Evidence map›Paper›PMID 26870025›Full record

ReviewFrontiers in microbiology2016

Using "Omics" and Integrated Multi-Omics Approaches to Guide Probiotic Selection to Mitigate Chytridiomycosis and Other Emerging Infectious Diseases.

Eria A Rebollar, Rachael E Antwis, Matthew H Becker, Lisa K Belden, Molly C Bletz, Robert M Brucker, Xavier A Harrison, Myra C Hughey, Jordan G Kueneman, Andrew H Loudon and 8 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
15.1field-weighted citation impact, top 1% 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

62 citing papers in PubMed, 128 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Heat stress and amphibian immunity in a time of climate change.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  11. Introduction to the special issue Amphibian immunity: stress, disease and ecoimmunology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  12. Screening Salamanders for Symbionts.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Steelhead trout (Frontiers in Marine Science · 2022
    Article
  17. Article
  18. Using Omics to Study Leprosy, Tuberculosis, and Other Mycobacterial Diseases.Frontiers in cellular and infection microbiology · 2022
    Review
  19. Review
  20. Article

2 more citing papers are in PubMed but not listed here.

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

18 authors at 12 institutions in 5 countries.

Eria A RebollarDepartment of Biology, James Madison University Harrisonburg, VA, USA.
Rachael E AntwisUnit for Environmental Sciences and Management, North-West UniversityPotchefstroom, South Africa; Institute of Zoology, Zoological Society of LondonLondon, UK; School of Environment and Life Sciences, University of SalfordSalford, UK.
Matthew H BeckerCenter for Conservation and Evolutionary Genetics, Smithsonian Conservation Biology Institute, National Zoological Park Washington, DC, USA.
Lisa K BeldenDepartment of Biological Sciences, Virginia Tech Blacksburg, VA, USA.
Molly C BletzZoological Institute, Technische Universität Braunschweig Braunschweig, Germany.
Robert M BruckerRowland Institute, Harvard University Cambridge, MA, USA.
Xavier A HarrisonInstitute of Zoology, Zoological Society of London London, UK.
Myra C HugheyDepartment of Biological Sciences, Virginia Tech Blacksburg, VA, USA.
Jordan G KuenemanDepartment of Ecology and Evolutionary Biology, University of Colorado Boulder, CO, USA.
Andrew H LoudonDepartment of Zoology, Biodiversity Research Centre, University of British Columbia Vancouver, BC, Canada.
Valerie McKenzieDepartment of Ecology and Evolutionary Biology, University of Colorado Boulder, CO, USA.
Daniel MedinaDepartment of Biological Sciences, Virginia Tech Blacksburg, VA, USA.
Kevin P C MinbioleDepartment of Chemistry, Villanova University Villanova, PA, USA.
Louise A Rollins-SmithDepartment of Pathology, Microbiology and Immunology and Department of Pediatrics, Vanderbilt University School of Medicine, Department of Biological Sciences, Vanderbilt University Nashville, TN, USA.
Jenifer B WalkeDepartment of Biological Sciences, Virginia Tech Blacksburg, VA, USA.
Sophie WeissDepartment of Chemical and Biological Engineering, University of Colorado at Boulder Boulder, CO, USA.
Douglas C WoodhamsDepartment of Biology, University of Massachusetts Boston Boston, MA, USA.
Reid N HarrisDepartment of Biology, James Madison University Harrisonburg, VA, USA.
Virginia Tech · USUniversity of Colorado Boulder · USJames Madison University · USHarvard University · USSmithsonian Conservation Biology Institute · USTechnische Universität Braunschweig · DEUniversity of British Columbia · CAUniversity of Massachusetts Boston · USUniversity of Salford · GBVanderbilt University · USVillanova University · USZoological Society of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging infectious diseases in wildlife are responsible for massive population declines. In amphibians, chytridiomycosis caused by Batrachochytrium dendrobatidis, Bd, has severely affected many amphibian populations and species around the world. One promising management strategy is probiotic bioaugmentation of antifungal bacteria on amphibian skin. In vivo experimental trials using bioaugmentation strategies have had mixed results, and therefore a more informed strategy is needed to select successful probiotic candidates. Metagenomic, transcriptomic, and metabolomic methods, colloquially called "omics," are approaches that can better inform probiotic selection and optimize selection protocols. The integration of multiple omic data using bioinformatic and statistical tools and in silico models that link bacterial community structure with bacterial defensive function can allow the identification of species involved in pathogen inhibition. We recommend using 16S rRNA gene amplicon sequencing and methods such as indicator species analysis, the Kolmogorov-Smirnov Measure, and co-occurrence networks to identify bacteria that are associated with pathogen resistance in field surveys and experimental trials. In addition to 16S amplicon sequencing, we recommend approaches that give insight into symbiont function such as shotgun metagenomics, metatranscriptomics, or metabolomics to maximize the probability of finding effective probiotic candidates, which can then be isolated in culture and tested in persistence and clinical trials. An effective mitigation strategy to ameliorate chytridiomycosis and other emerging infectious diseases is necessary; the advancement of omic methods and the integration of multiple omic data provide a promising avenue toward conservation of imperiled species.

Indexed as

amphibiansemerging diseasesmetabolomicsmetagenomicsprobioticstranscriptomics

Identifiers

PMID26870025
PMCPMC4735675
OpenAlexW2297505554

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.