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The Essential Genome of Escherichia coli K-12
Transposon-directed insertion site sequencing (TraDIS) is a high-throughput method coupling transposon mutagenesis with short-fragment DNA sequencing. It is commonly used to identify essential genes. Single gene deletion libraries are considered the gold standard for identifying essential genes. Cur...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5821084/ https://www.ncbi.nlm.nih.gov/pubmed/29463657 http://dx.doi.org/10.1128/mBio.02096-17 |
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author | Goodall, Emily C. A. Robinson, Ashley Johnston, Iain G. Jabbari, Sara Turner, Keith A. Cunningham, Adam F. Lund, Peter A. Cole, Jeffrey A. Henderson, Ian R. |
author_facet | Goodall, Emily C. A. Robinson, Ashley Johnston, Iain G. Jabbari, Sara Turner, Keith A. Cunningham, Adam F. Lund, Peter A. Cole, Jeffrey A. Henderson, Ian R. |
author_sort | Goodall, Emily C. A. |
collection | PubMed |
description | Transposon-directed insertion site sequencing (TraDIS) is a high-throughput method coupling transposon mutagenesis with short-fragment DNA sequencing. It is commonly used to identify essential genes. Single gene deletion libraries are considered the gold standard for identifying essential genes. Currently, the TraDIS method has not been benchmarked against such libraries, and therefore, it remains unclear whether the two methodologies are comparable. To address this, a high-density transposon library was constructed in Escherichia coli K-12. Essential genes predicted from sequencing of this library were compared to existing essential gene databases. To decrease false-positive identification of essential genes, statistical data analysis included corrections for both gene length and genome length. Through this analysis, new essential genes and genes previously incorrectly designated essential were identified. We show that manual analysis of TraDIS data reveals novel features that would not have been detected by statistical analysis alone. Examples include short essential regions within genes, orientation-dependent effects, and fine-resolution identification of genome and protein features. Recognition of these insertion profiles in transposon mutagenesis data sets will assist genome annotation of less well characterized genomes and provides new insights into bacterial physiology and biochemistry. |
format | Online Article Text |
id | pubmed-5821084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-58210842018-03-05 The Essential Genome of Escherichia coli K-12 Goodall, Emily C. A. Robinson, Ashley Johnston, Iain G. Jabbari, Sara Turner, Keith A. Cunningham, Adam F. Lund, Peter A. Cole, Jeffrey A. Henderson, Ian R. mBio Research Article Transposon-directed insertion site sequencing (TraDIS) is a high-throughput method coupling transposon mutagenesis with short-fragment DNA sequencing. It is commonly used to identify essential genes. Single gene deletion libraries are considered the gold standard for identifying essential genes. Currently, the TraDIS method has not been benchmarked against such libraries, and therefore, it remains unclear whether the two methodologies are comparable. To address this, a high-density transposon library was constructed in Escherichia coli K-12. Essential genes predicted from sequencing of this library were compared to existing essential gene databases. To decrease false-positive identification of essential genes, statistical data analysis included corrections for both gene length and genome length. Through this analysis, new essential genes and genes previously incorrectly designated essential were identified. We show that manual analysis of TraDIS data reveals novel features that would not have been detected by statistical analysis alone. Examples include short essential regions within genes, orientation-dependent effects, and fine-resolution identification of genome and protein features. Recognition of these insertion profiles in transposon mutagenesis data sets will assist genome annotation of less well characterized genomes and provides new insights into bacterial physiology and biochemistry. American Society for Microbiology 2018-02-20 /pmc/articles/PMC5821084/ /pubmed/29463657 http://dx.doi.org/10.1128/mBio.02096-17 Text en Copyright © 2018 Goodall et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Goodall, Emily C. A. Robinson, Ashley Johnston, Iain G. Jabbari, Sara Turner, Keith A. Cunningham, Adam F. Lund, Peter A. Cole, Jeffrey A. Henderson, Ian R. The Essential Genome of Escherichia coli K-12 |
title | The Essential Genome of Escherichia coli K-12 |
title_full | The Essential Genome of Escherichia coli K-12 |
title_fullStr | The Essential Genome of Escherichia coli K-12 |
title_full_unstemmed | The Essential Genome of Escherichia coli K-12 |
title_short | The Essential Genome of Escherichia coli K-12 |
title_sort | essential genome of escherichia coli k-12 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5821084/ https://www.ncbi.nlm.nih.gov/pubmed/29463657 http://dx.doi.org/10.1128/mBio.02096-17 |
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