Adaptive Cell Evolution via Parallel Culture Segmentation
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Solution Overview
Problem
Current methods for adaptive evolution of living cells are time-consuming and inefficient in achieving desired phenotypes, particularly when multiple phenotypic traits are required, as they often rely on sequential selection regimes that limit genetic diversity and are difficult to implement for complex phenotypes.
Innovation Solution
A method involving continuous culture of living cells in multiple vessels with varying selective regimes, where suspensions from different vessels are mixed and redistributed to apply progressive selective pressure, allowing for parallel and multiplexed selection of cells with desired phenotypes, thereby accelerating the acquisition of targeted traits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If sequential selection regimes are used to improve multiple phenotypic traits, then selection pressure can be applied to each trait individually, but the process becomes time-consuming and genetic diversity is limited
Solution Approach 1:
The invention divides the selection process into multiple parallel culture vessels, each subjected to different selective regimes targeting specific phenotypic traits. This segmentation allows simultaneous evolution of multiple traits without sequential dependency, reducing total evolution time while maintaining selection precision for each trait.
Solution Approach 2:
The invention transitions from sequential (one-dimensional time-based) selection to parallel multi-dimensional selection by applying different selective pressures simultaneously in multiple vessels. This dimensional expansion enables concurrent improvement of multiple phenotypic traits, overcoming the time penalty of sequential approaches.
2Manufacturing precision
If sequential selection regimes are used, then selection pressure can be optimized for each trait, but implementing complex phenotypes becomes difficult and tedious
Solution Approach 1:
By segmenting the population into multiple independent culture vessels, each vessel can be optimized for a specific phenotypic trait while maintaining overall system manageability. This segmentation simplifies the implementation of complex phenotype selection by breaking down the complexity into parallel, independent selection modules rather than sequential complex steps.
Solution Approach 2:
The invention applies selective pressure to multiple traits simultaneously across different vessels, using partial selection regimes that can be independently optimized. This approach reduces the complexity of implementing complex phenotypes by allowing parallel, modular selection rather than requiring coordinated sequential optimization of multiple traits.
3Productivity
If too much selection pressure is applied, then desired phenotypes can be selected more efficiently, but genetic diversity that can emerge through spontaneous mutations is limited
Solution Approach 1:
The invention segments the population across multiple culture vessels, allowing different levels of selection pressure to be applied to different traits simultaneously. This segmentation enables high selection pressure for desired phenotypes in each vessel while maintaining overall genetic diversity through the parallel evolution of multiple independent populations, each experiencing optimized selection for its target trait.
Data Source
AI summary
The present application relates to a method for adaptive evolution of living cells by continuous culture of said living cells.