峡东地区庙坡组栉虫类、宝石虫类和斜视虫类三叶虫

系统描述湖北宜昌和秭归新滩晚奥陶世庙坡组三叶虫动物群中的３科６属６种。根据化石保存状态,挤压变形以及个体发育特征,对前人所报道的产于同一层位的有并三叶虫的研究成果作了重新厘定。     

Cuticular structure of the agnostine trilobite Homagnostus obesus

Study of the exoskeletal surface microstructure of specimens of Homagnostus obesus (Belt, 1867) from the Upper Cambrian of Sweden has given information about the structure of agnostine cuticle. It is likely that the very thin cuticle of agnostines (5-15 μm), unlike that of polymerid trilobites, was constructed only of a prismatic layer. The exoskeletons were strengthened by reticulation on the external surface, the ridges forming up to 15% of the total cuticle thickness. Pits on the visceral surface of the exoskeleton of H. obesus may have contained photoreceptors as their morphology is similar to that of the Nileus glabellar 'tubercle'. This would have allowed the animal to monitor changes in light intensity. Possible sensory receptors in other agnostine trilobites are reviewed. Most sense organs were positioned on the unmineralized ventral surface of the organism. □ Trilobita, Agnostina, exoskeleton. cuticle, micro-structure, sensory receptors.     

The trilobite family Nileidae: morphology and classification

Species of genera currently referred to Nileidae are reviewed, and those of Hemibarrandia , Lakaspis , Peraspis and Symphysurina are excluded from the family. Nileidae are united in having a distinctive form of the hypostome, the glabellar organ, in the shallowness or absence of external furrows on the axial and pleural regions, and in the development of strong ventral ridges on the axial region. It is contended that the glabellar organ of nileids and illaenids may not be homologous with the glabellar tubercle of asaphids, that the median ventral suture is not exclusively a character of Asaphina, and doubt is cast on the identification of an asaphoid protaspis as being that of Nileus . These arguments provide a case for allying Nileidae with the Illaenidae, rather than with the Asaphina.     

粤西云开地区中奥陶世翼形类(双壳类)一新超科——郁南蛤超科 Yunannioidea superfam.nov.

本研究记述粤西云开地区中奥陶统东冲组一种奇异的翼形类(双壳类)化石,建立了郁南蛤超科(新超科)Yunannioidea superfam.nov.,郁南蛤科(新科)Yunanniidae fam.nov.,郁南蛤属(新属)Yunannia gen.nov.及2新种:干坑郁南蛤(新属新种)Yunannia gankeng...     

陕西梁山地区宝塔组介形类

本文报道了陕西省南郑县梁山地区中奥陶统宝塔组介形类8属10种,其中包括3新属8新种。这些介形类化石的发现,为该时代地层的划分、对比增添了新的古生物依据。     

Local interactions drive the formation of nonnative structure in the denatured state of human alpha-lactalbumin: a high resolution structural characterization of a peptide model in aqueous solution.

There are a small number of peptides derived from proteins that have a propensity to adopt structure in aqueous solution which is similar to the structure they possess in the parent protein. There are far fewer examples of protein fragments which adopt stable nonnative structures in isolation. Understanding how nonnative interactions are involved in protein folding is crucial to our understanding of the topic. Here we show that a small, 11 amino acid peptide corresponding to residues 101-111 of the protein alpha-lactalbumin is remarkably structured in isolation in aqueous solution. The peptide has been characterized by 1H NMR, and 170 ROE-derived constraints were used to calculate a structure. The calculations yielded a single, high-resolution structure for residues 101-107 that is nonnative in both the backbone and side-chain conformations. In the pH 6.5 crystal structure, residues 101-105 are in an irregular turn-like conformation and residues 106-111 form an alpha-helix. In the pH 4.2 crystal structure, residues 101-105 form an alpha-helix, and residues 106-111 form a loopike structure. Both of these structures are significantly different from the conformation adopted by our peptide. The structure in the peptide model is primarily the result of local side-chain interactions that force the backbone to adopt a nonnative 310/turn-like structure in residues 103-106. The structure in aqueous solution was compared to the structure in 30% trifluoroethanol (TFE), and clear differences were observed. In particular, one of the side-chain interactions, a hydrophobic cluster involving residues 101-105, is different in the two solvents and residues 107-111 are considerably more ordered in 30% TFE. The implications of the nonnative structure for the folding of alpha-lactalbumin is discussed.     

