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Richter, M.

Publications and source records attributed to Richter, M..

At least 19 recordsLinked to original sources

Human cerebral assembloids as a model to study the interaction of glioblastoma with resident glial cells

Glioblastoma (GB) is a highly invasive brain cancer characterized by extensive peritumoral glial reactivity. Although GB infiltration and recurrence remain major therapeutic challenges, the contribution of GB-induced gliosis to tumor progression is poorly understood. To investigate glia-GB interactions, we developed human iPSC-derived cerebral forebrain assembloids containing innate microglia and macroglia and transplanted them with GB cells. The model recapitulates key tumor features observed in patients, including distinct tumor regions, reactive gliosis, and altered tissue stiffness. Single-cell RNA sequencing revealed an unexpected enrichment of extracellular vesicles (EVs) in peritumoral reactive glia, which we validated in patient samples. EV inhibition impaired formation of the peritumoral niche, whereas EVs from GB-containing assembloids induced glial reactivity in GB-free assembloids. Furthermore, the modularity of our system enables incorporation of additional niche components, such as monocytes, allowing investigation of the monocyte-glia-tumor axis and providing a powerful platform to dissect mechanisms regulating the GB microenvironment.

neuroscience↗

Antisense Oligonucleotides Targeting an LDLR Regulatory RNA Increase LDLR Expression and Reduce LDL-cholesterol in Vivo

Regulatory RNAs (regRNAs) are non-coding RNAs expressed from promoters and enhancers that modulate gene transcription. Targeting regRNAs with antisense oligonucleotides (ASOs) can increase transcription and presents a potential therapeutic strategy to restore expression in haploinsufficient diseases. This approach requires high-quality regRNA maps, identification of ASOs targeting actionable sequences, and translation of efficacy to relevant animal models. Here, we describe this approach for human low-density lipoprotein receptor (LDLR). We characterized LDLR regRNAs in HepG2 cells and human liver using epigenomic mapping and regRNA Capture-seq, and designed ASOs targeting these regRNAs. Several ASOs increased LDLR expression in cells and a lead was evaluated for efficacy in a humanized liver mouse model. ASO administration increased human LDLR mRNA and protein, while lowering LDL-cholesterol in plasma. These data provide a framework for the discovery and translation of ASOs that increase gene expression as a potential therapeutic approach for the treatment of haploinsufficient diseases.

molecular biology↗

Temporal Profiling of Upper-Layer Neurons Reveals Changes in the Molecular Landscape Upon Maternal Immune Activation

Neuronal differentiation is a dynamic, multi-layered process that transforms progenitor cells into functionally integrated neurons, yet the coordinated molecular programs underlying this transition remain incompletely understood. Here, we define the developmental trajectory of murine upper-layer cortical neurons using an integrated multi-omics approach combining transcriptomics and proteomics across key stages of neurogenesis. We find that neuronal identity emerges gradually through coordinated transitions from RNA processing and splicing programs toward synaptic and metabolic maturation. Integration of matched transcriptomic and proteomic datasets reveals a compact set of concordant molecular modules that define this trajectory, highlighting post-transcriptional regulation as a central driver of neuronal maturation. We further show that maternal immune activation (MIA), a model of prenatal inflammation, deranges this developmental program. MIA induces sustained upregulation of Wnt signalling pathways alongside a downregulation of synaptic regulators, without detectable global alterations in DNA methylation. These molecular changes are accompanied by defects in neuronal positioning during cortical development, linking altered molecular trajectories to functional outcomes. Together, our findings establish a temporal molecular framework of neuronal differentiation and demonstrate that prenatal environmental perturbations reshape cortical development primarily through post-transcriptional and signalling-based mechanisms.

neuroscience↗

Periweaning diet-induced activation of an IFNγ-mediated regulatory circuit promotes the homeostasis of cytotoxic CD8+ T Cells

