Biology subjects

Cassidy, L.

Publications and source records attributed to Cassidy, L..

13 recordsLinked to original sources

bioRxiv2026

An effector protein that protects a fungal pathogen from the plant microbiota during host colonisation

Zymoseptoria tritici is the causal agent of Septoria tritici blotch, one of the most economically important wheat diseases worldwide. One of the few cloned wheat resistance genes against Z. tritici, Stb6, recognizes the secreted fungal effector AvrStb6. Although AvrStb6 has been extensively studied as an avirulence determinant, its biological function during host colonization remains unknown. Based on the amphipathic nature of the predicted structure of AvrStb6, we hypothesized the effector to function as a membrane-active antimicrobial protein. However, in vitro growth inhibition assays demonstrated that AvrStb6 does not directly inhibit the growth of wheat-associated bacteria across multiple bacterial genera and experimental conditions. Instead, microbiome analyses of wheat apoplastic fluid revealed shifts in bacterial abundance associated with the presence or absence of AvrStb6 in a susceptible cultivar (without Stb6-induced resistance). This prompted us to further explore other putative microbiome-related functions of AvrStb6. In vitro confrontation assays further showed that deletion of AvrStb6 increased the sensitivity of Z. tritici to antagonistic wheat-associated bacteria, particularly Pseudomonas and Pantoea spp. This phenotype was conserved across independent fungal genetic backgrounds and across virulent and avirulent AvrStb6 variants. Fluorescence-based co-culture assays additionally showed reduced fungal growth and increased bacterial proliferation in the absence of AvrStb6 during interactions with Pseudomonas spp., but not with the control bacterium Escherichia coli. Finally, biochemical assays demonstrated that AvrStb6 associates with the Z. tritici cell wall in vitro, whereas other secreted fungal effectors do not. Collectively, our findings identify a previously uncharacterized role of AvrStb6 in protecting Z. tritici from antagonistic wheat-associated bacteria by associating with the fungal cell wall. More broadly, this work highlights that fungal effectors may contribute to microbial competition and ecological adaptation beyond their established roles in host immune recognition. Author summaryPlant pathogens secrete proteins that help them colonize their hosts. Some of these proteins are recognized by plant immune receptors and trigger disease resistance, but their original biological functions often remain unclear. We investigated the role of AvrStb6, a protein produced by the wheat pathogen that causes Septoria tritici blotch. AvrStb6 is best known because it is recognized by a wheat resistance gene, yet its contribution to fungal growth and survival has remained unknown. We initially tested whether AvrStb6 directly inhibits bacteria that live on wheat leaves, but found no evidence that it acts as an antimicrobial protein. Instead, we discovered that AvrStb6 influences interactions between the pathogen and wheat-associated bacteria. Fungal strains lacking AvrStb6 were more sensitive to several bacterial species that naturally occur in wheat, particularly members of the genera Pseudomonas and Pantoea. We also found that AvrStb6 can associate with the fungal cell wall, suggesting that it helps protect the pathogen during encounters with antagonistic bacteria. Our findings reveal an unexpected role for a fungal effector in microbial competition and show that pathogen proteins traditionally studied in the context of plant immunity can also influence interactions with other microbes. This work highlights the importance of considering the broader microbial community when studying plant-pathogen systems.

pathology↗

bioRxiv2025

Small ORF16 modulates the Mtr complex activity in Methanosarcina mazei Goe1 depending on the molecular hydrogen availability

Until recently, small open reading frame (sORF)-encoded proteins of fewer than 100 amino acids, have attracted increasing attention over the past decade after being overlooked due to limitations in conventional detection methodologies. While numerous previously unannotated sORFs have recently been identified in the mesophilic archaeal model system Methanosarcina mazei, the physiological roles of most of their encoded small proteins remain unknown. We report here the functional characterization of sORF16 encoded small protein MtrR (49 amino acids) and show that it localizes oligomerically at the cytoplasmic membrane. There, it interacts with and influences the activity of tetrahydrosarcinapterin S-methyltransferase (Mtr), a key membrane-bound complex involved in energy metabolism. In vitro interaction and in vivo copurification assays revealed interactions between MtrR and the Mtr-complex, and microscale thermophoresis showed specific interactions with the MtrA subunit. Mutant strains lacking sORF16 exhibited significantly impaired growth in the presence of molecular hydrogen (H2), irrespective of the carbon source. We posit that by modulating the activity of the Mtr-complex, MtrR enables the archaeon adapt to changing environmental H2 conditions.

