2013
Yeast response to LA virus indicates coadapted global gene expression during mycoviral infection
McBride RC, Boucher N, Park DS, Turner PE, Townsend JP. Yeast response to LA virus indicates coadapted global gene expression during mycoviral infection. FEMS Yeast Research 2013, 13: 162-179. PMID: 23122216, DOI: 10.1111/1567-1364.12019.Peer-Reviewed Original ResearchMeSH KeywordsGene Expression Regulation, FungalHelper VirusesHost-Pathogen InteractionsSaccharomyces cerevisiaeTotivirusConceptsGlobal gene expressionGene expressionFungal hostUnusual life historyHost gene expressionAsexual modeAsexual reproductionFungal communitiesYeast responseReproductive successLife historyFungal cellsUbiquitous distributionLA virusFungal growthMycoviral infectionFungiViral infectionHostExpressionFitnessImportant roleDeleterious impactSaccharomycesVirus
2012
Codon Deviation Coefficient: a novel measure for estimating codon usage bias and its statistical significance
Zhang Z, Li J, Cui P, Ding F, Li A, Townsend JP, Yu J. Codon Deviation Coefficient: a novel measure for estimating codon usage bias and its statistical significance. BMC Bioinformatics 2012, 13: 43. PMID: 22435713, PMCID: PMC3368730, DOI: 10.1186/1471-2105-13-43.Peer-Reviewed Original ResearchConceptsCodon usage biasNucleotide compositionUsage biasGenome evolutionGene functionProtein functionCodon usageNatural selectionCodon positionsTranslational efficiencySelective pressureSequence compositionGene expressionSequence analysisSimulated sequencesSequenceGenomeGenesFundamental importanceMutationsInformative estimationExpressionAbundant Gene-by-Environment Interactions in Gene Expression Reaction Norms to Copper within Saccharomyces cerevisiae
Hodgins-Davis A, Adomas AB, Warringer J, Townsend JP. Abundant Gene-by-Environment Interactions in Gene Expression Reaction Norms to Copper within Saccharomyces cerevisiae. Genome Biology And Evolution 2012, 4: 1061-1079. PMID: 23019066, PMCID: PMC3514956, DOI: 10.1093/gbe/evs084.Peer-Reviewed Original ResearchMeSH KeywordsCluster AnalysisCopperDNA-Binding ProteinsDose-Response Relationship, DrugGene Expression ProfilingGene Expression Regulation, FungalGene-Environment InteractionGenes, FungalGenetic VariationMetabolic Networks and PathwaysMicroarray AnalysisNuclear ProteinsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscription FactorsTranscriptomeConceptsPopulation variationReaction normsGene expression reaction normsGene expressionNovel ecological contextsGenome-wide mRNA levelsGenetic backgroundRelevant copper concentrationsAbundance of variationMitotic fitnessSulfur homeostasisPlastic phenotypesDownstream metabolic consequencesPlastic variationMost genesCopper stressPhenotypic variationGene networksAbundant genesGenetic variationCopper gradientExpression variationEcological contextDifferential expressionGenes
2011
SIR2 and other genes are abundantly expressed in long-lived natural segregants for replicative aging of the budding yeast Saccharomyces cerevisiae
Guo Z, Adomas AB, Jackson ED, Qin H, Townsend JP. SIR2 and other genes are abundantly expressed in long-lived natural segregants for replicative aging of the budding yeast Saccharomyces cerevisiae. FEMS Yeast Research 2011, 11: 345-355. PMID: 21306556, DOI: 10.1111/j.1567-1364.2011.00723.x.Peer-Reviewed Original ResearchMeSH KeywordsCell CycleCell ProliferationGene Expression ProfilingGene Expression Regulation, FungalGenes, FungalHSP30 Heat-Shock ProteinsHydrogen PeroxideMicrobial ViabilityMitochondrial Membrane Transport ProteinsMitochondrial Precursor Protein Import Complex ProteinsOligonucleotide Array Sequence AnalysisPhenotypePolymerase Chain ReactionSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSilent Information Regulator Proteins, Saccharomyces cerevisiaeSirtuin 2Up-RegulationConceptsReplicative agingWhole genome gene expressionNatural S. cerevisiaeExpression levelsLife span variationDifferential expression levelsDifferent expression levelsEffects of genesNatural populationsYeast SaccharomycesOrganelle organizationS. cerevisiaeGene expressionNatural variationCell cycleStress responseSir2Mitochondrial functionGenesSaccharomycesAllelic associationSpan variationProgenyMetabolic responseTim17
