The complete amino acid sequence of the pediocin-like antimicrobial peptide leucocin C

The pediocin-like antimicrobial peptide leucocin C produced by a strain of Leuconostoc mesenteroides has been purified using a recently developed rapid two-step procedure. The complete and corrected amino acid sequence of the peptide has been determined by Edman degradation of the intact peptide and a C-terminal fragment generated by cleavage with Asp-N endoprotease. Leucocin C contained 43 residues with the following sequence: KNYGNGVHCTKKGCSVDWGYAWTNIANNSVMNGLTGGNAGWHN. The molecular weight of leucocin C as determined by mass spectrometry was 4595, which is consistent with the theoretical molecular weight of 4596 calculated from the sequence. Moreover, the molecular weights of the two fragments generated by cleavage with Asp-N were also consistent with the determined sequence.     

A community resource benchmarking predictions of peptide binding to MHC-I molecules

Recognition of peptides bound to major histocompatibility complex (MHC) class I molecules by T lymphocytes is an essential part of immune surveillance. Each MHC allele has a characteristic peptide binding preference, which can be captured in prediction algorithms, allowing for the rapid scan of entire pathogen proteomes for peptide likely to bind MHC. Here we make public a large set of 48,828 quantitative peptide-binding affinity measurements relating to 48 different mouse, human, macaque, and chimpanzee MHC class I alleles. We use this data to establish a set of benchmark predictions with one neural network method and two matrix-based prediction methods extensively utilized in our groups. In general, the neural network outperforms the matrix-based predictions mainly due to its ability to generalize even on a small amount of data. We also retrieved predictions from tools publicly available on the internet. While differences in the data used to generate these predictions hamper direct comparisons, we do conclude that tools based on combinatorial peptide libraries perform remarkably well. The transparent prediction evaluation on this dataset provides tool developers with a benchmark for comparison of newly developed prediction methods. In addition, to generate and evaluate our own prediction methods, we have established an easily extensible web-based prediction framework that allows automated side-by-side comparisons of prediction methods implemented by experts. This is an advance over the current practice of tool developers having to generate reference predictions themselves, which can lead to underestimating the performance of prediction methods they are not as familiar with as their own. The overall goal of this effort is to provide a transparent prediction evaluation allowing bioinformaticians to identify promising features of prediction methods and providing guidance to immunologists regarding the reliability of prediction tools.     

The complete amino acid sequence and identification of the active-site arginine peptide of Escherichia coli 2-keto-4-hydroxyglutarate aldolase

The complete amino acid sequence of 2-keto-4-hydroxyglutarate aldolase from Escherichia coli has been established in the following manner. After being reduced with dithiothreitol, the purified aldolase was alkylated with iodoacetamide and subsequently digested with trypsin. The resulting 19 peptide peaks observed by high performance liquid chromatography, which compared with 21 expected tryptic cleavage products, were all isolated, purified, and individually sequenced. Overlap peptides were obtained by a combination of sequencing the N-terminal region of the intact aldolase and by cleaving the intact enzyme with cyanogen bromide followed by subdigestion of the three major cyanogen bromide peptides with either Staphylococcus aureus V8 endoproteinase, endoproteinase Lys C, or trypsin after citraconylation of lysine residues. The primary structure of the molecule was determined to be as follows. (formula; see text) 2-Keto-4-hydroxyglutarate aldolase from E. coli consists of 213 amino acids with a subunit and a trimer molecular weight of 22,286 and 66,858, respectively. No microheterogeneity is observed among the three subunits. The peptide containing the active-site arginine residue (Vlahos, C. J., Ghalambor, M. A., and Dekker, E. E. (1985) J. Biol. Chem. 260, 5480-5485) was also isolated and sequenced; this arginine residue occupies position 49. The Schiff base-forming lysine residue (Vlahos, C. J., and Dekker, E. E. (1986) J. Biol. Chem. 261, 11049-11055) is located at position 133. Whereas the active-site lysine peptide of this aldolase shows 65% homology with the same peptide of 2-keto-3-deoxy-6-phosphogluconate aldolase from Pseudomonas putida, these two proteins in toto show 49% homology.     

The land resource for agriculture

Approximately 11% of the world's land area is used, and in addition some 12% (at present grassland and forest) has potential for, crop production. The actual production could be greatly increased by intensification and improved farm management. Unfortunately, much land is misused or withdrawn from agriculture. Recent studies show that on a global scale all land reserves will be lost within one century, and reserves of highly productive land will be lost in twenty-five years. There are important regional differences in the productive capacity of land and in socio-economic and political conditions that determine land use and food production. All stages of methods of agricultural production which have been developed during the last ten thousand years still exist. A study of the various systems of production and types of land use reveals some interesting aspects for the future and will be discussed in the lecture.     

