New method for associating genetic variation with crop traits

"For many crop plants, markers are still lacking because of the complexity of some plants' genomes and the very high costs involved," said Professor Ian Bancroft, who led the study at the John Innes Centre. "We have succeeded in developing markers based on the sequences of expressed genes, widening the possibilities for accelerated breeding through marker assisted selection."

Expressed genes are converted from genomic DNA to mRNA. Working with mRNA means that there is no need to generate a complete genome sequence from DNA, making the techniques applicable to a wide range of crops, even those with complex genomes, such as oilseed rape and wheat. It also enables the development of advanced marker resources for less studied crops that are important for developing countries or have specific medicinal or industrial properties.

The research was funded by the Biotechnology and Biological Sciences Research Council (BBSRC) and the UK Department for Environment, Food and Rural Affairs (Defra).

Peter Werner of plant breeding company KWS UK Ltd and part of the research team said "KWS UK has been delighted to be involved with this ground breaking developmental research. We will be increasingly using this approach to further improve the speed and reliability of our breeding towards the continued improvement of yield and quality of our new varieties produced within the KWS group."

In partnership with the Cambridge-based bioinformatics company Eagle Genomics Ltd, the technology, called TraitTag, is being offered as a service to plant breeders. Markers associated with measured trait variation can be identified in essentially any crop species, including traits controlled at the level of gene expression variation rather than gene sequence variation, such as those with an epigenetic basis.

In an example of such an application, the researchers are now working with plant breeding company Limagrain to produce reliable markers for hybrid performance in oilseed rape. Marker-assisted breeding for this complex trait has previously been unsuccessful due to a lack of available markers and appropriate technology.

Using bioinformatics techniques it is possible to associate variation in both the sequences of expressed genes and their relative abundance in the mRNA with important traits, and then produce markers for these traits that breeders can use in their breeding programmes. Their research was published in the journal Nature Biotechnology and was funded by the Biotechnology and Biological Sciences Research Council (BBSRC) and the UK Department for Environment, Food and Rural Affairs (Defra).