Search results for "yeast"

showing 10 items of 792 documents

Cloning and characterization of the peroxisomal acyl CoA oxidaseACO3 gene from the alkane-utilizing yeastYarrowia lipolytica

1998

The ACO3 gene, which encodes one of the acyl-CoA oxidase isoenzymes, was isolated from the alkane-utilizing yeast Yarrowia lipolytica as a 10 kb genomic fragment. It was sequenced and found to encode a 701-amino acid protein very similar to other ACOs, 67.5% identical to Y. lipolytica Aco1p and about 40% identical to S. cerevisiae Pox1p. Haploid strains with a disrupted allele were able to grow on fatty acids. The levels of acyl-CoA oxidase activity in the ACO3 deleted strain, in an ACO1 deleted strain and in the wild-type strain, suggested that ACO3 encodes a short chain acyl-CoA oxidase isoenzyme. This narrow substrate spectrum was confirmed by expression of Aco3p in E. coli.

CloningOxidase testStrain (chemistry)BioengineeringYarrowiaBiologybiology.organism_classificationApplied Microbiology and BiotechnologyBiochemistryMolecular biologyYeastBiochemistryGene expressionGeneticsAcyl-CoA oxidaseGeneBiotechnologyYeast
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Ecology of yeasts associated with kernels of several durum wheat genotypes and their role in co-culture with Saccharomyces cerevisiae during dough le…

2021

International audience; This work was performed to investigate on the yeast ecology of durum wheat to evaluate the interaction between kernel yeasts and the commercial baker's yeast Saccharomyces cerevisiae during dough leavening. Yeast populations were studied in 39 genotypes of durum wheat cultivated in Sicily. The highest level of kernel yeasts was 2.9 Log CFU/g. A total of 413 isolates was collected and subjected to phenotypic and genotypic characterization. Twenty-three yeast species belonging to 11 genera have been identified. Filobasidium oeirense, Sporobolomyces roseus and Aureobasidium pullulans were the species most commonly found in durum wheat kernels. Doughs were co-inoculated …

Co-fermentationFood Handling[SDV]Life Sciences [q-bio]Saccharomyces cerevisiaeFlourNon-saccharomycesDough leaveningTriticum turgidum subsp. durumSaccharomyces cerevisiaeCandida parapsilosisMicrobiology03 medical and health sciencesStarterWheat kernelYeastsHumansTriticum030304 developmental biologyLeavening agent2. Zero hunger0303 health sciencesWheat kernelsbiology030306 microbiologyEcologyfood and beveragesBreadbiology.organism_classificationYeastCoculture TechniquesAureobasidium pullulansCo-fermentationTasteFermentationSeedsFermentationNon-saccharomyceFood Science
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Comprehensive analysis of forty yeast microarray datasets reveals a novel subset of genes (APha-RiB) consistently negatively associated with ribosome…

2014

Background The scale and complexity of genomic data lend themselves to analysis using sophisticated mathematical techniques to yield information that can generate new hypotheses and so guide further experimental investigations. An ensemble clustering method has the ability to perform consensus clustering over the same set of genes from different microarray datasets by combining results from different clustering methods into a single consensus result. Results In this paper we have performed comprehensive analysis of forty yeast microarray datasets. One recently described Bi-CoPaM method can analyse expressions of the same set of genes from various microarray datasets while using different cl…

Co-regulation(Binarisation of consensus partition matrices) Bi-CoPaMGene Expression ProfilingStress responseGenes FungalCo-expressionGenome-wide analysisGene Expression Regulation FungalRibosome biogenesisSaccharomycetalesCluster AnalysisGene Regulatory NetworksBudding yeastRibosomesOligonucleotide Array Sequence AnalysisResearch ArticleBMC bioinformatics
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Comprehensive analysis of forty yeast microarray datasets reveals a novel subset of genes (APha-RiB) consistently negatively associated with ribosome…

