Biology subjects

Owen, R.

Publications and source records attributed to Owen, R..

14 recordsLinked to original sources

bioRxiv2026

A high-resolution atlas of cattle regulatory variants and their cross-species activity in matched human cells

Identifying causal noncoding variants underlying complex traits in cattle remains challenging because high-resolution functional maps of regulatory variation are lacking. Here we combine massively parallel reporter assays with graph genomics to measure autonomous transcriptional activity from >1.5 billion DNA fragments spanning both cattle subspecies. In primary bovine cells, we assay >15 million variants and identify >150,000 expression-modulating variants enriched at cattle eQTL and GWAS loci. This enables the refinement of broad association signals to small sets of candidate functional regulatory variants. Our haplotype-aware framework captures rare, multi-allelic and tightly linked variants poorly resolved by conventional eQTL studies, and quantifies the disproportionate impact of larger variants on transcription. Furthermore, we use these data to train a deep-learning model that successfully predicts bovine promoter activity directly from sequence. Profiling the same cattle DNA in matched primary human cells reveals widespread conservation of promoter and enhancer activity, allelic effects and regulatory grammar, supporting the transfer of annotations and models across species. However, species-dependent effects are enriched in evolutionarily young sequences and p53-family motifs, highlighting the limits to simple cross-species extrapolation. Together, these data provide a high-resolution atlas of cattle regulatory variation and a framework for prioritising causal noncoding variants for cattle trait improvement.

genetics↗

bioRxiv2025

Drop on fixed target reaction initiation approach for serial and time resolved crystallography

We describe the design and implementation of a drop on fixed target method for time-resolved serial crystallography at both synchrotron and XFEL facilities. A piezoelectric droplet dispensing pipette is employed for addition of picolitre volume (40 - 90 pL) aqueous droplets, containing (co-)substrate(s) or ligand(s), onto enzyme microcrystals immobilised on a solid support. The system was tested with various enzyme systems, including lysozyme and two -lactamases, CTX-M-15 and AmpCEC. Mitigation strategies for cross-well contamination, including the implementation of interleaved controls, are described; the overall performance of the system at synchrotron and X-ray free electron laser facilities was evaluated. This drop on fixed target method is a reliable framework for time-resolved crystallography and will improve the consistency of measurements across facilities.

biophysics↗

bioRxiv2025

Integrated structural dynamics uncover new modes of B12 photoreceptor activation

Photoreceptor proteins initiate, regulate and control fundamental biological processes such as vision, photosynthesis and circadian rhythms1. A large photoreceptor subfamily uses vitamin B12 derivatives for light sensing2, contrasting with the well-established mode of action of these organometallic derivatives in thermally activated enzymatic reactions3. The molecular mechanism of B12 photoreception and how this differs to the thermal pathways remain unknown. Here we provide a detailed spatio-temporal description of photoactivation in the prototypical tetrameric B12 photoreceptor CarH4,5 from nanoseconds to seconds by using an integrative approach, combining time- and temperature-resolved structural and spectroscopic methods with quantum chemical calculations. High resolution structural snapshots of key intermediates illustrate how photocleavage of a Co-C bond triggers a pathway of structural changes that propagate throughout CarH from the B12 chromophore, via a previously unknown adduct, to finally cause tetramer dissociation. These unique intermediates, which differentiate CarH from thermally-activated B12 enzymes, steer the photoactivation pathway and act as the molecular bridge between photochemical and photobiological timescales. Our results offer a spatio-temporal understanding of CarH photoactivation and pave the way for designing and optimising B12-dependent photoreceptors for future optogenetic applications.

biophysics↗

bioRxiv2025

A comprehensive water buffalo pangenome reveals extensive structural variation linked to population specific signatures of selection

Water buffalo is a cornerstone livestock species in many low- and middle-income countries, yet major gaps persist in its genomic characterization--complicated by the divergent karyotypes of its two sub-species (swamp and river). Such genomic complexity makes water buffalo a particularly good candidate for the use of graph genomics, which can capture variation missed by linear reference approaches. However, the utility of this approach to improve water buffalo has been largely unexplored. We present a comprehensive pangenome that integrates four newly generated, highly contiguous assemblies of Pakistani river buffalo with available assemblies from both sub- species. This doubles the number of accessible high-quality river buffalo genomes and provides the most contiguous assemblies for the sub-species to date. Using the pangenome to assay variation across 711 global samples, we uncovered extensive genomic diversity, including thousands of large structural variants absent from the reference genome, spanning over 140 Mb of additional sequence. We demonstrate the utility of these data by identifying putative functional indels and structural variants linked to selective sweeps in key genes involved in productivity and immune response across 26 populations. This study represents one of the first successful applications of graph genomics in water buffalo and offers valuable insights into how integrating assemblies can transform analyses of water buffalo and other species with complex evolutionary histories. We anticipate that these assemblies, and the pangenome and putative functional structural variants we have released, will accelerate efforts to unlock water buffalos genetic potential, improving productivity and resilience in this economically important species.

