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Accueil > Offres d’emploi, de thèse et de stage > PhD offer | Deciphering genome skimming data over a broad taxonomic scale (the PhyloAlps data) to study the dynamic of the organelle genome evoluNon




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PhD offer | Deciphering genome skimming data over a broad taxonomic scale (the PhyloAlps data) to study the dynamic of the organelle genome evoluNon

par Webmaster - 17 février 2016 ( dernière mise à jour : 8 mars 2016 )

To apply, contact eric.coissac@ujf-grenoble.fr before March 20th 2016

This PhD project propose to use an unprecedented data set of several thousands of data of low coverage shotgun genome sequencing to study the evolutionary dynamics of organelle genome in plants. Interesting avenues for research could be explored by the candidate. Among them, the genetic transfers between the nuclear, the mitochondrial and the chloroplastic genomes and the impact of the repeated sequences on the dynamic of evolution are particularly promising. A third important topic that could be explored by the candidate is conducting a formal test of whether circular topology classically considered for plants’ chloroplast genomes can be considered true for all plant clades. The results will be put in relation with the phylogeny and the ecological characteristics of plant species considered in order to test whether some of the observed genomic properties can be associated to specific clades and to particular environments and species life-history traits.

Data sources :
The PhD project will be mainly based on the PhyloAlps sequencing initiative, which is currently producing a large dataset of genomic data constituted by a low coverage genome sequencing for each species of plant belonging the european Alpine Flora. This initiative will yield about 6,000 sequenced specimens, which can used to obtain the complete sequence of the organelle genome for each species sequenced. This project will also be within a framework of international collaborations including the Nowegian Barcode of Life (NorBOL) initiative that will provide similar data for about 2,000 additional specimens belonging the arctic flora.







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