Genomic ancestry estimation quantifies use of wild species in grape breeding

Zoë Migicovsky, Jason Sawler, Daniel Money, Rudolph Eibach, Allison J. Miller, James J. Luby, Andrew R. Jamieson, Dianne Velasco, Sven von Kintzel, John Warner, Walter Wührer, Patrick J. Brown, Sean Myles

Research output: Contribution to journalArticlepeer-review

30 Scopus citations


Background: Grapes are one of the world's most valuable crops and most are made into wine. Grapes belong to the genus Vitis, which includes over 60 inter-fertile species. The most common grape cultivars derive their entire ancestry from the species Vitis vinifera, but wild relatives have also been exploited to create hybrid cultivars, often with increased disease resistance. Results: We evaluate the genetic ancestry of some of the most widely grown commercial hybrids from North America and Europe. Using genotyping-by-sequencing (GBS), we generated 2482 SNPs and 56 indels from 7 wild Vitis, 7 V. vinifera, and 64 hybrid cultivars. We used a principal component analysis (PCA) based ancestry estimation procedure and verified its accuracy with both empirical and simulated data. V. vinifera ancestry ranged from 11 % to 76 % across hybrids studied. Approximately one third (22/64) of the hybrids have ancestry estimates consistent with F1 hybridization: they derive half of their ancestry from wild Vitis and half from V. vinifera. Conclusions: Our results suggest that hybrid grape breeding is in its infancy. The distribution of V. vinifera ancestry across hybrids also suggests that backcrosses to wild Vitis species have been more frequent than backcrosses to V. vinifera during hybrid grape breeding. This pattern is unusual in crop breeding, as it is most common to repeatedly backcross to elite, or domesticated, germplasm. We anticipate our method can be extended to facilitate marker-assisted selection in order to introgress beneficial wild Vitis traits, while allowing for offspring with the highest V. vinifera content to be selected at the seedling stage.

Original languageEnglish (US)
Article number478
JournalBMC Genomics
Issue number1
StatePublished - Jun 30 2016

Bibliographical note

Funding Information:
This article was written, in part, thanks to funding from the Canada Research Chairs program, the National Sciences and Engineering Research Council of Canada and Genome Canada. Z.M. was supported in part by a Killam Predoctoral Scholarship from Dalhousie University.

Publisher Copyright:
© 2016 The Author(s).


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