Software for systems biology: from tools to integrated platforms

Understanding complex biological systems requires extensive support from software tools. Such tools are needed at each step of a systems biology computational workflow, which typically consists of data handling, network inference, deep curation, dynamical simulation and model analysis. In addition, there are now efforts to develop integrated software platforms, so that tools that are used at different stages of the workflow and by different researchers can easily be used together. This Review describes the types of software tools that are required at different stages of systems biology research and the current options that are available for systems biology researchers. We also discuss the challenges and prospects for modelling the effects of genetic changes on physiology and the concept of an integrated platform.     

Database and tools for metabolic network analysis

Metabolic network analysis has attracted much attention in the area of systems biology. It has a profound role in understanding the key features of organism metabolic networks and has been successfully applied in several fields of systems biology, including in silico gene knockouts, production yield improvement using engineered microbial strains, drug target identification, and phenotype prediction. A variety of metabolic network databases and tools have been developed in order to assist research in these fields. Databases that comprise biochemical data are normally integrated with the use of metabolic network analysis tools in order to give a more comprehensive result. This paper reviews and compares eight databases as well as twenty one recent tools. The aim of this review is to study the different types of tools in terms of the features and usability, as well as the databases in terms of the scope and data provided. These tools can be categorised into three main types: standalone tools; toolbox-based tools; and web-based tools. Furthermore, comparisons of the databases as well as the tools are also provided to help software developers and users gain a clearer insight and a better understanding of metabolic network analysis. Additionally, this review also helps to provide useful information that can be used as guidance in choosing tools and databases for a particular research interest.     

Xylella fastidiosa comparative genomic database is an information resource to explore the annotation, genomic features, and biology of different strains

The Xylella fastidiosa comparative genomic database is a scientific resource with the aim to provide a user-friendly interface for accessing high-quality manually curated genomic annotation and comparative sequence analysis, as well as for identifying and mapping prophage-like elements, a marked feature of Xylella genomes. Here we describe a database and tools for exploring the biology of this important plant pathogen. The hallmarks of this database are the high quality genomic annotation, the functional and comparative genomic analysis and the identification and mapping of prophage-like elements. It is available from web site http://www.xylella.lncc.br.     

CoryneBase: Corynebacterium Genomic Resources and Analysis Tools at Your Fingertips

Corynebacteria are used for a wide variety of industrial purposes but some species are associated with human diseases. With increasing number of corynebacterial genomes having been sequenced, comparative analysis of these strains may provide better understanding of their biology, phylogeny, virulence and taxonomy that may lead to the discoveries of beneficial industrial strains or contribute to better management of diseases. To facilitate the ongoing research of corynebacteria, a specialized central repository and analysis platform for the corynebacterial research community is needed to host the fast-growing amount of genomic data and facilitate the analysis of these data. Here we present CoryneBase, a genomic database for Corynebacterium with diverse functionality for the analysis of genomes aimed to provide: (1) annotated genome sequences of Corynebacterium where 165,918 coding sequences and 4,180 RNAs can be found in 27 species; (2) access to comprehensive Corynebacterium data through the use of advanced web technologies for interactive web interfaces; and (3) advanced bioinformatic analysis tools consisting of standard BLAST for homology search, VFDB BLAST for sequence homology search against the Virulence Factor Database (VFDB), Pairwise Genome Comparison (PGC) tool for comparative genomic analysis, and a newly designed Pathogenomics Profiling Tool (PathoProT) for comparative pathogenomic analysis. CoryneBase offers the access of a range of Corynebacterium genomic resources as well as analysis tools for comparative genomics and pathogenomics. It is publicly available at http://corynebacterium.um.edu.my/.     

Bacterial diversity, composition and dynamics in and around recreational coastal areas

A comparative study on the composition of bacterial communities in a coastal area in the West Mediterranean receiving the impact of recreation-derived activities (from a marina and a beach) was performed by terminal-restriction fragment length polymorphism (T-RFLP) of 16S rDNA along spatial and temporal scales. Interpolation of concentration of hydrophobic compounds, chlorophyll and bacterial cells in seawater over the geography of the sampling area using geographic information systems techniques (GIS) allowed the delineation of two different habitats: bay and marina (with low and high levels of impact respectively), and a transition zone between them. Accordingly, the 16S rDNA T-RFLP profiles of bacterial communities in the area differed mainly spatially, with gradual changes in community composition and structure when approaching the beach and marina. Bacterial communities in impacted areas had higher diversity and equitability, as well as different composition. The main bacterial populations inferred in bay samples, which were members of the Alphaproteobacteria (mainly SAR11 and Roseobacter groups), were replaced by a different population of the Roseobacter clade, and members of the Gammaproteobacteria and Bacteroidetes in more impacted areas. There were also differences in the dynamics of bacterial communities. While temporal variations in bacterial communities in bay samples were lower and mainly determined by temperature, an important factor for the functioning of this ecosystem, variation in impacted areas was more irregular, not so much temperature-driven, and in the case of the transition zone (beach) reflected the use of the coast during warmer periods.     

