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portrait de Dominique de VienneDominique de Vienne

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Génétique Quantitative et Évolution – Le Moulon
INRA, Université Paris-Sud, CNRS, AgroParisTech
Ferme du Moulon
F-91190 Gif-sur-Yvette, France
e-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
Tel: (33) 1 69 33 23 60
ORCID

 

> 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.

 

> Selected publications

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. Environ Microbiol, 18 (1) 100-17.

Blein-Nicolas M., Albertin W., da Silva T., Valot B., Balliau T., Masneuf-Pomarede 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, 14 (8) 2056-71.

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, 10 (5) e0123834.

Spor A., Kvitek D. J., 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, 68 (3) 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. Mol Cell Proteomics, 12 (3) 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. Mol Biol Evol, 30 (6) 1368-83.

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. J Evol Biol, 24 (7) 1559-71.

Fiévet J. B., Dillmann C., & de Vienne D. (2010) Systemic properties of metabolic networks lead to an epistasis-based model for heterosis. Theor Appl Genet, 120, 463–473.

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 Evol Biol, 9, 296.

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. J Evol Biol, 22:2157-70.

Spor A., Wang S., Dillmann C., de Vienne D., Sicard D. (2008) "Ant" and "grasshopper" life-history strategies in Saccharomyces cerevisiae. PLoS ONE 3 : e1579.

Falque M., Mercier R., Mézard C., de Vienne D., Martin O. C. (2007. Patterns of crossing-over density along chromosomes: role of interference and obligate chiasma. Genetics 176: 1453-1467.

Manicacci D., Falque M., Le Guillou S., Piégu B., Henry A.-M., Le Guilloux M., Damerval C., de Vienne D. (2007) Maize Sh2 gene is constrained by natural selection but escaped domestication. J Evol Biol 20 (2), 503–516.

Fiévet J, Dillmann C, Curien G, de Vienne D. (2006) Simplified modelling of metabolic pathways for flux prediction and optimisation: lessons from an in vitro reconstruction of the upper part of glycolysis. Biochem J, 396, 317-326.

Lion S., Gabriel F., Bost B., Fiévet J., Dillmann C., de Vienne, D. (2004) An extension to the metabolic control theory taking into account correlations between enzyme concentrations. Eur J Biochem 271, 4375-4391.

Fiévet J., Lagniel G., Dillmann C., Davanture M., Labarre J., de Vienne, D. (2004) Assessing factors for reliable quantitative proteomics based on two-dimensional electrophoresis. Proteomics 4, 1939-1949.

Bost B., de Vienne D., Hospital F., Moreau L., Dillmann C. (2001) Genetic and nongenetic bases for the L-shaped distribution of Quantitative Trait Loci effects. Genetics 157, 1773-1787.

Zivy M., de Vienne D. (2000) Proteomics: a link between genomics, genetics and physiology. Plant Mol Biol, 44, 575-580.

Bost B., Dillmann C., de Vienne D. (1999) Fluxes and metabolic pools as model traits for quantitative genetics. I. The L-shaped distribution of gene effects. Genetics 153: 2001-2012.

Thiellement H., Bahrman N., Damerval C., Plomion C. , Rossignol M., Santoni V. , de Vienne D., Zivy M. (1999) Proteomics for genetical and physiological studies in plants. Electrophoresis 20: 2013-2026.

Prioul J.-L., Pelleschi S., Séne M., Thévenot C., Causse M., de Vienne D., Leonardi A. (1999) From QTLs for enzyme activity to candidate genes in maize. J Exp Bot, 50: 1281-1288.

de Vienne D., Leonardi A.,  Damerval C., Zivy M. (1999) Genetics of proteome variation as a tool for QTL characterization: application to drought-stress responses in maize. J Exp Bot, 50: 303-309.

Riccardi F., Gazeau P., D. de Vienne D.,  Zivy M.(1998) Protein changes in response to progressive water deficit in maize. Quantitative variation and polypeptide identification. Plant Physiol 117: 1253-1263.

Touzet P., Riccardi F., Morin C., Damerval C., Huet J.C., Pernollet J.C., Zivy M., de Vienne D. (1996a) The maize two-dimensional gel protein database: towards an integrated genome analysis program. Theor Appl Genet, 93, 997-1005.

de Vienne D., Burstin J.,  Gerber S., Leonardi A.,  Le Guilloux M.,  Murigneux A., Beckert M., Bahrman N., Damerval C., Zivy M.(1996) Two-dimensional electrophoresis of proteins as a source of monogenic and codominant markers for population genetics and mapping the expressed genome. Heredity 76, 166-177.

Causse M., Rocher J.P., Henry A.M., Charcosset A., Prioul J.L., de Vienne D. (1995) Genetic dissection of the relationship between carbon metabolism and early growth in maize, with emphasis on key-enzyme loci. Molecular Breeding, 1, 259-272

Damerval C., Maurice A., Josse J.M., de Vienne D. (1994) Quantitative trait loci underlying gene product variation - a novel perspective for analyzing regulation of genome expression. Genetics, 138, 1251-1274.

