Literature DB >> 19027981

Metabolomics-assisted breeding: a viable option for crop improvement?

Alisdair R Fernie1, Nicolas Schauer.   

Abstract

Metabolomics approaches enable the parallel assessment of the levels of a broad range of metabolites and have been documented to have great value in both phenotyping and diagnostic analyses in plants. These tools have recently been turned to evaluation of the natural variance apparent in metabolite composition. Here, we describe exciting progress made in the identification of the genetic determinants of plant chemical composition, focussing on the application of metabolomics strategies and their integration with other high-throughput technologies. Metabolomics represents an important addition to the tools currently employed in genomics-assisted selection for crop improvement.

Mesh:

Year:  2008        PMID: 19027981     DOI: 10.1016/j.tig.2008.10.010

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  121 in total

Review 1.  Metabolomics of forage plants: a review.

Authors:  Susanne Rasmussen; Anthony J Parsons; Christopher S Jones
Journal:  Ann Bot       Date:  2012-02-19       Impact factor: 4.357

2.  Combining genetic diversity, informatics and metabolomics to facilitate annotation of plant gene function.

Authors:  Takayuki Tohge; Alisdair R Fernie
Journal:  Nat Protoc       Date:  2010-06-10       Impact factor: 13.491

3.  Natural Variation of Plant Metabolism: Genetic Mechanisms, Interpretive Caveats, and Evolutionary and Mechanistic Insights.

Authors:  Nicole E Soltis; Daniel J Kliebenstein
Journal:  Plant Physiol       Date:  2015-08-13       Impact factor: 8.340

4.  Genome-wide association mapping of leaf metabolic profiles for dissecting complex traits in maize.

Authors:  Christian Riedelsheimer; Jan Lisec; Angelika Czedik-Eysenberg; Ronan Sulpice; Anna Flis; Christoph Grieder; Thomas Altmann; Mark Stitt; Lothar Willmitzer; Albrecht E Melchinger
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-21       Impact factor: 11.205

Review 5.  What has natural variation taught us about plant development, physiology, and adaptation?

Authors:  Carlos Alonso-Blanco; Mark G M Aarts; Leonie Bentsink; Joost J B Keurentjes; Matthieu Reymond; Dick Vreugdenhil; Maarten Koornneef
Journal:  Plant Cell       Date:  2009-07-02       Impact factor: 11.277

Review 6.  Advancing genetic theory and application by metabolic quantitative trait loci analysis.

Authors:  Danielj Kliebenstein
Journal:  Plant Cell       Date:  2009-06-12       Impact factor: 11.277

Review 7.  Genomics and bioinformatics resources for crop improvement.

Authors:  Keiichi Mochida; Kazuo Shinozaki
Journal:  Plant Cell Physiol       Date:  2010-03-05       Impact factor: 4.927

8.  Observability of Plant Metabolic Networks Is Reflected in the Correlation of Metabolic Profiles.

Authors:  Kevin Schwahn; Anika Küken; Daniel J Kliebenstein; Alisdair R Fernie; Zoran Nikoloski
Journal:  Plant Physiol       Date:  2016-08-26       Impact factor: 8.340

9.  Recent advances in plant metabolomics and greener pastures.

Authors:  Lloyd W Sumner
Journal:  F1000 Biol Rep       Date:  2010-01-27

10.  The complex genetic architecture of the metabolome.

Authors:  Eva K F Chan; Heather C Rowe; Bjarne G Hansen; Daniel J Kliebenstein
Journal:  PLoS Genet       Date:  2010-11-04       Impact factor: 5.917

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