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Crous, P. W.

Publications and source records attributed to Crous, P. W..

8 recordsLinked to original sources

Consolidating species boundaries in the Fusarium oxysporum species complex based on genomic evidence

The Fusarium oxysporum species complex (FOSC) comprises numerous plant pathogens infecting crops such as tomato, lettuce, melon, and banana. Despite its economic and ecological importance and decades of research, the species names linked to different phylogenetic lineages within this species complex remain largely controversial. Earlier taxonomic frameworks relied on a limited number of marker genes, variable taxon sampling and inconsistent species definitions, leading to a fragmented and unstable taxonomy. To address these challenges, we here analysed nearly 2,500 conserved marker genes from 660 genomes, including genome assemblies from 22 ex-type strains that were sequenced using long-read sequencing technology, representing nearly half of the 51 currently described species within FOSC. Maximum likelihood- and coalescence-based analyses of the full phylogenomic data matrix as well as subsets yielded a robust phylogeny of FOSC, which was furthermore corroborated by whole genome comparisons. Many previously described species are redundant, while two novel lineages remain undescribed. Direct comparisons to traditional marker gene-based approaches demonstrate their inadequacy for species delimitation in FOSC. We show that our phylogenomic framework can guide the detection of novel marker genes able to distinguish the major lineages within FOSC, which will be essential for taxon delineation and classification in future studies. Thus, our phylogenomic analyses provide a stable cornerstone for revising FOSC taxonomy and offers a critical resource for the broader research community.

evolutionary biology↗

Genetic factors driving multi-host infection in a core member of the root mycobiota

Core members of the fungal root microbiota include pathogens capable of colonizing multiple hosts, yet the underlying genetic determinants remain unknown. We report that Plectosphaerella cucumerina is a core member of the Arabidopsis thaliana root microbiota displaying high pathogenic potential and multi-host colonization capabilities. Establishment of a Plectosphaerella reference culture collection, followed by whole-genome sequencing of 72 strains reveals subtle phenotypic and genotypic variation that associate with fungal phylogeny, but not host plant identity. Transcriptome profiling of a model P. cucumerina isolate in roots of multiple hosts identifies core and host-specific fungal processes linked to carbon catabolism and root cell wall deconstruction of the hosts. A fungal gene encoding a candidate {beta}-1,3-glucanase (GH64) was identified as a key genetic factor driving infection and disease in plants that diverged 110 million years ago. The gene is enriched in plant-colonizing fungi and consistently functions as a disease determinant in the root pathogen Colletotrichum incanum. We conclude that diverse and tunable fungal repertoires of carbohydrate-active enzymes act as disease determinants and drive multi-host compatibility belowground.

microbiology↗

Disentangling the importance of microbiological and physicochemical properties of Ethiopian field soils for the Striga seed bank and sorghum infestations

Striga hermonthica (Striga) is a parasitic weed that severely affects sorghum yields in sub-Saharan Africa. Recent studies highlighted the soil microbiomes potential to suppress Striga through interference with specific stages in its life cycle. In this study, meta-analysis of 48 Ethiopian field soils revealed that microbial communities and their interactions with soil physico-chemical properties correlated with Striga field occurrence. Striga infestation of sorghum and soil seedbank levels were negatively correlated with clay content and the nutrients potassium, sulfur, calcium, and carbon. Microbiome analyses indicated that fungal communities were more responsive than bacteria to changes in Striga infestation and seedbank levels, with distinct microbial compositions even in soils where Striga was not detected. Specific fungal and bacterial genera showed both positive and negative correlations with Striga measures, but patterns rarely held across taxonomic levels, highlighting the complexity of microbiome-Striga interactions. To begin to validate these correlations, we tested an isolate from the fungal genus Neocosmospora, which negatively correlated with the Striga seedbank, and showed that this isolate promotes Striga seed germination in vitro, suggesting potential for biological control of Striga. The data and analysis methods are integrated and shared in a public Shiny App for broader analysis and continued research on soil-Striga interactions.

