Plant metabolomics: Applications and opportunities for agricultural biotechnology

Plant Biotechnology and Agriculture

Volumn , Issue , 2012, Pages 67-81

  Beckles, Diane M ^a   Roessner, Ute ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84884053736     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-0-12-381466-1.00005-5     Document Type: Chapter

References (140)

1. Allen D.K., Libourel I.G.L., Shachar-Hill Y. Metabolic flux analysis in plants: Coping with complexity. Plant Cell and Environment 2009, 32:1241-1257.
2. Allwood J.W., Clarke A., Goodacre R., Mur L.A.J. Dual metabolomics: A novel approach to understanding plant-pathogen interactions. Phytochemistry 2010, 71:590-597.
3. Alonso A.P., Piasecki R.J., Wang Y., LaClair R.W., Shachar-Hill Y. Quantifying the labeling and the levels of plant cell wall precursors using ion chromatography tandem mass spectrometry. Plant Physiology 2010, 153:915-924.
4. Anastasiadi M., Zira A., Magiatis P., Haroutounian S.A., Skaltsounis A.L., Mikros E. H-1 NMR-based metabolomics for the classification of greek wines according to variety, region and vintage. Comparison with HPLC data. Journal of Agricultural and Food Chemistry 2009, 57:11067-11074.
5. Arabidopsis Genome Initiative. Analysis of the genome sequence of the flowering plant Arabidopsis thaliana. Nature 2000, 408:796-815.
6. Arbona V., Iglesias D.J., Talon M., Gomez-Cadenas A. Plant phenotype demarcation using nontargeted LC-MS and GC-MS metabolite profiling. Journal of Agricultural and Food Chemistry 2009, 57:7338-7347.
7. Arneberg R., Rajalahti T., Flikka K., Berven F.S., Kroksveen A.C., Berle M., et al. Pretreatment of mass spectral profiles: Application to proteomic data. Analytical Chemistry 2007, 79:7014-7026.
8. Bais P., Moon S.M., He K., Leitao R., Dreher K., Walk T., et al. PlantMetabolomics.org: A webportal for plant metabolomics experiments. Plant Physiology 2010, 152:1807-1816.
9. Baker J.M., Hawkins N.D., Ward J.L., Lovegrove A., Napier J.A., Shewry P.R., et al. A metabolomic study of substantial equivalence of field-grown genetically modified wheat. Plant Biotechnology Journal 2006, 4:381-392.
10. Beale M.H., Ward J.L., Baker J.M. Establishing substantial equivalence: Metabolomics. Methods Molecular Biology 2009, 478:289-303.
11. Beckles D.M. Factors affecting the postharvest sugar content of tomato Solanum lycopersicum L. fruit. Postharvest Biology and Technology 2011, In press. doi: 10.1016/j.postharvbio.2011.05.016.
12. Beckles D.M., Stamova L., Luengwilai K. Factors controlling tomato Solanum lycopersicum L. fruit sugar accumulation. Postharvest Biology and Technology 2011, (Submitted).
13. Benkeblia N., Shinano T., Osaki M. Metabolite profiling and assessment of metabolome compartmentation of soybean leaves using non-aqueous fractionation and GC-MS analysis. Metabolomics 2009, 3:297-305.
14. Bermudez L., Urias U., Milstein D., Kamenetzky L., Asis R., Fernie A.R., et al. A candidate gene survey of quantitative trait loci affecting chemical composition in tomato fruit. Journal of Experimental Botany 2008, 59:2875-2890.
15. Bohnert H.J., Nelson D.E., Jensen R.G. Adaptations to environmental stresses. The Plant Cell 1995, 7:1099-1111.
16. Bollard M.E., Stanley E.G., Lindon J.C., Nicholson J.K., Holmes E. NMR-based metabolomic approaches for evaluating physiological influences on biofluid composition. NMR Biomedical 2005, 18:143-162.
17. Bowne J., Bacic A., Tester M., Roessner U. Abiotic Stress and Metabolomics. Annual plant reviews: The biology of plant metabolomics 2010, Wiley-Blackwell, (In Press). R.D. Hall (Ed.).
