Biology subjects

Croll, D.

Publications and source records attributed to Croll, D..

At least 37 records · Page 2Linked to original sources

bioRxiv2024

Revisiting the evolution and function of NIP2 parologs in the Rhynchosporium spp. complex

The fungus Rhynchosporium commune, the causal agent of barley scald disease, contains a paralogous effector gene family called Necrosis-Inducing Protein 2 (NIP2) and NIP2-like protein (NLP). However, the function and full genomic context of these paralogs remains uncharacterised. Here we present a highly contiguous long-read assembly of R. commune WAI453. Using this assembly, we show that the duplication of the NIP2 and NLP gene families is distributed throughout the genome and pre-dates the speciation of R. commune from its sister species. Some NIP2 paralogs have subsequently been lost or are absent in the sister species. The diversity of these paralogs was examined from R. commune global populations and their expression was analysed during in planta and in vitro growth to analyse the importance of these genes during infection. The majority of NIP2 and NLP paralogs in WAI453 genome were significantly upregulated during plant infection suggesting that the NIP2 and NLP genes harbour virulence roles. An attempt to further characterise function of NIP2.1 by infiltrating purified protein into barley leaves did not induce necrosis questioning its previously reported role as an inducer of host cell death. Together these results suggest that the NIP2 effector family does play a role during infection of barley, however the exact function of NIP2, like many effectors, remains uncharacterised.

plant biology↗

bioRxiv2024

Diversification, loss, and virulence gains of the major effector AvrStb6 during continental spread of the wheat pathogen Zymoseptoria tritici

Interactions between plant pathogens and their hosts are highly dynamic and mainly driven by pathogen effectors and plant receptors. Host-pathogen co-evolution can cause rapid diversification or loss of pathogen genes encoding host-exposed proteins. The molecular mechanisms that underpin such sequence dynamics remains poorly investigated at the scale of entire pathogen species. Here, we focus on AvrStb6, a major effector of the global wheat pathogen Zymoseptoria tritici, evolving in response to the cognate receptor Stb6, a resistance widely deployed in wheat. We comprehensively captured effector gene evolution by analyzing a global thousand-genome panel using reference-free sequence analyses. We found that AvrStb6 has diversified into 59 protein isoforms with a strong association to the pathogen spreading to new continents. Across Europe, we found the strongest differentiation of the effector consistent with high rates of Stb6 deployment. The AvrStb6 locus showed also a remarkable diversification in transposable element content with specific expansion patterns across the globe. We detected the AvrStb6 gene losses and evidence for transposable element-mediated disruptions. We used genome-wide association mapping data to predict virulence emergence and found marked increases in Europe, followed by spread to subsequently colonized continents. Finally, we genotyped French bread wheat cultivars for Stb6 and monitored resistant cultivar deployment concomitant with AvrStb6 evolution. Taken together, our data provides a comprehensive view of how a rapidly diversifying effector locus can undergo large-scale sequence changes concomitant with gains in virulence on resistant cultivars. The analyses highlight also the need for large-scale pathogen sequencing panels to assess the durability of resistance genes and improve the sustainability of deployment strategies. Author summaryInteractions between plants and their specialized pathogens are often mediated by a sophisticated molecular dialogue. Effectors produced by pathogens serve to manipulate the host but may also be used by the host to trigger defence mechanisms upon recognition. Deploying plants carrying a resistance gene against a specific effector could lead to rapid adaptation in the pathogen. Here, we unraveled such dynamics at the scale of the global distribution range of the fungal wheat pathogen Zymoseptoria tritici. The effector is encoded by the gene AvrStb6 located in a polymorphic region of a chromosome near the telomere. We find selfish elements (i.e. transposable elements) repeatedly inserted nearby the gene, which has likely facilitated the rapid sequence evolution. The effector diversified among continents, and we could predict that the sequence changes likely helped escape recognition by the host receptor. Our study provides one of the most comprehensive views how a crop pathogen diversified a major effector in response to host resistance factors. Such studies facilitate devising more durable deployment strategies of host resistance in order to maintain crop yield.

