Biology subjects

Schmid, C.

Publications and source records attributed to Schmid, C..

12 recordsLinked to original sources

bioRxiv2026

Diversification of ligand preference in conserved Brassicaceae LORE immune receptors matches proteobacterial 3-hydroxy fatty acid profiles

Pattern recognition receptors are often conserved across plant lineages, yet how ligand sensing diversifies during evolution remains poorly understood. The receptor kinase LORE mediates Arabidopsis thaliana immune responses to bacterial medium-chain 3-hydroxy fatty acids (mc-3-OH-FAs), but its distribution and functional variation across Brassicaceae remain largely unexplored. We combined phylogenetic analysis, species-wide immune profiling, ligand-binding assays, heterologous functional testing, and A. thaliana lore-1 complementation to define LORE diversification across Brassicaceae. LORE orthologs with conserved 3-OH-C10:0 binding are present in all major Brassicaceae lineages, including the basal lineage. Functional complementation confirmed mc-3-OH-FA-sensing capacity in orthologs spanning all four lineages. By contrast, chain-length preference profiles among mc-3-OH-FAs varied between species and orthologs, ranging from narrow 3-OH-C10:0-dominated profiles to broader profiles with comparable sensitivity to 3-OH-C10:0 and 3-OH-C12:0. 3-OH-FA profiling of a diverse collection of plant-associated bacteria revealed that high levels of mc-3-OH-FAs are prevalent in Proteobacteria, and that the range of mc-3-OH-FA chain lengths produced corresponds to the chain-length preferences of Brassicaceae LORE receptors. Our results establish LORE as a Brassicaceae-restricted pattern recognition receptor with conserved mc-3-OH-FA sensing but diversified chain-length preferences, and provide an evolutionary framework for studying how ligand preference can diversify within a biologically relevant ligand spectrum while core receptor function is maintained.

plant biology↗

bioRxiv2026

Reinforcement learning for closed-loop optimisation of spatiotemporal stimulation in patterned neuronal networks

Understanding how neuronal circuits transform inputs into outputs requires systematic perturbation under controlled conditions. In vitro neuronal networks can be cultured on microelectrode arrays (MEAs) that allow stimulation and recording, and microfluidic patterning can constrain network topology to yield stable stimulation-evoked responses. Yet, the space of possible spatiotemporal stimulation patterns remains too large for exhaustive exploration. Additionally, the evoked responses depend on prior stimulation history. Here, we embedded topologically constrained biological neuronal networks in a closed-loop reinforcement learning (RL) framework that sends electrical stimuli to the MEA and evaluates the evoked responses to efficiently identify stimulation patterns that evoke specific target activity motifs. We extend inkube, a low-cost, open-source electrophysiology system from off-the-shelf components, with closed-loop electrophysiology. This enables reliable delivery of stimulation at single-sample precision with millisecond-range round-trip times. It also allows independent RL agents to control multiple networks simultaneously. We first demonstrated that stimulation-evoked responses in engineered recurrent networks were stable and separable across the action space over hours of continuous operation. We characterised the dependency of responses on prior stimulation history, finding state dependence in a subset of stimulus pairs. We then benchmarked different RL agents, multi-armed bandits (MABs) and linear contextual bandits (LCBs), on the task of identifying stimulation patterns that maximise the length of clockwise-circular firing sequences. All agents learned to improve reward during training with respect to random stimulation. Agents converged on non-trivial stimulation patterns that span the full action space rather than mirroring the target motif. LCBs exploited the identified state dependence through action switching, yielding measurable reward benefits for specific action pairs, though this did not translate into overall performance gains over MABs. All hardware designs and software are publicly available, providing an accessible platform for goal-directed functional characterisation of engineered neuronal networks at single-spike resolution.