18. Callahan D.L., De Souza D., Bacic A., Roessner U. Profiling of polar metabolites in biological extracts using diamond hydride-based aqueous normal phase chromatography. Journal of Separation Science 2009, 32:2273-2280.
19. Camacho D., de la Fuente A., Mendes P. The origin of correlations in metabolomics data. Metabolomics 2005, 1:53-63.
20. Catchpole G.S., Beckmann M., Enot D.P., Mondhe M., Zywicki B., Taylor J., et al. Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops. Proceedings of the National Academy of Sciences of the United States America 2005, 102:11458-14462.
21. Cellini F., Chesson A., Colquhoun I., Constable A., Davies H.V., Engel K.H., et al. Unintended effects and their detection in genetically modified crops. Food and Chemical Toxicology 2004, 42:1089-1125.
22. Coruzzi G.M., Zhou L. Carbon and nitrogen sensing and signaling in plants: Emerging "matrix effects". Current Opinion in Plant Biology 2001, 4:247-253.
23. Day, J.A., Shrestha, B., Nemes, P. and Vertes, A. (2010) Metabolic profiling of corn (Zea mays) roots by midinfrared laser ablation electrospray ionization mass spectrometry. Proceedings of the 58th ASMS Conference on Mass Spectrometry and Allied Topics, Salt Lake City, Utah.
24. Droste P., Weitzel M., Wiechert W. Visual exploration of isotope labeling networks in 3D. Bioprocess and Biosystems Engineering 2008, 31:227-239.
25. Farre E.M., Fernie A.R., Willmitzer L. Analysis of subcellular metabolite levels of potato tubers (Solanum tuberosum) displaying alterations in cellular or extracellular sucrose metabolism. Metabolomics 2008, 4:161-170.
26. Farre E.M., Tiessen A., Roessner U., Geigenberger P., Trethewey R.N., Willmitzer L. Analysis of the compartmentation of glycolytic intermediates, nucleotides, sugars, organic acids, amino acids, and sugar alcohols in potato tubers using a nonaqueous fractionation method. Plant Physiology 2001, 127:685-700.
27. Fernie A., Schauer N. Metabolomics-assisted breeding: A viable option for crop improvement?. Trends in Genetics 2009, 25:39-48.
28. Fiehn O. Combining genomics, metabolome analysis, and biochemical modelling to understand metabolic networks. Comparative and Functional Genomics 2001, 2:155-168.
29. Fiehn O. High throughput metabolite profiling for functional genomics. Plant and Cell Physiology 2004, 45. S7-S7.
30. Forsythe I.J., Wishart D.S. Exploring human metabolites using the human metabolome database. Current Protocols in Bioinformatics 2009, (Chapter 14:Unit14.8).
31. Franck C., Lammertyn J., Nicolai B. Metabolic profiling using GC-MS to study biochemical changes during long-term storage of pears. Acta Horticulturae 2004, 682. 1991-1998.
32. Grafahrend-Belau E., Junker B.H., Klukas C., Koschutzki D., Schreiber F., Schwobbermeyer H. Topology of Plant Metabolic Networks. Plant metabolic networks 2009, 173-210. Springer, Heidelberg. J. Schwender (Ed.).
33. Griffiths W.J., Wang Y. Mass spectrometry: From proteomics to metabolomics and lipidomics. Chemical Society Reviews 2009, 38:1882-1896.
34. Hall R.D. Food metabolomic: META-PHOR a new European research initiative. AgroFood Industry Hi-Tech 2007, 18:14-16.
35. Herberich E., Sikorski J., Hothorn T. A robust procedure for comparing multiple means under heteroscedasticity in unbalanced designs. Public Library of Science One 2010, 5:e9788.
36. Hoffmann E., Stroobant V. Mass Spectrometry, principles and applications 2007, Wiley.
37. Horai H., Arita M., Kanaya S., Nihei Y., Ikeda T., Suwa K., et al. MassBank: A public repository for sharing mass spectral data for life sciences. Journal of Mass Spectrometry 2010, 45:703-714.
38. Hummel J., Strehmel N., Selbig J., Walther D., Kopka J. Decision tree supported substructure prediction of metabolites from GC-MS profiles. Metabolomics 2010, 6:322-333.
