bioRxivEvolutionary Biology
Genes for ash tree resistance to an insect pest identified via comparative genomics
L. J. Kelly, W. J. Plumb, D. W. Carey, M. E. Mason, E. D. Cooper, W. Crowther, A. T. Whittemore, S. J. Rossiter, J. L. Koch, R. J. Buggs
Abstract
Genome-wide discovery of candidate genes for functional traits within a species typically involves the sequencing of large samples of phenotyped individuals1, or linkage analysis through multiple generations2. When a trait occurs repeatedly among phylogenetically independent lineages within a genus, a more efficient approach may be to identify genes via detection of amino acid residues shared by species possessing that trait3,4. Here, by taking this approach, we identify candidate loci in the genus Fraxinus (ash trees) for resistance to the emerald ash borer beetle (EAB; Agrilus planipennis), a pest species that appears innocuous to otherwise healthy ash in its native East Asian range5 but is highly destructive in North America6 and poses a threat to ash trees in Europe7. Assembling whole genome sequences for 24 diploid species and subspecies of ash, and estimating resistance to EAB for 26 taxa from egg bioassays, we find 53 genes containing amino acid variants shared between two or more independent Fraxinus lineages with EAB-resistant species, that are unlikely to be due to chance or undetected paralogy. Of these, seven genes have putative roles relating to the phenylpropanoid biosynthesis pathway and 17 are potentially connected to herbivore recognition, defence signalling or programmed cell death. We also find that possible loss-of-function mutations among our 53 candidate genes are more frequent in susceptible species, than in resistant ones. Patterns of polymorphism for the EAB-associated amino acid variants in ash trees representing different European populations suggest that selection may be able to enhance their resistance to EAB.
- organism: multiple species
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: comparative / phylogenetic analysis
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