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Hess, M.

Publications and source records attributed to Hess, M..

At least 19 recordsLinked to original sources

Histomonas meleagridis infection and vaccination protection in chickens -- a metabolomics study

Histomonosis, caused by Histomonas meleagridis, is a severe disease in poultry with main pathological lesions in ceca and liver, leading to significant animal suffering and economic losses, with no licensed treatments available. While cecal pathology and microbiota disruption have been documented, the metabolic consequences of infection and vaccination remain poorly understood. Here, we used untargeted LC-MS metabolomics to profile cecal tissue and luminal digesta in a controlled vaccination-challenge chicken trial (n=100, 25 birds/group), including uninfected and unvaccinated but challenged controls, together with birds vaccinated either cloacally, or orally via an edible gel following challenge, across five post-challenge timepoints. Results showed that H. meleagridis infection caused extensive, time-dependent disruption of the cecal metabolome, especially at 7-14 days post-infection (DPI). At DPI 14, 325 tissue and 359 digesta metabolites were significantly altered in unvaccinated challenged birds. Infection was associated with depletion of microbiota-related metabolites, including dicarboxylic acids, tryptophan indoles, phytochemical derivatives, bilirubin catabolites, phenolics, vitamins, and secondary bile acids, alongside accumulation of microbial substrates and fermentation products. Changes in the host-associated metabolites indicated mucosal inflammation, epithelial injury, mitochondrial and amino acid metabolic disturbance, oxidative stress, and membrane lipid remodeling. Cloacal vaccination provided greater metabolic protection than oral vaccination, with 78.3% of disrupted metabolites preserved at DPI 14, compared with 60.7% vaccination by oral gel delivery, pointing towards the importance of vaccine take. By DPI 21, cloacally vaccinated birds showed nearly complete metabolic recovery across most pathway groups, whereas gel-vaccinated birds retained broader metabolic disturbance. These findings reveal histomonosis as a disruption of the cecal host-microbiota metabolic interface and provide a metabolite-level framework for future studies of pathogenesis, vaccine development, and prevention strategies.

pharmacology and toxicology↗

Shield-4i: A Whole-mount Multiplexed Imaging Platform for Studying Multiscale Information Flow in 3D Multicellular Systems

Self-organization in multicellular systems emerges from reciprocal interactions across spatiotemporal scales. Understanding how subcellular organization, tissue remodeling and developmental outcome are coordinated, thus requires simultaneous profiling of biological processes spanning orders of magnitudes in space and time. Yet, a unified experimental and computational framework for capturing these multiscale properties across in vivo and stem cell-derived systems has been lacking. Here, we introduce Shield-4i, a high-throughput, versatile, and accessible method for automated in toto iterative immunofluorescence imaging of whole-mount structures at subcellular resolution. Through polyepoxide-mediated inter- and intramolecular crosslinking, Shield-4i preserves sample integrity during repeated SDS-based elution cycles. We benchmark this method in gastrulating zebrafish and post-implantation mouse embryos and demonstrate its applicability to stem cell-derived 3D gastruloids, achieving up to 30-plex measurements of proteins and their post-translational modifications across hundreds of samples. To enable scalable analysis, we developed a dedicated 3D workflow supporting OME-Zarr-based and FAIR-compliant data storage, standardized processing, and multiscale feature extraction. Applying this framework to investigate gastruloid self-organization, we quantify how cellular physicochemical state and signaling properties encode cell position along embryonic axes and connect molecular patterning and fate decisions to morphological symmetry breaking at the multicellular scale. Together, Shield-4i provides a high-content in toto spatial proteomics platform for dissecting multiscale information flow and self-organization in multicellular systems.

