SIGHT—A System for Solvent‐Tight Incubation and Growth Monitoring in High Throughput

ABSTRACT Physiological characterization of microorganisms in the context of solvent tolerance is a tedious process with a high investment of manual labor while often being limited in throughput capability simultaneously. Therefore, we developed a small‐scale solvent‐impervious cultivation system con...

Full description

Saved in:
Bibliographic Details
Main Authors: Jakob Rönitz, Felix Herrmann, Benedikt Wynands, Tino Polen, Nick Wierckx
Format: Article
Language:English
Published: Wiley-VCH 2025-02-01
Series:Engineering in Life Sciences
Subjects:
Online Access:https://doi.org/10.1002/elsc.202400037
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:ABSTRACT Physiological characterization of microorganisms in the context of solvent tolerance is a tedious process with a high investment of manual labor while often being limited in throughput capability simultaneously. Therefore, we developed a small‐scale solvent‐impervious cultivation system consisting of screw cap‐sealed glass vials in combination with a 3D‐printed vial holder for the Growth Profiler (EnzyScreen) platform. Components and cultivation conditions were empirically tested, and a suitable setup was found for the intended application. To demonstrate the capability of this cultivation system, an adaptive laboratory evolution was performed to further increase the tolerance of Pseudomonas taiwanensis GRC3 toward styrene. This approach yielded heterogenic cultures with improved growth performances in the presence of styrene from which individual clones were isolated and characterized in high throughput. Several clones with improved growth in the presence of 1% (v/v) styrene were analyzed through whole‐genome sequencing, revealing mutations in the co‐chaperone‐encoding gene dnaJ, RNA polymerase α subunit‐encoding gene rpoA, and loss‐of‐function mutations in the ttgGHI solvent efflux pump repressor encoded by ttgV. The developed cultivation system has proven to be a very useful extension of the Growth Profiler, as it reduces manual workload and allows high‐throughput characterization.
ISSN:1618-0240
1618-2863