Evidence map›Paper›PMID 35689714›Full record

ArticleRice (New York, N.Y.)2022

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

Sharmin Hasan, Lichun Huang, Qiaoquan Liu, Virginie Perlo, Angela O'Keeffe, Gabriel Rodrigues Alves Margarido, Agnelo Furtado, Robert J Henry

Abstract read
In one paragraph

Article in Rice (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. RNA regulation in plants.Science China. Life sciences · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sharmin HasanQueensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, 4072, Australia.
Lichun HuangCollege of Agriculture, Yangzhou University, Jiangsu, 225009, China.
Qiaoquan LiuCollege of Agriculture, Yangzhou University, Jiangsu, 225009, China.
Virginie PerloQueensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, 4072, Australia.
Angela O'KeeffeQueensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, 4072, Australia.
Gabriel Rodrigues Alves MargaridoDepartamento de Genética, Escola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo, Piracicaba, São Paulo, 13418-900, Brazil.
Agnelo FurtadoQueensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, 4072, Australia.
Robert J HenryQueensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, 4072, Australia. robert.henry@uq.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-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.

resultsA 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.

conclusionThe 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.

Indexed as

Alternative splicing isoformsFull-length transcriptsIso-sequencingNovel isoformsRice transcriptomeSplicing junctions

Identifiers

PMID35689714
PMCPMC9188635

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.