SWATH-MS proteomics and postharvest analyses of mangosteen ripening revealed intricate regulation of carbohydrate metabolism and secondary metabolite biosynthesis

•This is the first report of mangosteen proteome profiling during ripening.•SWATH-MS approach allows a comprehensive protein identification and quantification.•Out of 3397 identified proteins, 277 proteins were differentially expressed (DEP).•DEPs were involved in carbohydrate metabolism and seconda...

Full description

Saved in:
Bibliographic Details
Published in:Postharvest biology and technology 2021-06, Vol.176, p.111493, Article 111493
Main Authors: Jamil, Ili Nadhirah, Sanusi, Salahuddin, Mackeen, Mukram Mohamed, Noor, Normah Mohd, Aizat, Wan Mohd
Format: Article
Language:English
Subjects:
1-Aminocyclopropane-1-carboxylate oxidase
Acidity
Ammonia
Anthocyanins
Anticancer properties
Antiinfectives and antibacterials
Antioxidants
Benzophenone
Biological activity
Biosynthesis
Carbohydrate metabolism
Carbohydrates
Cell walls
Cluster analysis
Clustering
Data-independent acquisition
Fruits
Garcinia mangostana
Information-dependent acquisition
Liquid chromatography–mass spectrometry
Mangostin
Mass spectra
Metabolic pathways
Metabolism
Metabolites
Microbial activity
Microorganisms
Oxidants
Oxidizing agents
Phenolic compounds
Phenols
Phenylalanine
Phenylalanine ammonia-lyase
Polygalacturonase
Proteins
Proteomes
Proteomics
Pyruvate kinase
Pyruvic acid
Regulations
Ripening
Secondary metabolites
Vector quantization
Xanthone
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•This is the first report of mangosteen proteome profiling during ripening.•SWATH-MS approach allows a comprehensive protein identification and quantification.•Out of 3397 identified proteins, 277 proteins were differentially expressed (DEP).•DEPs were involved in carbohydrate metabolism and secondary metabolite biosynthesis.•Postharvest analyses further corroborated the proteomics data. Mangosteen (Garcinia mangostana L.) is a tropical fruit with numerous beneficial properties such as anti-cancer, anti-oxidant, and anti-microbial activity. This is due to the presence of potent secondary metabolites such as phenolics, and xanthones, which are differentially accumulated during ripening. However, the molecular regulation that governs mangosteen ripening and hence metabolic changes has not been fully elucidated, especially at the proteome level. This study details the first proteomic report on mangosteen ripening, particularly utilizing Sequential Windowed Acquisition of All Theoretical-Mass Spectra (SWATH-MS) analysis. Furthermore, postharvest analyses such as color changes, fruit firmness, anthocyanin content, total phenolic content, antioxidant activity, soluble solid content and titratable acidity were performed to further corroborate the proteome changes. Out of 3397 total identified proteins, 277 proteins were statistically measured as differentially expressed proteins (DEPs) and grouped into eight different expression clusters by k-means clustering analysis. Some of the key DEPs involved in ripening-related biological processes include 1-aminocyclopropane-1-carboxylate oxidase (ACO) (ethylene biosynthesis), pyruvate kinase (PK) (carbohydrate metabolism), polygalacturonase (PG) (cell wall modification) and phenylalanine ammonia-lyase (PAL) (secondary metabolite biosynthesis) which displayed increasing expression patterns during early (Stage 0 to Stage 2) and/or late (Stage 2 to Stage 6) ripening period. Coherently, the protein trends were also mostly consistent with the recorded postharvest characteristics, highlighting the underlying regulation contributing to the physiological changes of this unique fruit. Interestingly, all five benzophenone synthases (BPS) proteins involved in xanthone biosynthesis were not differentially expressed, speculating that other enzymes within this pathway could be responsible for the compound regulation. Future work should identify and characterize poorly annotated proteins within this dataset to further enrich key metabo
ISSN:0925-5214
1873-2356
DOI:10.1016/j.postharvbio.2021.111493