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1.
G3 (Bethesda) ; 11(1)2021 01 18.
Article in English | MEDLINE | ID: mdl-33561224

ABSTRACT

In cats, mutations in myosin binding protein C (encoded by the MYBPC3 gene) have been associated with hypertrophic cardiomyopathy (HCM). However, the molecular mechanisms linking these mutations to HCM remain unknown. Here, we establish Drosophila melanogaster as a model to understand this connection by generating flies harboring MYBPC3 missense mutations (A31P and R820W) associated with feline HCM. The A31P and R820W flies displayed cardiovascular defects in their heart rates and exercise endurance. We used RNA-seq to determine which processes are misregulated in the presence of mutant MYBPC3 alleles. Transcriptome analysis revealed significant downregulation of genes encoding small nucleolar RNA (snoRNAs) in exercised female flies harboring the mutant alleles compared to flies that harbor the wild-type allele. Other processes that were affected included the unfolded protein response and immune/defense responses. These data show that mutant MYBPC3 proteins have widespread effects on the transcriptome of co-regulated genes. Transcriptionally differentially expressed genes are also candidate genes for future evaluation as genetic modifiers of HCM as well as candidate genes for genotype by exercise environment interaction effects on the manifestation of HCM; in cats as well as humans.


Subject(s)
Cardiomyopathy, Hypertrophic , Carrier Proteins/genetics , Heat-Shock Proteins/genetics , RNA, Small Nucleolar , Animals , Cardiomyopathy, Hypertrophic/genetics , Cats , Disease Models, Animal , Drosophila , Drosophila melanogaster , Female , Mutation , RNA, Small Nucleolar/genetics
2.
G3 (Bethesda) ; 8(8): 2643-2653, 2018 07 31.
Article in English | MEDLINE | ID: mdl-29871898

ABSTRACT

Prenatal exposure to ethanol causes a wide range of adverse physiological, behavioral and cognitive consequences. However, identifying allelic variants and genetic networks associated with variation in susceptibility to prenatal alcohol exposure is challenging in human populations, since time and frequency of exposure and effective dose cannot be determined quantitatively and phenotypic manifestations are diverse. Here, we harnessed the power of natural variation in the Drosophila melanogaster Genetic Reference Panel (DGRP) to identify genes and genetic networks associated with variation in sensitivity to developmental alcohol exposure. We measured development time from egg to adult and viability of 201 DGRP lines reared on regular or ethanol- supplemented medium and identified polymorphisms associated with variation in susceptibility to developmental ethanol exposure. We also documented genotype-dependent variation in sensorimotor behavior after developmental exposure to ethanol using the startle response assay in a subset of 39 DGRP lines. Genes associated with development, including development of the nervous system, featured prominently among genes that harbored variants associated with differential sensitivity to developmental ethanol exposure. Many of them have human orthologs and mutational analyses and RNAi targeting functionally validated a high percentage of candidate genes. Analysis of genetic interaction networks identified Cyclin E (CycE) as a central, highly interconnected hub gene. Cyclin E encodes a protein kinase associated with cell cycle regulation and is prominently expressed in ovaries. Thus, exposure to ethanol during development of Drosophila melanogaster might serve as a genetic model for translational studies on fetal alcohol spectrum disorder.


Subject(s)
Cyclin E/genetics , Drosophila Proteins/genetics , Drosophila/genetics , Ethanol/pharmacology , Gene Regulatory Networks , Neurogenesis/drug effects , Animals , Cyclin E/metabolism , Drosophila/drug effects , Drosophila/growth & development , Drosophila Proteins/metabolism , Gene Expression Regulation, Developmental , Neurogenesis/genetics
3.
PLoS One ; 10(9): e0138569, 2015.
Article in English | MEDLINE | ID: mdl-26378456

ABSTRACT

Natural populations harbor considerable genetic variation for lifespan. While evolutionary theory provides general explanations for the existence of this variation, our knowledge of the genes harboring naturally occurring polymorphisms affecting lifespan is limited. Here, we assessed the genetic divergence between five Drosophila melanogaster lines selected for postponed senescence for over 170 generations (O lines) and five lines from the same base population maintained at a two week generation interval for over 850 generations (B lines). On average, O lines live 70% longer than B lines, are more productive at all ages, and have delayed senescence for other traits than reproduction. We performed population sequencing of pools of individuals from all B and O lines and identified 6,394 genetically divergent variants in or near 1,928 genes at a false discovery rate of 0.068. A 2.6 Mb region at the tip of the X chromosome contained many variants fixed for alternative alleles in the two populations, suggestive of a hard selective sweep. We also assessed genome wide gene expression of O and B lines at one and five weeks of age using RNA sequencing and identified genes with significant (false discovery rate < 0.05) effects on gene expression with age, population and the age by population interaction, separately for each sex. We identified transcripts that exhibited the transcriptional signature of postponed senescence and integrated the gene expression and genetic divergence data to identify 98 (175) top candidate genes in females (males) affecting postponed senescence and increased lifespan. While several of these genes have been previously associated with Drosophila lifespan, most are novel and constitute a rich resource for future functional validation.


