Biology subjects

Higgins, E.

Publications and source records attributed to Higgins, E..

9 recordsLinked to original sources

bioRxiv2025

A new subgenome of the Camelina genus reveals genome dominance is controlled by chromosomal proximity

Camelina sativa is an oilseed of the Brassicaceae, whose close relatives vary in ploidy number, providing a novel platform for studying plant genome evolution. The availability of diploid, tetraploid and hexaploid species of Camelina allow the evolutionary trajectory and fate of duplicated genes in the neopolyploid Camelina species to be elucidated. Here we report an improved assembly of the widely used C. sativa reference DH55 and three new genome assemblies of Camelina microcarpa; one tetraploid CN119243 (2n = 26), and two hexaploids with divergent chromosome numbers, Type 1 - CN119205 (2n=40) and Type 2 - CN120025 (2n=38). The tetraploid represents the first step in the evolutionary path to form C. sativa, while the hexaploids suggest three divergent lineages in the formation of higher ploidy Camelina species. The previously uncharacterized fourth subgenome found in C. microcarpa Type 2, although showing some homology to the C. sativa diploid progenitor genome, C. neglecta, showed numerous unique chromosomal rearrangements differentiating it from other subgenomes present in known Camelina species. Although this species was recently formed, the second subgenome showed gene expression dominance, which was in contrast to both 2n=40 Camelina species where the third subgenome was dominant. The expression dominance in Type 2 C. microcarpa contradicted the accepted two-step evolutionary process which led to the generation of related Brassicaceae species. However, the observed genome dominance in all Camelina species was negatively correlated with inter-subgenome chromatin interaction frequencies, suggesting that chromosome confirmation and proximity in the nucleus contributes to this mechanism of genome evolution. Despite the differences in genome structure, successful inter-specific hybridization provided evidence of chromosomal exchange between the divergent third sub-genomes of C. sativa and C. microcarpa Type 2, opening up a novel avenue to new diversity in the established oilseed. Key pointsO_LIAn improved genomic understanding of Camelina species and identification of distinct subgenome structures and relationships, which will facilitate strategies to increase the genetic diversity in C. sativa. C_LIO_LISubgenome evolution and subgenome dominance in polyploids is associated with chromosomal architecture and proximity in the nucleus. C_LIO_LIGenome assemblies representing all ploidy levels in the Camelina genus provide a unique and valuable platform for polyploid research. C_LI

genomics↗

bioRxiv2025

Targeting Runx1 protects against heart failure with preserved ejection fraction

Heart failure with preserved ejection fraction (HFpEF) is a public health problem and an elusive illness for which there are few treatment options. HFpEF is a systemic condition with a broad phenotype including diastolic dysfunction, pulmonary oedema, exercise intolerance, and left ventricular (LV) hypertrophy, collectively resulting in enhanced morbidity and mortality. Master-regulator transcription factor RUNX1 has recently been identified as a mediator of pathological changes in many cardiac diseases, however its role in HFpEF was unknown. Here we show that inhibition of Runx1 limits adverse cardiac remodelling in a clinically relevant mouse model of HFpEF. Cardiomyocyte-specific tamoxifen-inducible Runx1-deficient mice with HFpEF are protected, with preservation of diastolic function, and attenuation of pulmonary oedema, exercise intolerance, and hypertrophy. Furthermore, targeting Runx1 in HFpEF by using gene transfer or small molecule inhibitors improves diastolic function, both in female and male mice. Overall, our research enhances our understanding of RUNX1 in cardiac disease and demonstrates a novel translational target for the treatment of HFpEF. Keywords: Heart failure with preserved ejection fraction, metabolic heart failure, diastolic dysfunction, hypertrophy, pulmonary oedema, exercise intolerance CLINICAL PERSPECTIVEHeart failure (HF) is a leading cause of death world-wide and traditionally divided into different subtypes according to cardiac ejection fraction (EF). In contrast to HF with reduced EF (HFrEF), there are limited treatment options for HF with preserved EF which is of considerable concern given that HFpEF is projected to become the dominant HF subtype in the future 1. RUNX1 has been demonstrated to play an important role in the development of many cardiac and non-cardiac diseases. As a result, the potential for RUNX1 inhibitors as therapeutic agents across various conditions has become increasingly evident. In this study we established the therapeutic potential of targeting RUNX1 in the context of HFpEF. Targeting RUNX1 in cardiomyocytes markedly attenuates the development of the HFpEF phenotype and therefore this novel translational therapeutic target has great potential to address one of the biggest challenges in cardiac research.

physiology↗

bioRxiv2024

Harnessing genome prediction in Brassica napus through a nested association mapping population

