soibean:利用线粒体庞基因组图谱对古代环境 DNA 进行高分辨率分类鉴定。

IF 11 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Nicola Alexandra Vogel, Joshua Daniel Rubin, Anders Gorm Pedersen, Peter Wad Sackett, Mikkel Winther Pedersen, Gabriel Renaud
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引用次数: 0

摘要

古环境DNA(aeDNA)正在成为深入了解过去生态系统的有力工具,克服了传统化石记录的局限性。然而,在方法学方面仍存在一些挑战,特别是在将DNA分类到物种水平和进行系统发育分析方面。目前的方法主要是为现代数据集量身定制的,无法捕捉到aeDNA的一些特异性,包括近缘物种的物种混杂和祖先分化。我们介绍了soibean,这是一种利用线粒体泛基因组图从aeDNA读数中识别物种的新型工具。Soibean 采用了损伤感知似然模型,可在低覆盖率和高损伤率的情况下进行精确识别。此外,我们还为 soibean 数据库重建了祖先序列,以处理与现代参考文献高度不同的 aeDNA。soibean 通过模拟数据测试和经验验证证明了其有效性。值得注意的是,我们的方法在已发表的数据集中发现了新的经验结果,包括在瑞典的一个中石器时代社区中使用鼠海豚鲸作为食物,这证明了它在揭示aeDNA研究中以前未被认识的结果方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
soibean: High-Resolution Taxonomic Identification of Ancient Environmental DNA Using Mitochondrial Pangenome Graphs.

Ancient environmental DNA (aeDNA) is becoming a powerful tool to gain insights about past ecosystems, overcoming the limitations of conventional fossil records. However, several methodological challenges remain, particularly for classifying the DNA to species level and conducting phylogenetic analysis. Current methods, primarily tailored for modern datasets, fail to capture several idiosyncrasies of aeDNA, including species mixtures from closely related species and ancestral divergence. We introduce soibean, a novel tool that utilizes mitochondrial pangenomic graphs for identifying species from aeDNA reads. It outperforms existing methods in accurately identifying species from multiple closely related sources within a sample, enhancing phylogenetic analysis for aeDNA. soibean employs a damage-aware likelihood model for precise identification at low coverage with a high damage rate. Additionally, we reconstructed ancestral sequences for soibean's database to handle aeDNA that is highly diverged from modern references. soibean demonstrates effectiveness through simulated data tests and empirical validation. Notably, our method uncovered new empirical results in published datasets, including using porpoise whales as food in a Mesolithic community in Sweden, demonstrating its potential to reveal previously unrecognized findings in aeDNA studies.

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来源期刊
Molecular biology and evolution
Molecular biology and evolution 生物-进化生物学
CiteScore
19.70
自引率
3.70%
发文量
257
审稿时长
1 months
期刊介绍: Molecular Biology and Evolution Journal Overview: Publishes research at the interface of molecular (including genomics) and evolutionary biology Considers manuscripts containing patterns, processes, and predictions at all levels of organization: population, taxonomic, functional, and phenotypic Interested in fundamental discoveries, new and improved methods, resources, technologies, and theories advancing evolutionary research Publishes balanced reviews of recent developments in genome evolution and forward-looking perspectives suggesting future directions in molecular evolution applications.
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