BioModel engineering for multiscale Systems Biology

We discuss some motivational challenges arising from the need to model and analyse complex biological systems at multiple scales (spatial and temporal), and present a biomodel engineering framework to address some of these issues within the context of multiscale Systems Biology. Our methodology is based on a structured family of Petri net classes which enables the investigation of a given system using various modelling abstractions: qualitative, stochastic, continuous and hybrid, optionally in a spatial context. We illustrate our approach with case studies demonstrating hierarchical flattening, treatment of space, and hierarchical organisation of space.     

An essential role of the autophagy activating kinase ULK1 in snRNP biogenesis

The biogenesis of small uridine-rich nuclear ribonucleoproteins (UsnRNPs) depends on the methylation of Sm proteins catalyzed by the methylosome and the subsequent action of the SMN complex, which assembles the heptameric Sm protein ring onto small nuclear RNAs (snRNAs). In this sophisticated process, the methylosome subunit pICln (chloride conductance regulatory protein) is attributed to an exceptional key position as an ‘assembly chaperone’ by building up a stable precursor Sm protein ring structure. Here, we show that—apart from its autophagic role—the Ser/Thr kinase ULK1 (Uncoordinated [unc-51] Like Kinase 1) functions as a novel key regulator in UsnRNP biogenesis by phosphorylation of the C-terminus of pICln. As a consequence, phosphorylated pICln is no longer capable to hold up the precursor Sm ring structure. Consequently, inhibition of ULK1 results in a reduction of efficient UsnRNP core assembly. Thus ULK1, depending on its complex formation, exerts different functions in autophagy or snRNP biosynthesis.     

Assessment of dietary intake: NuGO symposium report

Advances in genomics science and associated bioinformatics and technology mean that excellent tools are available for characterising human genotypes. At the same time, approaches for characterising individual phenotypes are developing rapidly. In contrast, there has been much less investment in novel methodology for measuring dietary exposures so that there is now a significant gap in the toolkit for those investigating how diet interacts with genotype to determine phenotype. This symposium reviewed the strengths and limitations of current tools used in assessment of dietary intake and the potential to improve these tools through, for example, the use of statistical techniques that combine information from different sources (such as modelling and calibration methods) to ameliorate measurement error and to provide validity checks. Speakers examined the use of approaches based on technologies such as mobile 'phones, digital cameras and Web-based systems which offer the potential for more acceptable (for study participants) and less laborious (for researchers and participants) routes to more robust data collection. In addition, the application of omics, especially metabolomics, tools to biofluids to identify new biomarkers of intake offers great potential to provide objective measures of food consumption with the advantage that data may be collected in forms that can be integrated readily with other high throughput (nutrigenomic) technologies.     

The first metazoa living in permanently anoxic conditions

Background  

Several unicellular organisms (prokaryotes and protozoa) can live under permanently anoxic conditions. Although a few metazoans can survive temporarily in the absence of oxygen, it is believed that multi-cellular organisms cannot spend their entire life cycle without free oxygen. Deep seas include some of the most extreme ecosystems on Earth, such as the deep hypersaline anoxic basins of the Mediterranean Sea. These are permanently anoxic systems inhabited by a huge and partly unexplored microbial biodiversity.     

NMR assignments of oxidised thioredoxin from Plasmodium falciparum

During its life cycle, the malaria parasite Plasmodium falciparum is found intracellular to human erythrocytes, where its survival and ability to multiply critically depends on the control of the environment redox state. Thioredoxin is a small protein containing 104 amino acids that is part of the parasite specific redox system. During the catalytic cycle it alternates between a reduced and oxidised form. Here we report the complete resonance assignment of Plasmodium falciparum thioredoxin in its oxidized form by heteronuclear multidimensional spectroscopy. The obtained chemical shifts differ significantly from those reported earlier for this protein in its reduced state.     

