2023
Accelerated SARS-CoV-2 intrahost evolution leading to distinct genotypes during chronic infection
Chaguza C, Hahn A, Petrone M, Zhou S, Ferguson D, Breban M, Pham K, Peña-Hernández M, Castaldi C, Hill V, Initiative Y, Billig K, Earnest R, Fauver J, Kalinch C, Kerantzas N, Koch T, De Kumar B, Landry M, Ott I, Peaper D, Tikhonova I, Vogels C, Schulz W, Swanstrom R, Roberts S, Grubaugh N. Accelerated SARS-CoV-2 intrahost evolution leading to distinct genotypes during chronic infection. Cell Reports Medicine 2023, 4: 100943. PMID: 36791724, PMCID: PMC9906997, DOI: 10.1016/j.xcrm.2023.100943.Peer-Reviewed Original ResearchConceptsChronic infectionEvolutionary ratesGenetic diversityIntrahost evolutionDistinct genotypesHigher viral genome copiesVirus evolutionary ratesSARS-CoV-2 evolutionUntreated chronic infectionAdvantageous mutationsNucleotide substitutionsViral genome copiesDivergent variantsInfection hypothesisVariant emergenceViral populationsInfectious virusInfectionHallmark changesGenome copiesDifferent genotypesDiversityGenotypesTemporal dynamicsEvolution
2022
Genomics-informed outbreak investigations of SARS-CoV-2 using civet
O’Toole Á, Hill V, Jackson B, Dewar R, Sahadeo N, Colquhoun R, Rooke S, McCrone J, Duggan K, McHugh M, Nicholls S, Poplawski R, Consortium T, Project C, Aanensen D, Holden M, Connor T, Loman N, Goodfellow I, Carrington C, Templeton K, Rambaut A. Genomics-informed outbreak investigations of SARS-CoV-2 using civet. PLOS Global Public Health 2022, 2: e0000704. PMID: 36962792, PMCID: PMC10021969, DOI: 10.1371/journal.pgph.0000704.Peer-Reviewed Original ResearchWealth of sequence dataGenomic surveillance effortsInvestigation of SARS-CoV-2Outbreak investigationPhylogenetic resultsGenomic informationSequence dataVirus diversityPublic health bodiesCivetSARS-CoV-2Distribution reportsSequenceHealth bodiesCluster discoveryDiversityPublic healthSimilarity analysisSARS-CoV-2 pandemicSurveillance effortsGlobal datasetVirusLocal surveillanceLocal outbreaksNational level
2021
Genomic sequencing of SARS-CoV-2 in Rwanda reveals the importance of incoming travelers on lineage diversity
Butera Y, Mukantwari E, Artesi M, Umuringa J, O’Toole Á, Hill V, Rooke S, Hong S, Dellicour S, Majyambere O, Bontems S, Boujemla B, Quick J, Resende P, Loman N, Umumararungu E, Kabanda A, Murindahabi M, Tuyisenge P, Gashegu M, Rwabihama J, Sindayiheba R, Gikic D, Souopgui J, Ndifon W, Rutayisire R, Gatare S, Mpunga T, Ngamije D, Bours V, Rambaut A, Nsanzimana S, Baele G, Durkin K, Mutesa L, Rujeni N. Genomic sequencing of SARS-CoV-2 in Rwanda reveals the importance of incoming travelers on lineage diversity. Nature Communications 2021, 12: 5705. PMID: 34588460, PMCID: PMC8481346, DOI: 10.1038/s41467-021-25985-7.Peer-Reviewed Original ResearchConceptsGenome sequenceGenome sequences of SARS-CoV-2SARS-CoV-2 whole genome sequencingSequences of SARS-CoV-2Whole-genome sequencingPhylogeographic inferenceLineage diversityStrains of SARS-CoV-2Genomic surveillanceLocally circulating strainsSub-lineagesSeed introductionSARS-CoV-2Variant distributionSequenceViral introductionLineagesDiversity
2020
Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2
Lemey P, Hong S, Hill V, Baele G, Poletto C, Colizza V, O’Toole Á, McCrone J, Andersen K, Worobey M, Nelson M, Rambaut A, Suchard M. Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2. Nature Communications 2020, 11: 5110. PMID: 33037213, PMCID: PMC7547076, DOI: 10.1038/s41467-020-18877-9.Peer-Reviewed Original ResearchConceptsBayesian phylogeographic inferencePhylogeographic inferenceSARS-CoV-2 genomeIndividual travel history dataImpact of sampling biasTravel history dataGenomic samplesPhylogeographic analysisSARS-CoV-2Sampling effortPosterior predictive accuracyUndersampled locationsGenomeVirus migrationSpatiotemporal biasesSpread of SARS-CoV-2Sampling biasTransmission hypothesisSampling locationsIndividual's travel historyLineagesVirus spreadDiversity