Caenorhabditis elegans

Complete killing of Caenorhabditis elegans by Burkholderia pseudomallei is dependent on prolonged direct association with the viable pathogen

Background

Burkholderia pseudomallei is the causative agent of melioidosis, a disease of significant morbidity and mortality in both human and animals in endemic areas. Much remains to be known about the contributions of genotypic variations within the bacteria and the host, and environmental factors that lead to the manifestation of the clinical symptoms of melioidosis.

Methodology/Principal Findings

In this study, we showed that different isolates of B. pseudomallei have divergent ability to kill the soil nematode Caenorhabditis elegans. The rate of nematode killing was also dependent on growth media: B. pseudomallei grown on peptone-glucose media killed C. elegans more rapidly than bacteria grown on the nematode growth media. Filter and bacteria cell-free culture filtrate assays demonstrated that the extent of killing observed is significantly less than that observed in the direct killing assay. Additionally, we showed that B. pseudomallei does not persistently accumulate within the C. elegans gut as brief exposure to B. pseudomallei is not sufficient for C. elegans infection.

Conclusions/Significance

A combination of genetic and environmental factors affects virulence. In addition, we have also demonstrated that a Burkholderia-specific mechanism mediating the pathogenic effect in C. elegans requires proliferating B. pseudomallei to continuously produce toxins to mediate complete killing.

Ectopic expression of a Haemonchus contortus GATA transcription factor in Caenorhabditis elegans reveals conserved function in spite of extensive sequence divergence

Comparative analysis between Caenorhabditis elegans and other nematode species offers a powerful approach to study gene function. C. elegans also has great potential as a surrogate expression system to study the function of genes from parasitic nematode species where transgenic methodologies are unavailable. However there is little information on the extent to which the biology of C. elegans is conserved with other nematode species and very few parasitic nematode genes have yet been functionally expressed in C. elegans. We have identified and characterised a homologue of the C. elegans GATA transcription factor elt-2, a central regulator of endoderm development, from the parasitic nematode Haemonchus contortus. The H. contortus ELT-2 polypeptide is present in endoderm nuclei throughout embryonic and post-embryonic development, except for in the infective L3 stage, and our experiments reveal that the development of the H. contortus endodermal lineage is strikingly similar to that of C. elegans. Sequence conservation between the H. contortus and C. elegans ELT-2 polypeptides broadly reflects function since the major region of sequence identity corresponds to the DNA binding domain. However, the overall level of sequence identity is remarkably low with the only other major region of identity corresponding to an unusual zinc finger domain. In spite of this, ectopic expression of the H. contortus elt-2 gene in transgenic C. elegans is sufficient to activate a programme of endodermal differentiation demonstrating that function is highly conserved. This approach of ectopic expression using an inducible promoter provides an effective way in which to use C. elegans for the in vivo functional analysis of parasitic nematode genes.

The third activity for lysyl hydroxylase 3: galactosylation of hydroxylysyl residues in collagens in vitro

Lysyl hydroxylase (LH, EC 1.14.11.4), galactosyltransferase (EC 2.4.1.50) and glucosyltransferase (EC 2.4.1.66) are enzymes involved in posttranslational modifications of collagens. They sequentially modify lysyl residues in specific positions to hydroxylysyl, galactosylhydroxylysyl and glucosylgalactosyl hydroxylysyl residues. These structures are unique to collagens and essential for their functional activity. Lysines and hydroxylysines form collagen cross-links. Hydroxylysine derived cross-links, usually as glycosylated forms, occur especially in weight-bearing and mineralized tissues. The detailed functions of the hydroxylysyl and hydroxylysyl linked carbohydrate structures are not known, however. Hydroxylysine linked carbohydrates are found mainly in collagens, but recent reports indicate that these structures are also present and probably have an important function in other proteins. Earlier we have shown that human LH3, but not isoforms LH1, LH2a and LH2b, possesses both LH and glucosyltransferase activity (J. Biol. Chem. 275 (2000) 36158). In this paper we demonstrate that galactosyltransferase activity is also associated with the same gene product, thus indicating that one gene product can catalyze all three consecutive steps in hydroxylysine linked carbohydrate formation. In vitro mutagenesis experiments indicate that Cys(144) and aspartates in positions 187-191 of LH3 are important for the galactosyltransferase activity. Our results suggest that manipulation of the gene for LH3 can be used to selectively alter the glycosylation and hydroxylation reactions, and provides a new tool to clarify the functions of the unique hydroxylysine linked carbohydrates in collagens and other proteins.

Targets of TGF beta-related signaling in Caenorhabditis elegans

With the characterization of the Smads 5 years ago, it became possible to trace the TGFbeta signal transduction pathway from the plasma membrane to the nucleus. Since that time, many Smad interaction partners, cofactors and target genes have been identified using a variety of experimental approaches and model systems. Understanding how these partners generate tissue specificity and crosstalk between pathways is an ongoing pursuit for the field of TGFbeta signal transduction. The nematode Caenorhabditis elegans provides a simple, genetically tractable model organism in which to address this goal. This review will examine progress towards the identification of cellular and molecular targets of TGFbeta-related signaling in C. elegans.

PartsList: a web-based system for dynamically ranking protein folds based on disparate attributes, including whole-genome expression and interaction information

As the number of protein folds is quite limited, a mode of analysis that will be increasingly common in the future, especially with the advent of structural genomics, is to survey and re-survey the finite parts list of folds from an expanding number of perspectives. We have developed a new resource, called PartsList, that lets one dynamically perform these comparative fold surveys. It is available on the web at http://bioinfo.mbb.yale.edu/partslist and http://www.partslist.org. The system is based on the existing fold classifications and functions as a form of companion annotation for them, providing 'global views' of many already completed fold surveys. The central idea in the system is that of comparison through ranking; PartsList will rank the approximately 420 folds based on more than 180 attributes. These include: (i) occurrence in a number of completely sequenced genomes (e.g. it will show the most common folds in the worm versus yeast); (ii) occurrence in the structure databank (e.g. most common folds in the PDB); (iii) both absolute and relative gene expression information (e.g. most changing folds in expression over the cell cycle); (iv) protein-protein interactions, based on experimental data in yeast and comprehensive PDB surveys (e.g. most interacting fold); (v) sensitivity to inserted transposons; (vi) the number of functions associated with the fold (e.g. most multi-functional folds); (vii) amino acid composition (e.g. most Cys-rich folds); (viii) protein motions (e.g. most mobile folds); and (ix) the level of similarity based on a comprehensive set of structural alignments (e.g. most structurally variable folds). The integration of whole-genome expression and protein-protein interaction data with structural information is a particularly novel feature of our system. We provide three ways of visualizing the rankings: a profiler emphasizing the progression of high and low ranks across many pre-selected attributes, a dynamic comparer for custom comparisons and a numerical rankings correlator. These allow one to directly compare very different attributes of a fold (e.g. expression level, genome occurrence and maximum motion) in the uniform numerical format of ranks. This uniform framework, in turn, highlights the way that the frequency of many of the attributes falls off with approximate power-law behavior (i.e. according to V(-b), for attribute value V and constant exponent b), with a few folds having large values and most having small values.