Document details for 'Quantitative trait loci analysis to study the genetic regulation of non-polar metabolites in perennial ryegrass'

Authors Foito, A., Hackett, C.A., Byrne, S., Stewart, D. and Barth, S.
Publication details Metabolomics 11(2), 412-424.
Keywords Lolium perenne; Metabolomics; QTL
Abstract In recent years advances in quantitative trait loci (QTL) mapping of complex metabolomics traits have been made in plants. This study is a two-phase experiment in which we have profiled transesterified non-polar metabolites in a Lolium perenne population consisting of parents, F1 and 325 F2 genotypes. These were grown in a replicated field trial, then analysed in batches by a targeted approach using gas-chromatography mass spectrometry (GC-MS), which identified 17 metabolites. The metabolite data was analysed using a mixed model that included random effects of field replicate, laboratory batch and technical replication to derive genotype means for QTL mapping. Using a linkage map of 326 markers, mainly Diversity Array Technology markers, QTLs were detected for seven of the metabolites. The most heritable metabolite was octacosanol, where a single QTL on linkage group four explained 42 % of the trait variance.
Last updated 2017-01-11

Unless explicitly stated otherwise, all material is copyright © Biomathematics and Statistics Scotland.

Biomathematics and Statistics Scotland (BioSS) is formally part of The James Hutton Institute (JHI), a registered Scottish charity No. SC041796 and a company limited by guarantee No. SC374831. Registered Office: JHI, Invergowrie, Dundee, DD2 5DA, Scotland