Rumen microbes orchestrate,viasyntrophic interactions, the anaerobic degradation of plant polysaccharides which allows animals to harvest nutrients that are otherwise inaccessible. On the other hand, the rumen microbial metabolism contributes to the environmental impact of agriculture by releasing to the environment methane (a by-product of microbial fibre degradation). Manipulating the rumen microbiota has emerged as a potential strategy for enhancing sustainable livestock productivity. However, existing attempts have found limited success as a consequence of the rumen ecosystem resilience and lack of a detailed understanding of the ecosystem dynamics. This PhD project aims at enhancing the system-level understanding of the rumen ecosystem functioning by undertaking a detailed -omic characterisation of microbial metabolism. Microbial interactions will be studiedin vitrowith key rumen microbes within minimal consortia. Mathematical modelling projects of the rumen microbiome will run in parallel of the PhD. Together, experiments and mathematical models will provide a solid bedrock for the further development of a modelling framework describing the dynamic interplay of the ruminant holobiont (animal-microbiota), the diet and the environment.
The PhD thesis has been built as a collaboration project between three Inra teams (MEDIS, UMRH, MoSAR) and the industrial partner Lallemand Animal Nutrition. The PhD is funded by Inra and Lallemand. The PhD candidate will benefit from an interdisciplinary team that participates in different international projects of the rumen microbiomeviaa strong collaboration network (e.g.Rumen Microbial Genomics Network.)Master in microbiology, Engineer in biotechnology. The candidate should have more than 12/20 in the marks of the Master and be ranked in the first half of Master students.
- Master in microbiology, Engineer in biotechnology. The candidate should have more than 12/20 in the marks of the Master and be ranked in the first half of Master students
- Desired knowledge: Microbiology, omics, statistic.
- Experience in cultivation of microbes. Experience in mathematical modelling will be a plus
- Training and skills required: Excellent communication skills to interact in an interdisciplinary environment involving microbiologists, animal scientists and modeller
Send motivation letter, CV, and the name of two scientific references to Evelyne Forano, Milka Popova et Rafael Muñoz-Tamayo.
To apply for this job please visit jobs.inra.fr.