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The Long Read Transcriptome of Rice (Oryza sativa ssp. japonica var. Nipponbare) Reveals Novel Transcripts

Authors :
Sharmin Hasan
Lichun Huang
Qiaoquan Liu
Virginie Perlo
Angela O’Keeffe
Gabriel Rodrigues Alves Margarido
Agnelo Furtado
Robert J. Henry
Source :
Rice, Vol 15, Iss 1, Pp 1-17 (2022)
Publication Year :
2022
Publisher :
SpringerOpen, 2022.

Abstract

Abstract Background High-throughput next-generation sequencing technologies offer a powerful approach to characterizing the transcriptomes of plants. Long read sequencing has been shown to support the discovery of novel isoforms of transcripts. This approach enables the generation of full-length sequences revealing splice variants that may be important in regulating gene action. Investigation of the diversity of transcripts in the rice transcriptome including splice variants was conducted using PacBio long-read sequence data to improve the annotation of the rice genome. Results A cDNA library was prepared from RNA extracted from leaves, roots, seeds, inflorescences, and panicles of O. sativa ssp. japonica var Nipponbare and sequenced on a PacBio Sequel platform. This produced 346,190 non-redundant full-length non-chimeric reads (FLNC) resulting in 33,504 high-quality transcripts. Half of the transcripts were multi-exonic and entirely matched with the reference transcripts. However, 14,874 novel isoforms were also identified resulting predominantly from intron retention and at least one novel splice site. Intron retention was the prevalent alternative splicing event and exon skipping was the least observed. Of 73,659 splice junctions, 12,755 (17%) represented novel splice junctions with canonical and non-canonical intron boundaries. The complexity of the transcriptome was examined in detail for 19 starch synthesis-related genes, defining 276 spliced isoforms of which 94 splice variants were novel. Conclusion The data reveal the great complexity of the rice transcriptome. The novel transcripts provide new insights that may be a key input in future research to improve the annotation of the rice genome.

Details

Language :
English
ISSN :
19398425 and 19398433
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Rice
Publication Type :
Academic Journal
Accession number :
edsdoj.311edcfe9974a0d86d49d3e8965831b
Document Type :
article
Full Text :
https://doi.org/10.1186/s12284-022-00577-1