Function annotation of the rice transcriptome at single-nucleotide resolution by RNA-seq.

Genome Research
Tingting LuBin Han

Abstract

The functional complexity of the rice transcriptome is not yet fully elucidated, despite many studies having reported the use of DNA microarrays. Next-generation DNA sequencing technologies provide a powerful approach for mapping and quantifying the transcriptome, termed RNA sequencing (RNA-seq). In this study, we applied RNA-seq to globally sample transcripts of the cultivated rice Oryza sativa indica and japonica subspecies for resolving the whole-genome transcription profiles. We identified 15,708 novel transcriptional active regions (nTARs), of which 51.7% have no homolog to public protein data and >63% are putative single-exon transcripts, which are highly different from protein-coding genes (<20%). We found that approximately 48% of rice genes show alternative splicing patterns, a percentage considerably higher than previous estimations. On the basis of the available rice gene models, 83.1% (46,472 genes) of the current rice gene models were validated by RNA-seq, and 6228 genes were identified to be extended at the 5' and/or 3' ends by at least 50 bp. Comparative transcriptome analysis demonstrated that 3464 genes exhibited differential expression patterns. The ratio of SNPs with nonsynonymous/synonymous mutations was nea...Continue Reading

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Citations

Sep 11, 2012·Protoplasma·Raquel F CarvalhoPaula Duque
May 18, 2011·Genetica·Pedro Martínez-GómezManuel Rubio
Jun 21, 2013·Plant Molecular Biology·Lu WangYuepeng Han
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Jan 18, 2013·BMC Genomics·Rongrong ZhaiShihua Cheng
Apr 18, 2012·Biology Direct·Igor B RogozinEugene V Koonin

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