Valiente-Mullor, C. | bioRxiv Science

bioRxiv2026

Multihospital expansion of vancomycin-resistant Enterococcus faecium ST117-CT7799 and transmission of linear plasmids co-carrying vanA and linezolid resistance genes, Comunitat Valenciana, Spain (2022-2024)

BackgroundVancomycin-resistant Enterococcus faecium (VREfm) is a WHO priority pathogen. In the Comunitat Valenciana (CV), Spain, VREfm prevalence has increased since 2022. We characterized the population structure, transmission patterns and resistance determinants of VREfm across eight hospitals (2021-2024). MethodsEight hospitals reported 870 VREfm cases during 2021-2024. We sequenced 254 VREfm isolates using WGS (Illumina) and inferred relatedness by MLST, cgMLST, and core-genome SNP analyses. Acquired antimicrobial resistance (AMR) genes, bacteriocins, plasmid replicases and putative virulence markers (PVMs) were identified in silico. Thirty-eight representatives underwent Nanopore long-read sequencing and hybrid assembly to resolve plasmids. ResultsThe predominant vancomycin-resistance genotype was vanB (62%; six hospitals), followed by vanA (19%; five hospitals) and vanA+vanB (17%; five hospitals). Eight sequence types (ST) and 15 clonal complexes (CT) were identified, grouped into seven main phylogenetic clades with close relatedness to publicly available genomes from other regions of Spain and Europe. A single lineage, ST117-CT7799, accounted for 198/254 (78%) isolates, persisted during 2022-2024 across seven hospitals and was enriched in the bacteriocin gene bac43 (or T8) (84%). Linezolid-resistance genes optrA and cfr(D) were present in 34% of isolates, most of which also carried vanA (32%). Hybrid assemblies revealed a diverse plasmidome including RepA_N megaplasmids with PVMs and AMR genes, and small Rep3-like plasmids harbouring bacteriocins (bac43, bac51, bacAS9); a 6 kb repA_pB82 plasmid was bac43-positive in 37/38 (97%) fully resolved carriers. Eight strains across four hospitals carried identical linear plasmids co-harbouring vanA, optrA, cfrD genes within a widespread repUS78_pZY2 background, consistent with inter-lineage plasmid transmission. ConclusionsThis first comprehensive genomic analysis of VREfm in CV indicates extensive inter-hospital spread dominated by expansion of ST117-CT7799 and highlights plasmid-mediated convergence of vancomycin and linezolid resistance via linear plasmids. Strengthened infection prevention and genomic surveillance, including long-read sequencing to track linear plasmids, are warranted.

microbiology↗

bioRxiv2020

One is not enough: on the effects of reference genome for the mapping and subsequent analyses of short-reads

Mapping of high-throughput sequencing (HTS) reads to a single arbitrary reference genome is a frequently used approach in microbial genomics. However, the choice of a reference may represent a source of errors that may affect subsequent analyses such as the detection of single nucleotide polymorphisms (SNPs) and phylogenetic inference. In this work, we evaluated the effect of reference choice on short-read sequence data from five clinically and epidemiologically relevant bacteria (Klebsiella pneumoniae, Legionella pneumophila, Neisseria gonorrhoeae, Pseudomonas aeruginosa and Serratia marcescens). Publicly available whole-genome assemblies encompassing the genomic diversity of these species were selected as reference sequences, and read alignment statistics, SNP calling, recombination rates, dN/dS ratios, and phylogenetic trees were evaluated depending on the mapping reference. The choice of different reference genomes proved to have an impact on almost all the parameters considered in the five species. In addition, these biases had potential epidemiological implications such as including/excluding isolates of particular clades and the estimation of genetic distances. These findings suggest that the single reference approach might introduce systematic errors during mapping that affect subsequent analyses, particularly for data sets with isolates from genetically diverse backgrounds. In any case, exploring the effects of different references on the final conclusions is highly recommended. Author summaryMapping consists in the alignment of reads (i.e., DNA fragments) obtained through high-throughput genome sequencing to a previously assembled reference sequence. It is a common practice in genomic studies to use a single reference for mapping, usually the reference genome of a species --a high-quality assembly. However, the selection of an optimal reference is hindered by intrinsic intra-species genetic variability, particularly in bacteria. Biases/errors due to reference choice for mapping in bacteria have been identified. These are mainly originated in alignment errors due to genetic differences between the reference genome and the read sequences. Eventually, they could lead to misidentification of variants and biased reconstruction of phylogenetic trees (which reflect ancestry between different bacterial lineages). However, a systematic work on the effects of reference choice in different bacterial species is still missing, particularly regarding its impact on phylogenies. This work intended to fill that gap. The impact of reference choice has proved to be pervasive in the five bacterial species that we have studied and, in some cases, alterations in phylogenetic trees could lead to incorrect epidemiological inferences. Hence, the use of different reference genomes may be prescriptive to assess the potential biases of mapping.

genomics↗