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Holmes, A. H.

Publications and source records attributed to Holmes, A. H..

2 recordsLinked to original sources
bioRxiv2026

Two IncHI1 megaplasmids in Klebsiella species reveal transposable-element-mediated blaIMP-1 mobilisation

Introduction. Carbapenemase-producing Enterobacterales (CPE) represent a major threat to hospitalised patients worldwide. The dissemination of carbapenemase genes, such as blaIMP, is frequently mediated by mobile genetic elements including plasmids. During a previously described multispecies, healthcare-associated outbreak of blaIMP-positive CPE in North West London, two unusual isolates, IMP47 (Klebsiella grimontii) and IMP76 (K. pneumoniae), recovered in 2019 from routinely collected rectal swabs of inpatients, were predicted to harbour blaIMP-1-carrying IncHI1 megaplasmids. Aims. This study aimed to determine complete genomic sequences of IMP47 and IMP76, resolve the genetic context of blaIMP-1, and assess the conjugative mobility of blaIMP-1-carrying megaplasmids. Methods. Genomic sequences of both isolates were recovered through hybrid assembly of Oxford Nanopore and Illumina sequencing reads. Complete plasmid sequences were characterised to determine replicons, conjugation machinery, and genes encoding resistance to antimicrobials or other stress factors. Integrons and transposable elements (TEs) within flanking regions of blaIMP-1 were resolved through genome annotation and search against public databases. Liquid-mating experiments were performed to assess the mobility of blaIMP-1-carrying plasmids. Results. Completed genome assemblies were generated from both isolates, confirming two blaIMP-1-carrying megaplasmids, pIMP47 (391 kbp) and pIMP76_1 (519 kbp), of the replicon type IncHI1A(pNDM-CIT)/IncHI1B(pNDM-CIT). The blaIMP-1 locus was carried by nearly identical class 1 integrons in both plasmids and a closely related IncHI1 megaplasmid pEB3_IMP1 (361 kbp) previously identified in South West England. Comparative analysis revealed conserved genetic structures linking blaIMP-1 to mercury-resistance genes and TEs Tn6025, TnAs3, IS26, and IS5075, suggesting a history of recombination and potential for TE-mediated mobilisation. Conjugation experiments confirmed transfer of pIMP76_1 into a recipient K. pneumoniae strain, resulting in acquisition of ertapenem resistance, whereas transfer of pIMP47 was not observed under the tested conditions. Conclusion. Two IMP-producing IncHI1 megaplasmids in gut-colonising Klebsiella species revealed TE-mediated blaIMP-1 mobilisation. The co-localisation of blaIMP-1 and metal-resistance genes in both plasmids highlights the potential for co-selection of blaIMP-1 in environments enriched with metal ions. Our findings underscore the importance of longitudinal genomic surveillance of carbapenemase-encoding megaplasmids in healthcare settings.

microbiology↗
bioRxiv2022

An adaptive filtering framework for non-specific and inefficient reactions in multiplex digital PCR based on sigmoidal trends

Real-time digital PCR (qdPCR) coupled with artificial intelligence has shown the potential of unlocking scientific breakthroughs, particularly in the field of molecular diagnostics for infectious diseases. One of the most promising applications is the use of machine learning (ML) methods to enable single fluorescent channel PCR multiplex by extracting target-specific kinetic and thermodynamic information contained in amplification curves. However, the robustness of such methods can be affected by the presence of undesired amplification events and nonideal reaction conditions. Therefore, here we proposed a novel framework to filter non-specific and low efficient reactions from qdPCR data using outlier detection algorithms purely based on sigmoidal trends of amplification curves. As a proof-of-concept, this framework is implemented to improve the classification performance of the recently reported ML-based Amplification Curve Analysis (ACA), using available data from a previous publication where the ACA method was used to screen carbapenemase-producing organisms in clinical isolates. Furthermore, we developed a novel strategy, named Adaptive Mapping Filter (AMF), to consider the variability of positive counts in digital PCR. Over 152,000 amplification events were analyzed. For the positive reactions, filtered and unfiltered amplification curves were evaluated by comparing against melting peak distribution, proving that abnormalities (filtered out data) are linked to shifted melting distribution or decreased PCR efficiency. The ACA was applied to compare classification accuracies before and after AMF, showing an improved sensitivity of 1.18% for inliers and 20% for outliers (p-value < 0.0001). This work explores the correlation between kinetics of amplification curves and thermodynamics of melting curves and it demonstrates that filtering out non-specific or low efficient reactions can significantly improve the classification accuracy for cutting edge multiplexing methodologies.

molecular biology↗