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24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

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Postdoc position Multitrait genetic analyses

A 15 months Post doctoral position on Multitrait genetic analyses for biotic interaction studies in oilseed rape is available at IGEPP, Rennes, France, starting from October 2020.

IGEPP, is a joint research unit between INRAE, AGROCAMPUS OUEST and the University of Rennes 1. The objectives of IGEPP are to describe, understand and predict the functioning of plants, their associated organisms and the agroecosystems, in order to contribute to the development of innovative systems for plant production and plant protection, against biotic and abiotic stresses, while maintaining biodiversity and health of agroecosystems.

Within the team “Resistance and Adaptation”, a group is focused on complex biotic interaction studies, especially on plant-associated microbial communities (microbiota) that have a tremendous and yet untapped potential to improve plant resilience to abiotic and biotic stresses and, ultimately, crop yield. More specifically, microbiota diversity and composition can have a profound effect on stress tolerance, plant health, and pest/pathogen control. The knowledge of plant genetic factors driving plant-microbiota recruitment would help to understand these complex interactions and design new breeding schemes and plant ideotypes adapted to agro-ecological practices.

In that context, a Plant2Pro project (Coord. C. Mougel) aims at assessing how Brassica host genotype diversity influences the structure of root associated microbial communities and identifying plant genetic factors driving plant-microbiota recruitment. It was joined onto another project (Coord. A. Gravot and A. Bouchereau) using targeted and untargeted metabolomics set up to assess the leaf and root associated metabolite diversity within the same Brassica panel, especially the diversity of specialized metabolites that may contribute to defenses against biotic stresses and may affect/be affected by the microbial communities.


In relation with these two projects, we are offering a 15-month postdoc position to develop quantitative genetics analyses in order to identify plant genetic factors guiding the composition of microbial communities and controlling the content in some key metabolites.

You will:

1) develop methodological approaches (single trait and multi traits approaches) to perform Genome Wide Association Studies (GWAS) suited for the integration of multi ‘omic data including the composition of the root associated microbial communities and metabolite contents obtained on a panel of oilseed rape varieties.

2) perform GWAS on the composition of microbial (fungal and bacterial) communities and on metabolite content obtained from the targeted (mainly glucosinolates and phenolic compounds) and untargeted metabolomic analyses.

3) study the relationships between the genetic factors controlling the different traits to identify key genetic factors that could be good candidates for further studies.

References associated with this work:

Lebreton L., Guillerm-Erckelboudt A. Y., Gazengel K., Linglin J., Ourry M., Glory P., Sarniguet A., Daval S., Manzanares-Dauleux M. J. & Mougel C. (2019). Temporal dynamics of bacterial and fungal communities during the infection of Brassica rapa roots by the protist Plasmodiophora brassicae. PLoS ONE, 14(2), e0204195. 

Daval S., Gazengel K., Belcour A., Linglin J., Guillerm-Erckelboudt A. Y., Sarniguet A., Manzanares-Dauleux M. J., Lebreton L. & Mougel C. (2020). Soil microbiota influences clubroot disease by modulating Plasmodiophora brassicae and Brassica napus transcriptomes. Microbial Biotechnology, on line.

Wagner G., Laperche A., Lariagon C., Marnet N., Renault D., Guitton Y., Bouchereau A., Delourme R., Manzanares-Dauleux M. J. & Gravot A. (2019). Resolution of quantitative resistance to clubroot into QTL-specific metabolic modules. Journal of Experimental Botany, erz265.


Highly motivated candidates with a PhD degree and having a strong background in quantitative genetics and statistics are encouraged to apply. Previous experience with handling and analyzing high-throughput metagenomic data is highly desirable. The candidates should also have good communication skills evidenced by scientific publications and oral communications in conferences. Ability to work in a team environment is required.

Gross salary will be 2300-2600 euros according to the experience


To apply for the position, please combine cover letter, CV, brief summary of previous research experience (max 2 pages) and names and contact information of three referees in one PDF file and send it to

The closing date for applications will be 15th September 2020.