Logo image
Wheat genome structure and function: genome sequence data and the International Wheat Genome Sequencing Consortium
Journal article   Peer reviewed

Wheat genome structure and function: genome sequence data and the International Wheat Genome Sequencing Consortium

P. Moolhuijzen, D.S. Dunn, M. Bellgard, M. Carter, J. Jia, X. Kong, B.S. Gill, C. Feuillet, J. Breen and R. Appels
Australian Journal of Agricultural Research, Vol.58(6), pp.470-475
2007
url
Link to Published Version *Subscription may be requiredView

Abstract

Genome sequencing and the associated bioinformatics is now a widely accepted research tool for accelerating genetic research and the analysis of genome structure and function of wheat because it leverages similar work from other crops and plants. The International Wheat Genome Sequencing Consortium addresses the challenge of wheat genome structure and function and builds on the research efforts of Professor Bob McIntosh in the genetics of wheat. Currently, expressed sequence tags (ESTs; ∼500 000 to date) are the largest sequence resource for wheat genome analyses. It is estimated that the gene coverage of the wheat EST collection is ∼60%, close to that of Arabidopsis, indicating that ∼40% of wheat genes are not represented in EST collections. The physical map of the D-genome donor species Aegilops tauschii is under construction (http://wheat.pw.usda.gov/PhysicalMapping). The technologies developed in this analysis of the D genome provide a good model for the approach to the entire wheat genome, namely compiling BAC contigs, assigning these BAC contigs to addresses in a high resolution genetic map, filling in gaps to obtain the entire physical length of a chromosome, and then large-scale sequencing.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#13 Climate Action
#15 Life on Land

Source: InCites

Metrics

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Citation topics
3 Agriculture, Environment & Ecology
3.4 Crop Science
3.4.96 QTL
Web Of Science research areas
Agriculture, Multidisciplinary
ESI research areas
Agricultural Sciences
Logo image