Biology subjects

Pereira, D.

Publications and source records attributed to Pereira, D..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

Molecular Insights into ANPEP in Gastric Adenocarcinoma

Alanyl aminopeptidase (ANPEP) has been implicated in various cancers, but its specific role in gastric adenocarcinoma (GC) remains incompletely understood. This study analyzed ANPEP gene expression in gastric cancer (GC), peritumoral tissue (PTT), metaplasia (M), and normal tissue (N). Total RNA was extracted, libraries were prepared and sequenced on the Illumina NextSeq 500. Data was processed using the nf-core/rnaseq pipeline. Transcript quantifications were imported with tximport and normalized using DESeq2. Differential expression (|log2FC| >2; adj. p < 0.05) and Kruskal-Wallis tests identified key genes. ANPEP was significantly upregulated in GC, PTT, and M compared to normal tissue (p < 0.01), suggesting its involvement in early mucosal transformation and malignant progression. Heatmap analysis revealed upregulation of genes related to immune function and oxidative stress, indicating an immunosuppressive and apoptosis-resistant tumor microenvironment. Correlation analyses identified strong positive associations between ANPEP and genes involved in cytoskeletal remodeling, immune modulation, and metabolic regulation, suggesting that ANPEP supports both the invasive potential of tumor cells and the establishment of an immunosuppressive niche. These findings position ANPEP as a promising biomarker for early detection and a candidate for targeted therapies.

cancer biology↗

bioRxiv2025

Micro-mechanical approaches to characterize tip growth: Insights into Root Hair Elasto-Viscoplastic Properties.

Root hairs are outgrowths of the epidermal cells of plant roots. They increase the roots exchange surface with the soil and provide it with good anchorage in the soil. Root hairs are an emblematic model of apical growth, a process also used by yeasts and hyphae to invade their environment. From a mechanical perspective, the root hair is considered as an elastic cylinder under pressure, closed by a dome that behaves like a yield fluid. We introduce here two innovative mechanical setups and protocols to characterize the mechanical properties of single growing root hairs in Arabidopsis thaliana. In the first setup, root hairs grow against an elastic obstacle until buckling. By measuring the critical buckling force, we determine the surface modulus and estimate the Youngs modulus of the cell wall, which aligns with previous measurements. Using a 1D elasto-viscoplastic model of root hair growth, we assess the excess pressure beyond the yield threshold (the driver of tip growth) and estimate the axial stiffness of the root hair, reflecting its elastic resistance to compression. For the second protocol, we designed a setup where a single root hair grows against a cantilever with variable stiffness, a technique adapted from our earlier work on rigidity sensing by animal cells. This method provides an independent estimate of the root hairs axial stiffness, confirming our initial findings and suggesting that this stiffness primarily involves tip compression and depends mainly on turgor pressure, at least within the low deformation regime explored.

biophysics↗

bioRxiv2025

Intratumoral Heterogeneity of Vimentin Modulates Nuclear Mechanotransduction, DNA Damage Response and Cancer Cell Survival

Vimentin, a major intermediate filament protein, is essential for maintaining cellular integrity and regulating cytoskeletal dynamics. Its upregulation is a hallmark of epithelial-to-mesenchymal transition (EMT), a process that enhances cancer cell migration, invasion, and metastatic potential. However, single-cell transcriptomic analyses of glioblastoma, the most common and aggressive primary brain tumor, reveal that vimentin expression exhibits significant intratumoral heterogeneity, reflecting diverse cellular subpopulations that may contribute to tumor plasticity, therapy resistance, and disease progression. Here, we show that the absence of vimentin alters nuclear mechanotransduction in response to compression, leading to chromatin remodelling and profound changes in gene expression in cancer cells. Remarkably, we demonstrate that external compressive forces, akin to vimentin deficiency, disrupt DNA damage response pathways. This impairment compromises DNA damage sensing and repair, bypassing DNA damage checkpoints and apoptosis. Consequently, vimentin-negative tumor cells exhibit increased survival in response to physical stress and DNA damage, potentially driving radioresistance and further amplifying intratumoral heterogeneity.

cancer biology↗

bioRxiv2025

Gene Editing for ATXN3 Inactivation in Machado-Joseph disease: CRISPR-Cas9 as a Therapeutic Alternative to TALEN-Induced Toxicity

