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Nucleic Acids Research Advance Access published online on October 8, 2009

Nucleic Acids Research, doi:10.1093/nar/gkp811
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© The Author(s) 2009. Published by Oxford University Press.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Methods Online

A simple method for directional transcriptome sequencing using Illumina technology

Nicholas J. Croucher, Maria C. Fookes, Timothy T. Perkins, Daniel J. Turner, Samuel B. Marguerat, Thomas Keane, Michael A. Quail, Miao He, Sammey Assefa, Jürg Bähler, Robert A. Kingsley, Julian Parkhill, Stephen D. Bentley, Gordon Dougan and Nicholas R. Thomson*

The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, Cambridgeshire CB10 1SA, UK

*To whom correspondence should be addressed. Tel: +44 1223 494740; Fax: +44 1223 494919; Email: nrt{at}sanger.ac.uk

Received July 10, 2009. Revised September 14, 2009. Accepted September 15, 2009.

High-throughput sequencing of cDNA has been used to study eukaryotic transcription on a genome-wide scale to single base pair resolution. In order to compensate for the high ribonuclease activity in bacterial cells, we have devised an equivalent technique optimized for studying complete prokaryotic transcriptomes that minimizes the manipulation of the RNA sample. This new approach uses Illumina technology to sequence single-stranded (ss) cDNA, generating information on both the direction and level of transcription throughout the genome. The protocol, and associated data analysis programs, are freely available from http://www.sanger.ac.uk/Projects/Pathogens/Transcriptome/. We have successfully applied this method to the bacterial pathogens Salmonella bongori and Streptococcus pneumoniae and the yeast Schizosaccharomyces pombe. This method enables experimental validation of genetic features predicted in silico and allows the easy identification of novel transcripts throughout the genome. We also show that there is a high correlation between the level of gene expression calculated from ss-cDNA and double-stranded-cDNA sequencing, indicting that ss-cDNA sequencing is both robust and appropriate for use in quantitative studies of transcription. Hence, this simple method should prove a useful tool in aiding genome annotation and gene expression studies in both prokaryotes and eukaryotes.


The authors wish it to be known that, in their opinion, the first three authors should be regarded as joint First Authors.


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