Saccharomyces cerevisiae
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ABSTRACT:
PROVIDER: PRJNA105377 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:BY4742 Quiescent and Non-quiescent replicates
| PRJNA105371 | ENA
Project description:This SuperSeries is composed of the following subset Series: GSE8542: BY4742 Quiescent and Non-quiescent replicates GSE8558: Proteinase K treatment of Q and NQ cells GSE8559: S288c Quiescent and Non-quiescent replicates GSE8560: Mutant1 GSE8561: Mutant2 Refer to individual Series
2010-05-29 | E-GEOD-8624 | biostudies-arrayexpress
Project description:Effect of FLO8 or MSS11 deletion and -overexpression on yeast transcript profiles compared to wild type in laboratory yeast strains Σ1278b and S288c.
2011-09-21 | GSE17716 | GEO
Project description:The aim of this project was to evaluate the ploidy of a S. cerevisiae *S. kudriavzevii hybrid in comparison to the lab strain S288C. Other wine yeast have been icluded in the project for the global analysis.
2012-02-09 | GSE31703 | GEO
Project description:The needs for rapid and efficient microbial cell factory design and construction are possible through the enabling technology, metabolic engineering, which is now being facilitated by systems biology approaches. Metabolic engineering is often complimented by directed evolution, where selective pressure is applied to a partially genetically engineered strain to confer a desirable phenotype. The exact genetic modification or resulting genotype that leads to the improved phenotype is often not identified or understood to enable further metabolic engineering. In this work we establish proof-of-concept that whole genome high-throughput sequencing and annotation can be used to identify single nucleotide polymorphisms (SNPs) between Saccharomyces cerevisiae strains S288c and CEN.PK113-7D. The yeast strain S288c was the first eukaryote sequenced, serving as the reference genome for the Saccharomyces Genome Database, while CEN.PK113-7D is a preferred laboratory strain for industrial biotechnology research. A total of 13,787 high-quality SNPs were detected between both strains (reference strain: S288c). Considering only metabolic genes (782 of 5,873 annotated genes), a total of 219 metabolism specific SNPs are distributed across 158 metabolic genes, with 85 of the SNPs being non-silent (e.g., encoding amino acid modifications). Amongst metabolic SNPs detected, there was pathway enrichment in the galactose uptake pathway (GAL1, GAL10) and ergosterol biosynthetic pathway (ERG8, ERG9). Physiological characterization confirmed a strong deficiency in galactose uptake and metabolism in S288c compared to CEN.PK113-7D, and similarly, ergosterol content in CEN.PK113-7D was significantly higher in both glucose and galactose supplemented cultivations compared to S288c. Furthermore, DNA microarray profiling of S288c and CEN.PK113-7D in both glucose and galactose batch cultures did not provide a clear hypothesis for major phenotypes observed, suggesting that genotype to phenotype correlations are manifested post-transcriptionally or post-translationally either through protein concentration and/or function. With an intensifying need for microbial cell factories that produce a wide array of target compounds, whole genome high-throughput sequencing and annotation for SNP detection can aid in better reducing and defining the metabolic landscape. This work demonstrates direct correlations between genotype and phenotype that provides clear and high-probability of success metabolic engineering targets. The genome sequence, annotation, and a SNP viewer of CEN.PK113-7D are deposited at www.sysbio.se/cenpk. Keywords: Two strains and two different carbon sources
2010-12-22 | GSE21479 | GEO
Project description:Comparative Genomic Hybridization between S. cerevisaie strains JAY270 and S288c.
| PRJNA111721 | ENA
Project description:Saccharomyces cerevisiae S288C Epigenomics
| PRJNA176624 | ENA
Project description:To determine the genomic location of a gene that permits xylose utilization we conducted bulk segregant analysis (BSA) using Affymetrix yeast tiling arrays. BSA works by taking advantage of DNA sequence polymorphisms between different strains and the fact that it is relatively easy to pool large numbers of meiotic spore products (segregants) in yeast. Pooling segregants based on their phenotype allows the region of the genome responsible for the phenotype to be detected. This is because DNA polymorphisms in regions unlinked to the locus causing the phenotype will segregate randomly and be “evened” out, while around the genomic region of interest, sequences or polymorphisms responsible for the trait will be present in all positive segregants, and absent in all negative segregants. In our case, a Simi White wine strain (S. cerevisiae) carrying the locus responsible for xylose utilization was crossed to a laboratory strain of Saccharomyces cerevisiae; this strain was estimated to carry DNA polymorphisms relative to the laboratory strain at a level of approximately .5%. Spores from the Simi White / S288c diploid were screened for the xylose utilization phenotype and 39 positive spores were combined into one pool and 39 negative spores into another pool, and genomic DNA (gDNA) was isolated from each pool. We then hybridized the positive and negative gDNA pools to tiling microarrays that were based on the S288c reference genome with the expectation that regions of the genome derived from Simi White will hybridize less robustly to the array because of the DNA polymorphisms between Simi White and S288c. Log2 ratios of probe intensities were calculated (negative/positive), and a peak appeared in the chromosome XV right subtelomeric region that corresponds to less robust hybridization to the microarray of the positive pool gDNA coming from this region of the genome
2010-04-09 | GSE19120 | GEO
Project description:Saccharomyces cerevisiae S288c Genome sequencing
| PRJNA262175 | ENA
Project description:Saccharomyces cerevisiae S288c Genome sequencing
| PRJNA264640 | ENA