A second gene for peroxisomal HMG-CoA reductase? A genomic reassessment

HMG-CoA reductase (HMGCR) catalyzes the conversion of HMG-CoA to mevalonate, the rate-limiting step of eukaryotic isoprenoid biosynthesis, and is the main target of cholesterol-lowering drugs. The classical form of the enzyme is a transmembrane-protein anchored to the endoplasmic reticulum. However, during the last years several lines of evidence pointed to the existence of a second isoform of HMGCR localized in peroxisomes, where mevalonate is converted further to farnesyl diphosphate. This finding is relevant for our understanding of the complex regulation and compartmentalization of the cholesterogenic pathway. Here we review experimental evidence suggesting that the peroxisomal activity might be due to a second HMGCR gene in mammals. We then present a comprehensive analysis of completely sequenced eukaryotic genomes, as well as the human and mouse genome drafts. Our results provide evidence for a large number of independent duplications of HMGCR in all eukaryotic kingdoms, but not for a second gene in mammals. We conclude that the peroxisomal HMGCR activity in mammals is due to alternative targeting of the ER enzyme to peroxisomes by an as yet uncharacterized mechanism.     

A new gene for asthma: would you ADAM and Eve it?

Recently, a novel gene was reported to underlie asthma. Linkage to the short arm of chromosome 20 in a genome screen was followed by positive tests of association that centre on the gene for a membrane-anchored zinc-dependent metalloproteinase known as ADAM33. The domain structure of the ADAM33 protein gives capabilities of proteolysis, adhesion, cell fusion and intracellular signalling. Although its function is at present unknown, these potential actions of ADAM33 provide many possibilities for further research.     

A genome-wide screen of gene–gene interactions for rheumatoid arthritis susceptibility

The objective of the study was to identify interacting genes contributing to rheumatoid arthritis (RA) susceptibility and identify SNPs that discriminate between RA patients who were anti-cyclic citrullinated protein positive and healthy controls. We analyzed two independent cohorts from the North American Rheumatoid Arthritis Consortium. A cohort of 908 RA cases and 1,260 controls was used to discover pairwise interactions among SNPs and to identify a set of single nucleotide polymorphisms (SNPs) that predict RA status, and a second cohort of 952 cases and 1,760 controls was used to validate the findings. After adjusting for HLA-shared epitope alleles, we identified and replicated seven SNP pairs within the HLA class II locus with significant interaction effects. We failed to replicate significant pairwise interactions among non-HLA SNPs. The machine learning approach “random forest” applied to a set of SNPs selected from single-SNP and pairwise interaction tests identified 93 SNPs that distinguish RA cases from controls with 70% accuracy. HLA SNPs provide the most classification information, and inclusion of non-HLA SNPs improved classification. While specific gene–gene interactions are difficult to validate using genome-wide SNP data, a stepwise approach combining association and classification methods identifies candidate interacting SNPs that distinguish RA cases from healthy controls.     

A new gene for Tourette's syndrome: a window into causal mechanisms?

Gilles de la Tourette syndrome (GTS) is a neurodevelopmental disorder characterized by impairing motor-vocal tics. Locating genetic loci by associating the phenotype with DNA translocations, inversions, gain or losses, State et al. identified SLITRK1 as a candidate gene in an individual with GTS and inv(13) (q31.1; q33.1). This gene was also associated with abnormal axonal-dendritic development in embryonic mouse cells. Although SLITRK1 is not a major causal gene for GTS, it can shed light on our understanding of the gene-based neural correlates of this disease.     

Shuttling between species for pathways of lifespan regulation: A central role for the vitellogenin gene family?

Studies to find genes that affect maximum lifespan aim at identifying important determinants of ageing that may be universal across species. Model organisms show insulin signalling can play an important role in ageing. In view of insulin resistance, such loci can also be important in human ageing and health. The study of long-lived humans and their children points to the relevance of lipoprotein profiles and particle size for longevity. If ageing pathways are conserved, then the genes mediating such pathways may also be conserved. Cross-species sequence comparisons of potential longevity loci may reveal whether the pathways that they represent are central themes in lifespan regulation. Using bioinformatic tools, we performed a sequence comparison of the genes involved in lipid metabolism identified in humans as potential longevity loci. This analysis revealed that lipid storage and transport may be a common theme related to longevity in humans, honeybees and nematodes. Here, the vitellogenin family emerges as a potential key connection between lipid metabolism and the insulin/IGF-1 signalling pathway.     

Identity crisis? The need for systematic gene IDs

Recent years have seen an explosion in the availability of protozoan pathogen genome sequences. Although data regarding the underlying genome sequence remain relatively stable after the initial draft, understanding of specific gene function is increasing rapidly. This dichotomy is reflected in the relative stability of systematic gene identifiers (SysIDs(*)) in genome sequence databases, as compared to evolving and/or conflicting gene and gene product names. GenBank/EMBL/DDBJ accession numbers are important, but most protozoan parasite researchers use organism-based databases such as EuPathDB or GeneDB as their immediate resource for gene-based information because they not only provide sequence information but also functional information and links to references. Reference to SysIDs therefore provides a valuable bridge to this repository of information.     

A need for niches?

The idea that different species must have distinct ecologies if they are to coexist has been challenged recently by the claim that some models involving stochastic factors or clumped spatial distributions permit stable coexistence of species that are identical or differ only in competitive ability. However, these models have been misinterpreted; except in rather limited circumstances, they provide further support for the notion that species must be sufficiently ecologically distinct to coexist stably. The possible, limited, exceptions to this rule involve social factors by which individuals of a species discriminate between heterospecifics and conspecifics without there being any true ecological differences between species.     

A straightjacket for pain?

Perception of pain involves both the peripheral and central nervous systems. Starting with a whole-genome RNA interference screen in Drosophila, Neely et?al. (2010) identify a mammalian gene that is required not only for efficient transfer of pain signals between brain centers, but also for the suppression of inappropriate signaling between other sensory systems.     

Globin gene switching: A paradigm or what?

The delineation of the beta-globin locus control region has led to a new understanding of the developmental regulation of the beta-globin gene cluster. It now seems that globin gene switching is effected through the sequential and mutually exclusive interaction of the locus control region with the embryonic, fetal and adult stage specific globin genes.