ArticleBMC plant biology2023
Comparative network analysis reveals the dynamics of organic acid diversity during fruit ripening in peach (Prunus persica L. Batsch).
Article in BMC plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 15 citations in OpenAlex.
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- Changes in Fruit Characteristics of Various Blueberry Cultivars During Ripening Stages.Foods (Basel, Switzerland) · 2026Article
- Comprehensive Analysis of Malate Accumulation in Peaches in Response to Cold Stress Based on Transcriptomics.Food science & nutrition · 2026Article
- Pollen donor selection modulates fruit quality, bioactive profiles, and antioxidant capacity in 'Fengtang' plum (Prunus salicina): links to endogenous hormonal regulation.BMC plant biology · 2025Article
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- Metabolic plasticity and adaptive evolution inFrontiers in plant science · 2025Review
- Transcriptional Regulation of SugarCane Response toJournal of agricultural and food chemistry · 2024Article
- Exploring large-scale gene coexpression networks in peach (Horticulture research · 2024Article
- Non-targeted metabolomics reveals the taste variations duringFrontiers in plant science · 2024Article
- Comparative transcriptome analysis of dioecious floral development in Trachycarpus fortunei using Illumina and PacBio SMRT sequencing.BMC plant biology · 2023Article
- Advancing tree genomics to future proof next generation orchard production.Frontiers in plant science · 2023Review
- Effects of exogenous melatonin on sugar and organic acid metabolism in early-ripening peach fruits.PloS one · 2023Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundOrganic acids are important components that determine the fruit flavor of peach (Prunus persica L. Batsch). However, the dynamics of organic acid diversity during fruit ripening and the key genes that modulate the organic acids metabolism remain largely unknown in this kind of fruit tree which yield ranks sixth in the world.
resultsIn this study, we used 3D transcriptome data containing three dimensions of information, namely time, phenotype and gene expression, from 5 different varieties of peach to construct gene co-expression networks throughout fruit ripening of peach. With the network inferred, the time-ordered network comparative analysis was performed to select high-acid specific gene co-expression network and then clarify the regulatory factors controlling organic acid accumulation. As a result, network modules related to organic acid synthesis and metabolism under high-acid and low-acid comparison conditions were identified for our following research. In addition, we obtained 20 candidate genes as regulatory factors related to organic acid metabolism in peach.
conclusionsThe study provides new insights into the dynamics of organic acid accumulation during fruit ripening, complements the results of classical co-expression network analysis and establishes a foundation for key genes discovery from time-series multiple species transcriptome data.
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