by plate culture and fluorescence microscope techniques.The total number of planktobacteria estimated by acridine orange direct count(AODC)and Direct Viable Count(DVC)ranged in 1.0×106~2.1×107 cell/ml and 4.0×105~5.7×106 cell/ml,respectively.The amount of heterotrophic bacteria detected by heterotrophic plate count(HPC)ranged from 0.6×102 to 1.66×105CFU/ml.The amount of Vibrio was below 6.6×103CFU/ml using TCBS selective medium cultivation.The number of planktobacteria varied in different season,which reached the maximum in October and the minimum in January.The number of bacteria in the ponds was significantly higher in autumn than in winter(P<0.01).The total number of bacteria in different water layers was determined.The results showed that the total number of bacteria in the bottom water was significantly higher than that in the surface water(P<0.05).There was significant correlation(P<0.01)between data deduced by using different bacterial count methods.
Keywords:AODC  DVC  HPC
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