Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

EQTL linkages in wine yeasts to decipher regulatory networks in wine fermentation

ABSTRACT: We performed here the transcriptomic profile of 44 segregants from a cross between S288c and 59A (a spore of EC1118 strain). The analysis was performed in wine fermentation condition in stationary phase during nitrogen starvation and in alcoholic stress. These data, associated with an individual genotyping by Affymetrix array allow us to highlight genetic variations involved in perturbation of regulatory network and fermentative behavior. 56 transcriptomic profiles were performed with Agilent mono-color array. 6 hybridizations were performed for each parental strains: 3 technical replicates for 2 biological replicated samples (59As1 and 59As5; S288Cs1 and S288Cs5). One hybridization was performed for each of the 44 segregants. Using mono-color array, the logarithm base 2 of intensity was directly used after normalization.

ORGANISM(S): Saccharomyces cerevisiae

SUBMITTER: Bruno Blondin

PROVIDER: E-GEOD-41025 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Impact of PDR8 allelic variation on yeast transcriptome profile in wine fermentation condition.

Project description:An eQTL analysis show that mutations in PDR8 gene in 59A strain versus S288c could trigger expressions variations of QDR2. In order to confirm this result and highlight other gene expression variations associated to PDR8 allelic variation, we performed an allele switch of PDR8 in 59A background (59A PDR8-S288c) and compared the transcriptomic profile of this strain to 59A. The analysis was performed in wine alcoholic fermentation conditions in stationary phase during nitrogen starvation and in alcoholic stress. PDR8 allelic variation: 9 non synonymous SNP (S288c->59A) 9(K->T), 17(S->L), 79(P->S), 198(G->D), 263(H->R), 267(T->S), 371(L->F), 550(A->G), 601(I->V). 6 transcriptomic profiles were performed with Agilent mono-color array: 3 hybridizations were performed for each strain corresponding to 3 biological replicated samples. Using mono-color array, the intensity was used after normalization to calculate logarithm base 2 of expression ratios.

2013-10-21 | E-GEOD-41738 | biostudies-arrayexpress

eQTL linkages in wine yeasts to decipher regulatory networks in wine fermentation

Project description:We performed here the transcriptomic profile of 44 segregants from a cross between S288c and 59A (a spore of EC1118 strain). The analysis was performed in wine fermentation condition in stationary phase during nitrogen starvation and in alcoholic stress. These data, associated with an individual genotyping by Affymetrix array allow us to highlight genetic variations involved in perturbation of regulatory network and fermentative behavior.

2013-10-21 | GSE41025 | GEO

A combined genetic and genomic approach uncovers molecular basis of wine yeast fermentation traits

Project description:Industrial wine yeast strains possess specific abilities to ferment under stressing conditions and give a suitable aromatic outcome. Although the fermentations properties of Saccharomyces cervisiae wine yeasts are well documented little is known on the genetic basis underlying the fermentation traits. Besides, although strain differences in gene expression has been reported, their relationships with gene expression variations and fermentation phenotypic variations is unknown. To both identify the genetic basis of fermentation traits and get insight on their relationships with gene expression variations, we combined fermentation traits QTL mapping and expression profiling in a segregating population from a cross between a wine yeast derivative and a laboratory strain. 40 samples are analysed with 2 technical replicates, using a unique reference named pool of the 30 segregants. The transcriptome of each segregant is compared to the transcriptome of the pool. The transcriptome of 5 biologic replicates of each parental strain is also compared to this reference. An haploid derivative of the commercialized wine yeast EC1118 which sequence is available (Novo et al. 2009. PNAS, 106:16333-16338) called 59A was used as industrial wine yeast. It is a prototroph strain and has a MATa sexual type. The haploid laboratory strain S288C (MATa) was used for crossing.

2011-01-19 | E-GEOD-26437 | biostudies-arrayexpress

Comparative transcriptome analysis between an original and a recombinant wine yeast strain defective for KNR4/SMI1

Project description:EKD-13 is among the recently developed mannoprotein overproducing strains. It is a recombinant derivative of the well known EC1118 commercial strain, in which the ORF of all the alleles of KNR4/SMI1 was replaced by different integration cassettes. Lack of Knr4p resulted in a negligible impairment in fermentation kinetics and a net reduction in bentonite requirements to attain complete protein stabilization of white wines made out of natural grape must. In order to improve the technological characterization of this strain, and to better understand the mechanisms underlying mannoprotein oversecretion, we have analyzed kinetics of mannoprotein release and autolysis during fermentation and aging, and we have performed a genome wide expression analysis in two different steps of the fermentation process. The results give some additional clues on KNR4 function in S. cerevisiae as well as on the best application conditions for this recombinant strain. A comparative transcriptome analysis between the S. cerevisiae recombinant strain (EKD-13) defective for KNR4/SMI1 and the wild-type strain (EC1118) was implemented. At every step of the fermentation (mid-exponential growth phase of fermentation advancement as 10 g of released CO2 and stationary-growth phase as 70 g of CO2 released) a recombinant and a WT yeast samples are put on a slide. There are three biological replicates that are labeled in dye-switch way (sometimes called biological dye-swap) for each step of fermentation leading to 3 independent intensity values for each gene (spots) on the microarrays. This experimental design minimizes the intrinsic biological noise between identical culture conditions and the technical variations inherent to the DNA microarray technology. In summary, there are six samples, each corresponding to comparisons between independent fermentations of both strains.

