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水果的蛋白质代谢组学分析揭示了对意大利甜樱桃(L.)种质间差异的分子见解。

Proteo-metabolomic analysis of fruits reveals molecular insights into variations among Italian Sweet Cherry ( L.) accessions.

作者信息

De Pascale Sabrina, Troise Antonio Dario, Petriccione Milena, Nunziata Angelina, Cice Danilo, Ferrara Elvira, Scaloni Andrea, Salzano Anna Maria

机构信息

Proteomics, Metabolomics and Mass Spectrometry Laboratory, Institute for the Animal Production System in the Mediterranean Environment (ISPAAM), National Research Council, Portici, Italy.

Research Centre for Olive, Fruit and Citrus Crops, Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria, Caserta, Italy.

出版信息

Front Plant Sci. 2025 Jun 3;16:1591996. doi: 10.3389/fpls.2025.1591996. eCollection 2025.

Abstract

Mass spectrometry-based proteomics and metabolomics tackle the complex interactions between proteins and metabolites in fruits. Independently used to discern phenotypic disparities among plant accessions, these analytical approaches complement well-established DNA fingerprinting methods for assessing genetic variability and hereditary distance. To verify the applicability of integrated proteomic and metabolomic procedures in evaluating phenotypic differences between sweet cherry cultivars, and to potentially relate these findings to specific pomological traits, we conducted a comparative analysis of fruits from ten Italian accessions. We identified 3786 proteins, of which 288 exhibited differential representation between ecotypes, including key components influencing fruit quality and allergenic potential. Furthermore, 64 polyphenols were identified, encompassing anthocyanins, hydroxycinnamic acids, flavanols, hydroxybenzoic acids, flavonols, and flavanones subgroups. Multivariate analysis of total quantitative data outlined cultivar differences and phenotypic relationships. Coherent associations between proteomic and metabolomic data underscored their complementary role in characterizing genetic relationships elucidated through DNA fingerprinting techniques. Proteo-metabolomic results verified a certain correlation between the relative abundance of specific polyphenols, enzymes involved in their metabolism, and color characteristics of fruits. These findings highlight the significance of integrating results from diverse approaches to reveal molecular drivers of ecotype-specific traits and identify biomarkers for selecting and breeding cultivars in the next future.

摘要

基于质谱的蛋白质组学和代谢组学研究水果中蛋白质与代谢物之间的复杂相互作用。这些分析方法独立用于识别植物种质间的表型差异,是评估遗传变异性和遗传距离的成熟DNA指纹识别方法的有力补充。为验证蛋白质组学和代谢组学综合方法在评估甜樱桃品种间表型差异的适用性,并将这些发现与特定的果树学性状相关联,我们对来自十个意大利种质的果实进行了比较分析。我们鉴定出3786种蛋白质,其中288种在生态型间表现出差异表达,包括影响果实品质和致敏潜力的关键成分。此外,还鉴定出64种多酚,包括花青素、羟基肉桂酸、黄烷醇、羟基苯甲酸、黄酮醇和黄烷酮亚组。对总定量数据进行多变量分析,勾勒出品种差异和表型关系。蛋白质组学和代谢组学数据之间的连贯关联突出了它们在通过DNA指纹识别技术阐明遗传关系中的互补作用。蛋白质-代谢组学结果证实了特定多酚的相对丰度、参与其代谢的酶与果实颜色特征之间存在一定的相关性。这些发现凸显了整合不同方法结果以揭示生态型特异性性状的分子驱动因素,并在未来识别用于品种选择和育种的生物标志物的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1f0/12170513/c9b87cf51349/fpls-16-1591996-g001.jpg

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