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利用实证证据和模拟解析脊椎动物基因组中转座元件动态的决定因素。

Disentangling the determinants of transposable elements dynamics in vertebrate genomes using empirical evidences and simulations.

机构信息

School of Biological Sciences, University of Portsmouth, Portsmouth, United Kingdom.

New York University Abu Dhabi, Saadiyat Island Campus, Abu Dhabi, United Arab Emirates.

出版信息

PLoS Genet. 2020 Oct 5;16(10):e1009082. doi: 10.1371/journal.pgen.1009082. eCollection 2020 Oct.

Abstract

The interactions between transposable elements (TEs) and their hosts constitute one of the most profound co-evolutionary processes found in nature. The population dynamics of TEs depends on factors specific to each TE families, such as the rate of transposition and insertional preference, the demographic history of the host and the genomic landscape. How these factors interact has yet to be investigated holistically. Here we are addressing this question in the green anole (Anolis carolinensis) whose genome contains an extraordinary diversity of TEs (including non-LTR retrotransposons, SINEs, LTR-retrotransposons and DNA transposons). We observed a positive correlation between recombination rate and frequency of TEs and densities for LINEs, SINEs and DNA transposons. For these elements, there was a clear impact of demography on TE frequency and abundance, with a loss of polymorphic elements and skewed frequency spectra in recently expanded populations. On the other hand, some LTR-retrotransposons displayed patterns consistent with a very recent phase of intense amplification. To determine how demography, genomic features and intrinsic properties of TEs interact we ran simulations using SLiM3. We determined that i) short TE insertions are not strongly counter-selected, but long ones are, ii) neutral demographic processes, linked selection and preferential insertion may explain positive correlations between average TE frequency and recombination, iii) TE insertions are unlikely to have been massively recruited in recent adaptation. We demonstrate that deterministic and stochastic processes have different effects on categories of TEs and that a combination of empirical analyses and simulations can disentangle these mechanisms.

摘要

转座元件 (TEs) 与其宿主之间的相互作用构成了自然界中最深刻的协同进化过程之一。TEs 的种群动态取决于每个 TE 家族的特定因素,例如转座率和插入偏好、宿主的人口历史和基因组景观。这些因素如何相互作用还需要进行全面的研究。在这里,我们研究了绿安乐蜥(Anolis carolinensis),其基因组中包含了极其多样化的 TEs(包括非 LTR 反转录转座子、SINEs、LTR-反转录转座子和 DNA 转座子)。我们观察到重组率与 TEs 的频率以及 LINEs、SINEs 和 DNA 转座子的密度之间存在正相关。对于这些元素,人口统计学对 TE 的频率和丰度有明显的影响,在最近扩张的种群中,多态性元素减少,频率谱偏斜。另一方面,一些 LTR-反转录转座子的模式与最近强烈扩增阶段一致。为了确定人口统计学、基因组特征和 TEs 的内在特性如何相互作用,我们使用 SLiM3 进行了模拟。我们确定了:i)短 TE 插入物不会受到强烈的负选择,但长插入物会受到强烈的负选择,ii)中性人口统计学过程、连锁选择和优先插入可能解释了平均 TE 频率与重组之间的正相关,iii)TE 插入物不太可能在最近的适应中大量招募。我们证明了确定性和随机性过程对不同类型的 TEs 有不同的影响,并且结合经验分析和模拟可以分离这些机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8870/7561263/b18f80776b2e/pgen.1009082.g001.jpg

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