Balancing pathogen defence with maintaining tolerance to environmental antigens, such as food or commensals, in neonates is essential for survival and the establishment of life-long immune homeostasis. Instructed by environmental signals type 1 conventional dendritic cells (cDC1) drive either T cell tolerance or immunity. Here, we uncover an interferon (IFN)-{gamma}-driven regulatory circuit in early life that relays dietary cues to spleen cDC1. Loss-of-function demonstrates that IFN{gamma}-mediated STAT1-signaling induces an immunogenic maturation program in spleen cDC1 that instructs cDC1 to expand effector memory CD8 T cells. This program emerges during weaning, when IFN{gamma} production from lymphocytes rises, it occurs in germ-free mice and remains responsive to dietary intervention in adult mice. During the transition from breastfeeding to solid food at weaning, this circuit relays dietary information to spleen cDC1 to shape the effector phenotype of food-antigen specific CD8+ T cells in a feed-forward manner, allowing cDC1 to recalibrate the T cell pool at the moment of nutritional independence.

immunology↗

IL-1α drives a tumor-stroma-neutrophil axis through inflammatory fibroblast activation in head and neck cancer

In head and neck squamous cell carcinoma (HNSCC), high tumor-associated neutrophil (TAN) density is a robust biomarker of poor prognosis. TANs predominantly localize to the stroma and their intratumoral density strongly correlates with adverse outcome. Here, we investigated how tumor-stroma communication regulates TAN recruitment, activation, and spatial organization. We identified interleukin-1 (IL-1), released by viable or necrotic tumor cells, as an upstream signal that induces an inflammatory cancer associated fibroblast (iCAF)-like transcriptional program in patient-derived mesenchymal stromal cells (MSCs) of the oral cavity. IL-1-stimulated MSCs secrete factors associated with neutrophil recruitment, survival, and function, together with mediators of extracellular matrix remodeling and angiogenesis. Notably, the IL-1-induced iCAF-like transcriptional program closely resembles CAF subsets in HNSCC that are associated with poor clinical outcome. Functionally, conditioned media from IL-1-stimulated MSCs promoted tumor growth and enhanced polymorphonuclear neutrophil survival, activation, trans-well migration and infiltration into spheroids, in vitro. In zebrafish xenografts, co-injection of IL-1-overexpressing tumor cells and MSCs markedly amplified neutrophil infiltration. TCGA analysis demonstrated robust correlations between the IL-1-induced MSC gene signature and neutrophil signatures across multiple TAN subsets in human HNSCC. Spatial analysis of HNSCC tissues showed that stromal regions adjacent to IL1A-positive tumor islets were enriched for CXCL8/CSF3 double-positive cells and exhibited increased TAN density, including higher frequencies of NE- and MPO-positive neutrophils. Collectively, these findings define an IL-1-dependent tumor-stroma signaling circuit that links tumor inflammation to stromal remodeling and neutrophil infiltration in HNSCC. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=180 SRC="FIGDIR/small/700440v1_ufig1.gif" ALT="Figure 1"> View larger version (47K): org.highwire.dtl.DTLVardef@f8d282org.highwire.dtl.DTLVardef@1c4575aorg.highwire.dtl.DTLVardef@1430cfcorg.highwire.dtl.DTLVardef@1098887_HPS_FORMAT_FIGEXP M_FIG Graphical abstract: IL-1 drives tumor-stroma communication and neutrophil recruitment in HNSCC. Here, we describe a mechanism in HNSCC that promotes high tumor-associated neutrophil (TAN) density, a biomarker associated with poor prognosis. Tumor-derived IL-1 activates stromal cells to adopt an inflammatory phenotype, resulting in the release of CXCL8, GM-CSF, and G-CSF to enhance neutrophil recruitment, activation, and survival. IL1A-positive tumor islets are surrounded by CXCL8/CSF3-rich stroma with elevated TAN densities in both tumor and stromal compartments. These TANs exhibit increased frequencies of MPO- and NE-positive cells, revealing a spatially organized inflammatory tumor microenvironment. Figure was created using BioRender. C_FIG

cancer biology↗

Genome evolution and convergent innovation in the carnivorous plant Sarracenia purpurea

