Systems Genetics and Systems Biology Analysis of Paraquat Neurotoxicity in BXD Recombinant Inbred Mice

Paraquat (PQ) is an herbicide used in many countries, including the United States. It is also implicated as a risk factor for sporadic Parkinson’s disease, especially in those living in agricultural areas and drinking well water. Studies linking PQ to sporadic Parkinson’s disease are not consistent however and there appears to be interindividual differential susceptibility. One likely reason is genetically based differential susceptibility to paraquat neurotoxicity in subpopulations. To address this issue, we tested the effects of paraquat in a genetic reference population of mice (the BXD recombinant inbred strain family). In our earlier work, we showed that in genetically susceptible mice, paraquat increases iron in the ventral midbrain, the area containing the substantia nigra. Our hypothesis is that genetic variability contributes to diverse PQ-related susceptibility and iron concentration. To test this hypothesis, we treated male mice from 28 to 39 BXD strains plus the parental strains with 1 of 3 doses of paraquat, 1, 5, and 10 mg/kg 3 times on a weekly basis. At the end of the treatment period, we analyzed the ventral midbrain for concentrations of iron, copper, and zinc, also we measured the concentration of paraquat in cerebellum, and proinflammatory cytokines in serum and cerebellum. The effect on paraquat-treated mice with 5 mg/kg and principal component analysis of iron showed suggestive quantitative trait loci on chromosome 5. Overall, our results suggest that gene Prkag2 and related networks may serve as potential targets against paraquat toxicity and demonstrate the utility of genetically diverse mouse models for the study of complex human toxicity.

High-Resolution Maps of Mouse Reference Populations

Genetic reference panels are widely used to map complex, quantitative traits in model organisms. We have generated new high-resolution genetic maps of 259 mouse inbred strains from recombinant inbred strain panels (C57BL/6J x DBA/2J, ILS/IbgTejJ x ISS/IbgTejJ, C57BL/6J x A/J) and chromosome substitution strain panels (C57BL/6J-Chr#<A/J>, C57BL/6J-Chr#<PWD/Ph>, C57BL/6JChr#<MSM/Ms>). We genotyped all samples using the Affymetrix Mouse Diversity Array with an average inter-marker spacing of 4.3kb. The new genetic maps provide increased precision in the localization of recombination breakpoints compared to the previous maps. Although the strains were presumed to be fully inbred, we found residual heterozygosity in 40% of individual mice from five of the six panels. We also identified de novo deletions and duplications, in homozygous or heterozygous state, ranging in size from 21kb to 8.4Mb. Almost two–thirds (46 out of 76) of these deletions overlap exons of protein coding genes and may have phenotypic consequences. Twenty-nine putative gene conversions were identified in the chromosome substitution strains. We find that gene conversions are more likely to occur in regions where the homologous chromosomes are more similar. The raw genotyping data and genetic maps of these strain panels are available at http://churchill-lab.jax.org/website/MDA.

Abstract 595: Genomic, Transcriptomic and MiRNomic Analysis of Triglyceride and Cholesterol Distribution into Lipoprotein Fractions in the Rat

Background: Dyslipidemia is central to the definition of metabolic syndrome (MS), one of most prevalent human diseases worldwide. We preformed genome-wide association study (GWAS) of triacylglycerols (TG) and cholesterol (C) distribution into lipoprotein fractions in the recombinant inbred strain panel PXO (segregating alleles of two MS models, SHR and PD strains, together with those of normolipidemic Brown Norway strain origin), followed by transcriptomic and miRNomic (microRNA profiling) analyses. Methods: We established morphometric and metabolic profile in adult male rats of 14 PXO strains and two progenitor strains (n=183) including glucose tolerance and TG and C concentrations in 20 lipoprotein fractions. GWAS utilizing >20,000 SNPs was performed using MapManager, the significance validated by 2000 permutations per trait. The hepatic transcriptome and miRNome profiles of the most contrasting strains were generated using Affymetrix GeneAtlas system followed by network analysis (Ingenuity Pathway Analysis). Results: We have identified 14 haplotype blocks showing suggestive or significant linkage to studied traits. Except for LDL-TG loci on chromosomes 3 and 12, PXO strains carrying the SHR allele displayed significantly higher values of the lipid linked traits, e.g. LDL-C (21.2±0.4 vs. 12.5±0.4 mg/dl in PXO strains with SHR allele vs. BXH2 allele). C concentrations in large, medium and very small LDL particles were significantly associated to a single gene ( Lrp1b ). Subsequent transcriptomic comparison of phenotypically most contrasting identified series of dysregulated metabolic and signaling pathways including cholesterol biosynthesis and the key upstream regulators such as HNF1 , HNF4 and PPARA . Conclusion: We identified several novel variants associated to TG and C concentrations in lipoprotein fractions together with their transcriptomic and biological network correlates.

Quantitative trait loci for impaired glucose tolerance in nondiabetic SM/J and A/J mice

The SMXA-5 recombinant inbred strain, which was established from nondiabetic parental SM/J and A/J mice, develops diabetic phenotypes such as impaired glucose tolerance. The combination of diabetogenic genes in the SM/J and A/J genomes impairs glucose tolerance in SMXA-5 mice. Using (SM/J × SMXA-5)F2 mice fed a high-fat diet, we previously detected a diabetogenic locus, T2dm2sa, on chromosome (Chr) 2. The A/J allele at this locus is diabetogenic. The SM.A- T2dm2sa congenic mouse, in which the Chr 2 region of A/J including T2dm2sa was introgressed into SM/J, showed obviously impaired glucose tolerance. These results indicate that SM.A- T2dm2sa mice develop diabetogenic traits due to T2dm2sa with the A/J allele and unknown diabetogenic loci with the SM/J allele. The aim of this study was to dissect these unknown loci, using quantitative trait locus (QTL) analysis in the (A/J × SM.A- T2dm2sa) F2 intercross fed a high-fat diet. The results revealed a highly significant QTL, T2dm4sa, for glucose tolerance on Chr 6 and a significant QTL, T2dm5sa, for glucose tolerance on Chr 11. These loci with the SM/J allele were diabetogenic. The diabetogenic effect of T2dm4sa or T2dm5sa was verified by the impairment of glucose tolerance in the A/J-6SM or A/J-11SM consomic strain, in which Chr 6 or Chr 11 of SM/J is introgressed into A/J, respectively. These results demonstrate that diabetogenic loci exist in the genomes of nondiabetic A/J and SM/J mice and suggest that T2dm2sa with the A/J allele and T2dm4sa and/or T2dm5sa with the SM/J allele elicit impaired glucose tolerance in SM.A- T2dm2sa mice.