Calcium binding mode of gamma-carboxyglutamic acids in conantokins.

Conantokin-T (con-T) and conantokin-G (con-G) are two highly homologous peptide toxins found in Conus venom. The former is a 21-residue peptide with four gamma-carboxyglutamic acid (Gla) residues (at positions 3, 4, 10 and 14), while the latter is a 17-residue peptide with five gamma-carboxyglutamic acid residues (at positions 3, 4, 7, 10 and 14). Despite the apparent similarity in number and relative positions of the gamma-carboxyglutamic acid residues, (113)Cd-NMR studies indicated a distinct metal binding behavior for con-G and con-T. There appears to be four binding sites in con-G in contrast to one metal binding site in con-T. To elucidate the mode of calcium binding by the gamma-carboxyglutamic acid residues in these conantokins, we designed various analogous peptides with their gamma-carboxyglutamic acid replaced by other amino acid residues. (113)Cd-NMR experiments on conantokin analogues reveal that the major difference in the number of metal binding sites between con-G and con-T is due to the residue at position 7. We also performed molecular simulations to calculate the relative binding free energies of several potential binding sites. Based on our theoretical and experimental results, we propose a 'four-site' binding model for conantokin-G and a 'single-site' binding model for conantokin-T.     

Genistein inhibits calcium release by platelet-derived growth factor but not bradykinin or cadmium in human fibroblasts

Cd²⁺ provokes inositol trisphosphateproduction and releases stored Ca²⁺, apparently by binding to a zinc site in the external domain of an orphan receptor. One pM Cd²⁺ evokes an immediate spike in cytosolic free Ca²⁺, which is similar to that evoked by bradykinin. Platelet-derived growth factor (PDGF) also increases free Ca²⁺ in human dermalfibroblasts, but there is a distinct lag before free Ca²⁺ rises in response to PDGF. Genistein, which selectively inhibits tyrosine kinases, markedly inhibited Ca²⁺ mobilization evoked by PDGF. Calcium mobilization triggered by cadmium or bradykinin was relatively insensitive to genistein. The PDGF receptor is known to be a tyrosine kinase, whichphosphorylates and thereby activatesphospholipase C, whereas a G protein couples the bradykinin receptor to anotherphospholipase C isoform. These findings support the hypothesis that the orphan receptor triggered by cadmium is coupled to phospholipase C via a G protein.Abbreviations BSA bovine serum albumin - BK bradykinin - [Ca²⁺]_i cytosolic free calcium - DME Dulbecco's modified Eagle's medium - FBS fetal bovine serum - HEPES 4-(2-hydroxyethyl)-1-piperazine-ethanesulfonic acid - IC₅₀ concentration that produces 50% inhibition - PDGF platelet-derived growth factor - PSS physiological salts solution - SE standard error of the mean     

甘肃不同矿区样品中的细菌多样性

甘肃矿产资源丰富,矿区酸性矿坑水(acid mine drainage,AMD)及周边土壤中嗜酸微生物种类丰富,具有相当大的研究价值.本研究通过Illumina高通量测序方法,对甘肃省4个矿区AMD及周边土壤中的细菌群落组成、相似性及功能组成进行分析.结果 表明,煤矿样品GNM细菌物种组成最为丰富,金矿样品LNJ1与紫金矿样品LNZJK细菌组成最相似,与属于铜矿的BYT物种较相近,与LNJ1同地区的LNJ2样品细菌组成相比较远.所有样品细菌主要分为放线菌门(Actinobacteria)、拟杆菌门(Bacteriodetes)、厚壁菌门(Firmicutes)和变形菌门(Proteobacteria)四大门,其中变形菌门(Proteobacteria)丰度最高.放线菌门(Actinobacteria)中不动杆菌属(Acinetobacter)、类诺卡氏属(Nocardioides)和芽球菌属(Blastococcus)表现出较高丰度;厚壁菌门(Firmicutes)中微小杆菌属(Exiguobacterium)和芽孢杆菌属(Bacillus)表现出较高丰度,且微小杆菌属(Exiguobacterium)丰度极高.通过功能预测发现,与煤矿样品GNM相比,LNJ1、LNJ2、BYT和LNZJK4个金属矿区样品中的微生物具有较强的氨基酸与碳源的转运与代谢、转录等功能以及较低的能量生产与转运、无机离子转运与代谢能力.通过探究AMD中的细菌多样性及其与重金属之间的相互关系,了解AMD采样区微生物群落结构,以期挖掘出更为丰富的具有重金属抗性的菌株资源,以应用于生物浸矿和环境修复等领域.     

2009年徽州稻区白背飞虱种群消长及虫源性质

徽州稻区作为我国白背飞虱北迁与南迁的重要中转站之一,地理位置十分特殊,分析其中、晚稻田白背飞虱种群动态及虫源性质,对皖南稻区乃至江淮稻区白背飞虱预测预报和防治工作意义重大。通过田间系统调查和长翅雌虫卵巢解剖,研究了徽州稻区白背飞虱种群消长及虫源性质。运用GrADS和ArcGIS分析2009年白背飞虱主要迁入期的天气背景,并利用HYSPLIT轨迹模拟平台对主要迁入期进行数值模拟和虫源地分析。结果表明:2009年徽州稻区白背飞虱在中、晚稻以第3代危害为主。中稻田第2—4代白背飞虱属于基本迁出型,同时第3代前半期还存在部分滞留本地繁殖或者是外地白背飞虱迁入现象;而晚稻第3代后半期白背飞虱属于基本迁入型,第4—5代属于基本迁出型。风切变、下沉气流和强降水可作为徽州稻区预测白背飞虱迁入的气象背景。2009年徽州稻区白背飞虱虫源地主要分布在湘南、赣中及赣南。     

