Dynamic gene gain and loss during the divergence of obligate biotrophic powdery mildew pathogens
Heaven, T. C.; Cockerton, H. M.; Xu, X.; Goddard, M. R.; Armitage, A. D.
Show abstract
Powdery mildew outbreaks can result in devastating crop losses across both horticultural and cereal crops. The obligate biotrophic fungi responsible (Erysiphaceae) depend entirely on living plant hosts for survival, extracting nutrients exclusively from living host tissue. Despite their impact, genomic resources for dicot-infecting powdery mildew fungi remain limited, restricting understanding of differentiation in the effector complements that underpin biotrophy across mildew lineages. To address this, we sequenced and assembled genomes from three independent samples each of Podosphaera leucotricha (apple mildew) and P. aphanis sensu lato (strawberry & raspberry mildew). These novel genomes were analysed alongside 44 publicly-available Erysiphaceae genomes to reveal striking inter-species differences in effectorome complements. P. leucotricha encoded the largest predicted effector complement of any powdery mildew pathogen sequenced to date, with major expansions in RALPH and EKA effector families. By contrast, the closely related P. aphanis carried a comparatively small effector repertoire. Together, these data challenge the prevailing view that effector expansion is restricted to monocot-infecting mildews. We observed that the divergence of powdery mildew genera is associated with the contraction of gene families, consistent with a stepwise loss of genes. This pattern was also reflected in the loss of genes that are typically conserved across ascomycete fungi. Taken together our findings highlight the contrasting impact that biotrophic adaptation has had on pathogen genomes, namely the convergent loss of conserved fungal genes alongside the diversification of pathogen effectoromes in response to host immune landscapes.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Comparative pangenomic insights into the distinct evolution of virulence factors among grapevine trunk pathogens 96%
- Ancestral chromosomes for the Peronosporaceae inferred from a telomere-to-telomere genome assembly of Peronospora effusa. 94%
- Metatranscriptomic comparison of endophytic and pathogenic Fusarium-Arabidopsis interactions reveals plant transcriptional plasticity 94%
Similar papers in this journal
- Host adaptation and genome evolution of the broad host range fungal rust pathogen, Austropuccinia psidii 96%
- The genome of the oomycete Peronosclerospora sorghi, a cosmopolitan pathogen of maize and sorghum, is inflated with dispersed pseudogenes 95%
- Intraspecies sequence-graph analysis of the Phytophthora theobromicola genome reveals a dynamic structure and variable effector repertoires 94%
Similar papers in this journal
- An ancient antimicrobial protein co-opted by a fungal plant pathogen for in planta mycobiome manipulation 95%
- Duplication and neofunctionalization of a horizontally-transferred xyloglucanase as a facet of the red queen co-evolutionary dynamic 94%
- Pangenomics facilitated with structural analysis reveals host NAD+ manipulation as a major virulence activity of bacterial effectors 94%
Similar papers in this journal
- Large-scale transcriptomics to dissect two years of the life of a fungal phytopathogen interacting with its host plant 95%
- Dissecting the Pyrenophora tritici-repentis (tan spot of wheat) pangenome 95%
- The Venturia inaequalis effector repertoire is expressed in waves and is dominated by expanded families with predicted structural similarity to avirulence proteins from other plant-pathogenic fungi 95%
Similar papers in this journal
- Marchantia polymorpha model reveals conserved infection mechanisms in the vascular wilt fungal pathogen Fusarium oxysporum 94%
- A highly polymorphic effector protein promotes fungal virulence through suppression of plant-associated Actinobacteria 93%
- A pathogen effector FOLD diversified in symbiotic fungi 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.