mutation generation by retron-based recombineering
Selection basis: Broad exploration of fitness landscapes by introducing point mutations, insertions, and deletions.
Enriches for: sequence diversity, fitness landscape exploration
First-pass extracted concept
Aliases
framework for the directed evolution of programmable allosteric switches in vivo, phage-assisted evolution
Workflow Stage Observations
Selection basis: Broad exploration of fitness landscapes by introducing point mutations, insertions, and deletions.
Enriches for: sequence diversity, fitness landscape exploration
Selection basis: Opposing selection pressures were applied to enhance activity and switchability of phage-encoded effectors.
Higher fidelity: yes
Enriches for: activity, switchability
Preserves downstream axes: allosteric switching behavior
Selection basis: High-resolution tracking of evolving variant pools to reveal adaptive trajectories and context-dependent residue interactions.
Higher fidelity: yes
Enriches for: trajectory resolution, variant pool tracking
Evidence Snippets
Supporting Sources
Linked Claims
Long-read sequencing across selection cycles enabled high-resolution tracking of evolving variant pools and revealed adaptive trajectories and context-dependent residue interactions.
Long-read sequencing across selection cycles enabled high-resolution tracking of evolving variant pools, revealing adaptive trajectories and context-dependent residue interactions.
The platform applies opposing selection pressures to enhance activity and switchability of phage-encoded effectors.
It applies opposing selection pressures to enhance activity and switchability of phage-encoded effectors
The platform leverages retron-based recombineering to broadly explore fitness landscapes by introducing point mutations, insertions, and deletions.
leverages retron-based recombineering to broadly explore fitness landscapes, introducing point mutations, insertions, and deletions
The paper introduces a phage-assisted evolution platform for in vivo optimization of allosteric proteins.
Here, we introduce a phage-assisted evolution platform for in vivo optimization of allosteric proteins.
Applying the framework to AraC yielded near-binary optogenetic switches with light-controlled activity spanning approximately 1,000-fold dynamic range.
Applying this framework to the transcription factor AraC yielded near-binary optogenetic switches, with light-controlled activity spanning ∼1,000-fold dynamic range.