A high quality Arabidopsis transcriptome for accurate transcript-level analysis of alternative splicing.
A high quality Arabidopsis transcriptome for accurate transcript-level analysis of alternative splicing.
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DOI:
10.1093/nar/gkx267
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发表时间:
2017-05-19
影响因子:
14.9
通讯作者:
Brown JWS
中科院分区:
文献类型:
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作者:
Zhang R;Calixto CPG;Marquez Y;Venhuizen P;Tzioutziou NA;Guo W;Spensley M;Entizne JC;Lewandowska D;Ten Have S;Frei Dit Frey N;Hirt H;James AB;Nimmo HG;Barta A;Kalyna M;Brown JWS
Alternative splicing generates multiple transcript and protein isoforms from the same gene and thus is important in gene expression regulation. To date, RNA-sequencing (RNA-seq) is the standard method for quantifying changes in alternative splicing on a genome-wide scale. Understanding the current limitations of RNA-seq is crucial for reliable analysis and the lack of high quality, comprehensive transcriptomes for most species, including model organisms such as Arabidopsis, is a major constraint in accurate quantification of transcript isoforms. To address this, we designed a novel pipeline with stringent filters and assembled a comprehensive Reference Transcript Dataset for Arabidopsis (AtRTD2) containing 82,190 non-redundant transcripts from 34 212 genes. Extensive experimental validation showed that AtRTD2 and its modified version, AtRTD2-QUASI, for use in Quantification of Alternatively Spliced Isoforms, outperform other available transcriptomes in RNA-seq analysis. This strategy can be implemented in other species to build a pipeline for transcript-level expression and alternative splicing analyses.