Biology subjects

Bell, E.

Publications and source records attributed to Bell, E..

17 recordsLinked to original sources

bioRxiv2026

Hive position matters: spatial layout and hive colour impact forager traffic and drifting in Melipona quadrifasciata bees

Stingless bees are key pollinators of native and cultivated plants, and their management mostly for honey and hive commercialisation has become an increasingly popular practice in Brazil. Hives are commonly kept close together and visually similar in meliponaries, a practice that favours drifting, i.e., the return of foragers to a foreign nest. Distance between hives and layout have been identified as drivers of drifting in the Western honeybee, but evidence for stingless bees, the largest group of social bees, remains scarce. Additionally, stingless beekeepers frequently associate drifting with weakened colonies, uneven honey production, worker fighting, and colony population imbalances. We investigated the effects of hive layout on foraging traffic and drifting in the stingless bee Melipona quadrifasciata. We compared forager traffic across six layouts varying in distance, colour and entrance orientation. Then, using RFID tags, we tracked drifting across three layouts with the same inter-hive distance but different designs: visually similar hives, hives with opposite entrance orientation, and hives painted with distinct colours. Forager traffic was lowest in the visually similar layout during the first two weeks of monitoring, which is consistent with greater disorientation in the absence of clear visual cues. Hive position was a key driver of drifting behaviour across all layouts, with bees from edge hives drifting considerably less than those from inner hives. Drifting decreased considerably in hives with different colours (37.6%) and hives with entrances in opposite directions (48.1%), compared to similarly looking hives with entrances in the same direction (59.5%). Therefore, our findings highlight practical low-effort strategies for stingless beekeepers to reduce forager loss, pathogen spread, and productivity losses.

animal behavior and cognition↗

bioRxiv2026

Genomics reveals population structure despite high connectivity of common sole, Solea solea, and European plaice, Pleuronectes platessa, in the Celtic Sea and western English Channel.

Despite being two of the most commercially important flatfish (order Pleuronectiformes) in Europe, little is known of the population structure of common sole Solea solea and European plaice Pleuronectes platessa. To address this gap, we generated full-genome resequencing data for 244 sole and 189 plaice in the Celtic Sea and western English Channel region to analyse both neutral and adaptive loci and quantify population processes, such as reproductive isolation or adaptive differentiation in each species. For sole, there was no evidence of reproductive isolation or population structure at neutral loci. There was, however, adaptive differentiation as adaptive loci indicated two subpopulations, with separation in the western English Channel. This is consistent with previous studies using RAD-seq and gene-linked SNPs. For plaice, there was no evidence of population structure at either neutral or adaptive loci in the Celtic Seas and Western English Channel region. However, when considering a larger geographical area and utilising previously published genomic data, three distinct populations of plaice were identified (Iceland; North Sea, Kattegat and Western Baltic; Celtic Sea and western English Channel), with clear reproductive isolation indicated by neutral loci and adaptive differentiation indicated by adaptive loci. Moreover, three large chromosomal inversions were identified, which differed in their frequency between regions. These large structural variants represent putative key regions for adaptive differentiation. This study shows the benefit from quantifying neutral and adaptive loci to better understand population structure and genetic diversity of commercially important fish.

evolutionary biology↗

bioRxiv2026

Infauna selectively enhance DNA virus diversity and activity in marine sediments

Viruses regulate microbial mortality and biogeochemical cycling in marine sediments; however, the ecological drivers of sediment viral communities remain unclear. Infauna, including sediment-dwelling meiofauna and macrofauna, are major ecosystem engineers that reshape sediment structures and microbial processes, but their influence on viruses is unknown. We combined infaunal gradient incubations with metagenomic and metatranscriptomic analyses to assess viral DNA and RNA responses. DNA viruses showed increased abundance (3-fold), diversity, richness, and transcriptional activity under higher infauna abundance conditions, whereas RNA viruses remained unaffected, revealing striking selectivity. This selectivity reflects an infauna-dependent component mediated by bacterial activity that cannot be explained by host abundance alone. Infection profiling revealed increased transcription of viral replication and structural genes, and lytic viruses under high infauna conditions. These findings establish infauna as a previously overlooked regulator of DNA virus dynamics, integrating viral ecology into faunal-microbial frameworks in benthic ecosystems and suggesting potential influences on geochemical cycles. TeaserInfauna selectively shape viral communities in marine sediments, revealing an overlooked effect on DNA viruses.

