mSystems · 2021 · 25 citations · 53 references
Life SciencesGeneticsMicrobiologyAntimicrobial ResistanceMicrobial EvolutionMicrobial GeneticsAntibacterial ResistanceAntibiotic ResistanceAntibiotic Resistance EvolutionAntibiotic Resistance GeneticsAntibiotic Resistance MechanismsResistance EvolutionAntibiotic CombinationsCollateral SensitivityEscherichia ColiEvolutionary Dynamics Of ResistanceMutational Pathways Of ResistanceResistance Gene EvolutionResistance-suppressing MutationsTrade-offs In Resistance Evolution
When bacteria become resistant to an antibiotic, the genetic changes involved sometimes increase (cross-resistance) or decrease (collateral sensitivity) their resistance to other antibiotics. Antibiotic combinations showing repeatable collateral sensitivity could be used in treatment to slow resistance evolution. However, collateral sensitivity interactions may depend on the local environmental conditions that bacteria experience, potentially reducing repeatability and clinical application. Here, we show that variation in local conditions (pH, temperature, and bile salts) can influence collateral sensitivity in two ways: by favoring different sets of mutants during bacterial resistance evolution (with different collateral sensitivities to other antibiotics) and by modifying expression of collateral effects for individual mutants. This suggests that translation from the lab to the clinic of new approaches exploiting collateral sensitivity will be influenced by local abiotic conditions.
53
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al. · Journal of Statistical Software · 2015 · 85.6K citations · Full text
Trimmomatic: a flexible trimmer for Illumina sequence data
Anthony Bolger, Marc Lohse, Björn Usadel · Bioinformatics · 2014 · 69.7K citations · Full text
Conceptual issues in local adaptation
Tadeusz J. Kawecki, Dieter Ebert · Ecology Letters · 2004 · 3.8K citations
A new antibiotic kills pathogens without detectable resistance
Losee L. Ling, Tanja Schneider, Aaron J. Peoples et al. · Nature · 2015 · 2.4K citations · Full text