ena-STUDY-University of Birmingham-17-01-2018-11:37:04:006-151
The essential genome of Escherichia coli K-12 identified using TraDIS
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 as 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 datasets will assist genome annotation of less well characterized genomes and provides new insights into bacterial physiology and biochemistry.
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 as 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 datasets will assist genome annotation of less well characterized genomes and provides new insights into bacterial physiology and biochemistry.