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Application

Rebuilding evolutionary success: Using Inscripta’s Onyx Digital Genome Engineering Platform to ease and enhance Adaptive Laboratory Evolution experiments

Inscripta

Aug 11, 2021

Abstract

Adaptive Laboratory Evolution (ALE) is a powerful approach to leverage biology’s evolutionary capacity to develop strains that thrive in challenging growth environments, with applications to biotechnology and bioproduction and for basic biochemical discovery. ALE experiments have been enabled by nextgeneration sequencing (NGS) technologies, allowing for rapid and high-throughput analysis of the genetic diversity that arises naturally during growth selection in the desired environment. However, ALE experiments can be time consuming and laborious and prone to technical challenges. Traditional ALE strategies require serial dilution and harvesting cycles that can last from weeks to decades and are typically followed up by strain construction for validation of growth phenotypes. Traditional ALE experiments are often founded using a clonal parent strain, which can constrain available evolutionary paths and discoverable diversity by virtue of the allowable mutations naturally accessible to that starting strain. In addition, ALE may result in a mutational load that contains “passive” changes to the genome that limit future optimization. In this context, new technologies capable of rapidly recapitulating discovered mutations or programming new starting diversity could benefit ALE experimentation by accelerating the experimental workflow and providing access to greater genetic diversity.

Application File

ALE application note Inscripta 1002068RevA.pdf

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