2010
Multi-targeted priming for genome-wide gene expression assays
Adomas AB, Lopez-Giraldez F, Clark TA, Wang Z, Townsend JP. Multi-targeted priming for genome-wide gene expression assays. BMC Genomics 2010, 11: 477. PMID: 20716356, PMCID: PMC3091673, DOI: 10.1186/1471-2164-11-477.Peer-Reviewed Original ResearchMeSH KeywordsDNA PrimersGene Expression ProfilingGene Expression Regulation, FungalGenes, FungalMetabolic Networks and PathwaysMyceliumNeurospora crassaNitrogenOligonucleotide Array Sequence AnalysisReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionReverse TranscriptionRNA, FungalRNA, MessengerSaccharomyces cerevisiaeSequence Analysis, RNAConceptsGene expressionGene expression assaysNeurospora crassaRibosomal RNAExpression assaysMost protein-coding genesEarly sexual developmentGenome-wide gene expressionTransfer RNA genesProtein-coding genesNitrogen starvation responseGenome of SaccharomycesPreponderance of genesGlobal gene expressionResponse of SaccharomycesCommon sequence motifsSexual developmentDetailed expression profilesReverse transcriptionRNA genesStarvation responseTag sequencingSequence motifsTransfer RNATranscriptomic assays
2009
The filamentous fungal gene expression database (FFGED)
Zhang Z, Townsend JP. The filamentous fungal gene expression database (FFGED). Fungal Genetics And Biology 2009, 47: 199-204. PMID: 20025988, PMCID: PMC2822089, DOI: 10.1016/j.fgb.2009.12.001.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsChromosome MappingComputational BiologyComputer GraphicsDatabase Management SystemsDatabases, GeneticGene ExpressionGene Expression ProfilingGene Expression Regulation, FungalGenes, FungalGenome, FungalInternetModels, GeneticModels, StatisticalOligonucleotide Array Sequence AnalysisSaccharomyces cerevisiaeSequence AlignmentSoftwareSystems IntegrationUser-Computer InterfaceConceptsEfficient web interfaceExpression databaseUser-friendly managementCollection of toolsGene expression databaseDifferent usersData sharingWeb interfaceCollaborative platformExperimental metadataFree databaseRaw dataData submissionUsersMultiple experimentsGene expression dataSharingDatabaseEssential informationAjaxMetadataExpression dataDifferent experimentsRetrievalRelated experiments
2008
Sleuthing the difference a nucleotide can make
Townsend JP. Sleuthing the difference a nucleotide can make. Molecular Ecology 2008, 17: 2793-2795. PMID: 18565029, DOI: 10.1111/j.1365-294x.2008.03824.x.Peer-Reviewed Original ResearchConceptsGene expression polymorphismsExpression polymorphismsGenetic variationGene expressionGenome-wide gene expressionPotential evolutionary impactCis-regulatory regionsAmino acid sensorsDifferential gene expressionSingle nucleotide insertionEcological genomicsEvolutionary impactNatural populationsDifferential fitnessYeast SaccharomycesTranscription factorsGenetic basisNatural isolatesHomonucleotide repeatsNatural variationNucleotide insertionEnvironment interactionPolymorphismAcid sensorsSSY1
2007
Quantifying variation in gene expression
CLARK TA, TOWNSEND JP. Quantifying variation in gene expression. Molecular Ecology 2007, 16: 2613-2616. PMID: 17594433, DOI: 10.1111/j.1365-294x.2007.03354.x.Commentaries, Editorials and Letters
2006
Population structure and gene evolution in Saccharomyces cerevisiae