39. Itkin M., Aharoni A. Bioengineering. Plant-derived natural products 2009, 435-473. Springer, Heidelberg. A.E. Osbourne, V. Lanzotti (Eds.).
40. Ivanova P.T., Milne S.B., Myers D.S., Brown H.A. Lipidomics: A mass spectrometry based systems level analysis of cellular lipids. Current Opinion of Chemical Biology 2009, 13:526-531.
41. + transporter on the metabolomes of rice and barley. Metabolomics 2007, 3:307-317.
42. Jiang H.L., Xie Z.Z., Koo H.J., McLaughlin S.P., Timmermann B.N., Gang D.R. Metabolic profiling and phylogenetic analysis of medicinal Zingiber species: Tools for authentication of ginger (Zingiber officinale Rosc.). Phytochemistry 2006, 67:1673-1685.
43. Jorgensen K., Rasmussen A.V., Morant M., Nielsen A.H., Bjarnholt N., Zagrobelny M., et al. Metabolon formation and metabolic channeling in the biosynthesis of plant natural products. Current Opinion in Plant Biology 2005, 8:280-291.
44. Jun J.H., Song Z.H., Liu Z.J., Nikolau B.J., Yeung E.S., Lee Y.J. High-spatial and high-mass resolution imaging of surface metabolites of Arabidopsis thaliana by laser desorption-ionization mass spectrometry using colloidal silver. Analytical Chemistry 2010, 82:3255-3265.
45. Junker B.H., Klukas C., Schreiber F. VANTED: A system for advanced data analysis and visualization in the context of biological networks. BMC Bioinformatics 2006, 7(109).
46. Kaplan F., Kopka J., Haskell D.W., Zhao W., Schiller K.C., Gatzke N., et al. Exploring the temperature-stress metabolome of Arabidopsis. Plant Physiology 2004, 136:4159-4168.
47. Katajamaa M., Miettinen J., Oresic M. MZmine: Toolbox for processing and visualization of mass spectrometry based molecular profile data. Bioinformatics 2006, 22:634-636.
48. Katajamaa M., Oresic M. Data processing for mass spectrometry-based metabolomics. Journal of Chromatography A 2007, 27:318-328.
49. Kehr J. Single cell technology. Current Opinion in Plant Biology 2003, 6:617-621.
50. Kende A., Portwood D., Senior A., Earll M., Bolygo E., Seymour M. Target list building for volatile metabolite profiling of fruit. Journal of Chromatography A 2010, (Ahead of publication).
51. Keurentjes J.J.B. Genetical metabolomics: Closing in on phenotypes. Current Opinion in Plant Biology 2009, 12:223-230.
52. Kind T., Wohlgemuth G., Lee do Y., Lu Y., Palazoglu M., Shahbaz O., et al. FiehnLib: Mass spectral and retention index libraries for metabolomics based on quadrupole and time-of-flight gas chromatography/mass spectrometry. Analytical Chemistry 2009, 15:10038-10048.
53. Kitteringham N.R., Jenkins R.E., Lane C.S., Elliott V.L., Park B.K. Multiple reaction monitoring for quantitative biomarker analysis in proteomics and metabolomics. Journal of Chromatography B Analytic Technology Biomedical Life Science 2009, 877:1229-1239.
54. Kliebenstein D.J. Metabolomics and plant quantitative trait locus analysis - The optimal genetical genomics platform?. Concepts in plant metabolomics 2007, 29-44. Springer, Netherlands. B. Nikolau, E.S. Wurtele (Eds.).
55. Kliebenstein D.J. Use of Secondary Metabolite Variation in Crop Improvement. Plant-derived Natural Products 2009, 83-95. Springer, Heidelberg. A.E. Osbourne, V. Lanzotti (Eds.).
56. Koch K.E. Carbohydrate-modulated gene expression in plants. Annual Review of Plant Physiology and Plant Molecular Biology 1996, 47:509-540.
57. Kopka J., Schauer N., Krueger S., Birkemeyer C., Usadel B., Bergmüller E., et al. GMD@CSB.DB: The Golm metabolome database. Bioinformatics 2005, 21:1635-1638.
