2016
DOI: 10.1242/bio.017863
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Metabolomics reveals significant variations in metabolites and correlations regarding the maturation of walnuts (Juglans regia L.)

Abstract: The content of walnut metabolites is related to its nutritive value and physiological characteristics, however, comprehensive information concerning the metabolome of walnut kernels is limited. In this study we analyzed the metabolites of walnut kernels at five developmental stages from filling to ripening using GC-MS-based untargeted metabolomics; of a total 252 peaks identified, 85 metabolites were positively identified. Further statistical analysis revealed that these 85 metabolites covered different types … Show more

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Cited by 90 publications
(56 citation statements)
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“…A study of dynamic metabolite changes during kernel maturation, using gas chromatography-mass spectrometry (GC-MS), investigated changes during kernel ripening (Rao et al 2016). A total of 252 metabolites were detected and among these, 36.47% were organic acid metabolites, 20% were involved in carbohydrate metabolism, 17.64% in amino acid metabolism, 11.76% in amine metabolism, 7.05% in phosphate metabolism, and 5.88% in lipid metabolism.…”
Section: Metabolomics Workmentioning
confidence: 99%
“…A study of dynamic metabolite changes during kernel maturation, using gas chromatography-mass spectrometry (GC-MS), investigated changes during kernel ripening (Rao et al 2016). A total of 252 metabolites were detected and among these, 36.47% were organic acid metabolites, 20% were involved in carbohydrate metabolism, 17.64% in amino acid metabolism, 11.76% in amine metabolism, 7.05% in phosphate metabolism, and 5.88% in lipid metabolism.…”
Section: Metabolomics Workmentioning
confidence: 99%
“…Yohimbic acid was thus identified as the most influential upregulated metabolite and vinpocetine was the most influential downregulated metabolite between groups 1 and 2. Differentially expressed metabolite correlation analysis was used to study the consistency of the trends among metabolites [39,40]. The correlations between individual metabolites were analyzed by calculating the Pearson correlation coefficients or the Spearman rank correlation coefficients for all metabolite pairs.…”
Section: Metabolomics Analysis Of Tender Coconut Watermentioning
confidence: 99%
“…Pairwise correlation analysis is helpful to identify biosynthetically related and coordinately regulated metabolites; [26][27][28] it was performed to study the relationships between the 13 main differential biomarkers of all sample groups. The correlation matrix is shown in Fig.…”
Section: Metabolomic Analyses Of Matured Coconut Water Among All Groupsmentioning
confidence: 99%