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Résumé |
Microbes in fluctuating environments must balance rapid growth against fast
adaptation (short lag times). Using proteome allocation models, we show evolution
drives populations to an evolutionary stable strategy that optimally balances this
trade-off. In predictable environments, populations evolve to "learn" statistical
patterns by pre-allocating their proteome according to environmental transition
probabilities. This demonstrates how microbes can use the proteome as a memory to
encode and exploit environmental patterns without neural computation. |
