ArticleFoods (Basel, Switzerland)2021
Combined Metabolome and Transcriptome Profiling Reveal Optimal Harvest Strategy Model Based on Different Production Purposes in Olive.
Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Characterization of spatio-temporal variations in carposphere microbial diversity of olive in Longnan, China.World journal of microbiology & biotechnology · 2026Article
- Enhancing agrifood systems with metabolomics: from crop improvement to food quality.Frontiers in molecular biosciences · 2026Review
- Article
- Unraveling the genetic basis of oil quality in olives: a comparative transcriptome analysis.Frontiers in plant science · 2024Article
- Hormonal Content and Gene Expression during Olive Fruit Growth and Ripening.Plants (Basel, Switzerland) · 2023Article
- Characterization of Transcriptome Dynamics during Early Fruit Development in Olive (International journal of molecular sciences · 2023Article
- Bioactive Potential of Minor Italian Olive Genotypes from Apulia, Sardinia and Abruzzo.Foods (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Olive oil has been favored as high-quality edible oil because it contains balanced fatty acids (FAs) and high levels of minor components. The contents of FAs and minor components are variable in olive fruits of different color at harvest time, which render it difficult to determine the optimal harvest strategy for olive oil producing. Here, we combined metabolome, Pacbio Iso-seq, and Illumina RNA-seq transcriptome to investigate the association between metabolites and gene expression of olive fruits at harvest time. A total of 34 FAs, 12 minor components, and 181 other metabolites (including organic acids, polyols, amino acids, and sugars) were identified in this study. Moreover, we proposed optimal olive harvesting strategy models based on different production purposes. In addition, we used the combined Pacbio Iso-seq and Illumina RNA-seq gene expression data to identify genes related to the biosynthetic pathways of hydroxytyrosol and oleuropein. These data lay the foundation for future investigations of olive fruit metabolism and gene expression patterns, and provide a method to obtain olive harvesting strategies for different production purposes.
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Registered trials
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