Centro de Astrobiología (CSIC-INTA) Ctra de Ajalvir Km 4, Torrejón de Ardoz, Madrid, 28850, Spain.
BMC Evol Biol. 2013 Jan 16;13:11. doi: 10.1186/1471-2148-13-11.
When beneficial mutations present in different genomes spread simultaneously in an asexual population, their fixation can be delayed due to competition among them. This interference among mutations is mainly determined by the rate of beneficial mutations, which in turn depends on the population size, the total error rate, and the degree of adaptation of the population. RNA viruses, with their large population sizes and high error rates, are good candidates to present a great extent of interference. To test this hypothesis, in the current study we have investigated whether competition among beneficial mutations was responsible for the prolonged presence of polymorphisms in the mutant spectrum of an RNA virus, the bacteriophage Qβ, evolved during a large number of generations in the presence of the mutagenic nucleoside analogue 5-azacytidine.
The analysis of the mutant spectra of bacteriophage Qβ populations evolved at artificially increased error rate shows a large number of polymorphic mutations, some of them with demonstrated selective value. Polymorphisms distributed into several evolutionary lines that can compete among them, making it difficult the emergence of a defined consensus sequence. The presence of accompanying deleterious mutations, the high degree of recurrence of the polymorphic mutations, and the occurrence of epistatic interactions generate a highly complex interference dynamics.
Interference among beneficial mutations in bacteriophage Qβ evolved at increased error rate permits the coexistence of multiple adaptive pathways that can provide selective advantages by different molecular mechanisms. In this way, interference can be seen as a positive factor that allows the exploration of the different local maxima that exist in rugged fitness landscapes.
当有益突变同时在无性繁殖群体的不同基因组中出现时,由于它们之间的竞争,它们的固定可能会被延迟。这种突变之间的干扰主要取决于有益突变的速率,而有益突变的速率又取决于群体大小、总错误率以及群体的适应程度。具有大群体大小和高错误率的 RNA 病毒是表现出很大程度干扰的良好候选者。为了验证这一假说,在目前的研究中,我们调查了有益突变之间的竞争是否是导致 RNA 噬菌体 Qβ突变谱中多态性长期存在的原因,该噬菌体在存在诱变核苷类似物 5-氮杂胞苷的情况下经过大量代进化。
分析在人为增加错误率的条件下进化的噬菌体 Qβ群体的突变谱表明存在大量多态性突变,其中一些具有明显的选择价值。多态性分布在几个可以相互竞争的进化线上,这使得出现明确的共识序列变得困难。伴随的有害突变的存在、多态性突变的高度重现性以及上位性相互作用产生了高度复杂的干扰动态。
在增加错误率的条件下进化的噬菌体 Qβ中的有益突变之间的干扰允许多种适应性途径共存,这些途径可以通过不同的分子机制提供选择优势。这样,干扰可以被视为一种积极因素,允许探索在崎岖的适应度景观中存在的不同局部最大值。