Dirlewanger E., Isaac P.G., Ranade S., Belajouza M. Cousin R., de Vienne D. (1994). Restriction fragment length polymorphism analysis of loci associated with disease resistance genes and developmental traits in Pisum sativum L. Theor Appl Genet, 88, 17-27.

Damerval C., de Vienne D. (1993) Quantification of dominance for proteins pleiotropically affected by Opaque-2 in maize. Heredity 70 : 38-51.

Reviron MP, Vartanian N., Sallantin M., Huet JC., Pernollet JC., de Vienne D. (1992) Characterization of a novel protein induced by rapid or progressive drought and salinity in Brassica napus leaves. Plant Physiol, 100 : 1486-1493.

de Vienne D., Gottlieb L.D. (1990) Comparison of leaflets and tendrils in wildtype and homeotic mutant morphs of pea by two-dimensional electrophoresis of proteins. J Hered, 81 : 117-122.

de Vienne D., Leonardi A., Damerval C. (1988) Genetic aspects of variation of protein amount in Maize and Pea. Electrophoresis, 11 : 742-750.

Leonardi A., Damerval C., de Vienne D. (1988) Organ-specific variability and inheritance of maize proteins revealed by two- dimensional electrophoresis. Genet Res Camb, 52 : 97-103.

Gottlieb L.D., de Vienne D. (1988) Assessment of pleiotropic effects of a gene substitution in Pea by two-dimensional polyacrylamide gel electrophoresis. Genetics, 119 : 705-710.

Damerval C., Vartanian N., de Vienne D. (1988) Differential two-­dimensional protein patterns as related to tissue-specificity and water conditions in Brassica napus var. oleifera root system. Plant Physiol, 86 : 1304-1309.

Vartanian N., Damerval C., de Vienne D. (1987) Drought induced changes in protein patterns of Brassica napus var. oleifera roots. Plant Physiol, 84 : 989-992.

Leonardi A., Damerval C., de Vienne D. (1987) Inheritance of protein amounts: comparison of two-dimensional electrophoresis patterns of leaf sheaths of two maize lines (Zea mays L.) and their hybrids. Genet Res Camb, 50:1-5

Damerval C., Hebert Y., de Vienne D. (1987) Is the polymorphism of protein amounts related to phenotypic variability? A comparison of two-dimensional electrophoresis data with morphological traits in maize. Theor Appl Genet, 74 : 194-202.

Damerval C., Le Guilloux M., Blaisonneau J., de Vienne D. (1987) A simplification of Heukeshoven and Dernick's silver staining of proteins. Electrophoresis, 8 : 158-159.

Damerval C., de Vienne D., Zivy M., Thiellement H. (1986) Technical improvements in two-dimensional electrophoresis increase the level of genetic variation detected. Electrophoresis, 7 : 52- 54.

de Vienne D., Rodolphe F. (1985) Biochemical and genetic properties of oligomeric structures: a general approach. J Theor Biol, 116 : 527-568.

 

> Selected Books and book chapters

Fiévet J., de Vienne D. and Gallais A. (2011) Heterosis, Inbreeding depression and Hybrid varieties. In Heterosis Advances in Maize,  J.-L. Prioul, C. Thevenot, T. Molnar (Eds), SEB, London.

de Vienne D., Ed. (2003) Molecular markers in plant genetics and biotechnology. Science Publishers, Inc. Enfield (NH), USA, and Plymouth, UK, 235 p.

Limami A.M. de Vienne D. (2001) Natural genetic variability in nitrogen metabolism. In Plant Nitrogen, P. J. Lea & J.-F. Morot-Gaudry (Eds), Springer-INRA Editions, 407 p.

Rossignol J.-L., Berger R., Deutsch J., Fellous M., Lamour-Isnard C., Ozier-Kalogeropoulos O., Picard M., de Vienne D. (2000) Génétique – Gènes et génomes. Cours et questions de révision, Dunod Ed., Paris, 232 p.

de Vienne D., Damerval C., Leonardi A., Bost B., Piégu B., Dillmann C., and Zivy M. (2000) Genetics of the maize proteome. In "Genomes", J. P. Gustafson (Ed.), p. 123-139, Kluwer Academic / Plenum, New York.

de Vienne D., Leonardi A., Damerval C. (1992) Relationship between genetic expression and hybrid vigor in maize. In Reproductive Biology and Plant Breeding, Y. Dattée, C. Dumas, A. Gallais (Eds), p. 345-354, Springer Verlag.

de Vienne D. (1991) Molecular markers in quantitative genetics. In Plant Sciences today, Y. de Kouchkovsky (Ed.), p. 283-284, INRA Editions, Paris.