A systematic framework for using membrane metrics for strain engineering
نویسندگان
چکیده
The cell membrane plays a central role in the fitness and performance of microbial factories therefore it is an attractive engineering target. goal this work to develop systematic framework for identifying features use as targets. metrics that describe composition can be visualized “knobs” modulate various “outcomes”, such physical properties metabolic activity form growth productivity, with these relationships varying depending on condition. We generated set strains altered lipid via expression des, fabA fabB performed rigorous characterization knobs outcomes across several individual inhibitory conditions. Here, are relative abundance unsaturated lipids containing cyclic rings; average length, ratio linear non-linear (L/nL ratio). permeability, hydrophobicity, fluidity, specific rate. This identified significant correlations between were inhibitors, but also all tested For example, conditions, L/nL positively correlated surface length A subsequent analysis data inhibitors pairs predicted impact seven modeled scenarios two or more inhibitors. hydrophobicity highest frequency. experimentally validated prediction combined condition 42 °C, 2.5 mM furfural 2% v/v ethanol minimal media. Membrane was confirmed predictor production. demonstrates used predict biocatalysts single multiple possibly In manner, screening selection library- evolution-based strain engineering.
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ژورنال
عنوان ژورنال: Metabolic Engineering
سال: 2021
ISSN: ['1096-7176', '1096-7184']
DOI: https://doi.org/10.1016/j.ymben.2021.03.012