Owner controlled data exchange in nutrigenomic collaborations: the NuGO information network

New ‘omics’ technologies are changing nutritional sciences research. They enable to tackle increasingly complex questions but also increase the need for collaboration between research groups. An important challenge for successful collaboration is the management and structured exchange of information that accompanies data-intense technologies. NuGO, the European Nutrigenomics Organization, the major collaborating network in molecular nutritional sciences, is supporting the application of modern information technologies in this area. We have developed and implemented a concept for data management and computing infrastructure that supports collaboration between nutrigenomics researchers. The system fills the gap between “private” storing with occasional file sharing by email and the use of centralized databases. It provides flexible tools to share data, also during experiments, while preserving ownership. The NuGO Information Network is a decentral, distributed system for data exchange based on standard web technology. Secure access to data, maintained by the individual researcher, is enabled by web services based on the the BioMoby framework. A central directory provides information about available web services. The flexibility of the infrastructure allows a wide variety of services for data processing and integration by combining several web services, including public services. Therefore, this integrated information system is suited for other research collaborations.     

Analysis of single nucleotide polymorphisms in three chromosomes of European sea bass Dicentrarchus labrax

Single nucleotide polymorphisms (SNPs) are believed to contain relevant information and have been therefore extensively used as genetic markers in population and conservation genetics, and molecular ecology studies. This study reports on the identification of potential SNPs in a diploid European sea bass Dicentrarchus labrax genome by using reference sequences from three assembled chromosomes and mapping all WGS datasets onto them (3× Sanger, 3× 454 and 20× SOLEXA). A total of 20,779 SNPs were identified over the 1469 gene loci and intergenic space analysed. Within chromosomes the occurrence of SNPs was the lowest in exons and higher in introns and intergenic regions, which may be explained by the fact, that coding regions are under strong selective pressure to maintain their biological function. The ratio of nonsynonymous to synonymous mutations was smaller than one for all the chromosomes, suggesting that most of deleterious nonsynonymous mutations were eliminated by negative selection. SNPs were not uniformly distributed over the chromosomes. Two chromosomes exhibited large regions with extremely low SNP density, which might represent homozygous regions in the diploid genome. The results of this study show how SNP detection can take profit from sequencing a single diploid individual, but also uncover the limits of such an approach. SNPs that have been identified will support marker development for genetic linkage mapping, population genetics and aquaculture related questions in general.     

Comparative analysis of intronless genes in teleost fish genomes: insights into their evolution and molecular function

This study assessed the relationship between the occurrence and function of intronless or single exon genes (SEG) in the genome of five teleost species and their phylogenetic distance. The results revealed that Takifugu rubripes, Tetraodon nigroviridis, Oryzias latipes, Gasterosteus aculeatus and Danio rerio genomes are respectively comprised of 2.83%, 3.42%, 4.49%, 4.35% and 4.02% SEGs. These SEGs encode for a variety of family proteins including claudins, olfactory receptors and histones that are essential for various biological functions. Subsequently, we predicted and annotated SEGs in three European sea bass, Dicentrarchus labrax chromosomes that we have sequenced, and compared results with those of stickleback (G. aculeatus) homologous chromosomes. While the annotation features of three D. labrax chromosomes revealed 78 (5.30%) intronless genes, comparisons with G. aculeatus showed that SEG composition and their order varied significantly among corresponding chromosomes, even for those with nearly complete synteny. More than half of SEGs identified in most of the species have at least one ortholog multiple exon gene in the same genome, which provides insight to their possible origin by retrotransposition. In spite of the fact that they belong to the same lineage, the fraction of predicted SEGs varied significantly between the genomes analyzed, and only a low fraction of proteins (4.1%) is conserved between all five species. Furthermore, the inter-specific distribution of SEGs as well as the functional categories shared by species did not reflect their phylogenetic relationships. These results indicate that new SEGs are continuously and independently generated after species divergence over evolutionary time as evidenced by the phylogenetic results of single exon claudins genes. Although the origin of SEGs cannot be inferred directly from the phylogeny, our results provide strong support for the idea that retrotransposition followed by tandem duplications is the most probable event that can explain the expansion of SEGs in eukaryotic organisms.