大别山野生川榛坚果主要性状分析及评价

本研究以大别山地区96份川榛种质资源为基础材料,采用概率分级和因子分析的方法,评价了川榛坚果16项数量性状和9项质量性状指标。结果表明:川榛坚果数量性状的变异较为丰富,变异幅度在5.49%~111.18%,其中与产量直接相关的壳仁间隙(111.18%)、果仁质量(32.61%)、坚果质量(32.22%)、出仁率(26.60%)及壳腰厚度(25.46%)性状变异较大。经K-S检验表明,供试性状除了果仁形状指数(P=0.007)和壳仁间隙(P=0.003)2项指标外,其他14项性状指标均符合正态分布。因子分析法提取了坚果大小因素、坚果出仁率因素及坚果饱满度因素,初步构建川榛坚果性状综合评价指标。上述研究为川榛坚果性状的评价、描述和质量等级的建立提供参考依据。     

大连市6种园林树种的光合固碳释氧特性

以大连市园林6种常用园林树种为研究材料,利用LI-6400便携式光合测定仪测定树木的光合生理生态指标,对6种树种的光合固碳释氧能力、光响应参数以及光合速率影响因子进行分析。结果表明:在不同季节同种植物的单位叶面积固碳释氧能力表现为夏季最强。日均单位叶面积固碳释氧能力由强到弱为龙爪槐(Sophora japonica var.pendula)合欢(Albizia julibrissin)光叶榉(Zelkova serrata)槲树(Quercus dentata)悬铃木(Platanus acerifolia)枫杨(Pterocarya stenoptera);日均单株固碳释氧能力由强到弱为悬铃木槲树合欢光叶榉枫杨龙爪槐。气孔导度、蒸腾速率、光合有效辐射和大气CO2浓度是影响光合速率的主要因子。悬铃木、合欢对环境的适应能力较强。根据树种的固碳释氧能力及生理特性,建议在大连地区进行绿化时优选悬铃木、合欢,槲树、龙爪槐也可作为高固碳树种推广。     

应用结构方程模型解析影响黄连木果实产量 和种子命运的因素

果实(种子)产量和质量是影响植物种群更新的重要因素。为了探明影响黄连木果实产量和种子命运的因素以及这些影响因素之间的相互作用, 作者于2009年对河南省济源市45株黄连木(Pistacia chinensis)结果样树的植株特征、果实特征、果实产量和种子命运等进行了测定, 并用结构方程模型进行综合分析。结果表明: (1)黄连木果实产量与树高、树冠面积和果序大小等特征成正相关, 但与胸径、果实大小相关性不显著; (2)与捕食者饱和假说的预测不一致, 单株果实产量对黄连木广肩小蜂(Eurytoma plotnikovi)的种子捕食率(即虫蛀率)无显著直接负向效应; (3)树高和果实大小对虫蛀率为显著直接正向效应, 胸径对虫蛀率为显著直接负向效应, 显示黄连木广肩小蜂对植株特征和果实特征有一定的选择能力; (4)空壳率与虫蛀率成显著负相关, 空壳果实越多, 越易逃避黄连木广肩小蜂的寄生, 空壳果实的存在对完好种子起到了一定保护作用, 可能是黄连木防御昆虫寄生的重要机制; (5)空壳率和虫蛀率对种子完好率有显著直接负向效应, 而胸径、果序大小和果实产量对完好率为间接正向效应, 树高和果实大小为间接负向效应。可见, 黄连木植株特征和果实特征均不同程度地影响其果实产量和昆虫寄生, 从而影响黄连木的种子质量和种群更新。     

基于CSSL的高密度物理图谱定位水稻分蘖角度QTL

对以籼稻9311为遗传背景携带粳稻日本晴基因组的染色体片段置换系（CSSL）的遗传图谱进行分子标记加密,构建了含250个多态标记的高密度物理图谱。以119个CSSLs为材料,P≤0.001为阈值,筛选到分蘖角度与受体亲本9311差异极显著的10个系。结合物理图谱和代换作图方法,共鉴定出5个分蘖角度QTL,其中qTA11的加性效应表现为增效作用,来源于9311的等位基因;其余4个QTL的加性效应为减效作用,均来源于日本晴的等位基因。qTA6-1和qTA6-2分别被定位于第6染色体RM253–RM527之间的3.55Mb区段和RM3139–RM494的1.65Mb区间;qTA9被定位于第9染色体RM257–RM189之间的3.40Mb区段;qTA10被定位在第10染色体RM222–S10-1之间的2.10Mb区段;qTA11被定位于第11染色体RM1761–RM4504之间的3.30Mb区间。以上研究结果为水稻分蘖角度QTL的精细定位和株型育种提供了依据。     