Machado-Joseph disease (MJD) is an autosomal dominantly-inherited neurodegenerative disorder, caused by an over-repetition of the polyglutamine-codifying region in the ATXN3 gene. Strategies based on the suppression of the deleterious gene products have demonstrated promising results in pre-clinical studies. Nonetheless, these strategies do not target the root cause of the disease. In order to prevent the downstream toxic pathways, our goal was to develop gene editing-based strategies to permanently inactivate the human ATXN3 gene. TALENs and CRISPR-Cas9 systems were designed to target exon 2 of this gene and functional characterization was performed in a human cell line. After the demonstration of TALENs and CRISPR-Cas9 efficiency on gene disruption, a sequence of each system was selected for further in vivo experiments. Although both TALENs and CRISPR-Cas9 systems led to a drastic reduction of ATXN3 aggregates in the striatum of a lentiviral-based mouse model of MJD/SCA3, only CRISPR-Cas9 system allowed the improvement of key neuropathological markers of the disease. Importantly, the administration of the engineered system in YAC-MJD84.2/84.2 mice mediated a delay in disease progression, when compared with non-treated littermates. These data provide the first in vivo evidence of the efficacy of a CRISPR-Cas9-based approach to permanently inactivate the ATXN3 gene in the brain of two mouse models of the disease, supporting its potential as a new therapeutic avenue in the context of MJD/SCA3.

neuroscience↗

bioRxiv2025

Unmasking Epstein-Barr Role in Gastric Carcinogenesis: A Gene Expression Approach to Virus-Positive Tumors

Human gammaherpesvirus 4 or Epstein-Barr virus (EBV) is an oncogenic virus linked to malignancies like gastric adenocarcinoma. Notably, EBV infection induces genetic and epigenetic modifications that play a crucial role in oncogenesis and tumor progression, underscoring the importance of analyzing viral gene expression in the context of gastric cancer (GC) to elucidate its unique characteristics. This study aimed to perform a molecular characterization of EBV gene expression using next-generation sequencing (NGS). The analysis included human gene expression patterns in EBV-positive and EBV-negative samples and the expression of viral genes in EBV-positive samples. The study received approval from the Ethics and Research Committee of Joao de Barros Barreto University Hospital under reference number 47580121.9.0000.5634. It utilized 76 tumor tissue samples from patients with gastric cancer who had undergone surgical resection, and both fresh and paraffin-embedded samples were gathered for total RNA sequencing (RNA-seq) and in situ hybridization (ISH). The RNA-seq was conducted in a pair-end manner on the NextSeq(R) platform (Illumina(R), US). The NextSeq(R) 500 MID Output V2 kit - 150 cycles (Illumina(R)) were utilized following the manufacturers instructions. ISH targeting RNA-1 of EBER1 (Y5200, DAKO, Carpinteria) was performed using the automated Dako system. Molecular characterization was conducted using the Kraken2 software. Subsequently, to elucidate the mechanisms through which EBV may influence gastric cancer, we analyzed the patterns of human gene expression in EBV-positive and EBV-negative samples. Of the 76 samples, 8 were classified as EBV-positive according to the applied methodology. Our analysis identified approximately 834 differentially expressed genes, 92 of which exhibited an AUC > 0.85. These genes are implicated in tumor progression, cellular metabolism, and both innate and adaptive immune responses. Additionally, viral genes expressed in the positive samples were evaluated, and we found manifestations of both lytic phase and latent phase genes. Finally, our study presents an efficient strategy for molecular classification of EBV-positive gastric cancer based on NGS and shows the effects of EBV on human gene expression. Author summaryIn our study, we explored how EBV influences the development of stomach cancer. EBV is a virus known to be linked to various cancers, including gastric cancer, and it can alter the behavior of both human and viral genes within infected cells. To investigate this, we analyzed tissue samples from 76 patients with stomach cancer, focusing on differences between samples with and without EBV. Using advanced sequencing technology, we identified over 800 genes that behave differently in EBV-positive cancers. These genes are involved in critical processes like how cells grow, how the immune system responds, and how energy is produced within cells. We also examined which EBV genes were active in the cancer samples and found evidence of both dormant and active phases of the virus. Our work demonstrated how EBV may contribute to stomach cancer and suggests new ways to classify and understand this disease. By uncovering these details, we hope to pave the way for more targeted treatments in the future.

