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Research topics

The RAMDAM team (Recombination of Alleles in Meiosis: Determinism, Applications, Modeling) works on three topics: 1/ high-throughput linkage mapping, 2/ meiosis and recombination, and 3/ modeling, integrative biology, and computational biology.

1. High-throughput linkage mapping

We have developed software to exploit high-density genotyping data. Beyond their use for mapping, we also study how these data can be used to infer structural variants such as copy-number variants, inversions, or translocations.

2. Meiosis and recombination

This research theme is carried out in close collaboration with the group "Meiosis and Recombination" at INRA Versailles (Christine Mercier, Mathilde Grelon, Éric Jenczewski), as well as Denise Zickler and Eric Espagne (I2BC Orsay).

We aim at characterizing the number of crossovers produced in meiosis, as well as the way these crossovers are distributed along chromosomes, with the goal of better understanding the underlying biological mechanisms.

With the PhD of Xavier Raffoux, we have developed a high-throughput method to measure recombination rate and interference in the yeast S. cerevisiae, and characterized the variability of recombination rate in that species, as well as the respective contributions of CIS and TRANS determinants on this variability.

Moreover, using experimental evolution, we will try to identify QTLs responsible for such variation, and investigate the evolutionary consequences of modified recombination on adaptation.

In another project, (PhD of Elise Tourrette), we have sudied by modeling the utility of increasing recombination to speed-up genetic progress in directional recurrent selection, with a focus on plant breeding applications.

shcéma modélisation de l'interfférence

3. Modeling, integrative biology, and computational biology

Using quantitative approaches: mathematical, statistical, simulation-based, we study how intracellular biological networks work and evolve (gene regulatory networks, metabolic networks, signaling networks).