Analysis and prediction of protein local structure based on structure alphabets

In recent years, protein structure prediction using local structure information has made great progress. Many fragment libraries or structure alphabets have been developed. In this study, the entropies and correlations of local structures are first calculated. The results show that neighboring local structures are strongly correlated. Then, a dual-layer model has been designed for protein local structure prediction. The position-specific score matrix, generated by PSI-BLAST, is inputted to the first-layer classifier, whose output is further enhanced by a second-layer classifier. The neural network is selected as the classifier. Two structure alphabets are explored, which are represented in Cartesian coordinate space and in torsion angles space respectively. Testing on the nonredundant dataset shows that the dual-layer model is an efficient method for protein local structure prediction. The Q-scores are 0.456 and 0.585 for the two structure alphabets, which is a significant improvement in comparison with related works.     

Modeling vertical beta-diversity in tropical butterfly communities

We present a novel analytical method for assessing spatial and temporal structure in community samples that is useful for comparing large data-sets that include species abundance data. The model assumes that species numbers in two samples are drawn from a bi-variate Poisson log-normal species abundance distribution and parameters from the fitted distribution are estimated to assess community structure. We assessed three tropical butterfly data-sets for spatial structure in the vertical dimension, and tested for changes in structure as a result of temporal variance, disturbance regimes, and geographic location. Our results indicate that the vertical dimension is a major structural component in tropical forest butterfly communities that varies little through time and is not measurably affected by small-scale disturbances. However, there is evidence that the degree of vertical structure may vary among geographic regions. These results are discussed in terms of the mechanisms maintaining vertical structure, and the implications of changes in forest architecture on butterfly communities.     

S curve, a graphic representation of protein secondary structure sequence and its applications

A secondary structure sequence is a symbolic string composed of three kinds of letters, indicating the helix, strand, and coil (including turns), respectively. A graphic representation for this abstract symbolic sequence is proposed here, called the S curve. The S curve is the unique representation for a given secondary structure sequence in the sense that the sequence and the S curve can be uniquely determined from the other. Therefore, the S curve contains all the information that the secondary structure sequence contains. Different geometrical properties of the S curve are studied in details, which reflect the basic characteristics of the secondary structure sequences. The S curves are used to display, analyze, and compare the secondary structure sequences. Detailed application examples are presented. One advantage of the S curve methodology is that the main patterns of a given secondary structure sequence can be grasped quickly in a perceivable form. This is particularly useful in the cases in which longer sequences are involved and structures of proteins are unknown.     

Design of Strain-Sensing Devices in Microscale by Using Surface Plasmon Polaritons

We have presented a strain-sensing device in microscale by using surface plasmon polaritons and multimode interference effects. The device is numerically investigated by the finite-difference time-domain method. Optimum depths and length of the structure are designed for sensing a strain. The size of the designed structure is several micrometers and is about a thousandth compared with a fiber Bragg grating strain sensor. The sensitivity of the designed structure is 11.34 pm/μ?? that is about ten times larger than that of a fiber Bragg grating strain sensor. The temperature sensitivity of the designed structure is 34.43 pm/ ^°C. This temperature sensitivity is three times larger than that of a fiber Bragg grating strain sensor. Therefore, temperature compensation techniques are needed for the structure. The presented structure has a simple design such as a plasmonic waveguide with a trench structure. The simple structural design device has a capability of being used in micro- and nano-electromechanical systems.     

Protein folding. Effect of packing density on chain conformation

Recent lattice polymer simulations by Chan & Dill suggest that compactness may be a significant driving force in the formation of secondary structure. We have addressed the robustness of this conclusion for non-lattice polymers using a rotational isomeric model of proteins. Boundary conditions are used to enforce compactness and excluded volume effects are explicitly incorporated. As in the cubic lattice studies, compactness is seen to influence secondary structure content. This effect is modest for densities comparable to native proteins but dramatic for chains that are approximately 30% more dense than native proteins. alpha-Helical structure is common but beta-sheet structure is rare. It appears that lattices impart to compact chains an organizational bias that favors beta-sheet structure. The strengths and weakness of various simplified representations of polypeptide chains are also discussed.     

The crystal structure of NlpI. A prokaryotic tetratricopeptide repeat protein with a globular fold

There are several different families of repeat proteins. In each, a distinct structural motif is repeated in tandem to generate an elongated structure. The nonglobular, extended structures that result are particularly well suited to present a large surface area and to function as interaction domains. Many repeat proteins have been demonstrated experimentally to fold and function as independent domains. In tetratricopeptide (TPR) repeats, the repeat unit is a helix-turn-helix motif. The majority of TPR motifs occur as three to over 12 tandem repeats in different proteins. The majority of TPR structures in the Protein Data Bank are of isolated domains. Here we present the high-resolution structure of NlpI, the first structure of a complete TPR-containing protein. We show that in this instance the TPR motifs do not fold and function as an independent domain, but are fully integrated into the three-dimensional structure of a globular protein. The NlpI structure is also the first TPR structure from a prokaryote. It is of particular interest because it is a membrane-associated protein, and mutations in it alter septation and virulence.     

