Identification of new genes in Sinorhizobium meliloti using the Genome Sequencer FLX system

Chunhong Mao , Clive Evans , Roderick V Jensen and Bruno WS Sobral

Virginia Bioinformatics Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA

author email corresponding author email

BMC Microbiology 2008, 8:72doi:10.1186/1471-2180-8-72


Published:	2 May 2008

Abstract

Background

Sinorhizobium meliloti is an agriculturally important model symbiont. There is an ongoing need to update and improve its genome annotation. In this study, we used a high-throughput pyrosequencing approach to sequence the transcriptome of S. meliloti, and search for new bacterial genes missed in the previous genome annotation. This is the first report of sequencing a bacterial transcriptome using the pyrosequencing technology.

Results

Our pilot sequencing run generated 19,005 reads with an average length of 136 nucleotides per read. From these data, we identified 20 new genes. These new gene transcripts were confirmed by RT-PCR and their possible functions were analyzed.

Conclusion

Our results indicate that high-throughput sequence analysis of bacterial transcriptomes is feasible and next-generation sequencing technologies will greatly facilitate the discovery of new genes and improve genome annotation.