IncX4 Plasmid-Mediated mcr-1.1 in Polymyxin-Resistant Escherichia coli from Outpatients in Santa Catarina, Southern Brazil

Plasmid-mediated polymyxin resistance has become a global health concern, not only because its dissemination has occurred drastically but also because it has begun to be reported in multidrug-resistant (MDR) pathogens. We hereby report microbiological and genomic characteristics of two mcr-1.1-positive polymyxin-resistant Escherichia coli isolates identified for the first time in community patients, in Santa Catarina, Southern Brazil. E. coli strains belonging to ST206 and ST354 and the resistome analysis revealed the presence of clinically important genes responsible for MDR profile. Interestingly, in both polymyxin-resistant E. coli strains, mcr-1.1 genes were carried by IncX4 plasmids, responsible for the worldwide dissemination of mcr-type genes. In this regard, plasmid backbones were almost identical to the first IncX4 plasmid reported in Brazil and sharing more than 99.9% identity to IncX4 plasmids from China, also lacking the ISApl1 insertion sequence upstream of mcr-1. In conclusion, these data confirm the presence of international ST206 and ST354 carrying mcr-1.1 genes and that the IncX4 plasmids have been key vectors contributing to the endemic status of mcr-1.1-positive polymyxin-resistant E. coli in Brazil. Also, we described the first known clinical isolate with the mrc1.1 gene in Santa Catarina state, Brazil, showing that plasmid-mediated polymyxin resistance has been affecting humans earlier than has been known so far.

Exploring the Hospital Microbiome by High-Resolution 16S rRNA Profiling

The aim of this work was to analyze and compare the bacterial communities of 663 samples from a Brazilian hospital by using high-throughput sequencing of the 16S rRNA gene. To increase taxonomic profiling and specificity of 16S-based identification, a strict sequence quality filtering process was applied for the accurate identification of clinically relevant bacterial taxa. Our results indicate that the hospital environment is predominantly inhabited by closely related species. A massive dominance of a few taxa in all taxonomic levels down to the genera was observed, where the ten most abundant genera in each facility represented 64.4% of all observed taxa, with a major predominance of Acinetobacter and Pseudomonas. The presence of several nosocomial pathogens was revealed. Co-occurrence analysis indicated that the present hospital microbial network had low connectedness, forming a clustered topology, but not structured among groups of nodes (i.e., modules). Furthermore, we were able to detect ecologically relevant relationships between specific microbial taxa, in particular, potential competition between pathogens and non-pathogens. Overall, these results provide new insight into different aspects of a hospital microbiome and indicate that 16S rRNA sequencing may serve as a robust one-step tool for microbiological identification and characterization of a wide range of clinically relevant bacterial taxa in hospital settings with a high resolution.