The repeated evolution of certain complex traits raises a fundamental question of how genomes generate ecological novelty while preserving developmental stability. Carnivorous pitcher plants, which modify a core organ of plant performance, the leaf, exemplify this challenge, yet the genomic basis of their convergent evolution has not been resolved. We present a chromosome-scale genome assembly for Sarracenia purpurea and analyze it alongside eight additional angiosperms spanning its parent clade Ericales and several other carnivorous lineages. The genome reveals extensive syntenic duplicate blocks arising from ancient polyploidy events, with diffuse, alternating dominant and recessive segments interleaved along chromosomes. Dominant regions are biased toward retained copies of dosage-sensitive regulatory genes, including AGO1, BRX, GATA11, ETC1 and RCD1. These genes highlight a conserved regulatory scaffold associated with leaf morphogenesis, including epidermal differentiation, auxin-mediated patterning, and redox-integrated coordination. By contrast, tandem gene duplications preferentially accumulate in structurally labile genomic regions and constitute a complementary, rapidly evolving component of the genome, enriched for ecological effector functions, including detoxification, glutathione-mediated redox buffering, antifungal pathways, and cuticle modification activities. Comparative union-based functional analyses across four carnivorous taxa reveal convergent recruitment of oxidative, transport, microbial-interaction, and cell-wall processes during independent trap evolution. Transcriptomic data confirm consistent activation of these pathways in pitchers. These findings demonstrate that complex traits arise through a genome-wide partitioning between polyploidy-derived, conserved developmental regulation and tandem-driven ecological specialization, here partitioning leaf architectural control from rapidly evolving functions associated with pitfall-based prey capture.

genomics↗

TSP1/TGF-β1 drives arachidonic acid metabolism to orchestrate neutrophil swarming

Neutrophil swarming has emerged as a conserved multicellular behaviour observed across tissues and pathological contexts. Yet, the molecular cues and the spatially coordinated cellular circuits that drive the process of neutrophil swarming leading to cluster formation remain poorly understood. Here, we combine spatial proteomics and lipid profiling in a model of urinary tract infection to define the epithelial-immune circuits driving neutrophil cluster formation. We identify thrombospondin-1 (TSP1)-mediated activation of transforming growth factor beta 1 (TGF-{beta}1) as key epithelial signal licensing neutrophil clustering and enhancing bacterial control. Spatial lipid analysis further reveals that TSP1/TGF-{beta}1 signalling locally activates arachidonic acid metabolism in epithelial neutrophils, with 5-lipoxygenase dependent leukotriene synthesis required for swarm formation and infection clearance. These findings uncover a spatially coordinated defence mechanism in which epithelial-derived TSP1/TGF-{beta}1 engages neutrophil lipid metabolism to orchestrate neutrophil swarming behaviour and reinforce antibacterial immunity. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=127 SRC="FIGDIR/small/688397v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@114ea92org.highwire.dtl.DTLVardef@345244org.highwire.dtl.DTLVardef@10520baorg.highwire.dtl.DTLVardef@1a7c0fe_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical abstractC_FLOATNO C_FIG

immunology↗

The nuclear receptor NR4A1 serves as a neutrophil-intrinsic regulator mitigating stroke severity

