Evidence map›Paper›PMID 38060128›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Identification of DNA Viruses in Ancient DNA from Herbarium Samples.

Gianluca Grasso, Silvia Rotunno, Régis Debruyne, Lucie Bittner, Laura Miozzi, Roland Marmeisse, Valeria Bianciotto

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Gianluca GrassoDipartimento di Scienze della Vita e Biologia dei Sistemi, Università degli Studi of Turin, Turin, Italy.
Silvia RotunnoInstitute for Sustainable Plant Protection (IPSP), National Research Council (CNR), Turin, Italy.
Régis DebruyneMuséum National d'Histoire Naturelle, Archéozoologie, Archéobotanique: Sociétés, Pratiques et Environnements (AASPE: UMR 7209 CNRS-MNHN), Paris, France.
Lucie BittnerMuséum National d'Histoire Naturelle, Institut Systématique Evolution, Biodiversité, (ISYEB: UMR7205 CNRS-MNHN-Sorbonne Université-EPHE-UA), Paris, France.
Laura MiozziInstitute for Sustainable Plant Protection (IPSP), National Research Council (CNR), Turin, Italy.
Roland MarmeisseMuséum National d'Histoire Naturelle, Institut Systématique Evolution, Biodiversité, (ISYEB: UMR7205 CNRS-MNHN-Sorbonne Université-EPHE-UA), Paris, France. roland.marmeisse@mnhn.fr.
Valeria BianciottoInstitute for Sustainable Plant Protection (IPSP), National Research Council (CNR), Turin, Italy. valeria.bianciotto@ipsp.cnr.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

DNA, AncientDNA VirusesPhylogenySequence Analysis, DNASoilDNA, AncientSoilAncient DNADNA virusesHerbariaMuseomics

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.