Link between the Birth-Death process and the Kingman Coalescent - Applications to Phylogenetic Epidemiology.

IF 6.1 1区 生物学 Q1 EVOLUTIONARY BIOLOGY
Josselin Cornuault, Fabio Pardi, Celine Scornavacca
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引用次数: 0

Abstract

The two most popular tree models used in phylogenetics are the birth-death process (BD) and the Kingman coalescent (KC). These two models differ in several respects, notably: (i) the curve of the population size through time is a stochastic process in the BD, versus a parametrized curve in the KC, (ii) the BD makes assumptions about the way samples are collected, while the KC conditions on the number of samples and the collection times, thus bypassing the need to describe the sampling procedure. These two models have been applied to different contexts: the BD in macroevolutionary studies of clades of species, and the KC for populations. The exception is the field of phylogenetic epidemiology which uses both models. This then asks the question of how such different models can be used in the same context. In this paper, we study large-population limits of the BD, in a search for a mathematical link between the BD and the KC. We show that the KC is the large-population limit of a BD conditioned on a given population trajectory, and we provide the formula for the parameter θ of the limiting KC. This formula appears in earlier studies, but the present article is the first to show formally how the correspondence arises as a large-population limit, and that the BD needs to be conditioned for the KC to arise. Besides these fundamentally mathematical results, we demonstrate how our findings can be used practically in phylogenetic inference. In particular, we propose a new method for phylogenetic epidemiology, called CalicoBird, ensuing from our results. We conjecture that this new method, used in conjunction with auxiliary data (e.g. prevalence or incidence data), should allow estimating important epidemiological parameters (e.g. the prevalence and the effective reproduction number), in a way that is robust to the data-generating model and the sampling procedure. Future studies will be needed to put our claims to the test.

生-死过程与金曼凝聚之间的联系——在系统发育流行病学中的应用。
在系统发育学中使用的两种最流行的树模型是出生-死亡过程(BD)和金曼聚结(KC)。这两个模型在几个方面有所不同,值得注意的是:(i)总体规模随时间的曲线在BD中是一个随机过程,而在KC中是一个参数化曲线,(ii) BD对样本的收集方式进行假设,而KC则对样本数量和收集时间进行限制,因此无需描述采样过程。这两种模型已被应用于不同的环境:BD用于物种枝的宏观进化研究,KC用于种群研究。唯一的例外是系统发育流行病学领域,它使用了这两种模型。这就提出了这样一个问题,即如何在相同的上下文中使用这些不同的模型。在本文中,我们研究BD的庞大的人口限制,在寻找一个数学BD和KC。我们之间的联系表明,KC的庞大的人口限制人口BD条件在给定轨迹,和我们提供的公式参数θ的限制KC。这个公式出现在早期的研究,但是本文首次显示正式信件时如何作为一个庞大的人口限制,BD需要为KC的出现提供条件。除了这些基本的数学结果外,我们还展示了我们的发现如何在系统发育推断中实际使用。特别地,根据我们的研究结果,我们提出了一种新的系统发育流行病学方法calicbird。我们推测,这种新方法与辅助数据(如患病率或发病率数据)结合使用,应该能够以一种对数据生成模型和抽样程序具有鲁棒性的方式估计重要的流行病学参数(如患病率和有效繁殖数)。还需要进一步的研究来验证我们的说法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Systematic Biology
Systematic Biology 生物-进化生物学
CiteScore
13.00
自引率
7.70%
发文量
70
审稿时长
6-12 weeks
期刊介绍: Systematic Biology is the bimonthly journal of the Society of Systematic Biologists. Papers for the journal are original contributions to the theory, principles, and methods of systematics as well as phylogeny, evolution, morphology, biogeography, paleontology, genetics, and the classification of all living things. A Points of View section offers a forum for discussion, while book reviews and announcements of general interest are also featured.
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