Evidence map›Paper›PMID 31803148›Full record

ReviewFrontiers in microbiology2019

Diversity, Ecology, and Prevalence of Antimicrobials in Nature.

Megan M Mullis, Ian M Rambo, Brett J Baker, Brandi Kiel Reese

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
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  4. Variable inhibition of differentApplied and environmental microbiology · 2025
    Article
  5. Article
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  7. Article
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  9. Article
  10. Genomic Characterization ofMicroorganisms · 2024
    Article
  11. Article
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  14. Animal Microbiomes as a Source of Novel Antibiotic-Producing Strains.International journal of molecular sciences · 2023
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Megan M MullisDepartment of Life Sciences, Texas A&M University Corpus Christi, Corpus Christi, TX, United States.
Ian M RamboDepartment of Marine Science, University of Texas Marine Science Institute, Port Aransas, TX, United States.
Brett J BakerDepartment of Marine Science, University of Texas Marine Science Institute, Port Aransas, TX, United States.
Brandi Kiel ReeseDepartment of Life Sciences, Texas A&M University Corpus Christi, Corpus Christi, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microorganisms possess a variety of survival mechanisms, including the production of antimicrobials that function to kill and/or inhibit the growth of competing microorganisms. Studies of antimicrobial production have largely been driven by the medical community in response to the rise in antibiotic-resistant microorganisms and have involved isolated pure cultures under artificial laboratory conditions neglecting the important ecological roles of these compounds. The search for new natural products has extended to biofilms, soil, oceans, coral reefs, and shallow coastal sediments; however, the marine deep subsurface biosphere may be an untapped repository for novel antimicrobial discovery. Uniquely, prokaryotic survival in energy-limited extreme environments force microbial populations to either adapt their metabolism to outcompete or produce novel antimicrobials that inhibit competition. For example, subsurface sediments could yield novel antimicrobial genes, while at the same time answering important ecological questions about the microbial community.

Indexed as

antimicrobialcompetitiondiversityNRPSPKSsubsurface

Identifiers

PMID31803148
PMCPMC6869823

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.