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Biology subjects

Drayman, N.

Publications and source records attributed to Drayman, N..

2 recordsLinked to original sources

Recombination between co-infecting herpesviruses occurs where replication compartments coales

Homologous recombination (HR) is considered a major driving force of evolution since it generates and expands genetic diversity. Evidence of HR between co-infecting herpesvirus DNA genomes can be found frequently, both in vitro and in clinical isolates. Each herpes simplex virus type 1 (HSV-1) replication compartment (RC) derives from a single incoming genome and maintains a specific territory within the nucleus. This raises intriguing questions about where and when co-infecting viral genomes interact. To study the spatiotemporal requirements for inter-genomic recombination, we developed an assay with dual-color fluorescence in situ hybridization which enables detection of HR between different pairs of co-infecting HSV-1 genomes. Our results revealed that when viral RCs enlarge towards each other, there is detectable overlap between territories of genomes from each virus. Infection with paired viruses that allow visualization of HR correlates with increased overlap of RCs. Further, inhibition of RC movement reduces the rate of HR events among co-infecting viruses. Taken together, these findings suggest that inter-genomic HR events take place during replication of HSV-1 DNA and are mainly confined to the periphery of RCs when they coalesce. Our observations have implications on understanding the recombination restrictions of other DNA viruses and cellular DNA.

microbiology

Dynamic proteomics of HSV1 infection reveals molecular events that govern non-stochastic infection outcomes

Viral infection is usually studied at the level of cell populations, averaging over hundreds of thousands of individual cells. Moreover, measurements are typically done by analyzing a few time points along the infection process. While informative, such measurements are limited in addressing how cell variability affects infection outcome. Here we employ dynamic proteomics to study virus-host interactions, using the human pathogen Herpes Simplex virus 1 as a model. We tracked >50,000 individual cells as they respond to HSV1 infection, allowing us to model infection kinetics and link infection outcome (productive or not) with the cell state at the time of initial infection. We find that single cells differ in their preexisting susceptibility to HSV1, and that this is partially mediated by their cell-cycle position. We also identify specific changes in protein levels and localization in infected cells, attesting to the power of the dynamic proteomics approach for studying virus-host interactions.

systems biology