Evidence map›Paper›PMID 32127450›Full record

ArticlemBio2020

Modeling of the Coral Microbiome: the Influence of Temperature and Microbial Network.

Laís F O Lima, Maya Weissman, Micheal Reed, Bhavya Papudeshi, Amanda T Alker, Megan M Morris, Robert A Edwards, Samantha J de Putron, Naveen K Vaidya, Elizabeth A Dinsdale

Open access · goldAbstract read
In one paragraph

Article in mBio, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Research Status and Prospect of Amphibian Symbiotic Microbiota.Animals : an open access journal from MDPI · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Mitigation ofApplied and environmental microbiology · 2024
    Article
  15. Review
  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

10 authors at 3 institutions in 2 countries.

Laís F O LimaDepartment of Biology, San Diego State University, San Diego, California, USA.ORCID 0000-0002-7616-3637
Maya WeissmanDepartment of Mathematics and Statistics, San Diego State University, San Diego, California, USA.ORCID 0000-0002-6054-1752
Micheal ReedDepartment of Biology, San Diego State University, San Diego, California, USA.ORCID 0000-0002-0390-5695
Bhavya PapudeshiNational Center for Genome Analysis Support, Pervasive Institute of Technology, Indiana University, Bloomington, Indiana, USA.ORCID 0000-0001-5359-3100
Amanda T AlkerDepartment of Biology, San Diego State University, San Diego, California, USA.ORCID 0000-0002-4428-0978
Megan M MorrisDepartment of Biology, San Diego State University, San Diego, California, USA.ORCID 0000-0002-7024-8234
Robert A EdwardsDepartment of Biology, San Diego State University, San Diego, California, USA.ORCID 0000-0001-8383-8949
Samantha J de PutronBermuda Institute of Ocean Sciences, St. George's, Bermuda.ORCID 0000-0003-1636-3757
Naveen K VaidyaDepartment of Mathematics and Statistics, San Diego State University, San Diego, California, USA.ORCID 0000-0003-3502-2464
Elizabeth A DinsdaleDepartment of Biology, San Diego State University, San Diego, California, USA edinsdale@sdsu.edu.ORCID 0000-0002-2177-203X
San Diego State University · USBermuda Institute of Ocean Sciences · BMIndiana University Bloomington · US

Funding

Predoctoral Training Program in Biological Data Science at Brown UniversityT32GM128596 · NIGMS · BROWN UNIVERSITY · PI RAMACHANDRAN, SOHINI, SANDSTEDE, BJORN · 2018 to 2022
$1.5M
NIGMS NIH HHS T32 GM128596
6 · The paper itself

Abstract

Host-associated microbial communities are shaped by extrinsic and intrinsic factors to the holobiont organism. Environmental factors and microbe-microbe interactions act simultaneously on the microbial community structure, making the microbiome dynamics challenging to predict. The coral microbiome is essential to the health of coral reefs and sensitive to environmental changes. Here, we develop a dynamic model to determine the microbial community structure associated with the surface mucus layer (SML) of corals using temperature as an extrinsic factor and microbial network as an intrinsic factor. The model was validated by comparing the predicted relative abundances of microbial taxa to the relative abundances of microbial taxa from the sample data. The SML microbiome from

Indexed as

MicrobiotaModels, TheoreticalTemperatureAnimalsAnthozoaBermudaMetagenomicsMicrobial InteractionsMucushost-microbemetagenomicsmicrobial communities

Identifiers

PMID32127450
PMCPMC7064765
OpenAlexW3008105341

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.