Multi-phenotype analysis for enhanced classification of 11 herpes simplex virus 1 strains.

ABSTRACT: Herpes simplex virus 1 (HSV1) is best known for causing oral lesions and mild clinical symptoms, but it can produce a significant range of disease severities and rates of reactivation. To better understand this phenotypic variation, we characterized 11 HSV1 strains that were isolated from individuals with diverse infection outcomes. We provide new data on genomic and in vitro plaque phenotype analysis for these isolates and compare these data to previously reported quantitation of the disease phenotype of each strain in a murine animal model. We show that integration of these three types of data permitted clustering of these HSV1 strains into four groups that were not distinguishable by any single dataset alone, highlighting the benefits of combinatorial multi-parameter phenotyping.

SUBMITTER: Dweikat SN 

PROVIDER: S-EPMC10019087 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature