2023
Evidence for an ancient aquatic origin of the RNA viral order Articulavirales
Petrone M, Parry R, Mifsud J, Van Brussel K, Voorhees I, Richards Z, Holmes E. Evidence for an ancient aquatic origin of the RNA viral order Articulavirales. Proceedings Of The National Academy Of Sciences Of The United States Of America 2023, 120: e2310529120. PMID: 37906647, PMCID: PMC10636315, DOI: 10.1073/pnas.2310529120.Peer-Reviewed Original ResearchConceptsEvolutionary historyAquatic-terrestrial transitionsDeep phylogenetic historiesVirus-host codivergenceMajor evolutionary transitionsLong-term evolutionary processesTotal RNA sequencingClose phylogenetic relationshipTranscriptome data miningPhylogenetic diversityEvolutionary transitionsPhylogenetic historyPhylogenetic relationshipsInfluenza virus lineagesPhylum CnidariaDivergent familiesPutative familiesRNA sequencingAquatic animalsEvolutionary processesNew hostAquatic originDisease-causing virusesEmergence of virusesVirus lineages
2022
Phylogenetic analysis of migration, differentiation, and class switching in B cells
Hoehn KB, Pybus OG, Kleinstein SH. Phylogenetic analysis of migration, differentiation, and class switching in B cells. PLOS Computational Biology 2022, 18: e1009885. PMID: 35468128, PMCID: PMC9037912, DOI: 10.1371/journal.pcbi.1009885.Peer-Reviewed Original ResearchA new lineage of Galapagos giant tortoises identified from museum samples
Jensen E, Quinzin M, Miller J, Russello M, Garrick R, Edwards D, Glaberman S, Chiari Y, Poulakakis N, Tapia W, Gibbs J, Caccone A. A new lineage of Galapagos giant tortoises identified from museum samples. Heredity 2022, 128: 261-270. PMID: 35217806, PMCID: PMC8987048, DOI: 10.1038/s41437-022-00510-8.Peer-Reviewed Original ResearchConceptsGalapagos giant tortoisesMitochondrial control regionGiant tortoisesSingle nucleotide polymorphismsControl regionMuseum samplesGenome-wide single nucleotide polymorphismsDivergent mitochondrial lineagesSingle mitochondrial haplotypeContemporary populationsIconic radiationMitochondrial lineagesAdditional lineagesMitochondrial haplotypesNuclear markersSan CristóbalSecond lineageMicrosatellite lociNew lineagePinta IslandSame cladeEvolutionary processesLineagesGalapagos ArchipelagoEarly evolution
2021
Premetastatic shifts of endogenous and exogenous mutational processes support consolidative therapy in EGFR-driven lung adenocarcinoma
Fisk JN, Mahal AR, Dornburg A, Gaffney SG, Aneja S, Contessa JN, Rimm D, Yu JB, Townsend JP. Premetastatic shifts of endogenous and exogenous mutational processes support consolidative therapy in EGFR-driven lung adenocarcinoma. Cancer Letters 2021, 526: 346-351. PMID: 34780851, PMCID: PMC8702484, DOI: 10.1016/j.canlet.2021.11.011.Peer-Reviewed Original ResearchConceptsMutational processesSingle ancestral lineageAncestral lineageProgression of cancerMetastatic lineagesPhylogenetic analysisGenetic resistanceEvolutionary processesExogenous mutational processesCancer evolutionConsolidative therapyMutational signature analysisEGFR-positive non-small cell lung cancerNon-small cell lung cancerKey eventsLineagesCell populationsTherapeutic resistanceLocal consolidative therapyClinical time courseCell lung cancerDisease etiologyTherapeutic decision makingCisplatin therapyLung cancerAn open dataset of Plasmodium falciparum genome variation in 7,000 worldwide samples
