Evidence map›Paper›PMID 41417279›Full record

ArticleMicrobial genomics2025

Sequencing and variant calling of SARS-CoV-2 from floor swabs: a potential tool for identifying emergent lineages.

Benazir Hodzic-Santor, Aaron Hinz, Rees Kassen, Ju-Ling Liu, Haig Djambazian, Sally Lee, Alexandra Hicks, Calvin Sjaarda, Henry Wong, Prameet M Sheth and 7 more

Abstract read
In one paragraph

Article in Microbial genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

17 authors.

Benazir Hodzic-SantorDepartment of Medicine, University of Toronto, Toronto, ON, Canada.
Aaron HinzDepartment of Biology, Carleton University, Ottawa, ON, Canada.
Rees KassenDepartment of Biology, McGill University, Montreal, QC, Canada.
Ju-Ling LiuMcGill Genome Centre, Victor Phillip Dahdaleh Institute of Genomic Medicine, McGill University, Montreal, QC, Canada.
Haig DjambazianMcGill Genome Centre, Victor Phillip Dahdaleh Institute of Genomic Medicine, McGill University, Montreal, QC, Canada.
Sally LeeMcGill Genome Centre, Victor Phillip Dahdaleh Institute of Genomic Medicine, McGill University, Montreal, QC, Canada.
Alexandra HicksDepartment of Biology, University of Ottawa, Ottawa, ON, Canada.
Calvin SjaardaInfectious Disease Sequencing Laboratory, Kingston Health Sciences Centre, Kingston, ON, Canada.
Henry WongInfectious Disease Sequencing Laboratory, Kingston Health Sciences Centre, Kingston, ON, Canada.
Prameet M ShethInfectious Disease Sequencing Laboratory, Kingston Health Sciences Centre, Kingston, ON, Canada.
Caroline NottOttawa Hospital Research Institute, Ottawa, ON, Canada.
Derek R MacFaddenOttawa Hospital Research Institute, Ottawa, ON, Canada.
Anne-Marie RoyMcGill Genome Centre, Victor Phillip Dahdaleh Institute of Genomic Medicine, McGill University, Montreal, QC, Canada.
Jiannis RagoussisMcGill Genome Centre, Victor Phillip Dahdaleh Institute of Genomic Medicine, McGill University, Montreal, QC, Canada.
Lucas CastellaniSault Area Hospital, Sault Ste. Marie, ON, Canada.
Michael FralickDepartment of Medicine, University of Toronto, Toronto, ON, Canada.
Alex WongDepartment of Biology, Carleton University, Ottawa, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ongoing viral evolution is a key driver of global pandemics, such as COVID-19, contributing to the repeated emergence and spread of new variants of concern. Identifying emerging viral variants is crucial for controlling the spread of infection; however, patient testing is not always feasible, and clinical samples are not routinely sequenced. As a result, new approaches, such as environmental-based surveillance, are needed for monitoring genetic diversity. Floor swabs provide greater spatial resolution than other environmental sampling approaches, but pose challenges for genomic analyses due to microbial RNA/DNA yields. We investigate the potential of obtaining whole-genome diversity data from floor swab samples to detect circulating lineages of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Floor swabs (n=23) were collected and sequenced from public locations in Ottawa, Canada, during December 2022, and were compared with contemporaneous human samples. Low biomass recovery remained a challenge, as approximately half of the swabs did not yield sufficient genetic material for analysis. The most commonly identified lineages from the floor swabs were XBB, while B (12.5%) and BA (12.5%) lineages appeared less frequently. In contrast, swab results from humans most often identified BQ (49.3%), BA (23.8%) and BF (17.8%), with XBB detected at a lower prevalence (2.7%). XBB became the dominant lineage in the region in the month following floor swab collection, suggesting that floor swabs may offer early signals of emerging outbreaks in comparison with hospital-based clinical sampling. This may suggest a role for floor swabs in outbreak prediction; however, larger studies are needed to validate this approach.

Indexed as

COVID-19SARS-CoV-2CanadaGenetic VariationGenome, ViralHumansPhylogenyRNA, ViralSpecimen HandlingWhole Genome SequencingRNA, Viralbuilt environmentenvironmental surveillanceviral diversity

Identifiers

PMID41417279
PMCPMC12716492

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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.