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Perceiving molecular evolution processes in Escherichia coli by comprehensive metabolite and gene expression profiling

BACKGROUND: Evolutionary changes that are due to different environmental conditions can be examined based on the various molecular aspects that constitute a cell, namely transcript, protein, or metabolite abundance. We analyzed changes in transcript and metabolite abundance in evolved and ancestor s...

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Autores principales: Vijayendran, Chandran, Barsch, Aiko, Friehs, Karl, Niehaus, Karsten, Becker, Anke, Flaschel, Erwin
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2643943/
https://www.ncbi.nlm.nih.gov/pubmed/18402659
http://dx.doi.org/10.1186/gb-2008-9-4-r72
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author Vijayendran, Chandran
Barsch, Aiko
Friehs, Karl
Niehaus, Karsten
Becker, Anke
Flaschel, Erwin
author_facet Vijayendran, Chandran
Barsch, Aiko
Friehs, Karl
Niehaus, Karsten
Becker, Anke
Flaschel, Erwin
author_sort Vijayendran, Chandran
collection PubMed
description BACKGROUND: Evolutionary changes that are due to different environmental conditions can be examined based on the various molecular aspects that constitute a cell, namely transcript, protein, or metabolite abundance. We analyzed changes in transcript and metabolite abundance in evolved and ancestor strains in three different evolutionary conditions - excess nutrient adaptation, prolonged stationary phase adaptation, and adaptation because of environmental shift - in two different strains of bacterium Escherichia coli K-12 (MG1655 and DH10B). RESULTS: Metabolite profiling of 84 identified metabolites revealed that most of the metabolites involved in the tricarboxylic acid cycle and nucleotide metabolism were altered in both of the excess nutrient evolved lines. Gene expression profiling using whole genome microarray with 4,288 open reading frames revealed over-representation of the transport functional category in all evolved lines. Excess nutrient adapted lines were found to exhibit greater degrees of positive correlation, indicating parallelism between ancestor and evolved lines, when compared with prolonged stationary phase adapted lines. Gene-metabolite correlation network analysis revealed over-representation of membrane-associated functional categories. Proteome analysis revealed the major role played by outer membrane proteins in adaptive evolution. GltB, LamB and YaeT proteins in excess nutrient lines, and FepA, CirA, OmpC and OmpA in prolonged stationary phase lines were found to be differentially over-expressed. CONCLUSION: In summary, we report the vital involvement of energy metabolism and membrane-associated functional categories in all of the evolutionary conditions examined in this study within the context of transcript, outer membrane protein, and metabolite levels. These initial data obtained may help to enhance our understanding of the evolutionary process from a systems biology perspective.
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spelling pubmed-26439432009-02-17 Perceiving molecular evolution processes in Escherichia coli by comprehensive metabolite and gene expression profiling Vijayendran, Chandran Barsch, Aiko Friehs, Karl Niehaus, Karsten Becker, Anke Flaschel, Erwin Genome Biol Research BACKGROUND: Evolutionary changes that are due to different environmental conditions can be examined based on the various molecular aspects that constitute a cell, namely transcript, protein, or metabolite abundance. We analyzed changes in transcript and metabolite abundance in evolved and ancestor strains in three different evolutionary conditions - excess nutrient adaptation, prolonged stationary phase adaptation, and adaptation because of environmental shift - in two different strains of bacterium Escherichia coli K-12 (MG1655 and DH10B). RESULTS: Metabolite profiling of 84 identified metabolites revealed that most of the metabolites involved in the tricarboxylic acid cycle and nucleotide metabolism were altered in both of the excess nutrient evolved lines. Gene expression profiling using whole genome microarray with 4,288 open reading frames revealed over-representation of the transport functional category in all evolved lines. Excess nutrient adapted lines were found to exhibit greater degrees of positive correlation, indicating parallelism between ancestor and evolved lines, when compared with prolonged stationary phase adapted lines. Gene-metabolite correlation network analysis revealed over-representation of membrane-associated functional categories. Proteome analysis revealed the major role played by outer membrane proteins in adaptive evolution. GltB, LamB and YaeT proteins in excess nutrient lines, and FepA, CirA, OmpC and OmpA in prolonged stationary phase lines were found to be differentially over-expressed. CONCLUSION: In summary, we report the vital involvement of energy metabolism and membrane-associated functional categories in all of the evolutionary conditions examined in this study within the context of transcript, outer membrane protein, and metabolite levels. These initial data obtained may help to enhance our understanding of the evolutionary process from a systems biology perspective. BioMed Central 2008-04-10 /pmc/articles/PMC2643943/ /pubmed/18402659 http://dx.doi.org/10.1186/gb-2008-9-4-r72 Text en Copyright © 2008 Vijayendran et al.; licensee BioMed Central Ltd. https://creativecommons.org/licenses/by/2.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0 (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Vijayendran, Chandran
Barsch, Aiko
Friehs, Karl
Niehaus, Karsten
Becker, Anke
Flaschel, Erwin
Perceiving molecular evolution processes in Escherichia coli by comprehensive metabolite and gene expression profiling
title Perceiving molecular evolution processes in Escherichia coli by comprehensive metabolite and gene expression profiling
title_full Perceiving molecular evolution processes in Escherichia coli by comprehensive metabolite and gene expression profiling
title_fullStr Perceiving molecular evolution processes in Escherichia coli by comprehensive metabolite and gene expression profiling
title_full_unstemmed Perceiving molecular evolution processes in Escherichia coli by comprehensive metabolite and gene expression profiling
title_short Perceiving molecular evolution processes in Escherichia coli by comprehensive metabolite and gene expression profiling
title_sort perceiving molecular evolution processes in escherichia coli by comprehensive metabolite and gene expression profiling
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2643943/
https://www.ncbi.nlm.nih.gov/pubmed/18402659
http://dx.doi.org/10.1186/gb-2008-9-4-r72
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