32份辣椒种质遗传多样性的同工酶分析

基于叶片的过氧化物酶(POD)、超氧化物歧化酶(SOD)及花蕾的酯酶(EST)同工酶酶谱的聚丙烯酰胺凝胶电泳(PAGE)分析,对32份辣椒种质的遗传多样性进行了研究。结果表明:(1)共产生29种谱带,其中POD谱带13种234条,多态性位点比例(PPL)和相对迁移率(Rf)变化范围分别为50.0%~80.0%和0.05~0.69;SOD谱带8种140条,PPL、Rf分别为100.0%、0.38~0.88;EST谱带8种163条,PPL、Rf分别为50.0%~87.5%、0.16~0.89。(2)共发现多态位点26个,PPL、总基因频率(Pt)、等位基因平均数(A)、Nei基因多样性指数(He)、Shannon信息指数(SII)、平均遗传一致度(GI)和遗传距离(GD)分别为89.66%、0.578 7、1.896 6、0.272 2、0.415 2、0.736 6和0.314 3;32份辣椒材料的Jaccard遗传相似系数为0.348~0.905,并聚类为4个栽培种群。(3)4个栽培种群内基因多样度(HS)为0.143 6;种群间基因多样度(DST)、基因分化系数(GST)、GI和GD分别为0.149 4、0.51、0.784 4和0.246 6。(4)9份紫色辣椒种质共发现多态位点16个,PPL、Pt、A、He、SII、GI和GD分别为55.17%、0.611 1、1.551 7、0.194 1、0.291 9、0.781 6和0.249 4。研究认为,32份辣椒材料的总体、栽培种间和种内以及紫色材料间遗传分化程度大,为紫色辣椒杂交育种的亲本选配与绿色品种的遗传改良提供了参考依据。     

Toward a hypothesis-free understanding of how phosphorylation dynamically impacts protein turnover

The turnover measurement of proteins and proteoforms has been largely facilitated by workflows coupling metabolic labeling with mass spectrometry (MS), including dynamic stable isotope labeling by amino acids in cell culture (dynamic SILAC) or pulsed SILAC (pSILAC). Very recent studies including ours have integrated themeasurement of post-translational modifications (PTMs) at the proteome level (i.e., phosphoproteomics) with pSILAC experiments in steady state systems, exploring the link between PTMs and turnover at the proteome-scale. An open question in the field is how to exactly interpret these complex datasets in a biological perspective. Here, we present a novel pSILAC phosphoproteomic dataset which was obtained during a dynamic process of cell starvation using data-independent acquisition MS (DIA-MS). To provide an unbiased “hypothesis-free” analysis framework, we developed a strategy to interrogate how phosphorylation dynamically impacts protein turnover across the time series data. With this strategy, we discovered a complex relationship between phosphorylation and protein turnover that was previously underexplored. Our results further revealed a link between phosphorylation stoichiometry with the turnover of phosphorylated peptidoforms. Moreover, our results suggested that phosphoproteomic turnover diversity cannot directly explain the abundance regulation of phosphorylation during cell starvation, underscoring the importance of future studies addressing PTM site-resolved protein turnover.     

‘Candidatus Dichloromethanomonas elyunquensis’ gen. nov., sp. nov., a dichloromethane-degrading anaerobe of the Peptococcaceae family

Taxonomic assignments of anaerobic dichloromethane (DCM)-degrading bacteria remain poorly constrained but are important for understanding the microbial diversity of organisms contributing to DCM turnover in environmental systems. We describe the taxonomic classification of a novel DCM degrader in consortium RM obtained from pristine Rio Mameyes sediment. Phylogenetic analysis of full-length 16S rRNA gene sequences demonstrated that the DCM degrader was most closely related to members of the genera Dehalobacter and Syntrophobotulus, but sequence similarities did not exceed 94% and 93%, respectively. Genome-aggregate average amino acid identities against Peptococcaceae members did not exceed 66%, suggesting that the DCM degrader does not affiliate with any described genus. Phylogenetic analysis of conserved single-copy functional genes supported that the DCM degrader represents a novel clade. Growth strictly depended on the presence of DCM, which was consumed at a rate of 160 ± 3 μmol L^?1 d^?1. The DCM degrader attained 5.25 × 10⁷ ± 1.0 × 10⁷ cells per μmol DCM consumed. Fluorescence in situ hybridization revealed rod-shaped cells 4 ± 0.8 μm long and 0.4 ± 0.1 μm wide. Based on the unique phylogenetic, genomic, and physiological characteristics, we propose that the DCM degrader represents a new genus and species, ‘Candidatus Dichloromethanomonas elyunquensis’.     

