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为什么会有这么多的多倍体?在未减数配子形成中考虑环境随机性,可以降低多倍体建立的感知障碍。

Why so many polyploids? Accounting for environmental stochasticity in unreduced gamete formation lowers the perceived barriers to polyploid establishment.

机构信息

Department of Biology, University of New Mexico, Albuquerque, NM, United States.

Department of Mathematics & Statistics, University of New Mexico, Albuquerque, NM, United States.

出版信息

J Evol Biol. 2024 Mar 1;37(3):325-335. doi: 10.1093/jeb/voae016.

Abstract

While polyploids are common in nature, existing models suggest that polyploid establishment should be difficult and rare. We explore this apparent paradox by focussing on the role of unreduced gametes, as their union is the main route for the formation of neopolyploids. Production of such gametes is affected by genetic and environmental factors, resulting in variation in the formation rate of unreduced gametes (u). Once formed, neopolyploids face minority cytotype exclusion (MCE) due to a lack of viable mating opportunities. More than a dozen theoretical models have explored factors that could permit neopolyploids to overcome MCE and become established. Until now, however, none have explored variability in u and its consequences for the rate of polyploid establishment. Here, we determine the distribution that best fits the available empirical data on u. We perform a global sensitivity analysis exploring the consequences of using empirical distributions of u to investigate effects on polyploid establishment. We determined that in many cases, u is best fit by a log-normal distribution. We found environmental stochasticity in u dramatically impacts model predictions when compared to a static u. Our results help reconcile previous modelling results suggesting high barriers to the polyploid establishment with the observation that polyploids are common in nature.

摘要

虽然多倍体在自然界中很常见,但现有模型表明,多倍体的建立应该是困难且罕见的。我们通过关注未减数配子的作用来探讨这一明显的悖论,因为它们的结合是形成新多倍体的主要途径。这些配子的产生受到遗传和环境因素的影响,导致未减数配子形成率(u)的变化。一旦形成,新多倍体由于缺乏可行的交配机会而面临少数细胞型排斥(MCE)。已有十多个理论模型探讨了允许新多倍体克服 MCE 并建立的因素。然而,到目前为止,还没有模型探讨 u 的可变性及其对多倍体建立速度的影响。在这里,我们确定了最适合可用 u 经验数据的分布。我们进行了全局敏感性分析,探讨了使用 u 的经验分布来研究对多倍体建立的影响。我们确定,在许多情况下,u 最好用对数正态分布来拟合。与静态 u 相比,我们发现 u 中的环境随机性对模型预测有很大影响。我们的研究结果有助于调和先前的建模结果,这些结果表明多倍体的建立存在很高的障碍,同时也解释了为什么多倍体在自然界中很常见。

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