Phage-Assisted Evolution with Dynamic Stringency and Negative Selection
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Solution Overview
Problem
Existing laboratory methods for directed evolution of biomolecules are labor-intensive and limited to a modest number of cycles, hindering the development of molecules with diverse and specific properties, while continuous evolution systems lack generalizability and effective selection strategies.
Innovation Solution
A phage-assisted continuous evolution (PACE) system that allows for continuous mutagenesis, replication, and selection of biomolecules, incorporating stringency modulation and negative selection to evolve molecules with altered properties, using viral vectors and small molecule inducers to control selection pressure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional discrete directed evolution cycles are used, then selection precision is improved, but productivity deteriorates due to labor-intensive manual intervention
Solution Approach 1:
The system employs phage particles that autonomously perform mutation, replication, and selection functions. The phage display library continuously evolves through self-replication in host cells, with selection occurring automatically based on binding affinity to the target antigen, eliminating the need for manual intervention in each evolution cycle.
Solution Approach 2:
The evolution process operates continuously rather than in discrete cycles. Phage particles remain in constant circulation, undergoing repeated rounds of mutation and selection simultaneously, allowing dozens of evolution cycles to occur within a single day without interrupting the process for manual harvesting and re-inoculation.
2Manufacturing precision
If high selection stringency is applied, then manufacturing precision of desired properties is improved, but adaptability deteriorates as weakly active variants cannot access favorable mutations
Solution Approach 1:
The selection stringency is made dynamic rather than static. The system automatically adjusts selection pressure based on the evolving phage population's characteristics, allowing weakly active variants to survive initially and accumulate mutations, then progressively increasing stringency as the population evolves toward higher affinity binders.
Solution Approach 2:
The system changes selection parameters over time by controlling phage replication conditions, host cell density, and incubation parameters. This temporal variation in selection parameters enables the system to first explore diverse sequence space with lower stringency, then converge on high-specificity binders with increased stringency.
3Productivity
If continuous evolution without negative selection is used, then productivity is improved, but manufacturing precision deteriorates due to accumulation of undesired properties
Solution Approach 1:
Negative selection is applied proactively to counteract the accumulation of undesired properties before they compromise the evolution process. Phage variants exhibiting off-target binding or unwanted characteristics are selectively removed through competitive binding assays or FACS sorting against control antigens, preventing these variants from dominating the population.
4Measurement precision
If discrete cycles with manual intervention are used, then selection precision is improved, but loss of time increases due to labor-intensive operations
Solution Approach 1:
Manual mechanical operations are replaced with automated biological and computational systems. Phage replication, mutation, and selection occur automatically in liquid culture systems, while high-throughput sequencing and bioinformatics algorithms automatically analyze evolution outcomes and guide subsequent rounds, eliminating time-consuming manual harvesting, plating, and screening steps.
Data Source
AI summary
Strategies, systems, methods, reagents, and kits for phage-assisted continuous evolution are provided herein. These include strategies, systems, methods, reagents, and kits allowing for stringency modulation to evolve weakly active or inactive biomolecule variants, negative selection of undesired properties, and/or positive selection of desired properties.


