TY - JOUR TI - The population genetics of collateral resistance and sensitivity AU - Ardell, Sarah M AU - Kryazhimskiy, Sergey A2 - Neher, Richard A A2 - Schuman, Meredith C A2 - Krug, Joachim VL - 10 PY - 2021 DA - 2021/12/10 SP - e73250 C1 - eLife 2021;10:e73250 DO - 10.7554/eLife.73250 UR - https://doi.org/10.7554/eLife.73250 AB - Resistance mutations against one drug can elicit collateral sensitivity against other drugs. Multi-drug treatments exploiting such trade-offs can help slow down the evolution of resistance. However, if mutations with diverse collateral effects are available, a treated population may evolve either collateral sensitivity or collateral resistance. How to design treatments robust to such uncertainty is unclear. We show that many resistance mutations in Escherichia coli against various antibiotics indeed have diverse collateral effects. We propose to characterize such diversity with a joint distribution of fitness effects (JDFE) and develop a theory for describing and predicting collateral evolution based on simple statistics of the JDFE. We show how to robustly rank drug pairs to minimize the risk of collateral resistance and how to estimate JDFEs. In addition to practical applications, these results have implications for our understanding of evolution in variable environments. KW - pleiotropy KW - trade-offs KW - joint distribution of fitness effects JF - eLife SN - 2050-084X PB - eLife Sciences Publications, Ltd ER -