Literature DB >> 15520026

Metabolite fingerprinting and profiling in plants using NMR.

P Krishnan1, N J Kruger, R G Ratcliffe.   

Abstract

Although less sensitive than mass spectrometry (MS), nuclear magnetic resonance (NMR) spectroscopy provides a powerful complementary technique for the identification and quantitative analysis of plant metabolites either in vivo or in tissue extracts. In one approach, metabolite fingerprinting, multivariate analysis of unassigned 1H NMR spectra is used to compare the overall metabolic composition of wild-type, mutant, and transgenic plant material, and to assess the impact of stress conditions on the plant metabolome. Metabolite fingerprinting by NMR is a fast, convenient, and effective tool for discriminating between groups of related samples and it identifies the most important regions of the spectrum for further analysis. In a second approach, metabolite profiling, the 1H NMR spectra of tissue extracts are assigned, a process that typically identifies 20-40 metabolites in an unfractionated extract. These profiles may also be used to compare groups of samples, and significant differences in metabolite concentrations provide the basis for hypotheses on the underlying causes for the observed segregation of the groups. Both approaches generate a metabolic phenotype for a plant, based on a system-wide but incomplete analysis of the plant metabolome. However, a review of the literature suggests that the emphasis so far has been on the accumulation of analytical data and sample classification, and that the potential of 1H NMR spectroscopy as a tool for probing the operation of metabolic networks, or as a functional genomics tool for identifying gene function, is largely untapped.

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Mesh:

Year:  2004        PMID: 15520026     DOI: 10.1093/jxb/eri010

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  68 in total

1.  Phytochemical diversity drives plant-insect community diversity.

Authors:  Lora A Richards; Lee A Dyer; Matthew L Forister; Angela M Smilanich; Craig D Dodson; Michael D Leonard; Christopher S Jeffrey
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-17       Impact factor: 11.205

Review 2.  Metabolomics and its role in understanding cellular responses in plants.

Authors:  Ritu Bhalla; Kothandaraman Narasimhan; Sanjay Swarup
Journal:  Plant Cell Rep       Date:  2005-11-16       Impact factor: 4.570

3.  UV spectral fingerprinting and analysis of variance-principal component analysis: a useful tool for characterizing sources of variance in plant materials.

Authors:  Devanand L Luthria; Sudarsan Mukhopadhyay; Rebecca J Robbins; John W Finley; Gary S Banuelos; James M Harnly
Journal:  J Agric Food Chem       Date:  2008-06-24       Impact factor: 5.279

4.  A rapid, simple method for the genetic discrimination of intact Arabidopsis thaliana mutant seeds using metabolic profiling by direct analysis in real-time mass spectrometry.

Authors:  Suk Weon Kim; Hye Jin Kim; Jong Hyun Kim; Yong Kook Kwon; Myung Suk Ahn; Young Pyo Jang; Jang R Liu
Journal:  Plant Methods       Date:  2011-06-10       Impact factor: 4.993

5.  Discrimination of citrus fruits using FT-IR fingerprinting by quantitative prediction of bioactive compounds.

Authors:  Seung Yeob Song; Chun Hwan Kim; Soon Jea Im; In-Jung Kim
Journal:  Food Sci Biotechnol       Date:  2017-12-12       Impact factor: 2.391

6.  Nuclear magnetic resonance spectroscopy-based metabolite profiling of transgenic tomato fruit engineered to accumulate spermidine and spermine reveals enhanced anabolic and nitrogen-carbon interactions.

Authors:  Autar K Mattoo; Anatoli P Sobolev; Anil Neelam; Ravinder K Goyal; Avtar K Handa; Anna L Segre
Journal:  Plant Physiol       Date:  2006-10-13       Impact factor: 8.340

7.  An inter-laboratory comparison demonstrates that [H]-NMR metabolite fingerprinting is a robust technique for collaborative plant metabolomic data collection.

Authors:  Jane L Ward; John M Baker; Sonia J Miller; Catherine Deborde; Mickael Maucourt; Benoit Biais; Dominique Rolin; Annick Moing; Sofia Moco; Jacques Vervoort; Arjen Lommen; Hartmut Schäfer; Eberhard Humpfer; Michael H Beale
Journal:  Metabolomics       Date:  2010-02-27       Impact factor: 4.290

8.  NMR-based metabolomics reveals that plant-derived smoke stimulates root growth via affecting carbohydrate and energy metabolism in maize.

Authors:  Şükrü Serter Çatav; Emine Sonay Elgin; Çağdaş Dağ; Jaime L Stark; Köksal Küçükakyüz
Journal:  Metabolomics       Date:  2018-10-15       Impact factor: 4.290

9.  Distinguishing Vaccinium species by chemical fingerprinting based on NMR spectra, validated with spectra collected in different laboratories.

Authors:  Michelle A Markus; Jonathan Ferrier; Sarah M Luchsinger; Jimmy Yuk; Alain Cuerrier; Michael J Balick; Joshua M Hicks; K Brian Killday; Christopher W Kirby; Fabrice Berrue; Russell G Kerr; Kevin Knagge; Tanja Gödecke; Benjamin E Ramirez; David C Lankin; Guido F Pauli; Ian Burton; Tobias K Karakach; John T Arnason; Kimberly L Colson
Journal:  Planta Med       Date:  2014-06-25       Impact factor: 3.352

10.  mSpecs: a software tool for the administration and editing of mass spectral libraries in the field of metabolomics.

Authors:  Bernhard Thielen; Stephanie Heinen; Dietmar Schomburg
Journal:  BMC Bioinformatics       Date:  2009-07-22       Impact factor: 3.169

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