神农架豆科植物的分布及其区系特点

神农架位于湖北西部,素有“华中第一峰”之称,最高海拔3105米。神农架有豆科植物31属56种(不包括栽培种),其中,乔木10种,灌木19种,草本22种和藤本5种。在温带常绿针叶林带内有2种生长,有28种分布在暖温性落叶阔叶和针叶混交林带,52种分布在亚热带落叶阔叶和常绿阔叶混交林带。其中,只有紫云英1种在三个带内都有分布,24种可跨两个分布带。在区系成分中,中国-日本成分16种,中国特有种21种,温带亚洲成分5种,欧亚成分4种,北温带成分3种,热带亚洲成分3种,热带亚洲和热带非洲成分1种,东亚-北美成分1种,西亚至东亚成分1种,中国-喜马拉雅成分1种。神农架豆科植物区系特点是:种类较丰富,成分复杂,特有种多,具明显的过渡特色。     

Negritos, Australian aborigines, and the "proto-sundadont" dental pattern: the basic populations in east Asia, V.

Five evolutionarily significant dental traits were identified from a B-square distance analysis of nine crown characters recorded for several populations of East Asia and Oceania. Intergroup variation in these traits distinguishes three major divisions of the Mongoloid dental complex: sundadonty, sinodonty, and the dental pattern of Australian Aborigines. The Australian crown features may be characterized as having high frequencies of evolutionarily conservative characters. Negritos, one of the probable representatives of indigenous inhabitants of Southeast Asia who may have shared a common ancestor with Australians, possess the more derived sundadont dental pattern. As far as the five crown traits treated here are concerned, Australian dental features may be described as conforming to a "proto-sundadont" dental pattern, applying Turner's terminology. This pattern may represent a microevolutionary step prior to the emergence of the sundadont and sinodont patterns.     

组织型纤溶酶原激活剂（t—PA）工程细胞系遗传特性及成瘤性分析

组织型纤溶酶原激活剂(t-PA)因其在防止血栓形成中起重要作用而受到人们的重视。但由于t-PA在血液中半衰期很短,作为溶栓药,一时难于推广。为了延长半衰期、增强其特异活性,本组构建了t-PA突变体并在CHO-dhfr~-细胞中获得了高效表达。我们在细胞培养基中加入秋水仙素,通过低张、固定、染色,进行染色体分析,结果表明,t-PA工程细胞系染色体条数为20条,畸变类型有异着丝粒。四倍体、裂隙、断片,畸变率为15％,属于正常范围。同时我们对该细胞系进行成瘤性试验,选用4周龄裸鼠作为试验鼠,以Hela细胞为阳性对照,CHO-dhfr~-细胞为阴性对照,试验表明:t-PA工程细胞及表达产物对裸鼠均无成瘤性。     

Rapid authentication of animal cell lines using pyrolysis mass spectrometry and auto-associative artificial neural networks

Summary Pyrolysis mass spectrometry (PyMS) was used to produce biochemical fingerprints from replicate frozen cell cultures of mouse macrophage hybridoma 2C11-12, human leukaemia K562, baby hamster kidney BHK 21/C13, and mouse tumour BW-O, and a fresh culture of Chinese hamster ovary CHO cells. The dimensionality of these data was reduced by the unsupervised feature extraction pattern recognition technique of auto-associative neural networks. The clusters observed were compared with the groups obtained from the more conventional statistical approaches of hierarchical cluster analysis. It was observed that frozen and fresh cell line cultures gave very different pyrolysis mass spectra. When only the frozen animal cells were analysed by PyMS, auto-associative artificial neural networks (ANNs) were employed to discriminate between them successfully. Furthermore, very similar classifications were observed when the same spectral data were analysed using hierarchical cluster analysis. We demonstrate that this approach can detect the contamination of cell lines with low numbers of bacteria and fungi; this approach could plausibly be extended for the rapid detection of mycoplasma infection in animal cell lines. The major advantages that PyMS offers over more conventional methods used to type cell lines and to screen for microbial infection, such as DNA fingerprinting, are its speed, sensitivity and the ability to analyse hundreds of samples per day. We conclude that the combination of PyMS and ANNs can provide a rapid and accurate discriminatory technique for the authentication of animal cell line cultures.     

A neural network model for the prediction of membrane-spanning amino acid sequences

The architecture and weights of an artificial neural network model that predicts putative transmembrane sequences have been developed and optimized by the algorithm of structure evolution. The resulting filter is able to classify membrane/nonmembrane transition regions in sequences of integral human membrane proteins with high accuracy. Similar results have been obtained for both training and test set data, indicating that the network has focused on general features of transmembrane sequences rather than specializing on the training data. Seven physicochemical amino acid properties have been used for sequence encoding. The predictions are compared to hydrophobicity plots.     