2019新型冠状病毒信息库

2019年12月在中国武汉开始爆发的新型肺炎已造成全球25个国家/地区的31516人感染、638人死亡(截止2020年2月7日16时),引起该肺炎的病毒被世界卫生组织命名为2019新型冠状病毒(2019-nCoV)。为促进2019-nCoV数据共享应用并及时向全球公众提供病毒的相关信息,国家生物信息中心(CNCB)/国家基因组科学数据中心(NGDC)建立了2019新型冠状病毒信息库(2019nCoVR,https://bigd.big.ac.cn/ncov)。该信息库整合了来自德国全球流感病毒数据库、美国国家生物技术信息中心、深圳(国家)基因库、国家微生物科学数据中心及CNCB/NGDC等机构公开发布的2019-nCoV核苷酸和蛋白质序列数据、元信息、学术文献、新闻动态、科普文章等信息,开展了不同冠状病毒株的基因组序列变异分析并提供可视化展示。同时,2019nCoVR无缝对接CNCB/NGDC的相关数据库,提供新测序病毒株系的基因组原始测序数据、组装后序列的在线汇交、管理与共享、国际数据库同步发布等数据服务。本文对2019nCoVR数据汇交、管理、发布及使用等进行全面阐述,以方便用户了解该信息库各项功能及数据状况,为加速开展病毒的分类溯源、变异演化、快速检测、药物研发以及新型肺炎的精准预防与治疗等研究提供重要基础。     

The glucocorticoid receptor resource.

The glucocorticoid receptor resource focuses on the structure-function relationships of the glucocorticoid receptor. As well as links to sequence and bibliographic databases via the World Wide Web, the database contains sequence comparisons of receptors from different species and source information for glucocorticoid receptor clones, probes, cell lines and antibodies. The resource allows the electronic publication of essays, unpublished data and reviews on steroid receptors. These publications will not be reviewed or edited and should allow the rapid dissemination of information to the scientific community. The resource can be reached at: http://biochem1.basic- sci.georgetown.edu/grr/grr.html.     

The evolution of resource use

 The evolution of a consumer exploiting two resources is investigated. The strategy x under selection represents the fraction of time or energy an individual invests into extracting the first resource. In the model, a dimensionless parameter α quantifies how simultaneous consumption of both resources influences consumer growth; α<0 corresponds to hemi-essential resources, 0<α<1 corresponds to complementary resources, α=1 corresponds to perfectly substitutable resources, and α>1 corresponds to antagonistic resources. An analysis of the ecological and evolutionary dynamics leads to five conclusions. First, when α≤1, there is a unique singular strategy x ^* for the adaptive dynamics and it is evolutionarily stable and globally convergent stable. Second, when α=1, the singular strategy x ^* corresponds to the populations exhibiting an ideal free distribution and a population playing this strategy can invade and displace populations playing any other strategy. Third, when α>1, the strategies x=0 and x=1 are evolutionarily stable and convergent stable. Hence, if the populations initially specialize on one resource, evolution amplifies this specialization. Fourth, when α is slightly larger than one (i.e. the resources are slightly antagonistic), there is a convergent stable singular strategy whose basin of attraction is almost the entire strategy space (0,1). This singular strategy is evolutionarily unstable and serves as an evolutionary branching point. Following evolutionary branching, our analysis and numerical simulations suggest that evolutionary dynamics are driven toward an end state consisting of two populations specializing on different resources. Fifth, when α>>1, there is only one singular strategy and it is convergent unstable and evolutionarily unstable. Hence, if resources are overly antagonistic, evolutionary branching does not occur and ultimately only one resource is exploited. Received: 8 June 2002 / Revised version: 28 November 2002 / Published online: 23 April 2003 This work was supported by NSF Grant DMS-0077986 Key words or phrases: Consumer-resource interactions – Adaptive dynamics – Evolutionary branching     

The costs and benefits of resource sharing: reciprocity requires resource heterogeneity

The evolution of resource sharing requires that the fitness benefits to the recipients be much higher than the costs to the giver, which requires heterogeneity among individuals in the fitness value of acquiring additional resources. We develop four models of the evolution of resource sharing by either direct or indirect reciprocity, with equal or unequal partners. Evolution of resource sharing by reciprocity requires differences between interacting individuals in the fitness value of the resource, and these differences must reverse although previous acts of giving are remembered and both participants survive. Moreover, inequality in the expected reproductive value of the interacting individuals makes reciprocity more difficult to evolve, but may still allow evolution of sharing by kin selection. These constraints suggest that resource sharing should evolve much more frequently by kin selection than by reciprocity, a prediction that is well supported by observations in the natural world.     

