Antibiotic Cycling Affects Resistance Evolution Independently of Collateral Sensitivity.

Antibiotic cycling has been proposed as a promising approach to slow down resistance evolution against currently employed antibiotics. It remains unclear, however, to which extent the decreased resistance evolution is the result of collateral sensitivity, an evolutionary trade-off where resistance to one antibiotic enhances the sensitivity to the second, or due to additional effects of the evolved genetic background, in which mutations accumulated during treatment with a first antibiotic alter the emergence and spread of resistance against a second antibiotic via other mechanisms. Also, the influence of antibiotic exposure patterns on the outcome of drug cycling is unknown. Here, we systematically assessed the effects of the evolved genetic background by focusing on the first switch between two antibiotics against Salmonella Typhimurium, with cefotaxime fixed as the first and a broad variety of other drugs as the second antibiotic. By normalizing the antibiotic concentrations to eliminate the effects of collateral sensitivity, we demonstrated a clear contribution of the evolved genetic background beyond collateral sensitivity, which either enhanced or reduced the adaptive potential depending on the specific drug combination. We further demonstrated that the gradient strength with which cefotaxime was applied affected both cefotaxime resistance evolution and adaptation to second antibiotics, an effect that was associated with higher levels of clonal interference and reduced cost of resistance in populations evolved under weaker cefotaxime gradients. Overall, our work highlights that drug cycling can affect resistance evolution independently of collateral sensitivity, in a manner that is contingent on the antibiotic exposure pattern.

IAMBEE: a web-service for the identification of adaptive pathways from parallel evolved clonal populations.

IAMBEE is a web server designed for the Identification of Adaptive Mutations in Bacterial Evolution Experiments (IAMBEE). Input data consist of genotype information obtained from independently evolved clonal populations or strains that show the same adapted behavior (phenotype). To distinguish adaptive from passenger mutations, IAMBEE searches for neighborhoods in an organism-specific interaction network that are recurrently mutated in the adapted populations. This search for recurrently mutated network neighborhoods, as proxies for pathways is driven by additional information on the functional impact of the observed genetic changes and their dynamics during adaptive evolution. In addition, the search explicitly accounts for the differences in mutation rate between the independently evolved populations. Using this approach, IAMBEE allows exploiting parallel evolution to identify adaptive pathways. The web-server is freely available at http://bioinformatics.intec.ugent.be/iambee/ with no login requirement.

Frequency analysis of the g.7081T>G/A and g.10872T>G polymorphisms in the FCGR3A gene (CD16A) using nested PCR and their functional specific effects.

Polymorphic variants p.66L>R/H (g.7081T>G/A; rs10127939) and p.176F>V (g.10872T>G; rs396991) in FCGR3A (CD16A) have been associated with defects in cytotoxic function of natural killer (NK) cells in humans. Genotyping of these variants in genomic DNA has been ambiguous because of high degree of homology between FCGR3A and FCGR3B. We designed a strategy to genotype these polymorphisms and to evaluate their effects on NK cells' cytotoxic activity. One hundred and fifteen individuals from different geographical regions of Colombia were included. Specific primers were designed to amplify FCGR3A exons 4 and 5 encompassing g.7081T>G/A and g.10872T>G by long-range and nested polymerase chain reaction and sequencing. The binding of different monoclonal antibodies to CD16A and NK antibody-dependent cellular cytotoxicity (ADCC) were evaluated. We demonstrate that amplifying and sequencing FCGR3A allows genotyping of g.7081T>G/A and g.10872T>G without interference from FCGR3B. Allele frequencies in our population were as follows: 7081T = 0.895, 7081G = 0.065, 7081 A = 0.039, 10872T = 0.673, and 10872G = 0.326. We also observed linkage disequilibrium between variants 7081T and 10872G. Interestingly, 176FF variant affected the reactivity of MEM154 monoclonal antibody against CD16A, but it did not affect ADCC. Our studies aimed to determine whether clinical association exists between these polymorphisms and NK cell function defects in patients with compatible phenotypes.