Evidence map›Paper›PMID 27190204›Full record

ArticleGenome biology and evolution2016

Population and Evolutionary Genomics of Amblyomma americanum, an Expanding Arthropod Disease Vector.

Javier D Monzón, Elizabeth G Atkinson, Brenna M Henn, Jorge L Benach

Abstract read
In one paragraph

Article in Genome biology and evolution, 2016. 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
–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

51 citing papers in PubMed.

  1. Article
  2. Article
  3. Beefing Up Awareness: Navigating Alpha-Gal Syndrome.Clinical journal of oncology nursing · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Impact of climate change on the tick-host-pathogen complex: distribution patterns, disease incidence, and host infestation.Revista brasileira de parasitologia veterinaria = Brazilian journal of veterinary parasitology : Orgao Oficial do Colegio Brasileiro de Parasitologia Veterinaria · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  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.

Javier D MonzónNatural Science Division, Pepperdine University Department of Molecular Genetics & Microbiology, Stony Brook University javier.monzon@pepperdine.edu.
Elizabeth G AtkinsonDepartment of Ecology & Evolution, Stony Brook University.
Brenna M HennDepartment of Ecology & Evolution, Stony Brook University.
Jorge L BenachDepartment of Molecular Genetics & Microbiology, Stony Brook University.

Funding

IRACDA - The New York Consortium for the Advancement of Postdoctoral Scholars (NY CAPS)Phase IIK12GM102778 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI Carol A. Carter, Karian Janice Wright · 2012 to 2026
$13.1M
Antigen Specific Response to BorreliaR01AI027044 · NIAID · STATE UNIVERSITY NEW YORK STONY BROOK · PI BENACH, JORGE L. · 1989 to 2020
$3.7M
ANTIGEN SPECIFIC RESPONSES TO BORRELIAR37AI027044 · NIAID · STATE UNIVERSITY NEW YORK STONY BROOK · PI BENACH, JORGE L. · 1998 to 2007
$2.6M
Antigen Specific Responses to BorreliaR56AI027044 · NIAID · STATE UNIVERSITY NEW YORK STONY BROOK · PI BENACH, JORGE L. · 2015 to 2015
$467k
NIAID NIH HHS R01 AI027044NIAID NIH HHS R37 AI027044NIAID NIH HHS R56 AI027044NIGMS NIH HHS K12 GM102778
6 · The paper itself

Abstract

The lone star tick, Amblyomma americanum, is an important disease vector and the most frequent tick found attached to humans in the eastern United States. The lone star tick has recently experienced a rapid range expansion into the Northeast and Midwest, but despite this emerging infectious threat to wildlife, livestock, and human health, little is known about the genetic causes and consequences of the geographic expansion. In the first population genomic analysis of any tick species, we characterize the genetic diversity and population structure of A. americanum across its current geographic range, which has recently expanded. Using a high-throughput genotyping-by-sequencing approach, we discovered more than 8,000 single nucleotide polymorphisms in 90 ticks from five locations. Surprisingly, newly established populations in New York (NY) and Oklahoma (OK) are as diverse as historic range populations in North and South Carolina. However, substantial population structure occurs among regions, such that new populations in NY and OK are genetically distinct from historic range populations and from one another. Ticks from a laboratory colony are genetically distinct from wild populations, underscoring the need to account for natural variation when conducting transmission or immunological studies, many of which utilize laboratory-reared ticks. An FST-outlier analysis comparing a recently established population to a long-standing population detected numerous outlier sites, compatible with positive and balancing selection, highlighting the potential for adaptation during the range expansion. This study provides a framework for applying high-throughput DNA sequencing technologies for future investigations of ticks, which are common vectors of diseases.

Indexed as

Genetics, PopulationGenome, InsectAnimalsDisease VectorsGenotypeHigh-Throughput Nucleotide SequencingHumansPolymorphism, Single NucleotideTicksUnited Statesadaptationgenotyping-by-sequencinglone star ticknonmodel organismrange expansion

Identifiers

PMID27190204
PMCPMC4898797

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.