用16S rRNA基因的内切酶图谱快速鉴别几种对虾病原菌

坎普氏弧菌是青岛海洋大学生物系微生物实验室于１９８９－１９９０年自对虾养殖场中国对虾红腿病心脏及血淋巴中分离并鉴定的菌株，副溶血菌和溶藻胶弧菌两菌株于１９９４年９月得自中国科学院微生物研究所，为建立快速、准确的中国对虾病原菌的诊断技术，根据几种细菌的１６ＳｒＲＮＡ基因的序列，设计并合成该基因的多聚酶反应的引物ＰＬ１和ＰＬ２。并用该对引物分别从坎普氏弧菌、副溶血弧菌和溶藻胶弧菌的ＤＮＡ要品中扩增出分     

几株原甲藻核糖体大亚基RNA基因的部分克隆及序列分析

对7株赤潮原甲藻28S rDNA 5'端部分序列进行扩增、克隆和序列测定,并从GeneBank上获取14个原甲藻28S rDNA序列,用NJ法和ME法构建了原甲藻属的系统树,并对序列进行分析.结果表明,7株原甲藻28S rDNA扩增序列长度为950~958 bp,通过NJ法和ME法构建的系统树完全一致.大部分分离自不同海域的同种原甲藻的序列高度保守,而不同种间在序列高变区却有较大的差异.但来自南海海域的海洋原甲藻(Prorocentrum micans)与分离自其他海域的株系序列差异较大,甚至超出了有些种间的差异.由28S rDNA高变区获得的序列,有望成为浮游植物特异性分子探针设计的良好靶区域.     

中国对虾配合饵料中维生素C添加量的研究

于１９９１年７月２１日－８月１９日在河北省唐海县西林养殖场以养成期中国对虾为材料，在其配合饵料中添加维生素Ｃ进行中国对虾对维生素Ｃ需要量的试验。结果表明，当中国对虾体长为５．５－７．５ｃｍ时，若以本项研究采用的配合饵料的基本成分和配比为基础，配饵中维生素Ｃ的最佳变化添加量为０．０１８％－０．０３０％。研究发现，变动的维生素Ｃ适宜添加量对于中国对虾具有明显的促进生长，增强抗病力和抗低氧能力以及提高存     

Comparative research on karyotype in three species of Arcidae

ＣｏｍｐａｒａｔｉｖｅｒｅｓｅａｒｃｈｏｎｋａｒｙｏｔｙｐｅｉｎｔｈｒｅｅｓｐｅｃｉｅｓｏｆＡｒｃｉｄａｅＺｈｅｎｇＪｉａｓｈｅｎｇ；ＷａｎｇＭｅｉｌｉｎ；ＧｕｏＤａｎｈｏｎｇ；ＸｕＸｉｍｉｎｄａｎｄＧａｏＱｉｎｇｌａｎＡｂｓｔｒａｃｔ：Ｂｙａｉｒ－...     

耳鲍(Haliotis asinina)核糖体小亚基(18S rRNA)编码基因的克隆与序列分析

采用分子生物学的方法,对南海不同海区的两个地理群体耳鲍(Haliotis asinina)18S rRNA基因全长进行了克隆和序列分析,并将耳鲍18S rRNA基因的序列与NCBI数据库中已收录鲍的18SrRNA基因进行了比较。结果发现,南海耳鲍核糖体18S rRNA基因与耳鲍H.asinina isolate H11核糖体18S rRNA基因序列的相同率高达98%;同一地理群体内耳鲍核糖体18S rRNA基因序列完全一致;不同地理群体间耳鲍核糖体18S rRNA基因在碱基组成上的相似率为99%,仅在某些位点处发生了碱基替换,即腺嘌呤(T)被鸟嘌呤(G)替换;同时,将这两个不同群体中耳鲍的18S rRNA基因与泰国耳鲍18S rRNA基因序列进行比较分析发现,它们之间也只是发生了碱基替换。     

断阶型潜山带地质模型的建立及储层预测--以CG20潜山为例

以 CG2 0潜山为例 ,从建立地质模型入手 ,包括地层模型、构造模型、储集模型、储盖组合模型、速度模型等 ,认识到各套地层分布和储层物性的差异均与地震响应密切相关 ,因此可以利用地震波的信息 ,预测潜山储层的发育及分布情况。在对 CG2 0潜山进行精细全三维构造解释的基础上 ,探讨性地应用了测井约束反演、吸收系数、相干分析及三维模式识别等技术 ,对潜山储层进行了预测 ,从而提高了潜山勘探的效益 ,并为类似断阶型潜山带的勘探提供了成功的经验 ,具有一定的指导意义。     

Optimum Sample Size to Detect Perturbation Effects: The Importance of Statistical Power Analysis – A Critique

Abstract. The current article describes statistical power analysis as an efficient strategy for the estimation of the optimum sample size. The principle aim is constructively to criticise and enrich the results presented by Mouillot et al. (1999) , who estimate the optimum sample size for evaluating possible perturbations. The authors did not make any reference to statistical power analysis, even though their objective clearly went beyond a simple stock evaluation to assess management strategies in a particular marine ecosystem. Surprisingly, they proposed (a priori) an ANOVA design to test a hypothesis considering both space and temporal scales. However, the authors did not cover important topics related with power analysis and the precautionary principle, both used into environment impact assessment programmes for marine ecosystems. Based on their results and on statistical power analysis, it is demonstrated that the variability (dispersion statistics), a key factor they used to estimate the sample size, is less relevant than the magnitude of perturbation (effect size). Therefore, a greater effort must be devoted to estimate the effect size of a particular phenomenon rather than a desired variability.     

3D gravity modelling for Anyongbok Seamount in the East Sea

A seamount chain with an approximately WNW trend is observed in the northeastern Ulleung Basin. It has been argued that these seamounts, including two islands called Ulleung and Dok islands, were formed by a hotspot process or by ridge related volcanism. Many geological and geophysical studies have been done for all the seamounts and islands in the chain except Anyongbok Seamount, which is close to the proposed spreading ridge. We first report morphological characteristics, sediment distribution patterns, and the crustal thickness of Anyongbok Seamount using multibeam bathymetry data, seismic reflection profiles, and 3D gravity modeling. The morphology of Anyongbok Seamount shows a cone shaped feature and is characterized by the development of many flank cones and flank rift zones. The estimated surface volume is about 60 km³, and implies that the seamount is smaller than the other seamounts in the chain. No sediments have been observed on the seamount except the lower slope, which is covered by more than 1,000 m of strata. The crustal structure obtained from a 3D gravity modeling (GFR = 3.11, SD 3.82 = mGal) suggests that the seamount was formed around the boundary of the Ulleung Plateau and the Ulleung Basin, and the estimated crustal thickness is about 20 km, which is a little thicker than other nearby seamounts distributed along the northeastern boundary of the Ulleung Basin. This significant crustal thickness also implies that Anyongbok Seamount might not be related to ridge volcanism.