systems biology↗

Synthetic-data augmented calibration for expert-informed rare disease models

Clinical data for rare diseases are sparse, noisy, and heterogeneous, complicating calibration of ordinary differential equation (ODE) models. Thus, we introduce a noise-robust calibration in latent space that combines expertderived ODEs with learned latent representations. Our approach leverages synthetic ODE trajectories, augmenting our scarce observations to train a model-specific autoencoder representation and imputer. During calibration, observed and ODE-generated trajectories are compared in latent space, and ODE parameters are updated by minimizing their latent distance. In a controlled ABCDE simulation model, the imputer outperformed a carry-forward baseline for moderate parameter shifts, parameter recovery remained stable under random missingness, calibration remained robust to additional noise variables despite reduced downstream identifiability, and distinct dynamics formed visually separable latent trajectories. On a custom developed ODE model for real Epidermolysis Bullosa patients, the calibrated phenomenological model reproduced patient-level trajectories from sparse observations. Thus, we conclude that our latent-space calibration approach supports rare-disease modeling.

bioinformatics↗

Novel pESI-encoded autotransporter adhesin PeaP of epidemic Salmonella strains mediates adhesion, atypical biofilm formation, and poultry colonization

Salmonella enterica serovar Infantis (SIN) has rapidly become the dominant serovar in poultry worldwide, a success largely linked to the acquisition of the 285 kb megaplasmid pESI. While pESI-encoded antibiotic-resistance and iron-uptake systems are well characterized, pESI-mediated adhesion mechanisms remain poorly understood. Here we identify a novel pESI-encoded monomeric autotransporter adhesin, designated PeaP (pESI-encoded autotransporter protein), and demonstrate its pivotal role in atypical biofilm formation, interference with motility, and colonization of the chicken host. Biofilm assays revealed that pESI-harboring strain SIN 119944 forms robust biofilms at 37 {degrees}C and 42 {degrees}C, temperatures at which CsgD-dependent biofilm formation is negligible. Deletion of csgD did not impair this phenotype, whereas deletion of peaP abolished high-temperature biofilm development and restored motility to wild-type levels. Proteomic profiling of sessile versus planktonic cells highlighted PeaP as the most abundant pESI-derived protein in the biofilm fraction. AlphaFold-based modelling and negative-stain transmission electron microscopy showed that PeaP comprises a C-terminal {beta}-barrel and a 1,500 aa passenger domain with three tandem repeats, projecting filamentous appendages [~]37-nm from the outer membrane. Antibody blockade of PeaP reduced surface adhesion >6-fold, confirming its adhesive function. In an infection model of 2 day-old chicken, the peaP mutant displayed significantly lower colonization, indicating PeaP-mediated adhesion in vivo. Collectively, pESI-positive SIN deploys PeaP for CsgD-independent, temperature-tolerant biofilm formation and enhanced gastrointestinal colonization, providing a mechanistic basis for the epidemic spread of this multidrug-resistant pathogen in poultry.

microbiology↗

Metagenomic strain-resolved DNA modification patterns link extrachromosomal genetic elements to host strains

DNA modification is central to microbial defense against extrachromosomal genetic elements (ECEs), consequently ECEs tend to adopt their hosts modification patterns. Shared ECE-host modification patterns enable linking ECEs to their hosts, but modification detection tools are designed for single genomes and are ineffective at metagenome scale. Here, we present MODIFI, software for detecting DNA modifications in metagenomes. MODIFI assumes that each k-mer in a metagenome is mostly unmodified and calculates background signal levels for that k-mer from PacBio HiFi reads, eliminating the need for matched control experiments. MODIFI ECE-host linkages were validated using >1,000 isolate and mock microbiome datasets. Illustrating the approach, we identified 315 strain-resolved, non-redundant ECE-host linkages in environmental and human metagenomes. In infant gut microbiomes, a chromosomal inversion in Enterococcus faecalis alters host and associated plasmid methylation motifs simultaneously. Overall, MODIFI solves a major bottleneck in DNA modification analysis and provides a foundational tool for understanding microbial epigenomics.

