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CoronaHiT: large scale multiplexing of SARS-CoV-2 genomes using Nanopore sequencing
David J Baker; Alp Aydin; Thanh Le-Viet; Gemma L Kay; Steven Rudder; Leonardo de Oliveira Martins; Ana P Tedim; Anastasia Kolyva; Maria Diaz; Nabil-Fareed Alikhan; Lizzie Meadows; Andrew Bell; Ana Victoria Gutierrez; Alexander J Trotter; Nicholas M Thomson; Rachel Gilroy; Luke Griffith; Evelien M Adriaenssens; Rachael Stanley; Ian G Charles; Ngozi Elumogo; John Wain; Reenesh Prakash; Emma Meader; Alison E Mather; Mark A Webber; Samir Dervisevic; Andrew J Page.
Affiliation
  • David J Baker; Quadram Institute Bioscience
  • Alp Aydin; Quadram Institute Bioscience
  • Thanh Le-Viet; Quadram Institute Bioscience
  • Gemma L Kay; Quadram Institute Bioscience
  • Steven Rudder; Quadram Institute Bioscience
  • Leonardo de Oliveira Martins; Quadram Institute Bioscience
  • Ana P Tedim; Quadram Institute Bioscience, Grupo de Investigacion Biomedica en Sepsis - BioSepsis. Hospital Universitario Rio Hortega/Instituto de Investigacion Biomedica de
  • Anastasia Kolyva; Quadram Institute Bioscience, Norfolk and Norwich University Hospital
  • Maria Diaz; Quadram Institute Bioscience
  • Nabil-Fareed Alikhan; Quadram Institute Bioscience
  • Lizzie Meadows; Quadram Institute Bioscience
  • Andrew Bell; Quadram Institute Bioscience
  • Ana Victoria Gutierrez; Quadram Institute Bioscience
  • Alexander J Trotter; Quadram Institute Bioscience, University of East Anglia
  • Nicholas M Thomson; Quadram Institute Bioscience
  • Rachel Gilroy; Quadram Institute Bioscience
  • Luke Griffith; University of East Anglia
  • Evelien M Adriaenssens; Quadram Institute Bioscience
  • Rachael Stanley; Norfolk and Norwich University Hospital
  • Ian G Charles; Quadram Institute Bioscience, University of East Anglia
  • Ngozi Elumogo; Quadram Institute Bioscience, Norfolk and Norwich University Hospital
  • John Wain; Quadram Institute Bioscience, University of East Anglia
  • Reenesh Prakash; Norfolk and Norwich University Hospital
  • Emma Meader; Norfolk and Norwich University Hospital
  • Alison E Mather; Quadram Institute Bioscience
  • Mark A Webber; Quadram Institute Bioscience
  • Samir Dervisevic; Norfolk and Norwich University Hospital
  • Andrew J Page; Quadram Institute Bioscience
Preprint in English | bioRxiv | ID: ppbiorxiv-162156
ABSTRACT
The COVID-19 pandemic has spread to almost every country in the world since it started in China in late 2019. Controlling the pandemic requires a multifaceted approach including whole genome sequencing to support public health interventions at local and national levels. One of the most widely used methods for sequencing is the ARTIC protocol, a tiling PCR approach followed by Oxford Nanopore sequencing (ONT) of up to 96 samples at a time. There is a need, however, for a flexible, platform agnostic, method that can provide multiple throughput options depending on changing requirements as the pandemic peaks and troughs. Here we present CoronaHiT, a method capable of multiplexing up to 96 small genomes on a single MinION flowcell or >384 genomes on Illumina NextSeq, using transposase mediated addition of adapters and PCR based addition of barcodes to ARTIC PCR products. We demonstrate the method by sequencing 95 and 59 SARS-CoV-2 genomes for routine and rapid outbreak response runs, respectively, on Nanopore and Illumina platforms and compare to the standard ARTIC LoCost nanopore method. Of the 154 samples sequenced using the three approaches, genomes with [≥] 90% coverage (GISAID criteria) were generated for 64.3% of samples for ARTIC LoCost, 71.4% for CoronaHiT-ONT, and 76.6% for CoronaHiT-Illumina and have almost identical clustering on a maximum likelihood tree. In conclusion, we demonstrate that CoronaHiT can multiplex up to 96 SARS-CoV-2 genomes per MinION flowcell and that Illumina sequencing can be performed on the same libraries, which will allow significantly higher throughput. CoronaHiT provides increased coverage for higher Ct samples, thereby increasing the number of high quality genomes that pass the GISAID QC threshold. This protocol will aid the rapid expansion of SARS-CoV-2 genome sequencing globally, to help control the pandemic.
License
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Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2020 Document type: Preprint
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