Underground organs of Brazilian Asteraceae: testing the CLO-PLA database traits

Not all plant traits from all regions have been standardized or databased. Some ecosystems, such as tropical grasslands, are under-represented in such databases owing to the difficulty in assessing bud banks and evaluating clonal growth. This study aimed to (i) determine whether Brazilian morphological traits of belowground organs can be translated into categories used in the CLO-PLA database and (ii) assess the applicability of clonal and bud bank traits standardized in the CLO-PLA database for Brazilian Aldama species, which have specialized belowground organs and are able to resprout. In all, 165 species, including herbs, subshrubs and shrubs, of 37 genera from different Brazilian ecosystems, were evaluated. Not all the traditional Brazilian morphological categories could be translated into CLO-PLA traits, resulting in a lower number of categories and loss of information regarding plant morphology. Furthermore, clonal and bud bank traits could be only partially evaluated for Aldama, since some traits showed seasonal variation. The CLO-PLA classification focused on the organs in relation to the soil surface, the connection between mother and daughter shoots, and the origin of buds from which daughter shoots sprout. In the Brazilian classification, by contrast, anatomical features or early ontogeny of the organ are very important. Nevertheless, our results might form the basis for future comparative studies across ecosystems and biomes, for which common trait standardization is necessary. However, further research is needed to assess the functional morphology of clonal and bud bank traits in tropical regions.     

Life‐history traits of the Northwest European flora: The LEDA database

Abstract. An international group of scientists is building a ‘trait base’, an open internet database of life‐history traits of the Northwest European flora (LEDA) that can be used as a tool in planning, in nature conservation and restoration, and in other applied research. The species‐trait matrix will comprise referenced information under control of an editorial board, for species of the Northwest European flora, combining existing information and additional measurements. The focus will be on 26 plant traits that describe three key features of plant dynamics: persistence, regeneration, and dispersability. Currently 35% of the species‐trait matrix has been filled; however, as the LEDA trait base consortium aims to deliver a database as complete as possible, all input from the scientific community is welcome.     

A database of vertebrate longevity records and their relation to other life‐history traits

Longevity is a major characteristic of animals that has long fascinated scientists. In this work, we present a comprehensive database of animal longevity records and related life‐history traits entitled AnAge, which we compiled and manually curated from an extensive literature. AnAge started as a collection of longevity records, but has since been expanded to include quantitative data for numerous other life‐history traits, including body masses at different developmental stages, reproductive data such as age at sexual maturity and measurements of reproductive output, and physiological traits related to metabolism. AnAge features over 4000 vertebrate species and is a central resource for applying the comparative method to studies of longevity and life‐history evolution across the tree of life. Moreover, by providing a reference value for longevity and other life‐history traits, AnAge can prove valuable to a broad range of biologists working in evolutionary biology, ecology, zoology, physiology and conservation biology. AnAge is freely available online ( http://genomics.senescence.info/species/ ).     

Cation-aromatic database

Cation-aromatic database (CAD) is a publicly available web-based database that aims to provide further understanding of interaction between a cation and the pi interactions. A tool to identify the interactions in a user-given protein is also added to the database. CAD is freely accessible via the Internet at http://203.199.182.73/gnsmmg/databases/cad/.     

Glaucoma database

Glaucoma, a complex heterogenous disease, is the leading cause for optic nerve-related blindness worldwide. Primary open angle glaucoma (POAG) is the most common subset and by the year 2020 it is estimated that approximately 60 million people will be affected. MYOC, OPTN, CYP1B1 and WDR36 are the important candidate genes. Nearly 4% of the glaucoma patients have mutation in any one of these genes. Mutation in any of these genes causes disease either directly or indirectly and the severity of the disease varies according to position of the genes. We have compiled all the related mutations and SNPs in the above genes and developed a database, to help access statistical and clinical information of particular mutation. This database is available online at http:bicmku.in:8081/glaucoma The database, constructed using SQL, contains data pertaining to the SNPs and mutation information involved in the above genes and relevant study data. AVAILABILITY: The database is available for free at http:bicmku.in:8081/glaucoma.     

Genetic traits

Recognizing that all traits are the result of an interaction between genes and environment, I offer a set of criteria for nevertheless making sense of our practice of singling out certain traits as genetic ones, in effect making a distinction between causes and mere conditions. The central criterion is that a trait is genetic if it is genetic differences that make the differences in that trait variable in a given population. A second criterion requires that genetic traits be individuated in a way that matches what some genetic factors cause specifically. Clarifying our causal and classificatory language here can help us to avoid confusions of both theoretical and practical significance.     

Mycobacteriophage genome database

Mycobacteriophage genome database (MGDB) is an exclusive repository of the 64 completely sequenced mycobacteriophages with annotated information. It is a comprehensive compilation of the various gene parameters captured from several databases pooled together to empower mycobacteriophage researchers. The MGDB (Version No.1.0) comprises of 6086 genes from 64 mycobacteriophages classified into 72 families based on ACLAME database. Manual curation was aided by information available from public databases which was enriched further by analysis. Its web interface allows browsing as well as querying the classification. The main objective is to collect and organize the complexity inherent to mycobacteriophage protein classification in a rational way. The other objective is to browse the existing and new genomes and describe their functional annotation. AVAILABILITY: The database is available for free at http://mpgdb.ibioinformatics.org/mpgdb.php.     