microbiology↗

bioRxiv2026

Multi-dimensional diffusion MRI at ultra-high gradient strength for mapping axonal architecture and microstructure in the primate brain

We present the most comprehensive sampling of the macaque and human brain with diffusion MRI to date. As part of the BRAIN CONNECTS center for Large-scale Imaging of Neural Circuits, we leverage ultra-high-gradient MRI systems, including the first-of-its-kind Connectome 2.0, for post-mortem acquisitions. Each sample is imaged for [~]250 hours at multiple spatial resolutions down to 0.25 mm isotropic for whole macaque brains and 0.4 mm isotropic for human hemispheres. Our optimized protocols allow us to sample both species across [~]50 diffusion shells varying in b-value, diffusion time, and echo time, reaching ultra-high b-values up to 64000 s/mm2 with high signal-to-noise ratio. We demonstrate that these multi-dimensional data resolve not only white matter connectional architecture but also cortical and subcortical cytoarchitectonic boundaries, at a level of detail previously inaccessible in whole-brain noninvasive imaging. As such, these data are an important resource for both technical development and basic and clinical neuroscience.

neuroscience↗

bioRxiv2026

The marine microbiome can accurately predict its chemical and biological environment

The microbiome responds to physicochemical changes in the environment, making it a sensitive indicator of ecosystem status. Monitoring microbial communities in aquatic systems is therefore essential for understanding ecosystem health and responses to change. Traditionally reliant on microscopy, monitoring programmes are increasingly incorporating DNA-based approaches leveraging on advances in high-throughput sequencing. In this study, we evaluate the potential of using DNA metabarcoding to predict abiotic and biotic parameters across the spatiotemporal gradients of the Baltic Sea. The dataset comprises 397 seawater samples integrating prokaryotic (16S rRNA gene) and eukaryotic (18S rRNA gene) metabarcoding data with environmental measurements and plankton microscopy counts. Random Forest models based on metabarcoding data accurately predicted a range of physicochemical parameters and showed performance comparably to more complex machine learning algorithms. Models based on 16S rRNA gene data tended to perform better than those based on 18S rRNA gene data, with amplicon sequence variant-level data yielding the best results. Metabarcoding outperformed plankton microscopy in predicting abiotic factors and effectively predicted the presence of phytoplankton and zooplankton genera using [≤]1 L of water. Models trained on independent datasets accurately predicted several of the physicochemical parameters, but performed weaker on others, highlighting the potential and challenges for their transferability. Furthermore, our predictions closely matched the observed HELCOM indicator values for assessing good environmental status, suggesting the utility of microbiome-based approaches in regional marine monitoring frameworks. These findings underscore the potential of environmental DNA as a tool for ecosystem monitoring and management in dynamic coastal systems.

microbiology↗

bioRxiv2025

Control of Synaptic Communication through Molecularly Engineered Bioluminescence Light Emission and Sensing

