Literature DB >> 21943904

Plant metabolomics and its potential for systems biology research background concepts, technology, and methodology.

J William Allwood1, Ric C H De Vos, Annick Moing, Catherine Deborde, Alexander Erban, Joachim Kopka, Royston Goodacre, Robert D Hall.   

Abstract

The "metabolome" comprises the entire complement of small molecules in a plant or any other organism. It represents the ultimate phenotype of cells, deduced from the perturbation of gene expression and the modulation of protein function, as well as environmental cues. Extensive advances over the past decade, regarding the high-throughput (HTP) nature of "omics" research, have given birth to the expectation that a type of "systems level" overview may soon be possible. Having such a global overview of the molecular organization of a plant in the context of a particular set of genetic or environmental conditions, be it at cell, organ, or whole plant level, would clearly be very powerful. Currently, we are far from achieving this goal; however, within our hands, plant metabolomics is an HTP and informative "omics" approach to both sample generation and data generation, as well as raw data preprocessing, statistical analysis, and biological interpretation. Within this chapter, we aim to describe the great attention given to experimental design to ensure that the correct sample set and control are included and to, thereby, enable reliable statistical analysis of the data. For as comprehensive metabolite coverage as possible, we advocate the use of multiparallel approaches; thus, we describe a step-by-step standardized method for Nuclear magnetic resonance spectroscopy, as well as discussing with reference to standardized methodologies the techniques of gas chromatography-time of flight/mass spectrometry, and liquid chromatography-mass spectrometry.
Copyright © 2011 Elsevier Inc. All rights reserved.

Mesh:

Year:  2011        PMID: 21943904     DOI: 10.1016/B978-0-12-385118-5.00016-5

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  29 in total

1.  Discovery of new modules in metabolic biology using ChemoMetabolomics.

Authors:  Samuel Bocobza; Lothar Willmitzer; Natasha V Raikhel; Asaph Aharoni
Journal:  Plant Physiol       Date:  2012-09-06       Impact factor: 8.340

2.  MeRy-B: a web knowledgebase for the storage, visualization, analysis and annotation of plant NMR metabolomic profiles.

Authors:  Hélène Ferry-Dumazet; Laurent Gil; Catherine Deborde; Annick Moing; Stéphane Bernillon; Dominique Rolin; Macha Nikolski; Antoine de Daruvar; Daniel Jacob
Journal:  BMC Plant Biol       Date:  2011-06-13       Impact factor: 4.215

Review 3.  Omics-Facilitated Crop Improvement for Climate Resilience and Superior Nutritive Value.

Authors:  Tinashe Zenda; Songtao Liu; Anyi Dong; Jiao Li; Yafei Wang; Xinyue Liu; Nan Wang; Huijun Duan
Journal:  Front Plant Sci       Date:  2021-12-01       Impact factor: 5.753

4.  Omics Data Reveal Putative Regulators of Einkorn Grain Protein Composition under Sulfur Deficiency.

Authors:  Titouan Bonnot; Pierre Martre; Victor Hatte; Mireille Dardevet; Philippe Leroy; Camille Bénard; Natalia Falagán; Marie-Laure Martin-Magniette; Catherine Deborde; Annick Moing; Yves Gibon; Marie Pailloux; Emmanuelle Bancel; Catherine Ravel
Journal:  Plant Physiol       Date:  2020-04-15       Impact factor: 8.340

5.  Metabolomic Characterization of Knockout Mutants in Arabidopsis: Development of a Metabolite Profiling Database for Knockout Mutants in Arabidopsis.

Authors:  Atsushi Fukushima; Miyako Kusano; Ramon Francisco Mejia; Mami Iwasa; Makoto Kobayashi; Naomi Hayashi; Akiko Watanabe-Takahashi; Tomoko Narisawa; Takayuki Tohge; Manhoi Hur; Eve Syrkin Wurtele; Basil J Nikolau; Kazuki Saito
Journal:  Plant Physiol       Date:  2014-05-14       Impact factor: 8.340

6.  iMS2Flux--a high-throughput processing tool for stable isotope labeled mass spectrometric data used for metabolic flux analysis.

Authors:  C Hart Poskar; Jan Huege; Christian Krach; Mathias Franke; Yair Shachar-Hill; Björn H Junker
Journal:  BMC Bioinformatics       Date:  2012-11-12       Impact factor: 3.169

7.  GC-MS based targeted metabolic profiling identifies changes in the wheat metabolome following deoxynivalenol treatment.

Authors:  Benedikt Warth; Alexandra Parich; Christoph Bueschl; Denise Schoefbeck; Nora Katharina Nicole Neumann; Bernhard Kluger; Katharina Schuster; Rudolf Krska; Gerhard Adam; Marc Lemmens; Rainer Schuhmacher
Journal:  Metabolomics       Date:  2014-09-27       Impact factor: 4.290

8.  Recent applications of metabolomics toward cyanobacteria.

Authors:  Doreen Schwarz; Isabel Orf; Joachim Kopka; Martin Hagemann
Journal:  Metabolites       Date:  2013-02-04

Review 9.  Experimental approaches to study plant cell walls during plant-microbe interactions.

Authors:  Ye Xia; Carloalberto Petti; Mark A Williams; Seth DeBolt
Journal:  Front Plant Sci       Date:  2014-10-14       Impact factor: 5.753

10.  The effect of 'Candidatus Liberibacter asiaticus' infection on the proteomic profiles and nutritional status of pre-symptomatic and symptomatic grapefruit (Citrus paradisi) plants.

Authors:  Chika C Nwugo; Hong Lin; Yongping Duan; Edwin L Civerolo
Journal:  BMC Plant Biol       Date:  2013-04-11       Impact factor: 4.215

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.