cancer biology↗

bioRxiv2025

Allometric spreading and focal adhesion collective organization are coordinated by cell-scale geometrical constraints

Focal adhesions are protein complexes that transmit actin cytoskeleton forces to the extracellular matrix and serve as signaling hubs that regulate cell physiology. While their growth is achieved through a local force-dependent process, the requirement of sustaining stress at the cell scale suggests a global regulation of the collective organization of focal adhesions. To investigate evidence of such large-scale regulation, we compared changes in cell shape and the organization of focal adhesion-like structures during the early spreading of fibroblasts either on a two-dimensional substrate or confined between two parallel plates, and for cells of different volumes. In this way, we reveal that the areal density of focal adhesions is conserved regardless of cell size or third-dimensional confinement, despite different absolute values of the surface covered by adhesion clusters. In particular, the width of the focal adhesions ring, which fills the flat lamella at the cell front, adapts to cell size and third-dimensional confinement and scales with cell-substrate contact radius. We find that this contact radius also adapts in the parallel-plate geometry so that the cumulated area of cellsubstrate contact is conserved at the cell scale. We suggest that this behavior is the result of 3D cell shape changes which govern spreading transitions. Indeed, because of volume conservation constraints, the evolution of cell-body contact angle adjusts according to cell size and confinement, whereas the rate of early spreading at the cell-substrate contact is not affected by thirddimensional geometry. Overall, our data suggest that a coordination between global and local scales mediates the adaptation of cell-substrate contacts and focal adhesions distribution to large scale geometrical constraints, which allows an invariant cell-substrate adhesive energy.

biophysics↗

bioRxiv2025

Nuclear pore complex distribution on the nuclear envelope: insights into curvature, chromatin, and actin contributions

The Nuclear Pore Complex (NPC) is an ancestral feature of eukaryotic cells, essential for the exchange of material and information between cytoplasm and nucleoplasm. While, typical eukaryotic cells harbor thousands of NPCs covering the nucleus surface, a quantitative characterization of their spatial distribution remains lacking. Taking advantage of super-resolution microscopy, we imaged and segmented individual NPCs in myoblast cells to reconstruct the nuclear surface. Our spatial statistics analysis of NPCs on the nuclear surface reveals the existence of a 400nm repulsion length between NPCs, likely reflecting the mesh size of the underlying lamin network. Furthermore, we identify three key correlates of NPC density. (1) Myoblast actin fibres, which can indent the nucleus, correlate with a decrease in NPC surface density, contrary to what was reported in previous studies; (2) Regions of the nuclear envelope near large heterochromatin domains exhibit reduced NPC surface density; and (3) There is a non-monotonous relationship between NPC density and the nuclear envelope curvature. This last observation is consistent with the existence of NPC-preferred curvature suggesting curvature sensing properties. In conclusion, this study provides new insights into the spatial distribution of NPCs, shedding light on possible new determinants of NPC spatial distribution.

biophysics↗

bioRxiv2025

Circadian Rhythms are Disrupted in Patients and Preclinical Models of Machado-Joseph Disease

