Background High temperature during grape berry ripening impairs the quality of fruits and wines. Veraison time, which marks ripening onset, is a key factor for determining climatic conditions during berry ripening. Understanding its genetic control is crucial to successfully breed varieties more adapted to a changing climate. Quantitative trait loci (QTL) studies attempting to elucidate the genetic determinism of developmental stages in grapevine have identified wide genomic regions. Broad scale transcriptomic studies, by identifying sets of genes modulated during berry development and ripening, also highlighted a huge number of putative candidates. Results With the final aim of providing an overview about available information on the genetic control of grapevine veraison time, and prioritizing candidates, we applied a meta-QTL analysis for grapevine phenology-related traits and checked for co-localization of transcriptomic candidates. A consensus genetic map including 3130 markers anchored to the grapevine genome assembly was compiled starting from 39 genetic maps. Two thousand ninety-three QTLs from 47 QTL studies were projected onto the consensus map, providing a comprehensive overview about distribution of available QTLs and revealing extensive co-localization especially across phenology related traits. From 141 phenology related QTLs we generated 4 veraison meta-QTLs located on linkage group (LG) 1 and 2, and 13 additional meta-QTLs connected to the veraison time genetic control, among which the most relevant were located on LG 14, 16 and 18. Functional candidates in these intervals were inspected. Lastly, taking advantage of available transcriptomic datasets, expression data along berry development were integrated, in order to pinpoint among positional candidates, those differentially expressed across the veraison transition. Conclusion Integration of meta-QTLs analysis on available phenology related QTLs and data from transcriptomic dataset allowed to strongly reduce the number of candidate genes for the genetic control of the veraison transition, prioritizing a list of 272 genes, among which 78 involved in regulation of gene expression, signal transduction or development.
Seedlessness represents a highly appreciated trait in table grapes. Based on an interesting case of seedless fruit production described in the crop species Annona squamosa, we focused on the Vitis vinifera INNER NO OUTER (INO) gene as a candidate. This gene encodes a transcription factor belonging to the YABBY family involved in the determination of abaxial identity in several organs. In Arabidopsis thaliana, this gene was shown to be essential for the formation and asymmetric growth of the ovule outer integument and its mutation leads to a phenotypic defect of ovules and failure in seed formation. In this study, we identified in silico the V. vinifera orthologue and investigated its phylogenetic relationship to INO genes from other species and its expression in different organs in seeded and seedless varieties. Applying cross-species complementation, we have tested its functionality in the Arabidopsis ino-1 mutant. We show that the V. vinifera INO successfully rescues the ovule outer integument growth and seeds set and also partially complements the outer integument asymmetric growth in the Arabidopsis mutant, differently from orthologues from other species. These data demonstrate that VviINO retains similar activity and protein targets in grapevine as in Arabidopsis. Potential implications for grapevine breeding are discussed.
Pathogens deliver effectors into plant cells to suppress immunity-related signaling. However, effector recognition by the host elicits a hypersensitive response (HR) that overcomes the inhibition of host signaling networks, restoring disease resistance. Signaling components are shared between the pathogen-associated molecular pattern-triggered immunity and effector-triggered immunity, and it is unclear how plants inactivate these effectors to execute the HR. Here, we report that, in , during the onset of the HR, the bacterial effector HopAI1 is-nitrosylated and that this modification inhibits its phosphothreonine lyase activity. HopAI1 targets and suppresses mitogen-activated protein kinases (MAPKs). The -nitrosylation of HopAI1 restores MAPK signaling and is required during the HR for activation of the associated cell death.-nitrosylation is therefore revealed here as a nitric oxide-dependent host strategy involved in plant immunity that works by directly disarming effector proteins.
The hypersensitive response is one of the most powerful and complex defense reactions to survive to pathogen attacks during an incompatible plant-pathogen interaction. Local programmed cell death accompanies the hypersensitive response at the site of infection to prevent pathogen growth and spread. A precise quantitative assessment of this form of programmed cell death is essential to unravel the genetic and molecular mechanisms underlying the process. Here, we first describe the optimization of a Trypan Blue staining protocol for quantitatively measuring the HR-cell death in Arabidopsis. Furthermore, we provide an electrolyte leakage protocol based on pathogen vacuum infiltration, which allows its simultaneous application to a large number of plants as well as to Arabidopsis mutants affected by small size phenotype.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.