Structure, Dynamics And Evolution Of The Genetic Networks Driving Yeast Adaptation To The Environment
Informations
- Funding country
France
- Acronym
- STRUDYEV
- URL
- -
- Start date
- 1/3/2011
- End date
- -
- Budget
- 327,550 EUR
Fundings
| Name | Role | Start | End | Amount |
|---|---|---|---|---|
| JCJC Jeunes chercheuses et jeunes chercheurs - 2011 | Grant | 1/3/2011 | - | 327,550 EUR |
Abstract
The global analysis of the genetic networks which control the cellular processes is a rapidly growing field. The project detailed below aims at using the adaptation of genomic expression to deleterious environmental changes in yeasts as a model to describe and understand the structure, the dynamic and the evolution of the regulatory networks. Our project can be summarized in three major tasks: the acquisition of accurate transcriptome expression data at different times and in different environmental conditions; the use of recent methods for the in silico modeling of the structure and the dynamic of genetic networks, and, finally, the experimental analysis of several yeast species, spanning an evolutionary range larger than that of the phylum of Chordates, combined with comparative functional genomics approaches to get an evolutionary perspective of gene networks. The main strengths of the project are: 1- a tight collaboration between the experimental and the in silico parts, 2- the use of cutting-edge technologies for the analysis of gene expression dynamics in several related species, 3- our experience in the field, attested by more than ten publications dealing with yeast genetics networks during the last five years and 4- in 2010 our team will join FRE3214 "microorganims genomics" (CNRS/UPMC), which aims at putting together people and skills from different disciplines and which will be a stimulating environment for our project to grow. We expect from this work better knowledge on the functioning, the evolution and the biodiversity of gene networks and accurate and efficient methodologies for the modeling and the analysis of these networks in microorganisms.