Biology subjects

Davis, J. R.

Publications and source records attributed to Davis, J. R..

14 recordsLinked to original sources

bioRxiv2026

Assessing larger-than rule learning in African grey parrots (Psittacus erithacus).

Many animals discriminate between magnitudes (e.g., in size, quantity, volume, length) that have fitness implications. Accumulated experience may facilitate the formation of relational rules that can be applied in novel contexts. However, the extent to which animals can form a relational rule, and are able to apply it to novel contexts remains a core focus when understanding the evolution of cognition. Here, we assessed the ability of African grey parrots o acquire the relative larger-than rule in size or quantity discrimination, and if so, how this was learned. Eight captive parrots initially participated in a natural preference test (NPT) to assess their prior preference for a larger amount of seeds. Each parrot was then randomly selected to either acquire the larger-than rule in size or quantity in a basic training (BT). They then participated in transfer training (TT) to evaluate their ability to apply the learned rule to novel stimulus pairs, and a final transfer test (FTT) to assess whether the parrots could generalise the learned rule to unseen stimulus pairs beyond the training range. Six parrots successfully completed both training and the test, with only one parrot, Sensei, passing the quantity discrimination FTT. More detailed analyses showed that the parrots showed varied performance in the TT, but as a group, showed limited transfer in the TT, suggesting the use of associative learning through increased experience in BT. They also showed better performance if a stimulus pair had a larger difference (Webers law). The success of Sensei was attributed to extensive TT alongside his quick natural preference toward larger amounts. These results suggest that repeated exposure to TT stimulus pairs increases familiarity with the stimulus pairs, which can facilitate task success, but individuals vary in their ability to acquire relational rules.

animal behavior and cognition↗

bioRxiv2026

BI-TfR1 CapX rapidly transits the blood-brain barrier for efficient, low-dose gene delivery throughout the CNS

Safe, efficient gene delivery throughout the CNS remains a central obstacle to treating genetic diseases of the brain and spinal cord. We describe BI-TfR1 CapX, a human transferrin receptor (TfR1)-binding AAV capsid that, after a low intravenous dose in adult humanized TFRC mice, transduced more than 80% of cortical and spinal neurons and ~60% of cortical astrocytes, with reduced distribution and expression in several peripheral tissues relative to AAV9. Unlike other engineered BBB-crossing capsids, CapX bound the CNS vasculature within minutes and a large fraction of its genomes reached parenchymal nuclei within 24 hours. Delivering a Prnp-targeted epigenetic silencer (Prnp-CHARM), CapX reduced brain Prnp mRNA by over 95% requiring 18-fold fewer vector genomes per brain cell than AAV-PHP.eB for 50% lowering. A CapX delivered dual-vector cytosine base editor installed a protein-truncating PRNP stop codon lowering brain prion protein by 80%. These properties make CapX an attractive vehicle for human CNS gene therapy.

neuroscience↗

bioRxiv2026

Loss of Mitochondrial Respiratory Capacity Reshapes Myeloid Cell Function during Mycobacterium tuberculosis infection

Myeloid cells are essential mediators of host defense against Mycobacterium tuberculosis (Mtb), yet the metabolic programs that sustain their function during chronic infection remain poorly defined. Here, using scRNA-seq we identified a striking, coordinated decline in mitochondrial electron transport chain gene expression across diverse myeloid populations as Mtb disease progressed in mice. This transcriptional remodeling was associated with broad changes in immune and metabolic pathways, including reduced antigen presentation, interferon responses, protein synthesis, and glycolysis. Accordingly, loss of Complex I in macrophages (Ndufs4 knockdown) reduced MHC-II surface expression, dysregulated inflammatory gene expression, and limited control of Mtb replication. Finally, analysis of single-cell transcriptomic data from Mtb-exposed human household contacts identified an almost identical transcriptional program enriched in IGRA+ individuals, supporting a role for mitochondrial respiratory remodeling in human TB. Together, these findings demonstrate that mitochondrial bioenergetic competence is required to sustain macrophage effector function during chronic Mtb infection and suggest that mitochondrial restoration may boost protective responses in TB patients.

immunology↗

bioRxiv2026

Ciliary cAMP regulates Shh signal interpretation to drive polarisation of differentiating neurons