Synapses are sites of intercellular communication between neurons and from neurons to target organs, and of signal integration that underly physiological and behavioral responses. We have developed a modular platform, Interluminescence (Int), for experimental control of synaptic transmission: bioluminescent light, generated by a luciferase oxidizing a luciferin, from a presynaptic neuron is used to activate transsynaptic optogenetic ion channels in the postsynaptic neuron. Two strategies can modulate postsynaptic neurons in the presence of luciferin. In the Act-Int approach, a luciferase is genetically expressed in synaptic vesicles and released during depolarization-induced presynaptic vesicle fusion and exocytosis. In the Persist-Int approach, a luciferase is tethered to the presynaptic membrane where it can support sustained transsynaptic signaling. Both strategies can activate postsynaptic neurons with comparable efficacy under the conditions tested. By design, the modularity of the platform permits the use of luciferases and opsins ranging in brightness and light sensitivity, with the luciferase targeted to different subcellular regions of the presynaptic neuron, and the postsynaptic opsin being excitatory or inhibitory. Our results demonstrate the utility and versatility of Interluminescence to mediate synapse-specific transmission that is either activity-dependent or activity-independent.

neuroscience↗

bioRxiv2024

Comparison of Fixed Single Cell RNA-seq Methods to Enable Transcriptome Profiling of Neutrophils in Clinical Samples

Monitoring neutrophil gene expression is a powerful tool for understanding disease mechanisms, developing new diagnostics, therapies and optimizing clinical trials. Neutrophils are sensitive to the processing, storage and transportation steps that are involved in clinical sample analysis. This study is the first to evaluate the capabilities of technologies from 10X Genomics, PARSE Biosciences, and HIVE (Honeycomb Biotechnologies) to generate high-quality RNA data from human blood-derived neutrophils. Our comparative analysis shows that all methods produced high quality data, importantly capturing the transcriptomes of neutrophils. 10X FLEX cell populations in particular showed a close concordance with the flow cytometry data. Here, we establish a reliable single-cell RNA sequencing workflow for neutrophils in clinical trials: we offer guidelines on sample collection to preserve RNA quality and demonstrate how each method performs in capturing sensitive cell populations in clinical practice.

genomics↗

bioRxiv2024

Denitrification genotypes of endospore-forming Bacillota

Denitrification is a key metabolic process in the global nitrogen cycle and is performed by taxonomically diverse microorganisms. Despite the widespread importance of this metabolism, challenges remain in identifying denitrifying populations and predicting their metabolic end-products based on their genotype. Here, genome-resolved metagenomics was used to explore the denitrification genotype of Bacillota enriched in nitrate-amended high temperature incubations with confirmed N2O and N2 production. A set of 12 hidden Markov models (HMMs) was created to target the diversity of denitrification genes in members of the phylum Bacillota. Genomic potential for complete denitrification was found in five metagenome-assembled genomes (MAGs) from nitrate-amended enrichments, including two novel members of the Brevibacillaceae family. Genomes of complete denitrifiers encode N2O reductase (nos) gene clusters with clade II-type nosZ and often include multiple variants of the nitric oxide reductase (nor) gene. The HMM set applied to all genomes of Bacillota from the Genome Taxonomy Database (GTDB) identified 17 genera inferred to contain complete denitrifiers based on their gene content. Among complete denitrifiers it was common for three distinct nitric oxide reductases to be present (qNOR, bNOR and sNOR) which may reflect the metabolic adaptability of Bacillota in environments with variable redox conditions.

microbiology↗

bioRxiv2024

The Circadian Neuropeptide PDF has Sexually Dimorphic Effects on Activity Rhythms

The circadian system regulates the timing of multiple molecular, physiological, metabolic, and behavioral phenomena. In Drosophila, as in other species, most of the research on how the timekeeping system in the brain controls the timing of behavioral outputs has been conducted in males, or sex has not been included as a biological variable. A critical set of circadian pacemaker neurons in Drosophila release the neuropeptide pigment-dispersing factor (PDF), which functions as a key output factor in the network with complex effects on other clock neurons. Lack of Pdf or its receptor, PdfR, results in most flies displaying arrhythmicity in activity-rest cycles under constant conditions. However, our results show that female circadian rhythms are less affected by mutations in both Pdf and PdfR. Crispr-Cas9-mediated mutagenesis of Pdf, specifically in ventral lateral neurons (LNvs), also has a greater effect on male rhythms. We tested the influence of M-cells on the circadian network and showed that speeding up the molecular clock specifically in M-cells led to sexually dimorphic phenotypes, with a more pronounced effect on male rhythmic behavior. Our results suggest that the female circadian system is more resilient to manipulations of M-cells and the PDF pathway, suggesting that circadian timekeeping is more distributed across the clock neuron network in females.