Machado-Joseph disease (MJD) is caused by an abnormal CAG repeat expansion in the ATXN3 gene, leading to the expression of a mutant ataxin-3 (mutATXN3) protein. MJD patients exhibit a wide range of clinical symptoms, including motor incoordination. Emerging evidence highlights circadian rhythm disruptions as early indicators and potential risk factors for the progression of neurodegenerative conditions. Circadian rhythms are regulated by internal clocks, with the suprachiasmatic nucleus (SCN) acting as the master pacemaker to synchronize timing across the bodys behavioural and physiological functions. While sleep disturbances have been observed in MJD, the role of clock regulation in its pathophysiology remains largely unexplored in spinocerebellar ataxias. This study aimed to investigate circadian rhythms, characterize associated disruptions, and uncover the mechanisms underlying clock dysregulation in patients and preclinical models of MJD. Circadian activity in MJD patients was assessed over two weeks using actigraphy, while in a YAC-MJD transgenic mouse model, circadian rhythms were examined through: (a) wheel-running experiments; (b) telemetry-based monitoring of core body temperature; (c) immunohistochemical analysis of the neuropeptides arginine vasopressin (AVP) and vasoactive intestinal polypeptide (VIP) in the SCN and paraventricular nucleus (PVN); and (d) RT-qPCR evaluation of clock gene expression in the cerebellum. The impact of mutATXN3 on clock mechanisms was further investigated using Bmal1/Per2-luciferase reporters. MJD patients exhibited a progressive decline in robustness of behavioural rhythms, demonstrated by negative correlations between the circadian function index, rest-activity fragmentation, and sleep efficiency with MJD clinical scales. YAC-MJD mice exhibited reduced activity levels, increased behavioural fragmentation, and required three additional days to re-entrain after a jet lag protocol, compared to controls. Disrupted core body temperature rhythms were observed, including a phase advance and elevated temperature ([~]1 {degrees}C) at the onset of the active period. Furthermore, transgenic mice showed reduced levels of VIP and AVP in the SCN and PVN, and decreased clock gene expression in the cerebellum. Lastly, we found new mechanistic evidence that WT ATXN3 activates the promoters of Bmal1 and Per2, whereas mutATXN3 loses the capacity to drive Per2 upon polyglutamine expansion. Overall, our findings indicate that central clock dysfunction in MJD is associated with impaired clock gene expression and disruptions in activity and temperature rhythms. This study provides the first robust evidence of circadian rhythm dysregulation and underlying mechanisms in MJD, paving the way for the identification of new biomarkers and the development of novel circadian-based interventions to tackle MJD and possibly other spinocerebellar ataxias. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=88 SRC="FIGDIR/small/631212v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@25078dorg.highwire.dtl.DTLVardef@112e523org.highwire.dtl.DTLVardef@1818356org.highwire.dtl.DTLVardef@1d5a6c0_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2024

Untangling structural molecular details of the endocytic adaptor protein CALM upon binding with phosphatidylinositol 4,5-bisphosphate-containing model membranes

Clathrin assembly lymphoid myeloid leukemia protein (CALM) is involved in the formation of clathrin-mediated endocytic coats by virtue of binding many proteins involved in the process, including clathrin itself and AP2 cargo adaptor complex. CALM is able to specifically recognize the inner leaflet of the plasma membrane by binding the membranes phosphatidylinositol 4,5-bisphosphate (PtdIns(4,5)P2). Here, a biophysical approach, primarily using neutron and X-ray scattering and solid-state NMR experiments, was exploited to investigate CALM interaction with PtdIns(4,5)P2-presenting model membranes. The presented experimental data reveal how the CALM folded domain is partly accommodated within the lipid membrane, directly interacting with PtdIns(4,5)P2 phosphates. Moreover, these data suggest that CALMs amphiphilic N-terminal helix buries into the membrane, not only stabilising the protein docking to the membrane but also providing a mechanism to induce membrane curvature.

biophysics↗

bioRxiv2024

The Immunoregulatory Architecture of the Adult Oral Cavity

The immunoregulatory architecture of human oral tissues remains poorly defined despite their central role as barrier interfaces. We present the first integrated single-cell and dual-platform spatial-proteotranscriptomic atlas of oral tissues, profiling >250,000 single-cell transcriptomes and >4 million spatially-resolved cells across 13 niches. Using our AI-enabled AstroSuite (TACIT, Constellation, STARComm, hist2omics), we defined tissue cellular neighborhoods (TCNs) and multicellular interaction modules (MCIMs) in health, revealing peri-epithelial fibroblast-centered hubs enriched for effector cytokines. We harmonized eight fibroblast subtypes (universal, immune, peri-epithelial, peri-vascular, peri-neural, APC-like, stress-responsive, and myofibroblasts) with stress-responsive subtypes partitioning between mucosae (Type I) and glands (Type II). Spatial multiomics mapped receptor-ligand circuits and showed mucosal stress-responsive fibroblasts as immunoregulatory hubs. In chronic periodontitis, niche-aware integration of healthy and diseased datasets revealed rewiring of fibroblast phenotypes and ligand::receptor networks into interdigitated inflammatory and reparative niches. Disease neighborhoods exhibited fragmentation, expansion of MHC-I, MHC-II, and PD-L1 fibroblasts, and predicted spatial engagement with T cells at ectopic lymphoid structures. Drug2Cell analysis highlighted druggable stromal::immune networks. Together, this proteotranscriptomic atlas positions fibroblasts as central architects of structural immunity in human oral tissues and establishes a scalable framework for precision targeting of stromal::immune ecosystems across other barrier organs in health and chronic disease.