genomics↗

bioRxiv2024

Giant transposons promote strain heterogeneity in a major fungal pathogen

Fungal infections are difficult to prevent and treat in large part due to strain heterogeneity which confounds diagnostic predictability. Yet the genetic mechanisms driving strain-to-strain variation remain poorly understood. Here, we determined the extent to which Starships--giant transposons capable of mobilizing numerous fungal genes--generate genetic and phenotypic variability in the opportunistic human pathogen Aspergillus fumigatus. We analyzed 519 diverse strains, including 11 newly sequenced with long-read technology and multiple isolates of the same reference strain, to reveal 20 distinct Starships that are generating genomic heterogeneity over timescales relevant for experimental reproducibility. Starship-mobilized genes encode diverse functions, including known biofilm-related virulence factors and biosynthetic gene clusters, and many are differentially expressed during infection and antifungal exposure in a strain-specific manner. These findings support a new model of fungal evolution wherein Starships help generate variation in genome structure, gene content and expression among fungal strains. Together, our results demonstrate that Starships are a previously hidden mechanism generating genotypic and, in turn, phenotypic heterogeneity in a major human fungal pathogen. ImportanceNo "one size fits all" option exists for treating fungal infections in large part due to genetic and phenotypic variability among strains. Accounting for strain heterogeneity is thus fundamental for developing efficacious treatments and strategies for safeguarding human health. Here, we report significant progress towards achieving this goal by uncovering a previously hidden mechanism generating heterogeneity in the human fungal pathogen Aspergillus fumigatus: giant transposons called Starships that span dozens of kilobases and mobilize fungal genes as cargo. By conducting a systematic investigation of these unusual transposons in a single fungal species, we demonstrate their contributions to population-level variation at the genome, pangenome and transcriptome levels. The Starship compendium we develop will not only help predict variation introduced by these elements in laboratory experiments but will serve as a foundational resource for determining how Starships impact clinically-relevant phenotypes, such as antifungal resistance and pathogenicity.

microbiology↗

bioRxiv2024

A highly contiguous reference genome for the Alpine ibex (Capra ibex)

Species conservation efforts can be threatened by deleterious mutation accumulation following population contractions. In addition to de novo mutations, a significant source of genetic load could be deleterious variants introduced into a population through hybridization. Hence, even successfully restored species may face deleterious mutation swamping due to hybridization with an abundant and closely related species. The outcomes of such hybridization events are poorly understood given the complex interplay of introduced adaptive and maladaptive variation. Here, we analyze this potential risk for Alpine ibex (Capra ibex), a flagship species of large mammal restoration in the Alps. Near-extinction two centuries ago resulted in exceptionally low genome-wide diversity and increased inbreeding, which facilitated the purging of severe deleterious mutations but accumulation of less severe ones. We produced a highly contiguous chromosome-level genome assembly of the Alpine ibex capturing structural divergence from its closest domestic species, the domestic goat (Capra hircus) known to hybridize with Alpine ibex Genome sequencing of eight recent ibex-goat hybrids and backcrosses from two hybrid swarms in Northern Italy revealed highly diverse recombinants and an average of 30 masked, predicted loss-of-function (LOF) mutations per hybrid compared to 10 in non-hybrid Alpine ibex. This exposes Alpine ibex to further backcrosses, exposing their vulnerable gene pool to an influx of hybridization load. Individual-based genomic simulations suggest that such LOF load would return to pre- hybridization levels with a lag of over 100 generations after gene flow subsides. Hybridization could also disrupt local adaptation in the recipient species. Our work provides a direct estimate of hybridization load and, by this, informs on the complexity of managing endangered gene pools in the face of hybridization.

evolutionary biology↗

bioRxiv2024

Landscape-scale endophytic community analyses in replicated grapevine stands reveal that dieback disease is not caused by specific fungal communities

Tree diebacks are complex and multi-factorial diseases with suspected biotic and abiotic components. Microbiome effects on plant health are challenging to assess due to the complexity of fungal and bacterial communities. Grapevine wood dieback is the main threat to sustainable production worldwide and no causality with microbial species has been established. Here, we aimed to test the hypothesis that grapevine esca disease progression has reproducible drivers in the fungal species community. For this, we analyzed a set of 21 vineyards planted simultaneously with a single susceptible cultivar to provide replication at the landscape scale. We sampled a total of 496 plants across vineyards in two different years to perform deep amplicon sequencing analyses of the fungal communities inhabiting grapevine trunks. The communities were highly diverse with a total of 4,129 amplified sequence variants assigned to 697 distinct species. Individual plants varied in fungal community composition depending on the year of sampling, vineyard location, and disease status. However, we detect no specific fungal species driving symptom development across the vineyards contrary to long-standing expectations. Our study shows how landscape-scale replicated field surveys allow for powerful hypothesis-testing for complex dieback disease drivers and prioritize future research towards additional factors.

