Published August 6, 2025 | Version v4
Dataset Open

Additional Data: De Novo Annotation Reveals Transcriptomic Complexity Across the Hexaploid Wheat Pan-Genome

  • 1. ROR icon Earlham Institute
  • 2. EDMO icon Helmholtz Munich
  • 3. Edith Cowan University
  • 4. ROR icon John Innes Centre
  • 5. The Earlham Institute
  • 6. ROR icon Limagrain (France)
  • 7. Commonwealth Scientific and Industrial Research Organisation
  • 8. CSIRO Queensland Bioscience Precinct
  • 9. ROR icon Niigata University
  • 10. ROR icon Kyoto Prefectural University
  • 11. Kyoto University
  • 12. Helmholtz Center Munich
  • 13. EDMO icon European Molecular Biology Laboratory - European Bioinformatics Institute
  • 14. ROR icon Syngenta (United States)
  • 15. ROR icon King Abdullah University of Science and Technology
  • 16. Georg-August-University
  • 17. ROR icon Leibniz Institute of Plant Genetics and Crop Plant Research
  • 18. EDMO icon Technical University of Munich
  • 19. ROR icon University of Saskatchewan

Description

Wheat is the most widely cultivated crop in the world, with over 215 million hectares grown annually. The 10+ Wheat Genomes Project recently sequenced and assembled to chromosome-level the genomes of nine wheat cultivars, uncovering genetic diversity and selection within the pan-genome of wheat. Here, we provide a wheat pan-transcriptome with de novo annotation and differential expression analysis for these wheat cultivars across multiple tissues. Analysis of these de novo annotations facilitated the identification of cultivar-specific genes and defined the core and dispensable genomes. Expression analysis across cultivars and tissues revealed conservation in expression between a large core set of homeologous genes, but also widespread changes in subgenome homeolog expression bias between cultivars and cultivar-specific expression profiles. In a case study utilising both the newly constructed gene-based wheat pan-genome and pan-transcriptome, we demonstrate variation in the prolamin superfamily and immune-reactive proteins across cultivars.

The datasets provided here are detailed in _README_contents.xlsx

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global_30let_biases_table.csv

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Additional details

Related works

Is supplement to
Publication: 10.1038/s41467-025-64046-1 (DOI)