cell biology↗

bioRxiv2024

Disentangling the contributions of stress fibres and the unbundled actin meshwork to the anisotropy of cortical tension in response to cell shape

Many fundamental biological processes, in particular development and morphogenetic movements, involve tissue and cell deformation, as well as the generation of anisotropic mechanical stresses. They are often accompanied by the appearance of oriented contractile actomyosin structures resembling the stress fibres (SF) observed in vitro. Here, we investigate, at the single cell level, how cell shape -- by itself -- could control the structure and tension of the actomyosin cortex. Using a unique combination of 3D micropatterning, single peripheral SF (PSF) tension measurement, laser ablation and image analysis, we show that cell shape anisotropy, e.g. its 2D aspect ratio, is indeed sufficient to induce anisotropy of the cortical structure and tension. In particular, taking into account the experimentally measured anisotropy of the cortical meshwork, we could quantify cortical tension and decouple the contribution originating from bundled actin (oriented cortical stress fibres, CSF) and the contribution of the unbundled actin meshwork (UAM). We show that the increase of cortical tension anisotropy with the cells aspect ratio depends on the CSF alignment and orientation, the contribution of the isotropic mesh being independent of cell shape. Remarkably, while experimental data from single stress fibre measurements and laser ablation were analysed through different theoretical frameworks, namely that of negative pressure in nematics and hole drilling in prestressed materials, we found quantitatively the same composite material behaviour. In sum, we decipher here the very material properties of the actomyosin cortex, and its sensitivity to cell shape which is at the root of many mechanobiological processes, in particular morphogenesis.

biophysics↗

bioRxiv2024

Lamins regulate nuclear mechanics and shape to control glioblastoma cell proliferation, migration and invasion

Glioblastoma (GBM) is known as the most aggressive brain tumor and is characterized by a high heterogeneity and a median patient survival time around 15 months. Phenotyping based on cell mechanics is increasingly recognized as a potential prognostic marker for tumor aggressiveness. We have previously shown that cell and nuclear mechanical properties vary between different grades of gliomas and may be used to differentiate between GBM of different aggressiveness. Here, we find that the levels of lamin proteins can serve as an indicator of GBM aggressiveness. In patient-derived GBM cell lines, we found that cells from different GBM express different lamin levels. Nuclear size correlates positively with the ratio between lamin A and lamin B1 while nuclear stiffness increases with the levels of both lamin A and lamin B1. A simple mechanical model suggests that lamin A and lamin B1 act like springs in series. We also show that cells proliferate faster in GBM cell lines expressing higher lamin A levels. Downregulating lamin A expression in these cells reverse the aggressive phenotype. In contrast with breast cancer cells for which reduced lamin A levels favor cell migration in a confined environment, increased levels of lamin A may facilitate the invasion of more aggressive GBM cell lines in the soft environment of the brain. Furthermore, since nuclear deformation is a hallmark of malignancy in cancer cells, our results suggest that nuclear shape and mechanics may serve as prognosis biomarkers for GBM.

biophysics↗

bioRxiv2024

RESPAN: an accurate, unbiased and automated pipeline for analysis of dendritic morphology and dendritic spine mapping

