Priklopil Tadeas, Bomblies Kirsten, Widmer Alex
Institute of Molecular Plant Biology, ETH Zurich, Zürich, Switzerland; Institute of Integrative Biology, ETH Zurich, Zürich, Switzerland.
Institute of Molecular Plant Biology, ETH Zurich, Zürich, Switzerland.
J Theor Biol. 2025 Dec 7;615:112252. doi: 10.1016/j.jtbi.2025.112252. Epub 2025 Aug 24.
Proper protein folding is essential for biological function, and its disruption can lead to disease, reduced fitness, or death. The ability of a protein to maintain its folded conformation is thus critical for life, making it a key target of adaptive evolution. However, protein stability is sensitive to environmental factors, particularly temperature, which can threaten phenotypic integrity and organismal survival under thermal changes. Despite its importance, the influence of complex thermal environments - characterized here by mean temperature, thermal fluctuations, and environmental heterogeneity - on the evolution of protein stability remains poorly understood. To address this, we developed a mathematical framework that combines two well-established models: a population genetic model describing species distributed across habitats with distinct thermal environments, and a thermodynamic model of protein stability incorporating temperature-dependent enthalpy and entropy contributions. We focus on two-state proteins that alternate between folded and unfolded states and assume that allelic fitness is maximized in proteins that achieve an optimal balance between flexibility and rigidity. Using this framework, we performed an invasion analysis of mutations (sensu adaptive dynamics framework) affecting three thermodynamic parameters that fully determine protein stability profiles. Where possible, we derived analytical expressions for evolutionarily optimal thermodynamic parameters and complemented these with numerical solutions. Our results show that mean temperature and thermal fluctuations have orthogonal effects on thermodynamic parameters, underscoring the need to consider both when studying protein stability adaptation. We further examined thermally heterogeneous environments, where subpopulations connected by migration experience different mean temperatures, identifying conditions that favor either local (specialist) or global (generalist) adaptation. Our results may explain why one thermodynamic parameter shows little association with thermal adaptation and suggest that local adaptation is more likely for proteins with stability profiles limited to narrow temperature ranges. Additionally, our analysis reveals whether a locally adapted protein originated in a colder or warmer habitat. Finally, we identified trade-offs in thermodynamic parameters that influence local or global adaptation. This study offers key predictions about protein evolution in complex thermal environments and lays the groundwork for developing practical tools to understand how temperature shapes adaptation and biodiversity.
蛋白质的正确折叠对于生物学功能至关重要,其折叠过程的破坏会导致疾病、适应性降低或死亡。因此,蛋白质维持其折叠构象的能力对生命至关重要,使其成为适应性进化的关键目标。然而,蛋白质稳定性对环境因素敏感,尤其是温度,这可能会在热变化下威胁表型完整性和生物体生存。尽管其很重要,但复杂热环境(此处以平均温度、热波动和环境异质性为特征)对蛋白质稳定性进化的影响仍知之甚少。为了解决这个问题,我们开发了一个数学框架,该框架结合了两个成熟的模型:一个群体遗传模型,描述分布在具有不同热环境的栖息地中的物种;另一个是蛋白质稳定性的热力学模型,纳入了温度依赖性焓和熵的贡献。我们关注在折叠态和未折叠态之间交替的两态蛋白质,并假设等位基因适应性在实现灵活性和刚性之间最佳平衡的蛋白质中最大化。使用这个框架,我们对影响三个完全决定蛋白质稳定性概况的热力学参数的突变进行了入侵分析(在适应性动力学框架内)。在可能的情况下,我们推导了进化最优热力学参数的解析表达式,并用数值解对其进行补充。我们的结果表明,平均温度和热波动对热力学参数有正交效应,强调在研究蛋白质稳定性适应性时需要同时考虑这两个因素。我们进一步研究了热异质环境,其中通过迁移连接的亚群经历不同的平均温度,确定了有利于局部(专家型)或全局(通才型)适应的条件。我们的结果可能解释了为什么一个热力学参数与热适应性几乎没有关联,并表明对于稳定性概况限于狭窄温度范围的蛋白质,局部适应更有可能。此外,我们的分析揭示了一个局部适应的蛋白质是起源于较冷还是较暖的栖息地。最后,我们确定了影响局部或全局适应的热力学参数之间的权衡。这项研究提供了关于复杂热环境中蛋白质进化的关键预测,并为开发实用工具奠定了基础,以了解温度如何塑造适应性和生物多样性。