Evidence map›Paper›PMID 19633806›Full record

ArticleMicrobial ecology2009

Application of molecular techniques to the elucidation of the microbial community structure of antique paintings.

Antonio Santos, Alejandro Cerrada, Silvia García, Margarita San Andrés, Concepción Abrusci, Domingo Marquina

Abstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
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

6 authors.

Antonio SantosDepartment of Microbiology, Biology Faculty, Complutense University of Madrid, José Antonio Novais, 2, 28040, Madrid, Spain.
Alejandro Cerrada
Silvia García
Margarita San Andrés
Concepción Abrusci
Domingo Marquina

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper uses molecular techniques to describe the microstructure and microbiological communities of sixteenth century artwork and their relationships. The microbiological populations, analysed by denaturing gradient gel electrophoresis (DGGE), were highly influenced by the chemical composition of the pictorial layers detected by energy-dispersive X-ray analysis. DGGE revealed that the diversity of microbial communities was lower in pictorial layers composed of pigments with metals, such as Pb, Cu and Hg, than in those found in pictorial layers without such compounds. The number of cultivable microorganisms, mainly fungi and bacteria, was very low in comparison to those found by DGGE, revealing the presence of both cultivable and as-yet-uncultivated (or not viable) species in the samples analysed. Both fungi and bacteria were present in a non-random spatial distribution. Environmental scanning electron microscopy and fluorescent in situ hybridisation analyses revealed that bacterial populations were usually found in close contact with the surface of the pictorial layers, and fungal populations were located on the bacterial biofilm. This work shows, for the first time, the correlation between the diversity of the microbial populations and the chemical composition of the pictorial layers of an artwork.

Indexed as

Environmental MicrobiologyPaintingsBacteriaBiofilmsColoring AgentsDNA, BacterialDNA, FungalElectrophoresis, Polyacrylamide GelFungiIn Situ Hybridization, FluorescenceMicroscopy, Electron, ScanningPaintSpectrometry, X-Ray EmissionColoring AgentsDNA, BacterialDNA, Fungal

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.