microbiology↗

1100 Synthetic Benchmark Problems for Dynamic Modeling of Cellular Processes

MotivationSystems biology strives to unravel the complex dynamics of cellular processes, often with the help of ordinary differential equations (ODEs). However, the sparsity of measured data and the strong non-linearity of common ODEs introduce severe numerical problems in typical modeling tasks. This gave rise to the development of many computational algorithms that must be systematically evaluated to ensure optimal method choices. Currently, the amount of well curated models for such benchmarking efforts is insufficient, as building and calibrating biologically reasonable models based on experiments requires years of work. ResultsWe present a large-scale collection of 1100 synthetic modeling problems, generated based on the ODE systems and experimental designs of 22 published modeling problems. This is achieved by extending a recent method for simulation of time-course data for randomly generated observation functions to also include realistic measurement patterns across multiple experimental conditions. By analyzing data and model characteristics, optimization performance and parameter identifiability, we show that the synthetic problems provide both a realistic and diverse extension of the existing problem space. Hence, the synthetic collection provides a valuable resource for benchmarking in dynamic modeling. Availability and ImplementationBenchmark problems and algorithm are publicly available at https://github.com/niklasneubrand/1100SyntheticBenchmarksODE and https://zenodo.org/records/14008247.

systems biology↗

Hypophosphite is a naturally-occurring selective inhibitor of syntrophic methanogenesis

Microbial methanogenesis is a major contributor to global warming and methane fluxes represent a loss of energy and electrons from industrial ecosystems. The chemical space of methane control strategies is still under-explored. Most known methanogenesis inhibitors target methanogenic archaeal enzymes. However, interference with syntrophic electron exchange in methanogenic systems presents an additional target for methane control. Here we show that hypophosphite (H2PO2-), an inorganic formate analog, is a potent and selective inhibitor of syntrophic methanogenesis versus primary fermentation in rice field sediments and cattle rumens. Hypophosphite is also generally recognized as safe and relatively non-toxic to plants and animals. Genetic screens and physiological assays in the model methanogen Methanococcus maripaludis S2 implicate formate metabolism as the target of hypophosphite inhibition. Currently, there is no known biological pathway for anaerobic hypophosphite oxidation and hypophosphite is stable in anoxic sediments for weeks to months. Given its widespread natural occurrence, we propose that hypophosphite may modulate carbon cycling in natural environments. Taken together, our results suggest that hypophosphite could be used as a safe, inexpensive, strategy for methane control in syntrophic methanogenic ecosystems.

microbiology↗

Fractal: Towards FAIR bioimage analysis at scale with OME-Zarr-native workflows

The rapid growth in microscopy data volume, dimensionality, and diversity urgently calls for scalable and reproducible analysis frameworks. While efforts on the open OME-Zarr format have helped standardize the storage of large microscopy datasets, solutions for standardized processing are still lacking. Here, we introduce two complementary contributions to address this gap: 1) the Fractal task specification, defining OME-Zarr processing units that can interoperate across computational environments and workflow engines, and 2) the Fractal platform, using this specification to enable scalable and modular OME-Zarr-native analysis workflows. We demonstrate their use across diverse biological research data, including terabyte-scale multiplexed, volumetric, and time-lapse imaging. In a clinical setting, we show that Fractal workflows achieve near-identical quantification of millions of cells across independent deployments, demonstrating the reproducibility required for translational applications. With its growing community of contributors, the Fractal ecosystem provides a foundation for FAIR microscopy image analysis relying on open file formats.

bioinformatics↗

Multiplexed embryo profiling links cellular state to zygotic genome activation in single cells

Multicellular self-organization relies on complex interactions across multiple length scales, shaping the transcriptional activity and molecular phenotype of individual cells. Despite advances in spatial omics technologies, mapping protein state composition at high spatial resolution to capture the molecular phenotype across whole-mount structures has remained challenging. Here, we introduce high-throughput 3D iterative indirect immunofluorescence imaging (3D-4i) for the simultaneous detection of multiple proteins and protein states across the entire embryo, and a 3D-dedicated computer vision pipeline for quantifying morphological and molecular properties across subcellular, single-cell, and whole-embryo scales in hundreds of samples. Applying this pipeline to early zebrafish embryos undergoing mid-blastula transition, we determine the cell cycle phase for each cell across the embryo, allowing us to uncover the spatiotemporal dynamics by which global meta-synchronous mitotic waves transition to cell cycle desynchronization. Using statistical analysis, we find that cell cycle phase is the major source of variability in transcription within a division cycle, and combining this with analysis of key transcription factors and chromatin modifier state enables accurate prediction of transcriptional output during zygotic genome activation in individual cells. Collectively, our results demonstrate the strength of 3D-4i in quantifying multimodal effects across spatiotemporal scales and show how it can be utilized to unravel the complex contribution of causal factors that collectively drive multicellular self-organization.