The resource balance of Milium effusum with emphasis on environmental resource supply

Summary Growth of the broad-leaved graminoid Milium effusum, occurring in shady deciduous forests, was matched with periods of high light influx through the tree canopy in spring and autumn. Fertile shoots grew faster than sterile shoots. Leaves on flowering shoots were fully developed when the budbreak started on the trees, whereas nonflowering shoots had fully developed leaves when the tree canopy closed. Leaf concentrations of N and P were high (6.1 and 0.74% respectively) in spring but decreased as the leaves expanded. Maximum pool sizes of N and P in whole tillers were reached about one month after the onset of spring growth, whereas maximum spring pools of K, Mg, and Ca were timed with peak biomass about one month later. The leaves lost nutrients during summer when no growth took place. Since leaching losses were negligible, nutrients were probably allocated from the leaves to support root growth. Autumn reallocation to winter stores was low. The pattern of growth and nutrient use suggests that light availability, i.e., the resource in relatively lowest supply, regulates the investment of the resource in highest supply, i.e., nutrients. This is consistent with previously reported observations on Eriophorum vaginatum, a graminoid of low nutrient — high light environments. This species utilizes nutrients efficiently at the expense of less efficient acquisition of carbon. We suggest that selection for efficient utilization of the resource in lowest relative supply has been a strong driving force behind the physiological adaptation of both species to their environments.     

Toward the complete membrane proteome: high coverage of integral membrane proteins through transmembrane peptide detection

To attain a comprehensive membrane proteome of two strains of Corynebacterium glutamicum (l-lysine-producing and the characterized model strains), both sample pretreatment and analysis methods were optimized. Isolated bacterial membranes were digested with trypsin/cyanogen bromide or trypsin/chymotrypsin, and a complementary protein set was identified using the multidimensional protein identification technology (MudPIT). Besides a distinct number of cytosolic or membrane-associated proteins, the combined data analysis from both digests yielded 326 integral membrane proteins ( approximately 50% of all predicted) covering membrane proteins both with small and large numbers of transmembrane helices. Also membrane proteins with a high GRAVY score were identified, and basic and acidic membrane proteins were evenly represented. A significant increase in hydrophobic peptides with distinctly higher sequence coverage of transmembrane regions was achieved by trypsin/chymotrypsin digestion in an organic solvent. The percentage of identified membrane proteins increased with protein size, yielding 80% of all membrane proteins above 60 kDa. Most prominently, almost all constituents of the respiratory chain and a high number of ATP-binding cassette transport systems were identified. This newly developed protocol is suitable for the quantitative comparison of membrane proteomes and will be especially useful for applications such as monitoring protein expression under different growth and fermentation conditions in bacteria such as C. glutamicum. Moreover with more than 50% coverage of all predicted membrane proteins (including the non-expressed species) this improved method has the potential for a close-to-complete coverage of membrane proteomes in general.     

Functionally important residues of the Tet repressor inducing peptide TIP determined by a complete mutational analysis

Tet repressor (TetR) is widely used to control gene expression in pro- and eukaryotes. The mechanism of induction by its natural inducer tetracycline is well characterized. A 16-mer oligopeptide, called TIP, fused to thioredoxin A (TrxA) of Escherichia coli is an artificial inducer of TetR. We analyzed the sequence requirements of TIP by directed and random single amino acid substitutions and identified residues important for TetR induction. An alanine scanning analysis of the first twelve residues showed that all except the ones at position eleven and twelve are important for induction. A randomization of residues at positions one to twelve of TIP revealed the properties of each residue necessary for induction. These further insights into the specificity of TIP-TetR interaction are discussed in the light of the X-ray structure of the [TetR-TIP] complex. The last four residues of TIP contribute indirectly to TetR induction by increasing the steady-state level of the fusion protein. TIP mutants fused N-terminally or C-terminally to TrxA in E. coli induce with the same efficiency indicating identical binding and induction mechanisms, and the lack of contribution from TrxA.     

The complete sequence of sheep beta-endorphin

Automatic sequencing of an isothiocyano naphthalene sulfonic acid derivative of sheep beta-endorphin, allowed the positioning of 24 out of 31 residues. Peptide mapping of a tryptic digest of the native molecule permitted the filling of remaining gaps. The complete sequence of this pituitary peptide was found to be identical to that of the portion 61–91 of sheep-beta-lipotropin.