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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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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. |
format | Online Article Text |
id | pubmed-4778597 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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