MalariaGEN, Ahouidi A, Ali M, Almagro-Garcia J, Amambua-Ngwa A, Amaratunga C, Amato R, Amenga-Etego L, Andagalu B, Anderson TJC, Andrianaranjaka V, Apinjoh T, Ariani C, Ashley EA, Auburn S, Awandare G, Ba H, Baraka V, Barry AE, Bejon P, Bertin GI, Boni MF, Borrmann S, Bousema T, Branch O, Bull PC, Busby GBJ, Chookajorn T, Chotivanich K, Claessens A, Conway D, Craig A, D'Alessandro U, Dama S, Day NP, Denis B, Diakite M, Djimdé A, Dolecek C, Dondorp AM, Drakeley C, Drury E, Duffy P, Echeverry DF, Egwang TG, Erko B, Fairhurst RM, Faiz A, Fanello CA, Fukuda MM, Gamboa D, Ghansah A, Golassa L, Goncalves S, Hamilton WL, Harrison GLA, Hart L, Henrichs C, Hien TT, Hill CA, Hodgson A, Hubbart C, Imwong M, Ishengoma DS, Jackson SA, Jacob CG, Jeffery B, Jeffreys AE, Johnson KJ, Jyothi D, Kamaliddin C, Kamau E, Kekre M, Kluczynski K, Kochakarn T, Konaté A, Kwiatkowski DP, Kyaw MP, Lim P, Lon C, Loua KM, Maïga-Ascofaré O, Malangone C, Manske M, Marfurt J, Marsh K, Mayxay M, Miles A, Miotto O, Mobegi V, Mokuolu OA, Montgomery J, Mueller I, Newton PN, Nguyen T, Nguyen TN, Noedl H, Nosten F, Noviyanti R, Nzila A, Ochola-Oyier LI, Ocholla H, Oduro A, Omedo I, Onyamboko MA, Ouedraogo JB, Oyebola K, Pearson RD, Peshu N, Phyo AP, Plowe CV, Price RN, Pukrittayakamee S, Randrianarivelojosia M, Rayner JC, Ringwald P, Rockett KA, Rowlands K, Ruiz L, Saunders D, Shayo A, Siba P, Simpson VJ, Stalker J, Su XZ, Sutherland C, Takala-Harrison S, Tavul L, Thathy V, Tshefu A, Verra F, Vinetz J, Wellems TE, Wendler J, White NJ, Wright I, Yavo W, Ye H. An open dataset of Plasmodium falciparum genome variation in 7,000 worldwide samples. Wellcome Open Research 2021, 6: 42. PMID: 33824913, PMCID: PMC8008441, DOI: 10.12688/wellcomeopenres.16168.2.Peer-Reviewed Original ResearchSingle nucleotide polymorphismsStrong geographic differentiationGenome variation dataHigh-quality genotypesGeographic differentiationGenome variationGenetic evidenceShort indelsEvolutionary processesStructural variantsMosquito stagesNumber variantsData-sharing networksNucleotide polymorphismsVariation dataWorldwide sampleAnalysis pipelineGenomic epidemiologyMarker of resistanceDrug resistanceSurveillance toolkitIndelsGenesLociVariantsAn open dataset of Plasmodium falciparum genome variation in 7,000 worldwide samples
Ahouidi A, Ali M, Almagro-Garcia J, Amambua-Ngwa A, Amaratunga C, Amato R, Amenga-Etego L, Andagalu B, Anderson T, Andrianaranjaka V, Apinjoh T, Ariani C, Ashley E, Auburn S, Awandare G, Ba H, Baraka V, Barry A, Bejon P, Bertin G, Boni M, Borrmann S, Bousema T, Branch O, Bull P, Busby G, Chookajorn T, Chotivanich K, Claessens A, Conway D, Craig A, D'Alessandro U, Dama S, Day N, Denis B, Diakite M, Djimdé A, Dolecek C, Dondorp A, Drakeley C, Drury E, Duffy P, Echeverry D, Egwang T, Erko B, Fairhurst R, Faiz A, Fanello C, Fukuda M, Gamboa D, Ghansah A, Golassa L, Goncalves S, Hamilton W, Harrison G, Hart L, Henrichs C, Hien T, Hill C, Hodgson A, Hubbart C, Imwong M, Ishengoma D, Jackson S, Jacob C, Jeffery B, Jeffreys A, Johnson K, Jyothi D, Kamaliddin C, Kamau E, Kekre M, Kluczynski K, Kochakarn T, Konaté A, Kwiatkowski D, Kyaw M, Lim P, Lon C, Loua K, Maïga-Ascofaré O, Malangone C, Manske M, Marfurt J, Marsh K, Mayxay M, Miles