Evidence map›Paper›PMID 34035372›Full record

ArticleScientific reports2021

Integrated RNA and miRNA sequencing analysis reveals a complex regulatory network of Magnolia sieboldii seed germination.

Mei Mei, Jun Wei, Wanfeng Ai, Lijie Zhang, Xiu-Jun Lu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Mei MeiDepartment of Horticulture, Shenyang Agricultural University, Shenyang, China.
Jun WeiInstitute of Botany, Chinese Academy of Sciences, Beijing, China.
Wanfeng AiDepartment of Horticulture, Shenyang Agricultural University, Shenyang, China.
Lijie ZhangDepartment of Forestry, Shenyang Agricultural University, Shenyang, China.
Xiu-Jun LuDepartment of Forestry, Shenyang Agricultural University, Shenyang, China. lxjsyau@syau.edu.cn.
Shenyang Agricultural University · CNInstitute of Botany · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnolia sieboldii K. Koch (M. sieboldii) is a deciduous Chinese tree species of the Magnoliaceae family with high ornamental, medicinal, and economic benefits. The germination of M. sieboldii seeds under natural conditions is extremely difficult, thereby hindering the cultivation and breeding of this important species. The molecular mechanisms underlying M. sieboldii seed germination remain unclear due to the lack of genomic and transcriptomic resources. Here, we integrated both mRNA and miRNA sequencing to identify the genes and pathways related to M. sieboldii germination. A comprehensive full-length transcriptome containing 158,083 high-quality unigenes was obtained by single-molecule real-time (SMRT) sequencing technology. We identified a total of 13,877 genes that were differentially expressed between non-germinated and germinated seeds. These genes were mainly involved in plant hormone signal transduction and diverse metabolic pathways such as those involving lipids, sugars, and amino acids. Our results also identified a complex regulatory network between miRNAs and their target genes. Taken together, we present the first transcriptome of M. sieboldii and provide key genes and pathways associated with seed germination for further characterization. Future studies of the molecular basis of seed germination will facilitate the genetic improvement M. sieboldii.

Indexed as

Gene Regulatory NetworksGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Expression Regulation, PlantGerminationMagnoliaMicroRNAsMolecular Sequence AnnotationPlant ProteinsSequence Analysis, RNASingle Molecule ImagingMicroRNAsPlant Proteins

Identifiers

PMID34035372
PMCPMC8149418
OpenAlexW3165579625

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Registered trials

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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.