SecReT6: a web‐based resource for type VI secretion systems found in bacteria

SecReT6 ( http://db‐mml.sjtu.edu.cn/SecReT6/ ) is an integrated database providing comprehensive information on type VI secretion systems (T6SSs) in bacteria. T6SSs are a class of sophisticated cell contact‐dependent apparatuses involved in mediating antagonistic or synergistic communications between bacteria and/or bacteria and eukaryotes. These apparatuses have recently been found to be widely distributed among Gram‐negative bacterial species. SecReT6 offers a unique, readily explorable archive of known and putative T6SSs, and cognate effectors found in bacteria. It currently contains data on 11 167 core T6SS components mapping to 906 T6SSs found in 498 bacterial strains representing 240 species, as well as a collection of over 600 directly relevant references. Also collated and archived were 1340 diverse candidate secreted effectors which were experimentally shown and/or predicted to be delivered by T6SSs into target eukaryotic and/or prokaryotic cells as well as 196 immunity proteins. A broad range of T6SS gene cluster detection and comparative analysis tools are readily accessible via SecReT6, which may aid identification of effectors and immunity proteins around the T6SS core components. This database will be regularly updated to ensure its ongoing maximal utility and relevance to the scientific research community.     

BiMFG: bioinformatics tools for marine and freshwater species

Biomolecule sequences and structures of land, air and water species are determined rapidly and the data entries are unevenly distributed for different organisms. It frequently leads to the BLAST results of homologous search containing undesirable entries from organisms living in different environments. To reduce irrelevant searching results, a separate database for comparative genomics is urgently required. A comprehensive bioinformatics tool set and an integrated database, named Bioinformatics tools for Marine and Freshwater Genomics (BiMFG), are constructed for comparative analyses among model species and underwater species. Novel matching techniques based on conserved motifs and/or secondary structure elements are designed for efficiently and effectively retrieving and aligning remote sequences through cross-species comparisons. It is especially helpful when sequences under analysis possess low similarities and unresolved structural information. In addition, the system provides core techniques of multiple sequence alignment, multiple second structure profile alignment and iteratively refined multiple structural alignments for biodiversity analysis and verification in marine and freshwater biology. The BiMFG web server is freely available for use at http://bimfg.cs.ntou.edu.tw/.     

Bacterial diversity in the breadcrumb sponge Halichondria panicea (Pallas)

The aim of this study was to investigate the diversity and variability of bacterial communities associated with the marine sponge Halichondria panicea with respect to tissue compartmentalization as well as seasonal and small-scale geographic variation. Diversity of microorganisms in sponges was investigated recently, but work on the variability and succession of associated bacterial communities is rare. Despite some information on Pacific and Mediterranean sponges, it is still uncertain whether bacteria and sponges are specifically associated. In this study, H. panicea specimens were sampled throughout the year at different stations around the island of Helgoland (North Sea) and investigated using molecular tools. The bacterial community associated with H. panicea was diverse, consisting of one denaturing gradient gel electrophoresis (DGGE) band occurring in most 'tissue' samples and additional variable bands. Variability was observed between different sponge fractions (i.e. the aquiferous system and the 'tissue'), sampling locations, and sampling dates. A PCR-DGGE specific for the Roseobacter group of marine Alphaproteobacteria displayed low diversity and a marked similarity between all samples. Phylogenetic analysis also pointed to specific Alphaproteobacteria of the Roseobacter group, which was predominant in most sponge 'tissue' samples. We conclude that H. panicea harbour a specific Roseobacter population with varying bacterial co-populations occurring seasonally or on a small-scale geographically, sometimes even dominating the bacterial community.     

PRISM: a data management system for high-throughput proteomics

Advanced proteomic research efforts involving areas such as systems biology or biomarker discovery are enabled by the use of high level informatics tools that allow the effective analysis of large quantities of differing types of data originating from various studies. Performing such analyses on a large scale is not feasible without a computational platform that performs data processing and management tasks. Such a platform must be able to provide high-throughput operation while having sufficient flexibility to accommodate evolving data analysis tools and methodologies. The Proteomics Research Information Storage and Management system (PRISM) provides a platform that serves the needs of the accurate mass and time tag approach developed at Pacific Northwest National Laboratory. PRISM incorporates a diverse set of analysis tools and allows a wide range of operations to be incorporated by using a state machine that is accessible to independent, distributed computational nodes. The system has scaled well as data volume has increased over several years, while allowing adaptability for incorporating new and improved data analysis tools for more effective proteomics research.     