neuroscience↗

bioRxiv2026

Inferring Migration Networks with Time-Lagged F2 Statistics

Major demographic events, such as population bottlenecks, founder effects, range expansions, and admixture events, have left lasting imprints on human genetic diversity. Ancient DNA (aDNA) sequencing now makes it increasingly possible to observe these signals across time, opening new avenues to address long-standing questions in human demographic history. Yet, deciphering this genetic archive of demographic history is challenging due to high levels of noise, and the complex ways in which demographic processes shape genetic variation. Here, leveraging the linear time evolution of the expectation of neutral allele frequencies, we develop a method to uncover systematic patterns of gene flow from metapopulation time-series data. We show that directional migration rates can be inferred via linear regression on time-dependent genetic dissimilarity between populations, quantified by an extended F2 statistic evaluated between successive time points. Despite small sample sizes, the method reliably infers migration rates from simulated data by integrating information across multiple time slices. Applied to aDNA sampled from the last 6000 years, we recover signals of well-documented migrations and infer an ancient pan-European migration network. While complementing existing tools that estimate static ancestry proportions, our framework tracks how ancestry is dynamically redistributed through time.

evolutionary biology↗

bioRxiv2026

The Legionella phosphocholinase AnkX modulates IMPDH2 regulation and cytoophidia dynamics

Legionella pneumophila, the causative agent of Legionnaires disease, secretes more than 300 different effector proteins into the host cell to modulate processes such as signal transduction, membrane dynamics, and metabolism. A key regulator of cellular metabolism and proliferation is inosine 5-monophosphate dehydrogenase type II (IMPDH2), which catalyzes the rate-limiting step of de novo GTP biosynthesis. IMPDH2 assembles into filaments and larger structures known as cytoophidia, which enable fine-tuned regulation of enzymatic activity in response to changing nucleotide demands. Here, we identify human IMPDH2 as a previously unrecognized host target of the Legionella effector AnkX. We show that AnkX post-translationally modifies IMPDH2 within its regulatory domain by covalently attaching a phosphocholine moiety. While this post-translational modification does not alter the catalytic activity of IMPDH2, it disrupts filament formation, thereby impairing nucleotide-dependent regulation of enzyme activity. Consequently, AnkX-mediated phosphocholination affects IMPDH2 filament assembly, cytoophidia formation, and subcellular localization to the specific Legionella-containing vacuole (LCV). Thus, L. pneumophila subverts host GTP metabolism by posttranslationally modifying a central enzyme of the GTP biosynthetic pathway. Graphical abstract description O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=170 SRC="FIGDIR/small/701698v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@18f7724org.highwire.dtl.DTLVardef@1d70e86org.highwire.dtl.DTLVardef@1fa8890org.highwire.dtl.DTLVardef@11bc5ba_HPS_FORMAT_FIGEXP M_FIG C_FIG The Legionella effector AnkX post-translationally modifies the human host enzyme IMPDH2 by transferring a phosphocholine group using CDP-choline as co-substrate. We identified the modification site and discovered that this post-translational modification disrupts the ability of IMPDH2 to assemble into filaments and cytoophidia. By shifting the equilibrium toward free octamers, AnkX-mediated PCylation perturbs the structural regulation of IMPDH2 and alters GTP metabolism in L. pneumophila-infected host cells. This figure was inspired by (https://www.biorxiv.org/content/10.1101/2024.07.29.605679v2).

microbiology↗

bioRxiv2025

Application of Down-Phase Targeted Auditory Stimulation During Sleep in a Home Setting: A Feasibility Study Across Seven Consecutive Nights

