Evidence map›Paper›PMID 33329475›Full record

ArticleFrontiers in microbiology2020

The Microbiome of Leonardo da Vinci's Drawings: A Bio-Archive of Their History.

Guadalupe Piñar, Maria Carla Sclocchi, Flavia Pinzari, Piero Colaizzi, Alexandra Graf, Maria Letizia Sebastiani, Katja Sterflinger

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Guadalupe PiñarDepartment of Biotechnology, Institute of Microbiology and Microbial Biotechnology, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria.
Maria Carla SclocchiLaboratorio di Biologia, Istituto Centrale per la Patologia degli Archivi e del Libro (ICPAL), Rome, Italy.
Flavia PinzariInstitute for Biological Systems (ISB), Council of National Research of Italy (CNR), Monterotondo, Italy.
Piero ColaizziLaboratorio di Biologia, Istituto Centrale per la Patologia degli Archivi e del Libro (ICPAL), Rome, Italy.
Alexandra GrafApplied Life Sciences/Bioengineering/Bioinformatics, FH Campus, Vienna, Austria.
Maria Letizia SebastianiLaboratorio di Biologia, Istituto Centrale per la Patologia degli Archivi e del Libro (ICPAL), Rome, Italy.
Katja SterflingerDepartment of Biotechnology, Institute of Microbiology and Microbial Biotechnology, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seven emblematic Leonardo da Vinci's drawings were investigated through third generation sequencing technology (Nanopore). In addition, SEM analyses were carried out to acquire photographic documentation and to infer the nature of the micro-objects removed from the surface of the drawings. The Nanopore generated microbiomes can be used as a "bio-archive" of the drawings, offering a kind of fingerprint for current and future biological comparisons. This information might help to create a biological catalog of the drawings (cataloging), a microbiome-fingerprint for each single analyzed drawing, as a reference dataset for future studies (monitoring) and last but not least a bio-archive of the history of each single object (added value). Results showed a relatively high contamination with human DNA and a surprising dominance of bacteria over fungi. However, it was possible to identify typical bacteria of the human microbiome, which are mere contaminants introduced by handling of the drawings as well as other microorganisms that seem to have been introduced through vectors, such as insects and their droppings, visible through the SEM analyses. All drawings showed very specific bio-archives, but a core microbiome of bacteria and fungi that are repeatedly found in this type of material as true degraders were identified, such as members of the phyla

Indexed as

bio-archivebiological diagnosisinsect droppingsLeonardo da Vincimicrobiomenanopore technologypaper materialthird generation sequencing

Identifiers

PMID33329475
PMCPMC7718017

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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.