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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

  • Coton C., Talbot G., Le Louarn M., Dillmann C., de Vienne D. . (2021) Evolution of enzyme levels in metabolic pathways: A theoretical approach. bioRxiv,
  • Petrizzelli M., Vienne D., Nidelet T., Noûs C., Dillmann C.. (2020) Data integration uncovers the metabolic bases of phenotypic variation in yeast. bioRxiv, 2020.06.23.166405
  • de Vienne D. , Fiévet JB.. (2020) The Pitfalls of Heterosis Coefficients. Plants, 7 (9) 875
  • 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., 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
  • 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
  • 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
  • Fievet JB., Dillmann C., de Vienne D. . (2010) Systemic properties of metabolic networks lead to an epistasis-based model for heterosis. Theor Appl Genet, 2 (120) 463-73
  • Spor A., Dillmann C., Wang S., de Vienne D. , Sicard D., Parent E.. (2010) Hierarchical Bayesian Modelling for Saccharomyces cerevisiae population dynamics. International journal of food microbiology, 1-2 (142) 25-35
  • Albertin W., Marullo P., Aigle M., Bourgais A., Bely M., Dillmann C., de Vienne D. , Sicard D.. (2009) Evidence for autotetraploidy associated with reproductive isolation in Saccharomyces cerevisiae: towards a new domesticated species. Journal of evolutionary biology, 11 (22) 2157-70
  • Spor A., Nidelet T., Simon J., Bourgais A., de Vienne D. , Sicard D.. (2009) Niche-driven evolution of metabolic and life-history strategies in natural and domesticated populations of Saccharomyces cerevisiae. BMC evolutionary biology, (9) 296
  • Giraud T., Refregier G., Le Gac M., de Vienne D. , Hood ME.. (2008) Speciation in fungi. Fungal genetics and biology : FG & B, 6 (45) 791-802
  • Spor A., Wang S., Dillmann C., de Vienne D. , Sicard D.. (2008) "Ant" and "grasshopper" life-history strategies in Saccharomyces cerevisiae. PloS one, 2 (3) e1579
  • Falque M., Mercier R., Mézard C., de Vienne D. , Martin OC.. (2007) Patterns of Recombination and MLH1 Foci Density Along Mouse Chromosomes: Modeling Effects of Interference and Obligate Chiasma. Genetics, 3 (176) 1453-1467