Literature DB >> 12948753

Engineering central metabolism in crop species: learning the system.

Fernando Carrari1, Ewa Urbanczyk-Wochniak, Lothar Willmitzer, Alisdair R Fernie.   

Abstract

Over many centuries much effort has been expended on crop improvement, most recently by use of molecular genetic technologies. Although genome sequence information for crop species is not yet available in the public domain, most of the genes of central metabolism have already been cloned and the corresponding transgenic plants generated. Although these plants have often confirmed the hypotheses based on more indirect methodologies, they have also produced unexpected challenges to the metabolic engineer in outlining the enormous flexibility and complexity inherent in plant metabolism. Intriguingly, comparison of transcript and metabolite levels of the TCA cycle revealed strong correlations in expression levels but little coordination in the levels of metabolic intermediates. These factors explain why many attempts to engineer central metabolism have proven unsuccessful to date and suggest that a greater understanding of the regulatory circuits and networks controlling metabolism is required before engineering can become routine. In this article we intend to illustrate these challenges by reviewing attempts to manipulate the central metabolic pathways of Solanaceae (sps.) as well as demonstrating the role for systems biology approaches in metabolic engineering in crops.

Entities:  

Mesh:

Year:  2003        PMID: 12948753     DOI: 10.1016/s1096-7176(03)00028-4

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  9 in total

1.  The role of natural variation in dissecting genetic regulation of primary metabolism.

Authors:  Joost J B Keurentjes; Ronan Sulpice
Journal:  Plant Signal Behav       Date:  2009-03

Review 2.  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

Review 3.  NMR analysis of plant nitrogen metabolism.

Authors:  F Mesnard; R G Ratcliffe
Journal:  Photosynth Res       Date:  2005       Impact factor: 3.573

4.  Profiling of diurnal patterns of metabolite and transcript abundance in potato (Solanum tuberosum) leaves.

Authors:  Ewa Urbanczyk-Wochniak; Charles Baxter; Anna Kolbe; Joachim Kopka; Lee J Sweetlove; Alisdair R Fernie
Journal:  Planta       Date:  2005-03-03       Impact factor: 4.116

5.  Metabolic network fluxes in heterotrophic Arabidopsis cells: stability of the flux distribution under different oxygenation conditions.

Authors:  Thomas C R Williams; Laurent Miguet; Shyam K Masakapalli; Nicholas J Kruger; Lee J Sweetlove; R George Ratcliffe
Journal:  Plant Physiol       Date:  2008-07-30       Impact factor: 8.340

6.  Inferring gene regulatory networks from asynchronous microarray data with AIRnet.

Authors:  David Oviatt; Mark Clement; Quinn Snell; Kenneth Sundberg; Chun Wan J Lai; Jared Allen; Randall Roper
Journal:  BMC Genomics       Date:  2010-11-02       Impact factor: 3.969

7.  Subcellular flux analysis of central metabolism in a heterotrophic Arabidopsis cell suspension using steady-state stable isotope labeling.

Authors:  Shyam K Masakapalli; Pascaline Le Lay; Joanna E Huddleston; Naomi L Pollock; Nicholas J Kruger; R George Ratcliffe
Journal:  Plant Physiol       Date:  2009-11-25       Impact factor: 8.340

8.  Integrative analyses of genetic variation in enzyme activities of primary carbohydrate metabolism reveal distinct modes of regulation in Arabidopsis thaliana.

Authors:  Joost J B Keurentjes; Ronan Sulpice; Yves Gibon; Marie-Caroline Steinhauser; Jingyuan Fu; Maarten Koornneef; Mark Stitt; Dick Vreugdenhil
Journal:  Genome Biol       Date:  2008-08-18       Impact factor: 13.583

9.  MetaCrop: a detailed database of crop plant metabolism.

Authors:  Eva Grafahrend-Belau; Stephan Weise; Dirk Koschützki; Uwe Scholz; Björn H Junker; Falk Schreiber
Journal:  Nucleic Acids Res       Date:  2007-10-11       Impact factor: 16.971

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.