Non-targeted metabolite profiling of citrus juices as a tool for variety discrimination and metabolite flow analysis

被引:31
|
作者
Arbona, Vicent [1 ]
Iglesias, Domingo J. [2 ]
Gomez-Cadenas, Aurelio [1 ]
机构
[1] Univ Jaume 1, Ecol Lab & Biotecnol, Dept Ciencies Agraries Medi Nat, E-12071 Castello Plana, Spain
[2] Inst Valenciano Invest Agr, E-46113 Moncada, Spain
来源
BMC PLANT BIOLOGY | 2015年 / 15卷
关键词
Fruit quality; Liquid chromatography; Mass spectrometry; Orange; Phenotyping; Secondary metabolites; LC-MS; MATURATION; TOLERANCE; GLUCOSIDE; MANDARIN; FRUIT;
D O I
10.1186/s12870-015-0430-8
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Background: Genetic diversity of citrus includes intrageneric hybrids, cultivars arising from cross-pollination and/or somatic mutations with particular biochemical compounds such as sugar, acids and secondary metabolite composition. Results: Secondary metabolite profiles of juices from 12 commercial varieties grouped into blonde and navel types, mandarins, lemons and grapefruits were analyzed by LC/ESI-QTOF-MS. HCA on metabolite profiling data revealed the existence of natural groups demarcating fruit types and varieties associated to specific composition patterns. The unbiased classification provided by HCA was used for PLS-DA to find the potential variables (mass chromatographic features) responsible for the classification. Abscisic acid and derivatives, several flavonoids and limonoids were identified by analysis of mass spectra. To facilitate interpretation, metabolites were represented as flow charts depicting biosynthetic pathways. Mandarins 'Fortune' and 'Hernandina' along with oranges showed higher ABA contents and ABA degradation products were present as glycosylated forms in oranges and certain mandarins. All orange and grapefruit varieties showed high limonin contents and its glycosylated form, that was only absent in lemons. The rest of identified limonoids were highly abundant in oranges. Particularly, Sucrenya cultivar showed a specific accumulation of obacunone and limonoate A-ring lactone. Polymethoxylated flavanones (tangeritin and isomers) were absolutely absent from lemons and grapefruits whereas kaempferol deoxyhexose hexose isomer #2, naringin and neohesperidin were only present in these cultivars. Conclusions: Analysis of relative metabolite build-up in closely-related genotypes allowed the efficient demarcation of cultivars and suggested the existence of genotype-specific regulatory mechanisms underlying the differential metabolite accumulation.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Non-targeted metabolite profiling of citrus juices as a tool for variety discrimination and metabolite flow analysis
    Vicent Arbona
    Domingo J Iglesias
    Aurelio Gómez-Cadenas
    BMC Plant Biology, 15
  • [2] Targeted and non-targeted approaches for metabolite profiling in nutritional research
    Lodge, John K.
    PROCEEDINGS OF THE NUTRITION SOCIETY, 2010, 69 (01) : 95 - 102
  • [3] Non-targeted metabolite profiling in activated macrophage secretion
    Sugimoto, Masahiro
    Sakagami, Hiroshi
    Yokote, Yoshiko
    Onuma, Hiromi
    Kaneko, Miku
    Mori, Masayo
    Sakaguchi, Yasuko
    Soga, Tomoyoshi
    Tomita, Masaru
    METABOLOMICS, 2012, 8 (04) : 624 - 633
  • [4] Non-targeted metabolite profiling in activated macrophage secretion
    Masahiro Sugimoto
    Hiroshi Sakagami
    Yoshiko Yokote
    Hiromi Onuma
    Miku Kaneko
    Masayo Mori
    Yasuko Sakaguchi
    Tomoyoshi Soga
    Masaru Tomita
    Metabolomics, 2012, 8 : 624 - 633
  • [5] Leveraging Non-Targeted Metabolite Profiling via Statistical Genomics
    Shen, Miaoqing
    Broeckling, Corey D.
    Chu, Elly Yiyi
    Ziegler, Gregory
    Baxter, Ivan R.
    Prenni, Jessica E.
    Hoekenga, Owen A.
    PLOS ONE, 2013, 8 (02):
  • [6] Non-targeted metabolite profiling and specific targeted discrimination strategy for quality evaluation of Cortex Phellodendri from different varieties
    Zhu, Guoxue
    Feng, Fang
    RSC ADVANCES, 2018, 8 (39): : 22086 - 22094
  • [7] Comparison of DNA analysis, targeted metabolite profiling, and non-targeted NMR fingerprinting for differentiating cultivars of processed olives
    Crawford, Lauren M.
    Janovick, Jennifer L.
    Carrasquilla-Garcia, Noelia
    Hatzakis, Emmanuel
    Wang, Selina C.
    FOOD CONTROL, 2020, 114
  • [8] Non-targeted metabolite profiling highlights the potential of strawberry leaves as a resource for specific bioactive compounds
    Karlund, Anna
    Hanhineva, Kati
    Lehtonen, Marko
    McDougall, Gordon J.
    Stewart, Derek
    Karjalainen, Reijo O.
    JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 2017, 97 (07) : 2182 - 2190
  • [9] Non-targeted metabolite profiling for characterization of bioactive compounds in cereals and their metabolic effects in different models
    Hanhineva, Kati
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2016, 252
  • [10] Non-targeted metabolite profiling applied to study metabolome of masticated breads and in vitro digested breads
    Pentikainen, Saara
    Aura, Anna-Marja
    Kolehmainen, Marjukka
    Poutanen, Kaisa
    Hanhineva, Kati
    ANNALS OF NUTRITION AND METABOLISM, 2015, 67 : 249 - 250