Genome prediction (GP) significantly enhances genetic gain by improving selection efficiency and shortening crop breeding cycles. Using a nested association mapping (NAM) population a set of diverse scenarios were assessed to evaluate GP for vital agronomic traits in B. napus. GP accuracy was examined by employing different models, marker sets, population sizes, marker densities, and incorporating genome-wide association (GWAS) markers. Eight models, including linear and semi-parametric approaches, were tested. The choice of model minimally impacted GP accuracy across traits. Notably, two models, rrBLUP and RKHS, consistently yielded the highest prediction accuracies. Employing a training population of 1500 lines or more resulted in increased prediction accuracies. Inclusion of single nucleotide absence polymorphism (SNaP) markers significantly improved prediction accuracy, with gains of up to 15%. Utilizing the Brassica 60K Illumina SNP array, our study effectively revealed the genetic potential of the B. napus NAM panel. It provided estimates of genomic predictions for crucial agronomic traits through varied prediction scenarios, shedding light on achievable genetic gains. These insights, coupled with marker application, can advance the breeding cycle acceleration in B. napus. Core ideasO_LIGenome prediction (GP) enhances genetic gains by improving selection efficiency and shortening breeding cycles. C_LIO_LIFactors influencing GP accuracy include model choice, marker types, and population size. C_LIO_LIInclusion of SNaP markers and highly significant GWAS markers improves prediction accuracy, shedding light on achievable genetic gains. C_LI Plain SummaryGenome prediction (GP) is a powerful tool that helps us improve crops more efficiently. In this study, we assessed how well GP works for predicting important traits in Brassica napus plants. We tested different models and marker sets to see which ones were most accurate. We found that two models, rrBLUP and RKHS, were consistently the best. Also, including certain types of genetic markers, like SNaP markers and highly significant GWAS markers, improved the predictions. Overall, our study shows that GP can help us understand the genetic potential of B. napus plants and improve breeding strategies, which can be exploited to develop better varieties more quickly, which is good news for farmers and the food supply.

genomics↗

bioRxiv2023

The Calcium-sensing receptor is an important regulator of female visceral and perivascular adipocyte function.

The Calcium-sensing receptor (CaSR) is a G protein-coupled receptor activated by fluctuations in extracellular calcium concentrations. Its importance in calcium homeostasis has long been established, though its role in other tissues is not well understood. Obesity is a major epidemic with both clinical and social consequences, therefore, understanding the full function and regulation of adipocytes is of critical importance. Adipocyte CaSR has previously been linked to lipolysis and inflammation in vitro. In this study, we set out to further our understanding of adipocyte CaSR in vivo via the generation of an adipocyte specific CaSR knockout mouse (CaSRAd-/-). We found female CaSRAd-/- mice weighed less than wildtype littermates with a significant reduction in visceral adipocyte size potentially due to increased expression of brown fat markers UCP-1 and Cidea. We also established that CaSR is expressed in perivascular adipose tissue (PVAT) and that its deletion protects female mice from PVAT driven hypercontractility. In contrast CaSR deletion had no effect on male body mass, adipocyte size or vascular reactivity. In conclusion, CaSR seems to be of importance in female but not male visceral and perivascular adipose tissue.

physiology↗

bioRxiv2023

CATE: A fast and scalable CUDA implementation to conduct highly parallelized evolutionary tests on large scale genomic data.

Statistical tests for molecular evolution provide quantifiable insights into the selection pressures that govern a genomes evolution. Increasing sample sizes used for analysis leads to higher statistical power. However, this requires more computational nodes or longer computational time. CATE (CUDA Accelerated Testing of Evolution) is a computational solution to this problem comprised of two main innovations. The first is a file organization system coupled with a novel search algorithm and the second is a large-scale parallelization of algorithms using both GPU and CPU. CATE is capable of conducting evolutionary tests such as Tajimas D, Fu and Lis, and Fay and Wus test statistics, McDonald-Kreitman Neutrality Index, Fixation Index, and Extended Haplotype Homozygosity. CATE is magnitudes faster than standard tools with benchmarks estimating it being on average over 180 times faster. For instance, CATE processes all 54,849 human genes for all 22 autosomal chromosomes across the five super populations present in the 1000 Genomes Project in less than thirty minutes while counterpart software took 3.62 days. This proven framework has the potential to be adapted for GPU-accelerated large-scale parallel analyses of many evolutionary and genomic analyses.

bioinformatics↗

bioRxiv2022

Small-molecule ketone esters treat brain network abnormalities in an Alzheimer's disease mouse model

Altered brain network activity and the resulting hypersynchrony are important for the pathogenesis of cognitive decline in Alzheimers disease (AD) mouse models. Treatments that reduce epileptiform discharges (EDs) or network hyperactivity improve cognition in AD models and humans. We first show that ketogenic diet, but not fasting, rapidly and persistently reduced EDs in the hAPPJ20 Alzheimers mouse model over timescales of hours to months. Then, to identify the specific mechanism of the pleiotropic ketogenic diet, we developed small molecule ketone esters to deliver ketone bodies pharmacologically. Two ketone esters recapitulate ED suppression without other dietary manipulation, over time scales of minutes to one week. This small molecule rescue was associated with reduced low-frequency oscillatory activity similar to the recently reported mechanism of an NMDA receptor modulator molecule in this model. Long-term KD resulted in cognitive improvement and in a sex-stratified analysis also improved survival in the more severely affected hAPPJ20 males. Agents that deliver ketone bodies via small molecules or act on downstream targets may hold therapeutic promise in AD through the mechanism of improved network function and reduced epileptiform activity.