microbiology↗

bioRxiv2024

Million years old recombination suppression and balancing selection in a region linked to the mating-type locus in the invasive chestnut blight fungal pathogen Cryphonectria parasitica

Recombination suppression can evolve in sex or mating-type chromosomes, or in autosomal supergenes, with different haplotypes being maintained by balancing selection. In the invasive chestnut blight fungus Cryphonectria parasitica, a genomic region was suggested to lack recombination and to be partially linked to the mating-type (MAT) locus based on segregation analyses. Using hundreds of available C. parasitica genomes and generating new high-quality genome assemblies, we show that a ca. 1.2 Mb genomic region proximal to the mating-type locus lacks recombination, with the segregation of two highly differentiated haplotypes in balanced proportions in invasive populations. High-quality genome assemblies further revealed an inversion in one of the haplotypes in the invaded range. The two haplotypes were estimated to have diverged 1.5 million years ago, and each harboured specific genes, some of which likely belonging to Starship elements, that are large mobile elements, mobilized by tyrosine recombinases, able to move accessory genes, and involved in adaptation in multiple fungi. The MAT-proximal region carried genes upregulated under virus infection or vegetative incompatibility reaction. In the native range, the MAT-proximal region also appeared to have a different evolutionary history than the rest of the genome. In all continents, the MAT-Proximal region was enriched in non-synonymous substitutions, in gene presence/absence polymorphism, in tyrosine recombinases and in transposable elements. This study thus sheds light on a case of a large non-recombining region partially linked to a mating compatibility locus, with likely balancing selection maintaining differentiated haplotypes, possibly involved in adaptation in a devastating tree pathogen.

evolutionary biology↗

bioRxiv2023

Detection of genetically modified organisms using highly multiplexed amplicon sequencing

The circulation of products based on genetically modified (GM) organisms is highly regulated by some governments having implemented strict rules on the breeding, planting, marketing, labelling, and trading of such products. To ensure compliance, accurate detection methods for GM events are necessary, along with assurance that GM material falls within relevant threshold levels. The increasing complexity and potential of undocumented GM are a growing challenge for genetic screening. In this study, we developed and assessed a highly multiplexed amplicon sequencing assay for the detection of GM events based on a microfluidics platform and next-generation sequencing (NGS). To probe GM events comprehensively, we designed a total of 230 new amplicons to cover flanking, promoter, junction and coding sequences of GM sequences. In addition, we designed and implemented parallel amplification of ribosomal and chloroplast markers to define crop species identity from potentially mixed samples. Using reference GM material of 11 crop species and multiple amplicons, we successfully detected the presence of 10 known modifications per GM event. We also find that reported flanking sequences of GM events may not be all useful for diagnostic. We assessed the assays potential to detect GM events in mixed samples as well as in highly diluted DNA. Finally, we performed a prospective search of potentially undocumented GM events in plant material. Our microfluidics-based amplicon GM detection approach fills important gaps in detecting potentially undocumented and complex GM events by recovering a wide range of specific amplicon sequences for evaluation. Integrating highly parallel amplicon assays in GM screening efforts should be an effective complement to aid post-market monitoring and regulatory compliance efforts.

genomics↗

bioRxiv2023

A systematic screen for co-option of transposable elements across the fungal kingdom

