Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

17 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Molecular Analysis of the Genes Involved in Aroma Synthesis in the Species S. cerevisiae, S. kudriavzevii and S. bayanus var. uvarum in Winemaking

ABSTRACT: This research work investigates the hybridization of the genes of Saccharomyces bayanus var. uvarum CECT 12600 and S. kudriavzevii IFO1802 employing S. cerevisiae microarrays. Two strains,one S. kudriavzevii and one S. bayanus var. uvarum were employed for the study. The S. cerevisiae strain S288C was used as control for microarray hybridizations. All experiments were performed using duplicate arrays, and Cy5-dCTP and Cy3-dCTP dye-swap assays were performed to reduce dye-specific bias.

ORGANISM(S): Saccharomyces uvarum

SUBMITTER: Amparo Gamero

PROVIDER: E-GEOD-52446 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

Molecular analysis of the genes involved in aroma synthesis in the species S. cerevisiae, S. kudriavzevii and S. bayanus var. uvarum in winemaking conditions.

Gamero Amparo A Belloch Carmela C Ibáñez Clara C Querol Amparo A

PloS one 20140522 5

The Saccharomyces genus is the main yeast involved in wine fermentations to play a crucial role in the production and release of aromatic compounds. Despite the several studies done into the genome-wide expression analysis using DNA microarray technology in wine S. cerevisiae strains, this is the first to investigate other species of the Saccharomyces genus. This research work investigates the expression of the genes involved in flavor compound production in three different Saccharomyces species ...[more]

PMID: 24854353

Similar Datasets

Molecular Analysis of the Genes Involved in Aroma Synthesis in the Species S. cerevisiae, S. kudriavzevii and S. bayanus var. uvarum in Winemaking

Project description:This research work investigates the hybridization of the genes of Saccharomyces bayanus var. uvarum CECT 12600 and S. kudriavzevii IFO1802 employing S. cerevisiae microarrays.

2014-06-23 | GSE52446 | GEO

Molecular Analysis of the Genes Involved in Aroma Synthesis in the Species S. cerevisiae, S. kudriavzevii and S. bayanus var. uvarum in Winemaking

Project description:This research work investigates the expression of the genes involved in flavor compound production in three different Saccharomyces species (S. cerevisiae, S. bayanus var. uvarum and S. kudriavzevii) under low (12°C) and moderate fermentation temperatures (28°C).

2014-06-23 | GSE30778 | GEO

Comparative genomic hybridization in traditional fermentative Saccharomyces cerevisiae yeasts

Project description:We study the genetics, including microarray karyotyping using comparative genomic hybridization, to explore global changes in the genomic DNA of seven S. cerevisiae strains related to traditional fermentations of very different sources comparing to the sequenced S. cerevisiae laboratory strain (S288C). Our final goal is to determine the adaptive evolution of properties of biotechnological interest in Saccharomyces yeasts. Many copy number variations (CNVs) were observed, especially in genes associated to subtelomeric regions and transposon elements. Among the fermentation strains, differential CNV was observed in genes related to sugar transport and metabolism. An outstanding example of diverse CNV is the gen PUT1, involved in proline assimilation, which correlated with the adaptation of the strains to the presence of this nitrogen source in the media. Seven S. cerevisiae strains were obtained from natural environments and different fermentation processes. The S. cerevisiae strain S288C was used as a control for microarray hybridizations. All experiments were performed using duplicate arrays, and Cy5-dCTP and Cy3-dCTP dye-swap assays were performed to reduce dye-specific bias.

2013-12-15 | E-GEOD-46165 | biostudies-arrayexpress

A New System for Comparative Functional Genomics of Saccharomyces Yeasts

Project description:Whole genome sequencing, particularly in fungi, has progressed at a tremendous rate. More difficult, however, is experimental testing of the inferences about gene function that can be drawn from comparative sequence analysis alone. We present a genome-wide functional characterization of a sequenced but experimentally understudied budding yeast, Saccharomyces bayanus var uvarum (henceforth referred to as S. bayanus), allowing us to map changes over the 20 million years that separate this organism from S. cerevisiae. We first created a suite of genetic tools to facilitate work in S. bayanus. Next, we measured the gene expression response of S. bayanus to a diverse set of perturbations optimized using a computational approach to cover a diverse array of functionally relevant biological responses. The resulting dataset reveals that gene expression patterns are largely conserved, but significant changes may exist in regulatory networks such as carbohydrate utilization and meiosis. In addition to regulatory changes, our approach identified gene functions that have diverged. The functions of genes in core pathways are highly conserved, but we observed many changes in which genes are involved in osmotic stress, peroxisome biogenesis, and autophagy. A surprising number of genes specific to S. bayanus respond to oxidative stress, suggesting the organism may have evolved under different selection pressures than S. cerevisiae. This work expands the scope of genome-scale evolutionary studies from sequence-based analysis to rapid experimental characterization and could be adopted for functional mapping in any lineage of interest. Furthermore, our detailed characterization of S. bayanus provides a valuable resource for comparative functional genomics studies in yeast.

