Porter Adam H, Johnson Norman A, Tulchinsky Alexander Y
Department of Biology, University of Massachusetts, Amherst, MA 01002, USA.
Department of Biology, University of Massachusetts, Amherst, MA 01002, USA.
J Theor Biol. 2025 Nov 7;614:112233. doi: 10.1016/j.jtbi.2025.112233. Epub 2025 Jul 30.
Although the regulation of gene expression is a fundamental link between genotype, phenotype, and fitness, little is known about how natural selection drives its evolution. To address this gap, we used a biophysical (thermodynamic) model of molecular interactions between allelic variants of transcription factors (TFs) and their cis-regulatory binding sites. We generated diploid genotype-phenotype maps for gene expression. We then applied a Gaussian fitness function to these maps, where the environment determines optimal expression level. The corresponding genotype-fitness landscapes are characterized by high ridges of heterozygote superiority. Heterozygote advantage occurs whenever the environmentally determined phenotypic optimum lies between the phenotypes of the two homozygotes. To determine whether this superiority could lead to stable polymorphism, for each of 201 optimal expression levels we determined frequency-fitness landscapes (allele frequency vs. fitness) for all allelic combinations; maximized their population mean fitnesses; identified combinations with globally maximal mean fitness; and found their equilibrium allele frequencies. Globally stable polymorphisms occurred whenever the phenotypic optimum laid between the phenotypes of the best two homozygotes. Stable polymorphisms occupied 49-75% of the range of optimal expression levels, depending on biophysical and fitness parameters. Virtually all included TF polymorphism, with binding site co-polymorphisms across 33-55% of the range. Neutral polymorphisms were also widely distributed. Neither molecular complexity of the TF-cis interaction nor pleiotropic constraint had qualitative effects on polymorphism. However, genetic load was negatively correlated with molecular complexity, suggesting that reducing genetic load may be an important mechanism for increasing the complexity of regulatory genetic interactions. While this analysis assumes environmental homogeneity, the results suggest that this phenomenon may enhance the role of environmental heterogeneity in maintaining regulatory polymorphism. Selection favors the maintenance of polymorphism not just because different homozygotes have higher fitness in different environments, but also because heterozygote advantage can act as a 'storage effect' by promoting regulatory polymorphism during the transitions between environmental states. We use the model to make predictions about future evolutionary trajectories in a well-documented case of regulatory heterozygote advantage involving flower color in an Alpine orchid. More empirical research on the extent and maintenance of regulatory polymorphism within populations is needed.
尽管基因表达调控是基因型、表型和适应性之间的基本联系,但对于自然选择如何驱动其进化却知之甚少。为了填补这一空白,我们使用了转录因子(TFs)等位基因变体与其顺式调控结合位点之间分子相互作用的生物物理(热力学)模型。我们生成了基因表达的二倍体基因型-表型图谱。然后,我们将高斯适应度函数应用于这些图谱,其中环境决定最佳表达水平。相应的基因型-适应度景观以杂合子优势的高脊为特征。只要环境决定的表型最优值位于两个纯合子的表型之间,就会出现杂合子优势。为了确定这种优势是否会导致稳定的多态性,对于201个最佳表达水平中的每一个,我们确定了所有等位基因组合的频率-适应度景观(等位基因频率与适应度);最大化它们的群体平均适应度;识别具有全局最大平均适应度的组合;并找到它们的平衡等位基因频率。只要表型最优值位于最佳两个纯合子的表型之间,就会出现全局稳定的多态性。稳定的多态性占最佳表达水平范围的49-75%,这取决于生物物理和适应度参数。几乎所有情况都包括TF多态性,结合位点共多态性占范围的33-55%。中性多态性也广泛分布。TF-顺式相互作用的分子复杂性和多效性约束对多态性都没有定性影响。然而,遗传负荷与分子复杂性呈负相关,这表明降低遗传负荷可能是增加调控基因相互作用复杂性的重要机制。虽然该分析假设环境均匀性,但结果表明这种现象可能会增强环境异质性在维持调控多态性中的作用。选择有利于维持多态性,不仅是因为不同的纯合子在不同环境中具有更高的适应性,还因为杂合子优势可以通过在环境状态转变期间促进调控多态性而起到“储存效应”。我们使用该模型对一个有充分记录的涉及高山兰花花色的调控杂合子优势案例中的未来进化轨迹进行预测。需要对种群内调控多态性的程度和维持进行更多的实证研究。