Evidence map›Paper›PMID 34780562›Full record

ArticlePloS one2021

Integrative analyses of metabolome and transcriptome reveals metabolomic variations and candidate genes involved in sweet cherry (Prunus avium L.) fruit quality during development and ripening.

Haiying Yang, Changping Tian, Shujun Ji, Fengzhu Ni, Xinguang Fan, Yanqing Yang, Chanchan Sun, Hansheng Gong, Aidi Zhang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.2field-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

24 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 3 institutions in 1 country.

Haiying YangSchool of Food Engineering, Ludong University, Yantai, Shandong, 264025, PR China.
Changping TianCherry Research Department, Yantai Agricultural Science and Technology Institute, No.26, West Gangcheng Street, Yantai, 265500, China.
Shujun JiSchool of Food Engineering, Ludong University, Yantai, Shandong, 264025, PR China.
Fengzhu NiSchool of Food Engineering, Ludong University, Yantai, Shandong, 264025, PR China.
Xinguang FanSchool of Food Engineering, Ludong University, Yantai, Shandong, 264025, PR China.
Yanqing YangSchool of Food Engineering, Ludong University, Yantai, Shandong, 264025, PR China.
Chanchan SunKey Laboratory of Food Nutrition and Safety, Tianjin University of Science and Technology, Ministry of Education, Tianjin, 300457, China.
Hansheng GongSchool of Food Engineering, Ludong University, Yantai, Shandong, 264025, PR China.
Aidi ZhangSchool of Food Engineering, Ludong University, Yantai, Shandong, 264025, PR China.ORCID 0000-0001-5100-1554
Ludong University · CNTianjin University of Science and Technology · CNYantai Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sweet cherry (Prunus avium L.), one of the most appreciated and most important commercial temperate fruits, has high sensory quality and nutritional value. Investigating its metabolic variations provides valuable information on the formation of fruit quality. In this study, widely targeted LC-MS/MS based metabolomics was used to identify and quantify metabolic changes during 'Black Pearl' sweet cherry development and ripening. A total of 263 significant differentially expressed metabolites (DEMs) were detected during the four fruit-development stages. Significant differences were observed in the composition and content of compounds in the four stages of cherry development, especially sugars, organic acids, and flavonoids. Moreover, transcriptome analysis provided a molecular basis for metabolic variations during fruit development. A total of 6724 significant differentially expressed genes (DEGs) were identified. Further correlation analysis of major DEMs and DEGs showed that 19 key DEGs were involved in sugar metabolism, 23 key DEGs in organic acid metabolism, and 13 key DEGs in flavonoid metabolism. The upregulated genes involved in the flavonoid pathway probably play an important role in regulating the rapid increase of anthocyanin content during fruit development. These comprehensive analysis data provide a better understanding to improve fruit quality traits based on molecular and metabolic levels.

Indexed as

Quantitative Trait LociChromatography, LiquidFlavonoidsFruitGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Expression Regulation, PlantMetabolic Networks and PathwaysMetabolomicsPlant ProteinsPrunus aviumSequence Analysis, RNASugarsTandem Mass SpectrometryFlavonoidsPlant ProteinsSugars

Identifiers

PMID34780562
PMCPMC8592472
OpenAlexW3214724903

What OpenQuestion holds

Textmetadata
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.