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    Genome-wide analysis in three Fusarium pathogens identifies rapidly evolving chromosomes and genes associated with pathogenicity

    Access Status
    Open access via publisher
    Authors
    Sperschneider, J.
    Gardiner, D.
    Thatcher, L.
    Lyons, R.
    Singh, Karambir
    Manners, J.
    Taylor, J.
    Date
    2015
    Type
    Journal Article
    
    Metadata
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    Citation
    Sperschneider, J. and Gardiner, D. and Thatcher, L. and Lyons, R. and Singh, K. and Manners, J. and Taylor, J. 2015. Genome-wide analysis in three Fusarium pathogens identifies rapidly evolving chromosomes and genes associated with pathogenicity. Genome Biology and Evolution. 7 (6): pp. 1613-1627.
    Source Title
    Genome Biology and Evolution
    DOI
    10.1093/gbe/evv092
    School
    Centre for Crop Disease Management
    URI
    http://hdl.handle.net/20.500.11937/46762
    Collection
    • Curtin Research Publications
    Abstract

    Pathogens and hosts are in an ongoing arms race and genes involved in host-pathogen interactions are likely to undergo diversifying selection. Fusarium plant pathogens have evolved diverse infection strategies, but how they interact with their hosts in the biotrophic infection stage remains puzzling. To address this, we analyzed the genomes of three Fusarium plant pathogens for genes that are under diversifying selection. We found a two-speed genome structure both on the chromosome and gene group level. Diversifying selection acts strongly on the dispensable chromosomes in Fusarium oxysporum f. sp. lycopersici and on distinct core chromosome regions in Fusarium graminearum, all of which have associations with virulence. Members of two gene groups evolve rapidly, namely those that encode proteins with an N-terminal [SG]-P-C-[KR]-P sequence motif and proteins that are conserved predominantly in pathogens. Specifically, 29 F. graminearum genes are rapidly evolving, in plant a induced and encode secreted proteins, strongly pointing toward effector function. In summary, diversifying selection in Fusarium is strongly reflected as genomic footprints and can be used to predict a small gene set likely to be involved in host-pathogen interactions for experimental verification.

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