Next Article in Journal
Metabolomics for Biomarker Discovery: Key Signatory Metabolic Profiles for the Identification and Discrimination of Oat Cultivars
Next Article in Special Issue
Lipidomics-Based Comparison of Molecular Compositions of Green, Yellow, and Red Bell Peppers
Previous Article in Journal
The mwtab Python Library for RESTful Access and Enhanced Quality Control, Deposition, and Curation of the Metabolomics Workbench Data Repository
Previous Article in Special Issue
Identification of Quinone Degradation as a Triggering Event for Intense Pulsed Light-Elicited Metabolic Changes in Escherichia coli by Metabolomic Fingerprinting
Article

Cross-Species Comparison of Metabolomics to Decipher the Metabolic Diversity in Ten Fruits

1
School of Horticulture, Hainan University, Haikou 570288, China
2
School of Tropical Crops, Hainan University, Haikou 570288, China
3
National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
4
Horticultural Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China
*
Authors to whom correspondence should be addressed.
Authors contributed equally to this work.
Academic Editor: Jose Manuel Lorenzo
Metabolites 2021, 11(3), 164; https://doi.org/10.3390/metabo11030164
Received: 20 February 2021 / Revised: 8 March 2021 / Accepted: 9 March 2021 / Published: 12 March 2021
(This article belongs to the Special Issue Metabolomic Analysis in Food Science)
Fruits provide humans with multiple kinds of nutrients and protect humans against worldwide nutritional deficiency. Therefore, it is essential to understand the nutrient composition of various fruits in depth. In this study, we performed LC-MS-based non-targeted metabolomic analyses with ten kinds of fruit, including passion fruit, mango, starfruit, mangosteen, guava, mandarin orange, grape, apple, blueberry, and strawberry. In total, we detected over 2500 compounds and identified more than 300 nutrients. Although the ten fruits shared 909 common-detected compounds, each species accumulated a variety of species-specific metabolites. Additionally, metabolic profiling analyses revealed a constant variation in each metabolite’s content across the ten fruits. Moreover, we constructed a neighbor-joining tree using metabolomic data, which resembles the single-copy protein-based phylogenetic tree. This indicates that metabolome data could reflect the genetic relationship between different species. In conclusion, our work enriches knowledge on the metabolomics of fruits, and provides metabolic evidence for the genetic relationships among these fruits. View Full-Text
Keywords: fruit; nutrient; non-targeted metabolomic analyses; metabolome fruit; nutrient; non-targeted metabolomic analyses; metabolome
Show Figures

Graphical abstract

MDPI and ACS Style

Qi, J.; Li, K.; Shi, Y.; Li, Y.; Dong, L.; Liu, L.; Li, M.; Ren, H.; Liu, X.; Fang, C.; Luo, J. Cross-Species Comparison of Metabolomics to Decipher the Metabolic Diversity in Ten Fruits. Metabolites 2021, 11, 164. https://doi.org/10.3390/metabo11030164

AMA Style

Qi J, Li K, Shi Y, Li Y, Dong L, Liu L, Li M, Ren H, Liu X, Fang C, Luo J. Cross-Species Comparison of Metabolomics to Decipher the Metabolic Diversity in Ten Fruits. Metabolites. 2021; 11(3):164. https://doi.org/10.3390/metabo11030164

Chicago/Turabian Style

Qi, Jinwei; Li, Kang; Shi, Yunxia; Li, Yufei; Dong, Long; Liu, Ling; Li, Mingyang; Ren, Hui; Liu, Xianqing; Fang, Chuanying; Luo, Jie. 2021. "Cross-Species Comparison of Metabolomics to Decipher the Metabolic Diversity in Ten Fruits" Metabolites 11, no. 3: 164. https://doi.org/10.3390/metabo11030164

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop