Biology subjects

Krause, J.

Publications and source records attributed to Krause, J..

At least 19 recordsLinked to original sources

bioRxiv2026

A relational architecture of the human genome

Complex systems exhibit organization not only through their components but also via their interdependencies. Local nucleotide dependencies underpin regulatory motifs and RNA structures, yet principles governing a higher-order organization across the human genome remain unknown. Here we systematically perturbed every position of the com- plete telomere-to-telomere human genome using Nucleotide Transformer v3 with an ex- ascale compute cluster, generating nucleotide-resolution dependency maps that reveal a directed, weighted network of position-to-position genomic relationships. This network recapitulates known biological features and uncovers recurrent, directional architec- tures termed 'relons', spanning coding, non-coding, and unannotated regions. These re- lational modules reflect evolutionary and functional constraints and associate with hu- man genetic variation and pathogenic variants. Our findings suggest a higher-order rela- tional layer of genome organization, providing a framework to interpret DNA as a complex system of dependencies beyond linear and 3D structure, with implications for under- standing genetic variation and disease.

genomics↗

bioRxiv2026

Non-genetic inheritance of stochastically induced behavioral individuality in a naturally clonal fish

The study of among-individual phenotypic variation arising in the apparent absence of genetic and environmental differences has recently emerged as a rapidly growing research area. Despite growing recognition of its existence and fitness relevance, it remains unknown whether signatures of such presumably stochastically induced variation can be transmitted across generations. To address this knowledge gap, we performed a two-generation behavioral screening with a naturally clonal fish: 34 genetically identical mothers and their 232 offspring were separated after birth into near-identical environments, with early-life behavior being tracked continuously at high resolution, constituting a total of ~19,000 observation hours. We find consistent among-individual differences in behavior (i.e., activity and feeding patterns) in both mothers and offspring. Mother behavior correlates with offspring activity (but not offspring feeding): mothers that spend more time feeding produce more active offspring. We find no evidence of body size (maternal or offspring) mediating mother-offspring behavioral associations. Our study provides first evidence for the non-genetic transmission of among-individual phenotypic differences that arise in the apparent absence of genetic or environmental differences, highlighting the potential importance of this variation for evolutionary processes and the adaptive potential of populations.

animal behavior and cognition↗

bioRxiv2026

Reconstructing their genomes confirms the historically attested genealogy of the two medieval emperors Otto I (the Great) and Heinrich II (Saint Henry)

The Medieval Ottonian dynasty had a lasting impact on European history. We obtained ancient genomic DNA from the purported remains of Otto I (912-973) and Heinrich (Henry) II (973-1024), the first and last emperors of this dynasty, preserved in the cathedrals of Magdeburg and Bamberg, respectively. Historical records attest that they were related as a great-uncle and a grandnephew via the paternal line. Whole-genome sequencing confirms such a relationship between the two individuals, as we identify a third-degree genetic relationship based on shared DNA segments and infer matching Y haplogroups. This genetic relatedness effectively identifies the remains of the two emperors. The authentication yields a valuable resource for refining and calibrating bio-archaeological methods. Because historical records provide the precise lifespans and dates of death of these individuals, their remains can serve as a "ground-truth" for methods such as radiocarbon dating and age-at-death estimates. They can provide calibration data to improve our understanding of the radiocarbon reservoir effects of Medieval elites. As the Ottonian lineage was closely linked to the mating networks of elites across Europe, the genomes of the two emperors are valuable resources for identifying other potential elite burials.

genetics↗

bioRxiv2026

Activity during the first days of life predicts lifespan in a naturally clonal vertebrate

Lifespan varies widely among individuals, yet the extent to which such variation persists when genetic and environmental differences are minimized remains unclear. Here we quantify such stochastic lifespan variation in a naturally clonal vertebrate and test whether and how this variation is linked to early-life behavioral individuality. We followed N = 33 genetically identical Amazon mollies (Poecilia formosa), separated on day 1 of their life into highly standardized environments, from birth to death. Despite genetic uniformity and environmental standardization, lifespan varies markedly, spanning 502 - 826 days. Continuous high-resolution behavioral tracking during the first four weeks of life reveals that seemingly stochastic early-life activity differences explain 32.5% of this variation. Higher activity predicts shorter lifespan during the first two weeks, but as activity levels and among-individual variation in activity decline over early development, a U-shaped relationship emerges, with both low- and high-activity individuals outliving those with intermediate activity. These findings show that signatures of lifespan emerge within days of birth, even among genetically identical individuals, highlighting developmental stochasticity and early-life contingencies as major contributors to variation in life-history outcomes.

animal behavior and cognition↗

bioRxiv2025

Hierarchical Semi-Markov Smooth Models of Latent Neural States

Hidden (semi-) Markov Models (HsMMs) are increasingly being used to segment neurophysiological signals into sequences of latent cognitive processes. The idea: different processes will leave distinct traces in trial-level recordings of (multivariate) neuro-physiological signals. Markov models, equipped with an emission model of these traces and a latent process model describing the progression through the different latent processes involved in a task, can then be used to infer the most likely process for any time-point and trial. However, the currently used HsMMs remain limited in two important ways. First, they cannot account for subject-level heterogeneity in the latent and emission process. Instead, a single group-level model is assumed to explain the entire data. Second, they cannot account for the potentially non-linear effects of experimental covariates on the latent and emission process. To address these problems, we present a modeling framework in which the HsMM parameters of the emission and latent process are replaced with mixed additive models, including smooth functions of experimental covariates and random effects. We derive all necessary quantities for empirical Bayes and fully Bayesian inference for all parameters and provide a Python implementation of all estimation algorithms. To demonstrate the advantages offered by this framework, we apply such a multi-level model to an existing lexical decision dataset. We show that, even in such a simple task, not all subjects rely on the same processes equally and that at least two semi-Markov states, previously believed to reflect distinct processes, might actually relate to the same cognitive process.

neuroscience↗

bioRxiv2025

The shifting dynamics of ancestry and culture at a post-Roman crossroads

The collapse of the western Roman Empire in the 5th century created a period of geopolitical upheaval, driven by Barbarians dispersing into the former Empire and reshaping post-Roman communities. While there is now evidence for a major genetic impact of these migrations into specific regions of Europe, it is unknown whether these changes in ancestry were uniform across the continent. We investigate present-day Slovenia, a crucial crossroad connecting the Roman East and West and the gate to Italy during the Langobard invasion. We conducted paleogenomic and isotopic analyses of 410 individuals from 21 sites across Slovenia and Cividale (Italy), establishing a longitudinal transect, spanning eight centuries. During Late Antiquity, despite changes in burial artifacts, kinship practices, and settlement structures reflecting a shift in culture, we find high levels of genetic continuity with the local Late Roman population and reduced mobility. However, demographic turnover began during the 8th century, when communities with northeastern European ancestry and distinct cultural practices entered the region, gradually advancing westward over the span of three centuries, replacing the local populations. This shows that cultural change in post-Roman Europe could be decoupled from genetic change in transit zones, demonstrating a dynamic spatiotemporal process across the continent.

genetics↗

bioRxiv2025

Genolator: A Multimodal Large Language Model Fusing Natural Language, Genomic, and Structural Tokens for Protein Function Interpretation

BackgroundDecoding the genetic code to unveil its genome functionality is a monumental task which would greatly advance the understanding of disease mechanisms and development of targeted treatment approaches. Although large language models (LLMs) have transformed natural language processing across diverse domains, translating the complex language of DNA into human-readable form remains challenging due to genomic data complexity and unexplored regions of the human genome. Current (genomic) language models either have a solid understanding of natural language or of the genomic code. Models fusing both aspects are largely lacking. ResultsHere we present Genolator, a multimodal large language model that integrates embeddings from DNA sequences, amino acid sequences, and protein structures with natural language queries. Fine-tuned on over 370,000 question-answer pairs generated using abstracted Gene-Ontology (GO) terms, Genolator effectively answers queries regarding protein subcellular localization, molecular function, and biological processes. Evaluation demonstrates high accuracy in confirming or denying protein function associations, outperforming baseline models such as openly available allrounder LLMs like GPT 4.1 as well as smaller domain specific models integrating knowledge from foundation models like Evo2 and ESM-2. Explorations of the Genolators hidden states unveil a biologically and linguistically plausible organization of its learned representations. ConclusionGenolator enhances accessibility to genomic information by enabling natural language interaction with protein data, facilitating biological discovery, and clinical research. It represents a step towards bridging genomic code and human language through the integration of a multimodal LLM.

