Welcome to WGIN 3rd Phase (2015-2017)
Defra Wheat Genetic Improvement Network - Improving the resilience of the wheat crop through genetics and targeted trait analysis
WGIN 3 has been funded by Defra until March 2017
1) A joint GINs Stakeholders Event was held at JIC on February 22nd to highlight the decade of science done within all four Defra funded GINs - WGIN, OREGIN, VeGIN and PGIN.
For an appraisal of the event by Defra's Giulia Cuccato and David Cooper please click here. The agenda and GIN presentations can be found in 'meetings' under the 'Information' tab.
2) The 13th WGIN STAKEHOLDERS' MEETING was held on Friday November 20th 2015 @ Fowden Hall, Rothamsted Conference Centre, Rothamsted Research, Harpenden. Presentations can be found in 'meetings' under the 'Information' tab.
3) The 4th WGIN 3 Management Meeting was held at Rothamsted Research on March 2nd 2016. Details can be found in 'meetings' under the 'Information' tab.
4) The WGIN Legacy document, covering the achievements and outcomes of the first TEN years (WGIN 1 2003-2008, WGIN 2 2009-2014) is now available to peruse by clicking this link: WGIN 1&2 Legacy
5) The February 2016 edition of the WGIN Stakeholders' Newsletter can be viewed here.
***High Density Genotyping of
18 WGIN AxC Near Isogenic Lines***
The WGIN AxC DH population has been exploited by many research groups around the world. NILs for WGIN QTLs have allowed us to show the value of the genes underlying these QTL for breeding and agriculture. Now Simon Griffiths’ group @ JIC has embarked upon the generation of a population where segments of the entire wheat genomes of Avalon or Cadenza are represented in individual lines of the opposite background. These will provide a unique resource for targeted screening of discrete chromosomal regions of interest through crosses to specific lines.
The initial stage of this process has been to genotype eighteen of these NILs, representing most of the identified QTLs, on the 820K Axiom Array at the University of Bristol Genomics Facility.
The six maps (click on either of the following to read them) - ‘Frame v 820k v 35k’, ‘NILs’, ‘A Genome’, ‘B genome’, ‘D Genome’, ‘820k & BS’ - show these data in different formats; please click on ‘Information’ for further details.
The UK government is committed to more sustainable agriculture but this vision is facing an ever expanding range of environmental, energy and climate change challenges. Wheat is grown on a larger area and is more valuable than any other arable crop in the UK. Established in 2003, the Wheat Genetic Improvement Network (WGIN) arose directly from a realisation in the early 2000s that over the preceding two decades there had been a widening disconnection between commercial plant breeding activities and publicly funded plant and crop research. The overall aim of WGIN is to generate pre-breeding material carrying novel traits for the UK breeding companies and to deliver accessible technologies, thereby ensuring the means are available to produce new, improved varieties. An integrated scientific 'core' which combines underpinning work on molecular markers, genetic and genomic research, together with novel trait identification, are being pursued to achieve this goal. The predicted wider impacts of the project can be viewed in the impact networks which were developed for each of the scientific objectives.RECENT UPDATES
OLD Site - The old site is still available here.
Disclaimer: The site and all images provided on the WGIN website are © 2009 Rothamsted Research unless otherwise indicated. No image may be copied, reproduced, used or distributed without the permission of the copyright owner.
In all work which uses the DH Avalon x Cadenza population the following text must be cited: The population of doubled-haploid (DH) individuals, derived from F1 progeny of a cross between cvs Avalon and Cadenza, was developed by Clare Ellerbrook, Liz Sayers and the late Tony Worland (John Innes Centre), as part of a Defra funded project led by ADAS. The parents were originally chosen (to contrast for canopy architecture traits) by Steve Parker (CSL), Tony Worland and Darren Lovell (Rothamsted Research).