Abstract Synonymous mutations in a protein coding gene lead to a remarkably similar average “collateral” mutation effect size across alternative reading frames (1). Here we quantify the rarity of this feature among possible block structure codes as 0.77%. Then we develop a simple model of evolutionary search with two types of mutation. Across different mutation step sizes and ratios of the two types, the fitness-maximizing region corresponds to using a single average mutation value. The analogous constant average collateral mutation effect observed for the standard genetic code may likewise facilitate evolutionary search in alternative frame sequences.
Highly Similar Average Collateral Effect of Synonymous Mutations Across Alternative Reading Frames: A Potential Role In Evolvability
Stefan Wichmann,Zachary Ardern
Published 2023 in BioCosmos
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2023
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BioCosmos
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2023-01-01
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