稀有鮈鲫近交系微卫星多态性分析

利用17对微卫星引物对稀有鮈鲫(Gobiocypris rarus)野生群体和近交系F20和F22进行了遗传分析。结果表明在野生群体中17个微卫星位点均为多态位点,但在F20中仅有6个多态位点,F22中则仅有4个多态位点。在野生群体中共检测到64个等位基因,F20、F22分别为26、21个。近交系的平均基因纯合率均较高,其中F20为86.18%,F22达91.96%,而野生群体平均基因纯合率为46.84%。近交系平均杂合度和平均多态信息含量均较野生群体低。在近交系F20和F22中,群体间遗传相似性指数最大

湖北牛山湖小型鱼类的群落结构及多样性

研究了牛山湖小型鱼类的群落结构、种群密度和多样性．共捕获14种小型鱼类,以1龄鱼为主,其中红鳍原鲌、似鱎、麦穗鱼和鳑鲏是优势种群．小型鱼类的密度为5．9 ind／m2或14．0 g／m2．小型鱼类的群落多样性较低,以个体数为单位计算的Shannon-Wiener多样性指数为1．802,Simpson优势度指数为0．484, Pielou种类均匀度指数为0．503．水生植被是牛山湖小型鱼类群落分布的主要影响因子,水草生境中小型鱼类数量显著比无水草生境中多,水深和透明度对小型鱼类群落分布无显著性影响．通过合理

银鲫Ran基因的cDNA克隆、表达特征及其在精核解凝中的作用

采用RACE-PCR技术结合SMART cDNA合成技术,从银鲫中克隆到Ran的全长cDNA并对其编码区全长进行了原核表达、相应抗体制备及其时空表达特征分析。RT-PCR结果表明,Ran基因除在脑组织的转录水平较低外,其它组织中的转录水平几乎相同;Ran基因在不同发育阶段的胚胎中都有mRNA转录,但其mRNA的量在原肠期以后呈下降趋势。Western blot结果表明,Ran在卵巢和精巢中均高水平表达,在心、脑、肝、脾、肾中有较低水平表达,在肌肉中则不表达。同时检测到Ran在不同胚胎发育阶段均有较强表达。

江汉平原晚更新世化石硅藻新种和新记录属种

在对江汉平原钻孔中属晚更新世地层的化石硅藻进行鉴定时,发现1个新种:Geissleria jianghanensis sp.nov.Li,2个中国新记录属:Geissleria和Aneumast us,6个中国新记录:Cymbella neuquina var.fastigata(Krasske)Krammer,Maidana et Villanueva,Cymbella perfossilis Krammer,Cymbella neocistula Krammer,Cym-bella neocistul

基于RAPD分析的高体鳑鮍地理分化研究

国家自然科学基金 3 9670 1 0 1、4 983 2 0 1 0资助

鱼类复殖吸虫三新种记述

鱼类复殖吸虫三新种记述冯伟，王伟俊（中国科学院水生生物研究所，武汉４３００７２）关键词复殖吸虫新种，牛首科，同盘科，发状科，鱼类寄生吸虫作者在整理鱼类寄生复殖吸虫中，发现有３个分属于牛首科、同盘科和发状科的种类，经鉴定为新种，现分别描述如后。模式标本...

人工三倍体水晶彩鲫的性腺发育

雄性三倍体鱼的精巢发育比较一致,都完成了由精原细胞、初级精母细胞经减数分裂形成精子细胞的过程,有些还见有变态中的异形精子,个别的还观察到少量类似于正常的成熟精子。雌性三倍体鱼的卵巢发育相当复杂,分化多样,已辨别出卵巢发育分别停留在卵原细胞分化、初级卵母细胞形成、少量卵母细胞生长发育和较多卵母细胞生长发育的四种异常类型,其共同特点是都含有一些败育和趋于败育的细胞,后两类卵巢中普遍含有类似于三倍体鱼精巢中的组织细胞结构。

武汉东湖磷含量的变动及其分布

本文总结了武汉东湖水体中磷含量(均以PO_4计算)的周年逐月季节和年际变动及其分布上的差异(1973—1985年)。按面积加权法计算总磷的平均含量为0.244毫克/升(1983—1985年),总溶解磷和溶解活性磷的平均含量分别为0.121毫克/升和0.051毫克/升(1981—1984年)。总磷和总溶解磷周年中出现两次高峰含量,即春季(3—5月)和夏末秋初(8—9月)。低含量出现在水温最低的冬季(12—2月)。周年中溶解活性磷高峰含量出现在冬末春初(1—3月),低含量多数出现在春末夏初(5—7月)。东湖水

一种简易小型电子扑获检测器

<正> 电子扑获检测器是气相色谱仪中的一种主要检测器。它对负电性强的化合物具有选择性和极高的灵敏度,因此,在环境污染物和农药残留量测定中,在痕量物质分析中,已获得了广泛的应用。为了广泛普及应用电子扑获检测器,设计一种结构简单,装拆方便,易于加工的电子扑获检测器是必要的。本文介绍了一种简易小型电子扑获检

Ultrastructure of the Spermatozoa of the Yangtze Finless Porpoise (Neophocaena phocaenoides asiaeorientalis)

P>Semen sample was collected from two captive adult Yangtze finless porpoises (Neophocaena phocaenoides asiaeorientalis) during physical examination. One individual was aged about 9 years with body length 143 cm (total length) and body weight 46.1 kg in 2003. The age of the other was unknown and its body length was 147 cm and body weight was 43 kg in 2004. Ultrastructure of their spermatozoa was examined using scanning and transmission electron microscope. The sperm concentration was 4.17 x 10(9) spermatozoa per ml by the cytometer. The approximate dimensions of the spermatozoa were as follows: head length, 3.366 +/- 0.140 mu m (mean +/- SE, n = 15); head width, 1.896 +/- 0.099 mu m (n = 15); and neck length, 1.004 +/- 0.074 mu m (n = 10). The tail included midpiece, principal piece and terminal piece. The length of the midpiece was 1.882 +/- 0.077 mu m (n = 9). There is no apparent boundary between the principal piece and the terminal piece, so the length of the principal piece and the terminal piece was 44.612 +/- 3.485 mu m (n = 5). Total length of the spermatozoa was 53.314 +/- 4.580 mu m (n = 10). The acrosome covered approximately 45.8% of the anterior portion of the head.

Using the moving window incorporated neural network to forecast the population behavior of Nostocales spp. in the River Darling, Australia

The paper demonstrates the nonstationarity of algal population behaviors by analyzing the historical populations of Nostocales spp. in the River Darling, Australia. Freshwater ecosystems are more likely to be nonstationary, instead of stationary. Nonstationarity implies that only the near past behaviors could forecast the near future for the system. However, nonstionarity was not considered seriously in previous research efforts for modeling and predicting algal population behaviors. Therefore the moving window technique was incorporated with radial basis function neural network (RBFNN) approach to deal with nonstationarity when modeling and forecasting the population behaviors of Nostocales spp. in the River Darling. The results showed that the RBFNN model could predict the timing and magnitude of algal blooms of Nostocales spp. with high accuracy. Moreover, a combined model based on individual RBFNN models was implemented, which showed superiority over the individual RBFNN models. Hence, the combined model was recommended for the modeling and forecasting of the phytoplankton populations, especially for the forecasting.