58. Korn M., Gartner T., Erban A., Kopka J., Selbig J., Hincha D.K. Predicting Arabidopsis freezing tolerance and heterosis in freezing tolerance from metabolite composition. Molecular Plant 2010, 3:224-235.
59. Kose F., Budczies J., Holschneider M., Fiehn O. Robust detection and verification of linear relationships to generate metabolic networks using estimates of technical errors. BMC Bioinformatics 2007, 8:162.
60. Kruger N.J., Ratcliffe G.R. Metabolic organization in plants: A challenge for the metabolic engineer. Advances in Plant Biochemistry and Molecular Biology 2008, 1:1-27.
61. Kuiper H.A., Kleter G.A., Noteborn H.P., Kok E.J. Assessment of the food safety issues related to genetically modified foods. Plant Journal 2001, 27:503-528.
62. Kuiper H.A., Kleter G.A., Noteborn H.P., Kok E.J. Substantial equivalence - An appropriate paradigm for the safety assessment of genetically modified foods?. Toxicology 2002, 181-182:427-431.
63. Kuiper H.A., Kok E.J., Engel K.H. Exploitation of molecular profiling techniques for GM food safety assessment. Current Opinion in Biotechnology 2003, 14:238-243.
64. Kvalheim O.M., Brakestad F., Liang Y. Preprocessing of analytical profiles in the presence of homoscedastic or heteroscedastic noise. Analytical Chemistry 1994, 66:43-51.
65. Li C., Krewer G., Kays S.J. Detection of apple deterioration using an electronic nose and zNosetm. Transactions of the ASABE 2007, 50:1417-1425.
66. Lippman Z.B., Zamir D. Natural variation as a tool for gene identification in plants 2007, John Wiley & Sons Ltd, Chichester.
67. Lopez-Gresa M.P., Maltese F., Belles J.M., Conejero V., Kim H.K., Choi Y.H., et al. Metabolic response of tomato leaves upon different plant-pathogen interactions. Phytochemical Analysis 2009, 21:89-94.
68. Luengwilai K., Beckles D.M. Climacteric ethylene is not essential for initiating chilling injury in tomato (Solanum lycopersicum) cv. Ailsa Craig. Journal of Stored Products and Postharvest Research 2010, 1:1.
69. Luengwilai K., Salveit M.E., Beckles D.M. Metabolite content of harvested Micro-Tom tomato (Solanum lycopersieum L.) fruit is altered by chilling and protective heat-shock treatments as shown by GC-Ms metabolic profiling. Postharvest Biology and Technology 2011, In press. 10.1016/j.postharvbio.2011.05.014.
70. Ma H.W., Zeng A.P. Reconstruction of metabolic networks from genome data and analysis of their global structure for various organisms. Bioinformatics 2003, 19:270-277.
71. Ma H.W., Zeng A.P. The connectivity structure, giant strong component and centrality of metabolic networks. Bioinformatics 2003, 19:1423-1430.
72. Matsuda F., Hirai M.Y., Sasaki E., Akiyama K., Yonekura-Sakakibara K., Provart N.J., et al. AtMetExpress development: A phytochemical atlas of Arabidopsis development. Plant Physiology 2010, 152:566-578.
73. Merchant A., Richter A., Popp M., Adams M. Targeted metabolite profiling provides a functional link among eucalypt taxonomy, physiology and evolution. Phytochemistry 2006, 67:403-408.
74. Mittler R. Abiotic stress, the field environment and stress combination. Trends in Plant Science 2006, 11:15-19.
75. Mittler R., Blumwald E. Genetic engineering for modern agriculture: Challenges and perspectives. Annual Review of Plant Biology 2010, 61:13.1-13.20.
76. Moalemiyan M., Vkram A., Kushalappa A.C., Yaylayan V. Volatile metabolite profiling to detect and discriminate stem-end rot and anthracnose diseases of mango fruits. Plant Pathology 2006, 55:792-802.
77. Moco S., Schneider B., Vervoort J. Plant micrometabolomics: The analysis of endogenous metabolites present in a plant cell or tissue. Journal of Proteome Research 2009, 8:1694-1703.
78. Modolo M.V., Reichert A.I., Dixon R.A. Introduction to the different classes of biosynthetic enzymes. Plant-derived natural products 2009, 143-163. Springer, Heidelberg. A.E. Osbourne, V. Lanzotti (Eds.).
