Biology subjects

Chapman, P.

Publications and source records attributed to Chapman, P..

10 recordsLinked to original sources

bioRxiv2026

Unequal requirement of KAI2 for AM symbiosis across angiosperms

Development of arbuscular mycorrhiza (AM), a symbiosis between plants and beneficial Glomeromycotan fungi, is largely under plant control. Several genes, required for AM development, are proposed to be regulated by the karrikin signalling module, comprising the alpha/beta hydrolase receptor KARRIKIN INSENSITIVE 2 (KAI2), the F-box protein MORE AXILLARY GROWTH2 (MAX2) and the transcriptional repressor SUPPRESSOR OF MAX2 1 (SMAX1), which is ubiquitylated for proteasomal degradation upon KAI2-ligand-induced binding to the KAI2-MAX2 complex. Rice and Brachypodium distachyon kai2 mutants are incapable of forming AM. Here, we show that in Lotus japonicus, Pisum sativum, and Nicotiana benthamiana, KAI2 only quantitatively affects AM development, indicating angiosperms vary in their requirement for KAI2-signalling to support AM. Comparative transcriptomics of L. japonicus and B. distachyon roots after treatment with fungal signalling molecules revealed some AM-relevant genes respond KAI2-independently in L. japonicus but not in B. distachyon. Consistently we obtained evidence for low-level degradation of SMAX1 in Ljkai2a,b observed through a ratiometric reporter for the SMAX1 degron (SMAX1D2). Further, we found an unexpected accumulation of SMAX1D2 in in response to AM even in wild type. Together, this suggests an unexpected role of SMAX1 accumulation in AM roots and that in AM symbiosis of L. japonicus, redundant mechanisms drive SMAX1 degradation and gene activation independently of KAI2.

plant biology↗

bioRxiv2024

Sub-functionalization and epigenetic regulation of a biosynthetic gene cluster in Solanaceae

Biosynthetic gene clusters (BGCs) are sets of often heterologous genes that are genetically and functionally linked. Among eukaryotes, BGCs are most common in plants and fungi, where they ensure the co-expression of the different enzymes coordinating the biosynthesis of specialised metabolites. Here, we report on a newly identified withanolide BGC in Physalis grisea (ground-cherry), a member of the nightshade family (Solanaceae). A combination of transcriptomic, epigenomic and metabolic analyses, revealed that, following a duplication event, this BGC evolved two tissue-specifically expressed sub-clusters, containing eight pairs of paralogs that contribute to related but distinct biochemical processes; this sub- functionalisation is tightly associated with epigenetic features and the local chromatin environment. The two sub-clusters appear strictly isolated from each other at the chromatin structural level, each forming a highly self-interacting chromatin domain with tissue-dependent levels of condensation. This correlates with gene expression exclusively in either above- or below-ground tissue, thus spatially separating the production of different withanolide compounds. By comparative phylogenomic analysis, we show that the withanolide BGC most likely evolved before the diversification of the Solanaceae family and underwent lineage- specific diversifications and losses. The tissue-specific sub-functionalisation is common to species of the Physalideae tribe but distinct from other, independent duplication events outside of this clade. In sum, our study reports on the first instance of an epigenetically modulated sub-functionalisation within a BGC and sheds light on the biosynthesis of withanolides, a highly diverse group of steroidal triterpenoids important in plant defence and amenable to pharmaceutical applications due to their anti-inflammatory, antibiotic and anti- cancer properties.

plant biology↗

bioRxiv2024

Spinal neuron diversity scales exponentially with swim-to-limb transformation during frog metamorphosis

Vertebrates exhibit a wide range of motor behaviors, ranging from swimming to complex limb-based movements. Here we take advantage of frog metamorphosis, which captures a swim-to-limb-based movement transformation during the development of a single organism, to explore changes in the underlying spinal circuits. We find that the tadpole spinal cord contains small and largely homogeneous populations of motor neurons (MNs) and V1 interneurons (V1s) at early escape swimming stages. These neuronal populations only modestly increase in number and subtype heterogeneity with the emergence of free swimming. In contrast, during frog metamorphosis and the emergence of limb movement, there is a dramatic expansion of MN and V1 interneuron number and transcriptional heterogeneity, culminating in cohorts of neurons that exhibit striking molecular similarity to mammalian motor circuits. CRISPR/Cas9-mediated gene disruption of the limb MN and V1 determinants FoxP1 and Engrailed-1, respectively, results in severe but selective deficits in tail and limb function. Our work thus demonstrates that neural diversity scales exponentially with increasing behavioral complexity and illustrates striking evolutionary conservation in the molecular organization and function of motor circuits across species.

neuroscience↗

bioRxiv2024

The transcriptomic landscape of spinal V1 interneurons reveals a role for En1 in specific elements of motor output