systems biology↗

Shifts in ruminant fermentation during inhibition of methanogenesis are reflected in the isotope compositions of volatile fatty acids.

Ruminant animals are a major source of the potent greenhouse gas methane, but they are also a tractable target for climate solutions. Several strategies have been developed to lower methane emissions from ruminants, including feed additives that inhibit methanogenic archaea. Sustainable solutions must eliminate methane emissions without hampering the microbial fermentation of plant material, which the animal host relies on for carbon and energy. However, current tools cannot directly quantify or characterize the metabolic pathways of in vivo ruminant fermentation. To fill this gap, we developed an electrospray (ESI) Orbitrap mass spectrometry technique to measure the stable isotope ratios (13C /12C and 2H/1H) of volatile fatty acids (VFAs) at their natural isotopic abundances directly from rumen fluid. We tested this technique on in vitro incubations of rumen fluid fed three different substrates with and without the additive Asparagopsis taxiformis. We found that the isotope composition of VFAs changed and reflected a remodeling of microbial fermentation pathways. Specifically, acetates{delta} 13C value increased when methanogens were inhibited, suggesting a lower relative rate of acetate synthesis and a lack of acetogenic activity. Furthermore, the{delta} 2H value of propionate decreased, which may indicate a change in the balance between the two pathways of propionate synthesis toward the less energetic acrylate pathway. Both signals were consistent across feed types. Taken together, our results provide evidence that fermentative metabolism is remodeled during methanogenesis inhibition and decreases relative fluxes through ATP-generating pathways. More broadly, this study demonstrates the utility of ESI-Orbitrap-based isotopic analysis for studying rumen microbial ecology. IMPORTANCESlowing methane production from ruminant animals (e.g. cows) is a major target for mitigation of anthropogenic climate change. While strategies that eliminate microorganisms producing methane have been successful, they have cascading impacts on the microbial ecology of the rumen, possibly affecting animal health and productivity. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=99 SRC="FIGDIR/small/682381v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@1368f20org.highwire.dtl.DTLVardef@ee87baorg.highwire.dtl.DTLVardef@10f714org.highwire.dtl.DTLVardef@1cd4f6a_HPS_FORMAT_FIGEXP M_FIG C_FIG Of particular importance is microbial fermentation, which generates easily digested volatile fatty acids (VFAs) from hard-to-breakdown plant matter. To better understand how fermentation responds to methane mitigation strategies, we measured the isotope composition of VFAs in cow rumen. Our results indicate that fermentation changes pathways when methane production is inhibited to those that generate less energy for the cell. As methane mitigation strategies are developed in the coming decade, isotopic analysis of VFAs may be a useful and accessible contribution to our understanding of rumen microbiology.

microbiology↗

Aviadenovirus structure: a highly thermostable capsid in the absence of stabilizing proteins

High-resolution structural studies have mainly focused on two out of the six adenovirus genera: mastadenoviruses and atadenoviruses. Here we report the high-resolution structure of an aviadenovirus, the poultry pathogen fowl adenovirus serotype 4 (FAdV-C4). FAdV-C4 virions are highly thermostable, despite lacking minor coat and core proteins shown to stabilize the mast- and atadenovirus particles, and having no genus-specific cementing proteins. Unique structural features of the FAdV-C4 hexon include a large insertion at the trimer equatorial region, and a long N-terminal tail. Protein IIIa conformation is closer to atadenoviruses than to mastadenoviruses, while protein VIII diverges from all previously reported structures. We interpret these differences in light of adenovirus evolution. Finally, we discuss the possible role of core composition in determining capsid stability properties. These results enlarge our view on the structural diversity of adenoviruses, and provide useful information to counteract fowl pathogens or use non-human adenoviruses as vectors.

