Integrating carbon systems
Reference Number
BBS/E/C/00005201
Title
Integrating carbon systems
Status
Completed
Energy Categories
Renewable Energy Sources(Bio-Energy, Applications for heat and electricity)
Renewable Energy Sources(Bio-Energy, Other bio-energy)
Renewable Energy Sources(Bio-Energy, Other bio-energy)
Research Types
Basic and strategic applied research
Science and Technology Fields
BIOLOGICAL AND AGRICULTURAL SCIENCES (Biological Sciences)
UKERC Cross Cutting Characterisation
Not Cross-cutting
Principal Investigator
Prof C Rawlings
Computational and Systems Biology
Rothamsted Research
Computational and Systems Biology
Rothamsted Research
Award Type
Institute Project
Funding Source
BBSRC
Start Date
01 April 2012
End Date
31 March 2017
Duration
60 months
Total Grant Value
£639,168
Industrial Sectors
Transport Systems and Vehicles
Region
East of England
Programme
Investigators
Principal Investigator
Prof C Rawlings, Computational and Systems Biology, Rothamsted Research
Web Site
Objectives
Objectives not supplied
Abstract
This project is part of the Cropping Carbon Institute Strategic Programme that aims to build a whole systems understanding of carbon allocation both above- and below-ground to provide the knowledge for achieving an optimal balance between harvestable and sequestered carbon in perennial cropping systems. This project provides underpinning through pursuit of a gene-led approach to identify key QTL for variety improvement and through use of statistics, bioinformatics and process-based modelling to integrate, interpret and instruct the experimental programme.
There are 6 Work Packages (WP).
- - We will integrate 'omics' and primary trait data into a discovery pipeline to deliver new functional candidate genes, gene interaction networks and pathways based on methods developed within Ondex (WP3.1).
- - We will incorporate analysis of the metabolome, transcriptome and genetic data in willow using our emerging technologies for systems-based analysis of QTL intervals and by comparing mQTL positions with QTL positions currently available or newly mapped (WP3.2).
- - Both transgenic and genetic approaches will be used to validate candidate genes (WP3.3).
- - We aim to tackle challenges of integrating process-based and statistical models to capture the interaction of plant and environmental processes and to incorporate new system components and advanced statistics. Using willow we will: - Synthesise the data of primary and secondary metabolites in different compartments of woody plants and develop new conceptual models (WP 3.4).
- - Dissect the carbon allocation process by including physiological control mechanisms in the dynamics of morphological development (primary traits) and quantitatively model the environmental control mechanisms for shifts in carbon forms and allocation between plant organs (sink-source) and the soil (WP3.5).
- - Use a Bayesian approach to calibrate model components, using 'omics' and plant and soil data from a wide variety of sources (WP3.6).
Data
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Projects
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Publications
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Added to Database
14/04/14
