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Performance of Long-Read Single-Molecule Real-Time Sequencing for SARS-CoV-2 Genotyping in Clinical Samples.
Pauline Trémeaux1, Justine Latour1, Camille Vellas1,2
1Virology Laboratory, Toulouse University Hospital, Toulouse, France.
Journal of Medical Virology
|August 2, 2025
Summary
PacBio single-molecule real-time (SMRT) sequencing shows 83.6% sensitivity for SARS-CoV-2 typing, though less than Illumina. SMRT sequencing is more efficient for identifying co-infections due to long fragment amplification.
Area of Science:
- Virology
- Genomics
- Molecular Biology
Background:
- Continuous genetic evolution of SARS-CoV-2 necessitates advanced whole genome sequencing for accurate virus typing.
- Various sequencing techniques have been developed to meet the demands of SARS-CoV-2 variant surveillance.
Purpose of the Study:
- To evaluate the performance and accuracy of PacBio single-molecule real-time (SMRT) sequencing for SARS-CoV-2 typing.
- To compare SMRT sequencing with short-read Illumina sequencing for SARS-CoV-2 variant identification.
Main Methods:
- PacBio SMRT sequencing was used to analyze 1646 clinical samples collected between January 2023 and June 2024.
- Reproducibility was assessed using two internal quality controls with high median read depths (1154X and 1059X).
- Performance was compared against Illumina sequencing using 271 samples from the same period.
Main Results:
- SMRT sequencing demonstrated an overall sensitivity of 83.6%, correlated with viral load.
- Illumina sequencing achieved a higher overall sensitivity of 90.8% over the same period.
- SMRT sequencing proved more efficient in identifying distinct lineages during co-infections due to long fragment amplification, despite minor lineage discrepancies attributed to rapid Pango taxonomy updates.
Conclusions:
- Both PacBio SMRT and Illumina sequencing provide accurate SARS-CoV-2 typing for epidemiological and clinical studies.
- SMRT sequencing offers advantages in resolving co-infections, complementing the higher sensitivity of Illumina sequencing.
- Ongoing evaluation of sequencing technologies is crucial for effective SARS-CoV-2 surveillance amidst viral evolution.

