Evidence map›Paper›PMID 32274590›Full record

ArticlePlanta2020

Carotenogenesis and chromoplast development during ripening of yellow, orange and red colored Physalis fruit.

Xin Wen, Annerose Heller, Kunli Wang, Qianyun Han, Yuanying Ni, Reinhold Carle, Ralf Schweiggert

Abstract read
PubMed Publisher
In one paragraph

Article in Planta, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Untargeted metabolomics analysis ofFrontiers in nutrition · 2025
    Article
  2. Unraveling the Genetic Control of Pigment Accumulation in Physalis Fruits.International journal of molecular sciences · 2024
    Article
  3. Review
  4. Medicinal Plants in Peru as a Source of Immunomodulatory Drugs Potentially Useful Against COVID-19.Revista brasileira de farmacognosia : orgao oficial da Sociedade Brasileira de Farmacognosia · 2023
    Review
  5. Frontiers in pharmacology · 2023
    Article
  6. Article
  7. Review
  8. Review
  9. Quality ofHeliyon · 2021
    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

7 authors at 3 institutions in 3 countries.

Xin WenCollege of Food Science and Nutritional Engineering, National Engineering Research Center for Fruit and Vegetable Processing, Key Laboratory of Fruit and Vegetable Processing, Ministry of Agriculture, China Agricultural University, Beijing, 100083, China.
Annerose HellerInstitute of Botany, University of Hohenheim, 70599, Stuttgart, Germany.
Kunli WangCollege of Food Science and Nutritional Engineering, National Engineering Research Center for Fruit and Vegetable Processing, Key Laboratory of Fruit and Vegetable Processing, Ministry of Agriculture, China Agricultural University, Beijing, 100083, China.
Qianyun HanCollege of Food Science and Nutritional Engineering, National Engineering Research Center for Fruit and Vegetable Processing, Key Laboratory of Fruit and Vegetable Processing, Ministry of Agriculture, China Agricultural University, Beijing, 100083, China.
Yuanying NiCollege of Food Science and Nutritional Engineering, National Engineering Research Center for Fruit and Vegetable Processing, Key Laboratory of Fruit and Vegetable Processing, Ministry of Agriculture, China Agricultural University, Beijing, 100083, China. niyycau@hotmail.com.
Reinhold CarleChair of Plant Foodstuff Technology and Analysis, Institute of Food Science and Biotechnology, University of Hohenheim, 70599, Stuttgart, Germany.
Ralf SchweiggertChair of Plant Foodstuff Technology and Analysis, Institute of Food Science and Biotechnology, University of Hohenheim, 70599, Stuttgart, Germany.
China Agricultural University · CNUniversity of Hohenheim · DEKing Abdulaziz University · SA

Funding

Postdoctoral Research Foundation of China 2019M650899
6 · The paper itself

Abstract

MAIN

conclusionFormation of specific ultrastructural chromoplastidal elements during ripening of fruits of three different colored Physalis spp. is closely related to their distinct carotenoid profiles. The accumulation of color-determining carotenoids within the chromoplasts of ripening yellow, orange, and red fruit of Physalis pubescens L., Physalis peruviana L., and Physalis alkekengi L., respectively, was monitored by high-performance liquid chromatography/diode array detector/tandem mass spectrometry (HPLC-DAD-MS/MS) as well as light and transmission electron microscopy. Both yellow and orange fruit gradually accumulated mainly β-carotene and lutein esters at variable levels, explaining their different colors at full ripeness. Upon commencing β-carotene biosynthesis, large crystals appeared in their chromoplasts, while large filaments protruding from plastoglobules were characteristic elements of chromoplasts of orange fruit. In contrast to yellow and orange fruit, fully ripe red fruit contained almost no β-carotene, but esters of both β-cryptoxanthin and zeaxanthin at very high levels. Tubule bundles and unusual disc-like crystallites were predominant carotenoid-bearing elements in red fruit. Our study supports the earlier hypothesis that the predominant carotenoid type might shape the ultrastructural carotenoid deposition form, which is considered important for color, stability and bioavailability of the contained carotenoids.

Indexed as

beta CaroteneCarotenoidsChromatography, High Pressure LiquidColorFruitLuteinPhysalisPigmentationPlastidsTandem Mass SpectrometryZeaxanthinsbeta CaroteneCarotenoidsLuteinZeaxanthinsCarotenoidsDepositionDisc-like crystallitesTubulesUltrastructureXanthophyll esters

Identifiers

PMID32274590
OpenAlexW3015460980

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.