Evidence map›Paper›PMID 30577771›Full record

ArticleBMC plant biology2018

Comparative RNA-sequencing-based transcriptome profiling of buds from profusely flowering 'Qinguan' and weakly flowering 'Nagafu no. 2' apple varieties reveals novel insights into the regulatory mechanisms underlying floral induction.

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

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC plant biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 37 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

10 authors at 3 institutions in 2 countries.

Xilong ChenCollege of Horticulture, Northwest Agriculture & Forestry University, Yangling, 712100, Shaanxi, China.ORCID http://orcid.org/0000-0003-1588-6564
Siyan QiCollege of Horticulture, Northwest Agriculture & Forestry University, Yangling, 712100, Shaanxi, China.
Dong ZhangCollege of Horticulture, Northwest Agriculture & Forestry University, Yangling, 712100, Shaanxi, China.
Youmei LiCollege of Horticulture, Northwest Agriculture & Forestry University, Yangling, 712100, Shaanxi, China.
Na AnCollege of Horticulture, Northwest Agriculture & Forestry University, Yangling, 712100, Shaanxi, China.
Caiping ZhaoCollege of Horticulture, Northwest Agriculture & Forestry University, Yangling, 712100, Shaanxi, China.
Juan ZhaoCollege of Mechanical and Electronic Engineering, Northwest Agriculture & Forestry University, Yangling, 712100, Shaanxi, China.
Kamran ShahCollege of Horticulture, Northwest Agriculture & Forestry University, Yangling, 712100, Shaanxi, China.
Mingyu HanCollege of Horticulture, Northwest Agriculture & Forestry University, Yangling, 712100, Shaanxi, China. hanmy@nwsuaf.edu.cn.
Libo XingCollege of Horticulture, Northwest Agriculture & Forestry University, Yangling, 712100, Shaanxi, China. xinglibo1986@live.com.ORCID http://orcid.org/0000-0002-8918-7128
Northwest A&F University · CNAgriculture and Forestry University · NPNorth West Agriculture and Forestry University · CN

Funding

China Postdoctoral Science Foundation 2017M623254China Postdoctoral Science Foundation 2018M631207Science and Technology Innovative Engineering Project in the Shaanxi province of China 2016KTZDNY01-10Science and Technology Innovative Engineering Project in the Shaanxi province of China 2017ZDXM-NY-017the National Natural Science Foundation of China 31701664the National Natural Science Foundation of China the National Natural Science Foundation of China
6 · The paper itself

Abstract

backgroundFloral induction is an important stage in the apple tree life cycle. In 'Nagafu No. 2', which was derived from a 'Fuji' bud sport, flower bud formation is associated with serious problems, such as fewer and inferior flower buds, a long juvenile phase, and an alternate bearing phenotype. Moreover, the molecular regulatory mechanisms underlying apple floral induction remain unknown. To characterize these mechanisms, we compared the RNA-sequencing-based transcriptome profiles of buds during floral induction in profusely flowering 'Qinguan' and weakly flowering 'Nagafu No. 2' apple varieties.

resultsGenes differentially expressed between the buds of the two varieties were mainly related to carbohydrate, fatty acid, and lipid pathways. Additionally, the steady up-regulated expression of genes related to the fatty acid and lipid pathways and the down-regulated expression of starch synthesis-related genes in the carbon metabolic pathway of 'Qinguan' relative to 'Nagafu No. 2' were observed to contribute to the higher flowering rate of 'Qinguan'. Additionally, global gene expression profiling revealed that genes related to cytokinin, indole-3-acetic acid, and gibberellin synthesis, signalling, and responses (i.e., factors contributing to cell division and differentiation and bud growth) were significantly differentially expressed between the two varieties. The up-regulated expression of genes involved in abscisic acid and salicylic acid biosynthesis via shikimate pathways as well as jasmonic acid production through fatty acid pathways in 'Qinguan' buds were also revealed to contribute to the floral induction and relatively high flowering rate of this variety. The differential expression of transcription factor genes (i.e., SPL, bZIP, IDD, and MYB genes) involved in multiple biological processes was also observed to play key roles in floral induction. Finally, important flowering genes (i.e., FT, FD, and AFL) were significantly more highly expressed in 'Qinguan' buds than in 'Nagafu No. 2' buds during floral induction.

conclusionsA complex genetic network of regulatory mechanisms involving carbohydrate, fatty acid, lipid, and hormone pathways may mediate the induction of apple tree flowering.

Indexed as

Carbohydrate MetabolismFatty AcidsFlowersGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Expression Regulation, PlantLipid MetabolismMalusMetabolic Networks and PathwaysPlant Growth RegulatorsPlant ShootsRNA, PlantSequence Analysis, RNASignal TransductionTranscriptomeFatty AcidsPlant Growth RegulatorsRNA, PlantApple treesCarbonFatty acidsFloral inductionHormonesRNA-seq

Identifiers

PMID30577771
PMCPMC6303880
OpenAlexW2906159869

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LicenceCC BY
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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.