molecular biology↗

Subcellular plant carbohydrate metabolism under elevated temperature

In many plant species, exposure to a changing environmental temperature regime induces an acclimation response which ultimately increases a plants thermotolerance. Under elevated temperature, membrane systems need remodelling to counteract de-stabilising thermodynamic effects. This also affects photosynthesis and carbohydrate metabolism due to heat affected protein functions, enzyme activities and transport processes across membrane systems. In the present study, a combination of electrolyte leakage assays and chlorophyll fluorescence measurements was applied to quantify heat tolerance before and after heat acclimation of Arabidopsis thaliana at different temperature regimes. Subcellular carbohydrate concentrations were determined in a combined approach of non-aqueous fractionation and 3D reconstruction of mesophyll cells and subcellular compartments using serial block-face scanning electron microscopy. Across temperature regimes between 32 {degrees}C and 38 {degrees}C, 7 days heat acclimation at 34 {degrees}C was found to most efficiently increase tissue heat tolerance. Under such conditions, cytosolic sucrose concentrations were stabilised by a shift of sucrose cleavage rates into the vacuolar compartment while invertase-driven cytosolic sucrose cleavage was found to be efficiently quenched by fructose and glucose acting as competitive and non-competitive inhibitors, respectively. Finally, this study provides strong evidence for a sucrose concentration gradient from the cytosol into the vacuole which might directly affect the physiological role and direction of proton gradient-driven sugar transport across the tonoplast.

plant biology↗

Red seaweed supplementation suppresses methanogenesis in the rumen, revealing potentially advantageous traits among hydrogenotrophic bacteria

Macroalgae belonging to the genus Asparagopsis have been shown to reduce the production of methane (CH4) during rumen fermentation, while increasing feed efficiency when added to the feed of cattle. However, little is known about how the microbial community in the rumen responds to Asparagopsis supplementation, and how changes in the rumen microbiome may contribute to shifts in rumen function and ultimately the hosts phenotype. In this study, we generated and analyzed metagenomic and metatranscriptomic data from the microbiome associated with rumen fluid collected from two cohorts of lactating dairy cows, one fed a diet supplemented with Asparagopsis armata (treatment) and another fed the same diet without A. armata supplementation (control). The reduction of CH4 emission from animals that received A. armata was coupled to a qualitative decrease in relative archaeal abundance and a significant reduction in the transcription of methanogenesis pathways. Additionally, a significant decrease in the transcription of genes for complex carbon catabolism and a re-organization of the expression profile of carbon catabolic genes at the species level was observed in treated animals. Increased H2 production, a consequence of methanogenesis suppression, was coupled to a significant increase in the transcription of hydrogenases that mediate hydrogenotrophic metabolism in the treatment group. Analysis of metatranscriptome data identified a single uncultured hydrogenotrophic bacterial species (a Duodenibacillus sp.) as the dominant driver of this transcriptional change. Comparative genomic analysis between the Duodenibacillus sp. and other hydrogenotrophic rumen organisms revealed metabolic traits in the Duodenibacillus that may provide a competitive advantage in H2 scavenging. These findings provide an initial understanding of how rumen microbiota respond to a promising CH4 reducing feed additive, and may serve as a model to understand alternative stable rumen microbiome states that produce less methane and increase animal productivity.

microbiology↗

HvNotch coordinates two independent pattern forming systems during head regeneration in Hydra by supporting a lateral inhibition process restricting the tentacle system

