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Chedid, E.

Publications and source records attributed to Chedid, E..

3 recordsLinked to original sources

Non-plastic gene expression underlies root phenotypes involved in drought adaptation in Vitis spp.

Drought is a major abiotic stress threatening plant productivity and agricultural sustainability, yet the molecular mechanisms underlying adaptive root responses to water deficit in the water use strategies continuum remain insufficiently understood, particularly in perennial crops. In this study, we explored drought responses in nine accessions belonging to three wild Vitis species (V. acerifolia, V. candicans, and V. doaniana) displaying variying drought-response strategies. Plants were subjected to moderate drought stress (40% soil water content) for three weeks under greenhouse conditions. By integrating physiological, metabolic, and transcriptomic analyses, we aimed to identify both conserved and species-specific mechanisms associated with drought adaptation. Differential expression analyses revealed a conserved core set of drought-responsive genes shared among species, including genes involved in abscisic acid signaling, reactive oxygen species detoxification, solute transport, and plant defense. In parallel, each species exhibited distinct transcriptional and metabolic signatures reflecting alternative adaptive strategies related to osmoregulation, and oxidative stress mitigation. Weighted gene co-expression network analysis (WGCNA) further revealed significant associations between constitutive, non-plastic gene expression and root phenotypic traits. Overall, our findings demonstrate that wild Vitis species rely on both conserved stress-responsive pathways and species-specific constitutive regulation to cope with drought stress. These results highlight the importance of root-associated traits and intrinsic regulatory networks in shaping drought adaptation and provide new targets for the development of drought-resilient grapevine rootstocks.

plant biology↗

Comparative assessment of genomic, phenomic, and metabolomic prediction models in biparental grapevine breeding populations

Accelerating grapevine breeding for disease resistance and climate adaptation remains constrained by long generation cycles. We benchmarked genomic (SNP), phenomic (NIRS), and metabolomic (untargeted LC-MS) prediction for 24 agronomic traits in a biparental population phenotyped over three years. Seven statistical frameworks and four tissue x timepoint combinations (wood; vineyard leaves at budbreak and flowering; greenhouse leaves at flowering) were evaluated, together with feature-wise BLUPs across samples. Cross-year and cross-population analyses with two additional populations assessed temporal robustness and transferability. Genomic prediction was most accurate (up to r = 0.83), metabolomic prediction was intermediate (up to r = 0.59), and phenomic prediction was lowest (up to r = 0.39) despite its lower acquisition cost. Metabolite features were more heritable than NIR wavelengths, for which most unexplained variation remained residual under the fitted model. Multi-omics integration produced limited overall gains. These results support genomic selection as the primary approach, with metabolomic or phenomic screening considered only for traits and sampling designs that show reproducible predictive signal.

genomics↗

Impact of the introgression of resistance loci on agro-oenological traits in grapevine interspecific hybrids

O_LIA major aim in modern grapevine (Vitis vinifera L.) breeding programs is the introgression of disease resistance genes along with desired cultural and nological traits. Understanding the genetic links between resistance genes and agro-nological traits is a crucial issue for grapevine breeders. C_LIO_LIWe studied the genetic determinism of a wide range of agro-oenological traits in a complex interspecific hybrid population and identified two cases of colocalizations with disease resistance quantitative trait loci (QTL). C_LIO_LIThe species of origin of chromosomal regions in the off-springs were determined thanks to in silico chromosome painting. The linkage drag around resistance genes from primary gene pool was assessed as low due to a good recombination rate with V. vinifera. C_LIO_LIWe established that wild Vitis species are, apart from their interest in disease resistance, essential resources for improving the cultural characteristics of grapevine. C_LI

plant biology↗