SARS-CoV-2 wastewater genomic surveillance: approaches, challenges, and opportunities
Document Type
Journal Article
Publication Date
1-12-2026
Journal
Genome biology
Volume
27
Issue
1
DOI
10.1186/s13059-025-03927-6
Abstract
Wastewater-based genomic surveillance (WWGS) has proven effective for monitoring SARS-CoV-2 and other viruses within communities. It enables rapid detection of known and emerging mutations and provides insights into circulating lineages. Despite its advantages, WWGS faces challenges in sample processing and computational analysis, particularly in distinguishing similar lineages and identifying novel ones. Recent methods for wastewater sequencing (WWS) analysis remain largely untested amid declining clinical surveillance and ongoing viral evolution. This review examines opportunities and limitations of WWGS, focusing on sample preparation, sequencing technologies, and bioinformatics approaches, and highlights its potential to strengthen public health monitoring systems.
APA Citation
Munteanu, Viorel; Saldana, Michael A.; Dreifuss, David; Ouyang, Wenhao O.; Ferdous, Jannatul; Mohebbi, Fatemeh; Roseberry, Jessica Schlueter; Ciorba, Dumitru; Bostan, Viorel; Gordeev, Victor; Drabcinski, Nicolae; Su, Justin Maine; Kasianchuk, Nadiia; Sharma, Nitesh Kumar; Knyazev, Sergey; Aßmann, Eva; Lobiuc, Andrei; Covasa, Mihai; Crandall, Keith A.; Wu, Nicholas C.; Mason, Christopher E.; Tierney, Braden T.; Lucaci, Alexander G.; Ophoff, Roel A.; Gibas, Cynthia; Rzymski, Piotr; Skums, Pavel; Solo-Gabriele, Helena; Niko, Beerenwinkel; Zelikovsky, Alex; Hölzer, Martin; and Smith, Adam, "SARS-CoV-2 wastewater genomic surveillance: approaches, challenges, and opportunities" (2026). GW Authored Works. Paper 8589.
https://hsrc.himmelfarb.gwu.edu/gwhpubs/8589
Department
Biostatistics and Bioinformatics