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.
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Acknowledgments
We are grateful to the expert help in manually editing metabolite data to Alexandre Gervaise. This study was financed through a Research Stimulus Fund Grant by the Irish Department of Agriculture, Fisheries and Marine (RSF 06-346).
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Alexandre Foito and Christine Anne Hackett contributed equally to the work.
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Foito, A., Hackett, C.A., Byrne, S.L. et al. Quantitative trait loci analysis to study the genetic regulation of non-polar metabolites in perennial ryegrass. Metabolomics 11, 412–424 (2015). https://doi.org/10.1007/s11306-014-0703-5
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DOI: https://doi.org/10.1007/s11306-014-0703-5