Evidence map›Paper›PMID 30519825›Full record

ArticlePlant molecular biology2019

Transcription profiles reveal the regulatory mechanisms of spur bud changes and flower induction in response to shoot bending in apple (Malus domestica Borkh.).

Libo Xing, Dong Zhang, Siyan Qi, Xilong Chen, Na An, Youmei Li, Caiping Zhao, Mingyu Han, Juan Zhao

Abstract read
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In one paragraph

Article in Plant molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.1field-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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  9. Article
  10. The MADS-Box GeneFrontiers in plant science · 2020
    Article
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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

9 authors at 1 institution in 1 country.

Libo XingCollege of Horticulture, Northwest A & F University, Yangling, 712100, Shaanxi, China.
Dong ZhangCollege of Horticulture, Northwest A & F University, Yangling, 712100, Shaanxi, China.
Siyan QiCollege of Horticulture, Northwest A & F University, Yangling, 712100, Shaanxi, China.
Xilong ChenCollege of Horticulture, Northwest A & F University, Yangling, 712100, Shaanxi, China.
Na AnCollege of Horticulture, Northwest A & F University, Yangling, 712100, Shaanxi, China.
Youmei LiCollege of Horticulture, Northwest A & F University, Yangling, 712100, Shaanxi, China.
Caiping ZhaoCollege of Horticulture, Northwest A & F University, Yangling, 712100, Shaanxi, China.
Mingyu HanCollege of Horticulture, Northwest A & F University, Yangling, 712100, Shaanxi, China.
Juan ZhaoCollege of Mechaincal and Electronic Engineering, Northwest A & F University, Yangling, 712100, Shaanxi, China. zhaojuan@nwsuaf.edu.cn.
Northwest A&F University · CN

Funding

National Natural Science Foundation of China 31701664Science and Technology Innovative Engineering Project in the Shaanxi province of China 2017ZDXM-NY-017
6 · The paper itself

Abstract

key messageShoot bending, as an effective agronomic measure, has been widely used to promote flowering in 'Fuji' apple trees. Here, we examined the transcriptional responses of genes in 'Fuji' apple buds at different flowering stages under a shoot-bending treatment using RNA sequencing. A complex genetic crosstalk-regulated network, involving abscisic acid-related genes, starch metabolism and circadian rhythm-related genes, as well as stress response-related genes, was up-regulated by shoot bending, in which were contrbuted to apple flower bud formation in response to shoot-bending conditions. Flower induction plays an important role in the apple tree life cycle, but young trees produce fewer and inferior flower buds. Shoot bending, as an effective agronomic measure, has been widely used to promote flowering in 'Fuji' apple trees. However, little is known about the gene expression network patterns and molecular regulatory mechanisms caused by shoot bending during the induced flowering. Here, we examined the transcriptional responses of genes in 'Fuji' apple buds at different flowering stages under a shoot-bending treatment using RNA sequencing. A steady up-regulation of carbon metabolism-related genes led to relatively high levels of sucrose in early induced flowering stages and starch accumulation during shoot bending. Additionally, global gene expression profiling determined that cytokinin, indole-3-acetic acid, gibberellin synthesis and signalling-related genes were significantly regulated by shoot bending, contributing to cell division and differentiation, bud growth and flower induction. A complex genetic crosstalk-regulated network, involving abscisic acid-related genes, starch metabolism- and circadian rhythm-related genes, as well as stress response-related genes, was up-regulated by shoot bending. Additionally, some transcription factor family genes that were involved in sugar, abscisic acid and stress response signalling were significantly induced by shoot bending. These important flowering genes, which were mainly involved in photoperiod, age and autonomous pathways, were up-regulated by shoot bending. Thus, a complex genetic network of regulatory mechanisms involved in sugar, hormone and stress response signalling pathways may mediate the induction of apple tree flowering in response to shoot-bending conditions.

Indexed as

Gene Expression Regulation, PlantGene Regulatory NetworksSignal TransductionAbscisic AcidCytokininsFlowersGene Expression ProfilingGibberellinsMalusPhotoperiodPlant Growth RegulatorsPlant ShootsStress, PhysiologicalSucroseTreesAbscisic AcidCytokininsgibberellic acidGibberellinsPlant Growth RegulatorsSucroseFlower inductionHormones‘Nagafu No. 2’ apple treesRNA-seqShoot bendingStress responseSugar

Identifiers

PMID30519825
OpenAlexW2902155128

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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.