Cellular differentiation is characterised by transitions in cell-state through reinterpretation of extracellular signals. However, the mechanisms facilitating context-dependent signal interpretation remain poorly understood. Differentiating neurons remodel a molecularly distinct primary cilium as they switch from canonical to non-canonical Shh signalling. Here, using long-term live-tissue imaging, we demonstrate that the opposing Shh signalling modulators Smo and GPR161 simultaneously accumulate in the remodelled primary cilium. The correct balance of Smo and GPR161 leads to elevated ciliary cAMP levels, which suppresses Gli transcription factor activation and regulates actin dynamics to drive neuron polarisation. Notably, disrupting this balance through Smo hyperactivation or GPR161 depletion results in reduced ciliary cAMP, inappropriate activation of canonical Shh signalling, dysregulated actin dynamics and initiation of multiple unstable axon-like projections. Thus, this study identifies shifts in ciliary cAMP levels as a key regulator of cellular signal interpretation, and links primary cilium-mediated signal transduction to precise control of cytoskeletal organisation.

developmental biology↗

bioRxiv2024

Monolayer force generation and transmission is dictated by focal adhesion distribution

For tissue development, cells must generate contractile forces which are transmitted to their surrounding matrix or neighbouring cells via adhesion complexes. It is often envisaged that a simple linear counterbalance of cell generated stress with extracellular matrix (ECM) traction forces exists. However, experimental evidence indicates that modulating cell-ECM attachment does not necessarily lead to expected reciprocal changes in intercellular stresses. As ECM composition or mechanical properties are rarely uniform, it is important to understand the complexity of how focal adhesions alter stress transmission and the force-balance of a tissue. To address this, we confined monolayers on adhesive patterns altering focal adhesion distribution. Traction force microscopy and laser ablations of cell-cell junctions were used to examine stresses across epithelial monolayers whilst modulating substrate stiffness. We show that monolayers reach different force-balance states depending on focal adhesion distribution. Using an active matter model and confirmed experimentally, we reveal that a force-balance is generated by non-uniform patterns of cell contractility linked to adhesion patterning. This work highlights the importance of integrating the position of cell-ECM attachments into our vision of the mechanical landscape of living tissues. TeaserTo infer a tissues force-balance, positional information of focal adhesion distribution needs to be integrated due to the emergence of non-uniform patterns of cell contractility.

biophysics↗

bioRxiv2023

A molecular glue approach to control the half-life of CRISPR-based technologies

Cas9 is a programmable nuclease that has furnished transformative technologies, including base editors and transcription modulators (e.g., CRISPRi/a), but several applications of these technologies, including therapeutics, mandatorily require precision control of their half-life. For example, such control can help avert any potential immunological and adverse events in clinical trials. Current genome editing technologies to control the half-life of Cas9 are slow, have lower activity, involve fusion of large response elements (> 230 amino acids), utilize expensive controllers with poor pharmacological attributes, and cannot be implemented in vivo on several CRISPR-based technologies. We report a general platform for half-life control using the molecular glue, pomalidomide, that binds to a ubiquitin ligase complex and a response-element bearing CRISPR-based technology, thereby causing the latters rapid ubiquitination and degradation. Using pomalidomide, we were able to control the half-life of large CRISPR-based technologies (e.g., base editors, CRISPRi) and small anti-CRISPRs that inhibit such technologies, allowing us to build the first examples of on-switch for base editors. The ability to switch on, fine-tune and switch-off CRISPR-based technologies with pomalidomide allowed complete control over their activity, specificity, and genome editing outcome. Importantly, the miniature size of the response element and favorable pharmacological attributes of the drug pomalidomide allowed control of activity of base editor in vivo using AAV as the delivery vehicle. These studies provide methods and reagents to precisely control the dosage and half-life of CRISPR-based technologies, propelling their therapeutic development.

bioengineering↗

bioRxiv2020

ECM remodeling and spatial cell cycle coordination determine tissue growth kinetics

During development, multicellular organisms undergo stereotypical patterns of tissue growth to yield organs of highly reproducible sizes and shapes. How this process is orchestrated remains unclear. Analysis of the temporal dynamics of tissue growth in the Drosophila abdomen reveals that cell cycle times are spatially correlated and that growth termination occurs through the rapid emergence of a population of arrested cells rather than a gradual slowing down of cell cycle time. Reduction in apical tension associated with tissue crowding has been proposed as a developmental growth termination mechanism. Surprisingly, we find that growth arrest in the abdomen occurs while apical tension increases, showing that in this tissue a reduction in tension does not underlie the mechanism of growth arrest. However, remodeling of the extracellular matrix is necessary for tissue expansion. Thus, changes in the tissue microenvironment, and a rapid exit from proliferation, control the formation of the adult Drosophila abdomen.

developmental biology↗

bioRxiv2020

Molecular Architecture of Early Dissemination and Evolution of the SARS-CoV-2 Virus in Metropolitan Houston, Texas