侵染新疆甜菜的两种病毒分离物的研究

在新疆甜菜的根部和叶片分离到两个球状病毒分离物。从病毒形态、生物学及物化性质等研究结果证明这两个分离物实是一种病毒。病毒粒体力２０面体,直径约２８ｎｍ,回接到甜菜上产生环斑和沿脉线纹最后形成坏死斑。此外还侵染苋色藜,昆诺阿黎,番杏,菠菜等,引起局部坏死斑。在普通烟,心叶烟,菜豆,黄瓜,蕃茄上无症状侵染,病毒致死温度为７０℃,１０分钟。体外存括期１３天以上,冻干病叶７年后仍有侵染力。通过ＰＥＧ沉淀、差速离心、琼脂糖柱层析及蔗糖梯度离心,可得到较高浓度的纯化病毒,病毒的紫外吸收最低值在２４５ｎｍ,最高值在２６０ｎｍ。经ＳＤＳ－ＰＡＧＥ测定,病毒外壳蛋白的分子量为２．７×１０￣４道尔顿,病毒基因组核酸为三个组份,分子量分别为３．０８ｋｂ,１．２８ｋｂ和０．８５ｋｂ。在琼脂双扩散实验中,能与番茄黑环病毒（ＴＢＲＶ）抗血清产生较弱的沉淀线,与黄瓜花叶病毒（ＣＷＶ）、烟草环斑病毒（ＴＲＳＶ）、烟草坏死病毒（ＴＮＶ）、香石竹环斑病毒（ＣａＲＳＶ）的抗血清不发生反应。     

慈竹无性系种群能值特点及其影响能值计测因素的研究

 本文引用Harper(1977)的构件结构理论,从构件结构单位、无性系分株和无性系三个层次,对四川南充市郊慈竹无性系种群的能值特点及其影响能值的计测因素进行了定量研究。研究结果表明：慈竹无性系种群中,各构件单位的去灰分热值(AFCV)分别为：根15349.42J／g、根茎16372.92J／g、秆17106.06J／g、枝18111.99J／g和叶19451.90J／g;慈竹无性系分株的AFCV(J／g)随龄级增大而递增;慈竹无性系水平上的AFCV为：Ⅰ龄占16.47%、Ⅱ龄占25.76%、Ⅲ龄占36.32%、Ⅳ龄为13.08%及Ⅴ龄为8.37%。用恒容燃烧法测定热值时,其能值变化与氧分压密切相关。用经验公式计算的能值较作图法高;用AFCV表示能值较总干重热值(GCV)准确。     

基于拉曼技术的单细胞生长检测方法

目的 单细胞生长检测可以更加科学地揭示微生物代谢变化的规律,为后期微生物工程应用提供指导。针对微生物生长应用于食品安全期和最佳食用期的精准检测问题,本文提出一种基于拉曼技术的单细胞生长检测方法。方法 首先,通过同步培养实验采集了枯草芽孢杆菌两个批次共900个单细胞拉曼光谱（SCRS）数据,其中600个用于训练和测试,另一批次300个用于模型验证。其次,基于主成分分析的特征关系矩阵,提出CP-SP特征评估方法以筛选SCRS特征用于模型检测。再基于XGBoost构建检测模型,并应用网格搜索和交叉验证对检测模型进行调优。最后,应用混淆矩阵、ROC曲线评估模型对细胞滞后期、对数期和稳定期的检测准确率、敏感性和特异性。结果 选用CP-SP筛选的第一、第二和第四主成分较特征贡献率前3个主成分的分类性能提高了3.1%,调优后的细胞生长检测模型测试准确率为96.0%,验证准确率为92.3%。结论 基于拉曼技术的单细胞生长检测方法能准确识别单细胞生长状态且具有较高的泛化能力,可为食品安全和保鲜制定精准调控机制提供科学指导。     

陕北黄土高原蒿属植物的分类与分析

陕北黄土高原有蒿属植物30种1变种,居该地产种子植物属中所含种数的首位。所产蒿属植物在不同的植被带中梯度变化明显,替代现象显著。在生态类型上,旱生类型从南向北递增,中生类型从南向北递减。在区系组成上可分为6种分布区类型,即:我国特有分布,3种;温带亚洲分布,14种1变种;北温带及中亚分布各4种;旧世界温带分布,3种;东亚分布的2种。可见陕北黄土高原蒿属植物种类丰富,梯度变化明显,旱化现象显著,地理成分复杂,但以温带亚洲分布类型为主,兼有其它成分,属典型的温带性质。     

山西蕨类植物区系及分布特点的初步研究

本文对山西省蕨类植物区系成分进行了初步分析并总结了其区系特征,同时对其生态分布特点也进行了归纳,而且还对蕨类植物资源的开发利用提出了建议。