Characterization of Ciprofloxacin Resistance in Laboratory-Derived Mutants of Vibrio parahaemolyticus with qnr Gene

Genotypic resistance determined by whole genome sequencing versus phenotypic resistance in 234 Escherichia coli isolates

Whole genome sequencing (WGS) enables detailed characterization of bacteria at single nucleotide resolution. It provides data about acquired resistance genes and mutations leading to resistance. Although WGS is becoming an essential tool to predict resistance patterns accurately, comparing genotype to phenotype with WGS is still in its infancy. Additional data and validation are needed. In this retrospective study, we analysed 234 E. coli isolates from positive blood cultures using WGS as well as microdilution for 11 clinically relevant antibiotics, to compare the two techniques. We performed whole genome sequencing analyses on 234 blood culture isolates (genotype) to detect acquired antibiotic resistance. Minimal inhibitory concentrations (MIC) for E. coli were performed for amoxicillin, cefepime, cefotaxime, ceftazidime, meropenem, amoxicillin/clavulanic acid, piperacillin/tazobactam, amikacin, gentamicin, tobramycin, and ciprofloxacin, using the ISO 20776-1 standard broth microdilution method as recommended by EUCAST (phenotype). We then compared the two methods for statistical 'agreement'. A perfect (100%) categorical agreement between genotype and phenotype was observed for gentamicin and meropenem. However, no resistance to meropenem was observed. A high categorical agreement (> 95%) was observed for amoxicillin, cefepime, cefotaxime, ceftazidime, amikacin, and tobramycin. A categorical agreement lower than 95% was observed for amoxicillin/clavulanic acid, piperacillin/tazobactam, and ciprofloxacin. Most discrepancies occurred in isolates with MICs within ± 1 doubling dilution of the breakpoint and 22.73% of the major errors were samples that tested phenotypically susceptible at higher antibiotic exposure and were therefore considered as 'not resistant'. This study shows that WGS can be used as a valuable tool to predict phenotypic resistance against most of the clinically relevant antibiotics used for the treatment of E. coli bloodstream infections.

Genomic Characterization of Ciprofloxacin Resistance in Laboratory-Derived Mutants of Vibrio parahaemolyticus

The quinolone ciprofloxacin is a broad-spectrum bactericidal antibiotic used for human medicine as well as the aquaculture industry. The emergence of ciprofloxacin-resistant Vibrio parahaemolyticus strains is currently a global public health concern. However, the mechanism of ciprofloxacin resistance in V. parahaemolyticus is not yet fully clarified. We generated mutants with decreased ciprofloxacin susceptibility using in vitro selection and investigated genes associated with ciprofloxacin resistance on a genetic level. Our selection process yielded mutants that possessed altered minimal inhibitory concentrations (MICs) for ciprofloxacin and other unrelated antibiotics. These included Ser83Ile mutations in GyrA and Val461Glu in ParE as well as mutations in the resistance nodulation cell division (RND) family transporter gene vmeD and the putative TetR family regulator gene vp0040 upstream of the vmeCD operon. Measurements of steady-state mRNA levels revealed that the ciprofloxacin-resistant mutants overexpressed vmeCD. Further, the introduction of the vp0040 mutated allele from H512 into the sensitive parental strain increased the MIC for ciprofloxacin 31.25-fold. Taken together, these results indicated that ciprofloxacin resistance in these mutants was due to the quinolone resistance determining region mutation as well as overexpression of vmeCD caused by a loss of vp0040 gene repression. This also accounted for the presence of the multidrug resistance phenotype for these mutant strains since RND efflux system can export structurally unrelated antibiotics.

High-throughput screening of cell-free riboswitches by fluorescence-activated droplet sorting

Cell-free systems that display complex functions without using living cells are emerging as new platforms to test our understanding of biological systems as well as for practical applications such as biosensors and biomanufacturing. Those that use cell-free protein synthesis (CFPS) systems to enable genetically programmed protein synthesis have relied on genetic regulatory components found or engineered in living cells. However, biological constraints such as cell permeability, metabolic stability, and toxicity of signaling molecules prevent development of cell-free devices using living cells even if cell-free systems are not subject to such constraints. Efforts to engineer regulatory components directly in CFPS systems thus far have been based on low-throughput experimental approaches, limiting the availability of basic components to build cell-free systems with diverse functions. Here, we report a high-throughput screening method to engineer cell-free riboswitches that respond to small molecules. Droplet-sorting of riboswitch variants in a CFPS system rapidly identified cell-free riboswitches that respond to compounds that are not amenable to bacterial screening methods. Finally, we used a histamine riboswitch to demonstrate chemical communication between cell-sized droplets.

Characteristics of Antimicrobial-Resistant Vibrio parahaemolyticus Strains and Identification of Related Antimicrobial Resistance Gene Mutations

Multidrug-resistant (MDR) Vibrio parahaemolyticus strains have become a great threat to public health. The purpose of this study was to investigate differences in biological characteristics and antimicrobial resistance gene (ARG) mutations of V. parahaemolyticus that displayed different levels of antimicrobial resistance. The susceptibility of 74 V. parahaemolyticus strains to 9 common antimicrobials was investigated, of which 88% were resistant to 3-4 antimicrobials and 3% to 5-7 antimicrobials. Interestingly, only 9% were resistant to 1-2 antimicrobials. The MDR strains possessed longer growth lag time than the non-MDR strains and displayed weaker swimming abilities. Whole genome sequencing was performed on strains VP41, VP44, 460, and 469 that were resistant to two to three classes of antimicrobials. ARGs were identified and compared with that of reference strain ATCC17802, and some important mutations were deduced. The Val189Ile mutation emerged in qnr gene of a single strain. Besides, the nonsynonymous mutations existed in four ARGs in different strains, including CatB (Pro165Ser, Gly208Asp), VmeA (Ile313Thr), VmeC (Glu329Ala), and VmeD (Asn205Ser). These results linked resistance gene mutations to enhance resistance in V. parahaemolyticus strains and provide a reference for more effective monitoring and prevention of V. parahaemolyticus infections.