Identification of diabetes susceptibility loci in db mice by combined quantitative trait loci analysis and haplotype mapping

Bhlhe40, a potential diabetic modifier gene on Dbm1 locus, negatively controls myocyte fatty acid oxidation

We have previously identified significant quantitative trait loci (QTL) Dbm1 (diabetic modifier QTL 1) on chromosome 6, affecting plasma glucose and insulin concentrations and body weight on F(2) progeny of hypoinsulinemic diabetic Akita mice, with the heterozygous Ins2 gene Cys96Tyr mutation, and non-diabetic A/J mice. To discover diabetic modifier genes on Dbm1, we constructed congenic strain for Dbm1 using the Akita allele as donor in A/J allele genetic background, and compared diabetes-related phenotypes to control mice. The homozygote for Akita allele of Dbm1 was associated with lower plasma glucose concentrations in glucose tolerance test (GTT) in the hypoinsulinemic condition derived from the Ins2 mutation and lower plasma insulin concentrations and body weight in the normoinsulinemic condition without the Ins2 mutation than the homozygote for A/J allele, as we performed QTL analysis on F(2) intercross mice. The Akita allele also decreased the epididymal white adipose tissue (EWAT) weight. According to the analysis of sub-congenic strains, we narrowed down the responsible diabetic modifier region to 9 Mb. As fourteen candidate genes exist in this region, we analyzed genomic variants of these genes and gene expression in the muscle, liver, and EWAT and identified that Bhlhe40 gene expression in muscle is decreased in congenic mice. According to the in vitro functional analyses, Bhlhe40 was shown to negatively control fatty acid oxidation in cultured myocyte. Based on these, we conclude that Bhlhe40 is a possible candidate diabetic modifier gene responsible for Dbm1 locus affecting diabetes and/or obesity through negatively controlling fatty acid oxidation in muscle.

Diabetic modifier QTL, Dbm4, affecting elevated fasting blood glucose concentrations in congenic mice

We have previously identified four significant quantitative trait loci (QTL) affecting plasma glucose concentrations on F(2) progeny of hypoinsulinemic diabetic Akita mice, heterozygous for the Ins2 gene Cys96Tyr mutation, and non-diabetic A/J mice, one of which on chromosome 15 named Dbm4 (diabetic modifier QTL 4) was shown to affect fasting plasma glucose concentrations with a maximum LOD score of 6.17. To estimate the influence of Dbm4 itself to the diabetes-related phenotypes, we constructed congenic strain with heterozygous Ins2 mutation using the Akita allele as donor of Dbm4 locus in the A/J genetic background, and measured quantitative traits including plasma glucose concentrations in glucose tolerance test (GTT). In this study, we found the Akita allele in Dbm4 was associated with higher fasting plasma glucose concentrations as in previous QTL analysis. According to gene expression assay, key enzymes of hepatic gluconeogenesis were expressed to the more increased degree in the liver of congenic mice compared to the A/J allele based control mice. Based on these results, we concluded that diabetic modifier gene(s) exist on Dbm4 locus affecting fasting plasma glucose concentrations via regulation of gluconeogenic gene expression in the hypoinsulinemic diabetic condition. Identification of the modifier gene responsible for Dbm4 would provide new drug development targets for human type 2 diabetes with hepatic insulin resistance.

Leptin does not directly affect CNS serotonin neurons to influence appetite

Serotonin (5-HT) and leptin play important roles in the modulation of energy balance. Here we investigated mechanisms by which leptin might interact with CNS 5-HT pathways to influence appetite. Although some leptin receptor (LepRb) neurons lie close to 5-HT neurons in the dorsal raphe (DR), 5-HT neurons do not express LepRb. Indeed, while leptin hyperpolarizes some non-5-HT DR neurons, leptin does not alter the activity of DR 5-HT neurons. Furthermore, 5-HT depletion does not impair the anorectic effects of leptin. The serotonin transporter-cre allele (Sert(cre)) is expressed in 5-HT (and developmentally in some non-5-HT) neurons. While Sert(cre) promotes LepRb excision in a few LepRb neurons in the hypothalamus, it is not active in DR LepRb neurons, and neuron-specific Sert(cre)-mediated LepRb inactivation in mice does not alter body weight or adiposity. Thus, leptin does not directly influence 5-HT neurons and does not meaningfully modulate important appetite-related determinants via 5-HT neuron function.

