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Read, A.

Publications and source records attributed to Read, A..

4 recordsLinked to original sources

Real-time identification of carbapenemase-producing Klebsiella pneumoniae lineages and outbreak detection using FT-IR ATR

Expansion of carbapenemase-producing Klebsiella pneumoniae (CP-Kp) is driven by nosocomial dissemination, and effective infection control depends on timely and reliable typing data. Here, we evaluated our previously developed Fourier-transform infrared spectroscopy (FT-IR) with attenuated total reflectance (ATR) workflow for real-time typing of Kp capsular (KL)-types and lineages to support infection control. FT-IR spectra were acquired from Columbia agar with 5% sheep blood cultures of all CP-Kp infection isolates (n=136) from hospitalized patients at a northern Portugal hospital (April 2022 - March 2023), and analyzed using automated machine-learning (ML) classification models. Typing results were confirmed by wzi sequencing, MLST and/or WGS. FT-IR typing on Columbia agar plates showed 73% sensitivity, 79% specificity and 74% accuracy. Our method correctly typed 94% of typeable isolates (78/83), from which 87% were comunicated in <24h. Sixty percent of non-typeable isolates were considered false negatives, but the majority (66%) was correctly predicted when re-tested in Mueller-Hinton agar, improving sensitivity (92%), specificity (76%) and accuracy (89%) of Kp typing. Three Kp lineages (ST147-KL64, ST15-KL19, ST268-KL20) represented 74% of the sample, with ST268-KL20 causing an outbreak in Neonatal Intensive Care unit, quickly recognized by FT-IR enabling immediate infection control measures. Epidemiological links between patiens were mostly found on medical, surgical and urology units, using EpiLinx software. Most isolates (98%) produced KPC-3. Our FT-IR ATR ML-based typing workflow demonstrated high performance standards in real-time and high adaptability to clonal dynamics. The unprecedent time-to-response (same day of species identification) represents an opportunity to implement timely and effective infection control measures. ImportanceThis study represents the first prospective and real-time evaluation of FT-IR spectroscopy to type multidrug resistant Klebsiella pneumoniae to support surveillance and infection control. We demonstrate a high sensitivity, specificity and accuracy of a previously developed workflow that allows precise identification of K. pneumoniae lineages. The adaptability to changes in clonal dynamics and bacterial typing in <24h offer significant advantages in both high- and low-income countries for a timely infection control and improvement of antimicrobial resistance management.

microbiology↗

Contrasting dynamics of two incursions of low pathogenicity avian influenza virus into Australia

The current panzootic of high pathogenicity avian influenza virus H5N1 demonstrates how viral incursions can have major ramifications for wildlife and domestic animals. Herein, we describe the recent incursion into Australia of two low pathogenicity avian influenza virus subtypes, H4 and H10, that exhibited contrasting evolutionary dynamics. Viruses detected from national surveillance and disease investigations between 2020-2022 revealed 27 genomes, 24 of which have at least one segment more closely related to Eurasian or North American avian influenza lineages than those already circulating in Australia. Phylogenetic analysis revealed that H4 viruses circulating in shorebirds represent a recent incursion from Asia that is distinct from those circulating concurrently in Australian waterfowl. Analysis of the internal segments further demonstrates exclusive, persistent circulation in shorebirds. This contrasts with H10, where a novel lineage has emerged in wild waterfowl, poultry and captive birds across Australia, and has likely replaced previously circulating H10 lineages through competitive exclusion. Elucidating different dynamics for avian influenza incursions supports effective disease risk identification and communication that better informs disease preparedness and response.

microbiology↗

Mutator transposon insertions within maize genes often provide a novel outward reading promoter

The highly active family of Mutator (Mu) DNA transposons has been widely used for forward and reverse genetics in maize. There are examples of Mu-suppressible alleles which result in conditional phenotypic effects based on the activity of Mu. Phenotypes from these Mu- suppressible mutations are observed in Mu-active genetic backgrounds, but absent when Mu activity is lost. For some Mu-suppressible alleles, phenotypic suppression likely results from an outward-reading promoter within Mu that is only active when the autonomous Mu element is silenced or lost. We isolated 35 Mu alleles from the UniformMu population that represent insertions in 24 different genes. Most of these mutant alleles are due to insertions within gene coding sequences, but several 5 UTR and intron insertions were included. RNA-seq and de novo transcript assembly were utilized to document the transcripts produced from 33 of these Mu insertion alleles. For 20 of the 33 alleles, there was evidence of transcripts initiating within the Mu sequence reading through the gene. This outward-reading promoter activity was detected in multiple types of Mu elements and doesnt depend on the orientation of Mu. Expression analyses of Mu-initiated transcripts revealed the Mu promoter often provides gene expression levels and patterns that are similar to the wild-type gene. These results suggest the Mu promoter may represent a minimal promoter that can respond to gene cis-regulatory elements. Findings from this study have implications for maize researchers using the UniformMu population, and more broadly highlights a strategy for transposons to co-exist with their host. Article SummaryMutator (Mu) transposable elements are a widely used tool for insertional mutagenesis in maize and often insert in the 5 regions of genes. The characterization of transcripts for Mu insertion alleles reveals complex transcripts. These often result in one transcript that covers the first portion of the gene terminating in Mu and a second transcript initiating within Mu covering the latter portion of the gene. This may reflect a strategy for Mu to minimize the consequences of insertions within genes.

plant biology↗

Combined analysis of transposable elements and structural variation in maize genomes reveals genome contraction outpaces expansion

BackgroundStructural differences between genomes are a major source of genetic variation that contributes to phenotypic differences. Transposable elements, mobile genetic sequences capable of increasing their copy number and propagating themselves within genomes, can generate structural variation. However, their repetitive nature makes it difficult to characterize fine-scale differences in their presence at specific positions, limiting our understanding of their impact on genome variation. Domesticated maize is a particularly good system for exploring the impact of transposable element proliferation as over 70% of the genome is annotated as transposable elements. High-quality transposable element annotations were recently generated for de-novo genome assemblies of 26 diverse inbred maize lines. ResultsWe generated base-pair resolved pairwise alignments between the B73 maize reference genome and the remaining 25 inbred maize line assemblies. From this data, we classified transposable elements as either shared or polymorphic in a given pairwise comparison. Our analysis uncovered substantial structural variation between lines, representing both putative insertion and deletion events. Putative insertions in SNP depleted regions, which represent recently diverged identity by state blocks, suggest some TE families may still be active. However, our analysis reveals that, genome-wide, deletions of transposable elements account for more structural variation than insertions. These deletions are often large structural variants containing multiple transposable elements. ConclusionsCombined, our results highlight how transposable elements contribute to structural variation and demonstrate that deletion events are a major contributor to genomic differences.

genomics↗