Lactococcus lactis est une bactérie lactique couramment utilisée dans l’industrie laitière. Elle assure en tant que ferment des fonctions technologiques multiples qui impactent la flaveur et la texture finale des produits. Cependant, la diversité fonctionnelle constatée au sein des levains de cette espèce impose de mettre en place un processus de sélections des souches. Ces travaux ont pour objectif d’identifier les déterminants de la spécificité organoleptique dite « crème » de la souche industrielle L. lactis ssp. lactis. Dans un premier temps, un diagnostic macro-cinétique de l’activité de ce ferment a été réalisé en lait pour évaluer l’impact sur la physiologie cellulaire (l’acidification, le stress oxydatif, et la thermisation différentielle du lait). Définir la singularité de notre souche d’intérêt nécessite d’évaluer la diversité fonctionnelle de levains laitiers de L. lactis ssp. lactis. Cette démarche s’est appuyée sur une approche de biologie intégrative du génotype au phénotype. Pour réduire le temps d’expérimentation, une sélection des variables discriminantes à été conduite. L’un de ses composés clef de cette typicité a fait l’objet d’une étude approfondie afin de tester les différents paramètres pouvant influencer sa synthèse. La dernière partie, plus applicative, s’est articulée sur la modélisation de la signature en fonction de quatre facteurs industriels (matière grasse, sèche, oxygénation et température) par utilisation de la méthodologie des surfaces de réponse. / The lactic acid bacterium Lactococcus lactis is widely used in dairy industry. Used as a starter, L. lactis subsp. lactis is in charge of many functional characteristics which determine the final texture and flavour of fermented products. However, the phenotypic diversity observed within the species requires strain selection development. This PhD aims at identifying the determinants of the creamy sensory specificity of the industrial strain L. lactis subsp. lactis. Firstly, a diagnosis of macro-kinetic activity of ND5F was carried out to assess the impact on cellular physiology of three environmental parameters (acidification, oxidative stress, and milk heat treatments). In order to assess the uniqueness of our strain of interest, a system biology approach from genotype to phenotype was implemented to study the functional diversity of L. lactis subsp. lactis starters. A group of nine strains representative of the genetic diversity of this subpopulation was made up. 82 variables selected as important dairy features; including physiological descriptors, production of metabolites and volatile organic compounds (VOCs); were monitored. This study demonstrated the phenotypic uniqueness of each of these genetically closely related strains, allowing strain discrimination in dairy products. To reduce the time-consuming experimentation, we developed a method of variable selection. Twenty VOCs were therefore identified as major phenotypic determinants of this diversity. They define four robust stain clusters depending on their metabolic orientations: lipolysis, proteolysis, glycolysis and unexpressed. Inclusion of genotypic diversity in addition to phenotypic characters led to adjust the functional classification by integrating strain unexpressed genotypic potentialities. Comparative proteomics analysis in milk identified protein markers of this specificity. After selecting a subset of forty-six proteins the three levels (genotype, phenotype and proteomics) involved in this diversity expression were integrated to provide a predictive classification of starter diversity.The Integration of our strain to this model enabled the identification of fourteen phenotypic determinants and seven proteins to explain ND5F specificity. The pentane-2,3-dione, a key aromatic compounds of this typicity was subjected to a comprehensive analysis to point out the different factors that may influence its synthesis. On a more applied aspect, the last part was focused on the signature modelling based on four industrial factors (milk fat and total solid level, oxygen and temperature) using the response surface methodology. It enabled to enhance the “creamy” organoleptic characteristics of the fermented products.
Identifer | oai:union.ndltd.org:theses.fr/2013ISAT0052 |
Date | 16 December 2013 |
Creators | Dhaisne, Amandine |
Contributors | Toulouse, INSA, Loubière, Pascal |
Source Sets | Dépôt national des thèses électroniques françaises |
Language | French |
Detected Language | English |
Type | Electronic Thesis or Dissertation, Text |
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