Distinct metabolic signatures of ploidy and cold storage in blueberry fruit revealed by integrative metabolomics and machine learning
Molla F. Mengist, Zaid Abraha-Eyob, Massimo Iorizzo
TL;DR
The study shows how cold storage and ploidy affect blueberry metabolism, with sugars and flavonoids being key factors.
Contribution
The novel integration of metabolomics and machine learning reveals distinct metabolic signatures influenced by ploidy and cold storage.
Findings
Cold storage increases fructose while decreasing glucose, with total sugar remaining stable.
Flavonoid biosynthesis is the most affected pathway by cold storage.
Terpenoids are strong predictors of sugar-related quality traits in blueberries.
Abstract
•Cold storage and ploidy shape the blueberry metabolome independently.•Sugar shifts during storage: more fructose, less glucose, stable total sugar.•Terpenoids are strong predictors of sugar-related quality traits.•Flavonoid biosynthesis is the top pathway affected by cold storage. Cold storage and ploidy shape the blueberry metabolome independently. Sugar shifts during storage: more fructose, less glucose, stable total sugar. Terpenoids are strong predictors of sugar-related quality traits. Flavonoid biosynthesis is the top pathway affected by cold storage.
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Taxonomy
TopicsPostharvest Quality and Shelf Life Management · Plant Gene Expression Analysis · Phytochemicals and Antioxidant Activities