2024
DengueSeq: a pan-serotype whole genome amplicon sequencing protocol for dengue virus
Vogels C, Hill V, Breban M, Chaguza C, Paul L, Sodeinde A, Taylor-Salmon E, Ott I, Petrone M, Dijk D, Jonges M, Welkers M, Locksmith T, Dong Y, Tarigopula N, Tekin O, Schmedes S, Bunch S, Cano N, Jaber R, Panzera C, Stryker I, Vergara J, Zimler R, Kopp E, Heberlein L, Herzog K, Fauver J, Morrison A, Michael S, Grubaugh N. DengueSeq: a pan-serotype whole genome amplicon sequencing protocol for dengue virus. BMC Genomics 2024, 25: 433. PMID: 38693476, PMCID: PMC11062901, DOI: 10.1186/s12864-024-10350-x.Peer-Reviewed Original ResearchConceptsAmplicon sequencing protocolsPrimer schemeSequencing protocolGenomic surveillanceDengue virus serotypesAmplicon sequencing workflowClinical specimensHigh genome coverageWhole-genome sequencingDengue virusVirus serotypesGenome coverageVirus stocksGenetic diversitySequencing instrumentsSequencing workflowGenotype VIDiverse serotypesSequence of samplesGenotype IVPrimersSurveillance of dengue virusSerotypesVirus copiesSerotype-specific
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
2020
Genomic Epidemiology of SARS-CoV-2 in Guangdong Province, China
Lu J, du Plessis L, Liu Z, Hill V, Kang M, Lin H, Sun J, François S, Kraemer M, Faria N, McCrone J, Peng J, Xiong Q, Yuan R, Zeng L, Zhou P, Liang C, Yi L, Liu J, Xiao J, Hu J, Liu T, Ma W, Li W, Su J, Zheng H, Peng B, Fang S, Su W, Li K, Sun R, Bai R, Tang X, Liang M, Quick J, Song T, Rambaut A, Loman N, Raghwani J, Pybus O, Ke C. Genomic Epidemiology of SARS-CoV-2 in Guangdong Province, China. Cell 2020, 181: 997-1003.e9. PMID: 32359424, PMCID: PMC7192124, DOI: 10.1016/j.cell.2020.04.023.Peer-Reviewed Original ResearchConceptsGenetic diversity of SARS-CoV-2Combination of metagenomic sequencingDiversity of SARS-CoV-2Genomic epidemiology of SARS-CoV-2Genetic diversityAmplicon approachPhylogenetic analysisMetagenomic sequencingPhylogenetic clusteringChina’s most populous province,Genetic variationEpidemiology of SARS-CoV-2Genomic epidemiologyIndependent introductionsSARS-CoV-2Molecular epidemiologyMolecular surveillanceGenomeLocal transmission chainsTransmission chainCentral ChinaSequenceSARS-CoV-2 infectionGuangdong Province