IntroductionSleep deprivation, also known as "wake therapy", has long been recognized as a powerful antidepressant. Phase-targeted auditory stimulation (PTAS) has been suggested as an auspicious non-invasive nocturnal substitute for sleep deprivation. Down-PTAS with stimuli presentation during the down-phase of slow waves, in particular, may have therapeutic potential to improve mood by selectively reducing slow-wave activity (SWA). With down-PTAS being more nuanced than sleep deprivation, its effects presumably develop over multiple nights, thus necessitating transfer from sleep laboratory to home settings. Therefore, in this study, we investigated the technical feasibility, tolerability, and potential risks associated with a wearable device employed for down-PTAS in an unsupervised home setting. MethodsWe recorded frontal EEG using the MHSL Sleepband Version 3 (MHSL-SB) in five healthy participants (23.8 {+/-} 0.8 years, three women) over seven consecutive nights with (STIM) and without (SHAM) tone application at their homes. Tones were delivered shortly before the negative peak of slow waves during N2/N3 sleep, using alternating 10-s ON-OFF windows. Sleep staging followed American Academy of Sleep Medicine (AASM) guidelines. Of the 67 available sleep recordings, we excluded three due to parameter adjustments and another six for technical issues, leaving 58 sleep recordings (29 SHAM, 29 STIM) for further analyses. Low SWA (0.5-2 Hz, lSWA) was computed across the entire night, ON-OFF windows, and sleep cycles. Time-frequency analyses were performed time-locked to stimulus onset. We computed linear mixed effect models with condition (STIM vs. SHAM) as a fixed effect and random participant intercepts. ResultsData quality was sufficient for analyses in 87% of the available sleep recordings, with an average of over 1500 correctly delivered stimuli per recording. Down-PTAS did not affect sleep architecture, but it reduced lSWA primarily during the first sleep cycle when sleep pressure and lSWA were highest, and particularly in OFF windows. Additionally, stimulation elicited a K-complex-like auditory evoked response, aligning with previous laboratory findings. ConclusionOur results demonstrate the successful implementation of down-PTAS in a home setting, confirming its feasibility for long-term, unsupervised use. The K-complex-like auditory evoked response may mask potential reductions in lSWA during ON windows, posing a scientific analytical challenge. Taken together, future clinical research should now assess the effects of down-PTAS in depressed patients, in whom reducing lSWA may partly mimic sleep deprivation.

neuroscience↗

bioRxiv2024

Poseidon - A framework for archaeogenetic human genotype data management

1The study of ancient human genomes, archaeo- or palaeogenetics, has accelerated in the last ten years, with now thousands of new ancient genomes being released each year. Operating at the interface of genetics, anthro-pology and archaeology, this data includes features from all three fields, including rich meta- and context-data, for example regarding spatiotemporal provenience. While archives and standards for genetic sequencing data al-ready exist, no such infrastructure exists for combined genetic and meta-data that could ensure FAIR principles across the field. Here, we present Poseidon, a framework for open and FAIR data handling in archaeogenetics, including a specified package format, software tools, and public, community-maintained online archives. Poseidon emphasises human- and machine-readable data storage, the development of convenient and interoperable command line software, and a high degree of source granularity to elevate the original data publication to the main unit of long-term curation.

genetics↗

bioRxiv2023

Passive exposure to task-relevant stimuli enhances categorization learning

Learning to perform a perceptual decision task is generally achieved through sessions of effortful practice with feedback. Here, we investigated how passive exposure to task-relevant stimuli, which is relatively effortless and does not require feedback, influences active learning. First, we trained mice in a sound-categorization task with various schedules combining passive exposure and active training. Mice that received passive exposure exhibited faster learning, regardless of whether this exposure occurred entirely before active training or was interleaved between active sessions. We next trained neural-network models with different architectures and learning rules to perform the task. Networks that use the statistical properties of stimuli to enhance separability of the data via unsupervised learning during passive exposure provided the best account of the behavioral observations. We further found that, during interleaved schedules, there is an increased alignment between weight updates from passive exposure and active training, such that a few interleaved sessions can be as effective as schedules with long periods of passive exposure before active training, consistent with our behavioral observations. These results provide key insights for the design of efficient training schedules that combine active learning and passive exposure in both natural and artificial systems.

neuroscience↗

bioRxiv2021

Estimating human mobility in Holocene Western Eurasia with large-scale ancient genomic data

