Pleiotropic Mutations Can Rapidly Evolve to Directly Benefit Self and Cooperative Partner Despite Unfavorable Conditions
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Cooperation, paying a cost to benefit others, is widespread. Cooperation can be promoted by pleiotropic 'win-win' mutations which directly benefit self (self-serving) and partner (partner-serving). Previously, we showed that partner-serving should be defined as increased benefit supply rate per intake benefit. Here, we report that win-win mutations can rapidly evolve even under conditions unfavorable for cooperation. Specifically, in a well-mixed environment we evolved engineered yeast cooperative communities where two strains exchanged costly metabolites, lysine and hypoxanthine. Among cells that consumed lysine and released hypoxanthine, mutations repeatedly arose. is self-serving, improving self's growth rate in limiting lysine. is also partner-serving, increasing hypoxanthine release rate per lysine consumption and the steady state growth rate of partner and of community. also arose in monocultures evolving in lysine-limited chemostats. Thus, even without any history of cooperation or pressure to maintain cooperation, pleiotropic win-win mutations may readily evolve to promote cooperation.
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Chen V, Johnson M, Herissant L, Humphrey P, Yuan D, Li Y Elife. 2023; 12.
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Evolutionary repeatability of emergent properties of ecological communities.
Venkataram S, Kryazhimskiy S Philos Trans R Soc Lond B Biol Sci. 2023; 378(1877):20220047.
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Data-driven causal analysis of observational biological time series.
Yuan A, Shou W Elife. 2022; 11.
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