Evidence map›Paper›PMID 32413031›Full record

ArticlePloS one2020

Factors affecting the microbiome of Ixodes scapularis and Amblyomma americanum.

R Jory Brinkerhoff, Chris Clark, Kelly Ocasio, David T Gauthier, Wayne L Hynes

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
8.9field-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

51 citing papers in PubMed, 75 citations in OpenAlex.

  1. Article
  2. Article
  3. Advances in the use of entomopathogenic fungi to control ixodid ticks.Revista brasileira de parasitologia veterinaria = Brazilian journal of veterinary parasitology : Orgao Oficial do Colegio Brasileiro de Parasitologia Veterinaria · 2026
    Review
  4. FirstCurrent research in parasitology & vector-borne diseases · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Microbial community variations in adultFrontiers in microbiology · 2025
    Article
  13. Microbiome ofInsects · 2024
    Article
  14. 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

5 authors at 2 institutions in 2 countries.

R Jory BrinkerhoffDepartment of Biology, University of Richmond, Richmond, Virginia, United States of America.ORCID 0000-0002-6259-6175
Chris ClarkDepartment of Biology, University of Richmond, Richmond, Virginia, United States of America.
Kelly OcasioDepartment of Biology, University of Richmond, Richmond, Virginia, United States of America.
David T GauthierDepartment of Biological Sciences, Old Dominion University, Norfolk, Virginia, United States of America.
Wayne L HynesDepartment of Biological Sciences, Old Dominion University, Norfolk, Virginia, United States of America.
University of Richmond · USOld Dominion University · US

Funding

Spatial eco-epidemiology of tick-borne rickettisal pathogens R01AI136035 · NIAID · OLD DOMINION UNIVERSITY · PI GAFF, HOLLY · 2017 to 2021
$2.4M
Howard Hughes Medical InstituteNIAID NIH HHS R01 AI136035
6 · The paper itself

Abstract

The microbial community composition of disease vectors can impact pathogen establishment and transmission as well as on vector behavior and fitness. While data on vector microbiota are accumulating quickly, determinants of the variation in disease vector microbial communities are incompletely understood. We explored the microbiome of two human-biting tick species abundant in eastern North America (Amblyomma americanum and Ixodes scapularis) to identify the relative contribution of tick species, tick life stage, tick sex, environmental context and vertical transmission to the richness, diversity, and species composition of the tick microbiome. We sampled 89 adult and nymphal Ixodes scapularis (N = 49) and Amblyomma americanum (N = 40) from two field sites and characterized the microbiome of each individual using the v3-v4 hypervariable region of the 16S rRNA gene. We identified significant variation in microbial community composition due to tick species and life stage with lesser impact of sampling site. Compared to unfed nymphs and males, the microbiome of engorged adult female I. scapularis, as well as the egg masses they produced, were low in bacterial richness and diversity and were dominated by Rickettsia, suggesting strong vertical transmission of this genus. Likewise, microbiota of A. americanum nymphs and males were more diverse than those of adult females. Among bacteria of public health importance, we detected several different Rickettsia sequence types, several of which were distinct from known species. Borrelia was relatively common in I. scapularis but did not show the same level of sequence variation as Rickettsia. Several bacterial genera were significantly over-represented in Borrelia-infected I. scapularis, suggesting a potential interaction of facilitative relationship between these taxa; no OTUs were under-represented in Borrelia-infected ticks. The systematic sampling we conducted for this study allowed us to partition the variation in tick microbial composition as a function of tick- and environmentally-related factors. Upon more complete understanding of the forces that shape the tick microbiome it will be possible to design targeted experimental studies to test the impacts of individual taxa and suites of microbes on vector-borne pathogen transmission and on vector biology.

Indexed as

AnimalsArthropod VectorsBiodiversityBorreliaDeerEcosystemFemaleHumansIxodesIxodidaeMaleMicrobiotaRickettsiaRNA, Ribosomal, 16SSpecies SpecificityTick-Borne DiseasesRNA, Ribosomal, 16S

Identifiers

PMID32413031
PMCPMC7228056
OpenAlexW3025793429

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.