microbiology↗

bioRxiv2024

Low-ABC: a robust demographic Inference from low-coverage whole-genome data through ABC

The reconstruction of past demographic histories relies on the pattern of genetic variation shown by the sampled populations; this means that an accurate estimation of genotypes is crucial for a reliable inference of past processes. A commonly adopted approach to reconstruct complex demographic dynamics is the Approximate Bayesian Computation (ABC) framework. It exploits coalescent simulations to generate the expected level of variation under different evolutionary scenarios. Demographic inference is then performed by comparing the simulated data with the genotypes called in the sampled individuals. Low sequencing coverage drastically affects the ability to reliably call genotypes, thus making low-coverage data unsuitable for such powerful inferential approaches. Here, we present Low-ABC, a new ABC approach to infer past population processes using low-coverage whole-genome data. Under this framework, both observed and simulated genetic variation are not directly compared using called genotypes, but rather obtained using genotype likelihoods to consider the uncertainty caused by the low sequencing coverage. We first evaluated the inferential power of this procedure in distinguishing among different demographic models and in inferring model parameters under different experimental conditions, including a wide spectrum of sequencing coverage (1x to 30x), number of individuals, number, and size of genetic loci. We showed that the use of genotype likelihoods integrated into an ABC framework provides a reliable inference of past population dynamics, thus making possible the application of model-based inference also for low-coverage data. We then applied Low-ABC to shed light on the relationship between Mesolithic and Early Neolithic European populations.

genomics↗

bioRxiv2024

Protein aggregation is a consequence of the dormancy-inducing membrane toxin TisB in Escherichia coli

Bacterial dormancy is a valuable strategy to survive stressful conditions. Toxins from chromosomal toxin-antitoxin systems have the potential to halt cell growth, induce dormancy and eventually promote a stress-tolerant persister state. Due to their potential toxicity when overexpressed, sophisticated expression systems are needed when studying toxin genes. Here, we present an optimized plasmid expression system for toxin genes based on an artificial 5 untranslated region. We applied the system to induce expression of the toxin gene tisB from the chromosomal type I toxin- antitoxin system tisB/istR-1 in Escherichia coli. TisB is a small hydrophobic protein that targets the inner membrane, resulting in depolarization and ATP depletion. We analyzed TisB-producing cells by RNA- sequencing and revealed several genes with a role in recovery from TisB-induced dormancy, including the chaperone genes ibpB, spy and cpxP. The importance of chaperone genes suggested that TisB- producing cells are prone to protein aggregation, which was validated by an in vivo fluorescent reporter system. We moved on to show that TisB is an essential factor for protein aggregation upon DNA damage mediated by the fluoroquinolone antibiotic ciprofloxacin in E. coli wild-type cells. The occurrence of protein aggregates correlates with an extended dormancy duration, which underscores their importance for the life cycle of TisB-dependent persister cells. ImportanceProtein aggregates occur in all living cells due to misfolding of proteins. In bacteria, protein aggregation is associated with cellular inactivity, which is related to dormancy and tolerance to stressful conditions, including the exposure to antibiotics. In Escherichia coli, the membrane toxin TisB is an important factor for dormancy and antibiotic tolerance upon DNA damage mediated by the fluoroquinolone antibiotic ciprofloxacin. Here, we show that TisB provokes protein aggregation, which in turn promotes a deeper state of cellular dormancy. Our study suggests that protein aggregation is a consequence of membrane toxins with the potential to affect the duration of dormancy and the outcome of antibiotic therapy.

microbiology↗

bioRxiv2024

A high coverage Mesolithic aurochs genome and effective leveraging of ancient cattle genomes using whole genome imputation.

