My research focuses on the understanding and the modeling of the responses of grape berry quality to environments (light, temperature, water...) and nutrients (carbon, nitrogen...), in order to better understand the accumulation dynamics of primary (sugars and organic acids) and secondary (e.g. polyphenols) metabolites in grape berry, under changing environmental conditions. Integrative approaches combing ecophysiology, modeling, omics, and molecular analyses are applied to obtain holistic views of the studied system.

Research Areas

Fruit quality

Fruit developent and metabolism

Plant modelling


2006.3-2009.2   Ph.D.  Agriculture science    University of Avignon, France

2006.1-2008.12 Ph.D. Pomology      China Agricultural University, China

2003.9-2006.2   M.S.   Pomology      China Agricultural University, China

1999.9-2003.6   B.S.    Horticulture   Shandong Agricultural University, China


Work Experience

2019.4-present        Full Professor, Director of grape quality regulation laboratory, Institute of Botany, Chinese           Academy of Sciences, China

2015.3- 2019.3        PhD supervisor at Bordeaux University (ADT).

2015.2- 2019.3       First class of research fellow (CR1) in UMR 1287 Ecophysiology and Grape Functional Genomics (EGFV), INRA Bordeaux.

2010.3-2015.2         Second class of research fellow (CR2) in UMR 1287 Ecophysiology and Grape   Functional Genomics (EGFV), INRA Bordeaux.

2009.3- 2010.2    Post-doc in UMR1095 Génétique, Diversité et Ecophysiologie des Céréales (GDEC), INRA Clermont-Ferrand (superviser Dr. Pierre Martre).       

Teaching Experience

-Modeling approaches for analyzing metabolic regulation in plant. Lecture in Master 2 course 'Compartimentation cellulaire et régulations de voies métaboliques' for masters in 'Biologie et Biotechnologie des Plantes', at Université Bordeaux. (4 hours/year)

-Physiology of grape berry. Lecture in Master 2 course 'Fonctionnement intégré de la vigne et qualité des raisins: bases écophysiologiques et modélisation' for masters in Œnologie et Environnement Viti-Vinicole, Université Bordeaux. (2 hours/year)

-Practice (TP) in grapevine modeling. Module in Master 2 course 'Fonctionnement intégré de la vigne et qualité des raisins: bases écophysiologiques et modélisation' for masters in Œnologie et Environnement Viti-Vinicole, Université Bordeaux. (4 hours/year)

-Modeling approaches for understanding the regulation of grape quality. Lecture in Master 2 course 'Viticulture and environment' for masters in 'vintage' program, Università Cattolica del Sacro Cuore, Italy. (2 hours in 2013)




[1].         Wang Y, Lecourieux F, Zhang R, Dai Z, Lecourieux D, Li S, Liang Z (2020). Data comparison and software design to easily choose and apply CRISPR-based genome editing system in plant. Genomics, Proteomics & Bionformatics Journal; in press.

  [2].         Ren C, Guo Y, Kong J, Lecourieux F, Dai Z, Li S, Liang Z. 2020. Knockout of VvCCD8 gene in grapevine affects shoot branching. BMC Plant Biology 20 (1):47. doi:10.1186/s12870-020-2263-3.

  [3].         Suter B, Triolo R, Pernet D, Dai Z, Van Leeuwen C. 2019. Modeling stem water potential by separating the effects of soil water availability and climatic conditions on water status in grapevine (Vitis vinifera L.). Frontiers in Plant Science 10:1485, doi:10.3389/fpls.2019.01485

  [4].         Roch L, Dai Z, Gomès E, Bernillon S, Wang J, Gibon Y, Moing A. 2019. Fruit salad in the lab: Comparing botanical species to help deciphering fruit primary metabolism. Frontiers in Plant Science, 10:836, doi: 10.3389/fpls.2019.00836.

  [5].         Jing W, Julie D, Ghislaine H, Sabine G, Dai Z, Laurence G, Serge D, Philippe D, Cécile T, Philippe P. 2019. The effects of a moderate grape temperature increase on berry secondary metabolites. Oeno One 53, 2.

