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Development and Evaluation of an ARTIC-Based Amplicon Sequencing Assay for Whole-Genome Characterization of Respiratory Syncytial Virus

Smith, K.; Martinez, J.; Yu, H.; Harrison, J.; Umunna, C.; Bertrand, B.; Heck, M.; Kersh, E. N.; Balakrishnan, N.; Parrott, T.; Ramaiah, A.

2026-04-07 infectious diseases
10.64898/2026.04.06.26350258 medRxiv
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Respiratory syncytial virus (RSV), an approximately 15.2 kb negative sense RNA virus, causes acute respiratory infections in infants and older adults. Its two subtypes, RSV/A and RSV/B, evolve rapidly, making ongoing monitoring of circulating strains essential. The Georgia Public Health Laboratory (GPHL) developed and evaluated an amplicon-based whole-genome sequencing (WGS) assay for RSV surveillance. A total of 214 deidentified remnant clinical specimens (102 RSV/A; 112 RSV/B) with RT PCR Ct values <31 were included. RSV genomes were amplified using ARTIC style and custom primer sets, with the ARTIC set showing superior performance. Libraries were prepared using a modified Illumina COVIDSeq protocol, sequenced on NextSeq 1000/2000 instruments, and analyzed using the GPHL-RSV-PIPE bioinformatics pipeline. Among genomes meeting validation criteria, sequencing depth was slightly higher for RSV/A (median 53,433x; mean 51,076x) than RSV/B (median 49,699x; mean 46,945x), whereas genomic coverage was slightly lower for RSV/A (median 97.5%; mean 96.6%) than RSV/B (median 98.3%; mean 97.6%). Predominant lineages were A.D.3.1 and A.D.5.2 for RSV/A and B.D.E.1 for RSV/B. For RSV/A, the assay showed 92.8% accuracy, 96.2% sensitivity, 87.2% specificity, 92.6% positive predictive value, and 93.2% negative predictive value. Intra and inter run precision assessed using 16 and 53-57 genomes, respectively, showed nearly 100% consensus genome identity with 0 to 5 nucleotide differences. Specificity testing of 31 non-RSV specimens produced no false-positive detections. These results demonstrate that the ARTIC-based RSV WGS assay enables near real time surveillance and strengthens data driven public health responses to future outbreaks.

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