Single-Molecule Real-Time Transcript Sequencing of Turnips Unveiling the Complexity of the Turnip Transcriptome

文献类型： 外文期刊

第一作者： Zhuang, Hongmei

作者： Zhuang, Hongmei;Wang, Qiang;Han, Hongwei;Liu, Huifang;Wang, Hao

作者机构：

关键词： turnips (Brassica rapa var; Rapa); single-molecule real-time sequencing; full-length transcriptome

期刊名称：G3-GENES GENOMES GENETICS （ 影响因子：3.154； 五年影响因子：3.369 ）

ISSN： 2160-1836

年卷期： 2020 年 10 卷 10 期

页码：

收录情况： SCI

摘要： To generate the full-length transcriptome of Xinjiang green and purple turnips,Brassica rapa var. Rapa, using single-molecule real-time (SMRT) sequencing. The samples of two varieties ofBrassica rapa var. Rapaat five developmental stages were collected and combined to perform SMRT sequencing. Meanwhile, next generation sequencing was performed to correct SMRT sequencing data. A series of analyses were performed to investigate the transcript structure. Finally, the obtained transcripts were mapped to the genome ofBrassica rapa ssp. pekinesisChiifu to identify potential novel transcripts. For green turnip (F01), a total of 19.54 Gb clean data were obtained from 8 cells. The number of reads of insert (ROI) and full-length non-chimeric (FLNC) reads were 510,137 and 267,666. In addition, 82,640 consensus isoforms were obtained in the isoform sequences clustering, of which 69,480 were high-quality, and 13,160 low-quality sequences were corrected using Illumina RNA seq data. For purple turnip (F02), there were 20.41 Gb clean data, 552,829 ROIs, and 274,915 FLNC sequences. A total of 93,775 consensus isoforms were obtained, of which 78,798 were high-quality, and the 14,977 low-quality sequences were corrected. Following the removal of redundant sequences, there were 46,516 and 49,429 non-redundant transcripts for F01 and F02, respectively; 7,774 and 9,385 alternative splicing events were predicted for F01 and F02; 63,890 simple sequence repeats, 59,460 complete coding sequences, and 535 long-non coding RNAs were predicted. Moreover, 5,194 and 5,369 novel transcripts were identified by mapping toBrassica rapa ssp. pekinesisChiifu. The obtained transcriptome data may improve turnip genome annotation and facilitate further study of theBrassica rapa var. Rapagenome and transcriptome.

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