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Characterization of metabolite quantitative trait loci and metabolic networks that control glucosinolate concentration in the seeds and leaves of Brassica napus

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Feng, Ji, Long, Yan, Shi, Lei, Shi, Jiaqin, Barker, Guy C. and Meng, Jinling. (2011) Characterization of metabolite quantitative trait loci and metabolic networks that control glucosinolate concentration in the seeds and leaves of Brassica napus. New Phytologist, Vol.193 (No.1). pp. 96-108. ISSN 0028-646X

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Official URL: http://dx.doi.org/10.1111/j.1469-8137.2011.03890.x

Abstract

Glucosinolates are a major class of secondary metabolites found in the Brassicaceae, whose degradation products are proving to be increasingly important for human health and in crop protection. The genetic and metabolic basis of glucosinolate accumulation was dissected through analysis of total glucosinolate concentration and its individual components in both leaves and seeds of a doubled-haploid (DH) mapping population of oilseed rape/canola (Brassica napus). The quantitative trait loci (QTL) that had an effect on glucosinolate concentration in either or both of the organs were integrated, resulting in 105 metabolite QTL (mQTL). Pairwise correlations between individual glucosinolates and prior knowledge of the metabolic pathways involved in the biosynthesis of different glucosinolates allowed us to predict the function of genes underlying the mQTL. Moreover, this information allowed us to construct an advanced metabolic network and associated epistatic interactions responsible for the glucosinolate composition in both leaves and seeds of B.similar to napus. A number of previously unknown potential regulatory relationships involved in glucosinolate synthesis were identified and this study illustrates how genetic variation can affect a biochemical pathway.

Item Type: Journal Article
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Science > Life Sciences (2010- )
Journal or Publication Title: New Phytologist
Publisher: Wiley-Blackwell Publishing Ltd.
ISSN: 0028-646X
Date: 2011
Volume: Vol.193
Number: No.1
Number of Pages: 13
Page Range: pp. 96-108
Identification Number: 10.1111/j.1469-8137.2011.03890.x
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: National Basic Research and Development Program (973 Program) , National 863 High Technology Program, P. R. China
Grant number: 2006CB101600(973 Program), 2006AA10A113
URI: http://wrap.warwick.ac.uk/id/eprint/42329

Data sourced from Thomson Reuters' Web of Knowledge

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