Institut Pasteur, Genomes and Genetics Department, Unit Physics of Biological Systems, Centre National de la Recherche Scientifique Unité de Recherche Associée 2171, F-75015 Paris, France.
Proc Natl Acad Sci U S A. 2010 Jan 26;107(4):1391-6. doi: 10.1073/pnas.0909673107. Epub 2010 Jan 4.
Regular environmental conditions allow for the evolution of specifically adapted responses, whereas complex environments usually lead to conflicting requirements upon the organism's response. A relevant instance of these issues is bacterial chemotaxis, where the evolutionary and functional reasons for the experimentally observed response to chemoattractants remain a riddle. Sensing and motility requirements are in fact optimized by different responses, which strongly depend on the chemoattractant environmental profiles. It is not clear then how those conflicting requirements quantitatively combine and compromise in shaping the chemotaxis response. Here we show that the experimental bacterial response corresponds to the maximin strategy that ensures the highest minimum uptake of chemoattractants for any profile of concentration. We show that the maximin response is the unique one that always outcompetes motile but nonchemotactic bacteria. The maximin strategy is adapted to the variable environments experienced by bacteria, and we explicitly show its emergence in simulations of bacterial populations in a chemostat. Finally, we recast the contrast of evolution in regular vs. complex environments in terms of minimax vs. maximin game-theoretical strategies. Our results are generally relevant to biological optimization principles and provide a systematic possibility to get around the need to know precisely the statistics of environmental fluctuations.
常规环境条件允许特定适应性反应的进化,而复杂环境通常会对生物体的反应产生冲突的要求。这些问题的一个相关实例是细菌趋化性,实验观察到的对趋化剂的反应的进化和功能原因仍然是一个谜。实际上,感应和运动性要求是通过不同的反应来优化的,这些反应强烈依赖于趋化剂的环境分布。那么,这些相互冲突的要求如何在塑造趋化性反应时定量地结合和妥协,就不清楚了。在这里,我们表明实验细菌的反应对应于最大最小策略,该策略确保了在任何浓度分布的情况下对趋化剂的最高最小摄取。我们表明,最大最小反应是唯一一种总是胜过游动但非趋化性细菌的反应。最大最小策略适应于细菌所经历的变化环境,我们在恒化器中模拟细菌种群时明确显示了它的出现。最后,我们根据最小最大博弈论策略,重新表述了常规环境与复杂环境中的进化对比。我们的结果通常与生物优化原则有关,并为避免精确了解环境波动统计数据提供了一种系统的可能性。