Ischemic stroke is accompanied by recruitment and activation of immune cells which play an important role in the progression of the brain damage. The nuclear receptor NR4A1 emerged as a key regulator within the inflammatory response of several immune diseases by regulating immune cell activation. In this study, we investigated the role of NR4A1 in the activation and recruitment of brain resident and peripheral immune cells after cerebral ischemia. Here, we show that NR4A1 mediates an anti-inflammatory and damage-limiting effect after stroke. This effect is largely mediated by neutrophil recruitment and importantly, NR4A1 activation with its ligand Cytosporone B improves functional outcome and reduces brain damage. Modulation of NR4A1 is therefore a promising therapeutic target for the treatment of the nuclear receptor NR4A1 in the activation and recruitment of peripheral and brain resident immune cells after cerebral ischemia and its consequences for stroke outcome. We demonstrate that NR4A1 ablation augments neutrophil activation and CNS recruitment within days after stroke thereby increasing infarct size, CNS inflammation, neuronal damage and deteriorating functional outcome. This effect is mediated via modulation of cell-intrinsic neutrophil function and maturation as illustrated by neutrophil-specific NR4A1 ablation and mixed bone-marrow chimera experiments. Notably, the NR4A1 agonist Cytosporone B reduced CNS neutrophil infiltration, infarct size and functional outcome after stroke in a bicentric preclinical stroke trial, demonstrating that NR4A1-mediated control of neutrophil reactivity is amenable to pharmacological modulation. In humans, NR4A1 expressing neutrophils are present in the peripheral blood of stroke patients and neutrophil NR4A1 expression correlates with improved long-term outcome after 3 months. Furthermore, NR4A1 expression in brain parenchyma neutrophils is negatively correlated with neuronal cell loss, illustrating a role of NR4A1 in regulating neutrophil mediated neuronal cell death in human stroke. Together our data reveal the nuclear factor NR4A1 as a brake of intrinsic neutrophil activity controlling neutrophil-mediated brain inflammation and neurotoxicity in stroke which may serve as a novel therapeutic target to limit inflammation-associated augmentation of ischemic damage after stroke.

neuroscience↗

Single-cell mass spectrometry imaging combined with immunofluorescence reveals neutrophil heterogeneity in inflammation

Multimodal single-cell approaches allow for a holistic analysis of complex biological systems. In this study, we developed a novel single-cell analysis pipeline integrating immunofluorescence-based protein with mass spectrometry imaging-based lipid analysis of circulating human neutrophils. The combination of both modalities identified the emergence of pathogenic neutrophils in liver cirrhosis patients thus epitomizing the potential of this technology to reveal cellular phenotypes in health and disease.

immunology↗

Mutations in VPS18 lead to a neutrophil maturation defect associated with disturbed vesicle homeostasis

Neutrophils, the first cells to arrive at the site of inflammation, are rather short-lived cells and thus have to be constantly replenished. During neutrophil development, vesicle dynamics need to be fine-tuned and impaired vesicle trafficking has been linked to failure in neutrophil maturation. Here, we characterized the role of VPS18 as a central core component of CORVET & HOPS tethering complexes for neutrophil development. Using CRISPR/Cas9-engineered Hoxb8 cells with heterozygous mutations in Vps18, we found that VPS18 deficiency interfered with neutrophil development due to tethering complex instability. As a result, vesicle dynamics were impaired with a strong increase in LC3-II and p62 levels, indicating autophagosome accumulation and reduced autophagic flux. With transmission electron microscopy, we verified the increase in autophagosomes and also found irregularly shaped vesicular structures in Vps18 mutants. Subsequently, Vps18 mutant neutrophil progenitors underwent premature apoptosis. We described a novel patient with a heterozygous stop-gain mutation in VPS18 suffering from neutropenia and recurrent infections. To verify our findings in the human system, we used human induced pluripotent stem cells (iPSCs). Upon differentiation into neutrophils, loss of VPS18 resulted in an almost complete absence of iPSC-derived developing neutrophils. Heterozygous VPS18 mutant and patient mutation-harboring iPSCs were characterized by strongly reduced numbers of developing neutrophils. Zebrafish larvae with heterozygous mutations in vps18 were also characterized by significantly reduced neutrophil numbers. This study shows the pivotal impact of VPS18 for adequate vesicle dynamics during neutrophil development which might be relevant in the context of vesicle trafficking during granulopoiesis and congenital neutropenia.