Genome content of uncultivated marine Roseobacters in the surface ocean

Understanding of the ecological roles and evolutionary histories of marine bacterial taxa can be complicated by mismatches in genome content between wild populations and their better-studied cultured relatives. We used computed patterns of non-synonymous (amino acid-altering) nucleotide diversity in marine metagenomic data to provide high-confidence identification of DNA fragments from uncultivated members of the Roseobacter clade, an abundant taxon of heterotrophic marine bacterioplankton in the world's oceans. Differences in gene stoichiometry in the Global Ocean Survey metagenomic data set compared with 39 sequenced isolates indicated that natural Roseobacter populations differ systematically in several genomic attributes from their cultured representatives, including fewer genes for signal transduction and cell surface modifications but more genes for Sec-like protein secretion systems, anaplerotic CO(2) incorporation, and phosphorus and sulfate uptake. Several of these trends match well with characteristics previously identified as distinguishing r- versus K-selected ecological strategies in bacteria, suggesting that the r-strategist model assigned to cultured roseobacters may be less applicable to their free-living oceanic counterparts. The metagenomic Roseobacter DNA fragments revealed several traits with evolutionary histories suggestive of horizontal gene transfer from other marine bacterioplankton taxa or viruses, including pyrophosphatases and glycosylation proteins.     

JXP4BIGI: a generalized, Java XML-based approach for biological information gathering and integration

MOTIVATION: In the post-genomic era, biologists interested in systems biology often need to import data from public databases and construct their own system-specific or subject-oriented databases to support their complex analysis and knowledge discovery. To facilitate the analysis and data processing, customized and centralized databases are often created by extracting and integrating heterogeneous data retrieved from public databases. A generalized methodology for accessing, extracting, transforming and integrating the heterogeneous data is needed. RESULTS: This paper presents a new data integration approach named JXP4BIGI (Java XML Page for Biological Information Gathering and Integration). The approach provides a system-independent framework, which generalizes and streamlines the steps of accessing, extracting, transforming and integrating the data retrieved from heterogeneous data sources to build a customized data warehouse. It allows the data integrator of a biological database to define the desired bio-entities in XML templates (or Java XML pages), and use embedded extended SQL statements to extract structured, semi-structured and unstructured data from public databases. By running the templates in the JXP4BIGI framework and using a number of generalized wrappers, the required data from public databases can be efficiently extracted and integrated to construct the bio-entities in the XML format without having to hard-code the extraction logics for different data sources. The constructed XML bio-entities can then be imported into either a relational database system or a native XML database system to build a biological data warehouse. AVAILABILITY: JXP4BIGI has been integrated and tested in conjunction with the IKBAR system (http://www.ikbar.org/) in two integration efforts to collect and integrate data for about 200 human genes related to cell death from HUGO, Ensembl, and SWISS-PROT (Bairoch and Apweiler, 2000), and about 700 Drosophila genes from FlyBase (FlyBase Consortium, 2002). The integrated data has been used in comparative genomic analysis of x-ray induced cell death. Also, as explained later, JXP4BIGI is a middleware and framework to be integrated with biological database applications, and cannot run as a stand-alone software for end users. For demonstration purposes, a demonstration version is accessible at (http://www.ikbar.org/jxp4bigi/demo.html).     

Tool developments for structure-function studies of host defense peptides

Antimicrobial peptides, or host defense peptides, are universal signaling and effector molecules in host defense and innate immunity. This article highlights various tools developed for cathelicidins and defensins, ranging from peptide identification, production, and structural biology, including the eight databases for antimicrobial peptides. Novel peptides can be identified from natural sources at both gene and protein levels. Solid-phase synthesis and bacterial expression are the two important methods for peptide production. Three-dimensional structures of antimicrobial peptides, primarily determined by solution NMR techniques, are essential for an in-depth understanding of the mode of action. The introduction of octanoyl phosphatidylglycerol as a bacterial membrane-mimetic model provides new insights into peptide-lipid interactions. The incorporation of structure and activity data into the antimicrobial peptide database (http://aps.unmc.edu/AP/main.html) will lead to an integrated understanding of these peptides via structural bioinformatics.     

Munich information center for protein sequences plant genome resources: a framework for integrative and comparative analyses 1(W)

With several plant genomes sequenced, the power of comparative genome analysis can now be applied. However, genome-scale cross-species analyses are limited by the effort for data integration. To develop an integrated cross-species plant genome resource, we maintain comprehensive databases for model plant genomes, including Arabidopsis (Arabidopsis thaliana), maize (Zea mays), Medicago truncatula, and rice (Oryza sativa). Integration of data and resources is emphasized, both in house as well as with external partners and databases. Manual curation and state-of-the-art bioinformatic analysis are combined to achieve quality data. Easy access to the data is provided through Web interfaces and visualization tools, bulk downloads, and Web services for application-level access. This allows a consistent view of the model plant genomes for comparative and evolutionary studies, the transfer of knowledge between species, and the integration with functional genomics data.     