79. Morandini P. Rethinking metabolic control. Plant Science 2009, 176:441-451.
80. Moreno-Risueno M.A., Busch W., Benfey P.N. Omics meet networks - using systems approaches to infer regulatory networks in plants. Current Opinion of Plant Biology 2010, 13:126-131.
81. Morgan J.A., Rhodes D. Mathematical modeling of plant metabolic pathways. Metabolic Engineering 2002, 4:80-89.
82. Mueller L.A., Zhang P., Rhee S.Y. AraCyc: A biochemical pathway database for Arabidopsis. Plant Physiology 2003, 132:453-460.
83. Ng K.M., Liang Z.T., Lu W., Tang H.W., Zhao Z.Z., Che C.M., et al. In vivo analysis and spatial profiling of phytochemicals in herbal tissue by matrix-assisted laser desorption/ionization mass spectrometry. Analytical Chemistry 2007, 79:2745-2755.
84. Oksman-Caldentey K.-M., Inzé D. Plant cell factories in the post-genomic era: New ways to produce designer secondary metabolites. Trends in Plant Science 2004, 9:433-440.
85. Okuda S., Yamada T., Hamajima M., Itoh M., Katayama T., Bork P., et al. KEGG Atlas mapping for global analysis of metabolic pathways. Nucleic Acids Research 2008, 36:W423-W426.
86. Oliver S.G., Winson M.K., Kell D.B., Baganz F. Systematic functional analysis of the yeast genome. Trends in Biotechnology 1998, 16:373-378.
87. Orr G.R., Raison J.K. The effect of changing the composition of phosphatidylglycerol from thylakoid polar lipids of oleander and cucumber on the temperature of the transition related to chilling injury. Planta 1990, 181:137-143.
88. Paley S.M., Karp P.D. The pathway tools cellular overview diagram and Omics viewer. Nucleic Acid Research 2006, 34:3771-3778.
89. Pourcel L., Grotewold E. Participation of phytochemicals in plant development and growth. Plant-derived natural products: Synthesis, function and application 2009, 269-283. Springer, Dordrecht, Heidelberg. A.E. Osbourne, V. Lanzotti (Eds.).
90. Prithiviraj B., Vikram A., Kushalappa A.C., Yaylayan V. Volatile metabolite profiling for the discrimination of onion bulbs infected by Erwinia carotovora ssp. carotovora, Fusarium oxysporum and Botrytis allii. European Journal of Plant Pathology 2004, 110:371-377.
91. Rios-Estepa R., Lange B.M. Experimental and mathematical approaches to modeling plant metabolic networks. Phytochemistry 2007, 68:2351-2374.
92. Rischer H., Oksman-Caldentey K.-M. Unintended effects in genetically modified crops: Revealed by metabolomics?. Trends in Biotechnology 2006, 24:102-104.
93. Rischer H., Oresic M., Goossens A., Inze D., Oksman-Caldentey K.M. Integrating transcriptional and metabolic profiling to unravel secondary metabolite biosynthesis in plants. Biotechnology and sustainable agriculture 2006 and beyond 2007, 135-138. Springer, Netherlands. Z. Xu, J. Li, Y. Xue, W. Yang (Eds.).
94. Rodriguez A., Infante D. Network models in the study of metabolism. Electronic Journal of Biotechnology 2009, 12:2.
95. Roessner U., Beckles D.M. Metabolite measurements. Plant metabolic networks 2009, 39-69. Springer Verlag, New York, New York. J. Schwender (Ed.).
96. Roessner U., Bowne J. What is metabolomics all about?. Biotechniques 2009, 46:363-365.
97. Roessner, U., Nahid, A., Hunter, A. and Bellgard, M. (2011) Metabolomics - the combination of analytical chemistry, biology and informatics. In Moo-Young, M. (ed.) Comprehensive Biotechnology 2nd ed., vol.1, pp. 447-459, Elsevier.
98. Rolland F., Baena-Gonzalez E., Sheen J. Sugar sensing and signaling in plants: Conserved and novel mechanisms. Annual Review of Plant Biology 2006, 57:675-709.