physiology↗

Oncogene Silencing via ecDNA Micronucleation

Extrachromosomal DNA (ecDNA) contributes to cancer genome instability by enabling high-copy oncogene amplification, intratumoural heterogeneity and rapid genetic change. Micronuclei (MN) are frequently observed in chromosomally unstable cancers, yet their origins and relevance in ecDNA-driven tumours remain incompletely understood. Here, we investigate the relationship between ecDNA segregation errors and MN formation. We find that ecDNA frequently localizes to MN and represents a prominent source of MN content in ecDNA-positive cancer cells. Mitotic clustering of oncogene-bearing ecDNAs is associated with asymmetric inheritance and mis-segregation into MN. Transfer of oncogenes from ecDNA into MN is accompanied by reduced transcriptional output. Single-MN sequencing shows that individual MN are enriched for ecDNA to a degree that exceeds expectations from stochastic mis-segregation and that in MN oncogenes originating from multiple distinct ecDNAs coalesce. Using live-cell imaging, we observe that cells inheriting ecDNA-positive MN show limited proliferative capacity and an increased likelihood of cell death. In neuroblastoma patients with MYCN-amplified ecDNA, higher frequencies of ecDNA-positive MN at diagnosis are associated with improved event-free and overall survival. Together, these findings link ecDNA mis-segregation to MN formation and reduced cellular fitness, suggesting that ecDNA-positive MN may reflect a state of impaired oncogenic ecDNA function with potential relevance for clinical outcome.

cancer biology↗

siRNA Features - Reproducible Structure-Based Chemical Features for Off-Target Prediction

Chemical modifications are the standard for small interfering RNAs (siRNAs) in therapeutic applications, but predicting their off-target effects remains a significant challenge. Current approaches often rely on sequence-based encodings, which fail to fully capture structural and protein-RNA interaction details critical for off-target prediction. In this study, we developed a framework to generate reproducible structure-based chemical features, incorporating both molecular fingerprints and computationally derived siRNA-AGO2 complex structures. Using an RNA-Seq off-target study, we generated over 30,000 siRNA-gene data points and systematically compared nine distinct types of feature representation strategies. Among the datasets, the highest predictive performance was achieved by Dataset 3, which used extended connectivity fingerprints (ECFPs) to encode siRNA and mRNA features. An energy-minimized dataset (7R), representing siRNA-AGO2 structural alignments, was the second-best performer, underscoring the value of incorporating reproducible structural information into feature engineering. Our findings demonstrate that combining detailed structural representations with sequence-based features enables the generation of robust, reproducible chemical features for machine learning models, offering a promising path forward for off-target prediction and siRNA therapeutic design.

bioinformatics↗

Divergent granulopoiesis at extramedullary sites safeguards host defense

Extramedullary organs such as the spleen can assume granulopoiesis as a supportive mechanism to cope with the demands during persistent inflammation. However, the quantitative output of extramedullary granulopoiesis is limited, thus raising the question if the spleen in fact provides neutrophils of a qualitative difference rather than merely contributing to neutrophil numbers. Here we report splenic stress granulopoiesis with distinct production and differentiation trajectories. Myeloid progenitors in the spleen engage in accelerated production of neutrophils with an immature phenotype. Yet, neutrophils generated during persistent stress granulopoiesis are fully competent to exert antimicrobial functions and are necessary to contain bacterial invasion. Activation of type I interferon signaling in the spleen is required for splenic neutrophil production and its loss impairs host defense. Thus, the spleen provides an immunological environment for stress-induced rapid production and priming of highly active neutrophils to meet the demands during infection.

immunology↗

Exploration of novel biomarkers for neurodegenerative diseases using proteomic analysis and ligand-binding assays

