Shotgun proteomics of peach fruit reveals major metabolic pathways associated to ripening [post]

Ricardo Nilo-Poyanco, Carol Moraga, Gianfranco Benedetto, Ariel Orellana, Andréa Miyasaka Almeida
2020 unpublished
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
more » ... sing 1D-gel (PAGE-SDS) as fractionation method followed by LC/MS-MS analysis. Data from the 131,435 spectra could be matched to 2,740 proteins, using the peach genome reference v1. After data pre-treatment, 1,663 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 and an ACC oxidase. These genes would be regulated by transcription factors enriched in zinc finger and GAGA-binding transcriptional activator protein domains.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 firm to soft fruit.
doi:10.21203/ fatcat:5h7ibzmn7zg4hat3rczvpkoysy