Gene regulatory architecture in antibiotic resistance is optimized for specific dynamic regimens

Strong drug exposures favor constitutive expression of antibiotic resistance, while high costs of basal expression favor repression by a constitutively expressed repressor, in a dynamical transcriptional-repressor model.

• Why it matters: Antibiotic resistance must balance rapid deployment against costly expression without drug, but it is unclear how exposure dynamics select regulatory architectures.
• What they did: The authors built an in silico dynamical model with a drug-sensing transcriptional repressor controlling resistance protein expression, then optimized promoter/operator parameters using a time-weighted cost function across three architectures.
• The result: Self-regulation of the repressor is favored only when protection must be paired with restraint of resistance overexpression, and stochastic simulations show it buffers repressor-level fluctuations that otherwise cause mistimed induction.

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