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Promoting multidisciplinary research on key issues

The scientific approach of SAPS is aimed at how animals adapt to environmental or farming system variations.


Building phenotypes: what is the role of the pre and perinatal environment?

The objective is to study the impact during development of maternal nutrition, the physicochemical and emotional environment as well as farming conditions on growth, health, fertility and progeniture.

This project combines multi-scale phenotype measurements and is aimed at understanding the key mechanisms implicated through epigenetic, metabolic and transcriptomic analyses.

. © INRA

Selection on tomorrow's farms: How can we make selection more efficient for a sustainable production, by improving the prediction of results and preserving genetic diversity?

. © INRA, M. Tixier-Boichard
© INRA, M. Tixier-Boichard
This project is based on exploring genome variability and its transmission. We hope to improve our understanding of the interactions between genetic heritage and the environment, and in particular how epigenetic mechanisms control gene expression. Troupeau de vaches au pré. © INRA, D. Boichard
© INRA, D. Boichard

New strategies for animal health and public health: how do we improve immune competency, vaccine response and diagnostic methods?

SAPS Stage Master 2. © INRA
These studies are aimed at improving immune competency through studies on the role of the gut microbiota (microbiomes and pathobiomes), exploring how organisms transgress species barriers and research on new vaccines and diagnostic methods and screening.

Phenotype prediction and adaptation responses: big data and multi-scale modeling

Analyse Factorielle Multiple. Représentation intégrée de l'influence de 9 groupes de variables sur des races et des systèmes d'élevage porcins.. © INRA, F. Jaffrezic
© INRA, F. Jaffrezic

This project is base on systems biology and modeling approaches.

Current research has created alot of heterogeneous important multi-scale data (phentoypes, genotypes, transcripts, proteins, metabolites, etc) that needs to be integrated to understand interactions and make progress in our understanding of complex systems biology that make up animals.

Amongst the objectives: improving the prediction of adaptation responses in order to favor the emergence of new approaches for an improved management of animals in their environment and to promote interdisciplinary communication (mathematics and biology, animal sciences and ecology).

Keywords: PROJECTS