利用植物激素调控嫁接形成的初步研究

利用黄瓜（Ｃｕｃｕｍ ｉｓｓａｔｉｖｕｓ）试管苗进行离体茎段自体嫁接,研究ＩＢＡ 和６－ＢＡ 对嫁接形成的影响时发现：进行离体茎段嫁接时,用试管苗茎段可简化嫁接过程,减少污染。嫁接茎段的颜色变化、不定根发生和愈伤组织形成与激素浓度有关。植物激素通过影响砧木和接穗间维管束桥形成的时间和数目调控嫁接组合的发育。在作者的实验中,最佳的激素条件是：在接穗培养基中加ＩＢＡ １．２ ｍ ｇ／Ｌ,在接穗和砧木培养基中加６－ＢＡ ０．３ ｍ ｇ／Ｌ。     

CO2／盐冲击对小麦幼苗呼吸酶活性的影响

以不同抗盐小麦 (Triticum aestivum L.)为材料 ,研究了 CO2 /盐冲击对幼苗生长状况、叶绿素含量、光呼吸和三羧酸循环 (TCAC)关键酶活性的影响。结果表明 :Na Cl抑制小麦生长 ,而 CO2 促进生长 ,这种效应盐处理植株比非盐处理植株明显 ;Na Cl降低叶绿素含量 ,CO2 可使其轻微提高 ;盐对普通小麦TCAC中的异柠檬酸脱氢酶 (IDH)、琥珀酸脱氢酶 (SDH)、苹果酸脱氢酶 (MDH)和光呼吸中的乙醇酸氧化酶 (GO)、羟基丙酮酸还原酶 (HPR)有刺激作用 ,CO2 则抑制它们的活性。抗盐小麦对 CO2 /盐冲击的反应与普通小麦有差别。结果可以说明 ,CO2 能够减轻 Na Cl对植物的毒害效应     

长江中华鲟繁殖群体资源现状的初步研究

根据1994—1998年获得的246尾标本,对中华鲟繁殖群体的性比、性腺发育成熟个体比例、年龄结构、体长和体重特征等进行了研究。并结合历史资料,对其种群资源现状进行评价,提出了相应的资源保护措施建议。     

HTm4基因在造血细胞周期调控中的作用

为了研究HTm4基因在造血细胞细胞周期调控中的作用,以佛波酯(phorbol 12-myristate 13-acetate,PMA)诱导K562细胞分化为模型,利用流式细胞术(FACS)及半定量RT-PCR对分化过程中细胞周期的变化及HTm4基因的表达进行了分析,并利用Tet-Off调控表达系统,将HTm4基因以及C端功能域缺失的HTm4-ct转染K562细胞,观察对细胞周期的影响。结果表明,PMA同时引起了K562细胞的增殖和分化,G0／G1期细胞的比例以及HTm4基因的表达均呈现出波浪形的变化趋势,说明HTm4基因可能参与了细胞退出细胞周期的过程。HTm4基因转染后引起K562细胞滞留于G0／G1期,但C端功能域缺失的HTm4-ct没有此作用,说明C端功能域在HTm4基因调控细胞周期的功能中发挥重要作用。     

Con A affinity glycoproteomics of normal human liver tissue

In order to establish the novel high throughput, high efficiency and low cost technological platform for the research of N-glycoproteomics, to resolve the significance of characteristic expression profile of glycoprotein and to find the proteins with biological functional importance, the glycoproteins with high-mannose core and the two antennary types were purified and enriched by the Con A affinity chromatography. Con A affinity protein expression profiles of normal human liver tissue were generated by using SDS-PAGE, two-dimensional electrophoresis (2-DE) followed by fast fluorescence staining based on multiplexed proteomics (MP) technology. 301 visible protein spots on the gel were detected and 85 of glycoproteins were further successfully identified via peptide mass fingerprinting (PMF) by a matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS/MS) and annotated to IPI databases. Identified glycoproteins definitely take part in the regulation of cell cycle and metabolic processes. The glycosylation sites were predicted with NetNGlyc 1.0 and NetOGlyc 3.1 software, meanwhile they were classified according to the geneontology methods. The construction of Con A affinity glycoprotein database of normal human liver tissue would contribute to the subsequent research.     

啤酒抗日光嗅味的研究

啤酒中的３－甲基－２－丁烯－１－硫醇是由光照产生的。减少光照或减少其胶驱物质的产生是降低啤酒日光嗅味的有效途径。酵母和核黄素在ＭＢＴ的形成过程中起到关键作用同,还原酒花苦味物质能从根本上解决啤酒的日光嗅味。     

Generalization of the QST framework in hierarchically structured populations: Impacts of inbreeding and dominance

Q_ST is a differentiation parameter based on the decomposition of the genetic variance of a trait. In the case of additive inheritance and absence of selection, it is analogous to the genic differentiation measured on individual loci, F_ST. Thus, Q_ST?F_ST comparison is used to infer selection: selective divergence when Q_ST > F_ST, or convergence when Q_ST < F_ST. The definition of Q‐statistics was extended to two‐level hierarchical population structures with Hardy–Weinberg equilibrium. Here, we generalize the Q‐statistics framework to any hierarchical population structure. First, we developed the analytical definition of hierarchical Q‐statistics for populations not at Hardy–Weinberg equilibrium. We show that the Q‐statistics values obtained with the Hardy–Weinberg definition are lower than their corresponding F‐statistics when F_IS > 0 (higher when F_IS < 0). Then, we used an island model simulation approach to investigate the impact of inbreeding and dominance on the Q_ST?F_ST framework in a hierarchical population structure. We show that, while differentiation at the lower hierarchical level (Q_SR) is a monotonic function of migration, differentiation at the upper level (Q_RT) is not. In the case of additive inheritance, we show that inbreeding inflates the variance of Q_RT, which can increase the frequency of Q_RT > F_RT cases. We also show that dominance drastically reduces Q‐statistics below F‐statistics for any level of the hierarchy. Therefore, high values of Q‐statistics are good indicators of selection, but low values are not in the case of dominance.