基于Illumina HiSeq测序技术研究吡虫啉对意大利蜜蜂雄蜂的影响

[目的]雄蜂对蜂群繁衍有着非常重要的作用.本研究旨在探究吡虫啉对意大利蜜蜂Apis mellifera Ligustica雄蜂生长发育和基因表达产生的影响.[方法]以意大利蜜蜂雄蜂为研究对象,分别以0.00001、0.0001和0.001 μg/μL浓度的吡虫啉对雄蜂幼虫进行连续饲喂处理.每天观察并记录幼虫的发育形态及死亡率,在雄蜂幼虫后期(移虫后6d)测量幼虫体重.利用Illumina HiSeq测序技术对经吡虫啉处理的雄蜂进行转录组测序,进而对差异表达基因进行深入分析.[结果]取食吡虫啉后的雄蜂幼虫,体重低于正常雄蜂,当浓度高于0.0001μg/μL时差异显著;雄蜂幼虫取食吡虫啉后出现死亡现象,且死亡率随吡虫啉浓度的升高而增大;差异表达基因分析结果上调与下调基因数量分别为390个和130个.GO富集分析结果上调基因共分布于55个GO条目,富集基因数量最多的是细胞进程、细胞、细胞组件、细胞膜、细胞膜组件、结合,下调基因共分布于48个GO条目,富集基因数量最多的是细胞进程、细胞、细胞组件.富集在有关生殖功能的差异表达基因中,上调基因数量为21个,下调基因数量为5个.KEGG代谢通路富集分析结果上调基因富集在159个通路上,其中富集基因数最多的是蛋白质消化吸收和神经活性配体-受体相互作用通路.下调基因富集在71个通路上,其中富集基因数最多的是溶酶体、胰液分泌、神经活性配体-受体相互作用通路.[结论]吡虫啉能抑制意大利蜜蜂雄蜂的生长发育,甚至造成幼虫死亡,同时,可以影响雄蜂的神经系统、代谢系统和生殖系统等.本研究结果为蜜蜂资源保护提供理论依据.     

Identification of Important Nodes in Directed Biological Networks: A Network Motif Approach

Identification of important nodes in complex networks has attracted an increasing attention over the last decade. Various measures have been proposed to characterize the importance of nodes in complex networks, such as the degree, betweenness and PageRank. Different measures consider different aspects of complex networks. Although there are numerous results reported on undirected complex networks, few results have been reported on directed biological networks. Based on network motifs and principal component analysis (PCA), this paper aims at introducing a new measure to characterize node importance in directed biological networks. Investigations on five real-world biological networks indicate that the proposed method can robustly identify actually important nodes in different networks, such as finding command interneurons, global regulators and non-hub but evolutionary conserved actually important nodes in biological networks. Receiver Operating Characteristic (ROC) curves for the five networks indicate remarkable prediction accuracy of the proposed measure. The proposed index provides an alternative complex network metric. Potential implications of the related investigations include identifying network control and regulation targets, biological networks modeling and analysis, as well as networked medicine.     

杭州西湖水质预测方法和结果分析

本文利用二维对流扩散模型对西湖水质总磷浓度进行预测,给出方程的理论基础,编制FORTRAN77程序,在386微机上实现预测,并对预测结果作了较为详细的分析．本模型对水质环境防治决策具有实际意义．     

Inhibition of tyrosinase by gastrodin: An integrated kinetic-computational simulation analysis

We studied the inhibitory effect of gastrodin on tyrosinase using inhibition kinetics and computational simulation. Gastrodin reversibly inhibited tyrosinase in a mixed-type manner with K_i = 123.8 ± 20.2 mM. Time-interval kinetics revealed the inhibition to be a first-order process with mono- and bi-phasic components. Using AutoDock Vina, we calculated a binding energy of ?6.3 kcal/mol for gastrodin and tyrosinase, and we performed a molecular dynamics simulation of the tyrosinase–gastrodin interaction. The simulation results suggested that gastrodin interacts primarily with histidine residues in the active site. A 10-ns molecular dynamics simulation showed that one copper ion in the tyrosinase active site was responsible for the interaction with gastrodin. Our study provides insight into the inhibition of tyrosinase by the hydroxyl groups of gastrodin. A combination of inhibition kinetics and computational calculations may help to confirm the inhibitory action of gastrodin on tyrosinase and define the mechanisms of inhibition.     

Computational investigation of the enzymatic mechanisms of phosphothreonine lyase

SpvC, a virulence effector injected through type III secretion system by some Salmonella serovars, belongs to the newly discovered enzyme family, phosphothreonine lyase. Previous experimental studies have demonstrated that SpvC irreversibly inactivates mitogen-activated protein kinases by removing the phosphate group from phosphothreonine-containing substrate through a β-elimination mechanism, and results in a β-methyldehydroalanine product. Interestingly, further biochemical investigations also indicated a secondary reaction occurring other than elimination, where a covalently bound complex is formed. Here, we employed molecular dynamics simulations and quantum mechanics calculations to gain insights on the microscopic details of such novel reaction mechanisms. Our theoretical results are consistent with the experimental observations, in which the critical stages of SpvC catalyzed reaction are revealed and the roles of several important binding site residues are reconciled. The deprotonation and precise position of the catalytic base K136 are facilitated by the formation of the fully desolvated active site upon substrate binding. The abstraction of the alpha hydrogen by K136 and the elimination of the phosphate group occur nearly simultaneously, promoted by the proton donation from the catalytic acid H106, and thus strongly supports an E2-like mechanism. K104, which is not directly involved in the enzymatic reaction, stabilizes the transition state and facilitates the reaction to occur. Remarkably, the subsequent deprotonation of K136 happens to be a natural sequel of the primary elimination reaction, restores its nucleophile capacity to attack the double bond containing elimination product, and leads to a covalently bound complex via a Michael-addition mechanism. The reaction mechanism used by phosphothreonine lyases might serve as a method of programmed regulation to fine tune their enzymatic activity.     