2014

This article has been made available through the Brunel Open Access Publishing Fund. Background: The scale and complexity of genomic data lend themselves to analysis using sophisticated mathematical techniques to yield information that can generate new hypotheses and so guide further experimental investigations. An ensemble clustering method has the ability to perform consensus clustering over the same set of genes from different microarray datasets by combining results from different clustering methods into a single consensus result. Results: In this paper we have performed comprehensive analysis of forty yeast microarray datasets. One recently described Bi-CoPaM method can analyse express…

Co-regulationGenome-wide analysisRibosome biogenesisStress responseBi-CoPaMBudding yeastBiochemistryMolecular BiologyCo-expressionComputer Science Applications
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Increasing the levels of 2-phenylethyl acetate in wine through the use of a mixed culture of Hanseniaspora osmophila and Saccharomyces cerevisiae

2009

The impact of mixed cultures of Hanseniaspora osmophila and Saccharomyces cerevisiae with different initial yeast ratios on wine composition has been examined. The mixed culture significantly affected sugar consumption, the main enological parameters and ester concentrations, with the exception of glycerol, isoamyl acetate and diethyl succinate levels. Remarkably, in wines obtained with mixed cultures the concentration of 2-phenylethyl acetate was approximately 3- to 9-fold greater than that produced by S. cerevisiae pure culture. Moreover sensory evaluation revealed a stronger fruity character in wines fermented with mixed cultures than in control wines. Independently of the mixed culture …

Colony Count MicrobialEthyl acetateIsoamyl acetateWineSaccharomyces cerevisiaeAcetatesBiologyMicrobiologyHanseniasporaIndustrial MicrobiologyAcetic acidchemistry.chemical_compoundSpecies SpecificityGlycerolHumansFood scienceWinemakingWinedigestive oral and skin physiologyfood and beveragesGeneral MedicineConsumer BehaviorPhenylethyl AlcoholCoculture TechniquesYeastchemistryTasteFermentationFood MicrobiologyFermentationFood ScienceInternational Journal of Food Microbiology
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A multi-phase multi-objective genome-scale model shows diverse redox balance strategies in yeasts

2021

Yeasts constitute over 1500 species with great potential for biotechnology. Still, the yeastSaccharomyces cerevisiaedominates industrial applications and many alternative physiological capabilities of lesser-known yeasts are not being fully exploited. While comparative genomics receives substantial attention, little is known about yeasts’ metabolic specificity in batch cultures. Here we propose a multi-phase multi-objective dynamic genome-scale model of yeast batch cultures that describes the uptake of carbon and nitrogen sources and the production of primary and secondary metabolites. The model integrates a specific metabolic reconstruction, based on the consensus Yeast8, and a kinetic mod…

Comparative genomicsFermentation in winemakingbiologyMulti phaseSaccharomyces cerevisiaeGenome scaleBiochemical engineeringbiology.organism_classificationRedoxYeastFlux balance analysis
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A multi-phase multi-objective dynamic genome-scale model shows different redox balancing among yeast species in fermentation

2021

ABSTRACTYeasts constitute over 1500 species with great potential for biotechnology. Still, the yeastSaccharomyces cerevisiaedominates industrial applications and many alternative physiological capabilities of lesser-known yeasts are not being fully exploited. While comparative genomics receives substantial attention, little is known about yeasts’ metabolic specificity in batch cultures. Here we propose a multi-phase multi-objective dynamic genome-scale model of yeast batch cultures that describes the uptake of carbon and nitrogen sources and the production of primary and secondary metabolites. The model integrates a specific metabolic reconstruction, based on the consensus Yeast8, and a kin…

Comparative genomicsbiologyChemistrySaccharomyces cerevisiaeGenome scaleFermentationBiochemical engineeringbiology.organism_classificationSaccharomycesRedoxYeastFlux balance analysis
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An evolutionary restricted neighborhood search clustering approach for PPI networks