The recent increase in openly available ancient human DNA samples allows for new, large-scale meta analysis applications. Trans-generational past human mobility is one of the key aspects that ancient genomics can contribute to, since changes in ancestry - unlike cultural changes seen in the archaeological record - necessarily reflect movements of people. Here we present a new algorithm to quantify past human mobility from large ancient genomic datasets. The key idea of the method is for each individual to compare a hypothetical genetic "origin" point with its actual burial point in space. This is achieved by first creating an interpolated ancestry field through space and time based on Multidimensional scaling and Gaussian process regression, and then using this field to map the ancient individuals into space according to their genetic profile. We apply this new algorithm to a dataset of 3191 aDNA samples with genome-wide data from Western Eurasia in the last 10,000 years and derive a diachronic measure of mobility for subregions in Western, Central, Southern and Eastern Europe. For regions and periods with sufficient data coverage, our mobility estimates show general concordance with previous results, but also reveal new signals of movements beyond the well-known key events. Significance StatementAncient human DNA (aDNA) extracted from archaeological contexts (e.g. burials) allows to reconstruct past population movements. Relevant methods work by calculating proportions of shared ancestry among individuals or groups in order to answer specific, regional research questions. Here, we propose a largescale algorithm to quantify human mobility through time and space using bulk aDNA data. The algorithm has two core components: i) Interpolation of the spatio-temporal distribution of genetic ancestry to obtain a continuous ancestry information field and ii) estimation of the spatial origin of each input sample by projecting its ancestry into this field. We apply this to thousands of published genomic samples in the last 10,000 years to trace diachronic mobility patterns across Western Eurasia.

genomics↗

bioRxiv2021

Ion channel expression and electrophysiology of singular human (primary and induced pluripotent stem cell derived) cardiomyocytes

SUMMARYHuman induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) and primary human cardiomyocytes are used for in vitro cardiac safety testing. hiPSC-CMs have been associated with a vast heterogeneity regarding single-cell morphology, beating behavior and action potential duration, prompting a systematic analysis of single-cell characteristics. Previously published hiPSC-CM studies revealed action potentials with nodal-, atrial- or ventricular-like morphology, although ion channel expression of singular hiPSC-CMs is not fully understood. Other studies used single-cell RNA-sequencing, however, these studies did not extensively focus on expression patterns of cardiac ion channels or failed to detect ion channel transcripts. Thus, the current study used a single-cell patch-clamp-RT-qPCR approach to get insights into single-cell electrophysiology (capacitance, action potential duration at 90% of repolarization, upstroke velocity, spontaneous beat rate, and sodium-driven fast inward current) and ion channel expression (HCN4, CACNA1G, CACNA1D, KCNA5, KCNJ4, SCN5A, KCNJ2, CACNA1D, and KCNH2), the combination of both within individual cells, and their correlations in single cardiomyocytes. We used commercially available hiPSC-CMs (iCell cardiomyocytes, atrial and ventricular Pluricytes) and primary human adult atrial and ventricular cardiomyocytes. Recordings of electrophysiological parameters revealed differences between the cell groups and variation within the hiPSC-CMs groups as well as within primary ventricular cardiomyocytes. Expression analysis on mRNA level showed no-clear-cut discrimination between primary cardiac subtypes and revealed both similarities and differences between all cell groups. Higher expression of atrial-associated ion channels in primary atrial cardiomyocytes and atrial Pluricytes compared to their ventricular counterpart indicates a successful chamber-specific hiPSC differentiation. Interpretation of correlations between the single-cell parameters was challenging, as the total data set is complex, particularly for parameters depending on multiple processes, like the spontaneous beat rate. Yet, for example, expression of SCN5A correlated well with the fast inward current amplitude for all three hiPSC-CM groups. To further enhance our understanding of the physiology and composition of the investigated hiPSC-CMs, we compared beating and non-beating cells and assessed distributions of single-cell data. Investigating the single-cell phenotypes of hiPSC-CMs revealed a combination of attributes which may be interpreted as a mixture of traits of different adult cardiac cell types: (i) nodal-related pacemaking attributes are spontaneous generation of action potentials and high HCN4 expression; and (ii) non-nodal attributes: cells have a prominent INa-driven fast inward current, a fast upstroke velocity and a high expression of SCN5A. In conclusion, the combination of nodal- and non-nodal attributes in single hiPSC-CMs may hamper the interpretation of drug effects on complex electrophysiological parameters like beat rate and action potential duration. However, the proven expression of specific ion channels enables the evaluation of drug effects on ionic currents in a more realistic environment than in recombinant systems.

pharmacology and toxicology↗

bioRxiv2020

Rhamnolipids and their 3-(3-hydroxyalkanoyloxy)alkanoic acid precursors activate Arabidopsis innate immunity through two independent mechanisms

