Use of Pleiotropy to Model Genetic Interactions in a Population
Ontology highlight
ABSTRACT:
ORGANISM(S): Saccharomyces cerevisiae
PROVIDER: GSE34787 | GEO | 2012/09/01
SECONDARY ACCESSION(S): PRJNA151043
REPOSITORIES: GEO
Similar Datasets
Project description:Microarray data to analyze differential biology underlying pheromone response and overall mating efficiency in a yeast population One or more samples per strain, collected after 3 hr exposure to alpha-factor at 1uM.
2012-09-01 | E-GEOD-34787 | biostudies-arrayexpress
Project description:Haploid budding yeast has two mating types, defined by the alleles of the MAT locus, MATa and MATα. Mating occurs when two haploid cells of opposite mating types signal to each other using reciprocal pheromones and receptors, polarize and grow towards each other, and eventually fuse to form a single diploid cell. The pheromones and receptors are necessary and sufficient to define a mating type, but other mating type-specific proteins make mating more efficient. We examined the role of these proteins by genetically engineering “transvestite” cells that swap the pheromone, pheromone receptor, and pheromone processing factors of one mating type for another. These cells can mate with each other, but their mating is inefficient. By characterizing their mating defects and examining their transcriptomes, we found Afb1 (a-factor barrier), a novel MATα-specific protein that interferes with a-factor, the pheromone secreted by MATa cells. We show that strong pheromone secretion is essential for efficient mating and that the weak mating of transvestites can be improved by boosting their pheromone production. Using synthetic biology, it is possible to characterize the factors that control efficiency in biological processes. In the case of budding yeast mating, selection for increased mating efficiency is likely to have continually boosted pheromone levels and the ability to discriminate between partners who make more (potentially fitter) and less (potentially less fit) pheromones. This sensitivity to which partner makes more pheromone comes at a cost: it means mating is not robust in situations where all potential partners make less pheromone.
2014-01-07 | GSE49372 | GEO
Project description:Haploid budding yeast has two mating types, defined by the alleles of the MAT locus, MATa and MATM-NM-1. Mating occurs when two haploid cells of opposite mating types signal to each other using reciprocal pheromones and receptors, polarize and grow towards each other, and eventually fuse to form a single diploid cell. The pheromones and receptors are necessary and sufficient to define a mating type, but other mating type-specific proteins make mating more efficient. We examined the role of these proteins by genetically engineering M-bM-^@M-^\transvestiteM-bM-^@M-^] cells that swap the pheromone, pheromone receptor, and pheromone processing factors of one mating type for another. These cells can mate with each other, but their mating is inefficient. By characterizing their mating defects and examining their transcriptomes, we found Afb1 (a-factor barrier), a novel MATM-NM-1-specific protein that interferes with a-factor, the pheromone secreted by MATa cells. We show that strong pheromone secretion is essential for efficient mating and that the weak mating of transvestites can be improved by boosting their pheromone production. Using synthetic biology, it is possible to characterize the factors that control efficiency in biological processes. In the case of budding yeast mating, selection for increased mating efficiency is likely to have continually boosted pheromone levels and the ability to discriminate between partners who make more (potentially fitter) and less (potentially less fit) pheromones. This sensitivity to which partner makes more pheromone comes at a cost: it means mating is not robust in situations where all potential partners make less pheromone. 4 conditions were analysed, each with 3 biological replicates. The conditions were unstimulated MATa cells in YPD. Stimulated MATa cells in YPD+10nM M-NM-1-factor. Unstimulated MATM-NM-1 cells in YPD. Stimulated MATM-NM-1 cells in YPD+10nM M-NM-1-factor.
2014-01-07 | E-GEOD-49372 | biostudies-arrayexpress
Project description:Systems-level genetic studies in humans and model systems increasingly involve both high-resolution genotyping and multi-dimensional quantitative phenotyping. We present a novel method to infer and interpret genetic interactions that exploits the complementary information in multiple phenotypes. We applied this approach to a population of yeast strains with randomly assorted perturbations of five genes involved in mating. We quantified pheromone response at the molecular level and overall mating efficiency. These phenotypes were jointly analyzed to derive a network of genetic interactions that mapped mating-pathway relationships. To determine the distinct biological processes driving the phenotypic complementarity, we analyzed patterns of gene expression to find that the pheromone response phenotype is specific to cellular fusion, whereas mating efficiency was a combined measure of cellular fusion, cell cycle arrest, and modifications in cellular metabolism. We applied our novel method to global gene expression patterns to derive an expression-specific interaction network and demonstrate applicability to global transcript data. Our approach provides a basis for interpretation of genetic interactions and the generation of specific hypotheses from populations assayed for multiple phenotypes.
| S-EPMC3469415 | biostudies-literature
Project description:Transcriptome changes associated with mating interactions were performed in order to identify signaling components and targets of pheromone response. Two monokaryons (S. commune 12-43 and 4-39), a dikaryon (W22 x 12-43), both semi-compatible mating interactions (Aon: W22 x 4-39; Bon, flat: W21 x 4-39), and different S. commune pheromone receptor recipient strains (Vbar2f, Vbar2t) were analyzed for that purpose. In addition, a S. commune strain showing the thin-phenotype (W22-thin) was investigated to figure out the role of Thn1 in mating.
