Deep sequencing approaches for the analysis of prokaryotic transcriptional boundaries and dynamics

Katherine James, Simon J. Cockell, Nikolay Zenkin

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)
13 Downloads (Pure)

Abstract

The identification of the protein-coding regions of a genome is straightforward due to the universality of start and stop codons. However, the boundaries of the transcribed regions, conditional operon structures, non-coding RNAs and the dynamics of transcription, such as pausing of elongation, are non-trivial to identify, even in the comparatively simple genomes of prokaryotes. Traditional methods for the study of these areas, such as tiling arrays, are noisy, labour-intensive and lack the resolution required for densely-packed bacterial genomes. Recently, deep sequencing has become increasingly popular for the study of the transcriptome due to its lower costs, higher accuracy and single nucleotide resolution. These methods have revolutionised our understanding of prokaryotic transcriptional dynamics. Here, we review the deep sequencing and data analysis techniques that are available for the study of transcription in prokaryotes, and discuss the bioinformatic considerations of these analyses.
Original languageEnglish
Pages (from-to)76-84
Number of pages9
JournalMethods
Volume120
Early online date21 Apr 2017
DOIs
Publication statusPublished - 1 May 2017
Externally publishedYes

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