2011-02-28 | E-GEOD-26965 | biostudies-arrayexpress

Comparative transcriptomic analysis of an evolved and an ancestral wine yeast strains presenting differences in the bioconversion of higher alcohols to acetate esters

Project description:An evolved strain (ECA5) presented two successive yields of bioconversion of higher alcohols to acetate esters, while its parental strain (EC1118) had a constant yield through the fermentation. Transcriptomic analysis was performed during wine fermentation in SM330 containing 8mg/L phytosterols, at 35 g/l and at 70 g/l of CO2 released. For ECA5, this corresponds to a sample before and one after the change of bioconversion yield. This analysis helped us to understand the different management of lipid source by the evolved strain, which is probably linked to a greater availability in acetyl-CoA. Two strains (EC1118 and ECA5) were compared during wine fermentation at 2 released CO2 time point (35g/L and 70g/L). Each condition is in triplicat.

2016-06-29 | E-GEOD-68354 | biostudies-arrayexpress

Regulation involved in difference in nitrogen requirements of Saccharomyces cerevisiae wine yeasts in alcoholic fermentation

Project description:The objective of this work is to identify, in enological condition, differences in transcriptomic regulation that may explain the differences in strains fermentation properties. For this, we compared the global expression patterns of 8 Saccharomyces cerevisiae strains with different nitrogen requirement (L2868, 4CAR1, Fermiflor, Zymasil, MTF1782, 7013, K1M, EC1118). The transcriptome was analyzed on cells fermenting in a nitrogen limited medium containing 100mg.l-1 assimilable nitrogen (SM100) and harvested at stationary phase (45g/L of CO2 produced and corresponding to 6% ethanol). At this stage the strains exhibited differences in fermentation rates. Moreover, the transcriptome was shown to be rather stable at this stage since growth was stopped for all cells and nutrients have been depleted (Rossignol et al. 2003). Eight strains with different nitrogen requirement were analyzed (L2868, 4CAR1, Fermiflor, Zymasil, MTF1782, 7013, K1M, EC1118). This analysis includes two biological replicates for each strain.

2013-12-31 | E-GEOD-50626 | biostudies-arrayexpress

Impact of nutrient unbalances on wine alcoholic fermentation: nitrogen excess enhances yeast cell death in lipid-limited must

Project description:In this work we evaluated the impact of nutritional unbalances, as lipids/nitrogen unbalances, on wine yeast survival during alcoholic fermentation. We showed that lipids limitations (actually ergosterol limitation) lead to a rapid loss of viability during the stationary phase of fermentation but that cell death rate is strongly modulated by the amount of nitrogen sources. Yeast survival is reduced when an excess of nitrogen is available in lipid-limited fermentations. Such rapid dying yeast cells fermenting with high nitrogen level and lipids-limited amounts displayed a low storage of carbohydrate trehalose and glycogen compared to nitrogen limited cells. Consistently, examination of the cells stress response using an HSP12 promoter-driven GFP expression showed that lipids limitation triggered a weaker stress response than nitrogen limitation. We examined the involvement of nitrogen signalling pathway in the triggering of cell death using a sch9-deleted strain. We showed that deletion of SCH9 restored a high yeast viability indicating that the signaling pathway acting through Sch9p is involved in the enhanced cell death triggered by nitrogen excess. In addition we showed that various nitrogen sources provoked cell death but that histidine and proline did not trigger a similar effect. As a whole our data indicate that lipids limitation does not elicit a transcriptional program leading to a stress response which protects yeast cells and that nitrogen excess triggers cell death through a modulation of this stress response, but not by HSP12. These results point a potential negative role of nitrogen in fermentation which has until now never been described and taken into account in the management of alcoholic fermentations. 2 conditions with 2 biological replicates compared: 59A and 59A-Sch9

2013-03-31 | E-GEOD-42027 | biostudies-arrayexpress

cDNA microarray of hepatocellular carcinoma and nontumor liver tissues

Project description:In order to identify the deregulated genes in hepatocellular carcinama, we applied the Agilent two-color chip cDNA microarray to explore the expression of genes in hepatocellular carcinoma and nontumor liver tissue samples. Hepatocellular carcinoma tissues and nontumor liver tissues were obtained from hepatocellular carcinoma patients during surgery. In these samples, RNA was extracted and cDNA microarray was performed to identify the differentially expressed genes in these samples. Hepatocellular carcinoma tissues and nontumor liver tissues were obtained from hepatocellular carcinoma patients during surgery. We included four hepatocellular carcinoma patients in this study, and there are four nontumor tissues and four hepatocellular carcinoma tissues.

2011-12-23 | E-GEOD-34674 | biostudies-arrayexpress

Transcriptomic analysis of the metabolic impact of higher oligopeptide assimilation mediated by horizontally acquired oligopeptide transporters Fot1/2 in wine strains.

Project description:To assess the impact of a higher oligopeptide assimilation mediated by Fot1/2, oligopeptides transporters acquired by HGT on wine yeast cell metabolism in winemaking conditions,we carried out a comparison of transcriptomic profiles of the wine wild type strain 59A and the deletion mutant of FOT1/2 genes during exponential growth. Two strains (59A and 59A FOT-deleted) at 2 released CO2 time point (5g/L and 10g/L) are analyzed. Each condition are in quadriplicate.

2016-01-19 | E-GEOD-62446 | biostudies-arrayexpress

Gene Expression Profiling of Oral Squamous Cell Carcinoma

Project description:Gene Expression Profiling of Oral Squamous Cell Carcinoma (OSCC) was performed to delineate candidate genes clusters with potential to distinguish normal and tumor tissue from oral cavity. All tissue samples were collected after obtaining written informed consent. The RNA profile of 27 OSCC patients was compared with 4 independent controls and 1 pooled control oral cavity tissue from healthy donors. Agilent one-color experiment, Organism: Human, Agilent-014850 Whole Human Genome Microarray 4x44K G4112F

2011-10-29 | E-GEOD-23558 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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