ArticleScientific reports2018
Genetic diversity of strawberry germplasm using metabolomic biomarkers.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Integrated Transcriptomics and Metabolomic Profiling Suggests That Thymol Adaptation Induces Multi-Layered Envelope and Metabolic Perturbations That SensitizeInternational journal of molecular sciences · 2026Article
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- A full genome assembly reveals drought stress effects on gene expression and metabolite profiles in blackcurrant (Horticulture research · 2025Article
- A Dominance Hypothesis Argument for Historical Genetic Gains and the Fixation of Heterosis in Octoploid Strawberry.Genetics · 2024Article
- Article
- Tracking the Variations in Trace Elements, Some Nutrients, Phenolics, and Anthocyanins in Grewia asiatica L. (Phalsa) at Different Fruit Development Stages.Biological trace element research · 2024Article
- Advances in genomics and genome editing for improving strawberry (Frontiers in genetics · 2024Review
- Comparative Anatomical and Transcriptomics Reveal the Larger Cell Size as a Major Contributor to Larger Fruit Size in Apricot.International journal of molecular sciences · 2023Article
- Capsicum Leaves under Stress: Using Multi-Omics Analysis to Detect Abiotic Stress Network of Secondary Metabolism in Two Species.Antioxidants (Basel, Switzerland) · 2022Article
- Molecular Characterization of Wild and Cultivated Strawberry (Genetics research · 2022Article
- The NAC transcription factor FaRIF controls fruit ripening in strawberry.The Plant cell · 2021Article
- Strawberry sweetness and consumer preference are enhanced by specific volatile compounds.Horticulture research · 2021Article
- Review
- Genotype and Successive Harvests Interaction Affects Phenolic Acids and Aroma Profile of Genovese Basil for Pesto Sauce Production.Foods (Basel, Switzerland) · 2021Article
- Allelic Variation ofThe Plant cell · 2020Article
- Genetic analysis of phenylpropanoids and antioxidant capacity in strawberry fruit reveals mQTL hotspots and candidate genes.Scientific reports · 2020Article
- Multi-dimensional machine learning approaches for fruit shape phenotyping in strawberry.GigaScience · 2020Article
- Characterizing the involvement of FaMADS9 in the regulation of strawberry fruit receptacle development.Plant biotechnology journal · 2020Article
- Comparative transcriptome analyses of fruit development among pears, peaches, and strawberries provide new insights into single sigmoid patterns.BMC plant biology · 2020Article
- The sugar transporter system of strawberry: genome-wide identification and expression correlation with fruit soluble sugar-related traits in aHorticulture research · 2020Article
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9 authors.
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Abstract
High-throughput metabolomics technologies can provide the quantification of metabolites levels across various biological processes in different tissues, organs and species, allowing the identification of genes underpinning these complex traits. Information about changes of metabolites during strawberry development and ripening processes is key to aiding the development of new approaches to improve fruit attributes. We used network-based methods and multivariate statistical approaches to characterize and investigate variation in the primary and secondary metabolism of seven domesticated and seven wild strawberry fruit accessions at three different fruit development and ripening stages. Our results demonstrated that Fragaria sub-species can be identified solely based on the gathered metabolic profiles. We also showed that domesticated accessions displayed highly similar metabolic changes due to shared domestication history. Differences between domesticated and wild accessions were detected at the level of metabolite associations which served to rank metabolites whose regulation was mostly altered in the process of domestication. The discovery of comprehensive metabolic variation among strawberry accessions offers opportunities to probe into the genetic basis of variation, providing insights into the pathways to relate metabolic variation with important traits.
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