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浣熊科动物全基因组测序揭示了蜜熊(Potos flavus)和北浣熊(Procyon lotor)截然不同的种群历史。

Whole-Genome Sequencing of Procyonids Reveals Distinct Demographic Histories in Kinkajou (Potos flavus) and Northern Raccoon (Procyon lotor).

机构信息

Data Science Lab, Office of the Chief Information Officer, Smithsonian Institution, Washington, DC, USA.

Center for Conservation Genomics, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, DC, USA.

出版信息

Genome Biol Evol. 2021 Jan 7;13(1). doi: 10.1093/gbe/evaa255.

Abstract

Here, we present the initial comparison of the nuclear genomes of the North American raccoon (Procyon lotor) and the kinkajou (Potos flavus) based on draft assemblies. These two species encompass almost 21 Myr of evolutionary history within Procyonidae. Because assemblies greatly impact downstream results, such as gene prediction and annotation, we tested three de novo assembly strategies (implemented in ALLPATHS-LG, MaSuRCA, and Platanus), some of which are optimized for highly heterozygous genomes. We discovered significant variation in contig and scaffold N50 and L50 statistics and genome completeness depending on the de novo assembler used. We compared the performance of these three assembly algorithms in hopes that this study will aid others looking to improve the quality of existing draft genome assemblies even without additional sequence data. We also estimate the demographic histories of raccoons and kinkajous using the Pairwise Sequentially Markovian Coalescent and discuss the variation in population sizes with respect to climatic change during the Pleistocene, as well as aspects of their ecology and taxonomy. Our goal is to achieve a better understanding of the evolutionary history of procyonids and to create robust genomic resources for future studies regarding adaptive divergence and selection.

摘要

在这里,我们根据草案组装展示了北浣熊(Procyon lotor)和蜜熊(Potos flavus)的核基因组的初步比较。这两个物种在浣熊科内涵盖了近 2100 万年的进化历史。由于组装极大地影响了下游结果,例如基因预测和注释,因此我们测试了三种从头组装策略(在 ALLPATHS-LG、MaSuRCA 和 Platanus 中实现),其中一些策略针对高度杂合的基因组进行了优化。我们发现,根据使用的从头组装程序,在 contig 和 scaffold N50 和 L50 统计数据以及基因组完整性方面存在显著差异。我们比较了这三种组装算法的性能,希望这项研究能够帮助其他人在不增加额外序列数据的情况下提高现有草图基因组组装的质量。我们还使用成对顺序马尔可夫合并来估计浣熊和蜜熊的种群历史,并讨论了更新世气候变化过程中种群大小的变化,以及它们的生态学和分类学方面的问题。我们的目标是更好地了解浣熊科的进化历史,并为未来关于适应性分歧和选择的研究创建强大的基因组资源。

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