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Génétique Quantitative et Évolution - Le Moulon



Ingénieure de Recherche, INRAE

  • proteomics,
  • mass spectrometry,
  • integrative biology,
  • systems genetics,
  • quantitative genetics


01 69 15 68 06


  • Génétique Quantitative et Évolution - Le Moulon
  • Université Paris-Saclay, INRAE, CNRS, AgroParisTech
  • 12 route 128
  • 91190 Gif-sur-Yvette

Position and education

  • 2022-present: Scientist-in-charge of the [PAPPSO proteomics facility] (http://pappso.inrae.fr/en)

  • 2015-present: INRAE research engineer, PAPPSO, UMR GQE-Le Moulon, Gif-sur-Yvette, France

  • 2010-2015: Post-doctoral fellow, INRAE, UMR GQE-Le Moulon, Gif-sur-Yvette, France

    • “Analysis of heterosis for protein abundance under normal and drought conditions in sunflower” (PIA Sunrise)
    • “Genome wide association study for protein expression under normal and water deficit conditions in maize leaves” (PIA Amaizing)
    • “Analysis of heterosis for protein abundance in inter- and intra-specific yeast hybrids grown under grape must fermentation” (ANR HeterosYeast)
  • 2008-2010: Postdoctoral fellow, CIRAD, UMR Biologie et Génétique des Interactions Plante-Parasite, Montpellier, France

    • “Functional validation of the role of CIGR1 in the resistance of rice to blast (Magnaporthe oryzae)
  • 2004-2007: PhD student (MENRT fellowship), IGEPP (formely UMR Amélioration des Plantes et Biotechnologies Végétales), Rennes, France

    • Histological and transcriptomic analyses of the role of the Pch1 gene in the resistance of bread wheat to eyespot Oculimacula yallundae
  • 2004: Master of Science and Engineer degrees in Plants Genetics and Breeding, Agrocampus Ouest (formerly École Nationale Supérieure Agronomique de Rennes).

Activities of research and development

As plant geneticist and scientist-in-charge of the PAPPSO proteomics facility, I am developing high-throughput plant proteomics approaches to ease the use of proteomics in genetic studies that require the analysis of large cohort of samples.

Regarding my research activities, I am interested in understanding how living organisms respond and adapt to environmental changes. I focused on the identification of genes and molecular mechanisms responsible for the variation of adaptative traits, such as plant resistance to pathogenic fungi, yeasts ability to complete grape juice fermentation or drought tolerance in plants. During my PhD and my first post-doctoral fellowship, I addressed this issue by using functional approaches. Since I joined the UMR GQE-Le Moulon, I moved toward systems approaches based on the integration of multi-omics data to decipher the genotype/phenotype relationship. My current research activities are focused on the genetic control and plasticity of the molecular networks involved in the elaboration of ecophysiological traits related to drought tolerance in maize. This research takes place within the French investment for the future Amaizing program.

Teaching and training

  • Introduction to mass-spectrometry based proteomics (Licence 1 and Master 2 at Université Paris Saclay)
  • Proteomics data analysis with the MCQ package (PAPPSO training sessions)


