Sequencing and variant calling of SARS-CoV-2 from floor swabs: a potential tool for identifying emergent lineages
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.
Authors
- Lucas Castellani
- Derek R. MacFadden (ORCID: https://orcid.org/0000-0002-3838-1211)
- Sally Lee
- Alexandra Hicks (ORCID: https://orcid.org/0000-0002-0302-5073)
- Haig Djambazian (ORCID: https://orcid.org/0000-0003-0222-4182)
- Calvin Sjaarda (ORCID: https://orcid.org/0000-0002-9787-1915)
- Aaron Hinz (ORCID: https://orcid.org/0000-0003-4438-7043)
- Rees Kassen (ORCID: https://orcid.org/0000-0002-5617-4259)
- Benazir Hodzic-Santor
- Ju‐Ling Liu (ORCID: https://orcid.org/0000-0002-5366-7461)
- Jiannis Ragoussis (ORCID: https://orcid.org/0000-0002-8515-0934)
- Alex Wong (ORCID: https://orcid.org/0000-0001-6249-3013)
- Prameet M. Sheth (ORCID: https://orcid.org/0000-0003-0029-7345)
- Michael Fralick (ORCID: https://orcid.org/0000-0002-2082-2445)
- Caroline Nott
- Henry Wong (ORCID: https://orcid.org/0000-0002-0958-4781)
- Anne-Marie Roy
Institutions
- University of Ottawa (CA)
- University of Toronto (CA)
- Queen's University (CA)
- Ottawa Hospital (CA)
- Sault Area Hospital (CA)
- McGill Genome Centre (CA)
- Sinai Health System (CA)
- Kingston Health Sciences Centre (CA)
- Ottawa Hospital Research Institute (CA)
- McGill University (CA)
- Carleton University (CA)
- NOSM University (CA)
Publication Details
- Journal
- Microbial Genomics
- Published
- 2025-12-19
- DOI
- https://doi.org/10.1099/mgen.0.001575
- Primary Topic
- SARS-CoV-2 and COVID-19 Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00