The tool will form part of a new £1.7 million Syngenta University Centre at Imperial College London, announced today, which will see researchers from Imperial and Syngenta working together to improve agricultural products.
Scientists are keen to develop new strains of crops such as drought resistant wheat and new pesticides that are more environmentally friendly. However, in order to do this, they need to predict how the genes inside plants will react when they are subjected to different chemicals or environmental conditions.
Professor Stephen Muggleton, Director of the new Centre from the Department of Computing at Imperial College London, says: "We believe our computing tool will revolutionise agricultural research by making the process much faster than is currently possible using conventional techniques. We hope that our new technology will ultimately help farmers to produce hardier, longer lasting and more nutritious crops."
The researchers have developed a prototype of the new tool, which they are currently testing. It can analyse in a matter of minutes, instead of months, which genes are responsible for different processes inside a plant, and how different genes work together. It uses a type of computer programming that relies on 'machine learning', a set of sophisticated algorithms that allows a computer to 'learn' based on data that it is analysing. The researchers say the tool will recognise complex patterns in that data to find 'nuggets' of information about plant biology that might previously have taken months or even years to find.
The 'machine learning' ability of the new tool means that researchers can develop an understanding of different plants even when they are lacking information about some aspects of their inner workings.
Previously, mathematical modelling of a plant's behaviour has been time consuming and difficult because without all the information about a plant, the models have been imprecise.
For the first project using the tool, scientists will look at how different genes affect the way a tomato's flesh hardens and tastes, and how the fruit's skin changes colour from green to red.
The researchers hope that this will enable them to develop new tomato strains that are tastier, and that redden earlier and soften later so that they can be transported more easily to market. These qualities could be especially useful in developing countries, where factors such as poor transport can quickly spoil fruit and vegetables.
Another project will see researchers testing the safety of pesticides that Syngenta is developing, before they reach the manufacturing stage. The tool will allow them to construct models that reveal, for example, whether a proposed pesticide might affect metabolites, which are responsible for processing energy inside a plant.
All software developed by researchers at Imperial College is intended to be made publicly available over the next four years.For further information please contact:
Innovative research at the College explores the interface between science, medicine, engineering and business, delivering practical solutions that improve quality of life and the environment - underpinned by a dynamic enterprise culture.
Since its foundation in 1907, Imperial's contributions to society have included the discovery of penicillin, the development of holography and the foundations of fibre optics. This commitment to the application of research for the benefit of all continues today, with current focuses including interdisciplinary collaborations to improve health in the UK and globally, tackle climate change and develop clean and sustainable sources of energy.
Colin Smith | EurekAlert!
Trees and climate change: Faster growth, lighter wood
14.08.2018 | Technische Universität München
Animals and fungi enhance the performance of forests
01.08.2018 | Deutsches Zentrum für integrative Biodiversitätsforschung (iDiv) Halle-Jena-Leipzig
New design tool automatically creates nanostructure 3D-print templates for user-given colors
Scientists present work at prestigious SIGGRAPH conference
Most of the objects we see are colored by pigments, but using pigments has disadvantages: such colors can fade, industrial pigments are often toxic, and...
Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...
Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.
When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...
Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.
Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....
Proteins must be folded correctly to fulfill their molecular functions in cells. Molecular assistants called chaperones help proteins exploit their inbuilt folding potential and reach the correct three-dimensional structure. Researchers at the Max Planck Institute of Biochemistry (MPIB) have demonstrated that actin, the most abundant protein in higher developed cells, does not have the inbuilt potential to fold and instead requires special assistance to fold into its active state. The chaperone TRiC uses a previously undescribed mechanism to perform actin folding. The study was recently published in the journal Cell.
Actin is the most abundant protein in highly developed cells and has diverse functions in processes like cell stabilization, cell division and muscle...
17.08.2018 | Event News
08.08.2018 | Event News
27.07.2018 | Event News
17.08.2018 | Physics and Astronomy
17.08.2018 | Information Technology
17.08.2018 | Life Sciences