Ancient genomic analyses are often restricted to utilising pseudo-haploid data due to low genome coverage. Leveraging low coverage data by imputation to calculate phased diploid genotypes that enable haplotype-based interrogation and SNP calling at unsequenced positions is highly desirable. This has not been investigated for ancient cattle genomes despite these being compelling subjects for archaeological, evolutionary and economic reasons. Here we test this approach by sequencing a Mesolithic European aurochs (18.49x; 9852-9376 calBC), an Early Medieval European cow (18.69x; 427-580 calAD), and combine these with published individuals; two ancient and three modern. We downsample these genomes (0.25x, 0.5x, 1.0x, 2.0x) and impute diploid genotypes, utilising a reference panel of 171 published modern cattle genomes that we curated for 21.7 million (Mn) phased single-nucleotide polymorphisms (SNPs). We recover high densities of correct calls with an accuracy of >99.1% at variant sites for the lowest downsample depth of 0.25x, increasing to >99.5% for 2.0x (transversions only, minor allele frequency (MAF) [≥]2.5%). The recovery of SNPs correlates with coverage, on average 58% of sites are recovered for 0.25x increasing to 87% for 2.0x, utilising an average of 3.5 million (Mn) transversions (MAF [≥]2.5%), even in the aurochs which is temporally and morphologically distinct from the reference panel. Our imputed genomes behave similarly to directly called data in allele-frequency-based analyses; for example consistently identifying runs of homozygosity >2mb, including a long homozygous region in the Mesolithic European aurochs.

genomics↗

bioRxiv2023

The apoplastic space of two wheat genotypes provide highly different environment for pathogen colonization: Insights from proteome and microbiome profiling

The intercellular space comprising the plant apoplast harbors a diverse range of microorganisms. The apoplastic interface represents the main compartment for interactions between proteins produced and secreted by the plant and the microbial endophytes. The outcomes of these interactions can play a role in plant cell wall metabolism, stress tolerance, and plant-pathogen resistance. So far the underlying factors that determine microbiota composition in the apoplast are not fully understood. However, it is considered that cell wall composition, nutrient availability, and the plant immune system are main determinants of microbiota composition. The plant immune system is considered to play a crucial role in modulating microbiota composition through the recognition of specific microbe-associated molecular patterns and the activation of defense responses. Hereby the plant may restrict non-beneficial microbial members and facilitate the propagation of beneficial ones. In this study, we investigated changes in the apoplastic environment during pathogen invasion using wheat as a model system. Infection of wheat with Zymoseptoria tritici, a fungal pathogen, resulted in notable alterations in the apoplast composition, reduced microbial diversity, and the accumulation of antimicrobial defense metabolites. Intriguingly, certain core microbial members persisted even in the presence of pathogen-induced immune responses, indicating their ability to evade or tolerate host immune defenses. To further explore these dynamics, we developed a protocol for extracting apoplastic fluids from wheat leaves and conducted proteome analyses to characterize the dynamic environment of the wheat leaves. Our findings uncovered a highly variable apoplastic environment that selects for microbes with specific adaptations. Notably, a core microbial community enriched in the resistant wheat cultivar exhibited antagonistic activity against Z. tritici, suggesting a potential role in conferring pathogen defense. This study advances our understanding of the dynamic interactions and adaptations of the wheat apoplastic microbiota during pathogen invasion, emphasizing the pivotal role of microbial interactions in pathogen defenses.

microbiology↗

bioRxiv2023

Closely related Bacteroides of the murine intestinal microbiota affect each other's growth positively or negatively

The mammalian intestine is a unique ecosystem for thousands of bacterial species and strains. How naturally coexisting bacteria of the microbiota interact with each other is not yet fully understood. Here, we isolated formerly coexisting, closely related strains of the genus Bacteroides from the intestines of healthy, wild-derived mice. The effect of one strain on another strains growth was tested in 169 pairs in vitro. We find a vast diversity of growth promoting and growth inhibiting activities. A strong positive effect was observed between two strains with differing metabolisms. Growth inhibition among a subset of strains was associated with the known bacterial toxin bacteroidetocin B. Across all strains, we observed growth promotion more often than growth inhibition. The effects were independent of two strains belonging to the same or different species. In some cases, one species differed in its effect on another according to host origin. These findings on obligate host-associated bacteria demonstrate that closely related and naturally coexisting strains have the potential to affect each others growth positively or negatively. These results have implications for our basic understanding of host-associated microbes and the design of synthetic microbial communities.

