Evidence map›Paper›PMID 41126380›Full record

ReviewMolecular horticulture2025

Malate metabolism in horticultural crops: mechanistic insights and agricultural practices for quality improvement.

Ting-Ting Zhao, Lian-Da Du, Chu-Kun Wang, Meng-Meng Wei, Da-Gang Hu

Abstract readReview
In one paragraph

Review in Molecular horticulture, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Ting-Ting Zhao *National Research Center for Apple Engineering and Technology, Shandong Collaborative Innovation Center of Fruit & Vegetable Quality and Efficient Production, College of Horticultural Science and Engineering, Shandong Agricultural University, Tai'an, Shandong, 271018, China.
Lian-Da Du *National Research Center for Apple Engineering and Technology, Shandong Collaborative Innovation Center of Fruit & Vegetable Quality and Efficient Production, College of Horticultural Science and Engineering, Shandong Agricultural University, Tai'an, Shandong, 271018, China.
Chu-Kun Wang *National Research Center for Apple Engineering and Technology, Shandong Collaborative Innovation Center of Fruit & Vegetable Quality and Efficient Production, College of Horticultural Science and Engineering, Shandong Agricultural University, Tai'an, Shandong, 271018, China.
Meng-Meng Wei *National Research Center for Apple Engineering and Technology, Shandong Collaborative Innovation Center of Fruit & Vegetable Quality and Efficient Production, College of Horticultural Science and Engineering, Shandong Agricultural University, Tai'an, Shandong, 271018, China.
Da-Gang HuNational Research Center for Apple Engineering and Technology, Shandong Collaborative Innovation Center of Fruit & Vegetable Quality and Efficient Production, College of Horticultural Science and Engineering, Shandong Agricultural University, Tai'an, Shandong, 271018, China. fap_296566@163.com.ORCID http://orcid.org/0000-0002-1443-3646

Funding

Natural Science Foundation of Shandong Province 2023CXGC010709Natural Science Foundation of Shandong Province ZR2024QC255Taishan Scholar Project Special Funds of China tsqnz20231206the National Key Research and Development Program of China 2022YFD2100100the National Key Research and Development Program of China 2023YFD2301000
6 · The paper itself

Abstract

Malate metabolism bridges plant evolutionary adaptation and fruit quality regulation, serving dual roles in energy metabolism (tricarboxylic acid cycle/glycolysis) and environmental stress responses (stomatal control, pH balance). In horticulture, apple malate content dictates flavor profiles, driving divergent consumer preferences (high-sugar in Asia vs. tartness in the West), necessitating precision breeding targeting vacuolar accumulation mechanisms. Recent bioinformatic studies and transporter biology (e.g., Ma1, ALMT) have revealed genetic regulators of malate homeostasis, yet transcriptional regulation and post-translational modifications (PTMs) of transporters remain poorly understood. Notably, cultivated varieties exhibit distinct malate-related traits compared to their wild relatives, a divergence attributable to artificial selection during domestication. Additionally, agroecological factors including light, temperature, and soil conditions, dynamically regulate malate biosynthesis and storage. This metabolic plasticity reflects evolutionary adaptations influenced by domestication. This review integrates molecular physiology and domestication genetics to dissect cross-scale regulation of malate networks. We propose a transporter-engineering framework for developing market-tailored varieties and highlight unresolved questions, including PTM-mediated transporter regulation and metabolic plasticity modeling for climate-resilient crops. Bridging evolutionary adaptation with quality-driven breeding targeting malate, this synthesis advances strategies for sustainable horticulture in shifting agroclimatic landscapes.

Indexed as

Acid trapEvolutionary adaptationFruit qualityMalate metabolismVacuolar transport

Identifiers

PMID41126380
PMCPMC12548192

What OpenQuestion holds

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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.