neuroscience↗

bioRxiv2021

Extremely thermophilic endospores germinate and metabolise organic carbon in sediments heated to above 80°C

Endospores of thermophilic bacteria are widespread in cold seabed environments where they remain dormant during initial burial in accumulating sediments. The temperature increase during sedimentation can be simulated in experimental heating of sediments, resulting in the temperature-dependent activation of different endospore populations from the microbial seed bank. Here we investigated the response of endospore populations to heating at extreme high temperature (80- 99{degrees}C). Metabolites for germination and organic matter degradation (dipicolinic acid and organic acids) revealed both endospore germination and subsequent metabolism at [≥]80{degrees}C. Endospore-forming Firmicutes with the genomic potential for organic carbon and nitrogen transformation were recovered by genome-resolved metagenomics. Genomes from Symbiobacteriales, Thermosediminibacteriales, Moorellales and Calditerricolales encode multiple mechanisms for high temperature degradation of sedimentary organic carbon and features of necromass that accumulate during sediment burial including saccharides, amino and nucleic acids. The results provide insight into the metabolism of novel carbon cycling microorganisms activated at high temperature, and suggest that extremely thermophilic Firmicutes dispersed in the ocean are poised to germinate in response to sediment heating during burial and transform a wide range of organic substrates.

microbiology↗

bioRxiv2021

Active anaerobic methane oxidation and sulfur disproportionation in the deep terrestrial subsurface

Microbial life is widespread in the terrestrial subsurface and present down to several kilometers depth, but the energy sources that fuel metabolism in deep oligotrophic and anoxic environments remain unclear. In the deep crystalline bedrock of the Fennoscandian Shield at Olkiluoto, Finland, opposing gradients of abiotic methane and ancient seawater-derived sulfate create a terrestrial sulfate-methane transition zone (SMTZ). We used chemical and isotopic data coupled to genome-resolved metaproteogenomics to demonstrate active life and, for the first time, provide direct evidence of active anaerobic oxidation of methane (AOM) in a deep terrestrial bedrock. Proteins from Methanoperedens (formerly ANME-2d) are readily identifiable despite the low abundance ([≤]1%) of this genus and confirm the occurrence of AOM. This finding is supported by 13C-depleted dissolved inorganic carbon. Proteins from Desulfocapsaceae and Desulfurivibrionaceae, in addition to 34S-enriched sulfate, suggest that these organisms use inorganic sulfur compounds as both electron donor and acceptor. Zerovalent sulfur in the groundwater may derive from abiotic rock interactions, or from a non-obligate syntrophy with Methanoperedens, potentially linking methane and sulfur cycles in Olkiluoto groundwater. Finally, putative episymbionts from the candidate phyla radiation (CPR) and DPANN archaea represented a significant diversity in the groundwater (26/84 genomes) with roles in sulfur and carbon cycling. Our results highlight AOM and sulfur disproportionation as active metabolisms and show that methane and sulfur fuel microbial activity in the deep terrestrial subsurface. Significance StatementThe deep terrestrial subsurface remains an environment in which there is limited understanding of the extant microbial metabolisms, despite its reported large contribution to the overall biomass on Earth. It is much less well studied than deep marine sediments. We show that microorganisms in the subsurface are active, and that methane and sulfur provide fuel in the oligotrophic and anoxic subsurface. We also uncover taxonomically and metabolically diverse ultra-small organisms that interact with larger host cells through surface attachment (episymbiosis). Methane and sulfur are commonly reported in terrestrial crystalline bedrock environments worldwide and the latter cover a significant proportion of the Earths surface. Thus, methane- and sulfur-dependent microbial metabolisms have the potential to be widespread in the terrestrial deep biosphere.

