A circuit model of the temporal pattern generator of <Emphasis Type="Italic">Caenorhabditis</Emphasis> egg-laying behavior

Background  

Egg-laying behavior in the nematode C. elegans displays a distinct clustered temporal pattern: egg-laying events occur primarily in bursts or active phases, separated by inactive phases during which eggs are retained. The onset of the active phase can be modeled as a Poisson process with a time constant of approximately 20 minutes, while egg-laying events within an active phase occur with a faster time constant of approximately 20 seconds. Here we propose a cellular model for how the temporal pattern of egg-laying might be generated, based on genetic and cell-biological experiments and statistical analyses.     

A membrane protein with similarity to N-methylphenylalanine pilins is essential for DNA binding by competent Bacillus subtilis.

In a cloned copy of comG open reading frame 3 (ORF3), an in-frame deletion was generated by site-directed in vitro mutagenesis, removing the coding sequence for 15 amino acids from the central portion of this pilin-related protein. The mutagenized ORF3 was incorporated into the Bacillus subtilis chromosome, replacing the wild-type ORF3. The presence of the deleted ORF3 in the chromosome, as confirmed by Southern analysis, was associated with the complete loss of competence by the mutant strain. The ability of the mutant cells to bind exogenous radiolabeled DNA was reduced to the level of nonspecific binding of DNA by noncompetent cells. The chromosomal ORF3 mutation was partially complemented in trans by a plasmid-encoded wild-type ORF3 copy under PSPAC control upon induction of the PSPAC promoter. Using antiserum raised against a synthetic 14-mer oligopeptide deduced from the ORF3 sequence, an immunoreactive band of approximately the expected molecular size was obtained in Western blot (immunoblot) experiments with extracts of cells containing the plasmid-encoded inducible gene. A signal was also detected when cells harboring the chromosomal wild-type or mutant ORF3 in single copy were grown in competence medium. This signal was detected only in the light-buoyant-density (competent) cell fraction and only after the transition from the exponential to the stationary growth phase. In cell fractionation experiments with competent cell extracts, the immunoreactive protein was found in both the NaOH-insoluble and -soluble membrane fractions and was sensitive to proteinase K treatment of either protoplasts or whole cells.     

Recombinant human monoclonal antibodies. Basic principles of the immune system transferred to E. coli.

To produce human monoclonal antibodies in bacteria, a gene repertoire of IgM variable regions was isolated from human peripheral B lymphocytes by the polymerase chain reaction. Alternatively, synthetic antibody genes with random hypervariable regions are being generated that may provide libraries of even higher complexity. For the selection of specific monoclonal antibodies from these libraries, we have developed two E. coli vector systems that facilitate the surface display of an antibody physically linked to its own gene. The phagemid pSEX encodes a fusion protein of an antigen binding domain (Fv-antibody) with the docking protein (pIII) of filamentous phages. Specific antibody genes can therefore be enriched by antigen affinity chromatography. The plasmid pAP1 encodes a fusion protein of an Fv-antibody with a bacterial cell-wall protein. Bacteria carrying this plasmid express functional Fv-antibodies tightly bound to their surface. This should enable the selection of single cells with a fluorescence-assisted cell sorter (FACS) using labeled antigen or by adsorption to immobilized antigen. These vectors permit three major principles of the antibody response to be mimicked in E. coli: 1. Generation of a highly complex antibody repertoire; 2. Clonal selection procedures for library screening; and 3. The possibility of increasing a given affinity by repeated rounds of mutation and selection.     

Output ordering and prioritisation system (OOPS): ranking biosynthetic gene clusters to enhance bioactive metabolite discovery

The rapid increase of publicly available microbial genome sequences has highlighted the presence of hundreds of thousands of biosynthetic gene clusters (BGCs) encoding valuable secondary metabolites. The experimental characterization of new BGCs is extremely laborious and struggles to keep pace with the in silico identification of potential BGCs. Therefore, the prioritisation of promising candidates among computationally predicted BGCs represents a pressing need. Here, we propose an output ordering and prioritisation system (OOPS) which helps sorting identified BGCs by a wide variety of custom-weighted biological and biochemical criteria in a flexible and user-friendly interface. OOPS facilitates a judicious prioritisation of BGCs using G+C content, coding sequence length, gene number, cluster self-similarity and codon bias parameters, as well as enabling the user to rank BGCs based upon BGC type, novelty, and taxonomic distribution. Effective prioritisation of BGCs will help to reduce experimental attrition rates and improve the breadth of bioactive metabolites characterized.     

