ArticleBMC genomics2021
Shotgun proteomics of peach fruit reveals major metabolic pathways associated to ripening.
Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 19 citations in OpenAlex.
- Optimized Auxin and Cytokinin Interactions Enable Direct Somatic Embryogenesis in the Peach Rootstock 'GuardianInternational journal of molecular sciences · 2025Article
- A reproducible ddRAD-seq protocol reveals novel genomic association signatures for fruit-related traits in peach.Plant methods · 2025Article
- Proteomic analysis to unravel the biochemical mechanisms triggered by Bacillus toyonensis SFC 500-1E under chromium(VI) and phenol stress.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2023Review
- Mucosal and cellular immune responses elicited by nasal and intramuscular inoculation with ASFV candidate immunogens.Frontiers in immunology · 2023Article
- Molecular Insights into Freezing Stress in Peach Based on Multi-Omics and Biotechnology: An Overview.Plants (Basel, Switzerland) · 2022Review
- Comparison of Sample Preparation Methods for Shotgun Proteomic Studies in Aquaculture Species.Proteomes · 2021Article
- Molecular Insights of Fruit Quality Traits in Peaches,Plants (Basel, Switzerland) · 2021Review
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundFruit ripening in Prunus persica melting varieties involves several physiological changes that have a direct impact on the fruit organoleptic quality and storage potential. By studying the proteomic differences between the mesocarp of mature and ripe fruit, it would be possible to highlight critical molecular processes involved in the fruit ripening.
resultsTo accomplish this goal, the proteome from mature and ripe fruit was assessed from the variety O'Henry through shotgun proteomics using 1D-gel (PAGE-SDS) as fractionation method followed by LC/MS-MS analysis. Data from the 131,435 spectra could be matched to 2740 proteins, using the peach genome reference v1. After data pre-treatment, 1663 proteins could be used for comparison with datasets assessed using transcriptomic approaches and for quantitative protein accumulation analysis. Close to 26% of the genes that code for the proteins assessed displayed higher expression at ripe fruit compared to other fruit developmental stages, based on published transcriptomic data. Differential accumulation analysis between mature and ripe fruit revealed that 15% of the proteins identified were modulated by the ripening process, with glycogen and isocitrate metabolism, and protein localization overrepresented in mature fruit, as well as cell wall modification in ripe fruit. Potential biomarkers for the ripening process, due to their differential accumulation and gene expression pattern, included a pectin methylesterase inhibitor, a gibbellerin 2-beta-dioxygenase, an omega-6 fatty acid desaturase, a homeobox-leucine zipper protein and an ACC oxidase. Transcription factors enriched in NAC and Myb protein domains would target preferentially the genes encoding proteins more abundant in mature and ripe fruit, respectively.
conclusionsShotgun proteomics is an unbiased approach to get deeper into the proteome allowing to detect differences in protein abundance between samples. This technique provided a resolution so that individual gene products could be identified. Many proteins likely involved in cell wall and sugar metabolism, aroma and color, change their abundance during the transition from mature to ripe fruit.
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