How novel protein functions are acquired is a central question in molecular biology. Key paths to novelty include gene duplications, recombination or horizontal acquisition. Transposable elements (TEs) are increasingly recognized as a major source of novel domain-encoding sequences. However, the impact of TE coding sequences on the evolution of the proteome remains understudied. Here, we analyzed 1,237 genomes spanning the phylogenetic breadth of the fungal kingdom. We scanned proteomes for evidence of co-occurrence of TE-derived domains along with other conventional protein functional domains. We detected more than 13,000 predicted proteins containing potentially TE-derived domain, of which 825 were identified in more than five genomes, indicating that many host-TE fusions may have persisted over long evolutionary time scales. We used the phylogenetic context to identify the origin and retention of individual TE-derived domains. The most common TE-derived domains are helicases derived from Academ, Kolobok or Helitron. We found putative TE co-options at a higher rate in genomes of the Saccharomycotina, providing an unexpected source of protein novelty in these generally TE depleted genomes. We investigated in detail a candidate host-TE fusion with a heterochromatic transcriptional silencing function that may play a role in TE and gene regulation in ascomycetes. The affected gene underwent multiple full or partial losses within the phylum. Overall, our work establishes a kingdom-wide view of how domains likely derived from TEs contribute to the evolution of protein functions.

evolutionary biology↗

bioRxiv2023

Copy number variation introduced by a massive mobile element underpins global thermal adaptation in a fungal wheat pathogen

Copy number variation (CNV) can drive rapid evolution in changing environments. In microbial pathogens, such adaptation is a key factor underpinning epidemics and colonization of new niches. However, the genomic determinants of such adaptation remain poorly understood. Here, we systematically investigate CNVs in one of the largest to date genome sequencing dataset spanning a worldwide collection of 1109 genomes from the major wheat pathogen Zymoseptoria tritici. We found overall strong purifying selection acting on most CNVs. Genomic defense mechanisms likely accelerated gene loss over episodes of continental colonization. Local adaptation along climatic gradients was facilitated by CNVs affecting secondary metabolite production and gene loss in general. One of the strongest candidates for climatic adaptation is a highly conserved gene of the NAD-dependent Sirtuin family. The Sirtuin CNV locus localizes to an [~]68-kb Starship mobile element unique to the species carrying genes highly expressed during plant infection. The element has likely lost the ability to transpose, demonstrating how the ongoing domestication of cargo-carrying selfish elements can contribute to selectable variation within populations. Our work highlights how standing variation in gene copy numbers at the global scale is a major factor driving climatic and metabolic adaptation in microbial species.

evolutionary biology↗

bioRxiv2023

The expression landscape and pangenome of long non-coding RNA in the fungal wheat pathogen Zymoseptoria tritici

Long non-coding RNAs (lncRNAs) are regulatory molecules interacting in a wide array of biological processes. LncRNAs in fungal pathogens can be responsive to stress and play roles in regulating growth and nutrient acquisition. Recent evidence suggests that lncRNAs may also play roles in virulence, such as regulating pathogenicity-associated enzymes and on-host reproductive cycles. Despite the importance of lncRNAs, only few model fungi have well-documented inventories of lncRNA. In this study, we apply a machine-learning based pipeline to predict high-confidence lncRNA candidates in Zymoseptoria tritici, an important global pathogen of wheat impacting global food production. We analyzed genomic features of lncRNAs and the most likely associated processes through analyses of expression over a host infection cycle. We find that lncRNAs are frequently expressed during early infection, before the switch to necrotrophic growth. They are mostly located in facultative heterochromatic regions, which are known to contain many genes associated with pathogenicity. Furthermore, we find that lncRNAs are frequently co-expressed with genes that may be involved in responding to host signals, such as those responses to oxidative stress. Finally, we assess pangenome features of lncRNAs using four additional reference-quality genomes. We find evidence that the repertoire of expressed lncRNAs varies substantially between individuals, even though lncRNA loci tend to be shared at the genomic level. Overall, this study provides a repertoire and putative functions of lncRNAs in Z. tritici enabling molecular genetics and functional analyses in an important pathogen. Impact statementLong non-coding RNAs (lncRNAs) serve distinct roles from messenger RNA. Despite not encoding proteins, lncRNAs can control important cellular processes such as growth and response to stress. In fungal pathogens, lncRNAs are particularly interesting because they can influence how pathogens infect and harm their hosts. Yet, only very few fungal pathogens have high-quality repertoires of lncRNA established. Here, we used machine learning to identify lncRNA in the major wheat pathogen Zymoseptoria tritici. We found that lncRNAs are highly active during the early stages of infection, before the pathogen switches to necrotrophic growth. These lncRNAs are mainly located in regions of the genome associated with pathogenicity. The repertoire of expressed lncRNAs varies substantially among individuals highlighting the potential for pathogen adaptation based on variation in lncRNAs. By expanding our knowledge of lncRNAs in important pathogen models, we enable research to comprehensively investigating their roles across fungi.

