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Metapopulation structure selects for IFN shutdown
MEFs in a 96-well format were inoculated with a limiting dilution of an approximately 1:1 mix of the WT and a NmAb-resistant Δ51 virus. Titres produced by each variant in each well were determined by the plaque assay. Left, Box plots of the WT and Δ51 titres in wells showing only one variant (pure; n = 20 for WT and n = 35 for Δ51) or a mixture of the two variants (mixed; n = 16). The lower and upper limits of the box indicate the twenty-fifth and seventy-fifth percentiles and the middle line shows the median. Whiskers show the tenth and ninetieth percentiles and outlying points are plotted individually. Middle, titres produced in each individual well. Right, overall WT and Δ51 yield in the metapopulation (sum of all wells).

Metapopulation structure selects for IFN shutdown MEFs in a 96-well format were inoculated with a limiting dilution of an approximately 1:1 mix of the WT and a NmAb-resistant Δ51 virus. Titres produced by each variant in each well were determined by the plaque assay. Left, Box plots of the WT and Δ51 titres in wells showing only one variant (pure; n = 20 for WT and n = 35 for Δ51) or a mixture of the two variants (mixed; n = 16). The lower and upper limits of the box indicate the twenty-fifth and seventy-fifth percentiles and the middle line shows the median. Whiskers show the tenth and ninetieth percentiles and outlying points are plotted individually. Middle, titres produced in each individual well. Right, overall WT and Δ51 yield in the metapopulation (sum of all wells).

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Antiviral immunity has been studied extensively from the perspective of virus−cell interactions, yet the role of virus−virus interactions remains poorly addressed. Here, we demonstrate that viral escape from interferon (IFN)-based innate immunity is a social process in which IFN-stimulating viruses determine the fitness of neighbouring viruses. We...

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... These findings suggest that viral evolution is driven by multiple complex mechanisms rather than a single process. It is a non-linear dynamics influenced by successive selection challenges specific to different stages of infection or epidemic spread [15], involving mechanisms common across various life forms [16,15]. ...
... Some studies have linked this phenomenon to cross-immunoreactivity, explaining prolonged stasis in immune escape and the coexistence of intra-host variant clusters [19,20]. More recent studies propose that specific cooperative interactions among viral variants [21,22,16,15] allow viral populations to adapt as quasi-social systems [16]. ...
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... Error threshold in real is exploring the limits of variant possibilities until the end. However, surprisingly, the end does not exist because, unless the mutational input becomes unbearably high due to externally introduced mutagenic agents, quasispecies cooperation and competition always succeed (Domingo-Calap et al. 2019). This is important for virus-host co-evolution because, principally, it opens new ways of adaptation to whatever will happen in the real-life world. ...
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... Yet, it has provided the impetus that has driven the study of social behavior since Charles Darwin. Altruism has been widely studied in eukaryotes [15][16][17][18][19][20], prokaryotes [21][22][23][24] and viruses [25], and is thought to underlie the biological success of highly social organisms such as social bees, ants, termites and social wasps, which together account for 75% of the world's total insect biomass [26]. Despite its ubiquitous observations, little is understood about altruism in the context of cancer cells [27,28], where its occurrence can be even more puzzling. ...
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