Subject(s)
Aging/genetics , Drosophila melanogaster/genetics , Alleles , Animals , Female , Gene Expression/genetics , Genes, Insect/genetics , Genetic Variation/genetics , Genomics/methods , Longevity/genetics , Male
4.
Genetics ; 183(2): 733-45, 1SI-12SI, 2009 Oct.
Article in English | MEDLINE | ID: mdl-19652175

ABSTRACT

Identification of risk alleles for human behavioral disorders through genomewide association studies (GWAS) has been hampered by a daunting multiple testing problem. This problem can be circumvented for some phenotypes by combining genomewide studies in model organisms with subsequent candidate gene association analyses in human populations. Here, we characterized genetic networks that underlie the response to ethanol exposure in Drosophila melanogaster by measuring ethanol knockdown time in 40 wild-derived inbred Drosophila lines. We associated phenotypic variation in ethanol responses with genomewide variation in gene expression and identified modules of correlated transcripts associated with a first and second exposure to ethanol vapors as well as the induction of tolerance. We validated the computational networks and assessed their robustness by transposon-mediated disruption of focal genes within modules in a laboratory inbred strain, followed by measurements of transcript abundance of connected genes within the module. Many genes within the modules have human orthologs, which provides a stepping stone for the identification of candidate genes associated with alcohol drinking behavior in human populations. We demonstrated the potential of this translational approach by identifying seven intronic single nucleotide polymorphisms of the Malic Enzyme 1 (ME1) gene that are associated with cocktail drinking in 1687 individuals of the Framingham Offspring cohort, implicating that variation in levels of cytoplasmic malic enzyme may contribute to variation in alcohol consumption.


Subject(s)
Drosophila melanogaster/genetics , Ethanol/pharmacology , Gene Expression Regulation/drug effects , Genome-Wide Association Study/methods , Alcohol Drinking/genetics , Animals , Cluster Analysis , Drosophila Proteins/genetics , Drosophila Proteins/metabolism , Female , Gene Regulatory Networks , Genes, Insect/genetics , Genetic Variation , Genome, Insect/genetics , Genotype , Humans , Inbreeding , Malate Dehydrogenase/genetics , Malate Dehydrogenase/metabolism , Male , Phenotype , Polymorphism, Single Nucleotide , Reproducibility of Results , Reverse Transcriptase Polymerase Chain Reaction
5.
Nat Genet ; 41(3): 299-307, 2009 Mar.
Article in English | MEDLINE | ID: mdl-19234471

ABSTRACT

Determining the genetic architecture of complex traits is challenging because phenotypic variation arises from interactions between multiple, environmentally sensitive alleles. We quantified genome-wide transcript abundance and phenotypes for six ecologically relevant traits in D. melanogaster wild-derived inbred lines. We observed 10,096 genetically variable transcripts and high heritabilities for all organismal phenotypes. The transcriptome is highly genetically intercorrelated, forming 241 transcriptional modules. Modules are enriched for transcripts in common pathways, gene ontology categories, tissue-specific expression and transcription factor binding sites. The high degree of transcriptional connectivity allows us to infer genetic networks and the function of predicted genes from annotations of other genes in the network. Regressions of organismal phenotypes on transcript abundance implicate several hundred candidate genes that form modules of biologically meaningful correlated transcripts affecting each phenotype. Overlapping transcripts in modules associated with different traits provide insight into the molecular basis of pleiotropy between complex traits.


Subject(s)
Drosophila melanogaster/genetics , Genetic Variation/physiology , Genetics, Population/methods , Quantitative Trait, Heritable , Amino Acid Sequence , Animals , Animals, Inbred Strains , Base Sequence , Chromosome Mapping , Female , Gene Regulatory Networks/physiology , Male , Molecular Sequence Data , Phenotype , RNA, Messenger/analysis , RNA, Messenger/genetics , RNA, Messenger/metabolism , Sequence Homology, Amino Acid , Tissue Distribution
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