Hydra polyps regenerate lost body parts, including the head. In addition, Hydra head tissue has organizer properties thus being able to recruit body column tissue from a host polyp to produce ectopic hydranths after transplantation. These pattern forming processes involve Notch- and Wnt/{beta}-catenin-signaling. Hydra head regeneration consists of two parts, hypostome/organizer and tentacle development. Previous work had shown that the Notch inhibitor DAPT blocks hypostome regeneration and organizer formation, but not the appearance of tentacle genes and tentacle tissue. Here we show that the {beta}-catenin inhibitor iCRT14 blocks tentacle regeneration, but not regeneration of hypostome and organizer tissue. Using RT-qPCR gene expression analyzes during head regeneration we found that DAPT inhibits HyWnt3- and HyBMP2/4 expression and expression of transcriptional repressor genes including CnGsc, Sp5 and HyHes, while increasing expression of HyBMP5/8b and the c-fos-related gene HyKayak. ICRT14 blocks expression of the tentacle specification factor HyAlx, but not expression of HyWnt3. Thus, in accordance with regeneration of two head structures we find two signaling and gene expression modules with HyWnt3 and HyBMP4 part of a hypostome/organizer module, and BMP5/8, HyAlx and {beta}-catenin part of a tentacle module. We conclude that Notch functions as an inhibitor of tentacle production to allow regeneration of hypostome/head organizer. Furthermore, with HyKayak we present a candidate target gene for HvNotch induced repressor genes. Using siRNA and the Fos/Jun-inhibitor T5224 we show that HyKayak attenuates the expression of HyWnt3. Finally, Notch signaling was not required for head regeneration of fresh water polyps of Craspedacusta. Polyps of Craspedacusta do not have tentacles and thus, after head removal only regenerate a hypostome with a crescent of nematocytes around the mouth opening. This corroborates the idea that Notch-signaling mediates between two pattern forming processes during Hydra head regeneration.

developmental biology↗

Sensitivity analysis of a mechanistic model of rumen fermentation and methane production by rumen microbiota in the presence of Asparagopsis taxiformis

Ruminant animals rely on microbes for the conversion of complex plant material into host accessible metabolites. During this anaerobic conversion of plant biomass, termed enteric fermentation, methanogenic archaea convert hydrogen into the potent greenhouse gas methane (CH4). The search for methane mitigation strategies to combat climate change has identified the red seaweed Asparagopsis taxiformis as a promising feed additive that, when added to a regular cattle diet, reduced enteric CH4 by over 80%. A more complete understanding of microbial interactions during enteric fermentation is needed for ongoing improvement to mitigation methods. Mathematical models that permit in silico simulation of enteric fermentation allow for the identification of key parameters that drive rumen methane production. Here we built upon an existing rumen fermentation model and calibrated it using a preliminary classification of functional microbial groups and gas emission data from a previously published in vitro rumen fermentation experiment, but many microbes remained functionally unclassified. The model was then used to conduct an in silico experiment to explore how the partition of functionally unclassified microbes into functional groups affects methane output. These in silico experiments identified that model methane production is more sensitive to microbial variation in the presence of A. taxiformis versus without. The use of local and global sensitivity analysis approaches revealed other rumen parameters to also be drivers of enteric methane production. In the presence of A. taxiformis, parameters modulating methane production include bromoform concentration, methanogen abundance, total microbial concentration, a parameter effecting the inhibition of methanogen growth rate by the action of bromoform, and the maximum specific utilization rate of hydrogen. Without A. taxiformis, feed composition parameters, the hydrolysis rate constant of cell wall carbohydrates, and a parameter affecting the yield factors during sugar utilization were found to be most significant. For possible methane reduction without A. taxiformis, we propose an adjustment in feed composition parameters that reduces predicted methane by 25.6%.

systems biology↗

Bruno 1 regulates cytoskeleton dynamics and a temporal splicing transition to promote myofibril assembly, growth and maturation in Drosophila flight muscle

