Metabolomics

Dataset Information

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MS profiling of the Long Term Evolution Experiment


ABSTRACT: The metabolome of a cell is the integration point of an organism's environment, genetics, and gene expression pattern. The metabolic phenotype can be under selection and is known to contribute to adaption. However, the metabolome's inherent networked and convoluted nature makes relating mutations, metabolic changes, and effects on fitness challenging. To overcome this challenge, we use the Long Term Evolution Experiment (LTEE) as a model to understand how mutations can transduce themselves through a cellular network, eventually affecting metabolism and perhaps fitness. We used mass-spectropscopy to broadly survey the metabolomes of both ancestors and all 12 evolved lines and combined this with genomic and expression data to suggest how mutations that alter specific reaction pathways, such as the biosynthesis of nicotinamide adenine dinucleotide, might increase fitness in the system. Our work brings the field closer to a complete genotype-phenotype map for the LTEE and a better understanding of how mutations might affect fitness through the metabolome. We used mass-spectroscopy to profile metabolic changes in the Long Term Evolution Experiment and link these change to upstream changes in gene expression and mutations.

ORGANISM(S): Escherichia Coli E. Coli

TISSUE(S): Bacterial Cells

SUBMITTER: John Favate  

PROVIDER: ST002431 | MetabolomicsWorkbench | Thu Dec 01 00:00:00 GMT 2022

REPOSITORIES: MetabolomicsWorkbench

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