CancerLectinDB: a database of lectins relevant to cancer

The role of lectins in mediating cancer metastasis, apoptosis as well as various other signaling events has been well established in the past few years. Data on various aspects of the role of lectins in cancer is being accumulated at a rapid pace. The data on lectins available in the literature is so diverse, that it becomes difficult and time-consuming, if not impossible to comprehend the advances in various areas and obtain the maximum benefit. Not only do the lectins vary significantly in their individual functional roles, but they are also diverse in their sequences, structures, binding site architectures, quaternary structures, carbohydrate affinities and specificities as well as their potential applications. An organization of these seemingly independent data into a common framework is essential in order to achieve effective use of all the data towards understanding the roles of different lectins in different aspects of cancer and any resulting applications. An integrated knowledge base (CancerLectinDB) together with appropriate analytical tools has therefore been developed for lectins relevant for any aspect of cancer, by collating and integrating diverse data. This database is unique in terms of providing sequence, structural, and functional annotations for lectins from all known sources in cancer and is expected to be a useful addition to the number of glycan related resources now available to the community. The database has been implemented using MySQL on a Linux platform and web-enabled using Perl-CGI and Java tools. Data for individual lectins pertain to taxonomic, biochemical, domain architecture, molecular sequence and structural details as well as carbohydrate specificities. Extensive links have also been provided for relevant bioinformatics resources and analytical tools. Availability of diverse data integrated into a common framework is expected to be of high value for various studies on lectin cancer biology. CancerLectinDB can be accessed through . Availability: CancerLectinDB is available freely for academic use from , Contact nchandra@serc.iisc.ernet.in for further information.     

Lectindb: a plant lectin database

Lectins, a class of carbohydrate-binding proteins, are now widely recognized to play a range of crucial roles in many cell-cell recognition events triggering several important cellular processes. They encompass different members that are diverse in their sequences, structures, binding site architectures, quaternary structures, carbohydrate affinities, and specificities as well as their larger biological roles and potential applications. It is not surprising, therefore, that the vast amount of experimental data on lectins available in the literature is so diverse, that it becomes difficult and time consuming, if not impossible to comprehend the advances in various areas and obtain the maximum benefit. To achieve an effective use of all the data toward understanding the function and their possible applications, an organization of these seemingly independent data into a common framework is essential. An integrated knowledge base ( Lectindb, http://nscdb.bic.physics.iisc.ernet.in ) together with appropriate analytical tools has therefore been developed initially for plant lectins by collating and integrating diverse data. The database has been implemented using MySQL on a Linux platform and web-enabled using PERL-CGI and Java tools. Data for each lectin pertain to taxonomic, biochemical, domain architecture, molecular sequence, and structural details as well as carbohydrate and hence blood group specificities. Extensive links have also been provided for relevant bioinformatics resources and analytical tools. Availability of diverse data integrated into a common framework is expected to be of high value not only for basic studies in lectin biology but also for basic studies in pursuing several applications in biotechnology, immunology, and clinical practice, using these molecules.     

Comparative genomics of methylated amine utilization by marine Roseobacter clade bacteria and development of functional gene markers (tmm, gmaS)

The marine Roseobacter clade bacteria comprise up to 20% of the microbial community in coastal surface seawater. Marine Roseobacter clade bacteria are known to catalyse some important biogeochemical transformations in marine carbon and sulfur cycles. Using a comparative genomic approach, this study revealed that many marine Roseobacter clade bacteria have the genetic potential to utilize methylated amines (MAs) as alternative nitrogen sources. These MAs represent a significant pool of dissolved organic carbon and nitrogen in the marine environment. The marine Roseobacter clade bacterial genomes also encode full sets of genes providing them with the potential to generate energy from complete oxidation of the methyl groups of MAs. Representative species of the marine Roseobacter clade were tested and their abilities to use MAs are directly linked to the presence in their genomes of genes encoding key enzymes involved in MA metabolism, including trimethylamine monooxygenase (tmm) and gamma-glutamylmethylamide synthetase (gmaS). These two genes were chosen as functional markers for detecting MA-utilizing marine Roseobacter clade bacteria in the environment. PCR primers targeting these two genes were designed and used successfully to retrieve corresponding gene sequences from MA-utilizing isolates of the marine Roseobacter clade, as well as directly from DNA extracted from surface seawater obtained from Station L4 off the coast of Plymouth, UK. Taken together, the results suggest that MAs may serve as important nitrogen and possibly energy sources for marine Roseobacter clade bacteria, which helps to explain their global success in the marine environment.