plant biology↗

Chromosome-level genome assemblies for the latent pine pathogen, Diplodia sapinea, reveal two rapidly evolving accessory chromosomes

Diplodia sapinea (Dothideomycetes) is a latent fungal pathogen with a global distribution that predominantly infects Pinus species. The impact of the fungus is increasing due to climate-driven range expansion and thus wide-scale disease outbreaks. With the aim of developing high quality genome resources, we generated chromosome-level genome assemblies for three D. sapinea isolates and low-coverage Illumina genome data for six additional isolates. By comparing these genome assemblies, we identified 14 core chromosomes and two accessory chromosomes (ACs) in the pathogen. The ACs encode 80 and 155 proteins, respectively, while 11374 - 11609 genes were identified in the core chromosomes. Both ACs had lower gene density and higher proportions of transposable elements compared to the core chromosomes. Sequence analysis indicated that genes on the ACs are rapidly evolving, suggesting they serve as evolutionary hotspots in the species. Sequence homology analyses suggested that the ACs were likely acquired horizontally, probably from a species in the Dothideomycetes. We designed PCR-based assays to aid in the detection of the ACs and applied these on a set of 37 isolates from 14 countries. One of the ACs was detected in 33 isolates from 13 countries, while the other AC was absent in all isolates tested. Pathogenicity trials on Pinus patula seedlings showed no correlation between the presence of ACs and isolate aggressiveness. The high-quality genomes provided here offer important resources for future research on this globally important pathogen, including the biological roles of the ACs.

genomics↗

Reciprocal interactions between the sorghum root microbiome and the parasitic weed Striga hermonthica

The soil microbiome plays a crucial role in protecting plants against various pests and pathogens. However, its impact on interactions between plants and parasitic weeds, such as Striga hermonthica, is poorly understood. In this study, sorghum plants susceptible to Striga were grown in 22 different field soils infested with parasite seeds. Significant variations in Striga infections were observed among the soils. When the most Striga-suppressive soil was gamma-irradiated, there was a significant increase in Striga attachments, highlighting the importance of the soil microbiome in disrupting parasite infection. In the presence of the soil microbiome, the Striga-susceptible sorghum plants performed similarly to three Striga-resistant genotypes. This effect was lost when the soil microbiome was eliminated by gamma-irradiation. Subsequent analysis revealed that Striga substantially affected the sorghum rhizosphere microbiome and that both the sorghum rhizosphere mycobiome and bacteriome composition significantly correlated with Striga attachment. Interestingly, certain fungal species in the sorghum rhizosphere mycobiome were only detected when Striga seeds were present. Further investigation showed that these fungal taxa originated from the Striga seeds and are known sorghum pathogens, suggesting a potential partnership between Striga and fungal pathogens to invade their shared host. Overall, our study demonstrated that the soil microbiome influences Striga infection and sorghum performance in a genotype-dependent manner, and the microbiome of Striga seeds affects the composition of the sorghum rhizosphere microbiome.

ecology↗

Enemy or ally: a genomic approach to elucidate the lifestyle of Phyllosticta citrichinaensis

Members of the fungal genus Phyllosticta can colonize a variety of plant hosts, including several Citrus species such as Citrus sinensis (orange), Citrus limon (lemon), and Citrus maxima (pomelo). Some Phyllosticta species have the capacity to cause disease, such as Citrus Black Spot, while others have only been observed as endophytes. Thus far, genomic differences underlying lifestyle adaptations of Phyllosticta species have not yet been studied. Furthermore, the lifestyle of Phyllosticta citrichinaensis is ambiguous, as it has been described as a weak pathogen but Kochs postulates may not have been established and the presence of this species was never reported to cause any crop or economic losses. Here, we examined the genomic differences between pathogenic and endophytic Phyllosticta spp. colonizing Citrus and specifically aimed to elucidate the lifestyle of Phyllosticta citrichinaensis. We found several genomic differences between species of different lifestyles, including groups of genes that were only present in pathogens or endophytes. We also observed that species, based on their carbohydrate active enzymes, group independent of their phylogenetic association, and this clustering correlated with trophy prediction. Phyllosticta citrichinaensis shows an intermediate lifestyle, sharing genomic and phenotypic attributes of both pathogens and endophytes. We thus present the first genomic comparison of multiple citrus-colonizing pathogens and endophytes of the genus Phyllosticta, and therefore provide the basis for further comparative studies into the lifestyle adaptations within this genus.

