榆科榉属的植物地理学

榉属是东亚—地中海间断分布局,分属于东亚植物区、地中海植物区及伊朗—土兰植物区。根据现存榉属植物的形态演化趋势、细胞学、孢粉学证据及其化石资料和古地质历史事件相结合分析,该属植物是第三纪温带森林的孑遗成分而且第三纪末期的喜马拉雅造山运动及第四纪的冰川作用是样属植物演化的主要动力。在欧洲,由于喜马拉雅造山运动及第四纪冰川作用的较强烈,使分布于此的榉属植物受到严厉的生存竞争,未能适应环境的物种遭受灭绝,少数进行适应性变异的物种在极端环境条件下生存了下来。而东亚地区由于自然环境相对较稳定,便成了榉属植物的避难所,因此也保留了榉属植物种较为古老的种类。     

Hierarchical analysis of variation in the mitochondrial 16S rRNA gene among Hymenoptera

Nucleotide sequences from a 434-bp region of the 16S rRNA gene were analyzed for 65 taxa of Hymenoptera (ants, bees, wasps, parasitoid wasps, sawflies) to examine the patterns of variation within the gene fragment and the taxonomic levels for which it shows maximum utility in phylogeny estimation. A hierarchical approach was adopted in the study through comparison of levels of sequence variation among taxa at different taxonomic levels. As previously reported for many holometabolous insects, the 16S data reported here for Hymenoptera are highly AT-rich and exhibit strong site-to-site variation in substitution rate. More precise estimates of the shape parameter (alpha) of the gamma distribution and the proportion of invariant sites were obtained in this study by employing a reference phylogeny and utilizing maximum-likelihood estimation. The effectiveness of this approach to recovering expected phylogenies of selected hymenopteran taxa has been tested against the use of maximum parsimony. This study finds that the 16S gene is most informative for phylogenetic analysis at two different levels: among closely related species or populations, and among tribes, subfamilies, and families. Maximization of the phylogenetic signal extracted from the 16S gene at higher taxonomic levels may require consideration of the base composition bias and the site-to-site rate variation in a maximum-likelihood framework.      

动态分析沙鼠非酒精性脂肪肝病形成及生化影响

目的分析高脂饮食导致的沙鼠NAFLD疾病进展中脂质代谢、肝功能、抗氧化等方面的变化,探讨沙鼠NAFLD的形成机理。方法雄性沙鼠120只,随机分为对照组和模型组。对照组给予普通饲料,模型组高脂饮食建立NAFLD模型。分别于1、2、4、6、8、16周每组各处死10只动物,观察肝脏病理变化,计算肝指数,检测血清CHO、TG、LDL-C、HDL-C、GOP、GPT及肝组织的SOD、GSH-PX、CAT活性和FFA含量。结果模型组病理观察2周形成单纯性脂肪肝,6周动物门管区有轻度炎症,8周出现腺泡Ⅲ带局灶性窦周/细胞周纤维化,16周肝脏中度纤维化;模型组第1、2、4、6、8、16周时CHO、HDL-C、LDL-C及FAA波动性升高,但均高于同期对照组（P〈0.05,P〈0.01）,TG在1、2、4周高于同期对照组（P〈0.05,P〈0.01）;16周末GOT、GPT出现了显著性升高（P〈0.01）。抗氧化酶GSH-PX、CAT、SOD活性模型组在第8～16周显著性降低（P〈0.05,P〈0.01）。结论高脂饮食使沙鼠2周形成单纯性脂肪肝模型后,随饲喂时间延长,16周末可发展为中度肝纤维化。脂质代谢紊乱与氧化应激在沙鼠NAFLD进展中的发挥了不同的作用。     

长爪沙鼠的遗传多样性分析

利用17个微卫星DNA标记对Z:ZCLA长爪沙鼠封闭群、野生群和近交系进行遗传多样性分析, 评估群体内的遗传变异和群体间的遗传分化。结果表明：在Z:ZCLA封闭群和野生群中共有9个微卫星DNA标记获得稳定的结果, 分别为AF200940、AF200941、AF200942、AF200945、AF200946、AF200947、D11Mit128、PKC和 SCN, 共检测到41个等位基因, 每个基因的等位基因数从1～7不等, 片段大小在120～283 bp之间, 所有位点的平均期望杂合度(He)和多态信息含量(PIC)值分别为0.5032和0.4656, Z:ZCLA封闭群和野生群9个微卫星位点平均有效等位基因数分别为2.78和2.89, 平均基因杂合度分别为0.3704和 0.3893, 平均多态信息含量分别为0.3256和0.3344, 两个群体都表现为中度多态, Z:ZCLA封闭群较野生群稍低; 在3个近交系中共有8个位点获得稳定的扩增结果, 分别为AF200941、AF200942、AF200945、AF200946、AF200947、D11Mit128、PKC和 SCN, 共检测到11个等位基因, 片段大小在140~241 bp之间, 其中5个位点在群体内表现为单态纯合, 3个位点在群体内表现为单态杂合, 所有位点在群体内和群体间均呈单态性, 表明这3个长爪沙鼠品系基本符合近交系的要求, 微卫星标记技术适用于近交系长爪沙鼠的遗传检测。     

人TRAIL基因cDNA的克隆及其在COS-7细胞中的表达

TRAIL(TNF-related apoptosis inducing ligand)是最近克隆的肿瘤坏死因子(TNF)家族的新成员,由于它的蛋白质结构和生物学效应类似于FAS/APO-1L,因此,也被称为APO-2L.     

天麻抗真菌蛋白基因的克隆及其启动子活性

通过构建和筛选天麻(Gastrodia elata Bl.)基因组文库,克隆了一个天麻抗真菌蛋白基因组DNA.该基因组DNA含有一个516碱基组成的编码区,没有内含子结构.其启动子区含有保守的TATA盒及CAAT盒.为研究启动子活性,构建了-1 157 bp启动子区与GUS基因的融合表达载体.并将其用农杆菌(Agrobacterium tumefaciens)介导的遗传转化方法导入烟草(Nicotiana tabacum)中,获得了稳定转化的烟草.利用荧光检测及组织化学染色法对GUS表达进行了分析.结果表明,该启动子能够启动GUS基因在转基因烟草中组织特异性地表达.GUS基因在根中的表达水平最高,茎中次之,叶中只有低水平表达.而且该启动子具有诱导表达活性,可被真菌及水杨酸、茉莉酸强烈诱导表达.     

The Deuterator: software for the determination of backbone amide deuterium levels from H/D exchange MS data

Background  

The combination of mass spectrometry and solution phase amide hydrogen/deuterium exchange (H/D exchange) experiments is an effective method for characterizing protein dynamics, and protein-protein or protein-ligand interactions. Despite methodological advancements and improvements in instrumentation and automation, data analysis and display remains a tedious process. The factors that contribute to this bottleneck are the large number of data points produced in a typical experiment, each requiring manual curation and validation, and then calculation of the level of backbone amide exchange. Tools have become available that address some of these issues, but lack sufficient integration, functionality, and accessibility required to address the needs of the H/D exchange community. To date there is no software for the analysis of H/D exchange data that comprehensively addresses these issues.