Accelerating strain phenotyping with desorption electrospray ionization-imaging mass spectrometry and untargeted analysis of intact microbial colonies
Year: 2021
Type: article
Abstract: Progress in the fields of genomic and biologic sciences has yielded microbial bioprocesses for the advanced production of chemicals. While biomanufacturing has the potential to address global demands for renewable fuels and chemicals, engineering microbial cell factories that can compete with synthetic chemical processes remains a challenge. Optimizing strains for enhanced chemical production is no longer limited by reading and writing DNA, rather it is impeded by the lack of high-throughput platforms for characterizing the metabolic phenotypes resulting from specific gene editing events. To address this issue, we have developed a desorption electrospray ionization- imaging mass spectrometry (DESI-IMS) screening assay that is conducive to both multiplexed sampling and untargeted analyses. This technology bridges the gap between genomic and metabolomic timescales by simultaneously characterizing the chemical output of various engineered Escherichia coli strains rapidly and directly under ambient conditions. The developed method was used to phenotype four E. coli strains on the basis of measured metabolomes, which were validated via PCR genotyping. Untargeted DESI-IMS phenotyping suggests multiple strategies for future engineering which include: (i) relative amounts of specific biosynthetic products, (ii) identification of secondary products, and (iii) the metabolome of engineered organisms. In sum, we present a workflow to accelerate strain engineering by providing rapid, untargeted, and multiplexed analyses of microbial metabolic phenotypes.
Language: English
Subfield: Spectroscopy
Field: Chemistry
Domain: Physical Sciences
Open Access status: green
Awards: Regulation and Significance of Sustained Circadian Oscillations, Circadian Programs in Bacteria, SYSTEMS BIOLOGY TO ENABLE MODULAR METABOLIC ENGINEERING OF FATTY ACID PRODUCTION IN CYANOBACTERIA, New Methodologies for Accelerating Natural Product Discovery, G3771339056, FLORIDA A&M UNIVERSITY SPHEROMAK TURBULENT PLASMA EXPERIMENT (STPX) IN COLLABORATION WITH WEST VIRGINIA UNIVERSITY - PR # 09CH11562, Ion mobility based informatics and visualization strategies in support of metabolomics, RAPID FLUX PHENOTYPING TO ACCELERATE METABOLIC ENGINEERING OF CYANOBACTERIA, Ecological determinants of natural product synthesis in cave myxobacteria, Circadian Programs in Bacteria, G8998051787
OpenAlex ID: W3214894293