Comparison of topological clustering within protein networks using edge metrics that evaluate full sequence,full structure,and active site microenvironment similarity

The development of accurate protein function annotation methods has emerged as a major unsolved biological problem. Protein similarity networks, one approach to function annotation via annotation transfer, group proteins into similarity-based clusters. An underlying assumption is that the edge metric used to identify such clusters correlates with functional information. In this contribution, this assumption is evaluated by observing topologies in similarity networks using three different edge metrics: sequence (BLAST), structure (TM-Align), and active site similarity (active site profiling, implemented in DASP). Network topologies for four well-studied protein superfamilies (enolase, peroxiredoxin (Prx), glutathione transferase (GST), and crotonase) were compared with curated functional hierarchies and structure. As expected, network topology differs, depending on edge metric; comparison of topologies provides valuable information on structure/function relationships. Subnetworks based on active site similarity correlate with known functional hierarchies at a single edge threshold more often than sequence- or structure-based networks. Sequence- and structure-based networks are useful for identifying sequence and domain similarities and differences; therefore, it is important to consider the clustering goal before deciding appropriate edge metric. Further, conserved active site residues identified in enolase and GST active site subnetworks correspond with published functionally important residues. Extension of this analysis yields predictions of functionally determinant residues for GST subgroups. These results support the hypothesis that active site similarity-based networks reveal clusters that share functional details and lay the foundation for capturing functionally relevant hierarchies using an approach that is both automatable and can deliver greater precision in function annotation than current similarity-based methods.     

Characterisation of the conformational properties of urea-unfolded Im7: implications for the early stages of protein folding

The colicin immunity protein Im7 folds from its unfolded state in 6 M urea to its native four-helix structure through an on-pathway intermediate that lacks one of the helices of the native structure (helix III). In order to further characterize the folding mechanism of Im7, we have studied the conformational properties of the protein unfolded in 6 M urea in detail using heteronuclear NMR. Triple-resonance experiments with 13C/15N-labelled Im7 in 6 M urea provided almost complete resonance assignments for the backbone nuclei, and measurement of backbone 15N relaxation parameters allowed dynamic ordering of the unfolded polypeptide chain to be investigated. Reduced spectral density mapping and fitting backbone R2 relaxation rates to a polymer dynamics model identified four clusters of interacting residues, each predicted by the average area buried upon folding for each residue. Chemical shift analyses and measurement of NOEs detected with a long mixing-time 1H-1H-15N NOESY-HSQC spectrum confirmed the formation of four clusters. Each cluster of interacting side-chains in urea-unfolded Im7 occurs in a region of the protein that forms a helix in the protein, with the largest clusters being associated with the three long helices that are formed in the on-pathway folding intermediate, whilst the smallest cluster forms a helix only in the native state. NMR studies of a Phe15Ala Im7 variant and a protein in which residues 51-56 are replaced by three glycine residues (H3G3 Im7*), indicated that the clusters do not interact with each other, possibly because they are solvated by urea, as indicated by analysis of NOEs between the protein and the solvent. Based on these data, we suggest that dilution of the chaotrope to initiate refolding will result in collapse of the clusters, leading to the formation of persistent helical structure and the generation of the three-helix folding intermediate.     

综合性医院平均住院日绩效指标集的构建与应用

目的 构建以平均住院日为核心的绩效指标集,在此基础上,制定绩效目标及关键控制举措,并跟踪实际的执行效果。方法 收集2008年12月—2013年6月共计55个月的重点科室平均住院日数据,运用相关性分析和多元线性回归提取影响平均住院日的显著因素,根据模型结论,研究分析绩效控制目标和举措并进行应用。结果 现阶段有效缩短平均住院日应主要解决“收容收治比及床位资源的利用效率”两对关键矛盾,模型应用后,医院院整体平均住院日由原来的15.7天降低为11.6天,重点科室平均住院日由19.2天降低为14.6天。结论 平均住院日绩效指标集的应用有助于优化医院资源配置,达到显著提高整体运营效率的目的。     

Cofactor‐binding sites in proteins of deviating sequence: Comparative analysis and clustering in torsion angle,cavity, and fold space

