Reduced parallel gene expression evolution with increasing genetic divergence
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ABSTRACT:
PROVIDER: PRJEB79716 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Strains of increasing genetic divergence to the reference strain
| PRJNA124269 | ENA
Project description:Understanding how polygenic traits evolve and respond to selection is a major unsolved problem, because challenges exist for identifying genes underlying a complex trait and understanding how multi-locus selection operates in the genome. Here we used artificial selection experiments to study polygenic response to selection. Inbred strains from seven independent long-term selection experiments in mice for extreme bodyweight (“High” lines weigh 77-42g vs. 40-16g in “Controls” lines), were genotyped at 527,572 SNPs to identify genetic variants controlling bodyweight. We identified 67 high-resolution parallel selected regions (PSRs) where multiple High lines share variants rarely found among the Controls. By comparing allele frequencies in one selection experiment against its unselected control, we found classical selective sweep signatures centered on the PSRs. Multiple lines of evidence support two G protein-coupled receptors GPR133 and Prlhr, as positional candidate genes controlling bodyweight. Artificial selection may mimic natural selection in the wild: compared to control loci, we detected reduced heterozygosity in PSRs in wild populations of unusually large mice on islands. Many PSRs overlap loci associated with human height variation, possibly through evolutionary conservation of functional pathways. Our data suggest that parallel selection on complex traits may evoke parallel responses at many genes involved in diverse but relevant pathways. These samples were used to test the enrichment of certain gene functional categories. Genomic DNA SNP comparison between artificially selected high lines (BEH, DAHi, DUH, MUH, EDH, RAHi, Du6/G154 and Du6i/G80) and unselected control lines.
2012-06-29 | E-GEOD-36409 | biostudies-arrayexpress
Project description:Understanding how polygenic traits evolve and respond to selection is a major unsolved problem, because challenges exist for identifying genes underlying a complex trait and understanding how multi-locus selection operates in the genome. Here we used artificial selection experiments to study polygenic response to selection. Inbred strains from seven independent long-term selection experiments in mice for extreme bodyweight (“High” lines weigh 77-42g vs. 40-16g in “Controls” lines), were genotyped at 527,572 SNPs to identify genetic variants controlling bodyweight. We identified 67 high-resolution parallel selected regions (PSRs) where multiple High lines share variants rarely found among the Controls. By comparing allele frequencies in one selection experiment against its unselected control, we found classical selective sweep signatures centered on the PSRs. Multiple lines of evidence support two G protein-coupled receptors GPR133 and Prlhr, as positional candidate genes controlling bodyweight. Artificial selection may mimic natural selection in the wild: compared to control loci, we detected reduced heterozygosity in PSRs in wild populations of unusually large mice on islands. Many PSRs overlap loci associated with human height variation, possibly through evolutionary conservation of functional pathways. Our data suggest that parallel selection on complex traits may evoke parallel responses at many genes involved in diverse but relevant pathways. These samples were used to test the enrichment of certain gene functional categories.
2012-06-30 | GSE36409 | GEO
Project description:Understanding how polygenic traits evolve and respond to selection is a major unsolved problem, because challenges exist for identifying genes underlying a complex trait and understanding how multi-locus selection operates in the genome. Here we used artificial selection experiments to study polygenic response to selection. Inbred strains from seven independent long-term selection experiments in mice for extreme bodyweight (“High” lines weigh 77-42g vs. 40-16g in “Controls” lines), were genotyped at 527,572 SNPs to identify genetic variants controlling bodyweight. We identified 67 high-resolution parallel selected regions (PSRs) where multiple High lines share variants rarely found among the Controls. By comparing allele frequencies in one selection experiment against its unselected control, we found classical selective sweep signatures centered on the PSRs. Multiple lines of evidence support two G protein-coupled receptors GPR133 and Prlhr, as positional candidate genes controlling bodyweight. Artificial selection may mimic natural selection in the wild: compared to control loci, we detected reduced heterozygosity in PSRs in wild populations of unusually large mice on islands. Many PSRs overlap loci associated with human height variation, possibly through evolutionary conservation of functional pathways. Our data suggest that parallel selection on complex traits may evoke parallel responses at many genes involved in diverse but relevant pathways. These samples were used to test the enrichment of certain gene functional categories.
