Project description:Natural genetic variation is the raw material of evolution and influences disease development and progression. To analyze the effect of the genetic background on protein expression in the nematode C. elegans (Caenorhabditis elegans), the two genetically highly divergent wild-type strains N2 (Bristol) and CB4856 (Hawaii) were compared quantitatively. In total, we quantified 3,238 unique proteins in three independent SILAC (stable isotope labeling by amino acids in cell culture) experiments. The differentially expressed proteins were enriched for genes that function in insulin-signaling and stress response pathways.
Project description:Complex traits, including common disease-related traits, are affected by many different genes that function in multiple pathways and networks. The apoptosis, MAPK, Notch and Wnt signalling pathways play important roles in development and disease progression. At the moment we have a poor understanding of how allelic variation affects gene expression in these pathways at the level of translation. Here we report the effect of natural genetic variation on transcript and protein abundance involved in developmental signalling pathways in Caenorhabditis elegans. We used selected reaction monitoring to analyse proteins from the abovementioned four pathways in a set of recombinant inbred lines (RILs) generated from the wild-type strains Bristol N2 and Hawaii CB4856 to enable quantitative trait loci (QTL) mapping. Variation in gene expression was greater in the RILs than in the parental lines, at the proteome as well as at the transcriptome levels. We detected a trans-QTL on the left arm of chromosome II that affected protein abundance of the phosphatidylserine receptor protein PSR-1, and two separate QTLs that influenced embryonic and ionizing radiation-induced apoptosis on chromosome IV. Our results demonstrate that natural variation in C. elegans is sufficient to cause significant changes in signalling pathways both at the gene expression (transcript and protein abundance) and phenotypic levels.
Project description:Complex traits, including common disease-related traits, are affected by many different genes that function in multiple pathways and networks. The apoptosis, MAPK, Notch and Wnt signalling pathways play important roles in development and disease progression. At the moment we have a poor understanding of how allelic variation affects gene expression in these pathways at the level of translation. Here we report the effect of natural genetic variation on transcript and protein abundance involved in developmental signalling pathways in Caenorhabditis elegans. We used selected reaction monitoring to analyse proteins from the abovementioned four pathways in a set of recombinant inbred lines (RILs) generated from the wild-type strains Bristol N2 and Hawaii CB4856 to enable quantitative trait loci (QTL) mapping. Variation in gene expression was greater in the RILs than in the parental lines, at the proteome as well as at the transcriptome levels. We detected a trans-QTL on the left arm of chromosome II that affected protein abundance of the phosphatidylserine receptor protein PSR-1, and two separate QTLs that influenced embryonic and ionizing radiation-induced apoptosis on chromosome IV. Our results demonstrate that natural variation in C. elegans is sufficient to cause significant changes in signalling pathways both at the gene expression (transcript and protein abundance) and phenotypic levels. Parental genotypes N2 (3x) and CB4856 (3x) and 47 RILs from (Li etal 2006; Vinuela etal 2010 and Elvin etal 2011)
Project description:This set of arrays contains all microarray experiments done involving comparisons among C. elegans natural isolates and mutation-accumulation lines. Abstract: The evolutionary importance of gene-expression divergence is unclear: some studies suggest that it is an important mechanism for evolution by natural selection, whereas others claim that most between-species regulatory changes are neutral or nearly neutral. We examined global transcriptional divergence patterns in a set of Caenorhabditis elegans mutation-accumulation lines and natural isolate lines to provide insights into the evolutionary importance of transcriptional variation and to discriminate between the forces of mutation and natural selection in shaping the evolution of gene expression. We detected the effects of selection on transcriptional divergence patterns and characterized them with respect to coexpressed gene sets, chromosomal clustering of expression changes and functional gene categories. We directly compared observed transcriptional variation patterns in the mutation-accumulation and natural isolate lines to a neutral model of transcriptome evolution to show that strong stabilizing selection dominates the evolution of transcriptional change for thousands of C. elegans expressed sequences. An all pairs experiment design type is where all labeled extracts are compared to every other labeled extract. Keywords: all_pairs