genomics↗

bioRxiv2023

High-resolution profiling of bacterial and fungal communities using pangenome-informed taxon-specific amplicons and long-read sequence

High-throughput sequencing technologies have greatly advanced our understanding of microbiomes, but resolving microbial communities at species and strain levels remains challenging. Here, we developed and validated a pipeline for designing, multiplexing, and sequencing highly polymorphic taxon-specific long-read amplicons. We focused on the wheat microbiome as a proof-of-principle and demonstrate unprecedented resolution for the wheat-associated Pseudomonas microbiome and the ubiquitous fungal pathogen Zymoseptoria tritici. We achieved an order of magnitude higher phylogenetic resolution compared to existing ribosomal amplicons. The designed amplicons accurately capture species and strain diversity outperforming full-length 16S and ITS amplicons. Furthermore, we tracked microbial communities in the wheat phyllosphere across time and space to establish fine-grained species and strain-specific dynamics. To expand the utility of our approach, we generated pangenome-informed amplicon templates for additional key bacterial and fungal genera. Pangenome-informed microbiome profiling enables the tracking of microbial community dynamics in complex environments and overcomes limitations in phylogenetic resolution.

microbiology↗

bioRxiv2023

Genome-wide expression QTL mapping reveals the highly dynamic regulatory landscape of a major wheat pathogen

BackgroundIn agricultural ecosystems, outbreaks of diseases are frequent and pose a significant threat to food security. A successful pathogen undergoes a complex and well-timed sequence of regulatory changes to avoid detection by the host immune system, hence well-tuned gene regulation is essential for survival. However, the extent to which the regulatory polymorphisms in a pathogen population provide an adaptive advantage is poorly understood. ResultsWe used Zymoseptoria tritici, one of the most important pathogens of wheat, to generate a genome-wide map of regulatory polymorphism governing gene expression. We investigated genome-wide transcription levels of 146 strains grown under nutrient starvation and performed expression quantitative trait loci (eQTL) mapping. We identified cis-eQTLs for 65.3% of all genes and the majority of all eQTL loci are within 2kb upstream and downstream of the transcription start site (TSS). We also show that polymorphism in different gene elements contributes disproportionally to gene expression variation. Investigating regulatory polymorphism in gene categories, we found an enrichment of regulatory variants for genes predicted to be important for fungal pathogenesis but with comparatively low effect size, suggesting a separate layer of gene regulation involving epigenetics. We also show that previously reported trait-associated SNPs in pathogen populations are frequently cis-regulatory variants of neighboring genes with implications for the trait architecture. ConclusionsOverall, our study provides extensive evidence that single populations segregate large-scale regulatory variation and are likely to fuel rapid adaptation to resistant hosts and environmental change.

genomics↗

bioRxiv2023

Recurrent chromosome destabilization through repeat-mediated rearrangements in a fungal pathogen

Genomic instability caused by chromosomal rearrangements has severe consequences for organismal fitness and progression of cancerous cell lines. The triggers of destabilized chromosomes remain poorly understood but likely co-locate with fragile sites. Here, we retrace a runaway chromosomal degeneration process observed in a fungal pathogen using telomere-to-telomere assemblies across an experimental progeny. We show that the same fragile sites triggered reproducible, large-scale rearrangements through non-allelic recombination. Across our four-generation progeny, chromosomal rearrangements were accompanied by non-disjunction events leading to aneuploid progeny with up to four chromosomal copies. We identify a specific transposable element family co-locating with fragile sites, likely triggering ongoing repeated chromosomal degeneration. The element has recently been associated with lower virulence of the pathogen and has undergone an expansion of copy numbers across the genome. Chromosome sequences are also targeted by repeat-induced point mutation, a genome defense mechanism actively leading to hypermutation on duplicated sequences. Our work identifies the exact sequence triggers that initiate chromosome instability and perpetuate degenerative cycles. Dissecting proximate causes leading to runaway chromosomal degeneration could expand our understanding of chromosomal evolution beyond fungal pathogens.

genomics↗

bioRxiv2023

A systemic approach allows to identify the pedoclimatic conditions most critical in the susceptibility of a grapevine cultivar to esca/Botryosphaeria dieback

