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The pangenome of hexaploid bread wheat
Juan D Montenegro1, Agnieszka A Golicz1,2, Philipp E Bayer2
1School of Agriculture and Food Sciences, University of Queensland, Brisbane, Australia.
The Plant Journal : for Cell and Molecular Biology
|February 24, 2017
Summary
Gene presence-absence variation is key for wheat agronomic traits. This study reveals extensive gene diversity across 18 cultivars, identifying a large pangenome and variable gene sets linked to important traits.
Area of Science:
- Plant Genomics
- Crop Science
- Bioinformatics
Background:
- Gene presence-absence variation significantly impacts heritability of agronomic traits in crops.
- Intensive breeding in hexaploid wheat has reduced genetic diversity in elite cultivars.
- Existing reference genomes may not fully capture the diversity within modern wheat cultivars.
Purpose of the Study:
- To build an improved reference genome for Chinese Spring wheat.
- To explore gene diversity and pangenome structure across 18 elite wheat cultivars.
- To identify genes associated with agronomic traits through functional annotation of variable gene sets.
Main Methods:
- Construction of an improved reference genome assembly for Chinese Spring.
- Pangenome analysis across 18 diverse wheat cultivars.
- Functional annotation of the predicted wheat pangenome and identification of single nucleotide polymorphisms (SNPs).
Main Results:
- Predicted a wheat pangenome size of 140,500 ± 102 genes and a core genome of 81,070 ± 1631 genes.
- Identified an average of 128,656 genes per cultivar, with a substantial variable gene set.
- Discovered over 36 million intervarietal single nucleotide polymorphisms (SNPs) across the pangenome.
- Functional annotation indicated enrichment of variable genes potentially linked to agronomic traits.
Conclusions:
- The wheat pangenome analysis provides crucial insights into genome diversity within elite wheat.
- Understanding gene presence-absence variation and SNPs is fundamental for genomics-based crop improvement.
- The developed wheat pangenome resources (GBrowse and downloadable data) will aid future research and breeding efforts.

