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The fossilized birth-death model for the analysis of stratigraphic range data under different speciation modes

机译:化石生死模型用于分析不同形态模式下的地层范围数据

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摘要

A birth-death-sampling model gives rise to phylogenetic trees with samples from the past and the present. Interpreting “birth” as branching speciation, “death” as extinction, and “sampling” as fossil preservation and recovery, this model – also referred to as the fossilized birth-death (FBD) model – gives rise to phylogenetic trees on extant and fossil samples. The model has been mathematically analyzed and successfully applied to a range of datasets on different taxonomic levels, such as penguins, plants, and insects. However, the current mathematical treatment of this model does not allow for a group of temporally distinct fossil specimens to be assigned to the same species.In this paper, we provide a general mathematical FBD modeling framework that explicitly takes “stratigraphic ranges” into account, with a stratigraphic range being defined as the lineage interval associated with a single species, ranging through time from the first to the last fossil appearance of the species. To assign a sequence of fossil samples in the phylogenetic tree to the same species, i.e., to specify a stratigraphic range, we need to define the mode of speciation. We provide expressions to account for three common speciation modes: budding (or asymmetric) speciation, bifurcating (or symmetric) speciation, and anagenetic speciation.Our equations allow for flexible joint Bayesian analysis of paleontological and neontological data. Furthermore, our framework is directly applicable to epidemiology, where a stratigraphic range is the observed duration of infection of a single patient, “birth” via budding is transmission, “death” is recovery, and “sampling” is sequencing the pathogen of a patient. Thus, we present a model that allows for incorporation of multiple observations through time from a single patient.
机译:出生死亡采样模型产生了带有过去和现在样本的系统发育树。将“出生”解释为分支物种,将“死亡”解释为灭绝,将“采样”解释为化石的保存和恢复,该模型(也称为化石出生死亡(FBD)模型)在现存和化石上形成了系统树。样品。该模型已经过数学分析,已成功应用于不同分类级别的一系列数据集,例如企鹅,植物和昆虫。但是,当前对该模型的数学处理不允许将一组在时间上不同的化石标本分配给同一物种。在本文中,我们提供了一个通用的数学FBD建模框架,该框架明确考虑了“地层范围”,地层范围定义为与单个物种相关的沿袭区间,范围从该物种的第一个到最后一个化石出现。为了将系统发育树中的化石样品序列分配给同一物种,即指定地层范围,我们需要定义物种形成模式。我们提供表达式以说明三种常见的物种形成模式:萌芽(或不对称)物种形成,分叉(或对称)物种形成和类位物种形成。我们的方程式允许对古生物学和新生物学数据进行灵活的联合贝叶斯分析。此外,我们的框架直接适用于流行病学,地层学范围是观察到的单个患者的感染持续时间,通过出芽的“出生”是传播途径,“死亡”是康复,并且“采样”是对患者病原体进行测序。因此,我们提出了一个模型,该模型允许在一个时间段内合并来自单个患者的多个观察结果。

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