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PoPoolationTE2:利用群体重测序技术进行转座元件的比较群体基因组学研究

PoPoolationTE2: Comparative Population Genomics of Transposable Elements Using Pool-Seq.

作者信息

Kofler Robert, Gómez-Sánchez Daniel, Schlötterer Christian

机构信息

Institut für Populationsgenetik, Vetmeduni Vienna, Veterinärplatz 1, 1210 Wien, Austria.

Institut für Populationsgenetik, Vetmeduni Vienna, Veterinärplatz 1, 1210 Wien, Austria

出版信息

Mol Biol Evol. 2016 Oct;33(10):2759-64. doi: 10.1093/molbev/msw137. Epub 2016 Aug 2.

Abstract

The evolutionary dynamics of transposable elements (TEs) are still poorly understood. One reason is that TE abundance needs to be studied at the population level, but sequencing individuals on a population scale is still too expensive to characterize TE abundance in multiple populations. Although sequencing pools of individuals dramatically reduces sequencing costs, a comparison of TE abundance between pooled samples has been difficult, if not impossible, due to various biases. Here, we introduce a novel bioinformatic tool, PoPoolationTE2, which is specifically tailored for the comparison of TE abundance among pooled population samples or different tissues. Using computer simulations, we demonstrate that PoPoolationTE2 not only faithfully recovers TE insertion frequencies and positions but, by homogenizing the power to identify TEs across samples, it provides an unbiased comparison of TE abundance between pooled population samples. We anticipate that PoPoolationTE2 will greatly facilitate the analysis of TE insertion patterns in a broad range of applications.

摘要

转座元件(TEs)的进化动力学仍未得到充分理解。一个原因是需要在种群水平上研究TE丰度,但在种群规模上对个体进行测序仍然过于昂贵,难以对多个种群中的TE丰度进行表征。尽管对个体池进行测序大大降低了测序成本,但由于各种偏差,即使并非不可能,对池化样本之间的TE丰度进行比较也一直很困难。在这里,我们引入了一种新颖的生物信息学工具PoPoolationTE2,它专门用于比较池化种群样本或不同组织之间的TE丰度。通过计算机模拟,我们证明PoPoolationTE2不仅能忠实地恢复TE插入频率和位置,而且通过使跨样本识别TE的能力均匀化,它能对池化种群样本之间的TE丰度进行无偏差比较。我们预计PoPoolationTE2将极大地促进广泛应用中TE插入模式的分析。

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