| Grant number: | 08/52146-0 |
| Support Opportunities: | Program for Research on Bioenergy (BIOEN) - Thematic Grants |
| Start date: | November 01, 2008 |
| End date: | October 31, 2015 |
| Field of knowledge: | Biological Sciences - Biochemistry - Molecular Biology |
| Agreement: | FAPEMIG |
| Principal Investigator: | Glaucia Mendes Souza |
| Grantee: | Glaucia Mendes Souza |
| Host Institution: | Instituto de Química (IQ). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
| Associated scholarship(s): | 13/13659-0 - Identification of sugarcane gene networks and active genome regions associated to drought,
BP.DR 13/23048-9 - Functional analysis of sugarcane promoters and their allelic variation, BP.PD 12/12203-0 - Functional characterization of ScPetC sugar cane gene in transgenic tobacco plants, BP.MS |
Abstract
We aim to study signaling and regulatory networks in sugarcane and to develop tools for a systems biology approach in this grass. As a starting point we intend to characterize three agronomical traits of interest: drought, brix and lignin content. We will study gene categories with a well known regulatory role (Transcription Factors, Protein Kinases and Phosphatases), conduct studies on the Transcriptome, produce transgenics, develop a database and computacional tools to integrate the several levels of information and we will initiate the whole genome sequencing of a Brazilian sugarcane cultivar. In parallel, we intend to implement ChIP-Seq technology in sugarcane, to identify TF targets and gene promoters. The results will have multiple direct consequences on breeding programs that frequently select for CREs and TF changes in search for genotypes better adapted to the environment and with increased agronomical performance. PKs activate signaling cascades in response to environmental stimuli and our studies point to a predominant role of PKs in the regulation of sucrose content and drought responses. To identify new genes associated to brix, drought and lignin content we will characterize the transcriptome of genotypes and cultivars that contrast for these traits using olinonucleotide arrays. Genes of interest will be functionally evaluated by generating transgenics altered for their expression. To integrate the immense amount of public data and that generated by this project a robust computational infrastructure and database will be developed. The SUCEST-FUN database will integrate the SUCEST sequences, promoters, CREs, expression data, agronomical, physiological and biochemical characterization of sugarcane cultivars. We will also participate in the development of the GRASSIUS database to establish sugarcane, rice, maize and sorghum regulatory networks. (AU)
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