bioinformatics↗

bioRxiv2025

The oral microbiome of King Richard III of England

Metagenomic investigation of archaeological dental calculus has provided insights into the changing oral health, disease, and diet of past human societies, but little is known about the oral microbiota of exceptionally high-status individuals, whose diet and lifestyle sharply differed from the general population. Here we analyze the dental calculus metagenome of King Richard III of England (1452-1485) and compare it to new and previously published dental calculus metagenomes from predominantly non-elite contexts in England, Ireland, the Netherlands, and Germany spanning the Neolithic to the present. Deep sequencing and de novo assembly enabled the investigation of metagenome-assembled genomes (MAGs) from periopathogens within the genus Tannerella. DNA preservation within the dental calculus of King Richard III was found to be exceptional, yielding an extraordinarily well-preserved oral microbiota. Oral microbiome species diversity fell within the range previously observed among other northern European populations over the past 7,000 years, suggesting that a royal lifestyle and a rich diet did not substantially shift his oral microbiome composition. Reconstructed Tannerella genomes contained many virulence factors found today among periopathogens, including Tannerella forsythia. Insufficient plant and animal DNA was recovered to investigate diet, suggesting that dental calculus may not be a sufficient source of dietary DNA for dietary reconstruction, even when well-preserved. The dental calculus of King Richard III has produced one of the richest and best preserved ancient oral metagenomes studied to date and contributes to understanding the ecology and evolution of the human oral microbiome.

microbiology↗

bioRxiv2025

Unveiling the complexity of post-Roman polity formation using ancient DNA

The transformation of the Roman world (4th-9th centuries CE) culminating in the dissolution of the Western Roman Empire in the 5th century marked a fundamental transition in European history. "Barbarian" groups and Roman provincial societies merged into enduring political frameworks in some places but not in others. Key questions persist regarding the regionally specific nature of this transformation. Here, we present one of the most densely sampled early medieval datasets to date, enabling the reconstruction of a post-Roman polity at an unprecedented micro-regional resolution. Our integrated genetic and archaeological analysis of two Roman-period (n=68) and five post-Roman (n=246) sites from the Little Hungarian Plain, a former Roman frontier region, reveals a significant increase in Northern European genetic ancestry, likely reflecting a large-scale population movement into the region. Moreover, while all post-Roman sites, dated to the time of the Langobard Kingdom, share similar genetic profiles, burial practices, and material culture, they display distinct patterns of social organization, especially regarding the role that biological relatedness played in each community. Our results suggest that distinct social hierarchies might have existed between sites, and their intensive connectivity probably formed the basis for regional-level organisation within the post-Roman polity. Our study provides a framework for investigating how new polities take shape after the collapse of major political systems. Applied more broadly, this approach can deepen our understanding of societal transformation across early medieval Europe and beyond, offering a richer and more nuanced view of the human past than ever before.

evolutionary biology↗

bioRxiv2025

An immunobiliary single-cell atlas resolves crosstalk of type 2 cDCs and γδT cells in cholangitis

