Suppr超能文献

转座元件多样性与新热带两栖动物的活动模式。

Transposable Element Diversity and Activity Patterns in Neotropical Salamanders.

机构信息

Unidad de Genómica Avanzada, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, km 9.6 Libramiento Norte Carretera Irapuato-León, Irapuato, Guanajuato, Mexico.

出版信息

Mol Biol Evol. 2024 Nov 1;41(11). doi: 10.1093/molbev/msae225.

Abstract

Transposable elements (TEs) compose a substantial proportion of the largest eukaryotic genomes. TE diversity has been hypothesized to be negatively correlated with genome size, yet empirical demonstrations of such a relationship in a phylogenetic context are largely lacking. Furthermore, the most abundant type of TEs in genomes varies across groups, and it is not clear if there are patterns of TE activity consistent with genome size among different taxa with large genome sizes. We use low-coverage sequencing of 16 species of Neotropical salamanders, which vary ∼7-fold in genome size, to estimate TE relative abundance and diversity for each species. We also compare the divergence of copies of each TE superfamily to estimate patterns of TE activity in each species. We find a negative relationship between TE diversity and genome size, which is consistent with the hypothesis that either competition among TEs or reduced selection against ectopic recombination may result in lower diversity in the largest genomes. We also find divergent activity patterns in the largest versus the smallest genomes, suggesting that the history of TE activity may explain differences in genome size. Our results suggest that both TE diversity and relative abundance may be predictable, at least within taxonomic groups.

摘要

转座元件 (TEs) 构成了最大的真核生物基因组的很大一部分。已经假设 TE 多样性与基因组大小呈负相关,但在系统发育背景下对这种关系的经验证明在很大程度上是缺乏的。此外,基因组中最丰富的 TE 类型在不同的群体中是不同的,并且不清楚是否存在与大基因组中不同分类群的基因组大小一致的 TE 活性模式。我们使用 16 种新热带蝾螈的低覆盖率测序,这些蝾螈的基因组大小差异约为 7 倍,以估计每个物种的 TE 相对丰度和多样性。我们还比较了每个 TE 超家族的拷贝的分歧,以估计每个物种中 TE 活性的模式。我们发现 TE 多样性与基因组大小之间存在负相关,这与以下假设一致,即 TE 之间的竞争或对异位重组的选择减少可能导致最大基因组中的多样性降低。我们还发现最大和最小基因组之间的活性模式存在差异,这表明 TE 活性的历史可能解释了基因组大小的差异。我们的结果表明,TE 多样性和相对丰度至少在分类群内是可预测的。

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