A, Miotto O, Mobegi V, Mokuolu O, Montgomery J, Mueller I, Newton P, Nguyen T, Nguyen T, Noedl H, Nosten F, Noviyanti R, Nzila A, Ochola-Oyier L, Ocholla H, Oduro A, Omedo I, Onyamboko M, Ouedraogo J, Oyebola K, Pearson R, Peshu N, Phyo A, Plowe C, Price R, Pukrittayakamee S, Randrianarivelojosia M, Rayner J, Ringwald P, Rockett K, Rowlands K, Ruiz L, Saunders D, Shayo A, Siba P, Simpson V, Stalker J, Su X, Sutherland C, Takala-Harrison S, Tavul L, Thathy V, Tshefu A, Verra F, Vinetz J, Wellems T, Wendler J, White N, Wright I, Yavo W, Ye H. An open dataset of Plasmodium falciparum genome variation in 7,000 worldwide samples. Wellcome Open Research 2021, 6: 42. DOI: 10.12688/wellcomeopenres.16168.1.Peer-Reviewed Original ResearchSingle nucleotide polymorphismsStrong geographic differentiationGenome variation dataHigh-quality genotypesGeographic differentiationGenome variationGenetic evidenceShort indelsEvolutionary processesStructural variantsMosquito stagesNumber variantsData-sharing networksNucleotide polymorphismsVariation dataWorldwide sampleAnalysis pipelineGenomic epidemiologyMarker of resistanceDrug resistanceSurveillance toolkitIndelsGenesLociVariants
2020
Cyclic and multilevel causation in evolutionary processes
Warrell J, Gerstein M. Cyclic and multilevel causation in evolutionary processes. Biology & Philosophy 2020, 35: 50. DOI: 10.1007/s10539-020-09753-3.Peer-Reviewed Original ResearchEvolutionary processesComplex trait analysisModel of evolutionMultilevel selectionIndirect selectionTrait analysisEvolutionary variablesObserved traitsMultiple levelsMutation processCancer geneticsFitness modelFitnessMultilevel causal modelEnvironmental sourcesPrice equationObserved variationPotential relevanceGeneticsBiologyTraitsSelectionEvolution
2019
Restoration‐mediated secondary contact leads to introgression of alewife ecotypes separated by a colonial‐era dam
Reid K, Garza J, Gephard S, Caccone A, Post D, Palkovacs E. Restoration‐mediated secondary contact leads to introgression of alewife ecotypes separated by a colonial‐era dam. Evolutionary Applications 2019, 13: 652-664. PMID: 32211058, PMCID: PMC7086056, DOI: 10.1111/eva.12890.Peer-Reviewed Original ResearchSecondary contactAnadromous alewifeDirection of introgressionAbundance of juvenilesAdult anadromous alewivesLandlocked populationsDifferent habitatsAnadromous fishAlewife populationDifferent ecotypesParentage assignmentFin clipsEvolutionary processesIntrogressionEcotypesGenetic markersNatural ecosystemsReal ecosystemsReintroduction projectsF1 hybridsJuvenile productionAlewifeAdult alewivesSample of juvenilesRestoration projectsMolecular Biology and Evolution of Cancer: From Discovery to Action
Somarelli JA, Gardner H, Cannataro VL, Gunady EF, Boddy AM, Johnson NA, Fisk J, Gaffney SG, Chuang JH, Li S, Ciccarelli FD, Panchenko AR, Megquier K, Kumar S, Dornburg A, DeGregori J, Townsend JP. Molecular Biology and Evolution of Cancer: From Discovery to Action. Molecular Biology And Evolution 2019, 37: 320-326. PMID: 31642480, PMCID: PMC6993850, DOI: 10.1093/molbev/msz242.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsEvolutionary processesMolecular evolutionary processesEvolution of cancerCancer cell populationsEcological nichesNew therapeutic modesCancer evolutionEcological theoryMolecular biologyCancer biologyCancer progressionSuite of conceptsCell populationsBiologyNicheEvolutionCirculatory systemDeeper understandingDiscoveryCancerProcessive Recoding and Metazoan Evolution of Selenoprotein P: Up to 132 UGAs in Molluscs