We sequenced the genomes of 320 SARS-CoV-2 strains from COVID-19 patients in metropolitan Houston, Texas, an ethnically diverse region with seven million residents. These genomes were from the viruses causing infections in the earliest recognized phase of the pandemic affecting Houston. Substantial viral genomic diversity was identified, which we interpret to mean that the virus was introduced into Houston many times independently by individuals who had traveled from different parts of the country and the world. The majority of viruses are apparent progeny of strains derived from Europe and Asia. We found no significant evidence of more virulent viral types, stressing the linkage between severe disease, underlying medical conditions, and perhaps host genetics. We discovered a signal of selection acting on the spike protein, the primary target of massive vaccine efforts worldwide. The data provide a critical resource for assessing virus evolution, the origin of new outbreaks, and the effect of host immune response. SignificanceCOVID-19, the disease caused by the SARS-CoV-2 virus, is a global pandemic. To better understand the first phase of virus spread in metropolitan Houston, Texas, we sequenced the genomes of 320 SARS-CoV-2 strains recovered from COVID-19 patients early in the Houston viral arc. We identified no evidence that a particular strain or its progeny causes more severe disease, underscoring the connection between severe disease, underlying health conditions, and host genetics. Some amino acid replacements in the spike protein suggest positive immune selection is at work in shaping variation in this protein. Our analysis traces the early molecular architecture of SARS-CoV-2 in Houston, and will help us to understand the origin and trajectory of future infection spikes.

genetics↗

bioRxiv2020

Duplications drive diversity in Bordetella pertussis on an underestimated scale.

Bacterial genetic diversity is often described using solely base pair changes despite a wide variety of other mutation types likely being major contributors. Tandem duplications of genomic loci are thought to be widespread among bacteria but due to their often intractable size and instability, comprehensive studies of the range and genome dynamics of these mutations are rare. We define a methodology to investigate duplications in bacterial genomes based on read depth of genome sequence data as a proxy for copy number. We demonstrate the approach with Bordetella pertussis, whose insertion sequence element-rich genome provides extensive scope for duplications to occur. Analysis of genome sequence data for 2430 B. pertussis isolates identified 272 putative duplications, of which 94% were located at 11 hotspot loci. We demonstrate limited phylogenetic connection for the occurrence of duplications, suggesting unstable and sporadic characteristics. Genome instability was further described in-vitro using long read sequencing via the Nanopore platform. Clonally derived laboratory cultures produced heterogenous populations containing multiple structural variants. Short read data was used to predict 272 duplications, whilst long reads generated on the Nanopore platform enabled the in-depth study of the genome dynamics of tandem duplications in B. pertussis. Our work reveals the unrecognised and dynamic genetic diversity of B. pertussis and, as the complexity of the B. pertussis genome is not unique, highlights the need for a holistic and fundamental understanding of bacterial genetics.

microbiology↗

bioRxiv2019

Diverse transcriptomic signatures across human tissues identify functional rare genetic variation

Rare genetic variation is abundant in the human genome, yet identifying functional rare variants and their impact on traits remains challenging. Measuring aberrant gene expression has aided in identifying functional, large-effect rare variants. Here, we expand detection of genetically driven transcriptome abnormalities by evaluating and integrating gene expression, allele-specific expression, and alternative splicing from multi-tissue RNA-sequencing data. We demonstrate that each signal informs unique classes of rare variants. We further develop Watershed, a probabilistic model that integrates multiple genomic and transcriptomic signals to predict variant function. Assessing rare variants prioritized by Watershed in the UK Biobank and Million Veterans Program, we identify large effects across 34 traits, and 33 rare variant-trait combinations with both high Watershed scores and large trait effect sizes. Together, we provide a comprehensive analysis of the transcriptomic impact of rare variation and a framework to prioritize functional rare variants and assess their trait relevance.\n\nOne-sentence summaryIntegrating expression, allelic expression and splicing across tissues identifies rare variants with relevance to traits.

