酪氨酸激酶EphB2受体N端球状结构域的表达及纯化

根据酪氨酸激酶ＥｐｈＢ２受体的碱基序列,用ＰＣＲ方法扩增其结合配体的关键结构域Ｎ端球状区,定向克隆到融合表达质粒载体ｒＲＳＥＴ Ａ中,转化大肠杆菌ＪＭ１０９（ＤＥ３）。阳性克隆经ＩＰＴＧ诱导,由Ｔ７启动子调控表达了氨基端带６个连续组氨酸残基的融合蛋白。电泳分析表明,表达的融合蛋白主要以包含体的形式存在,约占细菌总蛋白的１４％。Ｗｅｓｔｅｒｎ印迹确证,利用Ｎｉ－ＮＴＡ金属螯合亲和色谱法在变性条件下对     

生态脆弱带不同区域近缘优势灌木的生理生态学特性

小叶锦鸡儿、中间锦鸡儿和柠条锦鸡儿分别为中国北方生态脆弱带典型区域——科尔沁沙地、毛乌素沙地和腾格里沙漠的优势灌木。为了探讨生长在地理位置相距很远的不同气候类型区、但亲缘关系较近的沙漠植物种之间特性的差异及近缘种间引种成功的可能性 ,对 3种灌木在原产地和引种地 (腾格里沙漠 )的气体交换、叶绿素荧光参数、β胡萝卜素和脯氨酸累积等特性进行了对比研究 ,结果显示 :各区优势灌木的气体交换特征不同 ,主要依照区域光照和温湿条件的不同组合而变化 ,各区域的环境条件组合最利于其建群种的生长 ;引进种对引种地环境变化的反应调节较乡土种敏感 ;地理位置相距较近的近缘种间生理特性相近 ,引种易于成功     

昆虫消化酶抑制剂与害虫防治

生物源昆虫消化酶抑制剂主要包括蛋白酶抑制剂和淀粉酶抑制剂。昆虫消化酶抑制剂能通过降低或抑制昆虫蛋白酶或淀粉酶的活性,而影响昆虫的正常生长发育,使其生长缓慢,虚弱,甚至导致死亡。本文就生物源昆虫消化酶抑制剂对昆虫生化、生理代谢和生长发育的影响,消化酶抑制剂的作用机理,植物中昆虫消化酶抑制剂的诱导产生等进行了介绍。同时,探讨了生物源蛋白酶和淀粉酶抑制剂在害虫防治中的应用前景。     

新型表达载体 pEC34 试用于人 γ 干扰素基因的高表达

构建了一个新的双顺反子表达载体ｐＥＣ３４,它的第一个顺反子是已高表达的ｅｒａ基因的部分序列,并带有原核翻译增强子。当检测ｐＥＣ３４的可用性时,获得了人γ－干扰素的极高表达。目的蛋白占菌体总蛋白的８５．５％,诱导后经ＳＤＳ－ＰＡＧＥ分析,出现分子量为１５．５ｋＤａ左右的蛋白表达带。Ｗｅｓｔｅｒｎ ｂｌｏｔ结果证实为人γ－干扰素。无压力传代３０次表达质粒仍然稳定,表明ｐＥＣ３４可能用作真核蛋白质高表达     

Next-generation sequencing to generate interactome datasets

Next-generation sequencing has not been applied to protein-protein interactome network mapping so far because the association between the members of each interacting pair would not be maintained in en masse sequencing. We describe a massively parallel interactome-mapping pipeline, Stitch-seq, that combines PCR stitching with next-generation sequencing and used it to generate a new human interactome dataset. Stitch-seq is applicable to various interaction assays and should help expand interactome network mapping.     