Background and aimsThe immunobiliary niche serves as a reservoir of tissue-resident immune cells, yet the role of unconventional T cells during cholangitis remains poorly understood. Here, we connect cell state dynamics of type 2 conventional dendritic cells (cDC2) in cholangitis with site-specific{gamma}{delta} T17 responses in liver and draining lymph nodes (LN). MethodsThe 0.1% Diethoxycarbonyl-1,4-Dihydrocollidine (DDC) diet was used to generate an immunobiliary DC- and{gamma}{delta} T-enriched mouse liver and LN single-cell RNA-sequencing (scRNA-seq) atlas covering temporal disease dynamics, resolution and cDC2B depletion. cDC2 trajectories were inferred using VarID2 and{gamma}{delta} T cell transcription factor (TF) regulon activity was predicted by SCENIC. The human biliary niche was resolved by integrating human liver scRNA-seq data with available spatial transcriptomics data. Functional studies were conducted using Tcrd knockout, Il17a/f knockout and Tcrd reporter mice. ResultsA disease trajectory of Mgl2+ cDC2B was identified connecting DC maturation, homing and the expression of Il17-inducing genes. Disease progression was associated with numeric exhaustion of mature cDC2B and recruitment of DC precursors.{gamma}{delta} T cells were the main Il17 producers and were subtyped into Il17ahigh Scart1+ V{gamma}6+ and Il17low Scart2+ V{gamma}4+ populations exhibiting cDC2-directed communication and divergent TF regulon activity. Spatial proximity and conserved molecular interactions of cDC2 and{gamma}{delta} T cells were confirmed in human cholangitis. Il17-deficiency resulted in reduced liver fibrosis in mice, while cDC2B depletion attenuated{gamma}{delta} T17 cell states. ConclusionsIn cholangitis, a profibrogenic function of{gamma}{delta} T cells is contingent on the induction by peribiliary cDC2B, thereby highlighting relevant disease determinants within the immunobiliary and liver-draining LN niche. Impact and ImplicationsThe immunobiliary niche contains rare immune cells such as conventional dendritic cells and unconventional T cells, however, the function of these cell types in liver inflammation remains poorly understood. Mirroring human biliary diseases such as primary sclerosing cholangitis, we induced experimental cholangitis in a mouse model to generate a site-specific single-cell sequencing atlas resource resolving underexplored cell populations. Our data capture a profibrotic hepatic disease state trajectory of Mgl2+ cDC2B inducing a{gamma}{delta} T cell-specific Il17-response, which is attenuated upon cDC2B depletion and in DC precursors, which are characterized by reduced genomic accessibility of{gamma}{delta} T cell-interacting genes. These results highlight the importance of portal niche residing underexplored immune cell populations and the necessity to further resolve immunobiliary niche responses and crosstalk in inflammatory settings such as in cholangitis. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=193 HEIGHT=200 SRC="FIGDIR/small/664083v1_ufig1.gif" ALT="Figure 1"> View larger version (49K): org.highwire.dtl.DTLVardef@1d21193org.highwire.dtl.DTLVardef@7ff3dcorg.highwire.dtl.DTLVardef@630c78org.highwire.dtl.DTLVardef@c79f9b_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2025

No paternal effects in a sperm-dependent, naturally clonal fish

Paternal effects, i.e., effects of males on the phenotypes of their offspring that are not caused by the integration of male genetic material, are increasingly recognized as a potentially significant source of phenotypic variation across taxa - even in the absence of paternal care. Gynogenetic systems, which rely on sperm to trigger embryogenesis without incorporating male genetic material, provide a powerful way to experimentally isolate potential paternal effects from effects caused by the integration of male genetic material; up to now, however, paternal effects remain largely unexplored in these systems. Here, we test for paternal effects in the gynogenetic Amazon molly (Poecilia formosa): a naturally clonal, all-female species with no parental care. Using a highly controlled breeding experiment involving 59 Atlantic molly males (P. mexicana) and 57 Amazon molly females, we generated 169 broods and 2,966 offspring. While males were drawn from a naturally variable stock population, females - next to being genetically identical - were highly standardized for age, size, descent, and developmental experience. We asked whether male identity or body size predicted offspring size - a key offspring phenotypic trait. We also asked whether male identity or body size predicted brood size. While we found substantial variation in both offspring size and brood size, we found no evidence for paternal effects on either trait. Next to providing an experimental test for paternal effects in a gynogenetic system, our results also strengthen the Amazon mollys status as a model species for studying - in a highly controlled fashion - the developmental emergence of phenotypic variation.

animal behavior and cognition↗

bioRxiv2025

Abrogating TGFβ signaling in TCR-engineered T cells and enhancing antigen processing by tumor cells promotes sustained therapeutic activity in pancreatic ductal adenocarcinoma

