The Genetic Architecture of Gene Expression Levels in Wild Baboons
Ontology highlight
ABSTRACT:
ORGANISM(S): Papio cynocephalus
PROVIDER: GSE63788 | GEO | 2015/02/10
SECONDARY ACCESSION(S): PRJNA269070
REPOSITORIES: GEO
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Project description:Primate evolution has been argued to result, in part, from changes in how genes are regulated. However, we still know little about gene regulation in natural primate populations. We conducted an RNA sequencing (RNA-seq)-based study of baboons from an intensively studied wild population. We performed complementary expression quantitative trait locus (eQTL) mapping and allele-specific expression analyses, discovering substantial evidence for, and surprising power to detect, genetic effects on gene expression levels in the baboons. eQTL were most likely to be identified for lineage-specific, rapidly evolving genes; interestingly, genes with eQTL significantly overlapped between baboons and a comparable human eQTL data set. Our results suggest that genes vary in their tolerance of genetic perturbation, and that this property may be conserved across species. Further, they establish the feasibility of eQTL mapping using RNA-seq data alone, and represent an important step towards understanding the genetic architecture of gene expression in primates. 63 samples (1 per individual) from a wild population of baboons to understand genetic contributions to population variance in gene expression levels
2015-02-10 | E-GEOD-63788 | biostudies-arrayexpress
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Project description:Dysregulation of microRNAs (miRNAs) expression has been implicated in molecular genetics events leading to the progression and development of atherosclerosis. We hypothesized that miRNA expression profiles differ between baboons with low and high serum low-density lipoprotein cholesterol (LDL-C) concentrations in response to diet, and that a subset of these miRNAs regulate genes relevant to dyslipidemia and risk of atherosclerosis. We generated small RNA libraries from baboons differing in their LDL-C response to dietary fat and cholesterol (low LDL-C, n = 3; high LDL-C, n = 3) using liver biopsies collected before and after a high-cholesterol, high-fat (HCHF) challenge diet. We sequenced the libraries using Next-Generation Illumina sequencing methods, analyzed the data using mirTools software and identified 517 baboon miRNAs: 490 homologous to human and 27 novel miRNAs. HCHF diet elicited expression of more miRNAs compared to baseline (chow) diet for both low and high LDL-C baboons. Seventeen miRNAs exhibited significant differential expression in response to HCHF diet in high LDL-C baboons compared to nine miRNAs in low LDL-C baboons. Putative miRNA targets were identified with TargetScan/Base tools. miRNAs significantly targeted more genes in high LDL-C baboons compared to low LDL-C responders. Further, we identified miRNA isomers and other non-coding RNAs that were differentially expressed in response to the challenge diet.Our discovery of differentially expressed baboon miRNAs and their targets is a fundamental step in understanding the role of non-coding RNAs in the modulation of dsylipidemia.
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Project description:Although the mechanisms underlying development of atherosclerosis are not well understood, LDL-C is known to influence expression of endothelial microRNAs (miRNAs) and gene-targets of miRNAs to promote cell senescence. However, the impact of LDL-C on expression of PBMC miRNAs and miRNA targeted genes in response to an atherogenic diet is not known. We hypothesized that miRNA expression profiles differ between baboons with low and high serum low-density lipoprotein cholesterol (LDL-C) concentrations in response to diet, and that microRNA-gene networks in baboons discordant for LDL-Cholesterol We generated small RNA libraries from baboons differing in their LDL-C response to dietary fat and cholesterol (low LDL-C, n = 3; high LDL-C, n = 3) using liver biopsies collected before and after a high-cholesterol, high-fat (HCHF) challenge diet. We sequenced the libraries using Next-Generation Illumina sequencing methods, analyzed the data using mirTools software and identified 517 baboon miRNAs: 490 homologous to human and 27 novel miRNAs. HCHF diet elicited expression of more miRNAs compared to baseline (chow) diet for both low and high LDL-C baboons. Seventeen miRNAs exhibited significant differential expression in response to HCHF diet in high LDL-C baboons compared to nine miRNAs in low LDL-C baboons. Putative miRNA targets were identified with TargetScan/Base tools. miRNAs significantly targeted more genes in high LDL-C baboons compared to low LDL-C responders. Further, we identified miRNA isomers and other non-coding RNAs that were differentially expressed in response to the challenge diet.Our discovery of differentially expressed baboon miRNAs and their targets is a fundamental step in understanding the role of non-coding RNAs in the modulation of dsylipidemia.