Neurodegenerative diseases are a major cause of morbidity and mortality world-wide, and their public health burden continues to increase. There is an urgent need to develop reliable and sensitive biomarkers to aid the timely diagnosis, disease progression monitoring, and therapeutic development for neurodegenerative disorders. Proteomic screening strategies, including antibody microarrays, are a powerful tool for biomarker discovery, but their findings should be confirmed using quantitative assays. The current study explored the feasibility of combining an exploratory proteomic strategy and confirmatory ligand-binding assays to screen for and validate biomarker candidates for neurodegenerative disorders. It analyzed cerebrospinal fluid (CSF) and plasma samples from patients with Alzheimers disease, Parkinsons disease, and multiple sclerosis and healthy controls. The screening antibody microarray identified differentially expressed proteins between patients with neurodegenerative diseases and healthy controls. Quantitative ligand-binding assays confirmed that cluster of differentiation 14 (CD14) levels were elevated in CSF of patients with Alzheimers disease, whereas osteopontin levels were increased in CSF of patients with Parkinsons disease. The current study demonstrated the utility of combining an exploratory proteomic approach and quantitative ligandbinding assays to identify biomarker candidates for neurodegenerative disorders. To further validate and expand these findings, large-scale analyses using well characterized samples should be conducted.

neuroscience↗

msiFlow: Automated Workflows for Reproducible and Scalable Multimodal Mass Spectrometry Imaging and Immunofluorescence Microscopy Data Processing and Analysis

Multimodal imaging by matrix-assisted laser desorption ionisation mass spectrometry imaging (MALDI MSI) and immunofluorescence microscopy holds great potential for understanding pathological mechanisms by mapping molecular signatures from the tissue microenvironment to specific cell populations. However, existing open-source software solutions for analysis of MALDI MSI data are incomplete, require programming skills and contain laborious manual steps, hindering broadly applicable, reproducible, and high-throughput analysis to generate impactful biological discoveries across interdisciplinary research fields. Here we present msiFlow, an accessible open-source, platform-independent and vendor-neutral software for end-to-end, high-throughput, transparent and reproducible analysis of multimodal imaging data. msiFlow integrates all necessary steps from import and pre-processing of raw MALDI MSI data to visual analysis output, as well as registration, along with state-of-the-art and newly developed algorithms, into automated workflows. Using msiFlow, we unravel the molecular heterogeneity of leukocytes in infected tissues by spatial regulation of ether-linked phospholipids containing arachidonic acid. We anticipate that msiFlow will facilitate the broad applicability of MSI in the emerging field of multimodal imaging to uncover context-dependent cellular regulations in disease states.

bioinformatics↗

Physiological barriers for glucose utilization in Methanosarcina acetivorans

Methanogenesis is a key aspect of anaerobic biomass degradation, and thus of global importance. While methanogenic archaea (methanogens) are ubiquitous in anaerobic habitats, the range of substrates they utilize is very limited. Most methanogens are able to grow chemolithotrophically with H2+CO2, some clades can utilize methylated compounds and/or acetate as well. Organotrophic compounds like amino acids, lipids, nucleotides, or carbohydrates, are not known to support growth of methanogens. This inability to utilize "upstream" intermediates of anaerobic biomass degradation is remarkable considering the presence of cellular metabolism that such intermediates could feed into. Here, we addressed the question why the model methanogen Methanosarcina acetivorans, despite its gluconeogenic and glycolytic capacity, is unable to utilize glucose for methanogenesis and growth. Complementing heterologously with a glucose uptake facilitator allowed a recombinant M. acetivorans strain to convert glucose to methane at a low rate. However, growth with glucose was not observed, neither as energy source nor as carbon source. Instead, methylotrophic growth of the transgenic strain was impaired in a glucose-dependent fashion, which was aggravated when also glucokinase was heterologuously produced. Glucose-dependent growth inhibition coincided with a significant - and microscopically visible - accumulation of intracellular carbohydrate. Since the glucose-utilizing trait is rapidly lost during methylotrophic growth, accumulating growth-inhibiting metabolites probably makes methanogenic and glycolytic catabolism incompatible. Thus, extensive efforts in strain development would be required to enable direct glucose utilization for methanogenesis. ImportanceThe known range of methanogenic growth substrates is very limited and the most reduced carbon compound to support organotrophic growth of M. acetivorans is pyruvate. Yet, gluconeogenesis and glycolysis, i. e., mobilization of stored glycogen, which is known to occur in M. acetivorans makes the capacity of glycolytic methanogenesis in this organism seem feasible. Although this trait could be engineered in M. acetivorans by introducing a single gene, the finding that it could not sustain growth of the organism, not even as an anabolic carbon source, demonstrates that methanogenesis is not easily compatible with carbohydrate utilization, thus probably requiring extensive metabolic rewiring.