Muscles undergo developmental transitions in gene expression and alternative splicing that are necessary to refine sarcomere structure and contractility. CUG-BP and ETR-3-like (CELF) family RNA binding proteins are important regulators of RNA processing during myogenesis that are misregulated in diseases such as myotonic dystrophy (DM1). Here we report a conserved function for Bruno 1 (Bru1, Arrest), a CELF1/2 family homolog in Drosophila, during early muscle myogenesis. Loss of Bru1 in flight muscles results in disorganization of the actin cytoskeleton leading to aberrant myofiber compaction and defects in pre-myofibril formation. Temporally-restricted rescue and RNAi knockdown demonstrate that early cytoskeletal defects interfere with subsequent steps in sarcomere growth and maturation. Early defects are distinct from a later requirement for bru1 to regulate sarcomere assembly dynamics during myofiber maturation. We identify an imbalance in growth in sarcomere length and width during later stages of development as the mechanism driving abnormal radial growth, myofibril fusion and the formation of hollow myofibrils in bru1 mutant muscle. Molecularly, we characterize a genome-wide transition from immature to mature sarcomere gene isoform expression in flight muscle development that is blocked in bru1 mutants. We further demonstrate that temporally restricted Bru1 rescue can partially alleviate hypercontraction in late pupal and adult stages, but it cannot restore myofiber function or correct structural deficits. Our results reveal the conserved nature of CELF function in regulating cytoskeletal dynamics in muscle development, and demonstrate that defective RNA processing due to misexpression of CELF proteins causes wide-reaching structural defects and progressive malfunction of affected muscles that cannot be rescued by late-stage gene replacement.

developmental biology↗

A new look at the architecture and dynamics of the Hydra nerve net

The Hydra nervous system is the paradigm of a "simple nerve net". Nerve cells in Hydra, as in many cnidarian polyps, are organized in a nerve net extending throughout the body column. This nerve net is required for control of spontaneous behavior: elimination of nerve cells leads to polyps that do not move and are incapable of capturing and ingesting prey (Campbell, 1976). We have re-examined the structure of the Hydra nerve net by immunostaining fixed polyps with a novel antibody that stains all nerve cells in Hydra. Confocal imaging shows that there are two distinct nerve nets, one in the ectoderm and one in the endoderm, with the unexpected absence of nerve cells in the endoderm of the tentacles. The nerve nets in the ectoderm and endoderm do not contact each other. High-resolution TEM and serial block face SEM show that the nerve nets consist of bundles of parallel overlapping neurites. Results from transgenic lines show that neurite bundles include different neural circuits and hence that neurites in bundles require circuit-specific recognition. Nerve cell-specific innexins indicate that gap junctions can provide this specificity. The occurrence of bundles of neurites supports a model for continuous growth and differentiation of the nerve net by lateral addition of new nerve cells to the existing net. This model was confirmed by tracking newly differentiated nerve cells.

neuroscience↗

Barley shows reduced Fusarium Head Blight under drought and modular expression of differential expressed genes under combined stress

Plants often face simultaneous abiotic and biotic stress conditions. However, physiological and transcriptional responses of plants under combined stress situations are little understood. Spring barley is susceptible to Fusarium Head Blight (FHB), which is strongly affected by weather conditions. We therefore studied the potential influence of drought on FHB severity and responses in three differently susceptible spring barley varieties and found strongly reduced FHB severity in susceptible varieties under drought. Quantity of differentially expressed genes (DEGs) and strength of transcriptomic regulation reflected the concentration of physiological stress markers such as abscisic acid or fungal DNA contents. Infection-related gene expression associated rather with susceptibility than resistance. Weighted gene correlation network analysis uncovered 18 modules of co-expressed genes, which reflect the pathogen or drought response in the used varieties. A generally infection-related module contained co-expressed genes for defence, programmed cell death and mycotoxin-detoxification indicating that diverse genotypes use a similar defence strategy towards FHB albeit with different success. Further DEGs showed co-expression in drought or genotype-associated modules correlating with measured phytohormones or the osmolyte proline. The combination of drought stress with infection lead to highest numbers of DEGs and provoked a modular composition of single stress responses rather than a specific transcriptional readout. HighlightCo-expression network analysis reveals association of physiological stress markers and gene expression modules under biotic and abiotic stress

plant biology↗