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• W4386815601 abstract "Evolution in a static environment, such as a laboratory setting with constant and uniform conditions, often proceeds via large-effect beneficial mutations that may become maladaptive in other environments. Conversely, natural settings require populations to endure environmental fluctuations. A sensible assumption is that the fitness of a lineage in a fluctuating environment is the time-average of its fitness over the sequence of static conditions it encounters. However, transitions between conditions may pose entirely new challenges, which could cause deviations from this time-average. To test this, we tracked hundreds of thousands of barcoded yeast lineages evolving in static and fluctuating conditions and subsequently isolated 900 mutants for pooled fitness assays in 15 environments. We find that fitness in fluctuating environments indeed often deviates from the expectation based on static components, leading to fitness non-additivity. Moreover, closer examination reveals that fitness in one component of a fluctuating environment is often strongly influenced by the previous component. We show that this environmental memory is especially common for mutants with high variance in fitness across tested environments, even if the components of the focal fluctuating environment are excluded from this variance. We employ a simple mathematical model and whole-genome sequencing to propose mechanisms underlying this effect, including lag time evolution and sensing mutations. Our results demonstrate that environmental fluctuations have large impacts on fitness and suggest that variance in static environments can explain these impacts." @default.
• W4386815601 created "2023-09-18" @default.
• W4386815601 creator A5047895516 @default.
• W4386815601 creator A5073659297 @default.
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• W4386815601 date "2023-09-16" @default.
• W4386815601 modified "2023-10-17" @default.
• W4386815601 title "Strong environmental memory revealed by experimental evolution in static and fluctuating environments" @default.
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• W4386815601 doi "https://doi.org/10.1101/2023.09.14.557739" @default.
• W4386815601 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37745585" @default.
• W4386815601 hasPublicationYear "2023" @default.
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