  [6].         Zhu J, Génard M, Poni S, Gambetta GA, Vivin P, Vercambre G, Trought MCT, Ollat N, Delrot S, Dai Z+. 2019. Modelling grape growth in relation to whole-plant carbon and water fluxes. Journal of Experimental Botany, 70, 2505-2521.

  [7].         Jiang J, Xi H, Dai Z, Lecourieux F, Yuan L, Liu X, Patra B, Wei Y, Li S, Wang L. 2018. VvWRKY8 represses stilbene synthase gene through direct interaction with VvMYB14 to control resveratrol biosynthesis in grapevine. Journal of o Botany, 70, 715-729.

  [8].         Beauvoit B, Belouah I, Bertin N, Cakpo CB, Colombié S, Dai Z, Gautier H, Génard M, Moing A, Roch L, Vercambre G, Gibon Y. 2018. Putting primary metabolism into perspective to obtain better fruits. Annals of Botany 122, 1-21.

  [9].         Noronha H, Silva A, Dai Z, Gallusci P, Rombolà AD, Delrot S, Gerós H. 2018. A molecular perspective on starch metabolism in woody tissues. Planta 248, 559-568.

[10].         Soubeyrand E, Colombié S, Beauvoit B, Dai Z, Cluzet S, Hilbert G, Renaud C, Maneta-Peyret L, Dieuaide M, Mérillon J-M, Gibon Y, Delrot S, Gomès E. 2018. Constraint-based modeling highlights cell energy, redox status and α-ketoglutarate availability as metabolic drivers for anthocyanin accumulation in grape cells under nitrogen limitation. Frontiers in Plant Science, 9:421. (doi: 10.3389/fpls.2018.00421).

[11].         Zhu J, Dai Z+, Vivin P, Gambetta GA, Henke M, Peccoux A, Ollat N, Delrot S. 2018. A 3-D functional-structural grapevine model that couples the dynamics of water transport with leaf gas exchanges Annals of Botany, 121:833-848 (doi: 10.1093/aob/mcx1141).

[12].         Peccoux A, Loveys B, Zhu J, Gambetta GA, Delrot S, Vivin P, Schultz HR, Ollat N+, Dai Z+. 2018. Dissecting the rootstock control of scion transpiration using model-assisted analyses in grapevine. Tree Physiology, 38, 1026-1040.

[13].         Poni S, Gatti M, Palliotti A, Dai Z, Duchêne E, Truong T-T, Ferrara G, Matarrese AMS, Gallotta A, Bellincontro A, Mencarelli F, Tombesi S. 2018. Grapevine quality: A multiple choice issue. Scientia Horticulturae, 234:445-462.

[14].         Gallusci P*+, Dai Z*+, Génard M, Gauffretau A, Leblanc-Fournier N, Richard-Molard C, Vile D, Brunel-Muguet S*+. 2017. Epigenetics for plant improvement: Current knowledge and modeling avenues. Trends in Plant Science 22, 610-623.

[15].         Guan L, Wu B, Hilbert G, Li S, Gomès E, Delrot S, Dai Z+. 2017. Cluster shading modifies amino acids in grape (Vitis vinifera L.) berries in a genotype- and tissue-dependent manner. Food Research International 98, 2-9.

[16].         Silva A, Noronha H, Dai Z, Delrot S, Gerós H. 2017. Low source–sink ratio reduces reserve starch in grapevine woody canes and modulates sugar transport and metabolism at transcriptional and enzyme activity levels. Planta 246, 525-535.

[17].         Vivin P, Lebon É, Dai Z, Duchêne E, Marguerit E, García de Cortázar-Atauri I, Zhu J, Simonneau T, van Leeuwen C, Delrot S, Ollat N. 2017. Combining ecophysiological models and genetic analysis: a promising way to dissect complex adaptive traits in grapevine. Oeno One 51, 181-189.