2013-07-12 | GSE47613 | GEO

Proteotoxicity caused by perturbed protein complexes underlies hybrid incompatibility

Project description:Dobzhansky-Muller incompatibilities represent a major driver of reproductive isolation between species. They are caused when two or more interacting components encoded by alleles from different species cannot function properly when mixed. At incipient stages of speciation, complex incompatibilities involving multiple genetic loci with weak effects are frequently observed, but the underlying mechanisms remain elusive. We observed perturbed proteostasis leading to compromised mitosis and meiosis in Saccharomyces cerevisiae hybrid lines carrying one or two chromosomes from Saccharomyces bayanus var uvarum. Levels of proteotoxicity are correlated with the number of protein complexes on replaced chromosomes and can be alleviated or aggravated, respectively, by up- or down-regulating the ubiquitin-proteasomal degradation machinery. Using proteomic approaches, we detect destabilized multi-protein complexes in a hybrid line. However, hybrid fitness can be significantly improved by rescuing small ribosomal subunits, a primary destabilized complex. Our findings reveal the general role of impaired protein complex assembly in complex incompatibilities.

2022-07-05 | PXD028358 | Pride

Comparative Genomic Hybridization in traditional fermentative Saccharomyces cerevisiae yeasts

Project description:We study the genetics, including microarray karyotyping using comparative genomic hybridization to explore global changes in the genomic DNA, of four S. bayanus var uvarum strains related to traditional fermentations of very different sources comparing to the sequenced S. cerevisiae laboratory strain (S288C). Our final goal is to determine the adaptive evolution of properties of biotechnological interest in Saccharomyces yeasts. Many copy number variations (CNV) were observed, especially in genes associated to subtelomeric regions and transposon elements. Among the fermentation strains, differential CNV was observed in genes related to sugar transport and metabolism. An outstanding example of diverse CNV is the gen PUT1, involved in proline assimilation, which correlated with the adaptation of the strains to the presence of this nitrogen source in the media.

2016-04-15 | GSE67917 | GEO

Detection of S. cerevisiae fragments in the genome of S. bayanus strains with aCGH on Yeast_2 Affymetrix array.

Project description:The aim of this project was to detect S. cerevisiae fragments in the genome of S. bayanus Type strain CBS380 and pure line NBRC1948 (=IFO1948). The hybridization signal is compared to S. uvarum BBS7001 whose genome has been sequenced and in which no S. cerevisiae sequence has been detected.

2011-06-30 | GSE28225 | GEO

Identification of multiple transferrin species in spleen from mice with collagen-induced arthritis which may reflect changes in transferrin glycosylation associated with the disease activity. Role of CD38

Project description:Collagen type II-induced arthritis (CIA) is an autoimmune disease that is accompanied by a complex host systemic response, which includes inflammatory and autoimmune reactions. Since to develop CIA is required the injection of antigen in complete Freund’s adjuvant (CFA), which is a water-in-mineral-oil emulsion containing killed Mycobacteria, systemic response proteins related with inflammation can confound the detection or diagnosis of arthritis. CIA in CD38 deficient mice (CD38 KO) is milder than that in C57BL/6 (B6 WT) mice. Protein extracts from spleen were subjected to 2D-DiGE and MS-MALDI-TOF/TOF analysis to identify proteins that were differentially expressed in CD38 KO and B6 WT mice with arthritis, with inflammation, or non-immunized. Differential protein expression was validated by ELISA, or Western-blotting.

2015-12-10 | PXD002644 | Pride

Distinct Serum Proteome Profiles Associated with Collageninduced Arthritis, and Complete Freund’s Adjuvant-induced Inflammation in CD38-/- mice: the Discriminative Power of Protein Species or Proteoforms

Project description:Collagen-type-II-induced arthritis (CIA) is an autoimmune disease, which involves a complex host systemic response including inflammatory and autoimmune reactions. CIA in C57BL/6 mice resembles human rheumatoid arthritis (RA) in terms of its disease course, histological findings, and in its response to commonly used anti-arthritic drugs. In this study, the goal has been to identify proteins from serum that change in their abundance in CD38-KO versus WT mice which may reflect their distinct response to an antigen-challenge that induces the development of an autoimmune disease. CIA is milder in CD38-/- than in Wild-type (WT) mice. We analyzed the sera from CD38-/- versus WT mice either with arthritis (CIA+), with no arthritis (CIA-), or with inflammation (Complete Freund’s adjuvant (CFA)-treated mice). To decrease the dynamic concentration range of serum a combinatorial ligand library composed of hexapeptides was used (called ProteoMiner). ProteoMiner-equalized serum samples were then subjected to 2D-DiGE and MS-MALDI-TOF/TOF analyses to identify proteins that changed in their relative abundances. Multivariate analyses revealed that a multi-protein signature (n = 28) was able to discriminate CIA+ from CIA- mice, and WT from CD38-/- mice within each condition. Likewise, a distinct multi-protein signature (n = 16) was identified which differentiated CIA+ CD38-/- mice from CIA+ WT mice, and lastly, a third multi-protein signature (n = 18) indicated that CD38-/- and WT mice could be segregated in response to CFA treatment This approach allows the identification of multiple protein species, or proteoforms of a given protein in a single analysis, and therefore, to focus the interest in fully characterize just the protein species that differ in abundance.

2015-07-17 | PXD001788 | Pride

2015-12-10 | PXD002643 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data