eLife (Mar 2020)
A roadmap for gene functional characterisation in crops with large genomes: Lessons from polyploid wheat
- Nikolai M Adamski,
- Philippa Borrill,
- Jemima Brinton,
- Sophie A Harrington,
- Clémence Marchal,
- Alison R Bentley,
- William D Bovill,
- Luigi Cattivelli,
- James Cockram,
- Bruno Contreras-Moreira,
- Brett Ford,
- Sreya Ghosh,
- Wendy Harwood,
- Keywan Hassani-Pak,
- Sadiye Hayta,
- Lee T Hickey,
- Kostya Kanyuka,
- Julie King,
- Marco Maccaferrri,
- Guy Naamati,
- Curtis J Pozniak,
- Ricardo H Ramirez-Gonzalez,
- Carolina Sansaloni,
- Ben Trevaskis,
- Luzie U Wingen,
- Brande BH Wulff,
- Cristobal Uauy
Affiliations
- Nikolai M Adamski
- ORCiD
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom
- Philippa Borrill
- ORCiD
- School of Biosciences, University of Birmingham, Birmingham, United Kingdom
- Jemima Brinton
- ORCiD
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom
- Sophie A Harrington
- ORCiD
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom
- Clémence Marchal
- ORCiD
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom
- Alison R Bentley
- John Bingham Laboratory, Cambridge, United Kingdom
- William D Bovill
- Commonwealth Scientific and Industrial Research Organisation, Agriculture and Food (CSIRO), Canberra, Australia
- Luigi Cattivelli
- ORCiD
- Council for Agricultural Research and Economics, Research Centre for Genomics and Bioinformatics, Fiorenzuola d'Arda, Italy
- James Cockram
- John Bingham Laboratory, Cambridge, United Kingdom
- Bruno Contreras-Moreira
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Brett Ford
- Commonwealth Scientific and Industrial Research Organisation, Agriculture and Food (CSIRO), Canberra, Australia
- Sreya Ghosh
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom
- Wendy Harwood
- ORCiD
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom
- Keywan Hassani-Pak
- Rothamsted Research, Harpenden, United Kingdom
- Sadiye Hayta
- ORCiD
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom
- Lee T Hickey
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, Australia
- Kostya Kanyuka
- ORCiD
- Rothamsted Research, Harpenden, United Kingdom
- Julie King
- Division of Plant and Crop Sciences, The University of Nottingham, Sutton Bonington Campus, Loughborough, United Kingdom
- Marco Maccaferrri
- Department of Agricultural and Food Sciences (DISTAL), Alma Mater Studiorum - Università di Bologna (University of Bologna), Bologna, Italy
- Guy Naamati
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Curtis J Pozniak
- Crop Development Centre, University of Saskatchewan, Saskatoon, Canada
- Ricardo H Ramirez-Gonzalez
- ORCiD
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom
- Carolina Sansaloni
- ORCiD
- International Maize and Wheat Improvement Center (CIMMYT), El Batán, Mexico
- Ben Trevaskis
- Commonwealth Scientific and Industrial Research Organisation, Agriculture and Food (CSIRO), Canberra, Australia
- Luzie U Wingen
- ORCiD
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom
- Brande BH Wulff
- ORCiD
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom
- Cristobal Uauy
- ORCiD
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom
- DOI
- https://doi.org/10.7554/eLife.55646
- Journal volume & issue
-
Vol. 9
Abstract
Understanding the function of genes within staple crops will accelerate crop improvement by allowing targeted breeding approaches. Despite their importance, a lack of genomic information and resources has hindered the functional characterisation of genes in major crops. The recent release of high-quality reference sequences for these crops underpins a suite of genetic and genomic resources that support basic research and breeding. For wheat, these include gene model annotations, expression atlases and gene networks that provide information about putative function. Sequenced mutant populations, improved transformation protocols and structured natural populations provide rapid methods to study gene function directly. We highlight a case study exemplifying how to integrate these resources. This review provides a helpful guide for plant scientists, especially those expanding into crop research, to capitalise on the discoveries made in Arabidopsis and other plants. This will accelerate the improvement of crops of vital importance for food and nutrition security.
Keywords