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The Escherichia coli transcriptome linked to growth fitness

A series of Escherichia coli strains with varied genomic sequences were subjected to high-density microarray analyses to elucidate the fitness-correlated transcriptomes. Fitness, which is commonly evaluated by the growth rate during the exponential phase, is not only determined by the genome but is...

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Autores principales: Ying, Bei-Wen, Yama, Kazuma, Kitahara, Kazuki, Yomo, Tetsuya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778597/
https://www.ncbi.nlm.nih.gov/pubmed/26981347
http://dx.doi.org/10.1016/j.gdata.2015.11.011
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author Ying, Bei-Wen
Yama, Kazuma
Kitahara, Kazuki
Yomo, Tetsuya
author_facet Ying, Bei-Wen
Yama, Kazuma
Kitahara, Kazuki
Yomo, Tetsuya
author_sort Ying, Bei-Wen
collection PubMed
description A series of Escherichia coli strains with varied genomic sequences were subjected to high-density microarray analyses to elucidate the fitness-correlated transcriptomes. Fitness, which is commonly evaluated by the growth rate during the exponential phase, is not only determined by the genome but is also linked to growth conditions, e.g., temperature. We previously reported genetic and environmental contributions to E. coli transcriptomes and evolutionary transcriptome changes in thermal adaptation. Here, we describe experimental details on how to prepare microarray samples that truly represent the growth fitness of the E. coli cells. A step-by-step record of sample preparation procedures that correspond to growing cells and transcriptome data sets that are deposited at the GEO database (GSE33212, GSE52770, GSE61739) are also provided for reference.
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spelling pubmed-47785972016-03-15 The Escherichia coli transcriptome linked to growth fitness Ying, Bei-Wen Yama, Kazuma Kitahara, Kazuki Yomo, Tetsuya Genom Data Data in Brief A series of Escherichia coli strains with varied genomic sequences were subjected to high-density microarray analyses to elucidate the fitness-correlated transcriptomes. Fitness, which is commonly evaluated by the growth rate during the exponential phase, is not only determined by the genome but is also linked to growth conditions, e.g., temperature. We previously reported genetic and environmental contributions to E. coli transcriptomes and evolutionary transcriptome changes in thermal adaptation. Here, we describe experimental details on how to prepare microarray samples that truly represent the growth fitness of the E. coli cells. A step-by-step record of sample preparation procedures that correspond to growing cells and transcriptome data sets that are deposited at the GEO database (GSE33212, GSE52770, GSE61739) are also provided for reference. Elsevier 2015-11-10 /pmc/articles/PMC4778597/ /pubmed/26981347 http://dx.doi.org/10.1016/j.gdata.2015.11.011 Text en © 2015 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data in Brief
Ying, Bei-Wen
Yama, Kazuma
Kitahara, Kazuki
Yomo, Tetsuya
The Escherichia coli transcriptome linked to growth fitness
title The Escherichia coli transcriptome linked to growth fitness
title_full The Escherichia coli transcriptome linked to growth fitness
title_fullStr The Escherichia coli transcriptome linked to growth fitness
title_full_unstemmed The Escherichia coli transcriptome linked to growth fitness
title_short The Escherichia coli transcriptome linked to growth fitness
title_sort escherichia coli transcriptome linked to growth fitness
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778597/
https://www.ncbi.nlm.nih.gov/pubmed/26981347
http://dx.doi.org/10.1016/j.gdata.2015.11.011
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