Neural circuits in the spinal cord are composed of diverse sets of interneurons that play crucial roles in shaping motor output. Despite progress in revealing the cellular architecture of the spinal cord, the extent of cell type heterogeneity within interneuron populations remains unclear. Here, we present a single-nucleus transcriptomic atlas of spinal V1 interneurons across postnatal development. We find that the core molecular taxonomy distinguishing neonatal V1 interneurons perdures into adulthood, suggesting conservation of function across development. Moreover, we identify a key role for En1, a transcription factor that marks the V1 population, in specifying one unique subset of V1Pou6f2 interneurons. Loss of En1 selectively disrupts the frequency of rhythmic locomotor output but does not disrupt flexion/extension limb movement. Beyond serving as a molecular resource for this neuronal population, our study highlights how deep neuronal profiling provides an entry point for functional studies of specialized cell types in motor output.

neuroscience↗

bioRxiv2023

Genetic dysregulation of an endothelial Ras signaling network in vein of Galen malformations

To elucidate the pathogenesis of vein of Galen malformations (VOGMs), the most common and severe congenital brain arteriovenous malformation, we performed an integrated analysis of 310 VOGM proband-family exomes and 336,326 human cerebrovasculature single-cell transcriptomes. We found the Ras suppressor p120 RasGAP (RASA1) harbored a genome-wide significant burden of loss-of-function de novo variants (p=4.79x10-7). Rare, damaging transmitted variants were enriched in Ephrin receptor-B4 (EPHB4) (p=1.22x10-5), which cooperates with p120 RasGAP to limit Ras activation. Other probands had pathogenic variants in ACVRL1, NOTCH1, ITGB1, and PTPN11. ACVRL1 variants were also identified in a multi-generational VOGM pedigree. Integrative genomics defined developing endothelial cells as a key spatio-temporal locus of VOGM pathophysiology. Mice expressing a VOGM-specific EPHB4 kinase-domain missense variant exhibited constitutive endothelial Ras/ERK/MAPK activation and impaired hierarchical development of angiogenesis-regulated arterial-capillary-venous networks, but only when carrying a "second-hit" allele. These results illuminate human arterio-venous development and VOGM pathobiology and have clinical implications.

genomics↗

bioRxiv2023

A Novel Single Vector Intersectional AAV Strategy for Interrogating Cellular Diversity and Brain Function

As the discovery of cellular diversity in the brain accelerates, so does the need for functional tools that target cells based on multiple features, such as gene expression and projection target. By selectively driving recombinase expression in a feature-specific manner, one can utilize intersectional strategies to conditionally promote payload expression only where multiple features overlap. We developed Conditional Viral Expression by Ribozyme Guided Degradation (ConVERGD), a single-construct intersectional targeting strategy that combines a self-cleaving ribozyme with traditional FLEx switches. ConVERGD offers benefits over existing platforms, such as expanded intersectionality, the ability to accommodate larger and more complex payloads, and a vector design that is easily modified to better facilitate rapid toolkit expansion. To demonstrate its utility for interrogating neural circuitry, we employed ConVERGD to target an unexplored subpopulation of norepinephrine (NE)-producing neurons within the rodent locus coeruleus (LC) identified via single-cell transcriptomic profiling to co-express the stress-related endogenous opioid gene prodynorphin (Pdyn). These studies showcase ConVERGD as a versatile tool for targeting diverse cell types and reveal Pdyn-expressing NE+ LC neurons as a small neuronal subpopulation capable of driving anxiogenic behavioral responses in rodents.

neuroscience↗

bioRxiv2022

Characterisation and automated quantification of induced seizure-related behaviours in Xenopus laevis tadpoles

Epilepsy, a clinical diagnosis characterized by paroxysmal episodes known as seizures, affects 1% of people worldwide. Safe and patient-specific treatment is vital and can be achieved by the development of rapid pre-clinical models of for identified epilepsy genes. Epilepsy can result from either brain injury or gene mutations, and can also be induced chemically. Xenopus laevis tadpoles could be a useful model for confirmation of variants of unknown significance found in epilepsy patients, and for drug re-purposing screens that could eventually lead to benefits for patients. Here, we characterise and quantify seizure-related behaviours in X. laevis tadpoles arrayed in 24-well plates. To provoke acute seizure behaviours, tadpoles were chemically induced with either pentylenetetrazole (PTZ) or 4-aminopyridine (4-AP). To test the capacity to adapt this method for drug testing, we also exposed induced tadpoles to the anti-seizure drug valproate (VPA). Four induced seizure-like behaviours were described and manually quantified, and two of these (darting, circling) could be accurately detected automatically, using the video analysis software TopScan. Additionally, we recorded swimming trajectories and mean swimming velocity. Automatic detection showed that either PTZ or 4-AP induced darting behaviour and increased mean swimming velocity compared to untreated controls. Both parameters were significantly reduced in the presence of VPA. In particular, darting behaviour was a shown to be a sensitive measure of epileptic seizure activity. While we could not automatically detect the full range of seizure behaviours, this method shows promise for future studies, since X. laevis is a well-characterised and genetically tractable model organism.

