An improved assembly and annotation of the allohexaploid wheat genome identifies complete families of agronomic genes and provides genomic evidence for chromosomal translocations
Research output: Contribution to journal › Article › peer-review
Authors
Colleges, School and Institutes
External organisations
- Earlham Institute, Norwich, NR4 7UZ, United Kingdom.
- John Innes Centre, Norwich, NR4 7UH, United Kingdom.
- ARC Centre of Excellence in Plant Energy Biology, The University of Western Australia, Crawley Western Australia 6009, Australia.
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom, CB10 1SD.
- Plant Genome and Systems Biology, Helmholtz Center Munich, 85764 Neuherberg, Germany.
- University of East Anglia
- Rothamsted Research, Harpenden, AL5 2JQ, United Kingdom.
- The Sainsbury Laboratory, Norwich, NR4 7UH, United Kingdom.
Abstract
Advances in genome sequencing and assembly technologies are generating many high-quality genome sequences, but assemblies of large, repeat-rich polyploid genomes, such as that of bread wheat, remain fragmented and incomplete. We have generated a new wheat whole-genome shotgun sequence assembly using a combination of optimized data types and an assembly algorithm designed to deal with large and complex genomes. The new assembly represents >78% of the genome with a scaffold N50 of 88.8 kb that has a high fidelity to the input data. Our new annotation combines strand-specific Illumina RNA-seq and Pacific Biosciences (PacBio) full-length cDNAs to identify 104,091 high-confidence protein-coding genes and 10,156 noncoding RNA genes. We confirmed three known and identified one novel genome rearrangements. Our approach enables the rapid and scalable assembly of wheat genomes, the identification of structural variants, and the definition of complete gene models, all powerful resources for trait analysis and breeding of this key global crop.
Details
Original language | English |
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Pages (from-to) | 885-896 |
Number of pages | 12 |
Journal | Genome Research |
Volume | 27 |
Issue number | 5 |
Publication status | Published - May 2017 |
Keywords
- Algorithms, Contig Mapping/methods, Genome, Plant, Molecular Sequence Annotation/methods, Plant Proteins/genetics, Polymorphism, Genetic, Polyploidy, Translocation, Genetic, Triticum/genetics