PosMed-plus: an intelligent search engine that inferentially integrates cross-species information resources for molecular breeding of plants

Molecular breeding of crops is an efficient way to upgrade plant functions useful to mankind. A key step is forward genetics or positional cloning to identify the genes that confer useful functions. In order to accelerate the whole research process, we have developed an integrated database system powered by an intelligent data-retrieval engine termed PosMed-plus (Positional Medline for plant upgrading science), allowing us to prioritize highly promising candidate genes in a given chromosomal interval(s) of Arabidopsis thaliana and rice, Oryza sativa. By inferentially integrating cross-species information resources including genomes, transcriptomes, proteomes, localizomes, phenomes and literature, the system compares a user's query, such as phenotypic or functional keywords, with the literature associated with the relevant genes located within the interval. By utilizing orthologous and paralogous correspondences, PosMed-plus efficiently integrates cross-species information to facilitate the ranking of rice candidate genes based on evidence from other model species such as Arabidopsis. PosMed-plus is a plant science version of the PosMed system widely used by mammalian researchers, and provides both a powerful integrative search function and a rich integrative display of the integrated databases. PosMed-plus is the first cross-species integrated database that inferentially prioritizes candidate genes for forward genetics approaches in plant science, and will be expanded for wider use in plant upgrading in many species.

PosMed (Positional Medline): prioritizing genes with an artificial neural network comprising medical documents to accelerate positional cloning

PosMed (http://omicspace.riken.jp/) prioritizes candidate genes for positional cloning by employing our original database search engine GRASE, which uses an inferential process similar to an artificial neural network comprising documental neurons (or 'documentrons') that represent each document contained in databases such as MEDLINE and OMIM. Given a user-specified query, PosMed initially performs a full-text search of each documentron in the first-layer artificial neurons and then calculates the statistical significance of the connections between the hit documentrons and the second-layer artificial neurons representing each gene. When a chromosomal interval(s) is specified, PosMed explores the second-layer and third-layer artificial neurons representing genes within the chromosomal interval by evaluating the combined significance of the connections from the hit documentrons to the genes. PosMed is, therefore, a powerful tool that immediately ranks the candidate genes by connecting phenotypic keywords to the genes through connections representing not only gene-gene interactions but also other biological interactions (e.g. metabolite-gene, mutant mouse-gene, drug-gene, disease-gene and protein-protein interactions) and ortholog data. By utilizing orthologous connections, PosMed facilitates the ranking of human genes based on evidence found in other model species such as mouse. Currently, PosMed, an artificial superbrain that has learned a vast amount of biological knowledge ranging from genomes to phenomes (or 'omic space'), supports the prioritization of positional candidate genes in humans, mouse, rat and Arabidopsis thaliana.

Candidate genes for plasma triglyceride, FFA, and glucose revealed from an intercross between inbred mouse strains NZB/B1NJ and NZW/LacJ

To identify the genes controlling plasma concentrations of triglycerides (TGs), FFAs, and glucose, we carried out a quantitative trait loci (QTL) analysis of the closely related mouse strains New Zealand Black (NZB/B1NJ) and New Zealand White (NZW/LacJ), which share 63% of their genomes. The NZB x NZW F(2) progeny were genotyped and phenotyped to detect QTL, and then comparative genomics, bioinformatics, and sequencing were used to narrow the QTL and reduce the number of candidate genes. Triglyceride concentrations were linked to loci on chromosomes (Chr) 4, 7, 8, 10, and 18. FFA concentrations were affected by a significant locus on Chr 4, a suggestive locus on Chr 16, and two interacting loci on Chr 2 and 15. Plasma glucose concentrations were affected by QTL on Chr 2, 4, 7, 8, 10, 15, 17, and 18. Comparative genomics narrowed the QTL by 31% to 86%; haplotype analysis was usually able to further narrow it by 80%. We suggest several candidate genes: Gba2 on Chr 4, Irs2 on Chr 8, and Ppargc1b on Chr 18 for TG; A2bp1 on Chr 16 for FFA; and G6pc2 on Chr 2 and Timp3 on Chr 10 for glucose.

The genetic landscape of type 2 diabetes in mice

Inbred mouse strains provide genetic diversity comparable to that of the human population. Like humans, mice have a wide range of diabetes-related phenotypes. The inbred mouse strains differ in the response of their critical physiological functions, such as insulin sensitivity, insulin secretion, beta-cell proliferation and survival, and fuel partitioning, to diet and obesity. Most of the critical genes underlying these differences have not been identified, although many loci have been mapped. The dramatic improvements in genomic and bioinformatics resources are accelerating the pace of gene discovery. This review describes how mouse genetics can be used to discover diabetes-related genes, summarizes how the mouse strains differ in their diabetes-related phenotypes, and describes several examples of how loci identified in the mouse may directly relate to human diabetes.