中国土壤和植物养分管理现状与改进策略

针对当前我国农业生产面临增肥不增产、土壤养分过量累积、化肥施用过量和养分利用效率下降等重大问题, 本文综述了中国土壤养分与植物营养状况的历史演变和研究进展, 提出中国植物营养科学研究应在跟踪国际科学前沿的同时, 紧密结合中国农业生产实际, 通过大幅度提高养分效率和作物产量为农业可持续发展做出应有的贡献。     

Characterizing the spatial distribution of giant pandas (Ailuropoda melanoleuca) in fragmented forest landscapes

Aim To examine the effects of forest fragmentation on the distribution of the entire wild giant panda (Ailuropoda melanoleuca) population, and to propose a modelling approach for monitoring the spatial distribution and habitat of pandas at the landscape scale using Moderate Resolution Imaging Spectro‐radiometer (MODIS) enhanced vegetation index (EVI) time‐series data. Location Five mountain ranges in south‐western China (Qinling, Minshan, Qionglai, Xiangling and Liangshan). Methods Giant panda pseudo‐absence data were generated from data on panda occurrences obtained from the third national giant panda survey. To quantify the fragmentation of forests, 26 fragmentation metrics were derived from 16‐day composite MODIS 250‐m EVI multi‐temporal data and eight of these metrics were selected following factor analysis. The differences between panda presence and panda absence were examined by applying significance testing. A forward stepwise logistic regression was then applied to explore the relationship between panda distribution and forest fragmentation. Results Forest patch size, edge density and patch aggregation were found to have significant roles in determining the distribution of pandas. Patches of dense forest occupied by giant pandas were significantly larger, closer together and more contiguous than patches where giant pandas were not recorded. Forest fragmentation is least in the Qinling Mountains, while the Xiangling and Liangshan regions have most fragmentation. Using the selected landscape metrics, the logistic regression model predicted the distribution of giant pandas with an overall accuracy of 72.5% (κ = 0.45). However, when a knowledge‐based control for elevation and slope was applied to the regression, the overall accuracy of the model improved to 77.6% (κ = 0.55). Main conclusions Giant pandas appear sensitive to patch size and isolation effects associated with fragmentation of dense forest, implying that the design of effective conservation areas for wild giant pandas must include large and dense forest patches that are adjacent to other similar patches. The approach developed here is applicable for analysing the spatial distribution of the giant panda from multi‐temporal MODIS 250‐m EVI data and landscape metrics at the landscape scale.     

A Paper-Fiber-Supported 3D SERS Substrate

Plasmonics - Surface-enhanced Raman scattering (SERS) spectroscopy is an effective approach for trace-level detection of molecular substance. Plasmonic metallic nanostructures with high...     

Suppressing Voltage Fading of Li‐Rich Oxide Cathode via Building a Well‐Protected and Partially‐Protonated Surface by Polyacrylic Acid Binder for Cycle‐Stable Li‐Ion Batteries

Li‐rich manganese based oxides (LRMOs) are considered an attractive high‐capacity cathode for advanced Li‐ion batteries; however, their poor cyclability and gradual voltage fading have hindered their practical applications. Herein, an efficient and facile strategy is proposed to stabilize the lattice structure of LRMOs by surface modification of polyacrylic acid (PAA). The PAA‐coated LRMO electrode exhibits only 104 mV of the voltage fading after 100 cycles and 88% capacity retention over 500 cycles. The structural stability is attributed to the carboxyl groups in PAA chains reacting with oxygen species on the surface of LRMO to form a uniform and tightly coated film, which significantly suppresses the dissolution of transition metal elements from the cathode materials into the electrolyte. Importantly, a H⁺/Li⁺ exchange reaction takes place between the LRMO and PAA, generating a proton‐doped surface layer. Density functional theory calculations and experimental evidence demonstrates that the H⁺ ions in the surface lattice efficiently inhibit the migration of transition metal ions, leading to a stabilized lattice structure. This surface modification approach may provide a new route to building a stable Li‐rich oxide cathode with high capacity retention and low voltage fading for practical Li‐ion battery applications.