Suppr超能文献

影响微卫星等位基因大小确定偏差的因素:对突变率估计的影响。

Factors influencing ascertainment bias of microsatellite allele sizes: impact on estimates of mutation rates.

机构信息

Departments of Statistics and Bioengineering, Rice University, Houston, Texas 77005.

出版信息

Genetics. 2013 Oct;195(2):563-72. doi: 10.1534/genetics.113.154161. Epub 2013 Aug 14.

Abstract

Microsatellite loci play an important role as markers for identification, disease gene mapping, and evolutionary studies. Mutation rate, which is of fundamental importance, can be obtained from interspecies comparisons, which, however, are subject to ascertainment bias. This bias arises, for example, when a locus is selected on the basis of its large allele size in one species (cognate species 1), in which it is first discovered. This bias is reflected in average allele length in any noncognate species 2 being smaller than that in species 1. This phenomenon was observed in various pairs of species, including comparisons of allele sizes in human and chimpanzee. Various mechanisms were proposed to explain observed differences in mean allele lengths between two species. Here, we examine the framework of a single-step asymmetric and unrestricted stepwise mutation model with genetic drift. Analysis is based on coalescent theory. Analytical results are confirmed by simulations using the simuPOP software. The mechanism of ascertainment bias in this model is a tighter correlation of allele sizes within a cognate species 1 than of allele sizes in two different species 1 and 2. We present computations of the expected average allele size difference, given the mutation rate, population sizes of species 1 and 2, time of separation of species 1 and 2, and the age of the allele. We show that when the past demographic histories of the cognate and noncognate taxa are different, the rate and directionality of mutations affect the allele sizes in the two taxa differently from the simple effect of ascertainment bias. This effect may exaggerate or reverse the effect of difference in mutation rates. We reanalyze literature data, which indicate that despite the bias, the microsatellite mutation rate estimate in the ancestral population is consistently greater than that in either human or chimpanzee and the mutation rate estimate in human exceeds or equals that in chimpanzee with the rate of allele length expansion in human being greater than that in chimpanzee. We also demonstrate that population bottlenecks and expansions in the recent human history have little impact on our conclusions.

摘要

微卫星位点在鉴定、疾病基因定位和进化研究中起着重要作用。突变率是一个基本的重要参数,可以通过种间比较获得,然而,这种方法受到确认偏差的影响。这种偏差是由于在一个物种(同源物种 1)中基于大等位基因大小选择一个位点而产生的,该位点首先在该物种中被发现。这种偏差反映在任何非同源物种 2 的平均等位基因长度都小于物种 1 的等位基因长度。这种现象在各种物种对中都有观察到,包括人类和黑猩猩的等位基因大小比较。提出了各种机制来解释两个物种之间平均等位基因长度的观察到的差异。在这里,我们研究了一个带有遗传漂变的单步不对称和无限制逐步突变模型的框架。分析基于合并理论。模拟结果使用 simuPOP 软件进行了确认。在该模型中,确认偏差的机制是同源物种 1 内的等位基因大小比两个不同物种 1 和 2 的等位基因大小更紧密相关。我们根据给定的突变率、物种 1 和 2 的种群大小、物种 1 和 2 的分离时间以及等位基因的年龄,计算了预期的平均等位基因大小差异。我们表明,当同源和非同源分类群的过去种群历史不同时,突变的速率和方向性会以不同于确认偏差的简单影响的方式影响两个分类群中的等位基因大小。这种效应可能会夸大或反转突变率差异的影响。我们重新分析了文献数据,这些数据表明,尽管存在偏差,但是在祖先种群中的微卫星突变率估计值始终大于人类或黑猩猩中的突变率估计值,并且人类中的突变率估计值大于或等于黑猩猩中的突变率估计值,而人类中的等位基因长度扩张速率大于黑猩猩中的速率。我们还证明,人类近期历史上的种群瓶颈和扩张对我们的结论影响不大。

相似文献

8
Microsatellite evolution inferred from human-chimpanzee genomic sequence alignments.从人类与黑猩猩基因组序列比对推断微卫星进化。
Proc Natl Acad Sci U S A. 2002 Jun 25;99(13):8748-53. doi: 10.1073/pnas.122067599. Epub 2002 Jun 17.

引用本文的文献

5
A novel test for determination of wild felid-domestic cat hybridization.一种用于确定野生猫科动物与家猫杂交的新方法。
Forensic Sci Int Genet. 2020 Jan;44:102160. doi: 10.1016/j.fsigen.2019.102160. Epub 2019 Oct 22.

本文引用的文献

4
Sequence-level population simulations over large genomic regions.大型基因组区域的序列水平群体模拟。
Genetics. 2007 Nov;177(3):1725-31. doi: 10.1534/genetics.106.069088. Epub 2007 Oct 18.
6
8
simuPOP: a forward-time population genetics simulation environment.simuPOP:一个正向时间种群遗传学模拟环境。
Bioinformatics. 2005 Sep 15;21(18):3686-7. doi: 10.1093/bioinformatics/bti584. Epub 2005 Jul 14.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验