Neuroprotective and nootropic drug noopept rescues α-synuclein amyloid cytotoxicity

Parkinson's disease is a common neurodegenerative disorder characterized by α-synuclein (α-Syn)-containing Lewy body formation and selective loss of dopaminergic neurons in the substantia nigra. We have demonstrated the modulating effect of noopept, a novel proline-containing dipeptide drug with nootropic and neuroprotective properties, on α-Syn oligomerization and fibrillation by using thioflavin T fluorescence, far-UV CD, and atomic force microscopy techniques. Noopept does not bind to a sterically specific site in the α-Syn molecule as revealed by heteronuclear two-dimensional NMR analysis, but due to hydrophobic interactions with toxic amyloid oligomers, it prompts their rapid sequestration into larger fibrillar amyloid aggregates. Consequently, this process rescues the cytotoxic effect of amyloid oligomers on neuroblastoma SH-SY5Y cells as demonstrated by using cell viability assays and fluorescent staining of apoptotic and necrotic cells and by assessing the level of intracellular oxidative stress. The mitigating effect of noopept against amyloid oligomeric cytotoxicity may offer additional benefits to the already well-established therapeutic functions of this new pharmaceutical.     

Quorum Sensing Is a Language of Chemical Signals and Plays an Ecological Role in Algal-Bacterial Interactions

Algae are ubiquitous in the marine environment, and the ways in which they interact with bacteria are of particular interest in the field of marine ecology. The interactions between primary producers and bacteria impact the physiology of both partners, alter the chemistry of their environment, and shape microbial diversity. Although algal-bacterial interactions are well known and studied, information regarding the chemical-ecological role of this relationship remains limited, particularly with respect to quorum sensing (QS), which is a system of stimuli and response correlated to population density. In the microbial biosphere, QS is pivotal in driving community structure and regulating behavioral ecology, including biofilm formation, virulence, antibiotic resistance, swarming motility, and secondary metabolite production. Many marine habitats, such as the phycosphere, harbor diverse populations of microorganisms and various signal languages (such as QS-based autoinducers). QS-mediated interactions widely influence algal-bacterial symbiotic relationships, which in turn determine community organization, population structure, and ecosystem functioning. Understanding infochemicals-mediated ecological processes may shed light on the symbiotic interactions between algae host and associated microbes. In this review, we summarize current achievements about how QS modulates microbial behavior, affects symbiotic relationships, and regulates phytoplankton chemical-ecological processes. Additionally, we present an overview of QS-modulated co-evolutionary relationships between algae and bacterioplankton, and consider the potential applications and future perspectives of QS.     

土壤呼吸温度敏感性的影响因素和不确定性

土壤呼吸是陆地生态系统碳循环的重要环节之一, 其对温度升高的敏感程度在很大程度上决定着全球气候变化与碳循环之间的反馈关系。为了深刻理解地下生态过程对气候变化的响应和适应,本文综述了土壤呼吸温度敏感性（Q10）的影响因子及其内在机制,并分析了当前研究存在的不确定性。土壤生物、底物质量和底物供应显著调控着土壤呼吸的Q10值,但研究结论仍然有很大差异。温度和水分等环境因子则通过对土壤生物和底物的影响而作用于土壤呼吸的温度敏感性,一般情况下,随着温度的升高,土壤呼吸的Q10值下降;水分过高或过低时Q10值降低。另外本文从土壤温度测定深度、时空尺度、土壤呼吸不同组分温度敏感性差异、激发效应以及采用方法的不同等几方面分析了温度敏感性研究存在的不确定性。并在此基础上, 指出了未来拟重点加强的研究方向:（1）土壤呼吸不同组分温度敏感性差异的机理;（2）底物质量和底物供应对温度敏感性的交互影响;（3）生物因子对土壤呼吸温度敏感性的影响。     

Novel aminopeptidase N inhibitors derived from antineoplaston AS2–5 (Part I)

Overexpression of zinc-dependent metalloproteinase, aminopeptidase N (APN/CD13), is considered to be involved in the process of tumor invasion and metastasis. Herein we describe the synthesis and in vitro enzymatic inhibition assay of antineoplaston AS2–5 scaffold peptidomimetic compounds. The results demonstrated that most of these l-iso-glutamine derivatives displayed selective inhibitory activity against APN as compared with MMP-2, with IC₅₀ values in the micromole range. The structure–activity relationships were also briefly discussed.     

Enhanced membrane protein topology prediction using a hierarchical classification method and a new scoring function

The prediction of transmembrane (TM) helix and topology provides important information about the structure and function of a membrane protein. Due to the experimental difficulties in obtaining a high-resolution model, computational methods are highly desirable. In this paper, we present a hierarchical classification method using support vector machines (SVMs) that integrates selected features by capturing the sequence-to-structure relationship and developing a new scoring function based on membrane protein folding. The proposed approach is evaluated on low- and high-resolution data sets with cross-validation, and the topology (sidedness) prediction accuracy reaches as high as 90%. Our method is also found to correctly predict both the location of TM helices and the topology for 69% of the low-resolution benchmark set. We also test our method for discrimination between soluble and membrane proteins and achieve very low overall false positive (0.5%) and false negative rates (0 to approximately 1.2%). Lastly, the analysis of the scoring function suggests that the topogeneses of single-spanning and multispanning TM proteins have different levels of complexity, and the consideration of interloop topogenic interactions for the latter is the key to achieving better predictions. This method can facilitate the annotation of membrane proteomes to extract useful structural and functional information. It is publicly available at http://bio-cluster.iis.sinica.edu.tw/~bioapp/SVMtop.