Evidence map›Paper›PMID 36536287›Full record

ArticleBMC plant biology2022

A survey of the full-length transcriptome of Gracilariopsis lemaneiformis using single-molecule long-read sequencing.

Xiaojiao Chen, Yue Yao Tang, Haodong Yin, Xue Sun, Xiaoqian Zhang, Nianjun Xu

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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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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

4 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

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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

6 authors at 1 institution in 1 country.

Xiaojiao ChenKey Laboratory of Marine Biotechnology of Zhejiang Province, School of Marine Sciences, Ningbo University, Ningbo, 315211, Zhejiang, China.
Yue Yao TangKey Laboratory of Marine Biotechnology of Zhejiang Province, School of Marine Sciences, Ningbo University, Ningbo, 315211, Zhejiang, China.
Haodong YinKey Laboratory of Marine Biotechnology of Zhejiang Province, School of Marine Sciences, Ningbo University, Ningbo, 315211, Zhejiang, China.
Xue SunKey Laboratory of Marine Biotechnology of Zhejiang Province, School of Marine Sciences, Ningbo University, Ningbo, 315211, Zhejiang, China.
Xiaoqian ZhangKey Laboratory of Marine Biotechnology of Zhejiang Province, School of Marine Sciences, Ningbo University, Ningbo, 315211, Zhejiang, China.
Nianjun XuKey Laboratory of Marine Biotechnology of Zhejiang Province, School of Marine Sciences, Ningbo University, Ningbo, 315211, Zhejiang, China. xunianjun@nbu.edu.cn.
Ningbo University · CN

Funding

Key Program of Science and Technology Innovation in Ningbo 2019B10009Key Program of Science and Technology Innovation in Ningbo 2021Z114National Key R & D Program of China 2018YFD0901502National Natural Science Foundation of China 31901465Natural Science Foundation of Zhejiang Province LY22C190005open fund of State Key Laboratory of Plant Physiology and Biochemistry SKLPPBKF2117
6 · The paper itself

Abstract

backgroundPosttranscriptional processing of precursor mRNAs contributes to transcriptome and protein diversity and gene regulatory mechanisms in eukaryotes. However, this posttranscriptional mechanism has not been studied in the marine macroalgae Gracilariopsis lemaneiformis, which is the most cultivated red seaweed species in China.

resultsIn the present study, third-generation sequencing (Pacific Biosciences single-molecule real-time long-read sequencing, SMRT-Seq) was used to sequence the full-length transcriptome of G. lemaneiformis to identify alternatively spliced transcripts and alternative polyadenylation (APA) sites in this species. RNAs were isolated from G. lemaneiformis under various treatments including abiotic stresses and exogenous phytohormones, and then equally pooled for SMRT-Seq. In summary, 346,544 full-length nonchimeric reads were generated, from which 13,630 unique full-length transcripts were obtained in G. lemaneiformis. Compared with the known splicing events in the gene models, more than 3000 new alternative splicing (AS) events were identified in the SMRT-Seq reads. Additionally, 810 genes were found to have poly (A) sites and 91 microRNAs (miRNAs), 961 long noncoding RNAs and 1721 novel genes were identified in G. lemaneiformis. Moreover, validation experiments showed that abiotic stresses and phytohormones could induce some specific AS events, especially intron retain isoforms, cause some alterations to the relative ratios of transcripts annotated to the same gene, and generate novel 3' ends because of differential APA. The growth of G. lemaneiformis was inhibited by Cu stress, while this inhibition was alleviated by ACC treatment. RNA-Seq analysis further revealed that 211 differential alternative splicing (DAS) events and 142 DAS events was obtained in CK vs Cu and Cu vs Cu + ACC, respectively, suggesting that AS of functional genes could be regulated by Cu stress and ACC. Compared with Cu stress, the expression of transcripts with DAS events mainly involved in the carbon fixation in photosynthetic organisms and oxidative phosphorylation pathway was upregulated in Cu + ACC treatment, revealing that ACC alleviated the growth inhibition by Cu stress by increasing carbon fixation and oxidative phosphorylation.

conclusionsOur results provide the first comprehensive picture of the full-length transcriptome and posttranscriptional mechanism in red macroalgae, including transcripts that appeared in the presence of common abiotic stresses and phytohormones, which will improve the gene annotations of Gracilariopsis and contribute to the study of gene regulation in this important cultivated seaweed.

Indexed as

Plant Growth RegulatorsTranscriptomeAlternative SplicingGene Expression ProfilingHigh-Throughput Nucleotide SequencingRNA SplicingPlant Growth RegulatorsAlternative polyadenylationAlternative splicingGracilariopsis lemaneiformisPosttranscriptional processingSMRT-seq

Identifiers

PMID36536287
PMCPMC9762032
OpenAlexW4312094296

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LicenceCC BY
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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.