2014

Protein-protein interaction networks have been broadly studied in the last few years, in order to understand the behavior of proteins inside the cell. Proteins interacting with each other often share common biological functions or they participate in the same biological process. Thus, discovering protein complexes made of a group of proteins strictly related can be useful to predict protein functions. Clustering techniques have been widely employed to detect significant biological complexes. In this paper, we integrate one of the most popular network clustering techniques, namely the Restricted Neighborhood Search Clustering (RNSC), with evolutionary computation. The two cost functions intr…

Computer sciencebusiness.industryCognitive NeuroscienceNeighborhood searchComputational biologyPPI networks clusteringGenetic algorithmsMachine learningcomputer.software_genreBudding yeastEvolutionary computationComputer Science ApplicationsOrder (biology)Artificial IntelligenceGenetic algorithmArtificial intelligenceEvolutionary approachesbusinessCluster analysiscomputerProtein-protein interaction networks clustering
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Nutraceuticals and functional foods for the control of plasma cholesterol levels. An intersociety position paper

2018

Current evidence shows that cholesterol management either reduces the likelihood of cardiovascular disease (CVD) or slows down its progression. Hence, it is important that all health professionals make appropriate use of all the available intervention strategies to control risk factors: from dietary improvement and positive lifestyle changes to the use of functional foods, food supplements, and drugs. This review examines the effect of the most frequently occurring cholesterol-lowering substances in functional foods or in supplements across Europe, namely plant sterols and stanols, monacolin K found in red yeast rice, berberine and beta-glucans. We conclude that currently available suppleme…

ConsensusFunctional foodsClinical Decision-MakingFood supplementDisease030204 cardiovascular system & hematologyLDL03 medical and health scienceschemistry.chemical_compound0302 clinical medicineNutraceuticalPlasma cholesterolRisk FactorsEnvironmental healthFood supplementsRed yeast riceMedicineAnimalsHumans030212 general & internal medicineCardiovascular risk; Cholesterol; Food supplements; Functional foods; LDL cholesterol; Primary prevention; Animals; Biomarkers; Cardiovascular Diseases; Cholesterol LDL; Clinical Decision-Making; Consensus; Dyslipidemias; Evidence-Based Medicine; Humans; Protective Factors; Risk Factors; Diet Healthy; Dietary Supplements; Functional Food; Risk Reduction BehaviorDyslipidemiasPharmacologyLdl cholesterolHealthyEvidence-Based MedicinePrimary preventionCholesterolbusiness.industryFunctional foodFood supplementation functional foods cholesterol LDL-cholesterol cardiovascular risk primary preventionCholesterol LDLProtective FactorsCardiovascular riskDietCardiovascular risk; Cholesterol; Food supplements; Functional foods; LDL cholesterol; Primary prevention; PharmacologyYoung ageCholesterolchemistryCardiovascular DiseasesDietary SupplementsLDL cholesterolPosition paperDiet HealthybusinessRisk Reduction BehaviorBiomarkers
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Estimation of recombinant protein production in Pichia pastoris base don a constraint-based model

2012

[EN] A previously validated constraint based model and possibilistic MFA have been used to design a simple estimator of protein production rate in Pichia pastoris cultures. A structured model of the yeast P. pastoris metabolism is used to predict the balance of key energetic equivalents such as ATP from available measurements, mainly substrate consumption, gases exchange rates and biomass specific growth. It has been shown that ATP flux can be related to biomass growth and protein productivity specific rates by linear regression. Cross-validation has been applied for robust parameter fitting on the basis of chemostat, steady-state experimental conditions. In this way, protein estimation can…

Constraint-based modelbiologyUncertaintyfood and beveragesEstimatorBiomassProtein productivity predictionChemostatPossibilistic metabolic flux analysisBioinformaticsbiology.organism_classificationIndustrial and Manufacturing EngineeringYeastINGENIERIA DE SISTEMAS Y AUTOMATICAComputer Science ApplicationsPichia pastorisConstraint (information theory)Pichia pastorisControl and Systems EngineeringModeling and SimulationLinear regressionBiological systemFlux (metabolism)Mathematics
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