Using pseudo-amino acid composition and support vector machine to predict protein structural class

As a result of genome and other sequencing projects, the gap between the number of known protein sequences and the number of known protein structural classes is widening rapidly. In order to narrow this gap, it is vitally important to develop a computational prediction method for fast and accurately determining the protein structural class. In this paper, a novel predictor is developed for predicting protein structural class. It is featured by employing a support vector machine learning system and using a different pseudo-amino acid composition (PseAA), which was introduced to, to some extent, take into account the sequence-order effects to represent protein samples. As a demonstration, the jackknife cross-validation test was performed on a working dataset that contains 204 non-homologous proteins. The predicted results are very encouraging, indicating that the current predictor featured with the PseAA may play an important complementary role to the elegant covariant discriminant predictor and other existing algorithms.     

QTL mapping of fire blight resistance in apple

Fire blight caused by the bacterium Erwinia amylovora is a severe threat to apple and pear orchards worldwide. Apple varieties exhibit a wide range of relative susceptibility/tolerance to fire blight. Although, no monogenic resistance against fire blight has been identified yet, recent evidence indicates the existence of quantitative resistance. Potential sources of fire blight resistance include several wild Malus species and some apple cultivars. F1 progenies of ‘Fiesta’בDiscovery’ were inoculated with the Swiss strain Ea 610 and studied under controlled conditions to identify quantitative trait loci (QTLs) for fire blight resistance. Disease was evaluated at four time points after inoculation. Shoot lesion length and the area under disease progress curve (AUDPC) values were used for QTL analysis. One significant (LOD score of 7.5–8.1, p<0.001) QTL was identified on the linkage group 7 of ‘Fiesta’ (F7). The F7 QTL explained about 37.5–38.6% of the phenotypic variation.     

石杉碱甲结构改造的研究进展

石杉碱甲是高效、高选择性的可逆性乙酰胆碱酯酶抑制剂,是治疗早老性痴呆症的一个有前景的药物.本文概述了石杉碱甲的性质、结构和构效关系,从结构简化、C10、吡啶酮环、脂桥环、环外双键和桥头氨基等方面综述了石杉碱甲结构改造的研究进展,并描述了所得的新型石杉碱甲类似物的抗乙酰胆碱酯酶的生物活性.在已合成的大量的石杉碱甲类似物中,部分类似物的活性优于天然石杉碱甲,石杉碱甲结构改造的研究取得了可喜的进展.     

The beginning of a beautiful friendship: cross-linking/mass spectrometry and modelling of proteins and multi-protein complexes

After more than a decade of method development, cross-linking in combination with mass spectrometry and bioinformatics is finally coming of age. This technology now provides improved opportunities for modelling by mapping structural details of functional complexes in solution. The structure of proteins or protein complexes is ascertained by identifying amino acid pairs that are positioned in close proximity to each other. The validity of this technique has recently been benchmarked for large multi-protein complexes, by comparing cross-link data with that from a crystal structure of RNA polymerase II. Here, the specific nature of this cross-linking data will be discussed to assess the technical challenges and opportunities for model building. We believe that once remaining technological challenges of cross-linking/mass spectrometry have been addressed and cross-linking/mass spectrometry data has been incorporated into modelling algorithms it will quickly become an indispensable companion of protein and protein complex modelling and a corner-stone of integrated structural biology.     

结构生物学研究的一些新进展

近年来,结构生物学的发展呈现出快速增长的新态势.精确测定的生物大分子结构以指数曲线增加,速率已达到5.1个/d.截止1998年4月的统计,已从PDB库释放出来的生物大分子原子坐标套数已达7 454.同时,以精确结构知识为基础揭示生命活动的规律已达到前所未有的深度和广度.在技术和方法方面,近年来第三代同步辐射的应用与一些新方法的结合,可用极小的晶体测定极大的结构,使某些膜蛋白及亚细胞器的精确结构测定成为可能.NMR溶液结构测定的分子质量已突破35 000,电子晶体学阐释结构的分辨率已接近0.3 nm,可探测的动态过程的时间尺度已达到10^－9 s.结构生物学与基因组学的结合正在产生一个新的科学领域：结构基因组学（structural genomics）,它在未来后基因组时代的生物学中占有重要地位.