Identification of important genomic regions controlling resistance to biotic and abiotic stresses in Vitis sp. through QTL meta-analysis
In the context of global change, the environmental conditions are expected to be more stressful for viticulture. The choice of the rootstock may play a crucial role to improve the adaptation of viticulture to new biotic and abiotic threats (Ollat et al., 2016). However, the selection of interesting traits in rootstock breeding programs is complex because of the combination of multiple targets in a same ideotype. In this sense, the integration of studies about the genetic architecture for desired biotic and abiotic response traits allow us to identify genomic regions to combine and those with interesting pleiotropic effects. In this work we aimed to study the genetic determinism of several traits related to disease resistance and tolerance to abiotic stresses in Vitis sp. with a potential interest to be used as grapevine rootstocks. For this purpose, 30 genetic maps and QTL mapping data, available in the literature, were collected and combined with unpublished QTL for root traits obtained at EGFV lab. This information was used to construct a dense consensus genetic map of Vitis sp.. Then, a QTL meta-analysis was conducted using the software Biomercator. The obtained consensus genetic map, comprising information from different Vitis sp. is a useful genetic resource for translational genetics. In addition, the identified meta-QTLs, that combined information from independent studies, allowed to reduce QTL confidence intervals, notably for tolerance to abiotic stress traits. These results, highlight the interest of QTL meta-analysis to narrow-down the position of loci controlling desired traits for rootstock breeding programs, as previously proved for scions (Delfino et al., 2019).
Ollat N. et al. (2016) Grapevine rootstocks: Origins and perspectives. Acta Horticulturae, 1136: 11-22. 10.17660/ActaHortic.2016.1136.2
Delfino, P. (2019) Selection of candidate genes controlling veraison time in grapevine through integration of meta-QTL and transcriptomic data. BMC Genomics, 20:1. https://doi.org/10.1186/s12864-019-6124-0
Issue: ICGWS 2023
1 EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, 33882 Villenave d’Ornon, France
2 UMR SAVE, INRAE, BSA, ISVV, 33882 Villenave d’Ornon, France