Pancreatic ductal adenocarcinoma (PDA) is a deadly malignancy with limited effective therapies. Adoptive cell therapy (ACT) is a promising treatment modality for patients with solid tumors but has been limited by the highly fibroinflammatory and immunosuppressive tumor microenvironment (TME). Transforming growth factor-{beta} (TGF{beta}) participates in the inordinately suppressive TME in PDA. Here, we test the impact of selective Tgfbr2 deletion using CRISPR/Cas9 or genetic approaches in mesothelin (Msln)-specific T cell receptor (TCR) engineered T cells during ACT of PDA. Abrogating TGF{beta} signaling augmented TCR-engineered T cell accumulation in autochthonous and orthotopic PDA models and promoted terminal effector T cells, although this largely required inclusion of a vaccine at the time of T cell transfer. While loss of Tgfbr2 impaired CD103 upregulation, it only modestly impaired donor T cell central, tissue resident, or Tcf1+Slamf6+ stem-like memory T cell formation. These attributes ultimately result in heightened functional capacity and delayed tumor growth. Unexpectedly, however, most tumor-infiltrating engineered T cells failed to differentiate into PD-1+Lag3+ exhausted T cells (TEX) regardless of TGF{beta}R2 expression and despite abundant Msln protein expression by PDA cells. Forcing Msln epitope processing in KPC tumor cells promoted donor T cell accumulation, acquisition of PD-1 and Lag3, increased IFN{gamma} production by TCR-engineered T cells refractory to TGF{beta} and bypassed the vaccine requirement for therapeutic efficacy. Thus, promoting increased antigen processing/presentation by tumor cells while abrogating Tgfbr2 in engineered T cells can sustain donor T cell function in the suppressive TME and enhance the therapeutic efficacy of ACT. Our study supports pursuit of strategies that modulate tumor intrinsic antigen processing while relieving T cell suppression to safely promote the antitumor activity of TCR-engineered T cells.

immunology↗

bioRxiv2025

Synchronization of the collective air-breathing behavior in juvenile Arapaima gigas

Animal collectives are capable of performing behaviors with high degrees of synchrony though their members might differ consistently and substantially in the focal behavior when alone. It is thus not entirely understood how these consistent differences in behavior at the individual level can be (socially) integrated into synchronized behaviors at the collective level. Here we show an unprecedented synchronized behavior in fish - the collective air-breathing of juvenile Arapaima gigas. Individuals of this obligate air-breathing fish from South America differed in their time between consecutive breaths when recorded alone in an aquaculture facility. However, when together in a shoal of about 200 same aged individuals, breathing is executed by a substantial portion of the shoal - within the same second. Our analysis of the individual and collective breathing patterns supported by stochastic individual-based simulations of inherently non-periodic coupled oscillators revealed that this degree of collective synchronization could be achieved by having some kind of assortative interaction rules where individuals respond towards one cluster/subgroup members stronger than to other cluster/subgroup members. By integrating this cluster synchrony rule we could successfully simulate highly synchronized collective behavior with varying proportions of otherwise diverse individuals taking part, matching our experimental observations and providing a mechanism to synchronize agents that differ consistently in the behavior in focus when in isolation.

animal behavior and cognition↗

bioRxiv2025

Tracing social mechanisms and interregional connections in Early Bronze Age Societies in Lower Austria

In this study, we present the results of archaeogenetic investigations of Early Bronze Age individuals from Lower Austria, specifically associated with the Un[e]tice and Unterwolbling cultural groups. Through analysing newly generated genome-wide data of 138 individuals, we explore the social structure and genetic relationships within and between these communities. Our results reveal a predominantly patrilocal society with non-strict female exogamic practices. Additionally, Identity-by-Descent (IBD) analysis detects long-distance genetic connections, emphasizing the complex network of interactions in Central Europe during this period. Despite shared social dynamics, notable genetic distinctions emerge between the Un[e]tice and Unterwolbling groups. These insights contribute to our understanding of Bronze Age population interconnections and call for a nuanced interpretation of social dynamics in this historical context.

