Inferring Viral Transmission Pathways from Within-Host Variation.
Ontology highlight
ABSTRACT:
SUBMITTER: Specht IOA
PROVIDER: S-EPMC10593003 | biostudies-literature | 2023 Oct
REPOSITORIES: biostudies-literature
Publications
Inferring Viral Transmission Pathways from Within-Host Variation.
Specht Ivan O A IOA Petros Brittany A BA Moreno Gage K GK Brock-Fisher Taylor T Krasilnikova Lydia A LA Schifferli Mark M Yang Katherine K Cronan Paul P Glennon Olivia O Schaffner Stephen F SF Park Daniel J DJ MacInnis Bronwyn L BL Ozonoff Al A Fry Ben B Mitzenmacher Michael D MD Varilly Patrick P Sabeti Pardis C PC
medRxiv : the preprint server for health sciences 20231015
Genome sequencing can offer critical insight into pathogen spread in viral outbreaks, but existing transmission inference methods use simplistic evolutionary models and only incorporate a portion of available genetic data. Here, we develop a robust evolutionary model for transmission reconstruction that tracks the genetic composition of within-host viral populations over time and the lineages transmitted between hosts. We confirm that our model reliably describes within-host variant frequencies ...[more]
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Project description:Growth temperature alters the within-host competition of viral strains and differentially influences virus genetic variation
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