neuroscience↗

bioRxiv2019

Genomic investigation reveals contaminated detergent as the source of an ESBL-producing Klebsiella michiganensis outbreak in a neonatal unit

BackgroundKlebsiella species are problematic pathogens in neonatal units and may cause outbreaks, for which sources of transmission can be challenging to elucidate. We describe the use of whole genome sequencing (WGS) to investigate environmental sources of transmission during an outbreak of extended-spectrum-{beta}-lactamase (ESBL)-producing Klebsiella michiganensis colonizing neonates. MethodsCeftriaxone-resistant Klebsiella spp. isolated from neonates (or their mothers) and the hospital environment were included. Short-read (Illumina) and long-read (MinION, Oxford Nanopore Technologies) sequencing was used to confirm species taxonomy, define antimicrobial resistance genes and determine phylogenetic relationships using single nucleotide polymorphism (SNP) profiling. ResultsA total of 21 organisms (10 patient-derived and 11 environmental isolates) were sequenced. Standard laboratory methods identified the outbreak strain as an ESBL-producing Klebsiella oxytoca, but taxonomic assignment from WGS data suggested closer identity to Klebsiella michiganensis. Strains isolated from baby bath drains and multiple detergent dispensing bottles were either identical or closely related by SNP comparison. Detergent bottles contaminated by K. michiganensis had been used for washing milk-expressing equipment. No new cases were identified once the detergent bottles were removed and the baby baths decommissioned. ConclusionsEnvironmental reservoirs may be an important source in outbreaks of multi-drug resistant organisms. WGS, in conjunction with traditional epidemiological investigation, can be instrumental in revealing routes of transmission and guiding infection control responses. Key pointsO_LIK. michiganensis can be misidentified as K. oxytoca and is probably under-recognized as a nosocomial pathogen C_LIO_LIWhole genome sequencing of neonatal and environmental isolates during an outbreak of ESBL-producing K. michiganensis confirmed contaminated detergent and sinks to be the source C_LI

microbiology↗

bioRxiv2017

Simulation of cancer cell line pharmacogenomics data to optimise experimental design and analysis strategy

BackgroundExplaining the variability in drug sensitivity across a panel of cell lines using genomic information is a key aspect of cancer drug discovery. The results of such analyses may ultimately determine which patients are likely to benefit from a new treatment. There are numerous experimental factors that can influence the outcomes of cell line screening panels such as the number of replicates, number of doses explored etc. Simulation studies can aid in understanding how variability in these experimental factors can affect the statistical power of a given analysis method. In this study dose response data was simulated for a variety of experimental designs and the ability of different methods to retrieve the original simulation parameters was compared. The analysis methods under consideration were a combination of non-linear least squares and ANOVA, conventional approach, versus non-linear mixed effects.\n\nResultsAcross the simulation studies explored the mixed-effects approach gave similar and in some situations greater statistical power than the conventional approach. In particular the mixed-effects approach gave significantly greater power when there was less information per dose response curve, and when more cell lines screened. More generally the best way to improve statistical power was to screen more cell lines.\n\nConclusionsThis study demonstrates the value of simulating data to understand design and analysis choices in the context of cancer drug sensitivity screening. By illustrating the performance of different methods in different situations these results will help researchers in the field generate and analyse data on future preclinical compounds. Ultimately this will benefit patients by ensuring that biomarkers of drug sensitivity have an increased chance of being identified at the preclinical stage.

bioinformatics↗

bioRxiv2017

Software For The Integration Of Multi-Omics Experiments In Bioconductor

Multi-omics experiments are increasingly commonplace in biomedical research, and add layers of complexity to experimental design, data integration, and analysis. R and Bioconductor provide a generic framework for statistical analysis and visualization, as well as specialized data classes for a variety of high-throughput data types, but methods are lacking for integrative analysis of multi-omics experiments. The MultiAssayExperiment software package, implemented in R and leveraging Bioconductor software and design principles, provides for the coordinated representation of, storage of, and operation on multiple diverse genomics data. We provide all of the multiple omics data for each cancer tissue in The Cancer Genome Atlas (TCGA) as ready-to-analyze MultiAssayExperiment objects, and demonstrate in these and other datasets how the software simplifies data representation, statistical analysis, and visualization. The MultiAssayExperiment Bioconductor package reduces major obstacles to efficient, scalable and reproducible statistical analysis of multi-omics data and enhances data science applications of multiple omics datasets.

bioinformatics↗