Quantification of dendritic spines is essential for studying synaptic connectivity, yet most current approaches require manual adjustments or the combination of multiple software tools for optimal results. Here, we present Restoration Enhanced SPine And Neuron Analysis (RESPAN), an open-source pipeline integrating state-of-the-art deep learning for image restoration, segmentation, and analysis in an easily deployable, user-friendly interface. Leveraging content-aware restoration to enhance signal, contrast, and isotropic resolution further enhances RESPANs robust detection of spines, dendritic branches, and soma across a wide variety of samples, including challenging datasets such as those from live imaging and in vivo 2-photon microscopy with limited signal. Extensive validation against expert annotations and comparison with other software demonstrates RESPANs superior accuracy and reproducibility across multiple imaging modalities. RESPAN offers significant improvements in usability over currently available approaches, streamlining and democratizing access to a combination of advanced capabilities through an accessible resource for the neuroscience community. MOTIVATIONAccurate and unbiased reconstructions of neuronal morphology and quantification of dendritic spines are widely used in neuroscience but remain a significant challenge for efficient large-scale analysis. Current methods rely heavily on parameter optimization between images and manual annotation, introducing bias and creating bottlenecks that limit large-scale studies. Additionally, existing automated tools often require complex workflows across multiple software platforms and lack integrated validation capabilities. We developed RESPAN to address these limitations by providing a comprehensive, automated pipeline that combines state-of-the-art deep learning approaches for image restoration, model training, image segmentation and analysis within one user-friendly graphic interface. This enables rapid, unbiased analysis of dendritic spine morphology across diverse imaging modalities while maintaining high accuracy and reproducibility.

neuroscience↗

bioRxiv2024

Combined thermodynamic and time-resolved structural analysis of interactions between AP2 and biomimetic plasma membranes provides insights into clathrin-mediated endocytosis

Clathrin mediated endocytosis (CME) is the main mechanism for swift and selective uptake of proteins into eukaryotic cells. CME is initiated by recruitment to the plasma membrane (PM) of the adaptor protein AP2, which recognizes the PM-associated lipid PtdIns(4,5)P2, as well as the protein cargo to be internalized. Nonetheless, many aspects of this process remain unclear due to their in vivo complexity. Here, a thermodynamic and time-resolved structural analysis of AP2 binding to different biomimetic PM was undertaken under physiological conditions using a combination of neutron reflectometry, interfacial tensiometry and rheology, and atomic force microscopy. The resultant in vitro data replicated previous in vivo observations, as well as yielded biophysical insights into normal and aborted CME. The presence of cargo may not be pivotal for the "activating" conformational change of AP2. However, the presence of cargo extends AP2s residence time on the membrane surface, due to slower on- and off-rates, thereby tentatively giving sufficient time for CME to proceed fully. Moreover, upon interaction with AP2, phospholipid lateral diffusion decreases markedly, inducing a gel phase attributed to creating a percolated network involving AP2 on the membrane, which could potentially serve as a mechanism for modulating subsequent clathrin binding.

biophysics↗

bioRxiv2023

Genome-enabled analysis of population dynamics and virulence associated loci in the oat crown rust fungus Puccinia coronata f. sp. avenae

Puccinia coronata f. sp. avenae (Pca) is an important fungal pathogen causing crown rust that impacts oat production worldwide. Genetic resistance for crop protection against Pca is often overcome by the rapid virulence evolution of the pathogen. This study investigated the factors shaping adaptive evolution of Pca using pathogen populations from distinct geographic regions within the USA and South Africa (SA). Phenotypic and genome-wide sequencing data of these diverse Pca collections, including 217 isolates, uncovered phylogenetic relationships and established distinct genetic composition between populations from northern and southern regions from the USA and SA. The population dynamics of Pca involve a bidirectional movement of inoculum between northern and southern regions of the USA and contributions from clonality and sexuality. The population from SA is solely clonal. A genome-wide association study (GWAS) employing a haplotype-resolved Pca reference genome was used to define eleven virulence-associated loci corresponding to twenty-five oat differential lines. These regions were screened to determine candidate Avr effector genes. Overall, the GWAS results allowed us to identify the underlying genetic traits controlling pathogen recognition in an oat differential set used in the USA to assign pathogen races (pathotypes). Key GWAS findings support complex genetic interactions in several oat lines suggesting allelism among resistance genes or redundancy of genes included in the differential set, multiple resistance genes recognising genetically linked Avr effector genes, or potentially epistatic relationships. A careful evaluation of the composition of the oat differential set accompanied by the development or implementation of molecular markers is recommended.

genomics↗

bioRxiv2023

Large-scale analyses reveal the contribution of adaptive evolution in pathogenic and non-pathogenic fungal species

