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Genomic basis of European ash tree resistance to ash dieback fungus

Jonathan J. Stocks, Carey L. Metheringham, William Plumb, Steve J. Lee, Laura J. Kelly, Richard A. Nichols, View ORCID ProfileRichard J. A. Buggs
doi: https://doi.org/10.1101/626234
Jonathan J. Stocks
School of Biological and Chemical Sciences, Queen Mary University of London, London, E1 4NS, UKRoyal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AE, UK
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Carey L. Metheringham
School of Biological and Chemical Sciences, Queen Mary University of London, London, E1 4NS, UKRoyal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AE, UK
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William Plumb
School of Biological and Chemical Sciences, Queen Mary University of London, London, E1 4NS, UKRoyal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AE, UK
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Steve J. Lee
Forest Research, Northern Research Station, Roslin Midlothian, EH25 9SY, UK
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Laura J. Kelly
School of Biological and Chemical Sciences, Queen Mary University of London, London, E1 4NS, UKRoyal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AE, UK
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Richard A. Nichols
School of Biological and Chemical Sciences, Queen Mary University of London, London, E1 4NS, UK
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Richard J. A. Buggs
School of Biological and Chemical Sciences, Queen Mary University of London, London, E1 4NS, UKRoyal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AE, UK
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  • ORCID record for Richard J. A. Buggs
  • For correspondence: r.buggs@kew.org
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Summary

Populations of European ash trees (Fraxinus excelsior) are being devastated by the invasive alien fungus Hymenoscyphus fraxineus, which causes ash dieback (ADB). We sequenced whole genomic DNA from 1250 ash trees in 31 DNA pools, each pool containing trees with the same ADB damage status in a screening trial and from the same seed-source zone. A genome-wide association study (GWAS) identified 3,149 single nucleotide polymorphisms (SNPs) associated with low versus high ADB damage. Sixty-one of the 203 most significant SNPs were in, or close to, genes with putative homologs already known to be involved in pathogen responses in other plant species. We also used the pooled sequence data to train a genomic prediction (GP) model, cross-validated using individual whole genome sequence data generated for 75 healthy and 75 damaged trees from a single seed source. Using the top 30% of our genomic estimated breeding values from 200 SNPs, we could predict tree health with over 90% accuracy. We infer that ash dieback resistance in F. excelsior is a polygenic trait that should respond well to both natural selection and breeding, which could be accelerated using GP.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted May 02, 2019.
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Genomic basis of European ash tree resistance to ash dieback fungus
Jonathan J. Stocks, Carey L. Metheringham, William Plumb, Steve J. Lee, Laura J. Kelly, Richard A. Nichols, Richard J. A. Buggs
bioRxiv 626234; doi: https://doi.org/10.1101/626234
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Genomic basis of European ash tree resistance to ash dieback fungus
Jonathan J. Stocks, Carey L. Metheringham, William Plumb, Steve J. Lee, Laura J. Kelly, Richard A. Nichols, Richard J. A. Buggs
bioRxiv 626234; doi: https://doi.org/10.1101/626234

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