Team BIOMARQUEURS – Biomarkers of performances, adaptation and qualities

IN BRIEF

The BIOMARKERS team aims to understand the mechanisms that control the production efficiency of ruminants, their adaptive responses and the quality of their products, in order to identify specific biomarkers and design tools for phenotyping these production and product quality traits.

MORE PRECISELY

The research objectives of the BIOMARKERS team are to :

• Decipher the responses of ruminants to rearing practices or constraints (mainly nutritional), at the level of the animal and its products;
• Understand the metabolic and physiological mechanisms that control yield and quality (carcasses, meat, milk), tissue plasticity (muscle, mammary gland, adipose tissue, liver), nutrient partitioning and adaptive responses (mainly metabolic, neuroendocrine or inflammatory);
• Identify molecular and cellular indicators (biomarkers) of variability in tissue and product quality and production characteristics using bioinformatics and biostatistics approaches;
• Propose tools for quantifying these biomarkers and assessing product quality, ruminant performance and their capacity to adapt, as well as for quantifying the trade-offs between these components in order to manage the best trade-offs via breeding practices, for production efficiency.

The BIOMARKERS team conducts studies on ruminant target species (cattle, sheep, goats), model species (transgenic mice) and cell/tissue cultures. It uses genomic approaches (mainly transcriptomics, proteomics and microRNAs) and lipidomics to identify mechanisms and biomarkers. More traditional analytical methods are used to phenotype the nutritional qualities (lipids, fatty acids and peroxidation products) and sensory qualities (assessment panels) of meat and milk, and to study animal metabolism (hormones and metabolites in biological fluids). Bioinformatics data processing and the use of databases associated with prediction/modelling enable molecular phenotypes to be correlated with those of the animals.

Team leader : Muriel Bonnet

Biomarkers team scientists

Some team's projects

LipoMEC : first integrative biology program to better understand lipolysis in ruminants

Project co-funded by Apis Gene and ANR
UMRH project contact: Laurence Bernard

https://anr.fr/Projet-ANR-19-CE21-0010

Projet GenTORE – “GENomic management Tools to Optimize Resilience and Efficiency”
Project funded by European Union
UMRH project contact: Isabelle Cassar-Malek

https://www.gentore.eu/
 

Tripl'XL and Tripl'Scotch - A better understanding of the resilience of dairy cows and the performance of their cross-bred offspring to promote grass-fed farming

Project funded by Agence de l’eau Seine Normandie
UMRH project contact: Muriel Bonnet

https://www.web-agri.fr/herbe/article/172711/un-systeme-herbager-de-grande-ampleur-a-l-experimentation-dans-l-orne

https://uep.isc.inrae.fr/projets-de-recherche/tripl-xl

https://uep.isc.inrae.fr/actualites/avec-tripl-xl-vous-prendrez-bien-un-tripl-scotch

Meat@ppliproject - An application for measuring the fat content of beef using image analysis

Project funded by CASDAR
UMRH project contact: Muriel Bonnet

https://vimeo.com/571657120

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