Genome studies of fungal pathogens have presented evidence for exceptionally high rates of evolution. It has been proposed that rapid adaptation is a hallmark of pathogen evolution that facilitates the invasion of new host niches and the overcoming of intervention strategies such as fungicide applications and drug treatments. To which extent high levels of genetic variation within and between species correlate with adaptive protein evolution in fungi more generally has so far not been explored. In this study, we addressed the contribution of adaptive evolution relative to genetic drift in 20 fungal species, hereby exploring genetic variation in 2,478 fungal genomes. We reannotated positions of protein-coding genes to obtain a high-quality dataset of 234,427 full-length core gene and 25,612 accessory gene alignments. We applied an extension of the McDonald-Kreitman test that models the distributions of fitness effects to infer the rate of adaptive ({omega}A) and non-adaptive ({omega}NA) non-synonymous substitutions in protein-coding genes. To explore the relevance of recombination on local adaptation rates, we inferred the population genomic recombination rate for all 20 species. Our analyses reveal extensive variation in rates of adaptation and show that high rates of adaptation are not a hallmark of a pathogenic lifestyle. Up to 83% of non-synonymous substitutions are adaptive in the species Parastagonospora nodorum. However, non-synonymous substitutions in other species, including the prominent rice-infecting pathogen Magnaporthe oryzae, are predominantly non-adaptive (neutral or slightly deleterious). Correlating adaptation measures with effective population size and recombination rate, we show that effective population size is a primary determinant of adaptive evolution in fungi. At the genome scale, recombination rate variation explains variation in both {omega}A and {omega}NA. Finally, we demonstrate the robustness of our estimates using simulations. We underline the value of population genetic principles in studies of fungal evolution, and we highlight the importance of demographic processes in adaptive evolution of pathogenic and non-pathogenic species.

evolutionary biology↗

bioRxiv2023

Polybacterial intracellular coinfection of epithelial stem cells in periodontitis

Periodontitis affects billions of people worldwide. To address interkingdom relationships of microbes and niche on periodontitis, we generated the first sin-gle-cell meta-atlas of human periodontium (34-sample, 105918-cell), harmo-nizing 32 annotations across 4 studies1-4. Highly multiplexed immunofluores-cence (32-antibody; 113910-cell) revealed spatial innate and adaptive immune foci segregation around tooth-adjacent epithelial cells. Sulcular and junctional keratinocytes (SK/JKs) within epithelia skewed toward proinflammatory phe-notypes; diseased JK stem/progenitors displayed altered differentiation states and chemotactic cytokines for innate immune cells. Single-cell metagenomics utilizing unmapped reads revealed 37 bacterial species. 16S and rRNA probes detected polybacterial intracellular pathogenesis ("co-infection") of 4 species within single cells for the first time in vivo. Challenging coinfected primary human SK/JKs with lipopolysaccharide revealed solitary and synergistic ef-fects. Coinfected single-cell analysis independently displayed proinflammatory phenotypes in situ. Here, we demonstrate the first evidence of polybacterial intracellular pathogenesis in human tissues and cells--potentially influencing chronic diseases at distant sites.

cell biology↗

bioRxiv2023

SCD inhibition eradicates AML displaying high de novo fatty acid desaturation and synergizes with chemotherapy

Identification of specific and therapeutically actionable vulnerabilities in acute myeloid leukaemia (AML) is needed to improve patients outcome. These features should be ideally present in many patients independently of mutational background. Here we identify de novo fatty acid (FA) desaturation, specifically stearoyl-CoA desaturase (SCD) inhibition, as a therapeutic vulnerability across multiple AML models in vitro and in vivo. We use the novel clinical grade SCD inhibitor SSI-4 to show that SCD inhibition induces AML cell death via pleiotropic effects, and sensitivity is based on their dependency on FA desaturation regardless of mutational profile. SSI-4 efficacy is enhanced by driving FA biosynthesis in vitro while stroma confers protective effects that extend to in vivo models. SCD inhibition increases DNA damage and its combination with standard DNA damage-inducing chemotherapy prolongs survival in aggressive murine AML models. Our work supports developing FA desaturase inhibitors in AML while stressing the importance of identifying predictive biomarkers of response and biologically validated combination therapies to realize their therapeutic potential. One Sentence SummarySCD inhibition is toxic to AML cells with high rates of fatty acid desaturation and in combination with chemotherapy prolongs survival in murine AML models.

cancer biology↗