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Main Authors: Zheng, Ping, Wu, Jiahao, Li, Denglin, Xie, Shiyu, Cai, Xinkai, Xiao, Qiang, Wang, Jing, Yao, Qinglong, Chen, Shengzhen, Liu, Ruoyu, Liang, Yuqin, Zhang, Yangmei, Deng, Biao, Qin, Yuan, Wang, Xiaomei
Format: Artículo científico
Language:en
Published: Plants (Basel, Switzerland) 2025
Online Access:https://pubmed.ncbi.nlm.nih.gov/40805749/
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author Zheng, Ping
Wu, Jiahao
Li, Denglin
Xie, Shiyu
Cai, Xinkai
Xiao, Qiang
Wang, Jing
Yao, Qinglong
Chen, Shengzhen
Liu, Ruoyu
Liang, Yuqin
Zhang, Yangmei
Deng, Biao
Qin, Yuan
Wang, Xiaomei
author_facet Zheng, Ping
Wu, Jiahao
Li, Denglin
Xie, Shiyu
Cai, Xinkai
Xiao, Qiang
Wang, Jing
Yao, Qinglong
Chen, Shengzhen
Liu, Ruoyu
Liang, Yuqin
Zhang, Yangmei
Deng, Biao
Qin, Yuan
Wang, Xiaomei
Zheng, Ping
Wu, Jiahao
Li, Denglin
Xie, Shiyu
Cai, Xinkai
Xiao, Qiang
Wang, Jing
Yao, Qinglong
Chen, Shengzhen
Liu, Ruoyu
Liang, Yuqin
Zhang, Yangmei
Deng, Biao
Qin, Yuan
Wang, Xiaomei
collection PubMed - marine biology
contents Comparative Metabolomics Analysis of Four Pineapple ( L. Merr) Varieties with Different Fruit Quality. Zheng, Ping Wu, Jiahao Li, Denglin Xie, Shiyu Cai, Xinkai Xiao, Qiang Wang, Jing Yao, Qinglong Chen, Shengzhen Liu, Ruoyu Liang, Yuqin Zhang, Yangmei Deng, Biao Qin, Yuan Wang, Xiaomei Understanding the metabolic characteristics of pineapple varieties is crucial for market expansion and diversity. This study performed comparative metabolomic analysis on the "Comte de Paris" (BL) and three Taiwan-introduced varieties: "Tainong No. 11" (XS), "Tainong No. 23" (MG), and "Tainong No. 13" (DM). A total of 551 metabolites were identified across the four varieties, with 231 metabolites exhibiting no significant differences between all varieties. This included major sugars such as sucrose, glucose, and fructose, as well as key acids like citric, malic, and quinic acids, indicating that the in-season maturing fruits of different pineapple varieties can all achieve good sugar-acid accumulation under suitable conditions. The differentially accumulated metabolites (DAMs) that were identified among the four varieties all primarily belonged to several major subclasses, including phenolic acids, flavonoids, amino acids and derivatives, and alkaloids, but the preferentially accumulated metabolites in each variety varied greatly. Specifically, branched-chain amino acids (L-leucine, L-isoleucine, and L-valine) and many DAMs in the flavonoid, phenolic acid, lignan, and coumarin categories were most abundant in MG, which might contribute to its distinct and enriched flavor and nutritional value. XS, meanwhile, exhibited a notable accumulation of aromatic amino acids (L-phenylalanine, L-tryptophan), various phenolic acids, and many lignans and coumarins, which may be related to its unique flavor profile. In DM, the dominant accumulation of jasmonic acid might contribute to its greater adaptability to low temperatures during autumn and winter, allowing off-season fruits to maintain good quality. The main cultivar BL exhibited the highest accumulation of L-ascorbic acid and many relatively abundant flavonoids, making it a good choice for antioxidant benefits. These findings offer valuable insights for promoting different varieties and advancing metabolome-based pineapple improvement programs.
format Artículo científico
id pubmed_40805749
institution PubMed
language en
publishDate 2025
publisher Plants (Basel, Switzerland)
record_format pubmed
spellingShingle Comparative Metabolomics Analysis of Four Pineapple ( L. Merr) Varieties with Different Fruit Quality.
Zheng, Ping
Wu, Jiahao
Li, Denglin
Xie, Shiyu
Cai, Xinkai
Xiao, Qiang
Wang, Jing
Yao, Qinglong
Chen, Shengzhen
Liu, Ruoyu
Liang, Yuqin
Zhang, Yangmei
Deng, Biao
Qin, Yuan
Wang, Xiaomei
Comparative Metabolomics Analysis of Four Pineapple ( L. Merr) Varieties with Different Fruit Quality. Zheng, Ping Wu, Jiahao Li, Denglin Xie, Shiyu Cai, Xinkai Xiao, Qiang Wang, Jing Yao, Qinglong Chen, Shengzhen Liu, Ruoyu Liang, Yuqin Zhang, Yangmei Deng, Biao Qin, Yuan Wang, Xiaomei Understanding the metabolic characteristics of pineapple varieties is crucial for market expansion and diversity. This study performed comparative metabolomic analysis on the "Comte de Paris" (BL) and three Taiwan-introduced varieties: "Tainong No. 11" (XS), "Tainong No. 23" (MG), and "Tainong No. 13" (DM). A total of 551 metabolites were identified across the four varieties, with 231 metabolites exhibiting no significant differences between all varieties. This included major sugars such as sucrose, glucose, and fructose, as well as key acids like citric, malic, and quinic acids, indicating that the in-season maturing fruits of different pineapple varieties can all achieve good sugar-acid accumulation under suitable conditions. The differentially accumulated metabolites (DAMs) that were identified among the four varieties all primarily belonged to several major subclasses, including phenolic acids, flavonoids, amino acids and derivatives, and alkaloids, but the preferentially accumulated metabolites in each variety varied greatly. Specifically, branched-chain amino acids (L-leucine, L-isoleucine, and L-valine) and many DAMs in the flavonoid, phenolic acid, lignan, and coumarin categories were most abundant in MG, which might contribute to its distinct and enriched flavor and nutritional value. XS, meanwhile, exhibited a notable accumulation of aromatic amino acids (L-phenylalanine, L-tryptophan), various phenolic acids, and many lignans and coumarins, which may be related to its unique flavor profile. In DM, the dominant accumulation of jasmonic acid might contribute to its greater adaptability to low temperatures during autumn and winter, allowing off-season fruits to maintain good quality. The main cultivar BL exhibited the highest accumulation of L-ascorbic acid and many relatively abundant flavonoids, making it a good choice for antioxidant benefits. These findings offer valuable insights for promoting different varieties and advancing metabolome-based pineapple improvement programs.
title Comparative Metabolomics Analysis of Four Pineapple ( L. Merr) Varieties with Different Fruit Quality.
url https://pubmed.ncbi.nlm.nih.gov/40805749/