genomics↗

bioRxiv2024

The potential of regulatory variant prediction AI models to improve cattle traits

Considerable progress has been made in developing machine learning models for predicting human functional variants, but progress in livestock species has been more limited. This is despite the disproportionate potential benefits such models could have to livestock research, from improving breeding values to prioritising functional variants at trait-associated loci. A key open question is what datasets and modelling approaches are most important to close this performance gap between species. In this work we have developed a new framework for predicting regulatory variants, that includes deriving key conservation metrics in cattle for the first time, variant annotation and model training. When trained on expression quantitative trait loci (eQTL) and massively parallel reporter assay (MPRA) data for human and cattle we show that this framework has a high performance at predicting regulatory variants, with a maximum area under the receiver operating characteristic curve (AUROC) score of 0.86 in human and 0.81 in cattle. We explore various approaches to further close this performance gap, including integrating advanced DNA sequence models and generating extra chromatin data, but illustrate that the best approach would be generating improved gold-standard sets of known cattle regulatory variants. Importantly we demonstrate both the human and cattle models substantially enrich for variants linked to important traits, with up to 18-fold enrichments for functional variants observed. Consequently, with our framework developed to be applicable across species these results not only demonstrate its potential utility for fine-mapping functional variants and improving breeding values in cattle, but also its potential for wider use across animal species.

genomics↗

bioRxiv2024

Enforced MYC expression selectively redirects transcriptional programs during human plasma cell differentiation

MYC provides a rheostat linking cell growth and division during plasma cell (PC) differentiation. Precise control of MYC is central to the network controlling differentiation. Deregulation of MYC drives transformation in aggressive B-cell neoplasms and is often accompanied by apoptotic protection conferred by BCL2. We assess how MYC and BCL2 deregulation impacts on the ability of human B-cells to complete PC differentiation. Under permissive conditions for PC differentiation we find such deregulation does not transform cells. While driving loss of normal PC surface phenotype, MYC deregulation has little impact on components of regulatory circuitry controlling B-cell identity. This contrasts with profound impact on initiation of secretory output and secretory reprogramming, coupled to dampening of XBP1 and immunoglobulin gene enhancement and a shift toward distinct metabolic programs. The establishment of this aberrant state depends on MYC homology boxes (MB0 and MBII). Dependence on MBII is profound and resolves to residue W135.

cell biology↗

bioRxiv2023

Mutational order and epistasis determine the consequences of FBXW7 mutations during colorectal cancer evolution

Somatic driver mutations, in genes such as FBXW7, have been discovered in phenotypically normal colonic tissue, however their role in cancer initiation remains elusive. Using normal and gene-edited patient-derived human colon organoids as models of early tumour evolution we observed that FBXW7-/- mutations exerted an epistatic effect on subsequent transcription depending on the mutational background of the cell. Specifically, the timing of acquiring an FBXW7-/- mutation respective to an APC mutation, led to profound phenotypic and transcriptomic differences. When FBXW7 was mutated before APC, a near-normal cell state was maintained alongside repression of the APC transcriptional response. However, when APC was mutated before FBXW7, cells acquired classical cancer-stem cell features. Single-cell RNA sequencing revealed that mutation of FBXW7 in normal tissue subtly switched cells from adult to a foetal/regenerative stem cell state. Further analysis using transposase-accessible chromatin sequencing identified this cellular plasticity was driven by changes in chromatin accessibility of transcriptional start site regions associated with TEAD, SNAI1 and AP-1 motifs, which in turn activate the foetal-like state. Taken together, we demonstrate a critical role of FBXW7 mutations in preventing colorectal cancer initiation and provide exemplar evidence for the importance of epistasis and mutational order in cancer biology.

cancer biology↗

bioRxiv2023

A redox switch allows binding of ferrous and ferric ions in the cyanobacterial iron binding protein FutA from Prochlorococcus