99. Rudell D.R., Mattheis J.P., Curry F.A. Prestorage ultraviolet-white light irradation alters apple peel metabolome. Journal of Agricultural and Food Chemistry 2008, 56:1138-1147.
100. Saito K., Hirai M.Y., Yonekura-Sakakibara K. Decoding genes with coexpression networks and metabolomics - "majority report by precogs. Trends in Plant Science 2008, 13:36-43.
101. Saito K., Matsuda F. Metabolomics for functional genomics, systems biology, and biotechnology. Annual Review of Plant Biology 2010, 61:463-489.
102. Schad M., Mungur R., Fiehn O., Kehr J. Metabolic profiling of laser microdissected vascular bundles of Arabidopsis thaliana. Plant Methods 2005, 1:1-10.
103. Schauer N., Semel Y., Roessner U., Gur A., Balbo I., Carrari F., et al. Comprehensive metabolic profiling and phenotyping of interspecific introgression lines for tomato improvement. Nature Biotechnology 2006, 24:447-454.
104. Schneider B., Holscher D. Laser microdissection and cryogenic nuclear magnetic resonance spectroscopy: An alliance for cell type-specific metabolite profiling. Planta 2007, 225:763-770.
105. Schulz-TrieglaffO., Pfeifer N., Gröpl C., Kohlbacher O., Reinert K. LC-MSsim - a simulation software for liquid chromatography mass spectrometry data. BMC Bioinformatics 2008, 9:423.
106. Schryer D.W., Peterson P., Paalme T., Vendelin M. Bidirectionality and compartmentation of metabolic fluxes are revealed in the dynamics of isotopomer networks. International Journal of Molecular Sciences 2009, 10:1697-1718.
107. Shrestha B., Vertes A. In situ metabolic profiling of single cells by laser ablation electrospray ionization mass spectrometry. Analytical Chemistry 2009, 81:8265-8271.
108. Smith A.M. Prospects for increasing starch and sucrose yields for bioethanol production. Plant Journal 2008, 54:546-558.
109. Smith C.A., O'Maille G., Want E.J., Qin C., Trauger S.A., Brandon T.R., et al. METLIN: A metabolite mass spectral database. Therapeutic Drug Monitoring 2005, 27:747-751.
110. Smith C.A., Want E.J., O'Maille G., Abagyan R., Siuzdak G. XCMS: Processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification. Analytical Chemistry 2006, 78:779-787.
111. Srere P.A. The Metabolon. Trends in Biochemical Sciences 1985, 10:109-110.
112. Stamova B.S., Roessner U., Suren S., Laudencia-Chingcuanco D., Bacic A., Beckles D.M. Metabolic profiling of transgenic wheat over-expressing the high-molecular-weight Dx5 glutenin subunit. Metabolomics 2009, 5:239-252.
113. Ståhlman M., Ejsing C.S., Tarasov K., Perman J., Borén J., Ekroos K. High-throughput shotgun lipidomics by quadrupole time-of-flight mass spectrometry. Journal of Chromatography B 2009, 15:2664-2672.
114. Stitt M., Sulpice R., Keurentjes J. Metabolic networks: How to identify key components in the regulation of metabolism and growth. Plant Physiology 2010, 152:428-444.
115. Svatos A. Mass spectrometric imaging of small molecules. Trends in Biotechnology 2010, 28:425-434.
116. Sweetlove L.J., Fernie A. Regulation of metabolic networks: Understanding metabolic complexity in the systems biology era. New Phytologist 2005, 168:9-24.
117. Trethewey R.N. Metabolite profiling as an aid to metabolic engineering in plants. Current Opinion in Plant Biology 2004, 7:196-201.
118. Vekiari S.A., Oreopoulou V., Kourkoutas Y., Kamoun N., Msallem M., Psimouli V., et al. Characterization and seasonal variation of the quality of virgin olive oil of the Throumbolia and Koroneiki varieties from Southern Greece. Grasas Y Aceites 2010, 61:221-231.
119. Venneria E., Fanasca S., Monastra G., Finotti E., Ambra R., Azzini E., et al. Assessment of the nutritional values of genetically modified wheat, corn, and tomato crops. Journal of Agriculture and Food Chemistry 2008, 56:9206-9214.
