TU Berlin, Straße des 17. Juni 136, 10623, Berlin, Germany.
Theor Popul Biol. 2021 Jun;139:18-49. doi: 10.1016/j.tpb.2021.05.001. Epub 2021 May 10.
In this paper we investigate the interplay between two fundamental mechanisms of microbial population dynamics and evolution, namely dormancy and horizontal gene transfer. The corresponding traits come in many guises and are ubiquitous in microbial communities, affecting their dynamics in important ways. Recently, they have each moved (separately) into the focus of stochastic individual-based modelling (Billiard et al. 2016, 2018; Champagnat, Méléard and Tran, 2021; Blath and Tóbiás 2020). Here, we investigate their combined effects in a unified model. Indeed, we consider the (idealized) scenario of two sub-populations, respectively carrying 'trait 1' and 'trait 2', where trait 1 individuals are able to switch (under competitive pressure) into a dormant state, and trait 2 individuals are able to execute horizontal gene transfer, which in our case means that they can turn trait 1 individuals into trait 2 ones, at a rate depending on the density of individuals. In the large-population limit, we examine the fate of (i) a single trait 2 individual (called 'mutant') arriving in a trait 1 resident population living in equilibrium, and (ii) a trait 1 individual ('mutant') arriving in a trait 2 resident population. We analyse the invasion dynamics in all cases where the resident population is individually fit and the behaviour of the mutant population is initially non-critical. This leads to the identification of parameter regimes for the invasion and fixation of the new trait, stable coexistence of the two traits, and 'founder control' (where the initial resident always dominates, irrespective of its trait). One of our key findings is that horizontal transfer can lead to stable coexistence even if trait 2 is unfit on its own. In the case of founder control, the limiting dynamical system also exhibits a coexistence equilibrium, which, however, is unstable, and with overwhelming probability none of the mutant sub-populations is able to invade. In all cases, we observe the classical (up to three) phases of invasion dynamics à la Champagnat (2006).
在本文中,我们研究了微生物种群动态和进化的两个基本机制——休眠和水平基因转移之间的相互作用。相应的特征有多种形式,在微生物群落中普遍存在,以重要的方式影响它们的动态。最近,它们各自(分别)成为了随机个体基础建模的焦点(Billiard 等人,2016 年,2018 年;Champagnat、Méléard 和 Tran,2021 年;Blath 和 Tóbiás,2020 年)。在这里,我们在一个统一的模型中研究它们的综合影响。实际上,我们考虑了两个亚群的(理想化)情况,分别携带“特征 1”和“特征 2”,其中特征 1 个体能够在竞争压力下切换到休眠状态,而特征 2 个体能够执行水平基因转移,在我们的情况下,这意味着它们可以将特征 1 个体转变为特征 2 个体,其转变率取决于个体密度。在大群体极限下,我们研究了(i)单个特征 2 个体(称为“突变体”)进入处于平衡状态的特征 1 驻留种群的命运,以及(ii)特征 1 个体(“突变体”)进入特征 2 驻留种群的命运。在驻留种群个体适应性良好且突变种群行为最初不关键的所有情况下,我们分析了入侵动力学。这导致了新特征的入侵和固定的参数范围、两种特征的稳定共存以及“创始者控制”(其中初始驻留种群始终占主导地位,与其特征无关)的确定。我们的一个关键发现是,即使特征 2 本身不适应,水平转移也可以导致稳定共存。在创始者控制的情况下,极限动力系统也表现出一个共存平衡,但该平衡是不稳定的,而且突变子种群几乎没有机会进行入侵。在所有情况下,我们都观察到了 Champagnat(2006 年)的经典(最多三个)入侵动力学阶段。