genomics↗

bioRxiv2019

A robust benchmark for germline structural variant detection

New technologies and analysis methods are enabling genomic structural variants (SVs) to be detected with ever-increasing accuracy, resolution, and comprehensiveness. Translating these methods to routine research and clinical practice requires robust benchmark sets. We developed the first benchmark set for identification of both false negative and false positive germline SVs, which complements recent efforts emphasizing increasingly comprehensive characterization of SVs. To create this benchmark for a broadly consented son in a Personal Genome Project trio with broadly available cells and DNA, the Genome in a Bottle (GIAB) Consortium integrated 19 sequence-resolved variant calling methods, both alignment- and de novo assembly-based, from short-, linked-, and long-read sequencing, as well as optical and electronic mapping. The final benchmark set contains 12745 isolated, sequence-resolved insertion and deletion calls [≥]50 base pairs (bp) discovered by at least 2 technologies or 5 callsets, genotyped as heterozygous or homozygous variants by long reads. The Tier 1 benchmark regions, for which any extra calls are putative false positives, cover 2.66 Gbp and 9641 SVs supported by at least one diploid assembly. Support for SVs was assessed using svviz with short-, linked-, and long-read sequence data. In general, there was strong support from multiple technologies for the benchmark SVs, with 90 % of the Tier 1 SVs having support in reads from more than one technology. The Mendelian genotype error rate was 0.3 %, and genotype concordance with manual curation was >98.7 %. We demonstrate the utility of the benchmark set by showing it reliably identifies both false negatives and false positives in high-quality SV callsets from short-, linked-, and long-read sequencing and optical mapping.

genomics↗

bioRxiv2018

Identification of rare-disease genes in diverse undiagnosed cases using whole blood transcriptome sequencing and large control cohorts

RNA sequencing (RNA-seq) is a complementary approach for Mendelian disease diagnosis for patients in whom exome-sequencing is not informative. For both rare neuromuscular and mitochondrial disorders, its application has improved diagnostic rates. However, the generalizability of this approach to diverse Mendelian diseases has yet to be evaluated. We sequenced whole blood RNA from 56 cases with undiagnosed rare diseases spanning 11 diverse disease categories to evaluate the general application of RNA-seq to Mendelian disease diagnosis. We developed a robust approach to compare rare disease cases to existing large sets of RNA-seq controls (N=1,594 external and N=31 family-based controls) and demonstrated the substantial impacts of gene and variant filtering strategies on disease gene identification when combined with RNA-seq. Across our cohort, we observed that RNA-seq yields a 8.5% diagnostic rate. These diagnoses included diseases where blood would not intuitively reflect evidence of disease. We identified RARS2 as an under-expression outlier containing compound heterozygous pathogenic variants for an individual exhibiting profound global developmental delay, seizures, microcephaly, hypotonia, and progressive scoliosis. We also identified a new splicing junction in KCTD7 for an individual with global developmental delay, loss of milestones, tremors and seizures. Our study provides a broad evaluation of blood RNA-seq for the diagnosis of rare disease.

genomics↗

bioRxiv2017

Automated Structural Variant Verification In Human Genomes Using Single-Molecule Electronic DNA Mapping

The importance of structural variation in human disease and the difficulty of detecting structural variants larger than 50 base pairs has led to the development of several long-read sequencing technologies and optical mapping platforms. Frequently, multiple technologies and ad hoc methods are required to obtain a consensus regarding the location, size and nature of a structural variant, with no approach able to reliably bridge the gap of variant sizes between the domain of short-read approaches and the largest rearrangements observed with optical mapping.\n\nTo address this unmet need, we have developed a new software package, SV-Verify, which utilizes data collected with the Nabsys High Definition Mapping (HD-Mapping) system, to perform hypothesis-based verification of putative deletions. We demonstrate that whole genome maps, constructed from electronic detection of tagged DNA, hundreds of kilobases in length, can be used effectively to facilitate calling of structural variants ranging in size from 300 base pairs to hundreds of kilobase pairs. SV-Verify implements hypothesis-based verification of putative structural variants using a set of support vector machines and is capable of concurrently testing several thousand independent hypotheses. We describe support vector machine training, utilizing a well-characterized human genome, and application of the resulting classifiers to another human genome, demonstrating high sensitivity and specificity for deletions [≥]300 base pairs.

genomics↗

bioRxiv2017

High-Definition Electronic Genome Maps From Single Molecule Data

With the advent of routine short-read genome sequencing has come a growing recognition of the importance of long-range, structural information in applications ranging from sequence assembly to the detection of structural variation. Here we describe the Nabsys solid-state detector capable of detecting tags on single molecules of DNA 100s of kilobases in length as they translocate through the detector at a velocity greater than 1 megabase pair per second. Sequence-specific tags are detected with a high signal-to-noise ratio. The physical distance between tags is determined after accounting for viscous drag-induced intramolecular velocity fluctuations. The accurate measurement of the physical distance between tags on each molecule and the ability of the detector to resolve distances between tags of less than 300 base-pairs enables the construction of high-density genome maps.

genomics↗