Baclaocos J, Santesmasses D, Mariotti M, Bierła K, Vetick MB, Lynch S, McAllen R, Mackrill JJ, Loughran G, Guigó R, Szpunar J, Copeland PR, Gladyshev VN, Atkins JF. Processive Recoding and Metazoan Evolution of Selenoprotein P: Up to 132 UGAs in Molluscs. Journal Of Molecular Biology 2019, 431: 4381-4407. PMID: 31442478, PMCID: PMC6885538, DOI: 10.1016/j.jmb.2019.08.007.Peer-Reviewed Original ResearchConceptsSELENOP geneEvolution of selenoproteinsPacific oyster Magallana gigasC-terminal domainN-terminal domainOyster Magallana gigasGene evolutionRibosome profilingMammalian counterpartsRibosome progressionMagallana gigasCertain insectsDynamic evolutionary processInitiation codonSECIS elementsGenetic elementsRNA structureCommon spiderEvolutionary processesSelenoprotein expressionSELENOP mRNAUGAAquatic organismsBivalve molluscsSelenocysteine
2018
Effect Sizes of Somatic Mutations in Cancer
Cannataro VL, Gaffney SG, Townsend JP. Effect Sizes of Somatic Mutations in Cancer. Journal Of The National Cancer Institute 2018, 110: 1171-1177. PMID: 30365005, PMCID: PMC6235682, DOI: 10.1093/jnci/djy168.Peer-Reviewed Original ResearchConceptsSelection intensityRecurrent single nucleotide variantsCancer cell lineagesSomatic variantsSingle nucleotide variantsSequence surveysSomatic tissuesReproductive advantageCancer genomesDevelopment of cancerCell lineagesSelective advantageEvolutionary processesDriver genesNucleotide variantsCancer biologyGenetic alterationsSomatic mutationsCancer cellsRelative importanceCancer growthGenesMutationsCancer typesVariants
2017
Widespread signatures of positive selection in common risk alleles associated to autism spectrum disorder
Polimanti R, Gelernter J. Widespread signatures of positive selection in common risk alleles associated to autism spectrum disorder. PLOS Genetics 2017, 13: e1006618. PMID: 28187187, PMCID: PMC5328401, DOI: 10.1371/journal.pgen.1006618.Peer-Reviewed Original ResearchMeSH KeywordsAllelesAttention Deficit Disorder with HyperactivityAutism Spectrum DisorderBipolar DisorderBrainComputational BiologyDepressive Disorder, MajorGene Expression ProfilingGene OntologyGene Regulatory NetworksGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHumansPituitary GlandPolymorphism, Single NucleotideRisk FactorsSchizophreniaTranscriptomeConceptsPositive selectionGene Ontology enrichmentGene expression enrichmentPrevious genetic studiesGWAS summary statisticsNervous system developmentCommon risk allelesPsychiatric Genomics ConsortiumSystems geneticsOntology enrichmentRisk allelesSynapse organizationWidespread signaturesEvolutionary processesGenetic studiesGenomics ConsortiumGWASHuman evolutionAllelesIncomplete selectionEffect directionMinor alleleComplete selectionEnrichmentSummary statistics
2016
Climatic and evolutionary drivers of phase shifts in the plague epidemics of colonial India
