Mots-Clés

Génomique structurale - recombinaison - machine learning

Description

In meiotic recombination, crossing overs (CO) do not occur randomly along chromosomes.  The laws that control CO location are still poorly understood, although many studies have been devoted to them. The question we wish to answer – using rice, Oryza sativa L., as a model – in this project is:

« does fine knowledge of the structural differences between two genomes make it possible to accurately predict the probability of occurrence of recombination (or CO) events in the meiosis of the F1 hybrid of these two genomes? »

To answer this question, the postdoc fellow will be involved in all or part of the following activities: (1) develop a method for the automatic identification and classification of the set of structural variants (SV) between two distant genomes, (2) estimate local recombination in a population of 2,000 F2 individuals descended from an F1 hybrid between the distant genomes, (3) establish rules of causality between SV and local recombination, using machine learning methods, and (4) establish a predictive model of recombination in a hybrid as a function of the genomic sequence of the parents of the hybrid.

All the resources – crosses, DNAs, sequences – necessary to the project have already been produced. 

The DIADE research Unit at IRD has a strong background and many collaborations – both national and international – in the field of genomics and bioinformatics. Montpellier offers a very complete scientific environment in these research fields.