genetics↗

bioRxiv2024

A haplotype-based evolutionary history of barley domestication

Barley is an old crop with a complex history. Its evolution and the molecular basis of domestication have been intensely studied. This research has ruled out a single origin of the crop and motivated a model of mosaic genomics ancestry. As more and better genome sequences have become available, this concept can be refined: where do the building blocks of the mosaic, that is, the haplotypes come from? Were all cultivated barleys created equal or did some wild barley populations contribute more to some domesticated lineages? To answer these and other questions, we pursue a haplotype-based approach to connect diversity and population structure in wild and domesticated barley. We sequence the genomes of 628 genebank accessions and 23 archaeological specimens. Using these data, we infer the spatiotemporal origins of haplotypes and map the contributions of different wild barley populations either during the initial phase of domestication or through later gene flow. Ancient DNA sequences corroborate our genome-wide analysis in present-day samples. Our results indicate that an early domesticated founder population formed in the Fertile Crescent during an extended period of pre-domestication cultivation. A practical implication of our findings is that the high haplotype differentiation between barley populations, which arose possibly without, and most likely on top of, selective forces, complicates the mapping of adaptive loci.

plant biology↗

bioRxiv2024

Utilizing protein structure graph embeddings to predict the pathogenicity of missense variants

BackgroundGenetic variants can impact the structure of the corresponding protein, which can have detrimental effects on protein function. While the effect of protein truncating variants is often easier to evaluate, most genetic variants are missense variants. These variants are mostly single nucleotide variants which result in the exchange of a single amino acid. The effect on protein function of these variants can be challenging to deduce. To aid the interpretation of missense variants a variety of bioinformatic algorithms have been developed, yet current algorithms rarely directly use the protein structure as a feature to consider. ResultsWe developed a machine learning workflow that utilizes the protein-language-model ESMFold to predict the protein structure of missense variants, which is subsequently embedded using graph autoencoders. The generated embeddings are used in a classifier model which predicts pathogenicity. We provide evidence that the generated graph embeddings improve classification accuracy of a XGBoost pathogenicity predictor, which should lead to a wide applicability for human genetic diseases. Additionally, we explored different levels of abstraction of the graph embeddings and their influence on the classifier. Finally, we compare the utility of graph embeddings from different protein-folding models.

bioinformatics↗

bioRxiv2024

Better and faster collective decisions by larger fish shoals in the wild

Studies on collective cognition have provided many examples of decision-making benefits in terms of animals sharing information about predators, prey or resources in their environment. It has been shown how the efficient spread of adaptive information within groups can provide benefits which increase with group size. Little is known, however, to which extent groups also amplify maladaptive information such as false alarms and whether such costs reduce or even nullify the above benefits. Here, we investigated fish shoals in the wild that responded collec-tively with escape dives when attacked by birds. We analysed the response of shoals in reac-tion to hard-to-detect bird attacks and similar but harmless flybys as a function of shoal size. With increasing shoal size fish increasingly detected predator attacks (true positives) while their false alarms remained constant. Therefore, larger shoals became better at correctly clas-sifying potentially dangerous stimuli rather than becoming more sensitive to all stimuli poten-tially related to attacks. In addition, decision time decreased with increasing shoal size. Larger shoals were thus able to mitigate two major trade-offs inherent in solitary decision making: the trade-off between true and false positives and the trade-off between speed and accuracy. We report performance increases at shoal sizes of tens of thousands of fish and pose chal-lenges for the modelling of the underlying mechanisms.

animal behavior and cognition↗

bioRxiv2024

Mutational Constraint Analysis Workflow for Overlapping Short Open Reading Frames and Genomic Neighbours

Understanding the dark genome is a priority task following the complete sequencing of the human genome. Short open reading frames (sORFs) are a group of largely unexplored elements of the dark genome with the potential for being translated into microproteins. The definitive number of coding and regulatory sORFs is not known, however they could account for up to 1-2% of the human genome. This corresponds to an order of magnitude in the range of canonical coding genes. For a few sORFs a clinical relevance has already been demonstrated, but for the majority of potential sORFs the biological function remains unclear. A major limitation in predicting their disease relevance using large-scale genomic data is the fact that no population-level constraint metrics for genetic variants in sORFs are yet available. To overcome this, we used the recently released gno-mAD 4.0 dataset and analysed the constraint of a consensus set of sORFs and their genomic neighbours. We demonstrate that sORFs are mostly embedded into a moderately constraint genomic context, but within the gencode dataset we identified a subset of highly constrained sORFs comparable to highly constrained canonical genes.

bioinformatics↗