Evidence map›Paper›PMID 35736108›Full record

ArticleJournal of fungi (Basel, Switzerland)2022

Antibiotic-Induced Treatments Reveal Stress-Responsive Gene Expression in the Endangered Lichen Lobaria pulmonaria

Tania Chavarria-Pizarro, Philipp Resl, Theresa Kuhl-Nagel, Aleksandar Janjic, Fernando Fernandez Mendoza, Silke Werth

Open access · goldAbstract read
In one paragraph

Article in Journal of fungi (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.6field-weighted citation impact, top 15% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. The Tripartite LichenMicroorganisms · 2023
    Article
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 at 4 institutions in 2 countries.

Tania Chavarria-PizarroSystematics, Biodiversity and Evolution of Plants, Faculty of Biology, LMU Munich, Menzingerstraße 67, 80638 Munich, Germany.
Philipp ReslSystematics, Biodiversity and Evolution of Plants, Faculty of Biology, LMU Munich, Menzingerstraße 67, 80638 Munich, Germany.
Theresa Kuhl-NagelHelmholtz Center Munich, German Research Center for Environmental Health, Institute for Network Biology (INET), Ingolstädter Landstraße 1, 85764 Neuherberg, Germany.
Aleksandar JanjicAnthropology and Human Genomics, Faculty of Biology, LMU Munich, Großhaderner Straße 2-4, 82152 Planegg-Martinsried, Germany.ORCID 0000-0001-7180-5381
Fernando Fernandez MendozaInstitute of Biology, University of Graz, Universitätsplatz 2, 8010 Graz, Austria.
Silke WerthSystematics, Biodiversity and Evolution of Plants, Faculty of Biology, LMU Munich, Menzingerstraße 67, 80638 Munich, Germany.ORCID 0000-0002-4981-7850
Ludwig-Maximilians-Universität München · DEUniversity of Graz · ATHelmholtz Zentrum München · DEUrologische Klinik München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotics are primarily found in the environment due to human activity, which has been reported to influence the structure of biotic communities and the ecological functions of soil and water ecosystems. Nonetheless, their effects in other terrestrial ecosystems have not been well studied. As a result of oxidative stress in organisms exposed to high levels of antibiotics, genotoxicity can lead to DNA damage and, potentially, cell death. In addition, in symbiotic organisms, removal of the associated microbiome by antibiotic treatment has been observed to have a big impact on the host, e.g., corals. The lung lichen

Indexed as

differential expressionsymbiotic organismstoxic environmentstranscriptomic

Identifiers

PMID35736108
PMCPMC9225190
OpenAlexW4282546302

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.