journal article Open Access Jul 03, 2025

Droplet digital RT-PCR method for SARS-CoV-2 variants detection in clinical and wastewater samples

View at Publisher Save 10.3389/fmicb.2025.1635733
Abstract
ObjectiveTo establish a sensitive, specific, and precise quantitative detection method for SARS-CoV-2 variants using droplet digital RT-PCR (RT-ddPCR).MethodsDual primer-probe sets targeting the SARS-CoV-2 nucleocapsid (N) and spike (S) genes were designed. The annealing temperature for RT-ddPCR was optimized using a gradient PCR system. The sensitivity, defined as the limit of detection (LOD), was determined by serially diluting SARS-CoV-2 RNA. The specificity of the RT-ddPCR assay was evaluated using SARS-CoV-2 variants and common respiratory viruses. Precision and repeatability were assessed by quantitatively repeating the detection on serial dilutions of SARS-CoV-2 RNA. Additionally, the results of RT-ddPCR for clinical and environmental wastewater samples were compared with those from RT-qPCR.ResultsThe optimal annealing temperature was 53.5°C. The LOD for the N and S genes of the original SARS-CoV-2 strain was 4.26 (95% CI: 3.12–9.89) and 3.87 (95% CI: 2.77–7.75) copies/reaction. The Delta strain exhibited LODs of 4.65 (N gene, 95% CI: 3.28–9.64) and 6.12 (S gene, 95% CI: 4.33–15.59) copies/reaction. The Omicron showed 4.07 (N gene, 95% CI: 3.11–6.26) and 4.58 (S gene, 95% CI: 3.43–7.40) copies/reaction. Importantly, the RT-ddPCR assay was repeatable with a coefficient of variation of less than 10% when RNA concentrations of SARS-CoV-2 were between 73.50 and 7,500 copies/reaction. The high specificity of the RT-ddPCR assay was demonstrated by its ability to correctly detect the thirty SARS-CoV-2 variants, while not other common respiratory viruses. For 148 clinical pharyngeal swab specimens, the positive rate for both RT-ddPCR and RT-qPCR was 86.49%, and a coincidence rate of 98.65% and a Kappa value of 0.94. Quantitative comparison of RT-ddPCR and RT-qPCR in 50 wastewater samples with low viral load, RT-ddPCR assay detected 50 positives for dual gene targets (N and S genes), whereas RT-qPCR assay only 21 exhibited concurrent positivity for dual gene targets, while 25 showed S gene detection, and 4 were negative for dual gene targets, suggesting our RT-ddPCR assay enabled absolute quantification of SARS-CoV-2 variants with low viral load.ConclusionThe RT-ddPCR assay developed in this study can be used for SARS-CoV-2 variants detection and quantitative analysis of clinical and environmental samples.
Topics

No keywords indexed for this article. Browse by subject →

References
20
[1]
Eltayeb "Overview of the SARS-CoV-2 nucleocapsid protein" Int. J. Biol. Macromol. (2024) 10.1016/j.ijbiomac.2024.129523
[2]
Hayashi "Droplet digital PCR assay provides intrahepatic HBV cccDNA quantification tool for clinical application" Sci. Rep. (2022) 10.1038/s41598-022-05882-9
[3]
Huggett "Considerations for digital PCR as an accurate molecular diagnostic tool" Clin. Chem. (2015) 10.1373/clinchem.2014.221366
[4]
Hui "Micro-droplet digital polymerase chain reaction and real-time quantitative polymerase chain reaction technologies provide highly sensitive and accurate detection of Zika virus" Virol. Sin. (2018) 10.1007/s12250-018-0037-y
[5]
Ishak "Diagnostic, prognostic, and therapeutic value of droplet digital PCR (ddPCR) in COVID-19 patients: a systematic review" J. Clin. Med. (2021) 10.3390/jcm10235712
[6]
Mechanisms of SARS-CoV-2 entry into cells

Cody B. Jackson, Michael Farzan, Bing Chen et al.