2012-06-15 | GSE26401 | GEO
Project description:Gene expression in G1 stage of Yeast strain BY4741 treated with alpha -factor mating pheromone to investigate nucleosome plasticity
2014-03-01 | E-MTAB-2195 | biostudies-arrayexpress
Project description:Fission yeast cells undergo sexual differentiation in response to nitrogen starvation. In this process haploid M and P cells first mate to form diploid zygotes, which subsequently enter meiosis and sporulate. Prior to mating, M cells secrete M-factor and P-cells secrete P-factor, and these diffusible mating pheromone can activate a signal transduction pathway in the opposite cell type. The pheromone response orchestrates mating and is also required for entry into meiosis. Here we use DNA microarrays to identify genes that are induced by M-factor in P cells and by P-factor in M-cells. The use of a cyr1 genetic background allowed us to study pheromone stimulation independently of nitrogen starvation. We identified a total of 163 genes that were consistently induced more than two-fold by pheromone stimulation. As expected, there was a substantial overlap between the genes induced by M- and P-factor. Surprisingly, we found that pheromone control extended to genes fulfilling their function well beyond the point of entry into meiosis, including numerous genes required for meiotic recombination. A direct comparison of the M- and P-factor induced expression pattern allowed us to identify cell-type specific transcripts, including three new M-specific genes and one new P-specific gene. Finally, our results support the notion that Ste11 is the key transcription factor activated by pheromone signalling. Keywords: dose response Gene expression profiling experiment in which gene expression in pheromone treated cultures was compared to that of untreated control cells. All cultures were growing exponentially in MSL minimal medium. S. pombe h+ cyr1- cells treated with M-factor mating pheromone for 2, 4 and 6 hrs respectively, were compared to non-treated cells. Similarly, S. pombe h- sax2- cyr1- cells treated with P-factor mating pheromone for 2, 4 and 6 hrs, were compared to non-treated cells. For identiofication of cell-type specific gene expression, h+ cyr1- cells were compaired to h+ sxa2- cyr1- cells. This was done both before pheromone treatment (0h/0h) and after 6 hours of pheromone treatment (6h/6h). RNA was extracted and subjected to cDNA expression profiling analysis using the established protocols (Xue et al, Yeast 21, 25-39, 2004).Data normalized with 'Lowess' per chip per spot normalization.
2007-08-21 | E-GEOD-5323 | biostudies-arrayexpress
Project description:Transcriptome changes associated with mating interactions were performed in order to identify signaling components and targets of pheromone response. Two monokaryons (S. commune 12-43 and 4-39), a dikaryon (W22 x 12-43), both semi-compatible mating interactions (Aon: W22 x 4-39; Bon, flat: W21 x 4-39), and different S. commune pheromone receptor recipient strains (Vbar2f, Vbar2t) were analyzed for that purpose. In addition, a S. commune strain showing the thin-phenotype (W22-thin) was investigated to figure out the role of Thn1 in mating. With microarray analysis mRNA expression in different mating interactions of the basidiomycete S. commune was analyzed. Genes which show regulation in the comparison of the two monokaryons 12-43 and 4-39 has been eliminated from other comparisons as strain specific differences. Two biological or technical replicate samples were analyzed for each condition.
2012-06-14 | E-GEOD-26401 | biostudies-arrayexpress
Project description:In many organisms, meiotic chromosomes are bundled at their telomeres to form a bouquet arrangement. The bouquet formation plays an important role in homologous chromosome pairing and therefore progression of meiosis. As meiotic telomere clustering occurs in response to mating pheromone signaling in fission yeast, we looked for factors essential for bouquet formation among genes induced under mating pheromone signaling. This genome-wide search identified two novel proteins, Bqt1 and Bqt2, that connect telomeres to the spindle-pole body (SPB; the centrosome equivalent in fungi). Neither Bqt1 nor Bqt2 alone functions as a connector, but together the two proteins form a bridge between Rap1 (a telomere protein) and Sad1 (an SPB protein). Significantly, when both Bqt1 and Bqt2 are ectopically expressed in mitotic cells, they also form a bridge between Rap1 and Sad1. Thus, a complex including Bqt1 and Bqt2 is essential for connecting telomeres to the SPB. Keywords: Keywards: Time course, Nitrogen starvation, Mating pheromone, P-factor.
2006-04-20 | GSE3515 | GEO
Project description:Fission yeast cells undergo sexual differentiation in response to nitrogen starvation. In this process haploid M and P cells first mate to form diploid zygotes, which subsequently enter meiosis and sporulate. Prior to mating, M cells secrete M-factor and P-cells secrete P-factor, and these diffusible mating pheromone can activate a signal transduction pathway in the opposite cell type. The pheromone response orchestrates mating and is also required for entry into meiosis. Here we use DNA microarrays to identify genes that are induced by M-factor in P cells and by P-factor in M-cells. The use of a cyr1 genetic background allowed us to study pheromone stimulation independently of nitrogen starvation. We identified a total of 163 genes that were consistently induced more than two-fold by pheromone stimulation. As expected, there was a substantial overlap between the genes induced by M- and P-factor. Surprisingly, we found that pheromone control extended to genes fulfilling their function well beyond the point of entry into meiosis, including numerous genes required for meiotic recombination. A direct comparison of the M- and P-factor induced expression pattern allowed us to identify cell-type specific transcripts, including three new M-specific genes and one new P-specific gene. Finally, our results support the notion that Ste11 is the key transcription factor activated by pheromone signalling. Keywords: dose response
2007-08-22 | GSE5323 | GEO