eCite Digital Repository
Quantitative trait loci in hop (Humulus lupulus L.) reveal complex genetic architecture underlying variation in sex, yield and cone chemistry
Citation
McAdam, EL and Freeman, JS and Whittock, SP and Buck, EJ and Jakse, J and Cerenak, A and Javornik, B and Kilian, A and Wang, C-H and Andersen, D and Vaillancourt, RE and Carling, J and Beatson, R and Graham, L and Graham, D and Darby, P and Koutoulis, A, Quantitative trait loci in hop (Humulus lupulus L.) reveal complex genetic architecture underlying variation in sex, yield and cone chemistry, BMC Genomics, 14, (1) Article 360. ISSN 1471-2164 (2013) [Refereed Article]
 | PDF 525Kb |
Copyright Statement
Licensed under Creative Commons Attribution 2.0 Generic (CC BY 2.0) http://creativecommons.org/licenses/by/2.0/
DOI: doi:10.1186/1471-2164-14-360
Abstract
Background: Hop (Humulus lupulus L.) is cultivated for its cones, the secondary metabolites of which contribute bitterness, flavour and aroma to beer. Molecular breeding methods, such as marker assisted selection (MAS), have great potential for improving the efficiency of hop breeding. The success of MAS is reliant on the identification of reliable marker-trait associations. This study used quantitative trait loci (QTL) analysis to identify marker-trait associations for hop, focusing on traits related to expediting plant sex identification, increasing yield capacity and improving bittering, flavour and aroma chemistry.
Results: QTL analysis was performed on two new linkage maps incorporating transferable Diversity Arrays Technology (DArT) markers. Sixty-three QTL were identified, influencing 36 of the 50 traits examined. A putative sex-linked marker was validated in a different pedigree, confirming the potential of this marker as a screening tool in hop breeding programs. An ontogenetically stable QTL was identified for the yield trait dry cone weight; and a
QTL was identified for essential oil content, which verified the genetic basis for variation in secondary metabolite accumulation in hop cones. A total of 60 QTL were identified for 33 secondary metabolite traits. Of these, 51 were pleiotropic/linked, affecting a substantial number of secondary metabolites; nine were specific to individual secondary metabolites.
Conclusions: Pleiotropy and linkage, found for the first time to influence multiple hop secondary metabolites, have important implications for molecular selection methods. The selection of particular secondary metabolite profiles using pleiotropic/linked QTL will be challenging because of the difficulty of selecting for specific traits without adversely changing others. QTL specific to individual secondary metabolites, however, offer unequalled value to
selection programs. In addition to their potential for selection, the QTL identified in this study advance our understanding of the genetic control of traits of current economic and breeding significance in hop and demonstrate the complex genetic architecture underlying variation in these traits. The linkage information obtained in this study, based on transferable markers, can be used to facilitate the validation of QTL, crucial to the success of MAS.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | Linkage map, Transferable marker, Diversity arrays technology DArT, Pleiotropy, Sex-linked marker, Dry cone weight, Plant secondary metabolite, Hop acid, Essential oil |
| Research Division: | Agricultural, Veterinary and Food Sciences |
| Research Group: | Horticultural production |
| Research Field: | Horticultural crop improvement (incl. selection and breeding) |
| Objective Division: | Plant Production and Plant Primary Products |
| Objective Group: | Industrial crops |
| Objective Field: | Hops |
| UTAS Author: | McAdam, EL (Dr Erin McAdam) |
| UTAS Author: | Freeman, JS (Dr Jules Freeman) |
| UTAS Author: | Whittock, SP (Mr Simon Whittock) |
| UTAS Author: | Vaillancourt, RE (Professor Rene Vaillancourt) |
| UTAS Author: | Koutoulis, A (Professor Anthony Koutoulis) |
| ID Code: | 88858 |
| Year Published: | 2013 |
| Web of Science® Times Cited: | 26 |
| Deposited By: | Plant Science |
| Deposited On: | 2014-02-19 |
| Last Modified: | 2017-11-06 |
| Downloads: | 365 View Download Statistics |
Repository Staff Only: item control page