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A Timeframe for SARS-CoV-2 Genomes: A Proof of Concept for Postmortem Interval Estimations
Jacobo Pardo-Seco1,2,3,4, Xabier Bello1,2,3,4, Alberto Gómez-Carballa1,2,3,4
1Grupo de Investigacion en Genética, Vacunas, Infecciones y Pediatría (GENVIP), Hospital Clínico Universitario, Universidade de Santiago de Compostela, 15706 Santiago de Compostela, Galicia, Spain.
International Journal of Molecular Sciences
|November 11, 2022
Summary
Predicting a virus
Area of Science:
- Genomics
- Virology
- Bioinformatics
Background:
- Determining viral circulation timelines is crucial for microbiology and legal medicine.
- Phylogenetic analysis offers a method to estimate these timeframes.
Purpose of the Study:
- To develop and validate a method for predicting the circulation timeframe of SARS-CoV-2 genomes.
- To assess the accuracy and applicability of phylogenetic models for viral dating.
Main Methods:
- Utilized simulations with a phylogenetic model and a robust SARS-CoV-2 reference genome database.
- Modeled evolutionary rates (~10^-3 substitutions/nucleotide/year) and mutational differences.
- Applied Viral Molecular Clock Dating (VMCD) to estimate timeframes.
Main Results:
- The phylogenetic model accurately predicts the estimated time of a queried genome (tE-QG).
- VMCD method provides precise estimates with narrow intervals (days to weeks).
- The approach is effective for timeframes extending back approximately one month.
Conclusions:
- Phylogenetic modeling is a reliable tool for estimating viral circulation timeframes.
- The method is applicable to SARS-CoV-2 and potentially other microorganisms with sufficient genomic data.
- Applications include epidemiology, microbiology, and forensic science, such as postmortem interval estimation.
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