This repository contains configuration files and reference materials for RSV wastewater data analysis using V-pipe.
- Path:
workflow/configuration/
- Configuration files for RSV analysis using V-pipe.
samples.tsv
files are available.
Reference genomes used for RSV analysis:
- RSV-A: hRSV/A/England/397/2017 (GISAID accession no. EPI_ISL_412866)
- RSV-B: HRSV/B/AUS/VIC-RCH056/2019 (GISAID accession no. EPI_ISL_1653999)
- File Location:
workflow/references/concat_EPI_ISL_412866_EPI_ISL_1653999.fasta
- RSV-A:
workflow/references/primers/RSV-A/
- RSV-B:
workflow/references/primers/RSV-B/
- General Analysis (Subtype Independent):
utilities/shared/
- RSV-A Specific Analysis:
utilities/shared/RSV_A_analysis/
- RSV-B Specific Analysis:
utilities/shared/RSV_B_analysis/
- Downstream Analysis (
envs/downstream_analysis.yml
) annotate_vcf.py
extract_coverage_RSV_Vpipe.py
make_mutation_tsv.py
make_tallymut.py
- Lineage deconvolution (
envs/lollipop.yml
) - Data visualization (
envs/data_viz.yml
) coverage_plots.py
mutation_heatmap_aa.py
relative_abundances_rsva.py
,relative_abundances_rsvb.py
- File Location:
preprint/plots/
This study explores the potential of wastewater-based genomic surveillance for tracking RSV lineages and identifying key mutations. Given the importance of the RSV F gene in vaccine and therapeutic strategies, our findings highlight the value of wastewater as a complementary approach for monitoring RSV evolution.
If you use this repository in your research, please cite:
Wastewater-based sequencing of Respiratory Syncytial Virus enables tracking of lineages and identifying mutations at antigenic sites.
Jolinda de Korne-Elenbaas, Auguste Rimaite, Ivan Topolsky, David Dreifuss, Charlyne Bürki, Lara Fuhrmann, Louis du Plessis, William J. Fitzsimmons, Emily E. Bendall, Tanja Stadler, Niko Beerenwinkel, Timothy R Julian; MedRxiv, 2025, https://doi.org/10.1101/2025.02.28.25321637