Matheson Joseph, Exposito-Alonso Moises, Masel Joanna
Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA.
Department of Ecology, Behavior, and Evolution, University of California San Diego, San Diego, CA 92093, USA.
Genetics. 2025 Apr 17;229(4). doi: 10.1093/genetics/iyaf011.
Haldane's Dilemma refers to the concern that the need for many "selective deaths" to complete a substitution (i.e. selective sweep) creates a speed limit to adaptation. However, discussion of this concern has been marked by confusion, especially with respect to the term "substitution load". Here, we distinguish different historical lines of reasoning, and identify one, focused on finite reproductive excess and the proportion of deaths that are "selective" (i.e. causally contribute to adaptive allele frequency changes), that has not yet been fully addressed. We develop this into a more general theoretical model that can apply to populations with any life history, even those for which a generation or even an individual are not well defined. The actual speed of adaptive evolution is coupled to the proportion of deaths that are selective. The degree to which reproductive excess enables a high proportion of selective deaths depends on the details of when selection takes place relative to density regulation, and there is therefore no general expression for a speed limit. To make these concepts concrete, we estimate both reproductive excess, and the proportion of deaths that are selective, from a dataset measuring survival of 517 different genotypes of Arabidopsis thaliana grown in 8 different environmental conditions. In this dataset, a much higher proportion of deaths contribute to adaptation, in all environmental conditions, than the 10% cap that was anticipated as substantially restricting adaptation during historical discussions of speed limits.
完成一次替代(即选择性清除)需要许多“选择性死亡”,这对适应过程造成了速度限制。然而,对这一担忧的讨论一直存在混乱,尤其是在“替代负荷”这一术语方面。在这里,我们区分了不同的历史推理思路,并确定了其中一条尚未得到充分探讨的思路,它关注的是有限的繁殖过剩以及“选择性”死亡(即对适应性等位基因频率变化有因果贡献)的比例。我们将其发展成一个更通用的理论模型,该模型可应用于任何具有生命史的种群,甚至那些代或个体定义不明确的种群。适应性进化的实际速度与选择性死亡的比例相关联。繁殖过剩能够实现高比例选择性死亡的程度取决于选择相对于密度调节发生的时间细节,因此不存在速度限制的通用表达式。为了使这些概念更具体,我们从一个测量了在8种不同环境条件下生长的517种不同拟南芥基因型存活率的数据集,估算了繁殖过剩以及选择性死亡的比例。在这个数据集中,在所有环境条件下,对适应有贡献的死亡比例都比在关于速度限制的历史讨论中预期的大幅限制适应的10%上限要高得多。