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Neil, M.

Publications and source records attributed to Neil, M..

5 recordsLinked to original sources

The large conjugative plasmid pAB3 integrates into the chromosome of Acinetobacter baumannii ATCC 17978

ATCC 17978 is one of the most utilised lab strains of Acinetobacter baumannii. Current literature suggests ATCC 17978 can have either a sulfamethoxazole-resistant phenotype or have the type VI secretion system (T6SS) switched on depending on the presence/absence of the large conjugative plasmid pAB3, which encodes the antimicrobial resistance gene (ARG) sul2 and T6SS repressors tetR1/tetR2. Here, we show that pAB3 integrates into the ATCC 17978 chromosome, which enables a large inversion resulting in the chromosomal arrangement labelled GS2.24 by Socru. This integration has no transcriptional impact on nearby genes or tetR1/tetR2. We find several instances were a portion of integrated pAB3 containing tetR2 is lost but the rest of the sequence, including sul2, is maintained, suggesting pAB3 integration may serve to make further rearrangements more tractable, enabling a putative T6SS+ sulfamethoxazole-resistant phenotype.

microbiology↗

Phylogeny informed international clone assignment with PhyloMLST

Multilocus sequence typing (MLST) remains the predominant method for typing bacterial strains. A common method for investigating particularly successful epidemic lineages within a species is to cluster isolates with similar MLST profiles into clonal complexes (CCs). Some CCs, such as international clones (ICs) in A. baumannii, are identified with specific sequence types (STs) and are of particular importance to human health. Although theoretically simple, there is a lack of convenient, user-friendly tools perform this analysis. Here we present PhyloMLST, a tool to cluster bacterial isolates into CCs and map them to ICs using the output from existing MLST tools and user-provided STs. As there is potential for aberrant IC assignment arising from excessively large CCs constructed with spurious links, PhyloMLST provides additional functionality to correct IC assignment with a user-provided phylogenetic tree. Although designed with A. baumannii in mind, PhyloMLST can be applied to any bacteria where construction and investigation of CCs based on MLST is performed. Impact statementMany bacterial pathogens are characterised by successful epidemic lineages that are responsible for a substantial number of infections, may be more virulent, and may carry an abundance of antimicrobial resistance genes. These epidemic lineages are comprised of a number of multilocus sequence typing (MLST) sequence types (STs), clustered into clonal complexes (CCs). To date, identifying which STs belong to which epidemic lineage has been challenging, with no simple analytical tools available. Here, we present PhyloMLST - a phylogenetically-aware method for assigning STs to epidemic lineages. The customisable nature of the tool will enable researchers to straightforwardly characterise any population of bacteria that they are working on using MLST data and user-defined definitions of epidemic lineages. Data summaryThe PhyloMLST source code and example data shown here is available at https://github.com/Mattn286/PhyloMLST.

microbiology↗

Quantitative evaluation of LED based optical autofocus module

We report an improved version of the open-source optical autofocus module ("openAF") for light microscopy using a light emitting diode (LED), together with a method to independently quantify the performance of optical autofocus systems using 2D autocorrelation analysis of astigmatic imaging of fluorescent nanobeads. We apply the latter for both the LED-based and the previous super luminescent diode (SLD) based implementations of the openAF optical autofocus approach used in conjunction with a 100x 1.4 NA oil-immersion objective lens. The new approach accounts for power variations in the autofocus light source and we demonstrate that the convenient LED-based system can provide axial stability with a standard deviation <10 nm over at least 45 minutes when switched on from cold, during which the LED power varies as it reaches thermal equilibrium.

bioengineering↗

Historical isolates provide insights into the evolution of Acinetobacter baumannii international clone 2 and its resistome

Acinetobacter baumannii remains a pervasive nosocomial pathogen, with international clone 2 (IC2) being the most successful lineage. IC2 is often discussed as a singular entity, and the genomic factors behind its success over other lineages are poorly characterised. This study aimed to track genomic changes occurring around the emergence of IC2 and further determine the within-clone population structure. A set of historical A. baumannii isolates from the 1970s to early 2000s were long-read sequenced and assembled into high-quality chromosomes. These were then used to supplement publicly available A. baumannii genomes, producing a dataset of 1,281 chromosomes derived from isolates collected across six continents. A recombination-free phylogeny was produced and combined with antimicrobial resistance gene (ARG) presence/absence data. Analysis showed that IC2 began to emerge as the dominant lineage around 2005, which coincides with the acquisition of oxa23 and AbGRI3. Further, IC2 can be split into at least four distinct groups. Groups 1, 2, and 3 represent incremental evolution of the A. baumannii chromosome over time, while group 4 represents a separate evolutionary path distinct from the main IC2 lineage, which has recently been isolated at higher frequency. Significance statementCharacterising the evolution and population structure of antimicrobial-resistant bacterial pathogens is of key importance both for epidemiological monitoring and developing approaches to combat infections and their spread. Here, we use a unique collection of historical isolates to show that the major international clone in the WHO priority pathogen Acinetobacter baumannii is comprised of different, independent groups with individual antimicrobial resistance gene compliments. This highlights new areas for research to understand the clinical impact of the different groups and the drivers underlying the evolution and spread of epidemic clones of antimicrobial-resistance bacterial pathogens.

microbiology↗

Subcellular resolution 3D light field imaging with genetically encoded voltage indicators

Light field microscopy (LFM) enables high signal-to-noise ratio (SNR), light efficient volume imaging at fast frame rates, and has been successfully applied to single-cell resolution functional neuronal calcium imaging. Voltage imaging with genetically encoded voltage indicators (GEVIs) stands to particularly benefit from light field microscopys volumetric imaging capability due to high required sampling rates, and limited probe brightness and functional sensitivity. Previous LFM studies have imaged GEVIs to track population-level interactions only in invertebrate preparations and without single cell resolution. Here we demonstrate sub-cellular resolution GEVI light field imaging in acute mouse brain slices resolving dendritic voltage signals localized in three dimensions. We characterize the effects of different light field reconstruction techniques on the SNR and signal localization and compare the SNR to fluorescence transients imaged in wide field. Our results demonstrate the potential of light field voltage imaging for studying dendritic integration and action potential propagation and backpropagation in 3 spatial dimensions.

neuroscience↗