GSE16631
rice whole transcriptome surveyed by RNA-Seq and Paired-end technology
Transcriptome analysis is an important approach to associate genotype with phenotype. The content and dynamics of eukaryotic transcriptome are far more complex than previously anticipated. Here we integrated high-throughput RNA-seq and paired-end method to conduct an unprecedentedly deep survey of transcription profile for cultivated rice, one of the oldest domesticated crops species and has since spread worldwide to become one of the major staple foods. Analysis of reads mapping revealed 4,244 previously uncharacterized transcripts, including a mass of protein-coding genes and putative functional non-coding RNA genes. Alignment of junction reads indicated over 42% of rice multiple-exon genes produce two or more distinct splicing isoforms. It's intriguing that we identified 1,356 putative gene fusion events, indicating the 234 fusion gene produced by trans-splicing vastly increases the complexity of rice transcriptome, together with the pervasive alternative splicing events. Digital gene expression profiling revealed most rice duplicate genes were maintained by the selection constraint on gene dosages, which would increase the genetic robustness of rice to counteract deleterious mutations Keywords: Expression profiling by high throughput sequencing Overall design: mRNA expression of 8 independent rice tissues was determined by method of RNA-Seq using short reads from high throughput sequencing technology. Meanwhile small RNA populations from mixture solution pooled from total RNA of each 8 tissues were also sequenced.