Offre de thèse UMR GABI-GiBBS

Offre de thèse "Structure spatiale génétique et épigénétique de la population des races locales de poulets."

Financé par le projet européen H2020 GERONIMO, le projet de thèse propose d'étudier la structure génétique et épigénétique spatiale d'au moins 16 races locales européennes de poulets et leurs déterminants.

Genetic diversity is crucial for populations to adapt to various environments. These adaptive capacities are of major importance in the light of the ongoing climate change that will drastically
affect the environmental conditions, influencing biotic (feed, diseases and pathogens distribution) and abiotic components (temperature, rainfall…). Livestock, in particular, are likely to suffer from these issues and numerous studies are ongoing to improve animal adaptation to harsher environmental conditions. In this context, local chicken breeds appeared to be a valuable option to consider, as they represent a large reservoir of genetic diversity valuable for adaptation, particularly in local breeds raised in harsh production environments over a long period of time presenting characteristics that enable them to cope with these conditions. The study of their genetic diversity and its links with environmental conditions can give some clues for the future challenges that breeding should meet to cope with climate change and set the necessary agroecological transition.

In this context, we propose to study the spatial genetic and epigenetic structure of at least 16 European local chicken breeds and the determinants of their adaptation to various environments. We will focus on both, 1) very localized breeds (ie found in a single restricted area) along a large environmental gradient in terms of climatic conditions raised in free-range conditions, and 2) more cosmopolitan breeds raised in contrasted conditions (raised free-range but bred in-house vs full free-range). This study is innovative since it will both consider the genetic and the epigenetic features of adaptation to understand the link between the environment, the genetic composition of the breed and the methylation profile. This last feature will be investigated with a recently developed approach, GBS-MeDIP, allowing for precise and high throughput epigenotyping (Rezaei et al., 2022). Genotyping will result from both already existing data (Restoux et al., 2022) and newly sampled and genotyped individuals. Links between all compartments will be investigated using classical landscape genetics tools and tailored multivariate approaches like redundancy analysis (Capblancq et al., 2021).

We will aim at functionally characterize local chicken breeds by understanding how environment shape both genetic and epigenetic diversity and how these interact with each other. This may be of particular interest in defining the appropriate unit for future conservation, in particular if we found for example some genotypes more prone to change their methylation profiles than others, giving clues about their potential plasticity. On the other hand, if we found distinct methylation profiles in a single breed (ie with a common genetic background), it can be useful to consider this within-breed level of diversity for future conservation purpose (Xia et al., 2016).

Geronimo European H2020 project -
French National Association for Research and Technology
This thesis will be conducted in collaboration between INRAE (French National Institute for Research on Agriculture and Environment) and SYSAAF (French National Association for Aviculture and Aquaculture).

Skills: Population and landscape genomics; epigenetics; data management; bioinformatics; Statistics


  • Gwendal RESTOUX (INRAE), ;
  • Tatiana ZERJAL (INRAE), ;
  • Romuald ROUGER (SYSAAF),;

Start date: From February 2023 but not after July 2023
Duration: 36 months
INRAE, Université Paris-Saclay, AgroParisTech
GABI lab (Animal Genetics and Integrative Biology)
GiBBS team (Genomics, Biodiversity, Bioinformatics and Statistics),
Domaine de Vilvert
78350 Jouy-en-Josas

Date de modification : 05 octobre 2023 | Date de création : 25 avril 2023 | Rédaction : INRAE - Edition P. Huan