Proteomic insights in Acrocomia aculeata: Optimizing sample preparation techniques for analysis of an oleaginous alternative crop

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Authors: Wassali Valadares de Sousa, Yara Martins da Silva, Milene de Figueiredo, Sérgio Yoshimitsu Motoike, Gilberto B. Domont, Kacilda Naomi Kuki, Fábio César Sousa Nogueira
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References: 32

Abstract

Proteomics of Acrocomia aculeata ( macauba palm), a highly oleaginous tropical species, has been limited by its fibrous, carbohydrate- and lipid-rich tissues. This study reports the first proteomic characterization of its mesocarp and endosperm, establishing optimized workflows for mass spectrometry-based proteomics analysis. Across five tested protocols, 3223 proteins were identified in mesocarp and 942 in endosperm, including storage globulins, metabolite interconversion enzymes, translational proteins, and stress-response factors. The S-Trap (ST) method provided the best performance in the endosperm, with 239 unique proteins, enhanced recovery of Golgi and nuclear proteins, and the lowest variability (median CV ~25%). Conversely, the phenol-saturated protocol (P-In) excelled in the mesocarp, identifying up to 2248 proteins, particularly plastidial and vacuolar classes. These findings demonstrate that protocol selection influences proteomic depth, reproducibility, and functional coverage. By delivering a robust workflow for this non-model crop, our study enables new applications in food proteomics, oil metabolism, and sustainable ingredient development. • First comprehensive proteomic profiling of Acrocomia aculeata fruit tissues. • Efficient extraction from fibrous, lipid- and carbohydrate-rich tissues. • 3200 proteins in mesocarp and 940 in endosperm characterized. • Robust workflow for proteomics in oil-rich tropical non-model species. • Unlocks food potential of A. aculeata as source of oils and proteins.

Fields of Study & Subjects

Advanced Proteomics Techniques and Applications Food and Agricultural Sciences Proteins in Food Systems

Publication details

Journal / source
Food Chemistry
Volume
504
Pages
147965–147965
Publication date
13 January 2026
Language
EN