  • Blein-Nicolas M. , Devijver E., Gallopin M., Perthame E.. (2024) Nonlinear network-based quantitative trait prediction from biological data. Journal of the Royal Statistical Society Series C: Applied Statistics, qlae012
  • Tarkowski Łukasz P., Clochard T., Blein-Nicolas M. , Zivy M., Baillau T., Abadie C., Morère-Le Paven MC., Limami AM., Tcherkez G., Montrichard F.. (2024) The nitrate transporter-sensor MtNPF6.8 regulates the branched chain amino acid/pantothenate metabolic pathway in barrel medic (Medicago truncatula Gaertn.) root tip. Plant Physiology and Biochemistry, (206) 108213
  • Chasseriaud L., Albertin W., Blein-Nicolas M. , Balliau T., Zivy M., Coulon J., Bely M.. (2023) Physical Contact between Torulaspora delbrueckii and Saccharomyces cerevisiae Alters Cell Growth and Molecular Interactions in Grape Must. Beverages, 3 (9) 81
  • Djabali Y., Rincent R., Martin ML., Blein-Nicolas M. . (2023) Plasticity QTLs specifically contribute to the genotype × water availability interaction in maize. Theor Appl Genet, 11 (136) 228
  • Djabali Yacine ., 2023-12-13, Exploitation des données multi-omiques pour élucider les bases génétiques et moléculaires de caractères complexes : une étude de génétique des systèmes de la réponse du maïs à la sécheresse, , Université Paris Saclay
  • Duruflé H., Balliau T., Blanchet N., Chaubet A., Duhnen A., Pouilly N., Blein-Nicolas M. , Mangin B., Maury P., Langlade NB., Zivy M.. (2023) Sunflower Hybrids and Inbred Lines Adopt Different Physiological Strategies and Proteome Responses to Cope with Water Deficit. Biomolecules, 7 (13) 1110
  • Jamet E., Esquerré-Tugayé MT., Gallardo-Guerrero K., Rolland N., Zivy M., Blein-Nicolas M. , Vincent D., Gontero B., Rajjou L.. (2023) Obituary: Dominique Job (1947-2022). Front. Plant Sci., (14) 1188766
  • Prunier G., Cherkaoui M., Lysiak A., Langella O., Blein-Nicolas M. , Lollier V., Benoist E., Jean G., Fertin G., Rogniaux H., Tessier D.. (2023) Fast alignment of mass spectra in large proteomics datasets, capturing dissimilarities arising from multiple complex modifications of peptides. BMC Bioinformatics, 1 (24) 421
  • Baudouin E., Puyaubert J., Meimoun P., Blein-Nicolas M. , Davanture M., Zivy M., Bailly C.. (2022) Dynamics of Protein Phosphorylation during Arabidopsis Seed Germination. International Journal of Molecular Sciences, 13 (23) 7059
  • Millán-Oropeza A., Blein-Nicolas M. , Monnet V., Zivy M., Henry C.. (2022) Comparison of Different Label-Free Techniques for the Semi-Absolute Quantification of Protein Abundance. Proteomes, 1 (10) 2
  • Plancade S., Berland M., Blein-Nicolas M. , Langella O., Bassignani A., Juste C.. (2022) A combined test for feature selection on sparse metaproteomics data—an alternative to missing value imputation. PeerJ, (10) e13525
  • Bassignani A., Plancade S., Berland M., Blein-Nicolas M. , Guillot A., Chevret D., Moritz C., Huet S., Rizkalla S., Clément K., Doré J., Langella O., Juste C.. (2021) Benefits of Iterative Searches of Large Databases to Interpret Large Human Gut Metaproteomic Data Sets. J. Proteome Res.,
  • Plancade S., Berland M., Blein-Nicolas M. , Langella O., Bassignani A., Juste C.. (2021) A combined test for feature selection on sparse metaproteomics data - alternative to missing value imputation. bioRxiv, 2021.06.22.449387
  • Urrutia M., Blein-Nicolas M. , Prigent S., Bernillon S., Deborde C., Balliau T., Maucourt M., Jacob D., Ballias P., Bénard C., Sellier H., Gibon Y., Giauffret C., Zivy M., Moing A.. (2021) Maize metabolome and proteome responses to controlled cold stress partly mimic early-sowing effects in the field and differ from those of Arabidopsis. Plant Cell Environ,
