Descripción del proyecto
Un nuevo marco para dilucidar las interacciones biomoleculares
Los esfuerzos para mejorar las funciones del microbioma de animales y plantas suelen fracasar, ya que las interacciones entre el proceso biológico del hospedador y su microbioma solo se conocen superficialmente. Con todo, se pueden optimizar las funciones del microbioma para lograr una producción alimentaria sostenible. La pregunta es cómo. En este sentido, en el proyecto FindingPheno, financiado con fondos europeos, se desarrollará un marco estadístico integral para dilucidar las interacciones biomoleculares entre el hospedador y su microbioma. En concreto, se combinarán conocimientos biológicos y métodos estadísticos de última generación, a saber: modelización causal estructural, selección de variables, reducción de la dimensionalidad y detección de características. El siguiente paso consistirá en emplear el marco en estudios de casos de sistemas reales de producción de alimentos. El objetivo es demostrar la utilidad del marco y proporcionar vías para un uso rápido y sencillo de este método.
Objetivo
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.
Ámbito científico
- agricultural sciencesagriculture, forestry, and fisheriesagriculturesustainable agriculture
- natural sciencesbiological sciencesbiological behavioural sciencesethologybiological interactions
- natural sciencesbiological sciencesgeneticsgenomes
- natural sciencesbiological sciencesmicrobiology
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsenzymes
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-NMBP-TR-IND-2020-twostage
Régimen de financiación
RIA - Research and Innovation actionCoordinador
1165 Kobenhavn
Dinamarca