Reducing Supply Chain Dependencies for Viral Genomic Surveillance: Get by with a Little HELP from Commercial Enzymes already in your Lab Freezer
Abstract
ABSTRACT The COVID-19 pandemic exposed vulnerabilities in global laboratory supply chains, disrupting genomic surveillance efforts essential to epidemic response. To address this challenge, we developed ARTIC HELP (Homebrew Enzymes for Library Preparation), a practical, open-source adaptation of the widely adopted ARTIC nanopore sequencing protocol for viral genomic surveillance. We describe generic, cost-effective alternatives to all enzyme mixes used in tiling multiplex RT-PCR amplification of the virus genome, and the nanopore native barcoding workflow, including end-prep (EP), barcode ligation (BL), and adapter ligation (AL), making it broadly applicable to any laboratory. Through systematic evaluation, we identified a wild-type M-MLV reverse transcriptase and two types of proofreading DNA polymerases as effective alternatives when standard reagents are unavailable due to high cost or limited supply: B-family Pfu-based polymerases with a fused Sso7d DNA-binding domain, and blends combining A-family (Taq-based) and B-family (Pfu-based) polymerases. Validation on clinical samples of SARS-CoV-2 and Norovirus GII confirmed that the HELP workflow achieves genome coverage comparable to the ARTIC LoCost protocol. For SARS-CoV-2 samples (Ct ≤28), the wild-type M-MLV RT combined with selected Pfu or A+B polymerases, along with optimised HELP mixes (EP, BL, AL), achieved genome coverage of 84.0–99.6%. For Norovirus GII (Ct ≤32), the HELP workflow using one of the Pfu polymerases achieved genome coverage of >85% for six out of eight genotypes tested. Notably, several of the other polymerases tested showed reduced performance at higher Ct values. However, they still achieved strong coverage at Ct
Fields of Study & Subjects
SARS-CoV-2 detection and testing
Viral gastroenteritis research and epidemiology
SARS-CoV-2 and COVID-19 Research
Publication details
- Journal / source
- Wellcome Open Research
- Publisher
- F1000 Research Ltd
- Volume
- 10
- Pages
- 529–529
- Publication date
- 21 April 2026
- Language
- EN