  • Belouah I., Bénard C., Denton A., Blein-Nicolas M. , Balliau T., Teyssier E., Gallusci P., Bouchez O., Usadel B., Zivy M., Gibon Y., Colombié S.. (2020) Transcriptomic and proteomic data in developing tomato fruit. Data in Brief, (28) 105015
  • Blein-Nicolas M. , Negro SS., Balliau T., Welcker C., Cabrera-Bosquet L., Nicolas SD., Charcosset A., Zivy M.. (2020) A systems genetics approach reveals environment-dependent associations between SNPs, protein coexpression, and drought-related traits in maize. Genome Res., 11 (30) 1593-1604
  • Belouah I., Nazaret C., Pétriacq P., Prigent S., Bénard C., Mengin V., Blein-Nicolas M. , Denton AK., Balliau T., Augé S., Bouchez O., Mazat JP., Stitt M., Usadel B., Zivy M., Beauvoit B., Gibon Y., Colombié S.. (2019) Modeling Protein Destiny in Developing Fruit. Plant Physiology, 3 (180) 1709-1724
  • Belouah I., Blein-Nicolas M. , Balliau T., Gibon Y., Zivy M., Colombié S.. (2019) Peptide filtering differently affects the performances of XIC-based quantification methods. J Proteomics, (193) 131-141
  • Henry C., Haller L., Blein-Nicolas M. , Zivy M., Canette A., Verbrugghe M., Mézange C., Boulay M., Gardan R., Samson S., Martin V., André-Leroux G., Monnet V.. (2019) Identification of Hanks-Type Kinase PknB-Specific Targets in the Streptococcus thermophilus Phosphoproteome. Front. Microbiol., (10) 1329
  • Balliau T., Blein-Nicolas M. , Zivy M.. (2018) Evaluation of Optimized Tube-Gel Methods of Sample Preparation for Large-Scale Plant Proteomics. Proteomes, 1 (6) 6
  • Langella O., Valot B., Balliau T., Blein-Nicolas M. , Bonhomme L., Zivy M.. (2017) X!TandemPipeline: A Tool to Manage Sequence Redundancy for Protein Inference and Phosphosite Identification. J. Proteome Res., 2 (16) 494-503
  • Millan-Oropeza A., Henry C., Blein-Nicolas M. , Aubert-Frambourg A., Moussa F., Bleton J., Virolle MJ.. (2017) Quantitative Proteomics Analysis Confirmed Oxidative Metabolism Predominates in Streptomyces coelicolor versus Glycolytic Metabolism in Streptomyces lividans. J. Proteome Res., 7 (16) 2597-2613
  • Blein-Nicolas M. , Zivy M.. (2016) Thousand and one ways to quantify and compare protein abundances in label-free bottom-up proteomics. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, 8 (1864) 883-895
  • 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
  • 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
  • Delteil A., Blein M., Faivre-Rampant O., Guellim A., Estevan J., Hirsch J., Bevitori R., Michel C., Morel JB.. (2012) Building a mutant resource for the study of disease resistance in rice reveals the pivotal role of several genes involved in defence: A mutant resource for disease resistance analysis in rice. Molecular Plant Pathology, 1 (13) 72-82
  • Lorieux M., Blein M., Lozano J., Bouniol M., Droc G., Diévart A., Périn C., Mieulet D., Lanau N., Bès M., Rouvière C., Gay C., Piffanelli P., Larmande P., Michel C., Barnola I., Biderre-Petit C., Sallaud C., Perez P., Bourgis F., Ghesquière A., Gantet P., Tohme J., Morel JB., Guiderdoni E.. (2012) In-depth molecular and phenotypic characterization in a rice insertion line library facilitates gene identification through reverse and forward genetics approaches: Characterization of a rice insertion library. Plant Biotechnology Journal, 5 (10) 555-568
  • Blein M., Levrel A., Lemoine J., Gautier V., Chevalier M., Barloy D.. (2009) Oculimacula yallundae lifestyle revisited: relationships between the timing of eyespot symptom appearance, the development of the pathogen and the responses of infected partially resistant wheat plants. Plant Pathology, 1 (58) 1-11
  • Cifuentes M., Blein M., Benavente E.. (2006) A cytomolecular approach to assess the potential of gene transfer from a crop (Triticum turgidum L.) to a wild relative (Aegilops geniculata Roth.). Theor Appl Genet, 4 (112) 657-664