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Project description:Mapping of expression quantitative trait loci (eQTL) is a powerful means for elucidating the genetic architecture of gene regulation. Yet, eQTL mapping has not been applied towards investigating the regulation architecture of genes involved in the process of population divergence, ultimately leading to speciation events. Here, we conducted an eQTL mapping experiment to compare the genetic architecture of transcript regulation in adaptive traits differentiating the recently evolved limnetic (dwarf) and benthic (normal) species pairs of lake whitefish. The eQTL were mapped in three data sets derived from a F1 hybrid-dwarf backcrossed family: the entire set of 66 genotyped individuals, and the two sexes treated separately. We identified strikingly more eQTL in the female dataset (174), compared to both male (54) and combined (33) data sets. The majority of these genes were not differentially expressed between male and female progeny of the backcross family, thus providing evidence for a strong pleiotropic sex-linked effect in transcriptomic regulation. The subtelomeric region of a linkage group segregating in females encompassed more than 50% of all eQTL, which exhibited the most pronounced additive effects. We also conducted a direct comparison of transcriptomic profiles between pure dwarf and normal progeny reared in controlled conditions. We detected 34 differentially expressed transcripts associated with eQTL segregating only in sex-specific data-sets, and mostly belonging to functional groups that differentiate dwarf and normal whitefish in natural populations. Therefore, these eQTL are not related to inter-individual variation, but instead to the adaptive and historical genetic divergence between dwarf and normal whitefish. This study exemplifies how the integration of genetic and transcriptomic data offers a strong means for dissecting the functional genomic response to selection by separating mapping family specific effects from genetic factors under selection, potentially involved in the phenotypic divergence of natural populations. Keywords: eQTL mapping
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Project description:Mapping of expression quantitative trait loci (eQTL) is a powerful means for elucidating the genetic architecture of gene regulation. Yet, eQTL mapping has not been applied towards investigating the regulation architecture of genes involved in the process of population divergence, ultimately leading to speciation events. Here, we conducted an eQTL mapping experiment to compare the genetic architecture of transcript regulation in adaptive traits differentiating the recently evolved limnetic (dwarf) and benthic (normal) species pairs of lake whitefish. The eQTL were mapped in three data sets derived from a F1 hybrid-dwarf backcrossed family: the entire set of 66 genotyped individuals, and the two sexes treated separately. We identified strikingly more eQTL in the female dataset (174), compared to both male (54) and combined (33) data sets. The majority of these genes were not differentially expressed between male and female progeny of the backcross family, thus providing evidence for a strong pleiotropic sex-linked effect in transcriptomic regulation. The subtelomeric region of a linkage group segregating in females encompassed more than 50% of all eQTL, which exhibited the most pronounced additive effects. We also conducted a direct comparison of transcriptomic profiles between pure dwarf and normal progeny reared in controlled conditions. We detected 34 differentially expressed transcripts associated with eQTL segregating only in sex-specific data-sets, and mostly belonging to functional groups that differentiate dwarf and normal whitefish in natural populations. Therefore, these eQTL are not related to inter-individual variation, but instead to the adaptive and historical genetic divergence between dwarf and normal whitefish. This study exemplifies how the integration of genetic and transcriptomic data offers a strong means for dissecting the functional genomic response to selection by separating mapping family specific effects from genetic factors under selection, potentially involved in the phenotypic divergence of natural populations. Keywords: eQTL mapping Dissected white muscle tissue (250-350 mg) was sampled for 76 individuals from the hybrid x dwarf backcross mapping family. We used a loop design (YANG and SPEED 2002; CHURCHILL 2002) to maximize the number of sampled meioses. Each of 76 samples was technically replicated on two distinct slides, while performing dye swapping (Cy3 and Alexa) to estimate the dye intensity variation bias. After correcting for local background, raw intensity values were both log2 transformed and normalized using the regional LOWESS method implemented in the R/MANOVA software (KERR et al. 2000). The design file used for the maanova analysis is linked below as a supplementary file.
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