Evidence map›Paper›PMID 31771515›Full record

ArticleBMC plant biology2019

Single-molecule real-time sequencing facilitates the analysis of transcripts and splice isoforms of anthers in Chinese cabbage (Brassica rapa L. ssp. pekinensis).

Chong Tan, Hongxin Liu, Jie Ren, Xueling Ye, Hui Feng, Zhiyong Liu

Abstract read
In one paragraph

Article in BMC plant biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
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15citing 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

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Chong TanCollege of Horticulture, Shenyang Agricultural University, Shenyang, Liaoning, 110866, People's Republic of China.
Hongxin LiuCollege of Horticulture, Shenyang Agricultural University, Shenyang, Liaoning, 110866, People's Republic of China.
Jie RenCollege of Horticulture, Shenyang Agricultural University, Shenyang, Liaoning, 110866, People's Republic of China.
Xueling YeCollege of Horticulture, Shenyang Agricultural University, Shenyang, Liaoning, 110866, People's Republic of China.
Hui FengCollege of Horticulture, Shenyang Agricultural University, Shenyang, Liaoning, 110866, People's Republic of China.
Zhiyong LiuCollege of Horticulture, Shenyang Agricultural University, Shenyang, Liaoning, 110866, People's Republic of China. 2010500026@syau.edu.cn.

Funding

National Natural Science Foundation of China 31201625National Natural Science Foundation of China 31772298the National Key Research and Development Program of Chinese 2016YFD0101701
6 · The paper itself

Abstract

backgroundAnther development has been extensively studied at the transcriptional level, but a systematic analysis of full-length transcripts on a genome-wide scale has not yet been published. Here, the Pacific Biosciences (PacBio) Sequel platform and next-generation sequencing (NGS) technology were combined to generate full-length sequences and completed structures of transcripts in anthers of Chinese cabbage.

resultsUsing single-molecule real-time sequencing (SMRT), a total of 1,098,119 circular consensus sequences (CCSs) were generated with a mean length of 2664 bp. More than 75% of the CCSs were considered full-length non-chimeric (FLNC) reads. After error correction, 725,731 high-quality FLNC reads were estimated to carry 51,501 isoforms from 19,503 loci, consisting of 38,992 novel isoforms from known genes and 3691 novel isoforms from novel genes. Of the novel isoforms, we identified 407 long non-coding RNAs (lncRNAs) and 37,549 open reading frames (ORFs). Furthermore, a total of 453,270 alternative splicing (AS) events were identified and the majority of AS models in anther were determined to be approximate exon skipping (XSKIP) events. Of the key genes regulated during anther development, AS events were mainly identified in the genes SERK1, CALS5, NEF1, and CESA1/3. Additionally, we identified 104 fusion transcripts and 5806 genes that had alternative polyadenylation (APA).

conclusionsOur work demonstrated the transcriptome diversity and complexity of anther development in Chinese cabbage. The findings provide a basis for further genome annotation and transcriptome research in Chinese cabbage.

Indexed as

Brassica rapaFlowersHigh-Throughput Nucleotide SequencingOpen Reading FramesPlant ProteinsProtein IsoformsRNA, Long NoncodingRNA, PlantTranscriptomePlant ProteinsProtein IsoformsRNA, Long NoncodingRNA, PlantAlternative splicingAntherChinese cabbageFull-length transcriptFusion transcript

Identifiers

PMID31771515
PMCPMC6880451

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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.