دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Cross-Species Comparison of Metabolomics to Decipher the Metabolic Diversity in Ten Fruits
المؤلفون: Jinwei Qi, Kang Li, Yunxia Shi, Yufei Li, Long Dong, Ling Liu, Mingyang Li, Hui Ren, Xianqing Liu, Chuanying Fang, Jie Luo
المصدر: Metabolites, Vol 11, Iss 3, p 164 (2021)
بيانات النشر: MDPI AG, 2021.
سنة النشر: 2021
المجموعة: LCC:Microbiology
مصطلحات موضوعية: fruit, nutrient, non-targeted metabolomic analyses, metabolome, Microbiology, QR1-502
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2218-1989
Relation: https://www.mdpi.com/2218-1989/11/3/164; https://doaj.org/toc/2218-1989
DOI: 10.3390/metabo11030164
URL الوصول: https://doaj.org/article/10f191f53a1543bf802cb2749177272d
رقم الأكسشن: edsdoj.10f191f53a1543bf802cb2749177272d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:22181989
DOI:10.3390/metabo11030164