microbiology↗

bioRxiv2021

MYCN mediates cysteine addiction and sensitizes to ferroptosis

Aberrant expression of MYC family members predicts poor clinical outcome in many human cancers. Oncogenic MYC profoundly alters metabolism and mediates an antioxidant response to maintain redox balance. Here we show that MYC induces massive lipid peroxidation upon depletion of cysteine, the rate-limiting amino acid for glutathione biosynthesis and sensitizes cells to ferroptosis, an oxidative, non-apoptotic and irondependent type of cell death. In MYCN-amplified childhood neuroblastoma, MYCN mediates resistance to ferroptosis by activating transsulfuration of methionine to cysteine. MYCN may contribute to spontaneous tumor regression in low-risk neuroblastomas by promoting ferroptosis in cells with epigenetically silenced cystathionine-beta-synthase, the rate-limiting enzyme for transsulfuration. We identified enzymes and antiporter proteins crucial to ferroptotic escape, providing multiple previously unknown sites that may be acted on therapeutically.

cancer biology↗

bioRxiv2021

CANT-HYD: A curated database of phylogeny-derived Hidden Markov Models for annotation of marker genes involved in hydrocarbon degradation

Discovery of microbial hydrocarbon degradation pathways has traditionally relied on laboratory isolation and characterization of microorganisms. Although many metabolic pathways for hydrocarbon degradation have been discovered, the absence of tools dedicated to their annotation makes it difficult to identify the relevant genes and predict the hydrocarbon degradation potential of microbial genomes and metagenomes. Furthermore, sequence homology between hydrocarbon degradation genes and genes with other functions often results in misannotation. A tool that systematically identifies hydrocarbon metabolic potential is therefore needed. We present the Calgary approach to ANnoTating HYDrocarbon degradation genes (CANT-HYD), a database containing HMMs of 37 marker genes involved in anaerobic and aerobic degradation pathways of aliphatic and aromatic hydrocarbons. Using this database, we show that hydrocarbon metabolic potential is widespread in the tree of life and identify understudied or overlooked hydrocarbon degradation potential in many phyla. We also demonstrate scalability by analyzing large metagenomic datasets for the prediction of hydrocarbon utilization in diverse environments. To the best of our knowledge, CANT-HYD is the first comprehensive tool for robust and accurate identification of marker genes associated with aerobic and anaerobic hydrocarbon degradation.

bioinformatics↗

bioRxiv2020

Genetic toolkit for sociality predicts castes across the spectrum of social complexity in wasps

Major evolutionary transitions describe how biological complexity arises; e.g. in evolution of complex multicellular bodies, and superorganismal insect societies. Such transitions involve the evolution of division of labour, e.g. as queen and worker castes in insect societies. Castes across different evolutionary lineages are thought to be regulated by a conserved genetic toolkit. However, this hypothesis has not been tested thoroughly across the complexity spectrum of the major transition. Here we reveal, using machine learning analyses of brain transcription, evidence of a shared genetic toolkit across the spectrum of social complexity in Vespid wasps. Whilst molecular processes underpinning the simpler societies (which likely represent the origins of social living) are conserved throughout the major transition, additional processes appear to come into play in more complex societies. Such fundamental shifts in regulatory processes with complexity may typify other major evolutionary transitions, such as the evolution of multicellularity.

evolutionary biology↗

bioRxiv2020

Energy efficiency and biological interactions define the core microbiome of deep oligotrophic groundwater