The marine cyanobacterium Prochlorococcus is a main contributor to global photosynthesis, whilst being limited by iron availability. Cyanobacterial genomes typically encode two different types of FutA iron binding proteins: periplasmic FutA2 ABC transporter subunits bind Fe(III), while cytosolic FutA1 binds Fe(II). Owing to their small size and their economized genome Prochlorococcus ecotypes typically possess a single futA gene. How the encoded FutA protein might bind different Fe oxidation states was previously unknown. Here we use structural biology techniques at room temperature to probe the dynamic behavior of FutA. Neutron diffraction confirmed four negatively charged tyrosinates, that together with a neutral water molecule coordinate iron in trigonal bipyramidal geometry. Positioning of the positively charged Arg103 side chain in the second coordination shell yields an overall charge-neutral Fe(III) binding state in structures determined by neutron diffraction and serial femtosecond crystallography. Conventional rotation X-ray crystallography using a home source revealed X-ray induced photoreduction of the iron center with observation of the Fe(II) binding state; here, an additional positioning of the Arg203 side chain in the second coordination shell maintained an overall charge neutral Fe(II) binding site. Dose series using serial synchrotron crystallography and an XFEL X-ray pump-probe approach capture the transition between Fe(III) and Fe(II) states, revealing how Arg203 operates as a switch to accommodate the different iron oxidation states. This switching ability of the Prochlorococcus FutA protein may reflect ecological adaptation by genome streamlining and loss of specialized FutA proteins. Significance StatementOceanic primary production by marine cyanobacteria is a main contributor to carbon and nitrogen fixation. Prochlorococcus is the most abundant photosynthetic organism on Earth, with an annual carbon fixation comparable to the net global primary production from agriculture. Its remarkable ecological success is based on the ability to thrive in low nutrient waters. To manage iron limitation, Prochlorococcus possesses the FutA protein for iron uptake and homeostasis. We reveal a molecular switch in the FutA protein that allows it to accommodate binding of iron in either the Fe(III) or Fe(II) state using structural biology techniques at room temperature and provide a plausible mechanism for iron binding promiscuity.

biophysics↗

bioRxiv2022

Modelling the spread of resistance to Varroa in Australian feral honeybee populations

Australia is the only country where Western honeybees, Apis mellifera, are not infested with the mite Varroa destructor. Hence, a collapse in the feral honeybee population, brought about by an incursion and spread of V. destructor, would have serious consequences for Australian horticulture given its dependence on managed and feral honeybees for pollination. Managing Varroa in commercial colonies is well understood and can be achieved, although at significant bee-health costs, by using miticides. Protecting the feral population in the event of a Varroa incursion is much more difficult, but nevertheless imperative. One way to mitigate against collapse of the feral population is to seed it with Varroa-resistant queens, so as to accelerate the spread of resistance. We developed a simulation model of the spread of Varroa-resistance in feral honeybee populations following the introduction of Varroa-resistant queens into the managed population. We show that, compared with a do-nothing scenario, seeding the managed honeybee population with Varroa-resistant queens was only effective in decreasing the length of time for the feral honeybee population to recover when the size of the managed resistant population was large compared to the size of the feral population. This situation may be achievable in some urban areas where numbers of managed colonies are high and habitat for feral colonies is limited.

evolutionary biology↗

bioRxiv2020

Identification of eight SARS-CoV-2 ORF7a deletion variants in 2,726 clinical specimens

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ORF7a, the ortholog of SARS-CoV ORF7a, is a type I transmembrane protein and plays an important role in virus-host interactions. Deletion variants in ORF7a may influence virulence, but only a few such isolates have been reported. Here, we report 8 unique ORF7a deletion variants of 6 to 96 nucleotides in length identified from 2,726 clinical specimens collected in March of 2020.

microbiology↗

bioRxiv2020

Analytical validation and performance characteristics of a 48-gene next-generation sequencing panel for detecting potentially actionable genomic alterations in myeloid neoplasms

Identification of genomic mutations by molecular testing plays an important role in diagnosis, prognosis, and treatment of myeloid neoplasms. Next-generation sequencing (NGS) is an efficient method for simultaneous detection of clinically significant genomic mutations with high sensitivity. However, due to lack of standard NGS protocols, the application of NGS for hematologic malignancies into clinical settings remains limited. We report development and validation of a 48-gene NGS panel for molecular profiling of myeloid neoplasms including acute myeloid leukemia (AML), myelodysplastic syndrome (MDS), and myeloproliferative neoplasms (MPN). Target regions were captured by hybridization with complementary biotinylated DNA baits, and NGS was performed on an Illumina NextSeq500 instrument. A bioinformatics pipeline that was developed in-house was used to detect single nucleotide variations (SNVs), insertions/deletions (indels), and FLT3 internal tandem duplications (FLT3-ITD). An analytical validation study was performed on 184 unique specimens for variants with allele frequencies [≥]5%. Variants identified by the 48-gene panel were compared to those identified by a 35-gene hematologic neoplasms panel using an additional 137 unique specimens. The developed assay was applied to a large cohort (n=2,053) of patients with suspected myeloid neoplasms. Analytical validation yielded 99.6% sensitivity (95% CI: 98.9-99.9%) and 100% specificity (95% CI: 100%). Concordance of variants detected by the 2 tested panels was 100%. Among patients with suspected myeloid neoplasms (n=2,053), 54.5% patients harbored at least one clinically significant mutation: 77% in AML patients, 48% in MDS, and 45% in MPN. Together, these findings demonstrate that the assay can identify mutations associated with diagnosis, prognosis, and treatment options of myeloid neoplasms.