Esca and/or Botryosphaeria dieback (esca-BD) are two of the most destructive grapevine trunk diseases in the world, disease complex which remains poorly understood. As some vine cultivars show highly variable susceptibility to esca-BD, we designed a four-year experiment to identify which environmental factors influence the expression of the disease. We collected epidemiological and physiological data once a year for four consecutive years in 19 vineyard plots located in four wine-growing regions of Western Switzerland. We compared these data with climatic data obtained from weather stations for these same plots for four years and over the long term. We also estimated the soil water holding capacity of each plot. Confounding factors were minimal because all vineyards were planted in 2003 with the same cultivar and all plants grafted in the same nursery with genetically homogeneous grafting material. Principal component and regression analyses of combined epidemiological, biotic and pedoclimatic data identified a positive correlation between soil water retention capacity and plant mortality due to esca-BD. These analyses also showed that leaf disease symptoms and apoplexy are more frequent when cold, wet periods are followed - or alternate with - hot, dry periods, and that apoplexy occurs more frequently when weather conditions change abruptly (cold, wet May followed by a hot June) and deviate significantly from long-term climatic conditions. Regression analyses show that the soil water holding capacity impacts less the disease expression when the climate is warm and dry, both at the regional and at year-specific levels. Having identified the most important environmental factors towards expression of esca-BD, this study allows recommendations to be given to the winegrowers for the cultivar studied but can also be used as a model to identify the environmental factors that influence the expression of fungal diseases in other grapevine cultivars, other grapevine trunk diseases and even in other woody plants.

plant biology↗

bioRxiv2023

Improved gene annotation of the fungal wheat pathogen Zymoseptoria tritici based on combined Iso-Seq and RNA-Seq evidence

Despite large omics datasets, the establishment of a reliable gene annotation is still challenging for eukaryotic genomes. Here, we used the reference genome of the major fungal wheat pathogen Zymoseptoria tritici (isolate IPO323) as a case study to develop methods to improve eukaryotic gene prediction. Four previous IPO323 annotations identified 10,933 to 13,260 gene models, but only one third of these coding sequences (CDS) have identical structures. To resolve these discrepancies and improve gene models, we generated full-length transcripts using long-read sequencing. This dataset was used together with other evidence (RNA-Seq transcripts and protein sequences) to generate novel ab initio gene models. The selection of the best structure among novel and existing gene models was performed according to transcript and protein evidence using InGenAnnot, a novel bioinformatics suite. Overall, 13,414 re-annotated gene models (RGMs) were predicted, including 671 new genes among which 53 encoded effector candidates. This process corrected many of the errors (15%) observed in previous gene models (coding sequence fusions, false introns, missing exons). While fungal genomes have poor annotations of untranslated regions (UTRs), our Iso-Seq long-read sequences outlined 5 and 3UTRs for 73% of the RGMs. Alternative transcripts were identified for 13% of RGMs, mostly due to intron retention (75%), likely corresponding to unprocessed pre-mRNAs. A total of 353 genes displayed alternative transcripts with combinations of previously predicted or novel exons. Long non-coding transcripts (lncRNAs) and double-stranded RNAs from two fungal viruses were also identified. Most lncRNAs corresponded to antisense transcripts of genes (52%). lncRNAs that were up or down regulated during infection were enriched in antisense transcripts (70%), suggesting their involvement in the control of gene expression. Our results showed that combining different ab initio gene predictions and evidence-driven curation using InGenAnnot improved the quality of gene annotations of a compact eukaryotic genome. Our analysis also provided new insights into the transcriptional landscape of Z. tritici, helping develop an increasingly complex picture of its biology.

genomics↗

bioRxiv2023

Recent reactivation of a pathogenicity-associated transposable element triggers major chromosomal rearrangements in a fungal wheat pathogen

