The Ancient Origin and Dynamic Diversification of the Fungal Poly(ADP)-ribose Polymerase Protein Family
Milo, S.; Murphy, C. N.; Newman, M.; Norment, D.; Yu, H.; Covo, S.; Ma, L.-J.
Show abstract
Poly(ADP-ribose) polymerases (PARPs) catalyze ADP-ribosylation, a conserved post- translational modification involved in DNA repair, transcriptional regulation, and chromatin remodeling. Although extensively studied in animals, the evolution and diversification of PARPs across the fungal kingdom remain largely unexplored. Here, we present the first kingdom-wide comparative genomic analysis of PARP proteins across 534 fungal species spanning eight phyla. We identified two primary conserved fungal PARP protein types corresponding to human PARP1 and PARP6. Both exhibit highly dynamic evolutionary histories characterized by frequent independent gain and loss events. Ancestral state reconstruction supports the presence of PARP1 in the last common ancestor of fungi, whereas the PARP6-like family has undergone repeated lineage-specific gains and losses. Fungal PARP6-like proteins retain a compact PARP catalytic domain fused to a C-terminal E2 ubiquitin-conjugating domain, whereas the PARP1 family displays extensive structural diversification through domain shuffling and lineage-specific fusions associated with DNA metabolism, chromatin remodeling, and signal transduction. Reconstruction of ancestral catalytic motifs across fungi and other eukaryotes revealed convergent evolution of a non-canonical H-Y-Y catalytic triad, with multiple motif variants co-occurring within individual proteins, suggesting functional diversification. In the Fusarium oxysporum species complex, we identified a lineage-specific expansion of the PARP family, driven exclusively by accessory chromosomes. Genomes with expanded PARP1 repertoires exhibited elevated basal PARylation, increased resistance to DNA-damaging agents that induce single strand breaks, and DNA damage- induced expression of accessory Parp genes. These findings reveal fungal PARPs as evolutionarily dynamic proteins that likely contribute to genome stability, adaptation, and pathogenicity.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Frequent genetic exchanges revealed by a pan-mitogenome graph of a fungal plant pathogen 95%
- Resistance-guided mining of bacterial genotoxins defines a family of DNA glycosylases 94%
- Transposon mediated horizontal transfer of the host-specific virulence protein ToxA between three fungal wheat pathogens 94%
Similar papers in this journal
- A pathogen effector FOLD diversified in symbiotic fungi 96%
- Row1, a member of a new family of conserved fungal proteins involved in infection, is required for appressoria functionality in Ustilago maydis 95%
- Guanosine-specific single-stranded ribonuclease effectors of a phytopathogenic fungus potentiate host immune responses 95%
Similar papers in this journal
- Structure-guided secretome analysis of gall-forming microbes offers insights into effector diversity and evolution 96%
- Obligate sexual reproduction of a homothallic fungus closely related to the Cryptococcus pathogenic species complex 95%
- Loss of centromere function drives karyotype evolution in closely related Malassezia species 95%
Similar papers in this journal
- The Conserved Colletotrichum spp. Effector CEC3 Induces Nuclear Expansion and Cell Death in Plants 95%
- Characterization of two conserved cell death elicitor families from the Dothideomycete fungal pathogens Dothistroma septosporum and Fulvia fulva (syn. Cladosporium fulvum) 94%
- Mitochondrial Genome Diversity across the Subphylum Saccharomycotina 94%
Similar papers in this journal
- Increased pathogenicity of the nematophagous fungus Drechmeria coniospora following long-term laboratory culture. 96%
- Comparative genomics of the extremophile Cryomyces antarcticus and other psychrophilic Dothideomycetes 95%
- In-depth phylogenomic analysis of arbuscular mycorrhizal fungi based on a comprehensive set of de novo genome assemblies 95%
"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.