OncoSimulR: genetic simulation of cancer progression with arbitrary epistasis and mutator genes

OncoSimulR implements forward-in-time genetic simulations of diallelic loci in asexual populations with special focus on cancer progression. Fitness can be defined as an arbitrary function of genetic interactions between multiple genes or modules of genes, including epistasis, restrictions in the order of accumulation of mutations, and order effects. Mutation rates can be made to differ between genes, and can be affected by (anti)mutator genes. Also available are sampling from single or multiple simulations, including single-cell sampling, plotting the parent-child relationships of the clones and generating and plotting random fitness landscapes.Availability and implementationImplemented in R and C++, freely available from BioConductor for Linux, Mac, and Windows under the GNU GPL license. Version 2.3.12 or higher available from: http://www.bioconductor.org/packages/devel/bioc/html/OncoSimulR.html. GitHub repository at: https://github.com/rdiaz02/OncoSimul.

Genetic adaptation of Pseudomonas aeruginosa during chronic lung infection of patients with cystic fibrosis: strong and weak mutators with heterogeneous genetic backgrounds emerge in mucA and/or lasR mutants

During the chronic lung infection of patients with cystic fibrosis (CF), Pseudomonas aeruginosa can survive for long periods due to adaptive evolution mediated by genetic variation. Hypermutability is considered to play an important role in this adaptive evolution and it has been demonstrated that mutator populations are amplified in the CF lung by hitchhiking with adaptive mutations. Two of the genes that are frequently mutated in isolates from chronic infection are mucA and lasR. Loss-of-function mutations in these genes determine the phenotypic switch to mucoidy and loss of quorum sensing, which are considered hallmarks of chronic virulence. The aims of our study were to investigate (1) the genetic background of the P. aeruginosa subpopulations with non-mutator, weak or strong mutator phenotype and their dynamics during the chronic lung infection, and (2) the time sequence in which the hypermutable, mucoid and quorum-sensing-negative phenotypes emerge during chronic lung infection. For these purposes the sequences of mutS, mutL, uvrD, mutT, mutY and mutM anti-mutator genes as well as of mucA and lasR were analysed in 70 sequential P. aeruginosa isolates obtained from the respiratory secretions of 10 CF patients (one to three isolates per time point). Analysis of the genetic background of the mutator phenotype showed that mutS was the most commonly affected gene followed by mutL in isolates with strong mutator phenotype. The mutT, mutY, mutM genes were affected in isolates with low fold-changes in the mutation frequencies compared to the reference strain PAO1. Isolates with non-mutator, weak or strong mutator phenotype were represented at all time points showing co-existence of these subpopulations, which suggests parallel evolution of the various mutators in the different focal niches of infection in the CF lung. Mutations in mucA and lasR occurred earlier than mutations in the anti-mutator genes, showing that hypermutability is not a prerequisite for the acquisition of mucoidy and loss of quorum sensing, considered hallmarks of chronic virulence. Significantly higher mutation rates and MICs of ceftazidime, meropenem and ciprofloxacin were found for isolates collected late (more than 10 years) during the chronic lung infection compared to isolates collected earlier, which suggests an amplification of the mutator subpopulation by hitchhiking with development of antibiotic resistance. Similar evolutionary pathways concordant with adaptive radiation were observed in different clonal lineages of P. aeruginosa from CF patients.

Mutator Genes Giving Rise to Decreased Antibiotic Susceptibility in Pseudomonas aeruginosa

ABSTRACT Screening of the PA14 genomic transposon mutant library for resistance to ceftazidime, tobramycin, and ciprofloxacin led to the discovery of several mutants that appeared in more than one screen. Testing of the frequency of mutation to ciprofloxacin resistance revealed previously known mutator genes, including mutS and mutL, as well as mutators that have not yet been described for P. aeruginosa, including PA3958 and RadA (PA4609).