2012-06-30 | GSE36443 | GEO
Project description:Drosophila Divergence 20091001
| PRJNA118209 | ENA
Project description:Understanding how polygenic traits evolve and respond to selection is a major unsolved problem, because challenges exist for identifying genes underlying a complex trait and understanding how multi-locus selection operates in the genome. Here we used artificial selection experiments to study polygenic response to selection. Inbred strains from seven independent long-term selection experiments in mice for extreme bodyweight (M-bM-^@M-^\HighM-bM-^@M-^] lines weigh 77-42g vs. 40-16g in M-bM-^@M-^\ControlsM-bM-^@M-^] lines), were genotyped at 527,572 SNPs to identify genetic variants controlling bodyweight. We identified 67 high-resolution parallel selected regions (PSRs) where multiple High lines share variants rarely found among the Controls. By comparing allele frequencies in one selection experiment against its unselected control, we found classical selective sweep signatures centered on the PSRs. Multiple lines of evidence support two G protein-coupled receptors GPR133 and Prlhr, as positional candidate genes controlling bodyweight. Artificial selection may mimic natural selection in the wild: compared to control loci, we detected reduced heterozygosity in PSRs in wild populations of unusually large mice on islands. Many PSRs overlap loci associated with human height variation, possibly through evolutionary conservation of functional pathways. Our data suggest that parallel selection on complex traits may evoke parallel responses at many genes involved in diverse but relevant pathways. These samples were used to test the enrichment of certain gene functional categories. Mouse tissue samples (muscle and liver) were collected from 44 and 45 days old males from each of the nine out of thirteen lines (5 High lines: BEHi, DUHi, EDHi, MUHi, ROHi and 4 Control lines: BELi, EDLi, MULi and ROLi; n=23 total) at the University of Edinburgh. Frozen tissue samples were stored at -80M-BM-:C until use. Tissues were dissociated using TissueLyser II with steel beads (both Qiagen) following manufacturersM-bM-^@M-^Y instructions. mRNA was extracted and purified using TRIzol Reagent and the PureLink RNA Mini Kit (Life Technologies GmbH, Darmstadt, Germany). cDNA was synthesized using Maxima First Strand cDNA synthesis kit (Thermo Fisher Scientific, St. Leon-Rot, Germany). Muscle and liver cDNA samples were hybridized on a Mouse GE 4x44k Microarray (Agilent Technologies, Inc., Waldbronn, Germany) according to manufacturerM-bM-^@M-^Ys recommendations. Three technical replicate each was done on pooled cDNA samples from each mouse line.
2012-06-29 | E-GEOD-36443 | biostudies-arrayexpress
Project description:Although not all sex-dependent gene expression is adaptive, it is likely an important genomic mechanism that allows each sex to independently adapt to environmental changes. Among Drosophila species, sex-biased genes display remarkably consistent evolutionary patterns; male-biased genes evolve faster than unbiased genes in both coding sequence and expression level, suggesting sex-differences in selection through time. However, comparatively little is known of the evolutionary process shaping sex-biased expression within species. Latitudinal clines offer an opportunity to examine how changes in key ecological parameters also influence sex-specific selection and the evolution of sex-biased gene expression. We assayed male and female gene expression in Drosophila serrata along a latitudinal gradient in eastern Australia spanning most of its endemic distribution. Analysis of 11,631 genes across eight populations revealed strong sex differences in the frequency, mode, and strength of divergence. Divergence was far stronger in males than females and while latitudinal clines were evident in both sexes, male divergence was often population-specific, suggesting responses to localized selection pressures that do not covary predictably with latitude. While divergence was enriched for male-biased genes, there was no overrepresentation of X-linked genes in males. By contrast, X-linked divergence was elevated in females, especially for female biased genes. Many genes that diverged in D. serrata have homologs also showing latitudinal divergence in D. simulans and D. melanogaster on other continents, likely indicating parallel adaptation in these distantly related species. Our results suggest that sex differences in selection play an important role in shaping the evolution of gene expression over macro- and micro-ecological spatial scales.
2017-01-04 | GSE90733 | GEO
Project description:The footprint of polygenic adaptation on stress-responsive cis-regulatory divergence in the Arabidopsis genus
| PRJNA318999 | ENA
Project description:Vicariant divergence in Sphagnum warnstorfii
| PRJEB30013 | ENA
Project description:This SuperSeries is composed of the following subset Series: GSE34280: Clonal Selection Drives Genetic Divergence of Metastatic Medulloblastoma [Affymetrix SNP6 Arrays] GSE34355: Clonal Selection Drives Genetic Divergence of Metastatic Medulloblastoma [Illumina Infinium HumanMethylation27 Beadchip v1.2] Refer to individual Series
2011-12-13 | E-GEOD-34356 | biostudies-arrayexpress