Evidence map›Paper›PMID 34702915›Full record

ArticleScientific reports2021

Effect of the over-dominant expression of proteins on nicotine heterosis via proteomic analysis.

Zejun Mo, Yuanyuan Pu, Junhao Zhou, Zonglin Tian, Jianhui Teng, Qian Chen, Lili Duan, Renxiang Liu

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 11 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

8 authors at 2 institutions in 1 country.

Zejun MoCollege of Agriculture, Guizhou University, Guiyang, China.
Yuanyuan PuCollege of Agriculture, Guizhou University, Guiyang, China.
Junhao ZhouCollege of Tobacco, Guizhou University, Guiyang, China.
Zonglin TianCollege of Tobacco, Guizhou University, Guiyang, China.
Jianhui TengCollege of Tobacco, Guizhou University, Guiyang, China.
Qian ChenCollege of Agriculture, Guizhou University, Guiyang, China.
Lili DuanCollege of Agriculture, Guizhou University, Guiyang, China.
Renxiang LiuCollege of Tobacco, Guizhou University, Guiyang, China. rxliu@gzu.edu.cn.
Guizhou University · CNTobacco Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterosis is a common biological phenomenon that can be used to optimize yield and quality of crops. Using heterosis breeding, hybrids with suitable nicotine content have been applied to tobacco leaf production. However, the molecular mechanism of the formation of nicotine heterosis has never been explained from the perspective of protein. The DIA proteomics technique was used to compare the differential proteomics of the hybrid Va116 × Basma, showing strong heterosis in nicotine content from its parent lines Va116 and Basma. Proteomics analysis indicated that 65.2% of DEPs showed over-dominant expression patterns, and these DEPs included QS, BBL, GS, ARAF and RFC1 which related to nicotine synthesis. In addition, some DEPs (including GST, ABCE2 and ABCF1 and SLY1) that may be associated with nicotinic transport exhibited significant heterosis over the parental lines. These findings demonstrated that the efficiency of the synthesis and transport of nicotine in hybrids was significantly higher than that in the parent lines, and the accumulation of over-dominant expression proteins may be the cause of heterosis of nicotinic content in hybrids.

Indexed as

Gene Expression Regulation, PlantGenes, DominantHybrid VigorProteomicsNicotianaNicotinePlant ProteinsNicotinePlant Proteins

Identifiers

PMID34702915
PMCPMC8548390
OpenAlexW3209554447

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.