Lozano-Huntelman Natalie Ann, Singh Nina, Valencia Alondra, Mira Portia, Sakayan Maral, Boucher Ian, Tang Sharon, Brennan Kelley, Gianvecchio Crystal, Fitz-Gibbon Sorel, Yeh Pamela
Department of Ecology and Evolutionary Biology University of California Los Angeles CA USA.
Department of Molecular, Cell, Developmental Biology University of California Los Angeles CA USA.
Evol Appl. 2020 Feb 25;13(4):808-823. doi: 10.1111/eva.12903. eCollection 2020 Apr.
In bacteria, evolution of resistance to one antibiotic is frequently associated with increased resistance (cross-resistance) or increased susceptibility (collateral sensitivity) to other antibiotics. Cross-resistance and collateral sensitivity are typically evaluated at the minimum inhibitory concentration (MIC). However, these susceptibility changes are not well characterized with respect to the mutant prevention concentration (MPC), the antibiotic concentration that prevents a single-step mutation from occurring. We measured the MIC and the MPC for and 14 single-drug resistant strains against seven antibiotics. We found that the MIC and the MPC were positively correlated but that this correlation weakened if cross-resistance did not evolve. If any type of resistance did evolve, the range of concentrations between the MIC and the MPC tended to shift right and widen. Similar patterns of cross-resistance and collateral sensitivity were observed at the MIC and MPC levels, though more symmetry was observed at the MIC level. Whole-genome sequencing revealed mutations in both known-target and nontarget genes. Moving forward, examining both the MIC and the MPC may lead to better predictions of evolutionary trajectories in antibiotic-resistant bacteria.
在细菌中,对一种抗生素的耐药性进化通常与对其他抗生素的耐药性增加(交叉耐药性)或敏感性增加(协同敏感性)相关。交叉耐药性和协同敏感性通常在最低抑菌浓度(MIC)下进行评估。然而,就突变预防浓度(MPC)而言,即防止单步突变发生的抗生素浓度,这些敏感性变化并未得到很好的表征。我们测量了针对七种抗生素的[具体细菌名称未给出]和14个单药耐药菌株的MIC和MPC。我们发现MIC和MPC呈正相关,但如果没有进化出交叉耐药性,这种相关性就会减弱。如果确实进化出任何类型的耐药性,MIC和MPC之间的浓度范围往往会向右移动并变宽。在MIC和MPC水平上观察到了类似的交叉耐药性和协同敏感性模式,不过在MIC水平上观察到的对称性更强。全基因组测序揭示了已知靶点和非靶点基因中的突变。展望未来,同时检查MIC和MPC可能会更好地预测耐药细菌的进化轨迹。