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José M. Jiménez-Gómez

Researcher at Université Paris-Saclay

Publications -  55
Citations -  3463

José M. Jiménez-Gómez is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Population & Arabidopsis. The author has an hindex of 26, co-authored 52 publications receiving 2617 citations. Previous affiliations of José M. Jiménez-Gómez include Agro ParisTech & University of California, Davis.

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Network Quantitative Trait Loci Mapping of Circadian Clock Outputs Identifies Metabolic Pathway-to-Clock Linkages in Arabidopsis

TL;DR: Genetic manipulation of a secondary metabolic enzyme led to altered free-running rhythms in Arabidopsis thaliana secondary metabolism, and this represents a unique and valuable approach to the study of complex networks using quantitative genetics.
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Network Analysis Identifies ELF3 as a QTL for the Shade Avoidance Response in Arabidopsis

TL;DR: This work shows that development of networks to inform candidate gene identification for QTLs is a promising technique that can significantly accelerate the process of QTL cloning.
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Multi-Omics of Tomato Glandular Trichomes Reveals Distinct Features of Central Carbon Metabolism Supporting High Productivity of Specialized Metabolites

TL;DR: Comparison metabolomics, transcriptomics, proteomics, and 13C-labeling of type VI glandular trichomes and leaves from a cultivated and a wild tomato accession reveal unique features for the supply of energy, reducing power and carbon in these metabolic cell factories.
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Nonsense-mediated mRNA decay modulates immune receptor levels to regulate plant antibacterial defense.

TL;DR: It is shown that NMD contributes to innate immunity in Arabidopsis by controlling the turnover of numerous TIR domain-containing, nucleotide-binding, leucine-rich repeat (TNL) immune receptor-encoding mRNAs.
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Genomic analysis of QTLs and genes altering natural variation in stochastic noise.

TL;DR: Using a single isogenic population, it is confirmed that natural variation at ELF3 alters stochastic noise in the circadian clock and metabolism and it remains to be determined if natural genetic variation controlling Stochasticity is equally distributed across the genomes of other multi-cellular eukaryotes.