microbiology↗

bioRxiv2021

Climate and mountains shaped human ancestral genetic lineages

Extensive sequencing of modern and ancient human genomes has revealed that contemporary populations can be explained as the result of recent mixing of a few distinct ancestral genetic lineages1. But the small number of aDNA samples that predate the Last Glacial Maximum means that the origins of these lineages are not well understood. Here, we circumvent the limited sampling by modelling explicitly the effect of climatic changes and terrain on population demography and migrations through time and space, and show that these factors are sufficient to explain the divergence among ancestral lineages. Our reconstructions show that the sharp separation between African and Eurasian lineages is a consequence of only a few limited periods of connectivity through the arid Arabian peninsula, which acted as the gate out of the Arican continent. The subsequent spread across Eurasia was then mostly shaped by mountain ranges, and to a lesser extent deserts, leading to the split of European and Asians, and the further diversification of these two groups. A high tolerance to cold climates allowed the persistence at high latitudes even during the Last Glacial Maximum, maintaining a pocket in Beringia that led to the later, rapid colonisation of the Americas. The advent of food production was associated with an increase in movement2, but mountains and climate have been shown to still play a major role even in this latter period3,4, affecting the mixing of the ancestral lineages that we have shown to be shaped by those two factors in the first place.

genomics↗

bioRxiv2021

Inferring population histories for ancient genomes using genome-wide genealogies

Ancient genomes anchor genealogies in directly observed historical genetic variation, and contextualise ancestral lineages with archaeological insights into their geography and lifestyles. We introduce an extension of the Relate algorithm to incorporate ancient genomes and reconstruct the joint genealogies of 14 previously published high-coverage ancients and 278 present-day individuals of the Simons Genome Diversity Project. As the majority of ancient genomes are of lower coverage and cannot be directly built into genealogies, we additionally present a fast and scalable method, Colate, for inferring coalescence rates between low-coverage genomes without requiring phasing or imputation. Our method leverages sharing patterns of mutations dated using a genealogy to construct a likelihood, which is maximised using an expectation-maximisation algorithm. We apply Colate to 430 ancient human shotgun genomes of >0.5x mean coverage. Using Relate and Colate, we characterise dynamic population structure, such as repeated partial population replacements in Ireland, and gene-flow between early farmer and European hunter-gatherer groups. We further show that the previously reported increase in the TCC/TTC mutation rate, which is strongest in West Eurasians among present-day people, was already widespread across West Eurasia in the Late Glacial Period ~10k - 15k years ago, is strongest in Neolithic and Anatolian farmers, and is remarkably well predicted by the coalescence rates between other genomes and a 10,000-year-old Anatolian individual. This suggests that the driver of this signal originated in ancestors of ancient Anatolia >14k years ago, but was already absent by the Mesolithic and may indicate a genetic link between the Near East and European hunter-gatherer groups in the Late Paleolithic.

genomics↗

bioRxiv2020

A curated dataset of modern and ancient high-coverage shotgun human genomes.

Over the last few years, genome-wide data for a large number of ancient human samples have been collected. Whilst datasets of capture SNPs have been collated, high coverage shotgun genomes (which are relatively few but allow certain type of analyses not possible with ascertained captured SNPs) have to be reprocessed by individual groups from raw reads. This task is computationally intensive. Here, we release a dataset including 34 whole-genome sequenced samples, previously published and distributed worldwide, together with the genetic pipeline used to process them. The dataset contains 73,435,604 sites called across 18 ancient and 16 modern individuals and includes sequence data from four previously published ancient samples which we sequenced to higher coverage (10-18x). Such a resource will allow researchers to analyse their new samples with the same genetic pipeline and directly compare them to the reference dataset without re-processing published samples. Moreover, this dataset can be easily expanded to increase the sample distribution both across time and space.

genomics↗

bioRxiv2020

Small protein 26 interacts and enhances glutamine synthetase activity in Methanosarcina mazei

