Evidence map›Paper›PMID 28725216›Full record

ArticleFrontiers in microbiology2017

Survey of Antibiotic-producing Bacteria Associated with the Epidermal Mucus Layers of Rays and Skates.

Kim B Ritchie, Melbert Schwarz, Joseph Mueller, Valeri A Lapacek, Daniel Merselis, Catherine J Walsh, Carl A Luer

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Identification of Novel Glycans in the Mucus Layer of Shark and Skate Skin.International journal of molecular sciences · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Biofertilizer microorganisms accompanying pathogenic attributes: a potential threat.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Review
  13. Article
  14. Review
  15. Article
  16. Changes in the Microbial Community of the Mottled Skate (Journal of microbiology and biotechnology · 2020
    Article
  17. 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

7 authors.

Kim B RitchieDepartment of Natural Sciences, University of South Carolina Beaufort, BeaufortSC, United States.
Melbert SchwarzMote Marine Laboratory, SarasotaFL, United States.
Joseph MuellerMote Marine Laboratory, SarasotaFL, United States.
Valeri A LapacekMote Marine Laboratory, SarasotaFL, United States.
Daniel MerselisMote Marine Laboratory, SarasotaFL, United States.
Catherine J WalshMote Marine Laboratory, SarasotaFL, United States.
Carl A LuerMote Marine Laboratory, SarasotaFL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elasmobranchs represent a distinct group of cartilaginous fishes that harbor a remarkable ability to heal wounds rapidly and without infection. To date very little work has addressed this phenomenon although it is suggested that antibiotic capabilities associated with epidermal surfaces may be a factor. The study of benefits derived from mutualistic interactions between unicellular and multicellular organisms is a rapidly growing area of research. Here we survey and identify bacterial associates of three ray and one skate species in order to assess the potential for antibiotic production from elasmobranch associated bacteria as a novel source for new antibiotics.

Indexed as

antibacterial screeningantibiotic producing bacteriabeneficial bacteriaepidermal mucuspathogensskatestingray

Identifiers

PMID28725216
PMCPMC5496964

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.