A simple method for directional transcriptome sequencing using Illumina technology

• Published in: Nucleic acids research Vol. 37; no. 22; p. e148
• Main Authors: Croucher, Nicholas J., Fookes, Maria C., Perkins, Timothy T., Turner, Daniel J., Marguerat, Samuel B., Keane, Thomas, Quail, Michael A., He, Miao, Assefa, Sammey, Bähler, Jürg, Kingsley, Robert A., Parkhill, Julian, Bentley, Stephen D., Dougan, Gordon, Thomson, Nicholas R.
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.12.2009
• Subjects: DNA, Complementary - chemistry; DNA, Single-Stranded - chemistry; Gene Expression Profiling - methods; Gene Library; Methods Online; RNA Splicing; Salmonella - genetics; Salmonella bongori; Schizosaccharomyces - genetics; Schizosaccharomyces pombe; Sequence Analysis, DNA - methods; Streptococcus pneumoniae; Streptococcus pneumoniae - genetics; Transcription, Genetic
• ISSN: 0305-1048; 1362-4962
• DOI: 10.1093/nar/gkp811

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.