cancer biology↗

bioRxiv2020

DGAT1 is a lipid metabolism oncoprotein that enables cancer cells to accumulate fatty acid while avoiding lipotoxicity

ABSTRACTDysregulated cellular metabolism is a hallmark of cancer. As yet, few druggable oncoproteins directly responsible for this hallmark have been identified. Increased fatty acid acquisition allows cancer cells to meet their membrane biogenesis, ATP, and signaling needs. Excess fatty acids suppress growth factor signaling and cause oxidative stress in non-transformed cells, but surprisingly not in cancer cells. Molecules underlying this cancer adaptation may provide new drug targets. Here, we identify Diacylglycerol O-acyltransferase 1 (DGAT1), an enzyme integral to triacylglyceride synthesis and lipid droplet formation, as a frequently up-regulated oncoprotein allowing cancer cells to tolerate excess fatty acids. DGAT1 over-expression alone induced melanoma in zebrafish melanocytes, and co-operated with oncogenic BRAF or NRAS for more rapid melanoma formation. Mechanistically, DGAT1 stimulated melanoma cell growth through sustaining mTOR kinase–S6 kinase signaling and suppressed cell death by tempering fatty acid oxidation, thereby preventing accumulation of reactive oxygen species including lipid peroxides.SIGNIFICANCE We show that DGAT1 is a bona fide oncoprotein capable of inducing melanoma formation and co-operating with other known drivers of melanoma. DGAT1 facilitates enhanced fatty acid acquisition by melanoma cells through suppressing lipototoxicity. DGAT1 is also critical for maintaining S6K activity required for melanoma cell growth.Competing Interest StatementThe authors have declared no competing interest.View Full Text

cancer biology↗

bioRxiv2019

Direct measurement of X-ray induced heating of microcrystals

Temperature control is a key aspect of macromolecular crystallography, with the technique of cryocooling routinely used to mitigate X-ray induced damage. Beam induced heating could cause the temperature of crystals to rise above the glass transition temperature, greatly increasing the rate of damage. X-ray induced heating of ruby crystals 20-40 microns in size has been quantified non-invasively by monitoring the emission wavelengths of X-ray induced fluorescence during exposure to the X-ray beam. For beamsizes and dose-rates typically used in macromolecular crystallography the temperature rises are of order 20 K. The temperature changes observed are compared with models in the literature and can be used as a validation tool for future models.\n\nSynopsisX-ray induced heating of micro-crystals is quantified through the temperature-dependent shift in X-ray induced fluorescence from ruby crystals.

biophysics↗

bioRxiv2019

Subtle, seasonal and potentially important: Are phytotoxic foliage leachates overlooked in plant invasion studies?

Invasive species pose a threat to global biodiversity. Recently there has been a growth in research into the chemical aspect of invasions, with some plants reported to introduce compounds to the soil which impair the growth of competing native plants. One such species is Rhododendron ponticum, which has become a damaging invasive shrub in Britain. Here we investigate whether water-soluble compounds introduced from R. ponticum leaves in Ceredigion, Wales, suppressed seed germination, and whether this varied temporally. Leachates from leaf material collected monthly (March to July) were analysed for their chemical composition by liquid chromatography-mass spectrometry and Lactuca sotiva bioassays. In total, 19 compounds were identified, displaying both qualitative and quantitative seasonal variation. Total concentrations peaked in June, however L sativa germination inhibition was only found in leachates from April and May (15% and 17% respectively). The study provides evidence that phytotoxic chemical introduction from R. ponticum leaves is seasonal and most bioactive at a time of year when the seeds of other species germinate. We propose this is one of several mechanisms including shading, lowering of soil pH and the deposition of thick litter, that this species exploits when in competition with other species. We argue that for studies on the phytotoxicity of invasive plants, there is a need to consider temporal variation in the rate and quality of bioactive chemicals produced and released, local precipitation rates, persistence of chemicals in the soil plus synergistic interactions between individual chemicals.

ecology↗