Lewnard JA, Townsend JP. Climatic and evolutionary drivers of phase shifts in the plague epidemics of colonial India. Proceedings Of The National Academy Of Sciences Of The United States Of America 2016, 113: 14601-14608. PMID: 27791071, PMCID: PMC5187705, DOI: 10.1073/pnas.1604985113.Peer-Reviewed Original ResearchConceptsPlague resistanceEnvironmental driversIntense natural selectionWild host populationsIntense selective pressureEvolutionary driversPossible evolutionary basisHost evolutionNatural selectionDisease resistanceEvolutionary selectionFlea population dynamicsEvolutionary basisSelective pressureEvolutionary processesPopulation dynamicsHost populationsWildlife hostsLocal persistencePlague dynamicsCommensal ratsDisease agentsPowerful insightsDisease transmissionEcologyVectors as Epidemiological Sentinels: Patterns of Within-Tick Borrelia burgdorferi Diversity
Walter KS, Carpi G, Evans BR, Caccone A, Diuk-Wasser MA. Vectors as Epidemiological Sentinels: Patterns of Within-Tick Borrelia burgdorferi Diversity. PLOS Pathogens 2016, 12: e1005759. PMID: 27414806, PMCID: PMC4944968, DOI: 10.1371/journal.ppat.1005759.Peer-Reviewed Original ResearchConceptsPathogen diversityPositive selectionVertebrate hostsHost pathogen diversityLyme disease bacteriaNatural transmission cycleNatural populationsPathogen evolutionGenomic variationHost diversityMajority of ticksHost processesDiverse inoculumUndocumented levelEvolutionary processesTick diversityDisease vectorsMixed strain infectionsImmune complementIndividual ticksDiversityEpidemiological sentinelsTick vectorTransmission cycleHostEarly and multiple origins of metastatic lineages within primary tumors
Zhao ZM, Zhao B, Bai Y, Iamarino A, Gaffney SG, Schlessinger J, Lifton RP, Rimm DL, Townsend JP. Early and multiple origins of metastatic lineages within primary tumors. Proceedings Of The National Academy Of Sciences Of The United States Of America 2016, 113: 2140-2145. PMID: 26858460, PMCID: PMC4776530, DOI: 10.1073/pnas.1525677113.Peer-Reviewed Original ResearchConceptsMetastatic lineagesGenetic changesEarly genetic divergenceMolecular evolutionary modelsSingle genetic changeDivergent lineagesTumor phylogeneticsDivergence timesAncestral stateGenetic divergenceCancer lineagesPhylogenetic analysisEvolutionary processesLineagesCancer evolutionMultiple originsDriver genesCancer biologyCancer progressionSomatic mutationsTumor developmentEvolutionary modelsDriver mutationsChronogramMutations
2015
Hybridization masks speciation in the evolutionary history of the Galápagos marine iguana
MacLeod A, Rodríguez A, Vences M, Orozco-terWengel P, García C, Trillmich F, Gentile G, Caccone A, Quezada G, Steinfartz S. Hybridization masks speciation in the evolutionary history of the Galápagos marine iguana. Proceedings Of The Royal Society B 2015, 282: 20150425. PMID: 26041359, PMCID: PMC4590447, DOI: 10.1098/rspb.2015.0425.Peer-Reviewed Original ResearchConceptsGalápagos marine iguanasEvolutionary historyMarine iguanasIncipient speciationStrong population structureGenome-wide analysisGalápagos land iguanasCommon gene poolDepth genome-wide analysisSpeciation eventsIsland speciationSister lineageEvolutionary potentialFrequent hybridizationExtant populationsLocal adaptationPhylogenetic treeGene poolSister groupPopulation structureVariable markersLand iguanasEvolutionary processesSame islandNearby islands
2014
On the distribution of interspecies correlation for Markov models of character evolution on Yule trees