A statistical analysis of RNA folding algorithms through thermodynamic parameter perturbation

Computational RNA secondary structure prediction is rather well established. However, such prediction algorithms always depend on a large number of experimentally measured parameters. Here, we study how sensitive structure prediction algorithms are to changes in these parameters. We found already that for changes corresponding to the actual experimental error to which these parameters have been determined, 30% of the structure are falsely predicted whereas the ground state structure is preserved under parameter perturbation in only 5% of all the cases. We establish that base-pairing probabilities calculated in a thermal ensemble are viable although not a perfect measure for the reliability of the prediction of individual structure elements. Here, a new measure of stability using parameter perturbation is proposed, and its limitations are discussed.     

Biomineralization: a structural perspective

Biomineralization is an inherently structural subject; the structure of the mineral phase, the structure of the matrix composed of macromolecules and especially the structure of the interphase zone between them. Studies of the dynamics of mineral formation have revealed that a widespread strategy used by many organisms is to first form a disordered mineral phase. Only when it is in place and has adopted its appropriate shape, is it induced to crystallize. Matrix studies have highlighted the importance of a unique group of proteins that are rich in aspartic acid. These are involved in controlling mineral formation. Relating structure to function in mineralized tissues, often involves an understanding of mechanical properties in terms of not only the hierarchical structure of the tissue, but also the graded structure that varies from one location to another. Structure is thus in many respects the foundation upon which the field of biomineralization rests.     

Three-dimensional structure of goose-type lysozyme from the egg white of the Australian black swan, Cygnus atratus

The egg white of C. atratus contains two forms of lysozyme, a 'chick-type' which is similar to that found in the egg white of the domestic hen, and a 'goose-type' similar to that found in the egg white of the Embden goose. The molecular structure of the goose-type lysozyme has been determined at a resolution of a 2.8 A by X-ray crystallographic analysis. The structure consists of two domains linked by a long stretch of alpha-helix. In all, there are seven helical segments in the structure. While there is no amino acid sequence homology with either hen egg-white or bacteriophage T4 lysozymes, there are portions of the structure where the folding of the main chain is similar to that found in portions of either hen egg-white lysozyme or T4 lysozyme or both. In particular, there is a consistency of structure in the arrangement of acid groups in the catalytic site. G-o plots calculated for this structure and for the bacteriophage T4 lysozyme structure show that both have similar 'modules' of structure with boundaries occurring at structurally equivalent positions. Three of the common boundaries are equivalent structurally to three of the four module boundaries observed in G-o plots of hen egg-white lysozyme. The variation in the position of the remaining boundary may be related to differences in substrate binding.     

Computational studies of the domain movement and the catalytic mechanism of thymidine phosphorylase

Thymidine phosphorylase (TP) is a dual substrate enzyme with two domains. Each domain binds a substrate. In the crystal structure of Escherichia coli TP, the two domains are arranged so that the two substrate binding sites are too far away for the two substrates to directly react. Molecular dynamics simulations reveal a different structure of the enzyme in which the two domains have moved to place the two substrates in close contact. This structure has a root-mean-square deviation from the crystal structure of 4.1 A. Quantum mechanical calculations using this structure find that the reaction can proceed by a direct nucleophilic attack with a low barrier. This mechanism is not feasible in the crystal structure environment and is consistent with the mechanism observed for other N-glycosidic enzymes. Important catalytic roles are found for the three highly conserved residues His 85, Arg 171, and Lys 190.     

MASTR: multiple alignment and structure prediction of non-coding RNAs using simulated annealing

MOTIVATION: As more non-coding RNAs are discovered, the importance of methods for RNA analysis increases. Since the structure of ncRNA is intimately tied to the function of the molecule, programs for RNA structure prediction are necessary tools in this growing field of research. Furthermore, it is known that RNA structure is often evolutionarily more conserved than sequence. However, few existing methods are capable of simultaneously considering multiple sequence alignment and structure prediction. RESULT: We present a novel solution to the problem of simultaneous structure prediction and multiple alignment of RNA sequences. Using Markov chain Monte Carlo in a simulated annealing framework, the algorithm MASTR (Multiple Alignment of STructural RNAs) iteratively improves both sequence alignment and structure prediction for a set of RNA sequences. This is done by minimizing a combined cost function that considers sequence conservation, covariation and basepairing probabilities. The results show that the method is very competitive to similar programs available today, both in terms of accuracy and computational efficiency. AVAILABILITY: Source code available from http://mastr.binf.ku.dk/     

