Abstract

BackgroundAs for many crops, new high-quality grapevine varieties requiring less pesticide and adapted to climate change are needed. In perennial species, breeding is a long process which can be speeded up by gaining knowledge about quantitative trait loci linked to agronomic traits variation. However, due to the long juvenile period of these species, establishing numerous highly recombinant populations for high resolution mapping is both costly and time-consuming. Genome wide association studies in germplasm panels is an alternative method of choice, since it allows identifying the main quantitative trait loci with high resolution by exploiting past recombination events between cultivars. Such studies require adequate panel design to represent most of the available genetic and phenotypic diversity. Assessing linkage disequilibrium extent and panel power is also needed to determine the marker density required for association studies.ResultsStarting from the largest grapevine collection worldwide maintained in Vassal (France), we designed a diversity panel of 279 cultivars with limited relatedness, reflecting the low structuration in three genetic pools resulting from different uses (table vs wine) and geographical origin (East vs West), and including the major founders of modern cultivars. With 20 simple sequence repeat markers and five quantitative traits, we showed that our panel adequately captured most of the genetic and phenotypic diversity existing within the entire Vassal collection. To assess linkage disequilibrium extent and panel power, we genotyped single nucleotide polymorphisms: 372 over four genomic regions and 129 distributed over the whole genome. Linkage disequilibrium, measured by correlation corrected for kinship, reached 0.2 for a physical distance between 9 and 458 Kb depending on genetic pool and genomic region, with varying size of linkage disequilibrium blocks. This panel achieved reasonable power to detect associations between traits with high broad-sense heritability (> 0.7) and causal loci with intermediate allelic frequency and strong effect (explaining > 10 % of total variance).ConclusionsOur association panel constitutes a new, highly valuable resource for genetic association studies in grapevine, and deserves dissemination to diverse field and greenhouse trials to gain more insight into the genetic control of many agronomic traits and their interaction with the environment.Electronic supplementary materialThe online version of this article (doi:10.1186/s12870-016-0754-z) contains supplementary material, which is available to authorized users.

Highlights

  • As for many crops, new high-quality grapevine varieties requiring less pesticide and adapted to climate change are needed

  • The simple sequence repeat (SSR) diversity captured in the association panel was representative of the diversity existing in the whole Vassal collection (Additional file 8)

  • Mean relatedness was already low in the Vassal collection (0.047), and it was further reduced in the association panel (0.042; Wilcoxon rank-sum test, p-value < 0.0001, Additional file 9)

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Summary

Introduction

As for many crops, new high-quality grapevine varieties requiring less pesticide and adapted to climate change are needed. Genome wide association studies in germplasm panels is an alternative method of choice, since it allows identifying the main quantitative trait loci with high resolution by exploiting past recombination events between cultivars Such studies require adequate panel design to represent most of the available genetic and phenotypic diversity. 73.7 million tonnes of grapes were produced on 7.5 million ha in 2014, and wine trade represented a gross value of 25.6 billion euros [1] This high value crop requires adaptation to upcoming climate changes [2]. It is crucial to rapidly breed new adapted and resistant cultivars In this perennial species with a long juvenile period, breeding is still a slow process knowledge of the genetic determinism of agronomic traits is just emerging to speed up breeding through marker assisted selection [5,6,7,8,9]

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