Multifunctional CMOS microchip coatings for protein and peptide arrays

Complementary metal oxide semiconductor (CMOS) microelectronic chips fulfill important functions in the field of biomedical research, ranging from the generation of high complexity DNA and protein arrays to the detection of specific interactions thereupon. Nevertheless, the issue of merging pure CMOS technology with a chemically stable surface modification which further resists interfering nonspecific protein adsorption has not been addressed yet. We present a novel surface coating for CMOS microchips based on poly(ethylene glycol)methacrylate graft polymer films, which in addition provides high loadings of functional groups for the linkage of probe molecules. The coated microchips were compatible with the harshest conditions emerging in microarray generating methods, thoroughly retaining structural integrity and microelectronic functionality. Nonspecific adsorption of proteins on the chip's surface was completely obviated even with complex serum protein mixtures. We could demonstrate the background-free antibody staining of immobilized probe molecules without using any blocking agents, encouraging further integration of CMOS technology in proteome research.     

Genome-based phylogenetic analysis of Streptomyces and its relatives

MotivationStreptomyces is one of the best-studied genera of the order Actinomycetales due to its great importance in medical science, ecology and the biotechnology industry. A comprehensive, detailed and robust phylogeny of Streptomyces and its relatives is needed for understanding how this group emerged and maintained such a vast diversity throughout evolution and how soil-living mycelial forms (e.g., Streptomyces s. str.) are related to parasitic, unicellular pathogens (e.g., Mycobacterium tuberculosis) or marine species (e.g., Salinispora tropica). The most important application area of such a phylogenetic analysis will be in the comparative re-annotation of genome sequences and the reconstruction of Streptomyces metabolic networks for biotechnology.MethodsClassical 16S-rRNA-based phylogenetic reconstruction does not guarantee to produce well-resolved robust trees that reflect the overall relationship between bacterial species with widespread horizontal gene transfer. In our study we therefore combine three whole genome-based phylogenies with eight different, highly informative single-gene phylogenies to determine a new robust consensus tree of 45 Actinomycetales species with completely sequenced genomes.ResultsNone of the individual methods achieved a resolved phylogeny of Streptomyces and its relatives. Single-gene approaches failed to yield a detailed phylogeny; even though the single trees are in good agreement among each other, they show very low resolution of inner branches. The three whole genome-based methods improve resolution considerably. Only by combining the phylogenies from single gene-based and genome-based approaches we finally obtained a consensus tree with well-resolved branches for the entire set of Actinomycetales species. This phylogenetic information is stable and informative enough for application to the system-wide comparative modeling of bacterial physiology.     

Gene expression in cortex and hippocampus during acute pneumococcal meningitis

Background  

Pneumococcal meningitis is associated with high mortality (~30%) and morbidity. Up to 50% of survivors are affected by neurological sequelae due to a wide spectrum of brain injury mainly affecting the cortex and hippocampus. Despite this significant disease burden, the genetic program that regulates the host response leading to brain damage as a consequence of bacterial meningitis is largely unknown.     

Mapping determinants of gene expression plasticity by genetical genomics in C. elegans

Recent genetical genomics studies have provided intimate views on gene regulatory networks. Gene expression variations between genetically different individuals have been mapped to the causal regulatory regions, termed expression quantitative trait loci. Whether the environment-induced plastic response of gene expression also shows heritable difference has not yet been studied. Here we show that differential expression induced by temperatures of 16 °C and 24 °C has a strong genetic component in Caenorhabditis elegans recombinant inbred strains derived from a cross between strains CB4856 (Hawaii) and N2 (Bristol). No less than 59% of 308 trans-acting genes showed a significant eQTL-by-environment interaction, here termed plasticity quantitative trait loci. In contrast, only 8% of an estimated 188 cis-acting genes showed such interaction. This indicates that heritable differences in plastic responses of gene expression are largely regulated in trans. This regulation is spread over many different regulators. However, for one group of trans-genes we found prominent evidence for a common master regulator: a transband of 66 coregulated genes appeared at 24 °C. Our results suggest widespread genetic variation of differential expression responses to environmental impacts and demonstrate the potential of genetical genomics for mapping the molecular determinants of phenotypic plasticity.     

Ab initio prediction of metabolic networks using Fourier transform mass spectrometry data

Fourier transform mass spectrometry has recently been introduced into the field of metabolomics as a technique that enables the mass separation of complex mixtures at very high resolution and with ultra high mass accuracy. Here we show that this enhanced mass accuracy can be exploited to predict large metabolic networks ab initio, based only on the observed metabolites without recourse to predictions based on the literature. The resulting networks are highly information-rich and clearly non-random. They can be used to infer the chemical identity of metabolites and to obtain a global picture of the structure of cellular metabolic networks. This represents the first reconstruction of metabolic networks based on unbiased metabolomic data and offers a breakthrough in the systems-wide analysis of cellular metabolism.