Evidence map›Paper›PMID 42243387›Full record

ArticleScientific reports2026

Same-day tagmentation PCR-based whole genome sequencing of bacteriophage genomes from a single plaque without DNA extraction.

Brenna Fox, Kayla Paulini, Jasmin Chahal, Patrick Łypaczewski

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Brenna FoxDepartment of Microbiology and Immunology, McGill University, Montreal, Canada.
Kayla PauliniDepartment of Microbiology and Immunology, McGill University, Montreal, Canada.
Jasmin ChahalDepartment of Microbiology and Immunology, McGill University, Montreal, Canada.
Patrick ŁypaczewskiDepartment of Microbiology and Immunology, McGill University, Montreal, Canada. patrick.lypaczewski@mcgill.ca.

Funding

CIHR 195796
6 · The paper itself

Abstract

DNA sequencing is at the core of genome characterization, proteomics, and identification of novel organisms. For microorganisms such as bacteriophages, sequencing their DNA can provide key insights into their tropism, infectivity, and virulence. There remains however a critical lack of rapid sequencing techniques with the traditional process of replating and incubating individual plaques, collecting lysate, extracting DNA, preparing the DNA library, and sequencing that is labor intensive. Herein, we demonstrate the use of an adapted Nanopore Rapid PCR Barcoding protocol to sequence bacteriophage genomes via tagmentation and PCR amplification of crude plaque material, bypassing classical phage amplification, filtration and DNA extraction. When applied to our phage collection, this technique provided genome assemblies with 99.88-100% (mean 99.97%) average nucleotide identity (ANI) scores when compared to the traditional methods involving phage amplification, extraction, and sequencing using Illumina. This PCR-based approach is however not suitable for studying phage DNA modifications, akin to sequencing by synthesis, although developed for Oxford Nanopore Technologies sequencing which traditionally allows for interrogation modified bases. The optimization of bacteriophage identification by the technique of tagmentation directly to isolated plaques can enable same-day plaque-to-sequence workflows for novel phages, as demonstrated here in a proof-of-concept evaluation of 14 plaque genomes.

Indexed as

BacteriophagesGenome, ViralPolymerase Chain ReactionWhole Genome SequencingDNA, ViralSequence Analysis, DNADNA, Viral

Identifiers

PMID42243387
PMCPMC13473507

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.