Evidence map›Paper›PMID 28550410›Full record

ArticlePlanta2017

Different exogenous sugars affect the hormone signal pathway and sugar metabolism in "Red Globe" (Vitis vinifera L.) plantlets grown in vitro as shown by transcriptomic analysis.

Juan Mao, Wenfang Li, Baoqin Mi, Mohammed Mujitaba Dawuda, Alejandro Calderón-Urrea, Zonghuan Ma, Yongmei Zhang, Baihong Chen

Abstract read
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In one paragraph

Article in Planta, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  4. Article
  5. Article
  6. Article
  7. Article
  8. Transcriptome Analysis Reveals Cotton (International journal of molecular sciences · 2019
    Article
  9. Article
  10. Article
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 3 countries.

Juan MaoCollege of Horticulture, Gansu Agricultural University, Lanzhou, 730070, People's Republic of China.
Wenfang LiCollege of Horticulture, Gansu Agricultural University, Lanzhou, 730070, People's Republic of China.
Baoqin MiCollege of Horticulture, Gansu Agricultural University, Lanzhou, 730070, People's Republic of China.
Mohammed Mujitaba DawudaCollege of Horticulture, Gansu Agricultural University, Lanzhou, 730070, People's Republic of China.
Alejandro Calderón-UrreaDepartment of Biology, California State University, Fresno, CA, 93740, USA.
Zonghuan MaCollege of Horticulture, Gansu Agricultural University, Lanzhou, 730070, People's Republic of China.
Yongmei ZhangInstrumental Researches and Analysis Center, Gansu Agricultural University, Lanzhou, 730070, People's Republic of China.
Baihong ChenCollege of Horticulture, Gansu Agricultural University, Lanzhou, 730070, People's Republic of China. bhch@gsau.edu.cn.
Gansu Agricultural University · CNCalifornia State University, Fresno · US

Funding

National Natural Science Foundation of China 31460499National Natural Science Foundation of China 31460500
6 · The paper itself

Abstract

MAIN

conclusionExogenously applied 2% fructose is the most appropriate carbon source that enhances photosynthesis and growth of grape plantlets compared with the same concentrations of sucrose and glucose. The role of the sugars was regulated by the expression of key candidate genes related to hormones, key metabolic enzymes, and sugar metabolism of grape plantlets ( Vitis vinifera L.) grown in vitro. The addition of sugars including sucrose, glucose, and fructose is known to be very helpful for the development of grape (V. vinifera L.) plantlets in vitro. However, the mechanisms by which these sugars regulate plant development and sugar metabolism are poorly understood. In grape plantlets, sugar metabolism and hormone synthesis undergo special regulation. In the present study, transcriptomic analyses were performed on grape (V. vinifera L., cv. Red Globe) plantlets in an in vitro system, in which the plantlets were grown in 2% each of sucrose (S20), glucose (G20), and fructose (F20). The sugar metabolism and hormone synthesis of the plantlets were analyzed. In addition, 95.72-97.29% high-quality 125 bp reads were further analyzed out of which 52.65-60.80% were mapped to exonic regions, 13.13-28.38% to intronic regions, and 11.59-28.99% to intergenic regions. The F20, G20, and S20 displayed elevated sucrose synthase (SS) activities; relative chlorophyll contents; Rubisco activity; and IAA and zeatin (ZT) contents. We found F20 improved the growth and development of the plantlets better than G20 and S20. Sugar metabolism was a complex process, which depended on the balanced expression of key potential candidate genes related to hormones (TCP15, LOG3, IPT3, ETR1, HK2, HK3, CKX7, SPY, GH3s, MYBH, AGB1, MKK2, PP2C, PYL, ABF, SnRK, etc.), key metabolic enzymes (SUS, SPS, A/V-INV, and G6PDH), and sugar metabolism (BETAFRUCT4 and AMY). Moreover, sugar and starch metabolism controls the generation of plant hormone transduction pathway signaling molecules. Our dataset advances our knowledge of the genes involved in sugar metabolism and improves the understanding of complex regulatory networks involved in signal transduction in grape plantlets.

Indexed as

ChlorophyllFructoseGene Expression ProfilingGene Expression Regulation, PlantGlucoseIn Vitro TechniquesPlant Growth RegulatorsPlant LeavesReal-Time Polymerase Chain ReactionSequence Analysis, DNASignal TransductionSucroseSugarsVitisChlorophyllFructoseGlucosePlant Growth RegulatorsSucroseSugarsEnzyme activityExogenous sugarGrapeHormone signal pathwayPlantletSugar metabolismTranscriptomic analysis

Identifiers

PMID28550410
OpenAlexW2620447404

What OpenQuestion holds

Textmetadata
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.