2020
DOI: 10.1101/2020.05.14.096560
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A Molecular Mechanism for Probabilistic Bet-hedging and its Role in Viral Latency

Abstract: Probabilistic bet hedging, a strategy to maximize fitness in unpredictable environments by matching phenotypic variability to environmental variability, is theorized to account for the evolution of various fate-specification decisions, including viral latency. However, the molecular mechanisms underlying bet-hedging remain unclear. Here, we report that large variability in protein abundance within individual herpesvirus virion particles enables probabilistic bet hedging between viral replication and latency. S… Show more

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Cited by 7 publications
(7 citation statements)
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“…These findings collectively, and not surprisingly, indicate that the repression of gene expression for latency is multifactorial and complex. Despite the ability of the pp71 tegument protein to stimulate viral gene expression by antagonizing Daxx, pp71 fails to traffic to the nucleus and degrade Daxx in cells that support latency (Saffert et al, 2010 ), a restriction that is overcome by higher multiplicities of infection or virions with high levels of pp71 (Woodhall et al, 2006 ; Chaturvedi et al, 2020 ).…”
mentioning
confidence: 99%
“…These findings collectively, and not surprisingly, indicate that the repression of gene expression for latency is multifactorial and complex. Despite the ability of the pp71 tegument protein to stimulate viral gene expression by antagonizing Daxx, pp71 fails to traffic to the nucleus and degrade Daxx in cells that support latency (Saffert et al, 2010 ), a restriction that is overcome by higher multiplicities of infection or virions with high levels of pp71 (Woodhall et al, 2006 ; Chaturvedi et al, 2020 ).…”
mentioning
confidence: 99%
“…4i). Our inability to detect variations that are associated with induction of viral gene expression, likely reflects the relatively homogenous nature of the cells we used and therefore small differences in gene expression are likely masked by other factors, such as the amount of incoming virions which varies between cells 29 , or variability between the content of virions 30 , both which likely play a major role in setting infection outcome.…”
Section: Resultsmentioning
confidence: 99%
“…This possibly points to the ability to commence substantial viral DNA replication as the genuine step that determines infection outcome. The lack of a clear cellular gene expression signature that is associated with the initial increase in viral gene expression levels, indicates that in this experimental set-up, infection outcome is not dictated by variations in the cellular transcriptome and is likely mostly determined by the amount of infectious virus entering the cell 29 , which will have significant consequences on the initial induction of viral gene transcription or possibly by variability between virion particles 30 .…”
Section: Discussionmentioning
confidence: 97%
“…Various molecular mechanisms exist to constitutively generate phenotypic heterogeneity for a given genotype, allowing organisms to persist in fluctuating environments [18]. Well-characterized examples of bet-hedging include persisters in bacteria [19], and viral latency [20]. A bet-hedging strategy is not exclusive and heterogeneity can be fine-tuned by phenotypic plasticity, such as in amphicarpic annual seeds [21].…”
Section: Variable Environments: Phenotypic Plasticity and Bet-hedgingmentioning
confidence: 99%