Suppr超能文献

从植物标本馆样本中的古 DNA 中鉴定 DNA 病毒。

Identification of DNA Viruses in Ancient DNA from Herbarium Samples.

机构信息

Dipartimento di Scienze della Vita e Biologia dei Sistemi, Università degli Studi of Turin, Turin, Italy.

Muséum National d'Histoire Naturelle, Institut Systématique Evolution, Biodiversité, (ISYEB: UMR7205 CNRS-MNHN-Sorbonne Université-EPHE-UA), Paris, France.

出版信息

Methods Mol Biol. 2024;2732:221-234. doi: 10.1007/978-1-0716-3515-5_15.

Abstract

Herbaria encompass millions of plant specimens, mostly collected in the nineteenth and twentieth centuries that can represent a key resource for investigating the history and evolution of phytopathogens. In the last years, the application of high-throughput sequencing technologies for the analysis of ancient nucleic acids has revolutionized the study of ancient pathogens including viruses, allowing the reconstruction of historical genomic viral sequences, improving phylogenetic based molecular dating, and providing essential insight into plant virus ecology. In this chapter, we describe a protocol to reconstruct ancient plant and soil viral sequences starting from highly fragmented ancient DNA extracted from herbarium plants and their associated rhizospheric soil. Following Illumina high-throughput sequencing, sequence data are de novo assembled, and DNA viral sequences are selected, according to their similarity with known viruses.

摘要

标本馆收藏了数以百万计的植物标本,这些标本主要是在 19 世纪和 20 世纪采集的,它们可以代表研究植物病原菌历史和进化的重要资源。近年来,高通量测序技术在分析古代核酸方面的应用彻底改变了对古代病原体(包括病毒)的研究,使重建历史基因组病毒序列、改进基于系统发育的分子定年以及深入了解植物病毒生态学成为可能。在本章中,我们描述了一种从标本馆植物及其相关根际土壤中提取的高度碎片化的古代 DNA 开始重建古代植物和土壤病毒序列的方案。在进行 Illumina 高通量测序后,根据与已知病毒的相似性,从头组装序列数据,并选择 DNA 病毒序列。

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