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运用系统发生的 Birth-Death 模型来测量哺乳动物进化中的微卫星保守性。

Measuring microsatellite conservation in mammalian evolution with a phylogenetic birth-death model.

机构信息

Centre for Reproduction and Genomics, Department of Anatomy and Structural Biology, University of Otago, Dunedin, New Zealand.

出版信息

Genome Biol Evol. 2012;4(6):636-47. doi: 10.1093/gbe/evs050. Epub 2012 May 16.

Abstract

Microsatellites make up ∼3% of the human genome, and there is increasing evidence that some microsatellites can have important functions and can be conserved by selection. To investigate this conservation, we performed a genome-wide analysis of human microsatellites and measured their conservation using a binary character birth--death model on a mammalian phylogeny. Using a maximum likelihood method to estimate birth and death rates for different types of microsatellites, we show that the rates at which microsatellites are gained and lost in mammals depend on their sequence composition, length, and position in the genome. Additionally, we use a mixture model to account for unequal death rates among microsatellites across the human genome. We use this model to assign a probability-based conservation score to each microsatellite. We found that microsatellites near the transcription start sites of genes are often highly conserved, and that distance from a microsatellite to the nearest transcription start site is a good predictor of the microsatellite conservation score. An analysis of gene ontology terms for genes that contain microsatellites near their transcription start site reveals that regulatory genes involved in growth and development are highly enriched with conserved microsatellites.

摘要

微卫星约占人类基因组的 3%,越来越多的证据表明,一些微卫星可能具有重要的功能,可以通过选择来保守。为了研究这种保守性,我们对人类微卫星进行了全基因组分析,并在哺乳动物系统发育上使用二值字符的出生-死亡模型来衡量它们的保守性。使用最大似然法估计不同类型微卫星的出生和死亡率,我们表明,哺乳动物中微卫星的获得和丢失的速率取决于它们的序列组成、长度和在基因组中的位置。此外,我们使用混合模型来解释人类基因组中微卫星之间不均匀的死亡率。我们使用该模型为每个微卫星分配基于概率的保守评分。我们发现,位于基因转录起始位点附近的微卫星通常高度保守,并且微卫星与最近的转录起始位点之间的距离是微卫星保守评分的良好预测指标。对含有转录起始位点附近微卫星的基因的基因本体论术语的分析表明,与生长和发育相关的调控基因富含保守的微卫星。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8427/3516246/a29c4882eb59/evs050f1.jpg

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