Plant innate immunity is activated upon perception of invasion pattern molecules by plant cell-surface immune receptors. Several bacteria of the genera Pseudomonas and Burkholderia produce rhamnolipids (RLs) from L- rhamnose and (R)-3-hydroxyalkanoate precursors (HAAs). RL and HAA secretion is required to modulate bacterial surface motility, biofilm development, and thus successful colonization of hosts. Here, we show that the lipidic secretome from the opportunistic pathogen Pseudomonas aeruginosa mostly comprising RLs and HAAs stimulates Arabidopsis immunity. We demonstrate that HAAs are sensed by the bulb-type lectin receptor kinase LIPOOLIGOSACCHARIDE-SPECIFIC REDUCED ELICITATION/S-DOMAIN-1-29 (LORE/SD1-29) that also mediates medium-chain 3-hydroxy fatty acid (mc-3-OH-FA) perception in the plant Arabidopsis thaliana. HAA sensing induces canonical immune signaling and local resistance to plant pathogenic Pseudomonas infection. By contrast, RLs trigger an atypical immune response and resistance to Pseudomonas infection independent of LORE. Thus, the glycosyl moieties of RLs, albeit abolishing sensing by LORE, do not impair their ability to trigger plant defense. In addition, our results show that RL-triggered immune response is affected by the sphingolipid composition of the plasma membrane. In conclusion, RLs and their precursors released by bacteria can both be perceived by plants but through distinct mechanisms. SignificanceActivation of plant innate immunity relies on the perception of microorganisms through self and nonself elicitors. Rhamnolipids and their precursor HAAs are exoproducts produced by beneficial and pathogenic bacteria. They are involved in bacterial surface dissemination and biofilm development. As these compounds are released in the extracellular milieu, they have the potential to be perceived by the plant immune system. Our work shows that both compounds independently activate plant immunity. We demonstrate that HAAs are perceived by the receptor protein kinase LORE. By contrast, rhamnolipids are not senses by LORE but activate a non-canonical immune response affected by the sphingolipid composition of the plant plasma membrane. Thus, plants are able to sense bacterial molecules as well as their direct precursors to trigger a distinct immune response.

plant biology↗

bioRxiv2019

Mechanotransduction activity facilitates hair cell toxicity caused by the heavy metal cadmium

Hair cells are sensitive to many insults including environmental toxins such as heavy metals. We show here that cadmium can consistently kill hair cells of the zebrafish lateral line. Disrupting hair cell mechanotransduction genetically or pharmacologically significantly reduces the amount of hair cell death seen in response to cadmium, suggesting a role for mechanotransduction in this cell death process, possibly as a means for cadmium uptake into the cells. Likewise, when looking at multiple cilia-associated gene mutants that have previously been shown to be resistant to aminoglycoside-induced hair cell death, resistance to cadmium-induced hair cell death is only seen in those with mechanotransduction defects. In contrast to what was seen with mechanotransduction, significant protection was not consistently seen from other ions previously shown to compete for cadmium uptake into cells or tissue including zinc and copper. These results show that functional mechanotransduction activity is playing a significant role in cadmium-induced hair cell death.

neuroscience↗

bioRxiv2019

LSM2-8 and XRN-2 contribute to the silencing of H3K27me3-marked genes through targeted RNA decay

In fission yeast and plants, RNA-processing pathways contribute to constitutive and facultative heterochromatin silencing, complementing well-characterized pathways of transcriptional repression. However, it was unclear whether this additional level of regulation occurs in metazoans. Here we describe a pathway of silencing in C. elegans somatic cells, in which the highly conserved, RNA binding complex LSM2-8 selectively silences heterochromatic reporters and endogenous genes bearing the Polycomb mark H3K27me3. Importantly, the LSM2-8 complex works cooperatively with XRN-2, a 5-3 exoribonuclease, and disruption of the pathway leads to mRNA stabilization. This selective LSM2-8-mediated RNA degradation does not target nor depend on H3K9me2/me3, unlike previously described pathways of heterochromatic RNA degradation. Intriguingly, the loss of LSM2-8 coincides with a localized drop in H3K27me3 levels on lsm-8-sensitive loci only. Together this defines a mechanism of RNA degradation that selectively targets a subset of H3K27me3-marked genes, revealing an unrecognized layer of regulation for facultative heterochromatin in animals.

molecular biology↗