Proteomics

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Simultaneous Optimization of Multi-lignocellulosic-sugar Catabolism via Systematic Laboratory Evolution in Dynamic Conditions


ABSTRACT: The development of microbial bioproduction is challenged by the complexity and variability of industrial feedstocks. This study aimed to systematically and simultaneously optimize catabolism of multiple sugars present in common renewable lignocellulose by adaptive laboratory evolution (ALE) using dynamic selection regimes. The engineered strain, JE3692, was subjected to ALE using three dynamic regimes— a high sugar mixture (HSM), low sugar mixture (LSM), and glucose-xylose-arabinose (GXA) series—and was compared with static ALE protocols using individual sugars. Physiological characterization of evolved strains revealed that the LSM strategy yielded the most significant improvements in catabolic efficiency and growth rates under industrially relevant mixed sugar conditions. Genomic analysis identified key mutations in heterologous pathways that contributed to the enhanced catabolism of xylose and arabinose, while proteomic analysis linked these mutations to changes in protein expression profiles in the LSM1 strain. The LSM1 strain demonstrated superior performance in producing the value-added product indigoidine, highlighting the potential of dynamic ALE for developing robust microbial strains for industrial bioproduction using lignocellulosic biomass

INSTRUMENT(S):

ORGANISM(S): Pseudomonas Putida Kt2440

SUBMITTER: Christopher Petzold  

LAB HEAD: Christopher J. Petzold

PROVIDER: PXD055215 | Pride | 2026-06-29

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
JE3692_Glc-R1.raw Raw
JE3692_Glc-R2.raw Raw
JE3692_Glc-R3.raw Raw
JE3692_Glc-R4.raw Raw
JE3692_HSM-R1.raw Raw
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