Nature CommunicationsMicrobiologyPeer-reviewed journal article
E. coli phylogeny drives co-amoxiclav resistance through variable expression of blaTEM-1
William MatlockiD, Gillian RodgeriD, Emma Pritchard, Matthew ColpusiD, Natalia KapeliD, Lucinda K. BarrettiD, Marcus R. Morgan, Sarah J OakleyiD, Katie L. HopkinsiD, Aysha Roohi, Drosos E. KarageorgopoulosiD, Matthew B. AvisoniD, Ann Sarah WalkeriD, Samuel LipworthiD, Nicole E StoesseriD
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Abstract
Co-amoxiclav resistance in E. coli is a clinically important phenotype associated with increased mortality. The class A beta-lactamase blaTEM-1 is often carried by co- amoxiclav-resistant pathogens, but exhibits high phenotypic heterogeneity, making genotype-phenotype predictions challenging. We present a curated dataset of n=377 E. coli isolates representing all 8 known phylogroups, where the only acquired beta- lactamase is blaTEM-1. For all isolates, we generate hybrid assemblies and co-amoxiclav MICs, and for a subset (n=67/377), blaTEM-1 qPCR expression data. First, we test whether certain E. coli lineages are intrinsically better or worse at expressing blaTEM-1, for example, due to lineage differences in regulatory systems, which are challenging to directly quantify. Using genotypic features of the isolates (blaTEM-1 promoter variants and copy number), we develop a hierarchical Bayesian model for blaTEM-1 expression that controls for phylogeny. We establish that blaTEM-1 expression intrinsically varies across the phylogeny, with some lineages (e.g. phylogroups B1 and C, ST12) better at expression than others (e.g. phylogroups E and F, ST372). Next, we test whether phylogenetic variation in expression influences the resistance of the isolates. With a second model, we use genotypic features (blaTEM-1 promoter variants, copy number, duplications; ampC promoter variants; efflux pump AcrF presence) to predict isolate MIC, again controlling for phylogeny. Lastly, we use a third model to demonstrate that the phylogenetic influence on blaTEM-1 expression causally drives the variation in co- amoxiclav MIC. This underscores the importance of incorporating phylogeny into genotype-phenotype predictions, and the study of resistance more generally.
- organism: E. coli
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- approach: statistical model
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