Deep RNA sequencing at single base-pair resolution reveals high complexity of the rice transcriptome
Author(s) -
Guojie Zhang,
Guangwu Guo,
Xueda Hu,
Yong Zhang,
Qiye Li,
Ruiqiang Li,
Ruhong Zhuang,
Zhike Lu,
Zengquan He,
Xiaodong Fang,
Li Chen,
Wei Tian,
Yong Tao,
Karsten Kristiansen,
Xiuqing Zhang,
Songgang Li,
Huanming Yang,
Jian Wang,
Jun Wang
Publication year - 2010
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.100677.109
Subject(s) - biology , transcriptome , rna splicing , genetics , alternative splicing , fusion transcript , gene , trans splicing , rna seq , computational biology , exon , de novo transcriptome assembly , rna , gene expression , fusion gene
Understanding the dynamics of eukaryotic transcriptome is essential for studying the complexity of transcriptional regulation and its impact on phenotype. However, comprehensive studies of transcriptomes at single base resolution are rare, even for modern organisms, and lacking for rice. Here, we present the first transcriptome atlas for eight organs of cultivated rice. Using high-throughput paired-end RNA-seq, we unambiguously detected transcripts expressing at an extremely low level, as well as a substantial number of novel transcripts, exons, and untranslated regions. An analysis of alternative splicing in the rice transcriptome revealed that alternative cis -splicing occurred in ∼33% of all rice genes. This is far more than previously reported. In addition, we also identified 234 putative chimeric transcripts that seem to be produced by trans -splicing, indicating that transcript fusion events are more common than expected. In-depth analysis revealed a multitude of fusion transcripts that might be by-products of alternative splicing. Validation and chimeric transcript structural analysis provided evidence that some of these transcripts are likely to be functional in the cell. Taken together, our data provide extensive evidence that transcriptional regulation in rice is vastly more complex than previously believed.
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