Evidence map›Paper›PMID 40581920›Full record

ArticleJournal of medical entomology2025

Mitochondrial 16S rDNA sequences help identify North American ticks in the genus Argas (Acari: Argasidae).

Tom G Schwan, Brandi N Williamson, Lance A Durden

Abstract read
In one paragraph

Article in Journal of medical entomology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Tom G SchwanLaboratory of Bacteriology, Rocky Mountain Laboratories, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA.ORCID 0000-0003-3361-0780
Brandi N WilliamsonLaboratory of Virology, Rocky Mountain Laboratories, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA.
Lance A DurdenDepartment of Biology, Georgia Southern University, Statesboro, GA, USA.

Funding

National Institute of Allergy and Infectious Diseases
6 · The paper itself

Abstract

Argas (Acari: Argasidae) ticks in the United States include 8 species that parasitize domestic fowl and numerous wild avian species. Ticks infesting a single nest tree of a bald eagle Haliaeetus leucocephalus (Linnaeus) in southern Arizona (United States) were received for identification and included 2 species, Argas (Persicargas) radiatus Railliet (Acari: Argasidae) and Argas (Persicargas) ricei Hoogstraal, Kaiser, Clifford & Keirans (Acari: Argasidae). Their identities were based on key morphological characters supported by mitochondrial 16S rDNA sequences compared to museum reference specimens. DNA sequences of Argas ticks collected from rocky cliffs in northwestern Arizona identified a novel species most closely related to Argas (Argas) monolakensis Schwan, Corwin & Brown (Acari: Argasidae). Another collection from a communal enclosure containing California condors, Gymnogyps californianus (Shaw) in the San Diego Zoo, California (United States) consisted of all active stages of A. (P.) ricei. The examination of these ticks led to an expanded analysis of other Argas species in the United States with a review of their current status.

Indexed as

ArgasEaglesRNA, Ribosomal, 16SAnimalsArizonaDNA, MitochondrialFemaleMaleMolecular Sequence DataNymphPhylogenySequence Analysis, DNADNA, MitochondrialRNA, Ribosomal, 16Savian hostbald eagleCalifornia condorectoparasitesoft tick

Identifiers

PMID40581920
PMCPMC12507429

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.