2. Academic Validation
  3. Untargeted Metabolomics Analysis of Eggplant (Solanum melongena L.) Fruit and Its Correlation to Fruit Morphologies

Untargeted Metabolomics Analysis of Eggplant (Solanum melongena L.) Fruit and Its Correlation to Fruit Morphologies

  • Metabolites. 2018 Sep 1;8(3):49. doi: 10.3390/metabo8030049.
Abu Hanifah 1,  Awang Maharijaya 2 3,  Sastia P Putri 4,  Walter A Laviña 5,  Sobir 6 7
Affiliations

Affiliations

  • 1 Department of Agronomy and Horticulture, Bogor Agricultural University, Jl. Meranti, IPB Dramaga Campus Bogor, West Java 16680, Indonesia. [email protected].
  • 2 Department of Agronomy and Horticulture, Bogor Agricultural University, Jl. Meranti, IPB Dramaga Campus Bogor, West Java 16680, Indonesia. [email protected].
  • 3 Center for Tropical Horticulture Studies, Bogor Agricultural University, Bogor 16680, Indonesia. [email protected].
  • 4 Department of Biotechnology, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan. [email protected].
  • 5 Microbiology Division, Institute of Biological Sciences, University of the Philippines Los Baños, Los Baños, Laguna 4031, Philippines. [email protected].
  • 6 Department of Agronomy and Horticulture, Bogor Agricultural University, Jl. Meranti, IPB Dramaga Campus Bogor, West Java 16680, Indonesia. [email protected].
  • 7 Center for Tropical Horticulture Studies, Bogor Agricultural University, Bogor 16680, Indonesia. [email protected].
PMID: 30200482 DOI: 10.3390/metabo8030049
Abstract

Eggplant is one of the most widely cultivated vegetables in the world and has high biodiversity in terms of fruit shape, size, and color. Therefore, fruit morphology and nutrient content become important considerations for both consumers and breeders who develop new eggplant-based products. To gain insight on the diversity of eggplant metabolites, twenty-one eggplant accessions were analyzed by untargeted metabolomics using GC-MS and LC-MS. The dataset of eggplant fruit morphologies, and metabolites specific to different eggplant fruit accessions were used for correlation analysis. Untargeted metabolomics analysis using LC-MS and GC-MS was able to detect 136 and 207 peaks, respectively. Fifty-one (51) metabolites from the LC-MS analysis and 207 metabolites from the GC-MS analysis were putatively identified, which included Alkaloids, terpenes, Terpenoids, fatty acids, and Flavonoids. Spearman correlation analysis revealed that 14 fruit morphologies were correlated with several metabolites. This information will be very useful for the development of strategies for eggplant breeding.

Keywords

GC-MS; LC-MS; eggplant fruit diversity; eggplant fruit morphology; untargeted metabolomics.

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