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Linking genotypic and phenotypic changes in the E. coli long-term evolution experiment using metabolomics

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...

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Autores principales: Favate, John S, Skalenko, Kyle S, Chiles, Eric, Su, Xiaoyang, Yadavalli, Srujana Samhita, Shah, Premal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665018/
https://www.ncbi.nlm.nih.gov/pubmed/37991493
http://dx.doi.org/10.7554/eLife.87039
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author Favate, John S
Skalenko, Kyle S
Chiles, Eric
Su, Xiaoyang
Yadavalli, Srujana Samhita
Shah, Premal
author_facet Favate, John S
Skalenko, Kyle S
Chiles, Eric
Su, Xiaoyang
Yadavalli, Srujana Samhita
Shah, Premal
author_sort Favate, John S
collection PubMed
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 E. coli 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 of nicotinamide adenine dinucleotide, might increase fitness in the system. Our work provides a better understanding of how mutations might affect fitness through the metabolic changes in the LTEE and thus provides a major step in developing a complete genotype–phenotype map for this experimental system.
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spelling pubmed-106650182023-11-22 Linking genotypic and phenotypic changes in the E. coli long-term evolution experiment using metabolomics Favate, John S Skalenko, Kyle S Chiles, Eric Su, Xiaoyang Yadavalli, Srujana Samhita Shah, Premal eLife Evolutionary Biology 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 E. coli 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 of nicotinamide adenine dinucleotide, might increase fitness in the system. Our work provides a better understanding of how mutations might affect fitness through the metabolic changes in the LTEE and thus provides a major step in developing a complete genotype–phenotype map for this experimental system. eLife Sciences Publications, Ltd 2023-11-22 /pmc/articles/PMC10665018/ /pubmed/37991493 http://dx.doi.org/10.7554/eLife.87039 Text en © 2023, Favate et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Evolutionary Biology
Favate, John S
Skalenko, Kyle S
Chiles, Eric
Su, Xiaoyang
Yadavalli, Srujana Samhita
Shah, Premal
Linking genotypic and phenotypic changes in the E. coli long-term evolution experiment using metabolomics
title Linking genotypic and phenotypic changes in the E. coli long-term evolution experiment using metabolomics
title_full Linking genotypic and phenotypic changes in the E. coli long-term evolution experiment using metabolomics
title_fullStr Linking genotypic and phenotypic changes in the E. coli long-term evolution experiment using metabolomics
title_full_unstemmed Linking genotypic and phenotypic changes in the E. coli long-term evolution experiment using metabolomics
title_short Linking genotypic and phenotypic changes in the E. coli long-term evolution experiment using metabolomics
title_sort linking genotypic and phenotypic changes in the e. coli long-term evolution experiment using metabolomics
topic Evolutionary Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665018/
https://www.ncbi.nlm.nih.gov/pubmed/37991493
http://dx.doi.org/10.7554/eLife.87039
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