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Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny.

Martin HuntAngie S HinrichsDaniel Paolo AndersonLily KarimBethany L DearloveJeff KnaggsBede ConstantinidesPhilip W FowlerGillian RodgerTeresa StreetSheila F LumleyHermione WebsterTheo SandersonChristopher RuisNicola de MaioLucas N Amenga-EtegoDominic Selorm Yao AmuzuMartin AvaroGordon Akanzuwine AwandareReuben Ayivor-DjanieMatthew BashtonElizabeth M BattyYaw BediakoDenise De BelderEstefania BenedettiAndreas BergthalerStefan A BoersJosefina CamposRosina Afua Ampomah CarrFacundo CubaMaria Elena DatteroWanwisa DejnirattisaiAlexander T DiltheyKwabena Obeng DueduLukas EndlerIlka EngelmannNgiambudulu M FranciscoJonas FuchsEtienne Gnimpieba ZSoraya GrocJones GyamfiDennis HeemskerkTorsten HouwaartNei-Yuan HsiaoMatthew HuskaMartin HölzerArash IranzadehHanna JarvaChandima JeewandaraBani JollyRageema JosephRavi KantKarrie Ko Kwan KiSatu KurkelaMaija LappalainenMarie LataretuChang LiuGathsaurie Neelika MalavigeTapfumanei MasheJuthathip MongkolsapayaBrigitte MontesJosé Arturo Molina-MoraCollins Misita Morang'aBernard MvulaNiranjan NagarajanAndrew NelsonJoyce M NgoiJoana Paula da PaixãoMarcus PanningTomás Javier PoklepovichPeter Kojo QuashieDiyanath RanasingheMara RussoJames Emmanuel SanNicholas D SandersonVinod ScariaGavin ScreatonTarja A SironenAbay SisayDarren L SmithTeemu SmuraPiyada SupasaChayaporn SuphavilaiJeremy SwannHouriiyah TegallyBryan TegomohOlli VapalahtiAndreas WalkerRobert John WilkinsonCarolyn Williamsonnull nullTulio de OliveiraTimothy Ea PetoDerrick CrookRussell Corbett-DetigZamin Iqbal
Published in: bioRxiv : the preprint server for biology (2024)
The SARS-CoV-2 genome occupies a unique place in infection biology - it is the most highly sequenced genome on earth (making up over 20% of public sequencing datasets) with fine scale information on sampling date and geography, and has been subject to unprecedented intense analysis. As a result, these phylogenetic data are an incredibly valuable resource for science and public health. However, the vast majority of the data was sequenced by tiling amplicons across the full genome, with amplicon schemes that changed over the pandemic as mutations in the viral genome interacted with primer binding sites. In combination with the disparate set of genome assembly workflows and lack of consistent quality control (QC) processes, the current genomes have many systematic errors that have evolved with the virus and amplicon schemes. These errors have significant impacts on the phylogeny, and therefore over the last few years, many thousands of hours of researchers time has been spent in "eyeballing" trees, looking for artefacts, and then patching the tree. Given the huge value of this dataset, we therefore set out to reprocess the complete set of public raw sequence data in a rigorous amplicon-aware manner, and build a cleaner phylogeny. Here we provide a global tree of 3,960,704 samples, built from a consistently assembled set of high quality consensus sequences from all available public data as of March 2023, viewable at https://viridian.taxonium.org . Each genome was constructed using a novel assembly tool called Viridian ( https://github.com/iqbal-lab-org/viridian ), developed specifically to process amplicon sequence data, eliminating artefactual errors and mask the genome at low quality positions. We provide simulation and empirical validation of the methodology, and quantify the improvement in the phylogeny. Phase 2 of our project will address the fact that the data in the public archives is heavily geographically biased towards the Global North. We therefore have contributed new raw data to ENA/SRA from many countries including Ghana, Thailand, Laos, Sri Lanka, India, Argentina and Singapore. We will incorporate these, along with all public raw data submitted between March 2023 and the current day, into an updated set of assemblies, and phylogeny. We hope the tree, consensus sequences and Viridian will be a valuable resource for researchers.
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