Thinking outside the (pill) box: Does toxic metal exposure thwart antibiotic stewardship best practices?

Multi-antibiotic resistant (MAR) bacteria cost billions in medical care and tens of thousands of lives annually but perennial calls to limit agricultural and other misuse of antibiotics and to fund antibiotic discovery have not slowed this MAR deluge. Since mobile genetic elements (MGEs) stitch single antibiotic resistance genes into clinically significant MAR arrays, it is high time to focus on how MGEs generate MAR and how disabling them could ameliorate the MAR problem. However, to consider only antibiotics as the drivers of MAR is to miss the significant impact of exposure to non-antibiotic toxic chemicals, specifically metals, on the persistence and spread of MAR. Toxic metals were among the earliest discovered targets of plasmid-encoded resistance genes. Recent genomic epidemiology clearly demonstrated the co-prevalence of metal resistances and antibiotic multi-resistance, uniquely in humans and domestic animals. Metal resistances exploit the same, ancient "transportation infrastructure" of plasmids, transposons, and integrons that spread the antibiotic resistance genes and will continue to do so even if all antibiotic misuse were stopped today and new antibiotics were flowing from the pipeline monthly. In a key experiment with primates, continuous oral exposure to mercury (Hg) released from widely used dental amalgam fillings co-selected for MAR bacteria in the oral and fecal commensal microbiomes and, most importantly, when amalgams were replaced with non-metal fillings, MAR bacteria declined dramatically. Could that also be happening on the larger public health scale as use of amalgam restorations is curtailed or banned in many countries? This commentary covers salient past and recent findings of key metal-antibiotic resistance associations and proposes that the shift from phenotyping to genotyping in surveillance of resistance loci will allow a test of whether declining exposure to this leading source of Hg is accompanied by a decline in MAR compared to countries where amalgam is still used. If this hypothesis is correct, the limited success of antibiotic stewardship practices may be because MAR is also being driven by continuous, daily exposure to Hg, a non-antibiotic toxicant widely used in humans.

Large plasmids of Escherichia coli and Salmonella encode highly diverse arrays of accessory genes on common replicon families.

Plasmids are important in evolution and adaptation of host bacteria, yet we lack a comprehensive picture of their own natural variation. We used replicon typing and RFLP analysis to assess diversity and distribution of plasmids in the ECOR, SARA, SARB and SARC reference collections of Escherichia coli and Salmonella. Plasmids, especially large (≥30 kb) plasmids, are abundant in these collections. Host species and genotype clearly impact plasmid prevalence; plasmids are more abundant in ECOR than SAR, but, within ECOR, subgroup B2 strains have the fewest large plasmids. The majority of large plasmids have unique RFLP patterns, suggesting high variation, even within dominant replicon families IncF and IncI1. We found only four conserved plasmid types within ECOR, none of which are widely distributed. Within SAR, conserved plasmid types are primarily serovar-specific, including a pSLT-like plasmid in 13 Typhimurium strains. Conservation of pSLT contrasts with variability of other plasmids, suggesting evolution of serovar-specific virulence plasmids is distinct from that of most enterobacterial plasmids. We sequenced a conserved serovar Heidelberg plasmid but did not detect virulence or antibiotic resistance genes. Our data illustrate the high degree of natural variation in large plasmids of E. coli and Salmonella, even among plasmids sharing backbone genes.

Three Distinct Annotation Platforms Differ in Detection of Antimicrobial Resistance Genes in Long-Read, Short-Read, and Hybrid Sequences Derived from Total Genomic DNA or from Purified Plasmid DNA.

Recent advances and lower costs in rapid high-throughput sequencing have engendered hope that whole genome sequencing (WGS) might afford complete resistome characterization in bacterial isolates. WGS is particularly useful for the clinical characterization of fastidious and slow-growing bacteria. Despite its potential, several challenges should be addressed before adopting WGS to detect antimicrobial resistance (AMR) genes in the clinical laboratory. Here, with three distinct ESKAPE bacteria (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp.), different approaches were compared to identify best practices for detecting AMR genes, including: total genomic DNA and plasmid DNA extractions, the solo assembly of Illumina short-reads and of Oxford Nanopore Technologies (ONT) long-reads, two hybrid assembly pipelines, and three in silico AMR databases. We also determined the susceptibility of each strain to 21 antimicrobials. We found that all AMR genes detected in pure plasmid DNA were also detectable in total genomic DNA, indicating that, at least in these three enterobacterial genera, the purification of plasmid DNA was not necessary to detect plasmid-borne AMR genes. Illumina short-reads used with ONT long-reads in either hybrid or polished assemblies of total genomic DNA enhanced the sensitivity and accuracy of AMR gene detection. Phenotypic susceptibility closely corresponded with genotypes identified by sequencing; however, the three AMR databases differed significantly in distinguishing mobile dedicated AMR genes from non-mobile chromosomal housekeeping genes in which rare spontaneous resistance mutations might occur. This study indicates that each method employed in a WGS workflow has an impact on the detection of AMR genes. A combination of short- and long-reads, followed by at least three different AMR databases, should be used for the consistent detection of such genes. Further, an additional step for plasmid DNA purification and sequencing may not be necessary. This study reveals the need for standardized biochemical and informatic procedures and database resources for consistent, reliable AMR genotyping to take full advantage of WGS in order to expedite patient treatment and track AMR genes within the hospital and community.

Major families of multiresistant plasmids from geographically and epidemiologically diverse staphylococci.

Staphylococci are increasingly aggressive human pathogens suggesting that active evolution is spreading novel virulence and resistance phenotypes. Large staphylococcal plasmids commonly carry antibiotic resistances and virulence loci, but relatively few have been completely sequenced. We determined the plasmid content of 280 staphylococci isolated in diverse geographical regions from the 1940s to the 2000s and found that 79% of strains carried at least one large plasmid >20 kb and that 75% of these large plasmids were 20-30 kb. Using restriction fragment length polymorphism (RFLP) analysis, we grouped 43% of all large plasmids into three major families, showing remarkably conserved intercontinental spread of multiresistant staphylococcal plasmids over seven decades. In total, we sequenced 93 complete and 57 partial staphylococcal plasmids ranging in size from 1.3 kb to 64.9 kb, tripling the number of complete sequences for staphylococcal plasmids >20 kb in the NCBI RefSeq database. These plasmids typically carried multiple antimicrobial and metal resistances and virulence genes, transposases and recombinases. Remarkably, plasmids within each of the three main families were >98% identical, apart from insertions and deletions, despite being isolated from strains decades apart and on different continents. This suggests enormous selective pressure has optimized the content of certain plasmids despite their large size and complex organization.

Quantitative, longitudinal profiling of the primate fecal microbiota reveals idiosyncratic, dynamic communities.

We used slot blot hybridization, quantitative polymerase chain reaction (qPCR), and flow cytometry microarrays to quantify specific 16S rDNAs in weekly fecal specimens from four monkeys housed in a research vivarium for periods ranging from five to 8 months. Even in these uniformly housed and fed animals the gut microbiota is idiosyncratic, very dynamic on short timescales, and shows significant positive and negative correlations among some bacteria as well as responses to heavy metal exposure. The relative quantification (fmol targets per total fmol bacterial 16S rDNA) afforded by flow cytometry microarrays agreed well with the absolute quantification (nanogram of target DNA per nanogram of fecal DNA) afforded by slot blots and qPCR. We also noted strengths and weaknesses in inter-method comparisons for DNA-based quantification of these complex bacterial communities.