淋巴抑瘤素对五株肿瘤细胞株的体外抑瘤效应的分析研究

淋巴细胞经刺激后分泌一种多肽类物质,这种细胞因子被称为淋巴抑瘤素。在体外培养中发现不同来源的肿瘤细胞对淋巴抑瘤素的敏感性是不同的,表现为三种类型:强反应株,此类细胞对其抑瘤效应反应强烈,抑制率达90％以上;弱反应株,此类细胞的抑制率在70％左右;另一类为负反应株,此类细胞对淋巴抑瘤素不但不表现出抑瘤效应,反而出现助长肿瘤细胞生长的效应。由于体外测定中有上述现象,所以建议在体内应用这类细胞因子时,应像抗菌素测抗菌谱一样测定其抗瘤谱,以利于对症用药。     

Dynamics of Maize Carbon Contribution to Soil Organic Carbon in Association with Soil Type and Fertility Level

Soil type and fertility level influence straw carbon dynamics in the agroecosystems. However, there is a limited understanding of the dynamic processes of straw-derived and soil-derived carbon and the influence of the addition of straw carbon on soil-derived organic carbon in different soils associated with different fertility levels. In this study, we applied the in-situ carborundum tube method and ¹³C-labeled maize straw (with and without maize straw) at two cropland (Phaeozem and Luvisol soils) experimental sites in northeast China to quantify the dynamics of maize-derived and soil-derived carbon in soils associated with high and low fertility, and to examine how the addition of maize carbon influences soil-derived organic carbon and the interactions of soil type and fertility level with maize-derived and soil-derived carbon. We found that, on average, the contributions of maize-derived carbon to total organic carbon in maize-soil systems during the experimental period were differentiated among low fertility Luvisol (from 62.82% to 42.90), high fertility Luvisol (from 53.15% to 30.00%), low fertility Phaeozem (from 58.69% to 36.29%) and high fertility Phaeozem (from 41.06% to 16.60%). Furthermore, the addition of maize carbon significantly decreased the remaining soil-derived organic carbon in low and high fertility Luvisols and low fertility Phaeozem before two months. However, the increasing differences in soil-derived organic carbon between both soils with and without maize straw after two months suggested that maize-derived carbon was incorporated into soil-derived organic carbon, thereby potentially offsetting the loss of soil-derived organic carbon. These results suggested that Phaeozem and high fertility level soils would fix more maize carbon over time and thus were more beneficial for protecting soil-derived organic carbon from maize carbon decomposition.     

[Cu4(H2O)4(dmapox)2(btc)]n · 10nH2O: The first two-dimensional polymeric copper(II) complex with bridging μ-trans-oxamidate and μ4-1,2,4,5-benzentetracarboxylato ligands: Synthesis, crystal structure and DNA binding studies

A two-dimensional copper(II) polymer with formula of [Cu₄(H₂O)₄(dmapox)₂(btc)]_n · 10nH₂O, where dmapox is the dianion of N,N′-bis[3-(dimethylamino)propyl]oxamide and btc is the tetra-anion of 1,2,4,5-benzenetetracarboxylic acid, was synthesized and characterized by elemental analysis, conductivity measurement, IR and electronic spectral studies. The crystal structure of the complex has been determined by X-ray single-crystal diffraction. The structure consists of crystallized water molecules and neutral two-dimensional copper(II) coordination polymeric networks constructed both by the bis-tridentate μ-trans-dmapox and tetra-monodentate μ₄-btc bridging ligands. Each btc ligand links four trans-dmapox-bridged binuclear copper(II) building blocks [Cu₂(H₂O)₂(trans-dmapox)]²⁺ and each binuclear copper(II) building block attaches to two btc ligands forming an infinite 2D layer which consists of 4+4 grids with dimensions of 13.563(5) × 15.616(5) Å. The environment around the copper(II) atom can be described as a distorted square-pyramid and the Cu?Cu separations through μ-trans-dmapox and μ₄-btc bridging ligands are 5.225 Å (Cu1-Cu1ⁱ), 5.270 Å (Cu2-Cu2ⁱⁱ), 6.115 Å (Cu1-Cu2), 9.047 Å (Cu1-Cu2ⁱⁱⁱ) and 10.968 Å (Cu1-Cu1ⁱⁱⁱ), respectively. Abundant hydrogen bonds among the crystallized, the coordinated water molecules, and the uncoordinated carboxyl oxygen atoms cross-link the two-dimensional layers into an overall three-dimensional channel-like framework. The interaction of the copper(II) polymer with calf thymus DNA (CT-DNA) has been investigated by using absorption, emission spectral and electrochemical techniques. The results indicate that the copper(II) polymer interacts with DNA strongly (K_b = 4.8 × 10⁵ M⁻¹ and K_sv = 1.1 × 10⁴) and the interaction mode between the copper(II) polymer and DNA may be the groove binding. To the best of our knowledge, this is the first report about the crystal structure and DNA-binding studies of a two-dimensional copper(II) polymer bridged both by the trans-oxamidate and btc ligands.