Extremely oligotrophic deep groundwaters host organisms attuned to the low-end of the bioenergetics spectrum. While all domains of life along with viruses are active in this habitat, the evolutionary and ecological constraints on colonization and niche shifts and their consequences for the microbiome convergence are unknown. Here we provide a comparative genome-resolved analysis of the prokaryotic community in disconnected fracture fluids of the Fennoscandian Shield. The data show that the oligotrophic deep groundwaters flowing in similar lithologies offer fixed niches that are occupied by a common deep groundwater core microbiome. Based on this high resolution "multi-omics" enabled understanding of the underlying mechanisms via functional expression analysis, we conclude that deep groundwater ecosystems foster highly diverse, yet cooperative microbial communities adapted to this setting. The fitness of primary energy producers is increased by ecological traits such as aggregate or biofilm formation. This also facilitates reciprocal promiscuous partnerships with diverse and prevalent epi-bionts, alleviating the "tragedy of common goods". Hence, instead of a lifestyle where microbes predominantly invest in functions related to maintenance and survival, an episodic and cooperative lifestyle ensures the subsistence of the deep groundwater microbiome. We suggest the name "halt and catch fire" for this way of life.

microbiology↗

bioRxiv2019

Unravelling the genetic architecture of musical rhythm

Moving in synchrony to the beat is a fundamental component of musicality. Here, we conducted a genome-wide association study (GWAS) to identify common genetic variants associated with beat synchronization in 606,825 individuals. Beat synchronization exhibited a highly polygenic architecture, with sixty-nine loci reaching genome-wide significance (p<5x10-8) and SNP-based heritability (on the liability scale) of 13%-16%. Heritability was enriched for genes expressed in brain tissues, and for fetal and adult brain-specific gene regulatory elements, underscoring the role of central nervous system-expressed genes linked to the genetic basis of the trait. We performed validations of the self-report phenotype (through internet-based experiments) and of the GWAS (polygenic scores for beat synchronization were associated with patients algorithmically classified as musicians in medical records of a separate biobank). Genetic correlations with breathing function, motor function, processing speed, and chronotype suggest shared genetic architecture with beat synchronization and provide avenues for new phenotypic and genetic explorations.

genetics↗

bioRxiv2019

High-throughput microfluidic micropipette aspiration device to probe time-scale dependent nuclear mechanics in intact cells

The mechanical properties of the cell nucleus are increasingly recognized as critical in many biological processes. The deformability of the nucleus determines the ability of immune and cancer cells to migrate through tissues and across endothelial cell layers, and changes to the mechanical properties of the nucleus can serve as novel biomarkers in processes such as cancer progression and stem cell differentiation. However, current techniques to measure the viscoelastic nuclear mechanical properties are often time consuming, limited to probing one cell at a time, or require expensive, highly specialized equipment. Furthermore, many current assays do not measure time-dependent properties, which are characteristic of viscoelastic materials. Here, we present an easy-to-use microfluidic device that applies the well-established approach of micropipette aspiration, adapted to measure many cells in parallel. The device design allows rapid loading and purging of cells for measurements, and minimizes clogging by large particles or clusters of cells. Combined with a semi-automated image analysis pipeline, the microfluidic device approach enables significantly increased experimental throughput. We validated the experimental platform by comparing computational models of the fluid mechanics in the device with experimental measurements of fluid flow. In addition, we conducted experiments on cells lacking the nuclear envelope protein lamin A/C and wild-type controls, which have well-characterized nuclear mechanical properties. Fitting time-dependent nuclear deformation data to power law and different viscoelastic models revealed that loss of lamin A/C significantly altered the elastic and viscous properties of the nucleus, resulting in substantially increased nuclear deformability. Lastly, to demonstrate the versatility of the devices, we characterized the viscoelastic nuclear mechanical properties in a variety of cell lines and experimental model systems, including human skin fibroblasts from an individual with a mutation in the lamin gene associated with dilated cardiomyopathy, healthy control fibroblasts, induced pluripotent stem cells (iPSCs), and human tumor cells. Taken together, these experiments demonstrate the ability of the microfluidic device and automated image analysis platform to provide robust, high throughput measurements of nuclear mechanical properties, including time-dependent elastic and viscous behavior, in a broad range of applications.

biophysics↗