Small molecules are recognized in protein‐binding pockets through surface‐exposed physicochemical properties. To optimize binding, they have to adopt a conformation corresponding to a local energy minimum within the formed protein–ligand complex. However, their conformational flexibility makes them competent to bind not only to homologous proteins of the same family but also to proteins of remote similarity with respect to the shape of the binding pockets and folding pattern. Considering drug action, such observations can give rise tounexpected and undesired cross reactivity. In this study, datasets of six different cofactors (ADP, ATP, NAD(P)(H), FAD, and acetyl CoA, sharing an adenosine diphosphate moiety as common substructure), observed in multiple crystal structures of protein–cofactor complexes exhibiting sequence identity below 25%, have been analyzed for the conformational properties of the bound ligands, the distribution of physicochemical properties in the accommodating protein‐binding pockets, and the local folding patterns next to the cofactor‐binding site. State‐of‐the‐art clustering techniques have been applied to group the different protein–cofactor complexes in the different spaces. Interestingly, clustering in cavity (Cavbase) and fold space (DALI) reveals virtually the same data structuring. Remarkable relationships can be found among the different spaces. They provide information on how conformations are conserved across the host proteins and which distinct local cavity and fold motifs recognize the different portions of the cofactors. In those cases, where different cofactors are found to be accommodated in a similar fashion to the same fold motifs, only a commonly shared substructure of the cofactors is used for the recognition process. Proteins 2012. © 2011 Wiley Periodicals, Inc.     

Formation mechanism of cross‐linking Maillard compounds in peptide–xylose systems

The formation mechanism of Maillard peptides was explored in Maillard reaction through diglycine/glutathione(GSH)/(Cys‐Glu‐Lys‐His‐Ile‐Met)–xlyose systems by heating at 120 °C for 30–120 min. Maximum fluorescence intensity of Maillard reaction products (MRPs) with an emission wavelength of 420~430 nm in all systems was observed, and the intensity values were proportional to the heating time. Taken diglycine/GSH–[¹³C₅]xylose systems as a control, it was proposed that the compounds with high m/z values of 379 and 616 have the high molecular weight (HMW) products formed by cross‐linking of peptides and sugar. In (Cys‐Glu‐Lys‐His‐Ile‐Met)–xylose system, the m/z value of HMW MRPs was not observed, which might be due to the weak signals of these products. According to the results of gel permeation chromatography, HMW MRPs were formed by Maillard reaction, especially in (Cys‐Glu‐Lys‐His‐Ile‐Met)–xylose system, the percentage of Maillard peptides reached 52.90%. It was concluded that Maillard peptides can be prepared through the cross‐linking of sugar and small peptides with a certain MW range. Copyright © 2012 European Peptide Society and John Wiley & Sons, Ltd.     

A CLIQUE algorithm using DNA computing techniques based on closed-circle DNA sequences

DNA computing has been applied in broad fields such as graph theory, finite state problems, and combinatorial problem. DNA computing approaches are more suitable used to solve many combinatorial problems because of the vast parallelism and high-density storage. The CLIQUE algorithm is one of the gird-based clustering techniques for spatial data. It is the combinatorial problem of the density cells. Therefore we utilize DNA computing using the closed-circle DNA sequences to execute the CLIQUE algorithm for the two-dimensional data. In our study, the process of clustering becomes a parallel bio-chemical reaction and the DNA sequences representing the marked cells can be combined to form a closed-circle DNA sequences. This strategy is a new application of DNA computing. Although the strategy is only for the two-dimensional data, it provides a new idea to consider the grids to be vertexes in a graph and transform the search problem into a combinatorial problem.     

宁夏盐池荒漠草原植被的数量分类和排序

为检验荒漠草原封育恢复的效果,对宁夏盐池围封9年的退化草场进行了植被调查,共记录34个物种,分属于12个科、27个属,其中豆科(9种)、禾本科(7种)、菊科(6种)所含物种数较多.与封育前相比,物种组成基本相同,常见种和建群种发生了明显变化.采用PCA排序和分层聚类将80个样方分为长芒草、白草、赖草3个群系,依据建群种或优势种的生物学特性将其生境划分为旱生生境、中生生境和轻度盐渍化生境.3个群系的演替速率不同,其中长芒草群系演替进入反应阶段,赖草群系的演替等级相对较高.群系间存在激烈的资源竞争关系,风蚀能够促进赖草群系的进一步扩大.建议通过划区轮牧的方式合理调控长芒草群系和赖草群系的放牧时期,以提高草场的放牧利用价值,降低赖草群系的扩张危险.