Transposable elements (TEs) are key drivers of genomic variation contributing to recent adaptation in most species. Yet, the evolutionary origins and insertion dynamics within species remain poorly understood. We recapitulate the spread of the pathogenicity-associated Styx element across five species that last diverged [~]11,000 years ago. We show that the element likely originated in the Zymoseptoria fungal pathogen genus and underwent multiple independent reactivation events. Using a global 900-genome panel of the wheat pathogen Z. tritici, we assess Styx copy number variation and identify renewed transposition activity in Oceania and South America. We show that the element can mobilize to create additional Styx copies in a four-generation pedigree. Importantly, we find that new copies of the element are not affected by genomic defenses revealing a recent loss of control against the element. Styx copies are preferentially located in recombination breakpoints and likely triggered multiple types of large chromosomal rearrangements. Taken together, we establish the origin, diversification, and reactivation of a highly active TE with major consequences for chromosomal integrity and the expression of disease.

genomics↗

bioRxiv2023

Population-level transposable element expression dynamics influence trait evolution in a fungal crop pathogen

Rapid adaptive evolution is driven by strong selection pressure acting on standing genetic variation within populations. How adaptive genetic variation is generated within species and how such variation influences phenotypic trait expression is often not well understood though. Here, we focused on recent activity of transposable elements (TEs) using deep population genomics and transcriptomics analyses of a fungal plant pathogen with a highly active content of TEs in the genome. Zymoseptoria tritici causes one of the most damaging diseases on wheat, with recent adaptation to the host and environment being facilitated by TE-associated mutations. We obtained genomic and RNA-sequencing data from 146 isolates collected from a single wheat field. We established a genome-wide map of TE insertion polymorphisms in the population by analyzing recent TE insertions among individuals. We quantified the locus-specific transcription of individual TEs within the population and revealed considerable variation in transcription across individual TE loci. About 20% of all TE copies show activity in the genome implying that genomic defenses such as repressive epigenetic marks and repeat-induced polymorphisms are ineffective at preventing the proliferation of TEs in the genome. A quarter of recent TE insertions are associated with expression variation of neighboring genes providing broad potential to influence trait expression. We indeed found that TE insertions are likely responsible for variation in virulence on the host and secondary metabolite production. Our study emphasizes how TE-derived polymorphisms segregate even in individual populations and broadly underpin transcription and adaptive trait variation in a species.

genomics↗

bioRxiv2022

Divergent outcomes of direct conspecific pathogen strain interaction and plant co-infection suggest consequences for disease dynamics

Plant diseases are often caused by co-infections of multiple pathogens with the potential to aggravate disease severity. In genetically diverse pathogen species, co-infections can also be caused by multiple strains of the same species. However, the outcome of such mixed infections by different conspecific genotypes is poorly understood. The interaction among pathogen strains with complex lifestyles outside and inside of the host are likely shaped by diverse traits including metabolic capacity and the ability to overcome host immune responses. To disentangle competitive outcomes among pathogen strains, we investigated the fungal wheat pathogen Zymoseptoria tritici. The pathogen infects wheat leaves in complex strain assemblies and highly diverse populations persist between growing seasons. We investigated a set of 14 genetically different strains collected from the same field to assess both competitive outcomes under culture conditions and on the host. Growth kinetics of co-cultured strains significantly deviated from single strain expectations indicating competitive exclusion depending on the strain genotype. We found similarly complex outcomes of lesion development on plant leaves following co-infections by the same pairs of strains. While some pairings suppressed overall damage to the host, other combinations exceeded expectations of lesion development based on single strain outcomes. Strain competition outcomes in absence of the host were poor predictors of outcomes on the host suggesting that the interaction with the plant immune system adds significant complexity. Intraspecific co-infection dynamics likely make important contributions to disease severity and need to be integrated for a more complete understanding of host-pathogen dynamics in the environment. ImportancePlants are often attacked by a multitude of pathogens simultaneously. Different pathogen species can either facilitate or constrain the colonization by other pathogen species. Hence, natural infections are often the outcome of complex interactions between pathogens. To what extent the simultaneous colonization of genetically different strains of the same pathogen species matters for disease outcomes remains largely unclear though. We assessed the outcome of interactions between strains of the fungal wheat pathogen Zymoseptoria tritici. In absence of the host, strains cultured in pairs were growing differently compared to strains cultured alone. When infecting wheat leaves either with single or pairs of strains, we found also highly variable outcomes. Importantly, interactions between strains outside of the host were only poorly explaining how strains would interact when on the host. This suggests that pathogen strains engage in complex interactions shaped by their environment. Understanding the nature of such interactions within pathogen species will improve our ability to manage crop plant infections in the wild.

microbiology↗