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947 results for “S. cerevisiae”
Genome sequences for 2031 Saccharomyces cerevisiae genome assemblies
<p>Genome sequences for 2031 Saccharomyces cerevisiae genome assemblies</p>
Detailed information for 2032 Saccharomyces cerevisiae genome assemblies
<p>Detailed information for 2032 Saccharomyces cerevisiae genome assemblies</p>
Gene sequences for 2031 Saccharomyces cerevisiae genome assemblies
<p>Gene sequences for 2031 Saccharomyces cerevisiae genome assemblies</p>
Gene coordinates for 2031 Saccharomyces cerevisiae genome assemblies
<p>Gene coordinates for 2031 Saccharomyces cerevisiae genome assemblies</p>
Protein sequences for 2031 Saccharomyces cerevisiae genome assemblies
<p>Protein sequences for 2031 Saccharomyces cerevisiae genome assemblies</p>
Predicted protein functions for 2031 Saccharomyces cerevisiae genome assemblies
<p>Predicted protein functions for 2031 Saccharomyces cerevisiae genome assemblies</p>
Effect of Saccharomyces Cerevisiae on the Symptoms of Irritable Bowel Syndrome
ClinicalTrials.gov study NCT01613456. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effect of Saccharomyces Cerevisiae on the Improvement of Gastro-intestinal Disorders Associated to IBS With C Phenotype
ClinicalTrials.gov study NCT03150212. IPD Sharing: NO. Countries: 1. Publications: 1.
Antioxidant and Immunomodulatory Effect of a β-glucan Fiber From Saccharomyces Cerevisiae
ClinicalTrials.gov study NCT05097313. IPD Sharing: NO. Countries: 1. Publications: 7.
An Open Label Phase I Study to Eval the Safety and Tolerability of a Vaccine (GI-6207) Consisting of Whole, Heat-killed Recombinant Saccharomyces Cerevisiae (Yeast) Genetically Modified to Express CEA
ClinicalTrials.gov study NCT00924092. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Variation at an adhesin locus suggests sociality in natural populations of the yeast Saccharomyces cerevisiae
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Data from: Prezygotic isolation between Saccharomyces cerevisiae and Saccharomyces paradoxus through differences in mating speed and germination timing
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Increased time sampling in an evolve-and-resequence experiment with outcrossing Saccharomyces cerevisiae reveals multiple paths of adaptive change
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Photo-activatable Ub-PCNA probes reveal new structural features of the S. cerevisiae Polη/PCNA complex
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Data from: QTL mapping of volatile compound production in Saccharomyces cerevisiae during alcoholic fermentation
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Heat shock improves random spore analysis in diverse strains of Saccharomyces cerevisiae
<p>Random spore analysis (RSA) is a classic method in yeast genetics that allows high-throughput purification of recombinant haploid spores following specific crosses. RSA typically involves a number of steps to induce sporulation, purge vegetative cells that fail to sporulate, and disrupt the ascus walls of sporulated cells to release haploid spores. These steps generally require expensive chemicals and/or enzymes that kill diploid cells but have few effects on spores. In the fission yeast <em>Schizosaccharomcyes pombe</em>, heat shock has been reported as an effective addition to RSA protocols, but to our knowledge heat shock not been used for this purpose in the budding yeast <em>Saccharomyces cerevisiae</em>. Here, we evaluate the effects of heat shock on vegetative and sporulated cultures of four diverse yeast strains: a European wine strain (DBVPG6765), a Japanese sake strain (Y12), a West African palm wine strain (DBVPG6044) and a North American strain isolated from the soil beneath an oak tree (YPS128). We characterize this phenotype under multiple combinations of temperature and incubation time, and find specific conditions that lead to the exclusion of vegetative cells and an enrichment in spores, which differ by strain. We also collected genome sequence data from a recombinant population that experienced multiple rounds of RSA, including one round with a heat shock treatment. These data suggest that when incorporated into an RSA protocol, heat shock leads to increased genetic diversity among the cells that survive and mate. Ultimately, our work provides evidence that short heat treatments can improve existing RSA protocols, though in a strain-specific manner. This result informs applications of high-throughput RSA protocols, such as QTL mapping and experimental evolution research.</p>
Data from: Genome dynamics of hybrid Saccharomyces cerevisiae during vegetative and meiotic divisions
Mutation and recombination are the major sources of genetic diversity in all organisms. In the baker's yeast, all mutation rate estimates are in homozygous background. We determined the extent of genetic change through mutation and loss of heterozygosity (LOH) in a heterozygous Saccharomyces cerevisiae genome during successive vegetative and meiotic divisions. We measured genome wide LOH and base mutation rates during vegetative and meiotic divisions in a hybrid (S288c/YJM789) S. cerevisiae strain. The S288c/YJM789 hybrid showed nearly complete reduction in heterozygosity within 31 generations of meioses and improved spore viability. LOH in the meiotic lines was driven primarily by the mating of spores within the tetrad. The S288c/YJM789 hybrid lines propagated vegetatively for the same duration as the meiotic lines, showed variable LOH (from 2-3% and up to 35%). Two of the vegetative lines with extensive LOH, showed frequent and large internal LOH tracts that suggest a high frequency of recombination repair. These results suggest significant LOH can occur in the S288c/YJM789 hybrid during vegetative propagation presumably due to return to growth events. The average base substitution rates for the vegetative lines (1.82 x 10-10 per base per division) and the meiotic lines (1.22 x 10-10 per base per division), are the first genome wide mutation rate estimates for a hybrid yeast. This study therefore provides a novel context for the analysis of mutation rates (especially in the context of detecting LOH during vegetative divisions), compared to previous mutation accumulation studies in yeast that used homozygous backgrounds.
