Evidence map›Paper›PMID 42181968›Full record

ArticleWellcome open research2025

Reducing Supply Chain Dependencies for Viral Genomic Surveillance: Get by with a Little HELP from Commercial Enzymes already in your Lab Freezer.

Ganna Kovalenko, Myra Hosmillo, Chris Kent, Kess Rowe, Andrew Rambaut, Nicholas J Loman, Joshua Quick, Ian Goodfellow

Abstract read
In one paragraph

Article in Wellcome open research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ganna KovalenkoDivision of Virology, University of Cambridge Department of Pathology, Cambridge, England, CB2 0QN, UK.ORCID https://orcid.org/0000-0002-4929-0841
Myra HosmilloDivision of Virology, University of Cambridge Department of Pathology, Cambridge, England, CB2 0QN, UK.ORCID https://orcid.org/0000-0002-3514-7681
Chris KentInstitute of Microbiology and Infection, University of Birmingham School of Biosciences, Birmingham, England, B15 2TT, UK.ORCID https://orcid.org/0000-0003-4269-0153
Kess RoweDivision of Virology, University of Cambridge Department of Pathology, Cambridge, England, CB2 0QN, UK.
Andrew RambautThe University of Edinburgh Institute of Evolutionary Biology, Edinburgh, Scotland, EH1 2LE, UK.
Nicholas J LomanInstitute of Microbiology and Infection, University of Birmingham School of Biosciences, Birmingham, England, B15 2TT, UK.ORCID https://orcid.org/0000-0002-9843-8988
Joshua QuickInstitute of Microbiology and Infection, University of Birmingham School of Biosciences, Birmingham, England, B15 2TT, UK.
Ian GoodfellowDivision of Virology, University of Cambridge Department of Pathology, Cambridge, England, CB2 0QN, UK.ORCID https://orcid.org/0000-0002-9483-510X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic exposed critical vulnerabilities in global laboratory supply chains, disrupting the availability of key reagents and jeopardising the continuity of genomic surveillance for epidemic response. Sustaining sequencing capacity during shortages requires locally accessible alternatives to commercial kits. Methods: We developed ARTIC HELP (Homebrew Enzymes for Library Preparation), an open-source adaptation of the ARTIC nanopore sequencing protocol for viral genomic surveillance. We described cost-effective, generic replacements for enzyme mixes used in tiling multiplex RT-PCR and the nanopore native barcoding workflow, including end-prep (EP), barcode ligation (BL), and adapter ligation (AL). Through systematic evaluation, we tested wild-type M-MLV reverse transcriptase and two types of proofreading DNA polymerases, (i) B-family Pfu-based polymerases fused to an Sso7d DNA-binding domain, and (ii) blends of A-family (Taq-based) and B-family (Pfu-based) polymerases, against standard reagents. We validated the workflow on clinical SARS-CoV-2 and Norovirus GII samples. Results: The HELP workflow delivered genome coverage comparable to the ARTIC LoCost protocol. For SARS-CoV-2 samples (Ct ≤28), wild-type M-MLV RT combined with selected Pfu or AB blend polymerases, alongside optimized HELP EP, BL, and AL mixes, achieved 84.0-99.6% genome coverage. For Norovirus GII samples (Ct ≤32), the HELP workflow enabled >85% coverage across six of eight genotypes tested. While some polymerases showed reduced performance at higher Ct values, they performed reliably at Ct <24, supporting their use as emergency alternatives when viral load is high and RNA quality sufficient. Conclusions: ARTIC HELP provides a practical and flexible solution to maintain viral sequencing capacity when standard ARTIC LoCost reagents are inaccessible or unaffordable. Our cost analysis highlights global disparities in reagent pricing, likely influenced by import fees, supply barriers, and local procurement conditions, underscoring the need for more equitable pricing models and local sourcing strategies. By expanding reagent options, ARTIC HELP strengthens preparedness for future global health emergencies.

Indexed as

amplicon sequencingARTIC protocolgenomic surveillancehomebrew enzymes for library preparationnanopore sequencingnorovirus giisars-cov-2supply chain resilience

Identifiers

PMID42181968
PMCPMC13197761

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.