RNA-SSPT: RNA Secondary Structure Prediction Tools

The prediction of RNA structure is useful for understanding evolution for both in silico and in vitro studies. Physical methods like NMR studies to predict RNA secondary structure are expensive and difficult. Computational RNA secondary structure prediction is easier. Comparative sequence analysis provides the best solution. But secondary structure prediction of a single RNA sequence is challenging. RNA-SSPT is a tool that computationally predicts secondary structure of a single RNA sequence. Most of the RNA secondary structure prediction tools do not allow pseudoknots in the structure or are unable to locate them. Nussinov dynamic programming algorithm has been implemented in RNA-SSPT. The current studies shows only energetically most favorable secondary structure is required and the algorithm modification is also available that produces base pairs to lower the total free energy of the secondary structure. For visualization of RNA secondary structure, NAVIEW in C language is used and modified in C# for tool requirement. RNA-SSPT is built in C# using Dot Net 2.0 in Microsoft Visual Studio 2005 Professional edition. The accuracy of RNA-SSPT is tested in terms of Sensitivity and Positive Predicted Value. It is a tool which serves both secondary structure prediction and secondary structure visualization purposes.     

An integrated approach to the analysis and modeling of protein sequences and structures. III. A comparative study of sequence conservation in protein structural families using multiple structural alignments

The information required to generate a protein structure is contained in its amino acid sequence, but how three-dimensional information is mapped onto a linear sequence is still incompletely understood. Multiple structure alignments of similar protein structures have been used to investigate conserved sequence features but contradictory results have been obtained, due, in large part, to the absence of subjective criteria to be used in the construction of sequence profiles and in the quantitative comparison of alignment results. Here, we report a new procedure for multiple structure alignment and use it to construct structure-based sequence profiles for similar proteins. The definition of "similar" is based on the structural alignment procedure and on the protein structural distance (PSD) described in paper I of this series, which offers an objective measure for protein structure relationships. Our approach is tested in two well-studied groups of proteins; serine proteases and Ig-like proteins. It is demonstrated that the quality of a sequence profile generated by a multiple structure alignment is quite sensitive to the PSD used as a threshold for the inclusion of proteins in the alignment. Specifically, if the proteins included in the aligned set are too distant in structure from one another, there will be a dilution of information and patterns that are relevant to a subset of the proteins are likely to be lost.In order to understand better how the same three-dimensional information can be encoded in seemingly unrelated sequences, structure-based sequence profiles are constructed for subsets of proteins belonging to nine superfolds. We identify patterns of relatively conserved residues in each subset of proteins. It is demonstrated that the most conserved residues are generally located in the regions where tertiary interactions occur and that are relatively conserved in structure. Nevertheless, the conservation patterns are relatively weak in all cases studied, indicating that structure-determining factors that do not require a particular sequential arrangement of amino acids, such as secondary structure propensities and hydrophobic interactions, are important in encoding protein fold information. In general, we find that similar structures can fold without having a set of highly conserved residue clusters or a well-conserved sequence profile; indeed, in some cases there is no apparent conservation pattern common to structures with the same fold. Thus, when a group of proteins exhibits a common and well-defined sequence pattern, it is more likely that these sequences have a close evolutionary relationship rather than the similarities having arisen from the structural requirements of a given fold.     

Three-dimensional structure of an intact glycoside hydrolase family 15 glucoamylase from Hypocrea jecorina

The three-dimensional structure of a complete Hypocrea jecorina glucoamylase has been determined at 1.8 A resolution. The presented structure model includes the catalytic and starch binding domains and traces the course of the 37-residue linker segment. While the structures of other fungal and yeast glucoamylase catalytic and starch binding domains have been determined separately, this is the first intact structure that allows visualization of the juxtaposition of the starch binding domain relative to the catalytic domain. The detailed interactions we see between the catalytic and starch binding domains are confirmed in a second independent structure determination of the enzyme in a second crystal form. This second structure model exhibits an identical conformation compared to the first structure model, which suggests that the H. jecorina glucoamylase structure we report is independent of crystal lattice contact restraints and represents the three-dimensional structure found in solution. The proposed starch binding regions for the starch binding domain are aligned with the catalytic domain in the three-dimensional structure in a manner that supports the hypothesis that the starch binding domain serves to target the glucoamylase at sites where the starch granular matrix is disrupted and where the enzyme might most effectively function.