microbiology↗

Gray matter correlates of childhood maltreatment in the context of major depression: searching for replicability in a multi-cohort brain-wide association study of 3225 adults

Childhood maltreatment effects on cerebral gray matter have been frequently discussed as a neurobiological pathway for depression. However, localizations are highly heterogeneous, and recent reports have questioned the replicability of mental health neuroimaging findings. Here, we investigate the replicability of gray matter correlates of maltreatment (measured retrospectively via the Childhood Trauma Questionnaire) across three large adult cohorts (total N=3225). Pooling cohorts revealed maltreatment-related gray matter reductions, with most extensive effects when not controlling for depression diagnosis (maximum partial R2=.022). However, none of these effects significantly replicated across cohorts. Non-replicability was consistent across a variety of maltreatment subtypes and operationalizations, as well as subgroup analyses with and without depression, and stratified by sex. In this work we show that there is little evidence for the replicability of gray matter correlates of childhood maltreatment, when adequately controlling for psychopathology. This underscores the need to focus on replicability research in mental health neuroimaging.

neuroscience↗

Five-leaf generalizations of the D-statistic revealthe directionality of admixture

Over the past 15 years, the D-statistic, a four-taxon test for organismal admixture (hybridization, or introgression) which incorporates single nucleotide polymorphism data with allelic patterns ABBA and BABA, has seen considerable use. This statistic seeks to discern significant deviation from either a given species tree assumption, or from the balanced incomplete lineage sorting that could otherwise defy this species tree. However, while the D-statistic can successfully discriminate admixture from incomplete lineage sorting, it is not a simple matter to determine the directionality of admixture using only four-leaf tree models. As such, methods have been developed that use 5 leaves to evaluate admixture. Among these, the DFOIL method, which tests allelic patterns on the "symmetric" tree S = (((1, 2), (3, 4)), 5), succeeds in finding admixture direction for many five-taxon examples. However, DFOIL does not make full use of all symmetry, nor can DFOIL function properly when ancient samples are included because of the reliance on singleton patterns (such as BAAAA and ABAAA). Here, we take inspiration from DFOIL to develop a new and completely general family of five-leaf admixture tests, dubbed {Delta}-statistics, that can either incorporate or exclude the singleton allelic patterns depending on individual taxon and age sampling choices. We describe two new shapes that are also fully testable, namely the "asymmetric" tree A = ((((1, 2), 3), 4), 5) and the "quasisymmetric" tree Q = (((1, 2), 3), (4, 5)), which can considerably supplement the "symmetric" S = (((1, 2), (3, 4)), 5) model used by DFOIL. We demonstrate the consistency of {Delta}-statistics under various simulated scenarios, and provide empirical examples using data from black, brown and polar bears, the latter also including two ancient polar bear samples from previous studies. Recently DFOIL and one of these ancient samples was used to argue for a dominant polar bear [->] brown bear introgression direction. However, we find, using both this ancient polar bear and our own, that by far the strongest signal using both DFOIL and {Delta}-statistics on tree S is actually bidirectional gene flow of indistinguishable direction. Further experiments on trees A and Q instead highlight what were likely two phases of admixture: one with stronger brown bear [->] polar bear introgression in ancient times, and a more recent phase with predominant polar bear [->] brown bear directionality. Code and documentation available at https://github.com/KalleLeppala/Delta-statistics.

genetics↗