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Génétique Quantitative et Évolution - Le Moulon

Dominique DE VIENNE

Dominique DE VIENNE

Professor, Université Paris-Saclay

dominique.de-vienne@inrae.fr

+33 (0)1 69 33 23 60
+33 (0)6 77 79 94 31

orcid.org/0000-0003-3395-7901

Publications

  • Génétique Quantitative et Évolution - Le Moulon
  • Université Paris-Saclay, INRAE, CNRS, AgroParisTech
  • Ferme du Moulon
  • F-91190 Gif-sur-Yvette

Positions

  • Professor at the Université Paris-Sud since 1990.
  • Former Research Director at the French National Institute of Agronomical Research (INRA).

Research management

  • Former Director of the Plant Genetics Laboratory (INRA, Université Paris-Sud, CNRS, AgroParisTech) in Gif-sur-Yvette (1999–2014)
  • Member of the Scientific Council of the Doctoral Schools Genes, Genomes, Cells, then Structure and Dynamics of the Living Systems of the Université Paris-Saclay (2000-present).
  • Regular member of scientist evaluation authorities (Université Paris-Sud, CNRS and INRA) and of the French High Council for Evaluation of Research and Higher Education (Hcéres).

Research interests

My constant scientific interest is focused on the relationships between genotype and phenotype and on the emergence phenomenon. My work dealt initially with the analysis of maize responses to water deficit, using molecular markers and proteomics. My group played a pioneer role in quantitative proteomics in France, and in the detection of genes that control protein expression (Protein Quantity Loci, or PQL). My current area of research is modelling in quantitative genetics, relying on biochemical theory of metabolic networks and systems biology. In this context I analyse the bases of heterosis (hybrid vigor), a major phenomenon for plant and animal breeding.

Teaching

  • Quantitative and populations genetics
  • Eukaryote Evolution
  • Mathematic modelling of metabolism.

Publications

Petrizzelli M, de Vienne D, Dillmann C. (2019) Decoupling the Variances of Heterosis and Inbreeding Effects Is Evidenced in Yeast's Life-History and Proteomic Traits. Genetics, 2 (211) 741-756
Petrizzelli M, 8 juillet 2019, Mathematical modelling and integration of complex biological data: analysis of the heterosis phenomenon in yeas
Vasseur F, Fouqueau L, de Vienne D, Nidelet T, Violle C, Weigel D. (2019) Nonlinear phenotypic variation uncovers the emergence of heterosis in Arabidopsis thaliana. PLoS Biol, 4 (17) e3000214
Fiévet JB, Nidelet T, Dillmann C, de Vienne D. (2018) Heterosis Is a Systemic Property Emerging From Non-linear Genotype-Phenotype Relationships: Evidence From in Vitro Genetics and Computer Simulations. Front. Genet., (9)
Sabarly V, Aubron C, Glodt J, Balliau T, Langella O, Chevret D, Rigal O, Bourgais A, Picard B, de Vienne D, Denamur E, Bouvet O, Dillmann C. (2016) Interactions between genotype and environment drive the metabolic phenotype within Escherichia coli isolates. Environmental microbiology, 1 (18) 100-17
Blein-Nicolas M, Albertin W, da Silva T, Valot B, Balliau T, Masneuf-Pomarède I, Bely M, Marullo P, Sicard D, Dillmann C, de Vienne D, Zivy M. (2015) A Systems Approach to Elucidate Heterosis of Protein Abundances in Yeast. Mol. Cell Proteomics, 8 (14) 2056-2071
da Silva T, Albertin W, Dillmann C, Bely M, la Guerche S, Giraud C, Huet S, Sicard D, Masneuf-Pomarede I, de Vienne D, Marullo P. (2015) Hybridization within Saccharomyces Genus Results in Homoeostasis and Phenotypic Novelty in Winemaking Conditions. PloS one, 5 (10) e0123834
Spor A, Kvitek DJ, Nidelet T, Martin J, Legrand J, Dillmann C, Bourgais A, de Vienne D, Sherlock G, Sicard D. (2014) Phenotypic and genotypic convergences are influenced by historical contingency and environment in yeast. Evolution; international journal of organic evolution, 3 (68) 772-90
Albertin W, da Silva T, Rigoulet M, Salin B, Masneuf-Pomarede I, de Vienne D, Sicard D, Bely M, Marullo P. (2013) The mitochondrial genome impacts respiration but not fermentation in interspecific Saccharomyces hybrids. PloS one, 9 (8) e75121
Albertin W, Marullo P, Bely M, Aigle M, Bourgais A, Langella O, Balliau T, Chevret D, Valot B, da Silva T, Dillmann C, de Vienne D, Sicard D. (2013) Linking post-translational modifications and variation of phenotypic traits. Molecular & cellular proteomics : MCP, 3 (12) 720-35
Blein-Nicolas M, Albertin W, Valot B, Marullo P, Sicard D, Giraud C, Huet S, Bourgais A, Dillmann C, de Vienne D, Zivy M. (2013) Yeast proteome variations reveal different adaptive responses to grape must fermentation. Molecular biology and evolution, 6 (30) 1368-83
Blein-Nicolas M, Xu H, de Vienne D, Giraud C, Huet S, Zivy M. (2012) Including shared peptides for estimating protein abundances: a significant improvement for quantitative proteomics. Proteomics, 18 (12) 2797-801
Albertin W, Marullo P, Aigle M, Dillmann C, de Vienne D, Bely M, Sicard D. (2011) Population size drives industrial Saccharomyces cerevisiae alcoholic fermentation and is under genetic control. Applied and environmental microbiology, 8 (77) 2772-84
Fiévet JB, Gallais A, de Vienne D, Prioul JL, Thévenot C, Molnar T, Mike Burrel . (2011) Heterosis, inbreeding depression and hybrid varieties. , 67-87
Sabarly V, Bouvet O, Glodt J, Clermont O, Skurnik D, Diancourt L, de Vienne D, Denamur E, Dillmann C. (2011) The decoupling between genetic structure and metabolic phenotypes in Escherichia coli leads to continuous phenotypic diversity. Journal of evolutionary biology, 7 (24) 1559-71
Wang S, Spor A, Nidelet T, Montalent P, Dillmann C, de Vienne D, Sicard D. (2011) Switch between life history strategies due to changes in glycolytic enzyme gene dosage in Saccharomyces cerevisiae. Applied and environmental microbiology, 2 (77) 452-9