Biology subjects

McLeod, R.

Publications and source records attributed to McLeod, R..

4 recordsLinked to original sources

bioRxiv2026

A near-ubiquitous plasmid characterises Second Pandemic Yersinia pestis

Yersinia pestis, the causative agent of plague, crippled population across Eurasia in three well-described historical pandemics: The Justinianic plague (541-780), the Second Pandemic (1346-1840) and the Third Pandemic (1894-). The Second Pandemic was the deadliest, with the Black Death (1346-1351) killing up to 60% of Europe's population, far exceeding the population mortality of the Third pandemic, despite few genomic differences between their plague strains. To identify unique genetic variation that could help explain the high death toll of the Second Plague pandemic, we used variation-graph based pan-genomics on a large dataset of 110 new and 12 published shotgun sequenced ancient plague genomes to comprehensively characterise the pangenome diversity of the Second Pandemic plague. Our pangenomic approach revealed the presence of a cryptic 34kb plasmid, pTP33, in almost all strains from the Second Pandemic, but undetectable in all other ancient strains. We find that pTP33 is a phage-plasmid-like derived element with homologues in Enterobacterales bacteria with established insect- or invertebrate-associated lifestyle phases. Our results suggest that pTP33 widened the range and infectivity of vector species available for plague transmission, consistent with reported effects on biofilm formation and bacterial retention. We hypothesise that pTP33 broadened the vector range of Y. pestis beyond the classical rat/flea cycle, facilitating the establishment of new rodent-ectoparasite plague reservoirs, which, critically, increased the risk of flea- or lice-mediated plague transmission between humans. Taken together, our findings offer a biological explanation for differences in transmission dynamics and population mortality between the Second and Third plague pandemics.

genomics↗

bioRxiv2025

Generation of C9orf72h370 mice, an intron 1 humanised C9orf72 repeat-expansion knock-in model

An autosomal dominant GGGGCC repeat expansion in intron 1 of the C9orf72 gene is the most common genetic cause of both amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Here, we set out to engineer a gene targeted mouse model harbouring a pathogenic length humanised C9orf72 repeat expansion allele, in order to model pathological mechanisms in a physiological context. In human disease, pathogenic repeats typically range from the hundreds to thousands of units in length, representing a considerable challenge for cellular and in vivo model generation given the instability of GC rich and repetitive DNA sequences during molecular cloning. To overcome this challenge, we developed new methodology to synthetically and iteratively build pure GGGGCC repeats within a linear vector system, which we then seamlessly and scarlessly embedded within the native human genomic sequence. This created a gene targeting DNA vector for homologous recombination of the human sequence in mouse embryonic stem cells. We used this novel targeting vector to generate a new gene targeted mouse allele, C9orf72h370, that for the first time has mouse C9orf72 intron 1 scarlessly replaced with human intron 1 including a pure (GGGGCC)370 hexanucleotide repeat expansion. We confirm that the mouse model expresses human intron 1-derived RNA and produces dipeptide repeat proteins derived from the GGGGCC repeat expansion. We now provide this model as a new freely available resource for the field. In addition, we demonstrate the utility of our cloning method for engineering diverse repeat expansion sequences for modelling other disorders, such as Fragile X Syndrome.

molecular biology↗

bioRxiv2021

Generation, quality control, and analysis of the first genomically humanised knock-in mice for the ALS/FTD genes SOD1, TARDBP (TDP-43), and FUS

Amyotrophic lateral sclerosis - frontotemporal dementia spectrum disorder (ALS/FTD) is a complex neurodegenerative disease; up to 10% of cases are familial, usually arising from single dominant mutations in >30 causative genes. Transgenic mouse models that overexpress human ALS/FTD causative genes have been the preferred organism for in vivo modelling. However, while conferring human protein biochemistry, these overexpression models are not ideal for dosage-sensitive proteins such as TDP-43 or FUS. We have created three next-generation genomically humanised knock-in mouse models for ALS/FTD research, by replacing the entire mouse coding region of Sod1, Tardbp (TDP-43) and Fus, with their human orthologues to preserve human protein biochemistry, with exons and introns intact to enable future modelling of coding or non-coding mutations and variants and to preserve human splice variants. In generating these mice, we have established a new-standard of quality control: we demonstrate the utility of indirect capture for enrichment of a region of interest followed by Oxford Nanopore sequencing for robustly characterising large knock-in alleles. This approach confirmed that targeting occurred at the correct locus and to map homologous recombination events. Furthermore, extensive expression data from the three lines shows that homozygous humanised animals only express human protein, at endogenous levels. Characterisation of humanised FUS animals showed that they are phenotypically normal compared to wildtype littermates throughout their lifespan. These humanised mouse strains are critically needed for preclinical assessment of interventions, such as antisense oligonucleotides (ASOs), to modulate expression levels in patients, and will serve as templates for the addition of human ALS/FTD mutations to dissect disease pathomechanisms.

neuroscience↗

bioRxiv2017

Focus: The interface between data collection and data processing in cryo-EM

We present a new software package called Focus that interfaces cryo-transmission electron microscopy (cryo-EM) data collection with computer image processing. Focus creates a user-friendly environment to import and manage data recorded by direct electron detectors and perform elemental image processing tasks in a high-throughput manner while new data is being acquired at the microscope. It provides the functionality required to remotely monitor the progress of data collection and data processing, which is essential now that automation in cryo-EM allows a steady flow of images of single particles, two-dimensional crystals, or electron tomography data to be recorded in overnight sessions. The rapid detection of any errors that may occur greatly increases the productivity of recording sessions at the electron microscope.

biophysics↗