Efficient SARS-CoV-2 Surveillance during the Pandemic-Endemic Transition Using PCR-Based Genotyping Assays

ABSTRACT Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants of concern (VOC) pose an increased risk to public health due to higher transmissibility and/or immune escape. In this study, we assessed the performance of a custom TaqMan SARS-CoV-2 mutation panel consisting of 10 select...

Full description

Bibliographic Details
Main Authors: Lianne Koets, Karin van Leeuwen, Maaike Derlagen, Jalenka van Wijk, Nadia Keijzer, Jelena D. M. Feenstra, Manoj Gandhi, Oceane Sorel, Thijs J. W. van de Laar, Marco H. G. M. Koppelman
Format: Article
Language:English
Published: American Society for Microbiology 2023-06-01
Series:Microbiology Spectrum
Subjects:
Online Access:https://journals.asm.org/doi/10.1128/spectrum.03450-22
_version_ 1797803379434455040
author Lianne Koets
Karin van Leeuwen
Maaike Derlagen
Jalenka van Wijk
Nadia Keijzer
Jelena D. M. Feenstra
Manoj Gandhi
Oceane Sorel
Thijs J. W. van de Laar
Marco H. G. M. Koppelman
author_facet Lianne Koets
Karin van Leeuwen
Maaike Derlagen
Jalenka van Wijk
Nadia Keijzer
Jelena D. M. Feenstra
Manoj Gandhi
Oceane Sorel
Thijs J. W. van de Laar
Marco H. G. M. Koppelman
author_sort Lianne Koets
collection DOAJ
description ABSTRACT Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants of concern (VOC) pose an increased risk to public health due to higher transmissibility and/or immune escape. In this study, we assessed the performance of a custom TaqMan SARS-CoV-2 mutation panel consisting of 10 selected real-time PCR (RT-PCR) genotyping assays compared to whole-genome sequencing (WGS) for identification of 5 VOC circulating in The Netherlands. SARS-CoV-2 positive samples (N = 664), collected during routine PCR screening (15 ≤ CT ≤ 32) between May-July 2021 and December 2021-January 2022, were selected and analyzed using the RT-PCR genotyping assays. VOC lineage was determined based on the detected mutation profile. In parallel, all samples underwent WGS with the Ion AmpliSeq SARS-CoV-2 research panel. Among 664 SARS-CoV-2 positive samples, the RT-PCR genotyping assays classified 31.2% as Alpha (N = 207); 48.9% as Delta (N = 325); 19.4% as Omicron (N = 129), 0.3% as Beta (N = 2), and 1 sample as a non-VOC. Matching results were obtained using WGS in 100% of the samples. RT-PCR genotyping assays enable accurate detection of SARS-CoV-2 VOC. Furthermore, they are easily implementable, and the costs and turnaround time are significantly reduced compared to WGS. For this reason, a higher proportion of SARS-CoV-2 positive cases in the VOC surveillance testing can be included, while reserving valuable WGS resources for identification of new variants. Therefore, RT-PCR genotyping assays would be a powerful method to include in SARS-CoV-2 surveillance testing. IMPORTANCE The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) genome changes constantly. It is estimated that there are thousands of variants of SARS-CoV-2 by now. Some of those variants, variants of concern (VOC), pose an increased risk to public health due to higher transmissibility and/or immune escape. Pathogen surveillance helps researchers, epidemiologists, and public health officials to monitor the evolution of infectious diseases agents, alert on the spread of pathogens, and develop counter measures like vaccines. The technique used for the pathogen surveillance is called sequence analysis which makes it possible to examine the building blocks of SARS-CoV-2. In this study, a new PCR method based on the detection of specific changes of those building blocks is presented. This method enables a fast, accurate and cheap determination of different SARS-CoV-2 VOC. Therefore, it would be a powerful method to include in SARS-CoV-2 surveillance testing.
first_indexed 2024-03-13T05:21:03Z
format Article
id doaj.art-31c92e31667b4132abe8563b8b18484a
institution Directory Open Access Journal
issn 2165-0497
language English
last_indexed 2024-03-13T05:21:03Z
publishDate 2023-06-01
publisher American Society for Microbiology
record_format Article
series Microbiology Spectrum
spelling doaj.art-31c92e31667b4132abe8563b8b18484a2023-06-15T13:18:32ZengAmerican Society for MicrobiologyMicrobiology Spectrum2165-04972023-06-0111310.1128/spectrum.03450-22Efficient SARS-CoV-2 Surveillance during the Pandemic-Endemic Transition Using PCR-Based Genotyping AssaysLianne Koets0Karin van Leeuwen1Maaike Derlagen2Jalenka van Wijk3Nadia Keijzer4Jelena D. M. Feenstra5Manoj Gandhi6Oceane Sorel7Thijs J. W. van de Laar8Marco H. G. M. Koppelman9Sanquin Research and Lab Services, National Screening Laboratory of Sanquin, Amsterdam, The NetherlandsSanquin Diagnostics, Department of Phagocytes Diagnostics, Amsterdam, The NetherlandsSanquin Diagnostics, Department of Immune Cytology, Amsterdam, The NetherlandsSanquin Diagnostics, Department of Immune Cytology, Amsterdam, The NetherlandsSanquin Diagnostics, Department of Immune Cytology, Amsterdam, The NetherlandsThermo Fisher Scientific, South San Francisco, California, USAThermo Fisher Scientific, South San Francisco, California, USAThermo Fisher Scientific, South San