Palmer Michael E, Lipsitch Marc
Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA.
Genetics. 2006 May;173(1):461-72. doi: 10.1534/genetics.105.049445. Epub 2006 Feb 19.
The question of how natural selection affects asexual mutation rates has been considered since the 1930s, yet our understanding continues to deepen. The distribution of mutation rates observed in natural bacteria remains unexplained. It is well known that environmental constancy can favor minimal mutation rates. In contrast, environmental fluctuation (e.g., at period T) can create indirect selective pressure for stronger mutators: genes modifying mutation rate may "hitchhike" to greater frequency along with environmentally favored mutations they produce. This article extends a well-known model of Leigh to consider fitness genes with multiple mutable sites (call the number of such sites alpha). The phenotypic effect of such a gene is enabled if all sites are in a certain state and disabled otherwise. The effects of multiple deleterious loci are also included (call the number of such loci gamma). The analysis calculates the indirect selective effects experienced by a gene inducing various mutation rates for given values of alpha, gamma, and T. Finite-population simulations validate these results and let us examine the interaction of drift with hitchhiking selection. We close by commenting on the importance of other factors, such as spatiotemporal variation, and on the origin of variation in mutation rates.
自20世纪30年代以来,自然选择如何影响无性突变率的问题就一直受到关注,然而我们的理解仍在不断深入。在天然细菌中观察到的突变率分布仍无法得到解释。众所周知,环境稳定性可能有利于最低突变率。相比之下,环境波动(例如,周期为T)会对更强的突变体产生间接选择压力:修饰突变率的基因可能会随着它们产生的受环境青睐的突变一起“搭便车”到更高的频率。本文扩展了一个著名的利氏模型,以考虑具有多个可变位点的适应度基因(称此类位点的数量为α)。如果所有位点都处于某种状态,则此类基因的表型效应被激活,否则失效。还包括多个有害位点的影响(称此类位点的数量为γ)。该分析计算了对于给定的α、γ和T值,诱导各种突变率的基因所经历的间接选择效应。有限种群模拟验证了这些结果,并让我们研究了漂变与搭便车选择的相互作用。最后,我们评论了其他因素(如时空变化)的重要性以及突变率变化的起源。