%0 Journal Article %1 Schenk:2013:BMC-Biol:23433262 %A Schenk, M F %A de Visser, J A %D 2013 %J BMC Biol %K 13 Predict mrsa resistance %P 14-14 %R 10.1186/1741-7007-11-14 %T Predicting the evolution of antibiotic resistance %U http://www.ncbi.nlm.nih.gov/pubmed/23433262 %V 11 %X Mutations causing antibiotic resistance are often associated with a cost in the absence of antibiotics. Surprisingly, a new study found that bacteria adapting to increased temperature became resistant to rifampicin. By studying the consequences of the involved mutations in different conditions and genetic backgrounds, the authors illustrate how knowledge of two fundamental genetic properties, pleiotropy and epistasis, may help to predict the evolution of antibiotic resistance.

@article{Schenk:2013:BMC-Biol:23433262, abstract = {Mutations causing antibiotic resistance are often associated with a cost in the absence of antibiotics. Surprisingly, a new study found that bacteria adapting to increased temperature became resistant to rifampicin. By studying the consequences of the involved mutations in different conditions and genetic backgrounds, the authors illustrate how knowledge of two fundamental genetic properties, pleiotropy and epistasis, may help to predict the evolution of antibiotic resistance.}, added-at = {2013-04-20T21:22:04.000+0200}, author = {Schenk, M F and de Visser, J A}, biburl = {https://www.bibsonomy.org/bibtex/20612051ca3e5c03d129c414206ba7738/ramsesmg1992}, description = {Predicting the evolution of antibiotic resistance. [BMC Biol. 2013] - PubMed - NCBI}, doi = {10.1186/1741-7007-11-14}, interhash = {96c58a07c61424e533c292a82d6868e0}, intrahash = {0612051ca3e5c03d129c414206ba7738}, journal = {BMC Biol}, keywords = {13 Predict mrsa resistance}, pages = {14-14}, pmid = {23433262}, timestamp = {2013-04-26T10:16:50.000+0200}, title = {Predicting the evolution of antibiotic resistance}, url = {http://www.ncbi.nlm.nih.gov/pubmed/23433262}, volume = 11, year = 2013 }