The apoptosis database

The apoptosis database is a public resource for researchers and students interested in the molecular biology of apoptosis. The resource provides functional annotation, literature references, diagrams/images, and alternative nomenclatures on a set of proteins having 'apoptotic domains'. These are the distinctive domains that are often, if not exclusively, found in proteins involved in apoptosis. The initial choice of proteins to be included is defined by apoptosis experts and bioinformatics tools. Users can browse through the web accessible lists of domains, proteins containing these domains and their associated homologs. The database can also be searched by sequence homology using basic local alignment search tool, text word matches of the annotation, and identifiers for specific records. The resource is available at http://www.apoptosis-db.org and is updated on a regular basis.     

Pathways database system

During the next phase of the Human Genome Project, research will focus on functional studies of attributing functions to genes, their regulatory elements, and other DNA sequences. To facilitate the use of genomic information in such studies, a new modeling perspective is needed to examine and study genome sequences in the context of many kinds of biological information. Pathways are the logical format for modeling and presenting such information in a manner that is familiar to biological researchers. In this paper, we introduce an integrated system, called "Pathways Database System," with a set of software tools for modeling, storing, analyzing, visualizing, and querying biological pathways data at different levels of genetic, molecular, biochemical and organismal detail.     

Aminoacyl-tRNA synthetases database

Aminoacyl-tRNA synthetases (AARSs) are at the center of the question of the origin of life. They constitute a family of enzymes integrating the two levels of cellular organization: nucleic acids and proteins. AARSs arose early in evolution and are believed to be a group of ancient proteins. They are responsible for attaching amino acid residues to their cognate tRNA molecules, which is the first step in the protein synthesis. The role they play in a living cell is essential for the precise deciphering of the genetic code. The analysis of AARSs evolutionary history was not possible for a long time due to a lack of a sufficiently large number of their amino acid sequences. The emerging picture of synthetases' evolution is a result of recent achievements in genomics [Woese,C., Olsen,G.J., Ibba,M. and S?ll,D. (2000) Microbiol. Mol. Biol. Rev., 64, 202-236]. In this paper we present a short introduction to the AARSs database. The updated database contains 1047 AARS primary structures from archaebacteria, eubacteria, mitochondria, chloroplasts and eukaryotic cells. It is the compilation of amino acid sequences of all AARSs known to date, which are available as separate entries via the WWW at http://biobases.ibch.poznan.pl/aars/.     

Plant snoRNA database

The Plant snoRNA database (http://www.scri.sari.ac.uk/plant_snoRNA/) provides information on small nucleolar RNAs from Arabidopsis and eighteen other plant species. Information includes sequences, expression data, methylation and pseudouridylation target modification sites, initial gene organization (polycistronic, single gene and intronic) and the number of gene variants. The Arabidopsis information is divided into box C/D and box H/ACA snoRNAs, and within each of these groups, by target sites in rRNA, snRNA or unknown. Alignments of orthologous genes and gene variants from different plant species are available for many snoRNA genes. Plant snoRNA genes have been given a standard nomenclature, designed wherever possible, to provide a consistent identity with yeast and human orthologues.     

The EMOTIF database

The EMOTIF database is a collection of more than 170 000 highly specific and sensitive protein sequence motifs representing conserved biochemical properties and biological functions. These protein motifs are derived from 7697 sequence alignments in the BLOCKS+ database (released on June 23, 2000) and all 8244 protein sequence alignments in the PRINTS database (version 27.0) using the emotif-maker algorithm developed by Nevill-Manning et al. (Nevill-Manning,C.G., Wu,T.D. and Brutlag,D.L. (1998) Proc. Natl Acad. Sci. USA, 95, 5865-5871; Nevill-Manning,C.G., Sethi,K.S., Wu,T. D. and Brutlag,D.L. (1997) ISMB-97, 5, 202-209). Since the amino acids and the groups of amino acids in these sequence motifs represent critical positions conserved in evolution, search algorithms employing the EMOTIF patterns can identify and classify more widely divergent sequences than methods based on global sequence similarity. The emotif protein pattern database is available at http://motif.stanford.edu/emotif/.     

小鼠肝脏蛋白质组数据门户

肝脏是哺乳动物体内的代谢中枢,系统性研究肝脏蛋白质组在不同的生理和病理状态下的表达情况有助于我们理解肝脏的功能机理。随着高精度质谱技术的不断发展,众多小鼠肝脏生理病理研究产生了大量蛋白质组学数据。文中系统性整理了834例小鼠肝脏的蛋白质组学实验,建立了小鼠肝脏蛋白质组数据门户(Mouse Liver Portal,http://mouseliver.com),该门户中包含了肝脏在不同生理和病理状态下的蛋白质组学数据,如不同性别、年龄、昼夜节律、细胞类型和不同时间阶段的部分肝切除、非酒精性脂肪肝等状态。该门户能够提供肝脏在不同状态下蛋白的表达变化情况、差异显著的蛋白质和它们参与的生物学过程以及潜在的信号转导和调控网络。作为目前最全面的小鼠肝脏蛋白质组数据门户,该数据库能够给肝脏生物学研究提供重要的资源和参考。