Your browser doesn't support javascript.
loading
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.
Afiliação
  • Goodall ECA; Institute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
  • Robinson A; Institute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
  • Johnston IG; Institute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
  • Jabbari S; Institute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
  • Turner KA; Discuva Ltd., Cambridge, United Kingdom.
  • Cunningham AF; Institute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
  • Lund PA; Institute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
  • Cole JA; Institute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
  • Henderson IR; Institute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom i.r.henderson@bham.ac.uk.
mBio ; 9(1)2018 02 20.
Article em En | MEDLINE | ID: mdl-29463657
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.IMPORTANCE Incentives to define lists of genes that are essential for bacterial survival include the identification of potential targets for antibacterial drug development, genes required for rapid growth for exploitation in biotechnology, and discovery of new biochemical pathways. To identify essential genes in Escherichia coli, we constructed a transposon mutant library of unprecedented density. Initial automated analysis of the resulting data revealed many discrepancies compared to the literature. We now report more extensive statistical analysis supported by both literature searches and detailed inspection of high-density TraDIS sequencing data for each putative essential gene for the E. coli model laboratory organism. This paper is important because it provides a better understanding of the essential genes of E. coli, reveals the limitations of relying on automated analysis alone, and provides a new standard for the analysis of TraDIS data.
Assuntos
Palavras-chave

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Genoma Bacteriano / Genes Essenciais / Escherichia coli K12 / Biologia Molecular Tipo de estudo: Prognostic_studies Idioma: En Revista: MBio Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Genoma Bacteriano / Genes Essenciais / Escherichia coli K12 / Biologia Molecular Tipo de estudo: Prognostic_studies Idioma: En Revista: MBio Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Reino Unido