Literature DB >> 23395406

Metabolic network flux analysis for engineering plant systems.

Yair Shachar-Hill1.   

Abstract

Metabolic network flux analysis (NFA) tools have proven themselves to be powerful aids to metabolic engineering of microbes by providing quantitative insights into the flows of material and energy through cellular systems. The development and application of NFA tools to plant systems has advanced in recent years and are yielding significant insights and testable predictions. Plants present substantial opportunities for the practical application of NFA but they also pose serious challenges related to the complexity of plant metabolic networks and to deficiencies in our knowledge of their structure and regulation. By considering the tools available and selected examples, this article attempts to assess where and how NFA is most likely to have a real impact on plant biotechnology.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23395406     DOI: 10.1016/j.copbio.2013.01.004

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  14 in total

Review 1.  Plant metabolic modeling: achieving new insight into metabolism and metabolic engineering.

Authors:  Kambiz Baghalian; Mohammad-Reza Hajirezaei; Falk Schreiber
Journal:  Plant Cell       Date:  2014-10-24       Impact factor: 11.277

2.  Analysis of signaling networks distributed over intracellular compartments based on protein-protein interactions.

Authors:  Olga Vasil'evna Popik; Olga Vladimirovna Saik; Evgeny Dmitrievich Petrovskiy; Björn Sommer; Ralf Hofestädt; Inna Nikolaevna Lavrik; Vladimir Aleksandrovich Ivanisenko
Journal:  BMC Genomics       Date:  2014-12-19       Impact factor: 3.969

Review 3.  Methods and advances in metabolic flux analysis: a mini-review.

Authors:  Maciek R Antoniewicz
Journal:  J Ind Microbiol Biotechnol       Date:  2015-01-23       Impact factor: 3.346

4.  High Flux Through the Oxidative Pentose Phosphate Pathway Lowers Efficiency in Developing Camelina Seeds.

Authors:  Lisa M Carey; Teresa J Clark; Rahul R Deshpande; Jean-Christophe Cocuron; Emily K Rustad; Yair Shachar-Hill
Journal:  Plant Physiol       Date:  2019-11-07       Impact factor: 8.340

5.  Novel Approach for High-Throughput Metabolic Screening of Whole Plants by Stable Isotopes.

Authors:  Lisa Maria Dersch; Veronique Beckers; Detlev Rasch; Guido Melzer; Christoph Bolten; Katina Kiep; Horst Becker; Oliver Ernst Bläsing; Regine Fuchs; Thomas Ehrhardt; Christoph Wittmann
Journal:  Plant Physiol       Date:  2016-03-10       Impact factor: 8.340

Review 6.  Computational approaches for understanding energy metabolism.

Authors:  Alexander A Shestov; Brandon Barker; Zhenglong Gu; Jason W Locasale
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-07-29

7.  Mathematical Modeling of the Dynamics of Shoot-Root Interactions and Resource Partitioning in Plant Growth.

Authors:  Chrystel Feller; Patrick Favre; Ales Janka; Samuel C Zeeman; Jean-Pierre Gabriel; Didier Reinhardt
Journal:  PLoS One       Date:  2015-07-08       Impact factor: 3.240

Review 8.  Predictive sulfur metabolism - a field in flux.

Authors:  Alexander Calderwood; Richard J Morris; Stanislav Kopriva
Journal:  Front Plant Sci       Date:  2014-11-18       Impact factor: 5.753

9.  Transfer of the cytochrome P450-dependent dhurrin pathway from Sorghum bicolor into Nicotiana tabacum chloroplasts for light-driven synthesis.

Authors:  Thiyagarajan Gnanasekaran; Daniel Karcher; Agnieszka Zygadlo Nielsen; Helle Juel Martens; Stephanie Ruf; Xenia Kroop; Carl Erik Olsen; Mohammed Saddik Motawie; Mathias Pribil; Birger Lindberg Møller; Ralph Bock; Poul Erik Jensen
Journal:  J Exp Bot       Date:  2016-03-11       Impact factor: 6.992

10.  Analysis of isotopic labeling in peptide fragments by tandem mass spectrometry.

Authors:  Doug K Allen; Bradley S Evans; Igor G L Libourel
Journal:  PLoS One       Date:  2014-03-13       Impact factor: 3.240

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