领域、基因和物种水平进化的整合协调框架

Lei Li, Mukul S. Bansal
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引用次数: 10

摘要

真核生物中的大多数基因由多个蛋白质结构域组成,这些蛋白质结构域可以在进化过程中独立地丢失或获得。这种通过结构域复制、转移或损失的蛋白质结构域的获得和损失对基因的进化和功能具有重要的影响。然而,大多数研究基因进化的计算方法将基因视为进化的基本单位,并假设复制和丢失等进化过程作用于整个基因,而不是基因的一部分。具体来说,尽管众所周知,结构域在基因内部进化,基因在物种内部进化,但目前还不存在任何计算框架来同时模拟结构域、基因和物种的进化,并解释它们之间的相互依赖性。在这里,我们开发了一个三树结构域进化模型,明确地捕捉了结构域、基因和物种水平进化的相互依存关系。我们的模型扩展了经典的系统发育和解框架,该框架通过比较基因树和物种树来推断基因家族的进化,通过明确地考虑域级事件。新模型将领域级事件与基因级事件解耦,并提供了更细粒度的基因家族和领域家族进化视图,易于解释。具体来说,我们(i)引入了新的三树计算框架,(ii)证明了相关的优化问题是np困难的,(iii)为该问题设计了一个有效的启发式解决方案,(iv)将我们的算法应用于来自12种果蝇的约4000个域树和7000个基因树的大型数据集,(v)通过将推断的进化历史与使用现有方法获得的进化历史进行比较,证明了使用我们的新计算框架的影响。我们的实验结果表明,与现有方法相比,使用新的三树模型对域水平和基因水平事件的推断,以及祖先基因的域内容和祖先物种的基因内容的推断都有显着影响。
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An Integrated Reconciliation Framework for Domain, Gene, and Species Level Evolution
The majority of genes in eukaryotes consist of multiple protein domains that can be independently lost or gained during evolution. This gain and loss of protein domains, through domain duplications, transfers, or losses, has important evolutionary and functional consequences for genes. Yet, most computational methods for studying gene evolution view genes as the basic unit of evolution and assume that evolutionary processes such as duplications and losses act on entire genes, rather than on parts of genes. Specifically, even though it is well understood that domains evolve inside genes and genes inside species, there do not exist any computational frameworks to simultaneously model the evolution of domains, genes, and species and account for their inter-dependency. Here, we develop a three-tree model of domain evolution that explicitly captures the interdependence of domain-, gene-, and species-level evolution. Our model extends the classical phylogenetic reconciliation framework, which infers gene family evolution by comparing gene trees and species tree, by explicitly accounting for domain-level events. The new model decouples domain-level events from gene-level events and provides a much more fine-grained view of gene family and domain family evolution that is easy to interpret. Specifically, we (i) introduce the new three-tree computational framework, (ii) prove that the associated optimization problem is NP-hard, (iii) devise an efficient heuristic solution for the problem, (iv) apply our algorithm to a large dataset of about 4000 domain trees and 7000 gene trees from 12 fly species, and (v) demonstrate the impact of using our new computational framework by comparing the inferred evolutionary histories against those obtained using existing approaches. Our experimental results show that using the new three-tree model has a significant impact on the inference of both domain-level and gene-level events, and on the inference of domain content in ancestral genes and gene content in ancestral species, compared to existing approaches.
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