Francisco, California, USASanquin Research, Department of Blood-Borne Infections, Amsterdam, The NetherlandsSanquin Research and Lab Services, National Screening Laboratory of Sanquin, Amsterdam, The NetherlandsABSTRACT Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants of concern (VOC) pose an increased risk to public health due to higher transmissibility and/or immune escape. In this study, we assessed the performance of a custom TaqMan SARS-CoV-2 mutation panel consisting of 10 selected real-time PCR (RT-PCR) genotyping assays compared to whole-genome sequencing (WGS) for identification of 5 VOC circulating in The Netherlands. SARS-CoV-2 positive samples (N = 664), collected during routine PCR screening (15 ≤ CT ≤ 32) between May-July 2021 and December 2021-January 2022, were selected and analyzed using the RT-PCR genotyping assays. VOC lineage was determined based on the detected mutation profile. In parallel, all samples underwent WGS with the Ion AmpliSeq SARS-CoV-2 research panel. Among 664 SARS-CoV-2 positive samples, the RT-PCR genotyping assays classified 31.2% as Alpha (N = 207); 48.9% as Delta (N = 325); 19.4% as Omicron (N = 129), 0.3% as Beta (N = 2), and 1 sample as a non-VOC. Matching results were obtained using WGS in 100% of the samples. RT-PCR genotyping assays enable accurate detection of SARS-CoV-2 VOC. Furthermore, they are easily implementable, and the costs and turnaround time are significantly reduced compared to WGS. For this reason, a higher proportion of SARS-CoV-2 positive cases in the VOC surveillance testing can be included, while reserving valuable WGS resources for identification of new variants. Therefore, RT-PCR genotyping assays would be a powerful method to include in SARS-CoV-2 surveillance testing. IMPORTANCE The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) genome changes constantly. It is estimated that there are thousands of variants of SARS-CoV-2 by now. Some of those variants, variants of concern (VOC), pose an increased risk to public health due to higher transmissibility and/or immune escape. Pathogen surveillance helps researchers, epidemiologists, and public health officials to monitor the evolution of infectious diseases agents, alert on the spread of pathogens, and develop counter measures like vaccines. The technique used for the pathogen surveillance is called sequence analysis which makes it possible to examine the building blocks of SARS-CoV-2. In this study, a new PCR method based on the detection of specific changes of those building blocks is presented. This method enables a fast, accurate and cheap determination of different SARS-CoV-2 VOC. Therefore, it would be a powerful method to include in SARS-CoV-2 surveillance testing.https://journals.asm.org/doi/10.1128/spectrum.03450-22RT-PCR genotyping assaysSARS-CoV-2variant of concern
spellingShingle Lianne Koets
Karin van Leeuwen
Maaike Derlagen
Jalenka van Wijk
Nadia Keijzer
Jelena D. M. Feenstra
Manoj Gandhi
Oceane Sorel
Thijs J. W. van de Laar
Marco H. G. M. Koppelman
Efficient SARS-CoV-2 Surveillance during the Pandemic-Endemic Transition Using PCR-Based Genotyping Assays
Microbiology Spectrum
RT-PCR genotyping assays
SARS-CoV-2
variant of concern
title Efficient SARS-CoV-2 Surveillance during the Pandemic-Endemic Transition Using PCR-Based Genotyping Assays
title_full Efficient SARS-CoV-2 Surveillance during the Pandemic-Endemic Transition Using PCR-Based Genotyping Assays
title_fullStr Efficient SARS-CoV-2 Surveillance during the Pandemic-Endemic Transition Using PCR-Based Genotyping Assays
title_full_unstemmed Efficient SARS-CoV-2 Surveillance during the Pandemic-Endemic Transition Using PCR-Based Genotyping Assays
title_short Efficient SARS-CoV-2 Surveillance during the Pandemic-Endemic Transition Using PCR-Based Genotyping Assays
title_sort efficient sars cov 2 surveillance during the pandemic endemic transition using pcr based genotyping assays
topic RT-PCR genotyping assays
SARS-CoV-2
variant of concern
url https://journals.asm.org/doi/10.1128/spectrum.03450-22
work_keys_str_mv AT liannekoets efficientsarscov2surveillanceduringthepandemicendemictransitionusingpcrbasedgenotypingassays
AT karinvanleeuwen efficientsarscov2surveillanceduringthepandemicendemictransitionusingpcrbasedgenotypingassays
AT maaikederlagen efficientsarscov2surveillanceduringthepandemicendemictransitionusingpcrbasedgenotypingassays
AT jalenkavanwijk efficientsarscov2surveillanceduringthepandemicendemictransitionusingpcrbasedgenotypingassays
AT nadiakeijzer efficientsarscov2surveillanceduringthepandemicendemictransitionusingpcrbasedgenotypingassays
AT jelenadmfeenstra efficientsarscov2surveillanceduringthepandemicendemictransitionusingpcrbasedgenotypingassays
AT manojgandhi efficientsarscov2surveillanceduringthepandemicendemictransitionusingpcrbasedgenotypingassays
AT oceanesorel efficientsarscov2surveillanceduringthepandemicendemictransitionusingpcrbasedgenotypingassays
AT thijsjwvandelaar efficientsarscov2surveillanceduringthepandemicendemictransitionusingpcrbasedgenotypingassays
AT marcohgmkoppelman efficientsarscov2surveillanceduringthepandemicendemictransitionusingpcrbasedgenotypingassays