[18].         Cochetel N, Escudié F, Cookson SJ, Dai Z, Vivin P, Bert P-F, Muñoz MS, Delrot S, Klopp C, Ollat N, Lauvergeat V. 2017. Root transcriptomic responses of grafted grapevines to heterogeneous nitrogen availability depend on rootstock genotype. Journal of Experimental Botany 68, 4339-4355.

[19].         Dai Z+, Wu H, Baldazzi V, van Leeuwen C, Bertin N, Gautier H, Wu B, Duchêne E, Gomès E, Delrot S, Lescourret F, Génard M. 2016. Inter-species comparative analysis of components of soluble sugar concentration in fleshy fruits. Frontiers in Plant Science 7, 649.

[20].         Guan L*, Dai Z*+, Wu B-H, Wu J, Merlin I, Hilbert G, Renaud C, Gomès E, Edwards E, Li S-H, Delrot S. 2016. Anthocyanin biosynthesis is differentially regulated by light in the skin and flesh of white-fleshed and teinturier grape berries. Planta 243, 23-41.

[21].         Martínez-Lüscher J, Kizildeniz T, Vucetic V, Dai Z, Luedeling E, van Leeuwen C, Gomès E, Pascual I, Juan José I, Morales F, Delrot S. 2016. Sensitivity of grapevine phenology to water availability, temperature and CO2 concentration. Frontiers in Environmental Science 4, 48.

[22].         Dai Z*, Plessis A*, Vincent J, Duchateau N, Besson A, Dardevet M, Prodhomme D, Gibon Y, Hilbert G, Pailloux M, Ravel C, Martre P. 2015. Transcriptional and metabolic alternations rebalance wheat grain storage protein accumulation under variable nitrogen and sulfur supply. The Plant Journal 83, 326-343.

[23].         Bobeica N, Poni S, Hilbert G, Renaud C, Gomès E, Delrot S, Dai Z+. 2015. Differential responses of sugar, organic acids and anthocyanins to source-sink modulation in Cabernet Sauvignon and Sangiovese grapevines. Frontiers in Plant Science 6, 382.

[24].          Berdeja M, Nicolas P, Kappel C, Dai Z, Hilbert G, Peccoux A, Lafontaine M, Ollat N, Gomès E, Delrot S. 2015. Water limitation and rootstock genotype interact to alter grape berry metabolism through transcriptome reprogramming. Horticulture Research 2, 15012.

[25].         Su L, Dai Z, Li S, Xin H. 2015. A novel system for evaluating drought-cold tolerance of grapevines using chlorophyll fluorescence. BMC Plant Biology 15, 82.

[26].         Vincent J, Martre P, Gouriou B, Ravel C, Dai Z, Petit J-M, Pailloux M. 2015. RulNet: A Web-Oriented Platform for Regulatory Network Inference, Application to Wheat-Omics Data. PLoS ONE 10, e0127127.

[27].         Dai ZW+, Meddar M, Renaud C, Merlin I, Hilbert G, Delrot S, Gomès E. 2014. Long-term in vitro culture of grape berries and its application to assess the effects of sugar supply on anthocyanin accumulation. Journal of Experimental Botany 65, 4665-4677.

[28].         Prudent M*, Dai ZW*, Génard M, Bertin N, Causse M, Vivin P. 2014. Resource competition modulates the seed number-fruit size relationship in a genoty pedependent manner: a modeling approach in grape and tomato. Ecological Modelling, 290, 54-64, doi: 10.1016/j.ecolmodel.2013.10.023

[29].         Berdeja M, Hilbert G, Dai ZW, Lafontaine M, Stoll M, Schultz HR, Delrot S. 2014. Effect of water stress and rootstock genotype on Pinot noir berry composition. Australian Journal of Grape and Wine Research, 20, 409-421.

[30].         Guan L, Li J-H, Fan P-G, Li S-H, Fang J-B, Dai Z-W, Delrot S, Wang L-J, Wu B-H. 2014. Regulation of anthocyanin biosynthesis in tissues of a teinturier grape cultivar under sunlight exclusion. American Journal of Enology and Viticulture, 65, 363-374.