120. Verpoorte R. Exploration of nature's chemodiversity: The role of secondary metabolites as leads in drug development. Drug Discovery Today 1998, 3:232-238.
121. Villas-Boas S.G., Rasmussen S., Lane G.A. Metabolomics or metabolite profiles?. Trends in Biotechnology 2005, 23:385-386.
122. Villas-Bôas S.G., Roessner U., Hansen M., et al. Metabolome analysis: An introduction 2007, John Wiley & Sons, Inc., New Jersey, NJ, USA.
123. Ward J.L., Baker J.M., Beale M.H. Recent applications of NMR spectroscopy in plant metabolomics. FEBS Journal 2007, 274:1126-1131.
124. Weckwerth W., Fiehn O. Can we discover novel pathways using metabolomic analysis?. Current Opinion in Biotechnology 2002, 13:156-160.
125. Weckwerth W., Loureiro M.E., Wenzel K., Fiehn O. Differential metabolic networks unravel the effects of silent plant phenotypes. Proceedings of the National Academy of Sciences of the United States of America 2004, 101:7809-7814.
126. Wei R., Li G., Seymour A.B. High-throughput and multiplexed LC/MS/MRM method for targeted metabolomics. Analytical Chemistry 2010, 82:5527-5533.
127. Weitzel M., Wiechert W., Noh K. The topology of metabolic isotope labeling networks. BMC Bioinformatics 2007, 8:315.
128. Widodo, Patterson J.H., Newbigin E., Tester M., Bacic A., Roessner U. Metabolic responses to salt stress of barley (Hordeum vulgare L.) cultivars, Sahara and Clipper, which differ in salinity tolerance. Journal of Experimental Botany 2009, 60:4089-4103.
129. Wiechert W. The thermodynamic meaning of metabolic exchange fluxes. Biophysical Journal 2007, 93:2255-2264.
130. Wiechert W., Schweissgut O., Takanaga H., Frommer W.B. Fluxomics: Mass spectrometry versus quantitative imaging. Current Opinion in Plant Biology 2007, 10:323-330.
131. Williams A.J. Public chemical compound databases. Current Opinion in Drug Discovery and Development 2008, 11:393-404.
132. Winkel B.S.J. Metabolic channeling in plants. Annual Review of Plant Biology 2004, 55:85-107.
133. Winkel B.S.J. Metabolite channeling and multi-enzyme complexes. Plant-derived natural products 2009, 195-208. Springer, Heidleberg. A.E. Osbourne, V. Lanzotti (Eds.).
134. Winter H., Robinson D.G., Heldt H.W. Subcellular volumes and metabolite concentrations in barley leaves. Planta 1993, 191:180-190.
135. Yocum A.K., Chinnaiyan A.M. Current affairs in quantitative targeted proteomics: Multiple reaction monitoring-mass spectrometry. Brief Functional Genomics and Proteomics 2009, 8:145-157.
136. Zanor M.I., Rambla J.L., Chaib J., Steppa A., Medina A., Granell A., et al. Metabolic characterization of loci affecting sensory attributes in tomato allows an assessment of the influence of the levels of primary metabolites and volatile organic contents. Journal of Experimental Botany 2009, 60:2139-2154.
137. Zeng Z., Chau F.-T., Chan H.-y., Cheung C.-y., Lau T.-y., Wei S., et al. Recent advances in the compound-oriented and pattern-oriented approaches to the quality control of herbal medicines. Chinese Medicine 2008, 3:9.
138. Zhang H., Chang M., Wang J., Ye S. Evaluation of peach quality indices using an electronic nose by MLR, QPST and BP network. Sensors and Actuators B: Chemical 2008, 134:332-338.
139. Zhao J., Yu H., Luo H.-J., Cao Z.W., Li Y.-X. Hierarchical modularity of nested bow-ties in metabolic networks. BMC Bioinformatics 2006, 7:386.
140. Zywicki B., Catchpole G., Draper J., Fiehn O. Comparison of rapid liquid chromatography-electrospray ionization-tandem mass spectrometry methods for determination of glycoalkaloids in transgenic field-grown potatoes. Analytical Biochemistry 2005, 336:178-186.