Description du projet
Un nouveau cadre pour déchiffrer les interactions biomoléculaires
Les tentatives visant à améliorer les fonctions des microbiomes animal et végétal se sont révélées, dans une large mesure, infructueuses, car les interactions entre les processus biologiques de l’hôte et son microbiome demeurent largement méconnues. Une chose est certaine, les fonctions du microbiome peuvent être optimisées pour une production alimentaire durable. La question est de savoir comment. Dans cette optique, le projet FindingPheno, financé par l’UE, développera un cadre statistique global pour déchiffrer les interactions biomoléculaires entre hôte et microbiome. Plus particulièrement, il combinera des connaissances biologiques et des méthodes statistiques de pointe: modélisation causale structurelle, sélection de variables, réduction de la dimensionnalité et détection de caractéristiques. L’étape suivante consistera à appliquer le cadre à des études de cas issues de systèmes de production alimentaire réels. Le projet vise à démontrer l’utilité du cadre et à fournir des moyens pour une application rapide et facile de cette nouvelle approche.
Objectif
Animal and plant microbiome functions can be modulated, and thereby optimized, for sustainable food production. However, the outcome, i.e. the microbial response, can vary greatly depending on (e.g.)Animal and plant microbiome functions can be modulated, and thereby optimized, for sustainable food production. However, the outcome, i.e. the microbial response, can vary greatly depending on (e.g.) the genetic background and developmental stage of the host, and the farming environment. The interactions between the biological process of the host and their microbiome are still only superficially understood, even though microbial interventions have been used for years. This incomplete understanding means that new attempts to improve microbiome functions are both inefficient and costly, and unlikely to hit upon the optimal solutions. An approach that recognizes the intimate biological interactions between host genome and microbiome functions holds the potential to greatly reduce cost and improve the outcome.
To that end, FindingPheno will develop a holistic statistical framework to decipher biomolecular interactions between host and microbiome by combining biological knowledge and state-of-the-art statistical methods: structural causal modelling, variable selection, dimensionality reduction and feature detection. We will then apply the framework to case studies from actual food production systems, using a unique multi-omics data set from three biological systems – chicken, salmon and maize – derived from ongoing research projects. In addition, we demonstrate the utility of the framework to obtain biological insights from publicly available data sets from tomato and bees.
We expect to show how to improve the effectiveness of microbiome interventions in sustainable food production, and simultaneously, we will offer avenues for quick and easy application of this new approach to other relevant biotechnology-based industries, e.g. enzyme production and fermentation.
Champ scientifique
- agricultural sciencesagriculture, forestry, and fisheriesagriculturesustainable agriculture
- natural sciencesbiological sciencesbiological behavioural sciencesethologybiological interactions
- natural sciencesbiological sciencesgeneticsgenomes
- natural sciencesbiological sciencesmicrobiology
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsenzymes
Mots‑clés
Programme(s)
Régime de financement
RIA - Research and Innovation actionCoordinateur
1165 Kobenhavn
Danemark