[31].         Kuhn N, Guan L, Dai ZW, Wu B-H, Lauvergeat V, Gomès E, Li S-H, Godoy F, Arce-Johnson P, Delrot S. 2014. Berry ripening: recently heard through the grapevine. Journal of Experimental Botany 65, 4543-4559.

[32].         Xi H, Ma L, Liu G, Wang N, Wang J, Wang L, Dai Z, Li S, Wang L. 2014. Transcriptomic analysis of grape (Vitis vinifera L.) leaves after exposure to ultraviolet C irradiation. PLoS ONE 9, e113772.

[33].         Dai ZW, Léon C, Feil R, Lunn JE, Delrot S, Gomès E. 2013. Metabolic profiling reveals coordinated switches in primary carbohydrate metabolism in grape berry (Vitis vinifera L.), a non-climacteric fleshy fruit. Journal of Experimental Botany 64, 1345-1355.

[34].         Vincent J, Dai Z, Ravel C, Choulet F, Mouzeyar S, Bouzidi MF, Agier M, Martre P. 2013. dbWFA: a web-based database for functional annotation of Triticum aestivum transcripts. Database 2013.

[35].         Liu G-T, Wang J-F, Cramer G, Dai ZW, Duan W, Xu H-G, Wu B-H, Fan P-G, Wang L-J, Li S-H. 2012. Transcriptomic analysis of grape (Vitis vinifera L.) leaves during and after recovery from heat stress. BMC Plant Biology 12, 174.

[36].         Dai ZW, Ollat N, Gomès E, Decroocq S, Tandonnet J-P, Bordenave L, Pieri P, Hilbert G, Kappel C, van Leeuwen C, Vivin P, Delrot S. 2011. Ecophysiological, genetic, and molecular causes of variation in grape berry weight and composition: a review. American Journal of Enology and Viticulture 62, 413-425.

[37].         Dai ZW, Vivin P, Barrieu F, Ollat N, Delrot S. 2010. Physiological and modelling approaches to understand water and carbon fluxes during grape berry growth and quality development: a review. Australian Journal of Grape and Wine Research 16, 70-85.

[38].         Dai ZW, Génard M, Li SH, Vivin P. 2009. Analyzing the functional association among seed traits, berry growth and chemical composition in Cabernet-Sauvignon berry (Vitis vinifera L.) using a mathematical growth function. Journal International des Sciences de la Vigne et du Vin 43, 35-44.

[39].         Dai ZW, Vivin P, Robert T, Milin S, Li SH, Génard M. 2009. Model-based analysis of sugar accumulation in response to source-sink ratio and water supply in grape (Vitis vinifera) berries. Functional Plant Biology 36, 527-540.

[40].         Yuan JH*, Dai ZW*, Zhao JY, Li SH. 2009. Distribution of newly fixed 14C-photoassimilate under deficit irrigation and half-root stress in peach trees. Plant Science 177, 691-697. (co-first author)

[41].         Zhao JY, Dai ZW, Li SH, Kong Y. 2008. Artificially-induced leaf nitrate accumulation affects photosynthesis in micropropagated apply plants with different water supply. Journal of Horticultural Science & Biotechnology 83, 435-440.

[42].         Dai ZW, Wang LJ, Zhao JY, Fan PG, Li SH. 2007. Effect and after-effect of water stress on the distribution of newly-fixed 14C-photoassimilate in micropropagated apple plants. Environmental and Experimental Botany 60, 484-494.

[43].         Zhao JY, Wang LJ, Fan PG, Dai ZW, Li SH. 2006. Effect of half and whole root drying on photosynthesis, nitrate concentration, and nitrate reductase activity in roots and leaves of micropropagated apple plants. Journal of the American Society for Horticultural Science 131, 709-715.



刘莉  硕士研究生  085238-生物工程  

赵燕  硕士研究生  071009-细胞生物学  

仝倩  博士研究生  071008-发育生物学