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Identification of DNA Viruses in Ancient DNA from Herbarium Samples.
Grasso, Gianluca; Rotunno, Silvia; Debruyne, Régis; Bittner, Lucie; Miozzi, Laura; Marmeisse, Roland; Bianciotto, Valeria.
Afiliación
  • Grasso G; Dipartimento di Scienze della Vita e Biologia dei Sistemi, Università degli Studi of Turin, Turin, Italy.
  • Rotunno S; Muséum National d'Histoire Naturelle, Institut Systématique Evolution, Biodiversité, (ISYEB: UMR7205 CNRS-MNHN-Sorbonne Université-EPHE-UA), Paris, France.
  • Debruyne R; Institute for Sustainable Plant Protection (IPSP), National Research Council (CNR), Turin, Italy.
  • Bittner L; Institute for Sustainable Plant Protection (IPSP), National Research Council (CNR), Turin, Italy.
  • Miozzi L; Muséum National d'Histoire Naturelle, Archéozoologie, Archéobotanique: Sociétés, Pratiques et Environnements (AASPE: UMR 7209 CNRS-MNHN), Paris, France.
  • Marmeisse R; Muséum National d'Histoire Naturelle, Institut Systématique Evolution, Biodiversité, (ISYEB: UMR7205 CNRS-MNHN-Sorbonne Université-EPHE-UA), Paris, France.
  • Bianciotto V; Institut Universitaire de France, Paris, France.
Methods Mol Biol ; 2732: 221-234, 2024.
Article en En | MEDLINE | ID: mdl-38060128
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Virus ADN / ADN Antiguo Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Virus ADN / ADN Antiguo Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: Italia
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