Evidence map›Paper›PMID 36768192›Full record

ArticleInternational journal of molecular sciences2023

Combined Metabolome and Transcriptome Analyses Unveil the Molecular Mechanisms of Fruit Acidity Variation in Litchi (

Yonghua Jiang, Yingwei Qi, Xilong Chen, Qian Yan, Jiezhen Chen, Hailun Liu, Fachao Shi, Yingjie Wen, Changhe Cai, Liangxi Ou

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. 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
–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

11 citing papers in PubMed.

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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.

Yonghua JiangInstitute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences/Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangzhou 510640, China.
Yingwei QiSericultural & Agri-Food Research Institute Guangdong Academy of Agricultural Sciences, Key Laboratory of Functional Foods, Ministry of Agriculture and Rural Affairs, Guangdong Key Laboratory of Agricultural Products Processing, Guangzhou 510610, China.
Xilong ChenQuantitative Genetics and Evolution Laboratory, Paris-Saclay University/INRAE/CNRS/AgroParisTech/GQE-Le Moulon, 91190 Gif-sur-Yvette, France.ORCID 0000-0003-1588-6564
Qian YanInstitute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences/Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangzhou 510640, China.
Jiezhen ChenInstitute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences/Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangzhou 510640, China.
Hailun LiuInstitute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences/Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangzhou 510640, China.
Fachao ShiInstitute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences/Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangzhou 510640, China.
Yingjie WenInstitute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences/Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangzhou 510640, China.
Changhe CaiInstitute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences/Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangzhou 510640, China.
Liangxi OuInstitute of Fruit Tree Research, Guangdong Academy of Agricultural Sciences/Key Laboratory of South Subtropical Fruit Biology and Genetic Resource Utilization, Ministry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Tropical and Subtropical Fruit Tree Research, Guangzhou 510640, China.

Funding

Demonstration of key problems in litchi industry 403-2018-XMZC-0002-90 (TS-1-3)National Horticultural Germplasm Bank NHGRC2022-NH17National Litchi longan industrial technology system CARS-32-01, CARS-33-01President's Foundation of Guangdong Academy of Agricultural Sciences 201914The National Key R&D Program of China 2019YFD1000900The Natural Science Foundation of Guangdong 2021A1515011031
6 · The paper itself

Abstract

Fruit acidity determines the organoleptic quality and nutritive value of most fruits. In litchi, although the organic acid composition of pulps is known, the molecular mechanisms and genes underlying variation in fruit acidity remain elusive. Herein, developing pulps of two contrasting litchi varieties, Huaizhi (HZ, low-acidity) and Boye_No.8 (B8, high-acidity), were subjected to metabolomics and transcriptomics, and the dynamic metabolome and transcriptional changes were determined. Measurements revealed that the dominant acidity-related organic acid in litchi pulps is malate, followed in low levels by citrate and tartrate. Variation in litchi pulps' acidity is mainly associated with significant differences in malate and citrate metabolisms during fruit development. Malic acid content decreased by 91.43% and 72.28% during fruit ripening in HZ and B8, respectively. The content of citric acid increased significantly in B8, while in HZ it was reduced considerably. Differentially accumulated metabolites and differentially expressed genes analyses unveiled fumarate, succinate, 2-oxoglutarate, GABA (γ-aminobutyric acid), phosphoenolpyruvate, and citrate metabolisms as the key driving pathways of litchi fruits' acidity variation. The drastic malate and citrate degradation in HZ was linked to higher induction of fumarate and GABA biosynthesis, respectively. Thirty candidate genes, including three key genes (

Indexed as

FruitLitchigamma-Aminobutyric AcidGene Expression ProfilingMalatesMetabolomegamma-Aminobutyric AcidMalatesmalic acidfruit acidityfumarateGABAlitchimalate metabolismmetabolomicstranscriptome sequencing

Identifiers

PMID36768192
PMCPMC9916176

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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.