Nature Reviews Molecular Cell Biology 2022 10.1038/s41580-021-00418-x
[7]
Kojabad "Droplet digital PCR of viral DNA/RNA, current progress, challenges, and future perspectives" J. Med. Virol. (2021) 10.1002/jmv.26846
[8]
Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding

Roujian Lu, Xiang Zhao, Juan Li et al.

The Lancet 2020 10.1016/s0140-6736(20)30251-8
[9]
Park "Comparison of digital PCR and quantitative PCR with various SARS-CoV-2 primer-probe sets" J. Microbiol. Biotechnol. (2021) 10.4014/jmb.2009.09006
[10]
Quan "dPCR: a technology review" Sensors (2018) 10.3390/s18041271
[11]
Rabaan "SARS-CoV-2, SARS-CoV, and MERS-COV: a comparative overview" Infez. Med. (2020)
[12]
Tools and Techniques for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/COVID-19 Detection

Seyed Hamid Safiabadi Tali, Jason J. LeBlanc, Zubi Sadiq et al.

Clinical Microbiology Reviews 2021 10.1128/cmr.00228-20
[13]
Suo "ddPCR: a more accurate tool for SARS-CoV-2 detection in low viral load specimens" Emerg Microbes Infect (2020) 10.1080/22221751.2020.1772678
[14]
Urso "Detection of Merkel cell polyomavirus and human papillomavirus DNA in porocarcinoma" J. Clin. Virol. (2016) 10.1016/j.jcv.2016.03.008
[15]
Structure, Function, and Antigenicity of the SARS-CoV-2 Spike Glycoprotein

Alexandra C. Walls, Young-Jun Park, M. Alejandra Tortorici et al.

Cell 2020 10.1016/j.cell.2020.02.058
[16]
Whale "International interlaboratory digital PCR study demonstrating high reproducibility for the measurement of a rare sequence variant" Anal. Chem. (2017) 10.1021/acs.analchem.6b03980
[17]
(2025)
[18]
Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation

Daniel Wrapp, Nianshuang Wang, Kizzmekia S. Corbett et al.

Science 2020 10.1126/science.abb2507
[19]
Xu "Advances in droplet digital polymerase chain reaction on microfluidic chips" Lab Chip (2023) 10.1039/d2lc00814a
[20]
Zhu "Development of a multiplex droplet digital PCR assay for detection of enterovirus, parechovirus, herpes simplex virus 1 and 2 simultaneously for diagnosis of viral CNS infections" Virol. J. (2022) 10.1186/s12985-022-01798-y
Cited By
4
One Assay, Nine Targets: Advancing Viral Surveillance with Multiplex RT-ddPCR

Anastasia Zafeiriadou, Georgia Georgakopoulou · 2025

Analytical Chemistry
Metrics
4
Citations
20
References
Details
Published
Jul 03, 2025
Vol/Issue
16
License
View
Cite This Article
Feng Wang, Yi Sun, Liming Gong, et al. (2025). Droplet digital RT-PCR method for SARS-CoV-2 variants detection in clinical and wastewater samples. Frontiers in Microbiology, 16. https://doi.org/10.3389/fmicb.2025.1635733
Related

You May Also Like

Genome-Based Taxonomic Classification of the Phylum Actinobacteria

Imen Nouioui, Lorena Carro · 2018

2,776 citations

Microbiome Datasets Are Compositional: And This Is Not Optional

Gregory B. Gloor, Jean M. Macklaim · 2017

2,470 citations

Recombinant protein expression in Escherichia coli: advances and challenges

Germán L. Rosano, Eduardo A. Ceccarelli · 2014

1,743 citations

Mechanistic Basis of Antimicrobial Actions of Silver Nanoparticles

Tikam Chand Dakal, Anu Kumar · 2016

1,732 citations