Constraints on the optimization of gene product diversity DOI Creative Commons
Daohan Jiang,

Nevraj S. Kejiou,

Yi Qiu

et al.

Molecular Systems Biology, Journal Year: 2025, Volume and Issue: unknown

Published: April 10, 2025

Abstract RNA and proteins can have diverse isoforms due to post-transcriptional post-translational modifications. A fundamental question is whether these are mostly beneficial or the result of noisy molecular processes. To assess plausibility explanations, we developed mathematical models depicting different regulatory architectures investigated isoform evolution under multiple population genetic regimes. We found that factors beyond selection, such as effective size number cis -acting loci, significantly influence evolutionary outcomes. sub-optimal phenotypes more likely evolve when populations small and/or -loci large. also discovered opposing selection on - trans loci constrain adaptation, leading a non-monotonic relationship between optimization. More generally, our provide quantitative framework for developing statistical tests analyze empirical data; demonstration this, analyzed A-to-I editing levels in coleoids be largely consistent with non-adaptive explanations.

Language: Английский

Constraints on the optimization of gene product diversity DOI Creative Commons
Daohan Jiang,

Nevraj S. Kejiou,

Yi Qiu

et al.

Molecular Systems Biology, Journal Year: 2025, Volume and Issue: unknown

Published: April 10, 2025

Abstract RNA and proteins can have diverse isoforms due to post-transcriptional post-translational modifications. A fundamental question is whether these are mostly beneficial or the result of noisy molecular processes. To assess plausibility explanations, we developed mathematical models depicting different regulatory architectures investigated isoform evolution under multiple population genetic regimes. We found that factors beyond selection, such as effective size number cis -acting loci, significantly influence evolutionary outcomes. sub-optimal phenotypes more likely evolve when populations small and/or -loci large. also discovered opposing selection on - trans loci constrain adaptation, leading a non-monotonic relationship between optimization. More generally, our provide quantitative framework for developing statistical tests analyze empirical data; demonstration this, analyzed A-to-I editing levels in coleoids be largely consistent with non-adaptive explanations.

Language: Английский

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