Mulder WH, Crawford FW. On the distribution of interspecies correlation for Markov models of character evolution on Yule trees. Journal Of Theoretical Biology 2014, 364: 275-283. PMID: 25240905, PMCID: PMC4256168, DOI: 10.1016/j.jtbi.2014.09.016.Peer-Reviewed Original ResearchConceptsPhylogenetic treeYule treeProbability distributionPhylogenetic information contentContinuous-time modelPhylogenetic inference methodsOrnstein-Uhlenbeck modelCharacter evolutionPhylogenetic studiesNumber of mutationsTrait patternsRelated organismsStochastic modelNew speciesSimple continuous-time modelBrownian motionYule processEvolutionary processesPhenotypic changesMutation modelInference methodsSite patternsOptimal designSpeciationMutations
2013
HUMAN IMPACTS HAVE SHAPED HISTORICAL AND RECENT EVOLUTION IN AEDES AEGYPTI, THE DENGUE AND YELLOW FEVER MOSQUITO
Brown JE, Evans BR, Zheng W, Obas V, Barrera‐Martinez L, Egizi A, Zhao H, Caccone A, Powell JR. HUMAN IMPACTS HAVE SHAPED HISTORICAL AND RECENT EVOLUTION IN AEDES AEGYPTI, THE DENGUE AND YELLOW FEVER MOSQUITO. Evolution 2013, 68: 514-525. PMID: 24111703, PMCID: PMC3946797, DOI: 10.1111/evo.12281.Peer-Reviewed Original ResearchConceptsYellow fever mosquitoSingle nucleotide polymorphism (SNP) markersHuman trade routesPatterns of domesticationArthropod disease vectorsDomestic formsNuclear genesEcological overlapEvolutionary historyDomestic AePolymorphism markersNovel nichesDNA sequencesGenetic dataEvolutionary processesDisease vectorsGenetic studiesSuch speciesLater invasionDNA sequencingNew WorldSpeciesAnthropogenic impactsHuman impactAnthropogenic forces
2010
Combining mathematics and empirical data to predict emergence of RNA viruses that differ in reservoir use
Ogbunugafor CB, Basu S, Morales NM, Turner PE. Combining mathematics and empirical data to predict emergence of RNA viruses that differ in reservoir use. Philosophical Transactions Of The Royal Society B Biological Sciences 2010, 365: 1919-1930. PMID: 20478887, PMCID: PMC2880119, DOI: 10.1098/rstb.2010.0075.Peer-Reviewed Original ResearchConceptsVesicular stomatitis virus populationsHost-use strategiesRNA virusesPrimary hostAverage reproductive ratesGeneralist virusesExperimental evolutionNovel hostInfectious disease emergencePathogen emergenceEvolutionary processesReproductive rateDisease emergenceVirus populationsTypes of pathogensModel systemGeneralistsHostPathogensVirusLogistic growth model
2009
Predicting Virus Evolution: The Relationship between Genetic Robustness and Evolvability of Thermotolerance
Ogbunugafor CB, McBride RC, Turner PE. Predicting Virus Evolution: The Relationship between Genetic Robustness and Evolvability of Thermotolerance. Cold Spring Harbor Symposia On Quantitative Biology 2009, 74: 109-118. PMID: 19843592, DOI: 10.1101/sqb.2009.74.023.Peer-Reviewed Original ResearchConceptsGenetic robustnessVirus evolvabilityMutational inputExtant populationsEvolutionary biologistsEvolutionary eventsExperimental evolutionEvolutionary biologyVirus adaptabilityPhylogenetic methodsAdaptive thermotoleranceVirus evolutionEvolutionary processesHost populationsEvolvabilityPredictive scienceThermotoleranceNew environmentHistorical patternsMicrobesEvolutionBiologistsOrganismsBiologyCanalization
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