<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Favate JS</submitter><funding>NIGMS NIH HHS</funding><pubmed_abstract>Changes in an organism's environment, genome, or gene expression patterns can lead to changes in its metabolism. The metabolic phenotype can be under selection and contributes to adaptation. However, the networked and convoluted nature of an organism's metabolism makes relating mutations, metabolic changes, and effects on fitness challenging. To overcome this challenge, we use the Long-Term Evolution Experiment (LTEE) with &lt;i>E. coli&lt;/i> as a model to understand how mutations can eventually affect metabolism and perhaps fitness. We used mass-spectrometry to broadly survey the metabolomes of the ancestral strains and all 12 evolved lines. We combined this metabolic data with mutation and expression data to suggest how mutations that alter specific reaction pathways, such as the biosynthesis</pubmed_abstract><journal>bioRxiv : the preprint server for biology</journal><pagination>2023.02.15.528756</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9985142</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Linking genotypic and phenotypic changes in the &lt;i>E. coli&lt;/i> Long-Term Evolution Experiment using metabolomics.</pubmed_title><pmcid>PMC9985142</pmcid><funding_grant_id>R35 GM147566</funding_grant_id><funding_grant_id>R35 GM124976</funding_grant_id><pubmed_authors>Shah P</pubmed_authors><pubmed_authors>Yadavalli SS</pubmed_authors><pubmed_authors>Favate JS</pubmed_authors><pubmed_authors>Su X</pubmed_authors><pubmed_authors>Skalenko KS</pubmed_authors><pubmed_authors>Chiles E</pubmed_authors></additional><is_claimable>false</is_claimable><name>Linking genotypic and phenotypic changes in the &lt;i>E. coli&lt;/i> Long-Term Evolution Experiment using metabolomics.</name><description>Changes in an organism's environment, genome, or gene expression patterns can lead to changes in its metabolism. The metabolic phenotype can be under selection and contributes to adaptation. However, the networked and convoluted nature of an organism's metabolism makes relating mutations, metabolic changes, and effects on fitness challenging. To overcome this challenge, we use the Long-Term Evolution Experiment (LTEE) with &lt;i>E. coli&lt;/i> as a model to understand how mutations can eventually affect metabolism and perhaps fitness. We used mass-spectrometry to broadly survey the metabolomes of the ancestral strains and all 12 evolved lines. We combined this metabolic data with mutation and expression data to suggest how mutations that alter specific reaction pathways, such as the biosynthesis</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 May</publication><modification>2025-08-16T03:06:17.517Z</modification><creation>2025-04-05T18:34:29.037Z</creation></dates><accession>S-EPMC9985142</accession><cross_references><pubmed>36874203</pubmed><doi>10.1101/2023.02.15.528756</doi></cross_references></HashMap>