PLANT METABOLOMICS: METHODS AND CHALLENGES

被引:35
作者
Pilon, Alan C. [1 ,2 ,3 ]
Selegato, Denise M. [2 ,4 ]
Fernandes, Richard P. [2 ]
Bueno, Paula C. P. [1 ,5 ]
Pinho, Danielle R. [1 ]
Carnevale Neto, Fausto [6 ]
Freire, Rafael T. [7 ]
Castro-Gamboa, Ian [2 ]
Bolzani, Vanderlan S. [2 ]
Lopes, Norberto P. [1 ]
机构
[1] Univ Sao Paulo, Nucleo Apoio Pesquisa Prod Nat & Sintet, Fac Ciencias Farmaceut Ribeirao Preto, Ribeirao Preto, SP, Brazil
[2] Univ Estadual Paulista, Nucleo Bioensaios Biossintese & Ecofisiol Prod Na, Araraquara, SP, Brazil
[3] Imperial Coll London, Dept Life Sci, Silwood Pk, Ascot, Berks, England
[4] Univ Florence, Ctr Magnet Resonance, Florence, Italy
[5] Max Planck Inst Plant Mol Physiol, Potsdam, Germany
[6] Univ Washington, Northwest Metabol Res Ctr, Dept Anesthesiol & Pain Med, Seattle, WA 98195 USA
[7] Inst Bioengn Catalonia, Signal & Informat Proc Sensing Syst, Barcelona, Spain
来源
QUIMICA NOVA | 2020年 / 43卷 / 03期
基金
巴西圣保罗研究基金会;
关键词
plant metabolomics; methods; challenges; CHROMATOGRAPHY-MASS SPECTROMETRY; OPEN-SOURCE SOFTWARE; MICROWAVE-ASSISTED DERIVATIZATION; SUPERCRITICAL-FLUID EXTRACTION; DEEP EUTECTIC SOLVENTS; NMR SPECTROSCOPIC DATA; PARTIAL LEAST-SQUARES; OF-THE-ART; LIQUID-CHROMATOGRAPHY; PEAK ALIGNMENT;
D O I
10.21577/0100-4042.20170499
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Metabolomics has played a central role in various areas of plant sciences, offering new perspectives for the advancement of agriculture, drug discovery, chemical ecology and taxonomy. Plant metabolomics (identification and quantification) aims to understand the relationship between biological systems and genetic, pathological and or environmental stimuli in terms of differential expression of the metabolism. Owing to the unique challenges, such studies require multidisciplinary skills involving biology, chemistry, statistics, and computer science for the extraction and complete understanding of information. In this sense, this review summarizes the main procedures that involve the steps of plant metabolomic study (design of experiments, sample preparation, analytical methods and data analysis), providing a comprehensive overview, showing the main challenges and limitations and possible solutions for the different approaches used.
引用
收藏
页码:329 / 354
页数:26
相关论文
共 329 条
[1]  
Abdel-Fattah YR, 2007, J MICROBIOL BIOTECHN, V17, P1930
[2]   1H NMR-based metabolomics combined with HPLC-PDA-MS-SPE-NMR for investigation of standardized Ginkgo biloba preparations [J].
Agnolet, Sara ;
Jaroszewski, Jerzy W. ;
Verpoorte, Robert ;
Staerk, Dan .
METABOLOMICS, 2010, 6 (02) :292-302
[3]   Workflows for automated downstream data analysis and visualization in large-scale computational mass spectrometry [J].
Aiche, Stephan ;
Sachsenberg, Timo ;
Kenar, Erhan ;
Walzer, Mathias ;
Wiswedel, Bernd ;
Kristl, Theresa ;
Boyles, Matthew ;
Duschl, Albert ;
Huber, Christian G. ;
Berthold, Michael R. ;
Reinert, Knut ;
Kohlbacher, Oliver .
PROTEOMICS, 2015, 15 (08) :1443-1447
[4]   Concentration measurement by proton NMR using the ERETIC method [J].
Akoka, S ;
Barantin, L ;
Trierweiler, M .
ANALYTICAL CHEMISTRY, 1999, 71 (13) :2554-2557
[5]   Analytical methods in untargeted metabolomics: state of the art in 2015 [J].
Alonso, Arnald ;
Marsal, Sara ;
Julia, Antonio .
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2015, 3
[6]   Gaussian binning: a new kernel-based method for processing NMR spectroscopic data for metabolomics [J].
Anderson, Paul E. ;
Reo, Nicholas V. ;
DelRaso, Nicholas J. ;
Doom, Travis E. ;
Raymer, Michael L. .
METABOLOMICS, 2008, 4 (03) :261-272
[7]   Dynamic adaptive binning: an improved quantification technique for NMR spectroscopic data [J].
Anderson, Paul E. ;
Mahle, Deirdre A. ;
Doom, Travis E. ;
Reo, Nicholas V. ;
DelRaso, Nicholas J. ;
Raymer, Michael L. .
METABOLOMICS, 2011, 7 (02) :179-190
[8]  
Andrecut M. J., 2008, COMPUT BIOL, V16, P1593
[9]   A universal denoising and peak picking algorithm for LC-MS based on matched filtration in the chromatographic time domain [J].
Andreev, VP ;
Rejtar, T ;
Chen, HS ;
Moskovets, EV ;
Ivanov, AR ;
Karger, BL .
ANALYTICAL CHEMISTRY, 2003, 75 (22) :6314-6326
[10]  
[Anonymous], 2010, Introduction to Modern Liquid Chromatography