Publications related to CA17111
When the presented results involved the ACTION (e.g. establishment of collaborations, STSMs, ITCs, working group meetings, etc)
Please use the following text to acknowledge CA 17111 INTEGRAPE in all of your future publications related to INTEGRAPE: This article/publication is based upon work from COST Action CA 17111 INTEGRAPE, supported by COST (European Cooperation in Science and Technology).
When INTEGRAPE guidelines and catalogues were used in your Manuscript
Please use the following text to acknowledge CA 17111 INTEGRAPE: This article/publication followed the rules and guidelines offered by the COST Action CA 17111 INTEGRAPE, supported by COST (European Cooperation in Science and Technology).
- Ghaffari, S., Reynard, J.S. & Rienth, M. Single berry reconstitution prior to RNA-sequencing reveals novel insights into transcriptomic remodeling by leafroll virus infections in grapevines. Sci Rep 10, 12905 (2020). https://doi.org/10.1038/s41598-020-69779-1
- Frommer B, Holtgräwe D, Hausmann L, Viehöver P, Huettel B, Töpfer R, Weisshaar B. Genome Sequences of Both Organelles of the Grapevine Rootstock Cultivar ‘Börner’. Microbiol Resour Announc. 2020 Apr 9;9(15):e01471-19. https://doi.org/10.1128/MRA.01471-19
- Orchestration of the stilbene synthase gene family and their regulators by subgroup 2 MYB genes.
Gabriella De Lorenzis
Silvia Laura Toffolatti
This Research Topic aims to update current knowledge on the genetic strategies fostering wine grape, table grape, and rootstock improvement, as well as to shed light on genes and genetic variation involved in different mechanisms related to the implementation of grape quality traits and grape adaptation to biotic and abiotic stresses. We welcome excellent Original Research and Review articles dealing with various aspects of the identification of key genes for further breeding programs. Manuscripts should address, but not be restricted to, the following topics:
- Genetic and phenotypic characterization of relevant traits for current grapevine breeding and clonal selection programs;
- QTL (Quantitative Trait Loci), and association mapping (Genome-Wide and Candidate-Gene Association Studies, GWAS and CGAS) approaches and studies for the identification of candidate genes and genetic variants associated with biotic and abiotic stress adaptation and for fruit quality and productivity improvement;
- Deep sequencing and RNA-seq studies to identify markers, candidate genes and genetic variants enabling the improvement of vines adaptation to biotic and abiotic constraints and of fruit quality and productivity;
- Development of new strategies to speed up genetic marker identification and genetic screening in breeding programs;
- Functional analysis of candidate genes for breeding programs through genetic transformation approaches (such as genome editing, cisgenesis, etc.).