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朝着基因复制品进化动力学的通用模型发展。

Toward a general model for the evolutionary dynamics of gene duplicates.

机构信息

Department of Molecular Biology, University of Wyoming.

出版信息

Genome Biol Evol. 2011;3:1197-209. doi: 10.1093/gbe/evr093. Epub 2011 Sep 13.

Abstract

Gene duplication is an important process in the functional divergence of genes and genomes. Several processes have been described that lead to duplicate gene retention over different timescales after both smaller-scale events and whole-genome duplication, including neofunctionalization, subfunctionalization, and dosage balance. Two common modes of duplicate gene loss include nonfunctionalization and loss due to population dynamics (failed fixation). Previous work has characterized expectations of duplicate gene retention under the neofunctionalization and subfunctionalization models. Here, that work is extended to dosage balance using simulations. A general model for duplicate gene loss/retention is then presented that is capable of fitting expectations under the different models, is defined at t = 0, and decays to an orthologous asymptotic rate rather than zero, based upon a modified Weibull hazard function. The model in a maximum likelihood framework shows the property of identifiability, recovering the evolutionary mechanism and parameters of simulation. This model is also capable of recovering the evolutionary mechanism of simulation from data generated using an unrelated network population genetic model. Lastly, the general model is applied as part of a mixture model to recent gene duplicates from the Oikopleura dioica genome, suggesting that neofunctionalization may be an important process leading to duplicate gene retention in that organism.

摘要

基因复制是基因和基因组功能分化的一个重要过程。已经描述了几种导致基因复制保留的过程,这些过程发生在较小规模事件和全基因组复制之后的不同时间尺度上,包括新功能化、亚功能化和剂量平衡。两种常见的基因重复丢失模式包括非功能化和由于种群动态(固定失败)导致的丢失。先前的工作已经描述了新功能化和亚功能化模型下重复基因保留的预期。在这里,使用模拟扩展了该工作以适应剂量平衡。然后提出了一种通用的重复基因丢失/保留模型,该模型能够适应不同模型的预期,在 t = 0 时定义,并基于修正的 Weibull 风险函数衰减到同源渐近率而不是零。最大似然框架中的模型具有可识别性,能够恢复模拟的进化机制和参数。该模型还能够从使用不相关的网络种群遗传模型生成的数据中恢复模拟的进化机制。最后,将通用模型应用于 Oikopleura dioica 基因组的最近基因重复作为混合模型的一部分,表明新功能化可能是导致该生物体中基因重复保留的重要过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03f4/3205605/ecc16b9f8c6d/gbeevr093f01_lw.jpg

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