Evidence map›Paper›PMID 41225321›Full record

ArticleBMC plant biology2025

Malate accumulation and transcriptome patterns during fruit development in sweet Cherry (Prunus avium L.).

Congli Liu, Lei Chen, Xiliang Qi, Lulu Song, Manqing Wang, Shu Han, Ming Li

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Congli LiuNational Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China.
Lei ChenNorthwest A&F University, Yangling, Shaanxi, 712100, China.
Xiliang QiNational Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China.
Lulu SongNational Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China.
Manqing WangNational Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China.
Shu HanNational Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China.
Ming LiNational Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China. liming06@caas.cn.

Funding

Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences CAAS-ASTIP-2025-ZFRINational Natural Science Foundation of China 3210180675
6 · The paper itself

Abstract

backgroundFruit acidity serves as a primary determinant of organoleptic quality in fleshy fruits. Malate predominates and significantly contributes to the fruit flavor profile and palatability in sweet cherry. However, the molecular mechanisms regulating malate accumulation in fruit cells of this species remain poorly understood.

resultsIn this study, we performed quantitative profiling of titratable acidity (TA) in 97 sweet cherry cultivars at maturity, establishing a phenotyping framework for acidity classification. Temporal metabolomic analyses identified malate as the dominant organic acid throughout fruit development, exhibiting a biphasic accumulation pattern. Integrated transcriptomic profiling of high-acid and low-acid fruits across developmental stages revealed 3,643 differentially expressed genes, with functional annotation highlighting six structural genes (PavPEPC3, PavMDH1, PavME1, PavPHA5, PavALMT1, and PavALMT6) whose expression strongly correlated with malate content dynamics. Transcriptional regulatory analysis further identified four candidate transcription factors, among which PavWRKY33 and PavbHLH149 were co-localized with a chromosome 6 quantitative trait locus (QTL)‌ associated with TA variation.

conclusionOur findings establish a comprehensive phenotyping framework for systematic acidity classification in sweet cherry, while elucidating the core genetic regulatory network governing malate accumulation. These mechanistic insights provide a robust scientific foundation for precision breeding strategies aimed at optimizing fruit quality through targeted modulation of acidity profiles.

Indexed as

FruitMalatesPrunus aviumTranscriptomeGene Expression ProfilingGene Expression Regulation, PlantQuantitative Trait LociMalatesmalic acidFruit acidityMalate metabolismSweet cherryTranscriptome sequencing

Identifiers

PMID41225321
PMCPMC12613631

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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.