bioinformatics↗

Mating-type locus rearrangement leads to shift from homothallism to heterothallism in Citrus-associated Phyllosticta species

Currently, eight Phyllosticta species are known to be associated with Citrus hosts, incorporating endophytic and pathogenic lifestyles. As sexual reproduction is a key factor involved in host-interaction, it could be related to the differences in lifestyle. To evaluate this hypothesis, we characterized the mating-type loci of six Citrus-associated Phyllosticta species from whole genome assemblies. Mating-type genes are highly variable in their sequence content, but the genomic locations and organization of the mating-type loci are conserved. Phyllosticta citriasiana, P. citribraziliensis and P. paracitricarpa are heterothallic, and P. citrichinaensis was confirmed to be homothallic. In addition, the P. citrichinaensis MAT1-2 idiomorph occurs in a separate location from the mating-type locus. Ancestral state reconstruction suggests that homothallism is the ancestral thallism state in Phyllosticta, with a shift to heterothallism in Phyllosticta species that are pathogenic to Citrus. Moreover, the homothallic strategies of P. capitalensis and P. citrichinaensis result from independent evolutionary events. As the pathogenic species P. citriasiana, P. citricarpa and P. paracitricarpa are heterothallic and incapable of selfing, disease management practices focused in preventing the occurrence of sexual reproduction could assist in the control of Citrus Black Spot and Citrus Tan Spot diseases. This study emphasizes the importance of studying Citrus-Phyllosticta interactions under evolutionary and genomic perspectives, as these approaches can provide valuable information about the association between Phyllosticta species and their hosts, and also serve as guidance for the improvement of disease management practices.

evolutionary biology↗

The architecture of metabolism maximizes biosynthetic diversity in the largest class of fungi

AbstractO_ST_ABSBackgroundC_ST_ABSEcological diversity in fungi is largely defined by metabolic traits, including the ability to produce secondary or "specialized" metabolites (SMs) that mediate interactions with other organisms. Fungal SM pathways are frequently encoded in biosynthetic gene clusters (BGCs), which facilitate the identification and characterization of metabolic pathways. Variation in BGC composition reflects the diversity of their SM products. Recent studies have documented surprising diversity of BGC repertoires among isolates of the same fungal species, yet little is known about how this population-level variation is inherited across macroevolutionary timescales. ResultsHere, we applied a novel linkage-based algorithm to reveal previously unexplored dimensions of diversity in BGC composition, distribution, and repertoire across 101 species of Dothideomycetes, which are considered to be the most phylogenetically diverse class of fungi and are known to produce many SMs. We predicted both complementary and overlapping sets of clustered genes compared with existing methods and identified novel gene pairs that associate with known secondary metabolite genes. We found that variation in BGC repertoires is due to non-overlapping BGC combinations and that several BGCs have biased ecological distributions, consistent with niche-specific selection. We observed that total BGC diversity scales linearly with increasing repertoire size, suggesting that secondary metabolites have little structural redundancy in individual fungi. ConclusionsWe project that there is substantial unsampled BGC diversity across specific families of Dothideomycetes, which will provide a roadmap for future sampling efforts. Our approach and findings lend new insight into how BGC diversity is generated and maintained across an entire fungal taxonomic class.

genomics↗