Day Troy, Huijben Silvie, Read Andrew F
Department of Mathematics and Statistics, Jeffery Hall, Queen's University, Kingston, ON K7L 3N6, Canada; Department of Biology, Queen's University, Kingston, ON K7L 3N6, Canada; The Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA.
ISGlobal, Barcelona Centre for International Health Research (CRESIB), Hospital Clínic, Universitat de Barcelona, Barcelona, Spain.
Trends Microbiol. 2015 Mar;23(3):126-33. doi: 10.1016/j.tim.2015.01.005. Epub 2015 Feb 11.
The emergence of drug-resistant pathogens is often considered a canonical case of evolution by natural selection. Here we argue that the strength of selection can be a poor predictor of the rate of resistance emergence. It is possible for a resistant strain to be under negative selection and still emerge in an infection or spread in a population. Measuring the right parameters is a necessary first step toward the development of evidence-based resistance-management strategies. We argue that it is the absolute fitness of the resistant strains that matters most and that a primary determinant of the absolute fitness of a resistant strain is the ecological context in which it finds itself.
耐药病原体的出现通常被认为是自然选择进化的典型案例。在此我们认为,选择强度可能并不能很好地预测耐药性出现的速率。耐药菌株有可能处于负选择之下,但仍会在感染中出现或在群体中传播。测量正确的参数是制定基于证据的耐药性管理策略的必要第一步。我们认为,耐药菌株的绝对适合度最为重要,而耐药菌株绝对适合度的一个主要决定因素是其所处的生态环境。