Comparative network analysis reveals the dynamics of organic acid diversity during fruit ripening in peach (Prunus persica L. Batsch)

BMC Plant Biology

Research

Aidi Zhang¹  Xiujun Zhang¹  Yuepeng Han¹  Huixiang Peng²  Jing Fang²  Kangchen Liu²  Xiaohan Jiang² 

[1] Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, 430074, Wuhan, Hubei, China;Center of Economic Botany, Core Botanical Gardens, Wuhan Botanical Garden, Chinese Academy of Sciences, 430074, Wuhan, Hubei, China;Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, 430074, Wuhan, Hubei, China;Center of Economic Botany, Core Botanical Gardens, Wuhan Botanical Garden, Chinese Academy of Sciences, 430074, Wuhan, Hubei, China;University of Chinese Academy of Sciences, 100049, Beijing, China;

关键词: Peach;    Fruit ripening;    Organic acid;    Gene co-expression network;    Dynamic network analysis;   

DOI  :  10.1186/s12870-023-04037-w

 received in 2022-07-12, accepted in 2023-01-02,  发布年份 2023

来源: Springer

【 摘 要 】

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.

【 授权许可】

CC BY   
© The Author(s) 2023

【 图 表 】

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