Evidence map›Paper›PMID 38928811›Full record

ReviewFoods (Basel, Switzerland)2024

Molecular Regulatory Mechanisms Affecting Fruit Aroma.

Haifei Lu, Hongfei Zhao, Tailin Zhong, Danwei Chen, Yaqiong Wu, Zhengwan Xie

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Plants (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
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

6 authors.

Haifei LuCollege of Urban Construction, Zhejiang Shuren University, Hangzhou 310015, China.
Hongfei ZhaoCollege of Urban Construction, Zhejiang Shuren University, Hangzhou 310015, China.
Tailin ZhongCollege of Urban Construction, Zhejiang Shuren University, Hangzhou 310015, China.
Danwei ChenCollege of Urban Construction, Zhejiang Shuren University, Hangzhou 310015, China.
Yaqiong WuInstitute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Nanjing 210014, China.
Zhengwan XieSchool of Tea and Coffee, Puer University, Puer 665000, China.

Funding

the Jiangsu Key Laboratory for the Research and Utilization of Plant Resources Foundation JSPKLB202313
6 · The paper itself

Abstract

Aroma, an important quality characteristic of plant fruits, is produced by volatile organic compounds (VOCs), mainly terpenes, aldehydes, alcohols, esters, ketones, and other secondary metabolites, in plant cells. There are significant differences in the VOC profile of various fruits. The main pathways involved in the synthesis of VOCs are the terpenoid, phenylalanine, and fatty acid biosynthesis pathways, which involve several key enzyme-encoding genes, transcription factors (TFs), and epigenetic factors. This paper reviews the main synthetic pathways of the main volatile components in fruit, summarizes studies on the regulation of aroma formation by key genes and TFs, summarizes the factors affecting the fruit aroma formation, describes relevant studies on the improvement of fruit flavor quality, and finally proposes potential challenges and prospects for future research directions. This study provides a theoretical basis for the further precise control of fruit aroma quality and variety improvement.

Indexed as

aroma substancestructural genesynthesis pathwaytranscription factorvariety improvement

Identifiers

PMID38928811
PMCPMC11203305

What OpenQuestion holds

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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.