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| Reference : Genetical metabolomics of flavonoid biosynthesis in Populus: a case study |
| Scientific journals : Article | |||
| Life sciences : Phytobiology (plant sciences, forestry, mycology...) | |||
| http://hdl.handle.net/2268/101954 | |||
| Genetical metabolomics of flavonoid biosynthesis in Populus: a case study | |
| English | |
| Morreel, K. [> > > >] | |
| Goeminne, G. [> > > >] | |
| Storme, V. [> > > >] | |
| Sterck, L. [> > > >] | |
| Ralph, J. [> > > >] | |
Coppieters, Wouter  [Université de Liège - ULg > Département de productions animales > Département de productions animales >] | |
| Breyne, P. [> > > >] | |
| Steenackers, M. [> > > >] | |
| Georges, Michel [Université de Liège - ULg > Département de productions animales > Génomique animale >] | |
| Messens, E. [> > > >] | |
| Boerjan, W. [> > > >] | |
| Jul-2006 | |
| Plant Journal | |
| Blackwell Publishing | |
| 47 | |
| 2 | |
| 224-237 | |
| Yes (verified by ORBi) | |
| International | |
| 0960-7412 | |
| Oxford | |
| [en] poplar ; flavonoids ; metabolite profiling ; correlation analysis ; mQTL ; genetical metabolomics | |
| [en] Genetical metabolomics [metabolite profiling combined with quantitative trait locus (QTL) analysis] has been proposed as a new tool to identify loci that control metabolite abundances. This concept was evaluated in a case study with the model tree Populus. Using HPLC, the peak abundances were analyzed of 15 closely related flavonoids present in apical tissues of two full-sib poplar families, Populus deltoides cv. S9-2 x P. nigra cv. Ghoy and P. deltoides cv. S9-2 x P. trichocarpa cv. V24, and correlation and QTL analysis were used to detect flux control points in flavonoid biosynthesis. Four robust metabolite quantitative trait loci (mQTL), associated with rate-limiting steps in flavonoid biosynthesis, were mapped. Each mQTL was involved in the flux control to one or two flavonoids. Based on the identities of the affected metabolites and the flavonoid pathway structure, a tentative function was assigned to three of these mQTL, and the corresponding candidate genes were mapped. The data indicate that the combination of metabolite profiling with QTL analysis is a valuable tool to identify control points in a complex metabolic pathway of closely related compounds. | |
| Researchers ; Professionals | |
| http://hdl.handle.net/2268/101954 |
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