Institute for Biological Physics, University of Cologne, Köln, Germany.
Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland.
PLoS Comput Biol. 2022 Nov 21;18(11):e1010710. doi: 10.1371/journal.pcbi.1010710. eCollection 2022 Nov.
Understanding the benefits and costs of recombination under different scenarios of evolutionary adaptation remains an open problem for theoretical and experimental research. In this study, we focus on finite populations evolving on neutral networks comprising viable and unfit genotypes. We provide a comprehensive overview of the effects of recombination by jointly considering different measures of evolvability and mutational robustness over a broad parameter range, such that many evolutionary regimes are covered. We find that several of these measures vary non-monotonically with the rates of mutation and recombination. Moreover, the presence of unfit genotypes that introduce inhomogeneities in the network of viable states qualitatively alters the effects of recombination. We conclude that conflicting trends induced by recombination can be explained by an emerging trade-off between evolvability on the one hand, and mutational robustness on the other. Finally, we discuss how different implementations of the recombination scheme in theoretical models can affect the observed dependence on recombination rate through a coupling between recombination and genetic drift.
理解在不同进化适应情景下重组的收益和成本仍然是理论和实验研究的一个开放性问题。在这项研究中,我们专注于在由可行和不适基因型组成的中性网络上进化的有限种群。我们通过共同考虑广泛参数范围内的不同可进化性和突变稳健性度量,全面概述了重组的影响,从而涵盖了许多进化机制。我们发现,这些度量中的几个与突变和重组的速率呈非单调变化。此外,引入可行状态网络非均匀性的不适基因型的存在从根本上改变了重组的影响。我们的结论是,重组引起的冲突趋势可以通过在进化能力和突变稳健性之间出现的权衡来解释。最后,我们讨论了在理论模型中重组方案的不同实现方式如何通过重组和遗传漂变之间的耦合来影响对重组率的观测依赖性。