Small ORFs (sORF) encoded small proteins have been overlooked for a long time due to challenges in prediction and distinguishing between coding and non-coding predicted sORFs and in their biochemical detection and characterization. We report on the first biochemical and functional characterization of a small protein (sP26) in the archaeal model organism Methanosarcina mazei, comprising 23 amino acids. The corresponding encoding leaderless mRNA (spRNA26) is highly conserved within numerous Methanosarcina strains on the amino acid as well as on nucleotide level strongly arguing for a cellular function of the small protein. spRNA26 is significantly enhanced under nitrogen limitation, but also under oxygen and salt stress conditions. His-tagged sP26 was heterologously expressed and purified by fractionated ammonium sulfate precipitation, affinity chromatography and size exclusion centrifugation. Using independent biochemical approaches (pull-down by affinity chromatography followed by MS analysis, revers pull-down, microscale thermophoresis and size exclusion chromatography) we observed that sP26 interacts and forms complexes with M. mazei glutamine synthetase (GlnA1) with high affinity (app. KD = 45 +/- 14 {micro}M). Upon interaction with sP26, GlnA1 activity was significantly stimulated independently and in addition to the known activation by the metabolite 2-oxoglutarate. Besides strong interaction of sP26 with the PII-like protein GlnK1 was demonstrated (KD= 1.4 {micro}M +/- 0.9 {micro}M). On the basis of these findings, we hypothesize that in addition to 2-oxoglutarate, sP26 activates GlnA1 activity under nitrogen limitation most likely by stabilizing the dodecameric structure of GlnA1.

biochemistry↗

bioRxiv2019

Population genomics of the Viking world

The Viking maritime expansion from Scandinavia (Denmark, Norway, and Sweden) marks one of the swiftest and most far-flung cultural transformations in global history. During this time (c. 750 to 1050 CE), the Vikings reached most of western Eurasia, Greenland, and North America, and left a cultural legacy that persists till today. To understand the genetic structure and influence of the Viking expansion, we sequenced the genomes of 442 ancient humans from across Europe and Greenland ranging from the Bronze Age (c. 2400 BC) to the early Modern period (c. 1600 CE), with particular emphasis on the Viking Age. We find that the period preceding the Viking Age was accompanied by foreign gene flow into Scandinavia from the south and east: spreading from Denmark and eastern Sweden to the rest of Scandinavia. Despite the close linguistic similarities of modern Scandinavian languages, we observe genetic structure within Scandinavia, suggesting that regional population differences were already present 1,000 years ago. We find evidence for a majority of Danish Viking presence in England, Swedish Viking presence in the Baltic, and Norwegian Viking presence in Ireland, Iceland, and Greenland. Additionally, we see substantial foreign European ancestry entering Scandinavia during the Viking Age. We also find that several of the members of the only archaeologically well-attested Viking expedition were close family members. By comparing Viking Scandinavian genomes with present-day Scandinavian genomes, we find that pigmentation-associated loci have undergone strong population differentiation during the last millennia. Finally, we are able to trace the allele frequency dynamics of positively selected loci with unprecedented detail, including the lactase persistence allele and various alleles associated with the immune response. We conclude that the Viking diaspora was characterized by substantial foreign engagement: distinct Viking populations influenced the genomic makeup of different regions of Europe, while Scandinavia also experienced increased contact with the rest of the continent.

genetics↗

bioRxiv2019

Temporal inhibition of autophagy reveals segmental reversal of aging with increased cancer risk

Autophagy is an important cellular degradation pathway with a central role in metabolism as well as basic quality control, two processes inextricably linked to aging. A decrease in autophagy is associated with increasing age, yet it is unknown if this is causal in the aging process, and whether autophagy restoration can counteract these aging effects. Here we demonstrate that systemic autophagy inhibition induces the premature acquisition of age-associated phenotypes and pathologies in mammals. Remarkably, autophagy restoration provides a near complete recovery of morbidity and a significant extension of lifespan, however, at the molecular level this rescue appears incomplete. Importantly autophagy-restored mice still succumb earlier due to an increase in spontaneous tumor formation. Thus our data suggest that chronic autophagy inhibition confers an irreversible increase in cancer risk and uncovers a biphasic role of autophagy in cancer development being both tumor suppressive and oncogenic, sequentially.

cancer biology↗