机构地区:[1]盐城工学院海洋技术系,江苏省沿海池塘养殖生态重点实验室,江苏盐城224051
出 处:《水产学报》2014年第3期426-432,共7页Journal of Fisheries of China
基 金:江苏省三项工程项目(PJ 2010-59);国家自然科学基金项目(31101887);江苏省自然科学基金项目(BK2012675;BK2011419)
摘 要:为研究沿海滩涂异育银鲫养殖池塘浮游生物群落周年变化及其与理化因子的关系,2011年每月采集养殖池塘水样,测定相关理化因子。采用18srDNAPCR。DGGE技术对真核浮游生物群落多样性进行了分析。运用CCA方法分析了真核浮游生物与理化因子的关系。结果表明:TP含量为0.17~1.12mg/L,7月出现峰值。P04-P含量为0.04—0.30mg/L,7月和8月较高。N02-N含量为0.02~0.57mg/L,12月最高。NH4-N含量为0.20~2.37mg/L,5月出现峰值。NO_3-N含量为0.04~10.47mg/L,11月出现峰值。DGGE结果显示,1-12月共有73条谱带,平均每月谱带数为24.67。5月、6月、8月和9月份多样性指数较高。谱带匹配后聚类分析表明:除3月、7月和11月份外,真核浮游生物变化具有季节性,其中8月、9月和10月聚为一支,4月、5月和6月聚为一支,1月、2月和12月聚为一支。CCA分析表明,温度、TP和NH_4^+-N与真核浮游生物群落结构组成显著相关,为养殖生态调控和养殖模式优化提供理论依据。In order to study eukaryotic plankton community succession, and the relationship between eukaryotic plankton community and physicochemical factors in the ponds with Carassius auratus gibelio in coastal mud fiat,water samples were collected monthly in 2011. We measured the relevant physicochemical factors,analyzed the diversity of eukaryotic plankton community by 18s rDNA PCR-DGGE technique, and analyzed the relationship between the plankton community and physicochemical factors by canonical correspondence analysis( CCA) method. The results showed that the concentration of total phosphorus (TP) ranged from 0. 17 to 1. 12 mg/L all the year round, and presented its peak value in July. The range of phosphate(POa-P) concentration was from 0.04 to 0.30 mg/L, and the peak values occurred in July and August. The range of nitrite ( NO2-N ) , ammonia-nitrogen ( NH4 -N ) and nitrate ( NO3-N ) concentration was 0.02 - 0.57 mg/L,0.20 - 2.37 mg/L,0.04 - 10.47 mg/L, and their peak values occurred in December, May and November,respectively. DGGE profiles of 18S rRNA gene fragments from the pond revealed that the diversity of eukaryotic plankton assemblages was highly variable. A total of 73 observable bands were amplified from January to December, and the average was 24.67. Shannon-Wiener index of pond was higher in May, June, August and September. The cluster analysis (UPGMA) dendrograms of eukaryotic plankton revealed remarkable seasonality except for March, July and November. August, September and October clustered into one group. April, May and June clustered into one group, and January, February, December clustered into one group. CCA revealed that temperature, total phosphorus and ammonia-nitrogen played a key role in the structure of the eukaryotic plankton community in pond, which can provide a theoretical basis for ecological regulation of aquaculture and optimization of aquaculture model. DGGE method was a costeffective way to gain insight into seasonal dynamics of eukaryotic plankton commun
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