Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK.
Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FL, UK.
Genetics. 2021 Jun 24;218(2). doi: 10.1093/genetics/iyab055.
Balancing selection (BLS) is the evolutionary force that maintains high levels of genetic variability in many important genes. To further our understanding of its evolutionary significance, we analyze models with BLS acting on a biallelic locus: an equilibrium model with long-term BLS, a model with long-term BLS and recent changes in population size, and a model of recent BLS. Using phase-type theory, a mathematical tool for analyzing continuous time Markov chains with an absorbing state, we examine how BLS affects polymorphism patterns in linked neutral regions, as summarized by nucleotide diversity, the expected number of segregating sites, the site frequency spectrum, and the level of linkage disequilibrium (LD). Long-term BLS affects polymorphism patterns in a relatively small genomic neighborhood, and such selection targets are easier to detect when the equilibrium frequencies of the selected variants are close to 50%, or when there has been a population size reduction. For a new mutation subject to BLS, its initial increase in frequency in the population causes linked neutral regions to have reduced diversity, an excess of both high and low frequency derived variants, and elevated LD with the selected locus. These patterns are similar to those produced by selective sweeps, but the effects of recent BLS are weaker. Nonetheless, compared to selective sweeps, nonequilibrium polymorphism and LD patterns persist for a much longer period under recent BLS, which may increase the chance of detecting such selection targets. An R package for analyzing these models, among others (e.g., isolation with migration), is available.
平衡选择(BLS)是维持许多重要基因中高水平遗传变异性的进化力量。为了进一步了解其进化意义,我们分析了 BLS 作用于双等位基因座的模型:具有长期 BLS 的平衡模型、具有长期 BLS 和近期种群大小变化的模型以及近期 BLS 的模型。我们使用相型理论(一种用于分析具有吸收态的连续时间马尔可夫链的数学工具),研究了 BLS 如何影响连锁中性区域的多态性模式,这些模式由核苷酸多样性、预期的分离位点数量、位点频率谱和连锁不平衡(LD)水平来概括。长期 BLS 会影响相对较小的基因组邻域中的多态性模式,并且当选择变体的平衡频率接近 50%时,或者当种群大小减少时,更容易检测到这种选择目标。对于受到 BLS 影响的新突变,其在种群中的初始频率增加会导致连锁中性区域的多样性降低,高频率和低频率衍生变体的数量过多,并且与所选基因座的 LD 升高。这些模式与选择清扫产生的模式相似,但近期 BLS 的影响较弱。尽管如此,与选择性清扫相比,在近期 BLS 下,非平衡多态性和 LD 模式会持续更长时间,这可能会增加检测到这些选择目标的机会。一个用于分析这些模型(例如,带有迁移的隔离)的 R 包是可用的。