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自动化发现低覆盖率基因组中转座元件插入可鉴定熊类的系统发育冲突。

Phylogenetic Conflict in Bears Identified by Automated Discovery of Transposable Element Insertions in Low-Coverage Genomes.

机构信息

Senckenberg Biodiversity and Climate Research Centre, Senckenberg Gesellschaft für Naturforschung, Frankfurt am Main, Germany.

Institute for Ecology, Evolution & Diversity, Biologicum, Goethe University Frankfurt, Frankfurt am Main, Germany.

出版信息

Genome Biol Evol. 2017 Oct 1;9(10):2862-2878. doi: 10.1093/gbe/evx170.

Abstract

Phylogenetic reconstruction from transposable elements (TEs) offers an additional perspective to study evolutionary processes. However, detecting phylogenetically informative TE insertions requires tedious experimental work, limiting the power of phylogenetic inference. Here, we analyzed the genomes of seven bear species using high-throughput sequencing data to detect thousands of TE insertions. The newly developed pipeline for TE detection called TeddyPi (TE detection and discovery for Phylogenetic Inference) identified 150,513 high-quality TE insertions in the genomes of ursine and tremarctine bears. By integrating different TE insertion callers and using a stringent filtering approach, the TeddyPi pipeline produced highly reliable TE insertion calls, which were confirmed by extensive in vitro validation experiments. Analysis of single nucleotide substitutions in the flanking regions of the TEs shows that these substitutions correlate with the phylogenetic signal from the TE insertions. Our phylogenomic analyses show that TEs are a major driver of genomic variation in bears and enabled phylogenetic reconstruction of a well-resolved species tree, despite strong signals for incomplete lineage sorting and introgression. The analyses show that the Asiatic black, sun, and sloth bear form a monophyletic clade, in which phylogenetic incongruence originates from incomplete lineage sorting. TeddyPi is open source and can be adapted to various TE and structural variation callers. The pipeline makes it possible to confidently extract thousands of TE insertions even from low-coverage genomes (∼10×) of nonmodel organisms. This opens new possibilities for biologists to study phylogenies and evolutionary processes as well as rates and patterns of (retro-)transposition and structural variation.

摘要

基于转座元件(TEs)的系统发育重建为研究进化过程提供了一个额外的视角。然而,检测具有系统发育信息的 TE 插入需要繁琐的实验工作,限制了系统发育推断的能力。在这里,我们使用高通量测序数据分析了七种熊类的基因组,以检测数千个 TE 插入。新开发的称为 TeddyPi(用于系统发育推断的 TE 检测和发现)的 TE 检测管道在熊科和眼镜熊科的基因组中鉴定了 150513 个高质量的 TE 插入。通过整合不同的 TE 插入调用器并使用严格的过滤方法,TeddyPi 管道生成了高度可靠的 TE 插入调用,这些调用通过广泛的体外验证实验得到了证实。TE 侧翼区单核苷酸替换的分析表明,这些替换与 TE 插入的系统发育信号相关。我们的基因组分析表明,TE 是熊类基因组变异的主要驱动因素,尽管存在不完全谱系分选和基因渗入的强烈信号,但它能够重建分辨率较高的物种树。分析表明,亚洲黑熊、太阳熊和懒熊形成了一个单系群,其中系统发育不一致源于不完全谱系分选。TeddyPi 是开源的,可以适应各种 TE 和结构变异调用器。该管道使得即使在非模式生物的低覆盖率基因组(约 10×)中,也可以自信地提取数千个 TE 插入。这为生物学家研究系统发育和进化过程以及( retro )转座和结构变异的速率和模式开辟了新的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74e3/5737362/7e9c446c6f87/evx170f1.jpg

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