neuroscience↗

bioRxiv2022

Asymmetric dimethylarginine positively modulates Calcium-Sensing Receptor signalling to promote lipid accumulation and adiposity

Irreversible methylation of arginine residues generates asymmetric dimethylarginine (ADMA). ADMA is a competitive inhibitor of nitric oxide (NO) synthase and an independent risk factor for cardiovascular disease. Plasma ADMA concentrations increase with obesity and fall following weight loss. Here, we demonstrate that ADMA drives lipid accumulation through a newly identified NO-independent pathway via the amino-acid sensitive calcium-sensing receptor (CaSR). ADMA treatment of 3T3-L1 and HepG2 cells activates mTOR signalling and upregulates a suite of lipogenic genes with an associated increase in triglyceride content. Pharmacological blockade of CaSR inhibits ADMA driven lipid accumulation and ADMA treatment potentiates CaSR signalling via both Gq and Gi/o pathways. Impairment of ADMA metabolism in adipocytes in vivo, by dimethylamine dimethylaminohydrolase-1 (DDAH1) deletion, increases visceral adiposity and adipocyte hypertrophy. This study identifies a signalling mechanism for ADMA as an endogenous ligand of the G protein-coupled receptor CaSR that potentially contributes to the impact of ADMA in cardiometabolic disease.

physiology↗

bioRxiv2021

PySTACHIO: Python Single-molecule TrAcking stoiCHiometry Intensity and simulatiOn, a flexible, extensible, beginner-friendly and optimized program for analysis of single-molecule microscopy data

As camera pixel arrays have grown larger and faster, and optical microscopy techniques ever more refined, there has been an explosion in the quantity of data acquired during routine light microcopy. At the single-molecule level, analysis involves multiple steps and can rapidly become computationally expensive, in some cases intractable on office workstations. Complex bespoke software can present high activation barriers to entry for new users. Here, we redevelop our quantitative single-molecule analysis routines into an optimized and extensible Python program, with GUI and command-line implementations to facilitate use on local machines and remote clusters, by beginners and advanced users alike. We demonstrate that its performance is on par with previous MATLAB implementations but runs an order of magnitude faster. We tested it against challenge data and demonstrate its performance is comparable to state-of-the-art analysis platforms. We show the code can extract fluorescence intensity values for single reporter dye molecules and, using these, estimate molecular stoichiometries and cellular copy numbers of fluorescently-labeled biomolecules. It can evaluate 2D diffusion coefficients for the characteristically short single-particle tracking data. To facilitate benchmarking we include data simulation routines to compare different analysis programs. Finally, we show that it works with 2-color data and enables colocalization analysis based on overlap integration, to infer interactions between differently labelled biomolecules. By making this freely available we aim to make complex light microscopy single-molecule analysis more democratized. HighlightsO_LIWe present PySTACHIO, a refined version of our spot tracking algorithm C_LIO_LIWe demonstrate highly improved performance over previous MATLAB versions C_LIO_LIPySTACHIO can accurately estimate stoichiometries and 2D diffusion coefficients C_LIO_LIPerformance is comparable to state-of-the-art packages on challenge data C_LIO_LIPySTACHIO has both GUI and command line interfaces and can be hosted as a web app C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=77 SRC="FIGDIR/small/435952v3_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@17cc45dorg.highwire.dtl.DTLVardef@3fb66eorg.highwire.dtl.DTLVardef@e20360org.highwire.dtl.DTLVardef@4ba47d_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2020

High contiguity long read assembly of Brassica nigra allows localization of active centromeres and provides insights into the ancestral Brassica genome.

High-quality nanopore genome assemblies were generated for two Brassica nigra genotypes (Ni100 and CN115125); a member of the agronomically important Brassica species. The N50 contig length for the two assemblies were 17.1 Mb (58 contigs) and 0.29 Mb (963 contigs), respectively, reflecting recent improvements in the technology. Comparison with a de novo short read assembly for Ni100 corroborated genome integrity and quantified sequence related error rates (0.002%). The contiguity and coverage allowed unprecedented access to low complexity regions of the genome. Pericentromeric regions and coincidence of hypo-methylation enabled localization of active centromeres and identified a novel centromere-associated ALE class I element which appears to have proliferated through relatively recent nested transposition events (<1 million years ago). Computational abstraction was used to define a post-triplication Brassica specific ancestral genome and to calculate the extensive rearrangements that define the genomic distance separating B. nigra from its diploid relatives.

genomics↗