Data from: The cost of copy number in a selfish genetic element: the 2µM plasmid of Saccharomyces cerevisiae
Many autonomously replicating genetic elements exist as multiple copies within the cell. The copy number of these elements is often assumed to have important fitness consequences for both element and host, yet the forces shaping its evolution are not well understood. The 2µm is a multi-copy plasmid of Saccharomyces yeasts, encoding just four genes that are solely involved in plasmid replication. One simple model for the fitness relationship between yeasts and 2µm is that plasmid copy number evolves as a tradeoff between selection for increased vertical transmission, favoring high copy number, and selection for decreased virulence, favoring low copy number. To test this model, we experimentally manipulated the copy number of the plasmid and directly measured the fitness cost, in terms of growth rate reduction, associated with high plasmid copy number. We find that the fitness burden imposed by the 2µm increases with plasmid copy number, such that each copy imposes a fitness burden of 0.17% (±0.008%), greatly exceeding the cost expected for it to be stably maintained in yeast populations. Our results demonstrate the crucial importance of copy number in the evolution of yeast/2µm associations, and pave the way for future studies examining how selection can shape the cost of multi-copy elements.
Data from: Genetic mapping of MAPK-mediated complex traits across S. cerevisiae
Signaling pathways enable cells to sense and respond to their environment. Many cellular signaling strategies are conserved from fungi to humans, yet their activity and phenotypic consequences can vary extensively among individuals within a species. A systematic assessment of the impact of naturally occurring genetic variation on signaling pathways remains to be conducted. In S. cerevisiae, both response and resistance to stressors that activate signaling pathways differ between diverse isolates. Here, we present a quantitative trait locus (QTL) mapping approach that enables us to identify genetic variants underlying such phenotypic differences across the genetic and phenotypic diversity of S. cerevisiae. Using a Round-robin cross between twelve diverse strains, we identified QTL that influence phenotypes critically dependent on MAPK signaling cascades. Genetic variants under these QTL fall within MAPK signaling networks themselves as well as other interconnected signaling pathways. Finally, we demonstrate how the mapping results from multiple strain background can be leveraged to narrow the search space of causal genetic variants.
Data from: A unique ecological niche fosters hybridization of oak-tree and vineyard isolates of Saccharomyces cerevisiae.
Differential adaptation to distinct niches can restrict gene flow and promote population differentiation within a species. However, in some cases the distinction between niches can collapse, forming a hybrid niche with features of both environments. We previously reported that distinctions between vineyards and oak soil present an ecological barrier that restricts gene flow between lineages of Saccharomyces cerevisiae. Vineyard isolates are tolerant to stresses associated with grapes while North American oak strains are particularly tolerant to freeze-thaw cycles. Here, we report the isolation of Saccharomyces cerevisiae strains from Wisconsin cherry trees, which display features common to vineyards (e.g. high sugar concentrations) and frequent freeze-thaw cycles. Genome sequencing revealed that the isolated strains are highly heterozygous and represent recent hybrids of the oak x vineyard lineages. We found that the hybrid strains are phenotypically similar to vineyard strains for some traits, but are more similar to oak strains for other traits. The cherry strains were exceptionally good at growing in cherry juice, raising the possibility that they have adapted to this niche. We performed transcriptome profiling in cherry, oak, and vineyard strains and show that the cherry-tree hybrids display vineyard-like or oak-like expression, depending on the gene sets, and in some cases the expression patterns linked back to shared stress tolerances. Allele-specific expression in these natural hybrids suggested concerted cis-regulatory evolution at sets of functionally regulated genes. Our results raise the possibility that hybridization of the two lineages provides a genetic solution to the thriving in this unique niche.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.