Aa E, Townsend JP, Adams RI, Nielsen KM, Taylor JW. Population structure and gene evolution in Saccharomyces cerevisiae. FEMS Yeast Research 2006, 6: 702-715. PMID: 16879422, DOI: 10.1111/j.1567-1364.2006.00059.x.Peer-Reviewed Original ResearchMeSH KeywordsCloning, MolecularEvolution, MolecularPhylogenyRecombination, GeneticSaccharomyces cerevisiaeSelection, GeneticConceptsPopulation genetic variationPopulation structureS. cerevisiaeDistinct population structureSaccharomyces sensu strictoSulfur-based fungicidesSulfite exporterGene evolutionGene treesGene SSU1Historical selectionTranscription factorsHigh polymorphismNatural isolatesProtein productsCerevisiaeSequence analysisSSU1Oak forestsGreater polymorphismSensu strictoWine yeastSequence studiesFZF1Expression levelsEcological and evolutionary genomics of Saccharomyces cerevisiae
LANDRY CR, TOWNSEND JP, HARTL DL, CAVALIERI D. Ecological and evolutionary genomics of Saccharomyces cerevisiae. Molecular Ecology 2006, 15: 575-591. PMID: 16499686, DOI: 10.1111/j.1365-294x.2006.02778.x.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsEcologyEvolution, MolecularGene Expression Regulation, FungalGenetics, PopulationGenome, FungalGenomicsSaccharomyces cerevisiaeConceptsEvolutionary genomic studiesPrime model systemImportant genetic variationPowerful model speciesEvolutionary genomicsEvolutionary geneticsEvolutionary forcesFunctional genomicsYeast genomeNumerous habitatsModel speciesGenomic studiesUnicellular fungiGenetic variationBiology questionsS. cerevisiaeNatural isolatesGenetic levelGenomicsSaccharomycesModel systemYeastEukaryotesGenomeHabitats
2003
Population Genetic Variation in Genome-Wide Gene Expression
Townsend JP, Cavalieri D, Hartl DL. Population Genetic Variation in Genome-Wide Gene Expression. Molecular Biology And Evolution 2003, 20: 955-963. PMID: 12716989, DOI: 10.1093/molbev/msg106.Peer-Reviewed Original ResearchConceptsGene expression levelsGene expressionNatural populationsGenetic variationNatural isolatesExpression levelsGenome-wide gene expressionPopulation genetic variationGenome-wide scaleComparative gene expressionDifferential gene expressionDNA microarray technologyAmino acid metabolismWine yeast SaccharomycesSulfur assimilationEvolutionary biologistsGenomic scaleYeast SaccharomycesNatural selectionS. cerevisiaeProtein degradationSuch traitsDifferential reproductionMicroarray technologyOrganic evolution
2002
Pathway Processor: A Tool for Integrating Whole-Genome Expression Results into Metabolic Networks
Grosu P, Townsend JP, Hartl DL, Cavalieri D. Pathway Processor: A Tool for Integrating Whole-Genome Expression Results into Metabolic Networks. Genome Research 2002, 12: 1121-1126. PMID: 12097350, PMCID: PMC186628, DOI: 10.1101/gr.226602.Peer-Reviewed Original Research
2000
Manifold anomalies in gene expression in a vineyard isolate of Saccharomyces cerevisiae revealed by DNA microarray analysis
Cavalieri D, Townsend J, Hartl D. Manifold anomalies in gene expression in a vineyard isolate of Saccharomyces cerevisiae revealed by DNA microarray analysis. Proceedings Of The National Academy Of Sciences Of The United States Of America 2000, 97: 12369-12374. PMID: 11035792, PMCID: PMC17348, DOI: 10.1073/pnas.210395297.Peer-Reviewed Original ResearchMeSH KeywordsAmino AcidsAmmoniaDown-RegulationEnergy MetabolismGene Expression ProfilingGene Expression Regulation, FungalGenome, FungalPhenotypeSaccharomyces cerevisiaeConceptsDNA microarray analysisGene expressionNatural populationsSaccharomyces cerevisiaeMicroarray analysisGenome-wide transcriptional profilingAmino acid permeasesAmino acid biosynthesisSuite of traitsGlobal expression analysisSmooth colony phenotypeExtent of heterozygosityGlobal patternsVineyard isolateGene functionEvolutionary biologyNitrogen assimilationAcid biosynthesisSingle geneTranscriptional profilingUnlinked lociColony phenotypeHomothallic strainsS. cerevisiaeDiploid progeny