Evidence map›Paper›PMID 38291487›Full record

ArticleParasites & vectors2024

Species identification of adult ixodid ticks by Raman spectroscopy of their feces.

Tianyi Dou, Aidan P Holman, Samantha R Hays, Taylor G Donaldson, Nicolas Goff, Pete D Teel, Dmitry Kurouski

Abstract read
In one paragraph

Article in Parasites & vectors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Tianyi DouDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77843, USA.
Aidan P HolmanDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77843, USA.
Samantha R HaysDepartment of Entomology, Texas A&M AgriLife Research, College Station, TX, 77843, USA.
Taylor G DonaldsonDepartment of Entomology, Texas A&M AgriLife Research, College Station, TX, 77843, USA.
Nicolas GoffDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77843, USA.
Pete D TeelDepartment of Entomology, Texas A&M AgriLife Research, College Station, TX, 77843, USA. Pete.Teel@ag.tamu.edu.
Dmitry KurouskiDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77843, USA.

Funding

Animal and Plant Health Inspection Service M2100259US Department of Homeland Security 18STCBT00001
6 · The paper itself

Abstract

backgroundTicks and tick-borne diseases pose significant challenges to cattle production, thus the species identification of ticks and knowledge on their presence, abundance, and dispersal are necessary for the development of effective control measures. The standard method of inspection for the presence of ticks is the visual and physical examination of restrained animals, but the limitations of human sight and touch can allow larval, nymphal, and unfed adult ticks to remain undetected due to their small size and site of attachment. However, Raman spectroscopy, an analytical tool widely used in agriculture and other sectors, shows promise for the identification of tick species in infested cattle. Raman spectroscopy is a non-invasive and efficient method that employs the interaction between molecules and light for the identification of the molecular constituents of specimens.

methodsRaman spectroscopy was employed to analyze the structure and composition of tick feces deposited on host skin and hair during blood-feeding. Feces of 12 species from a total of five genera and one subgenus of ixodid ticks were examined. Spectral data were subjected to partial least squares discriminant analysis, a machine-learning model. We also used Raman spectroscopy and the same analytical procedures to compare and evaluate feces of the horn fly Haematobia irritans after it fed on cattle.

resultsFive genera and one sub-genus at overall true prediction rates ranging from 92.3 to 100% were identified from the Raman spectroscopy data of the tick feces. At the species level, Dermacentor albipictus, Dermacentor andersoni and Dermacentor variabilis at overall true prediction rates of 100, 99.3 and 100%, respectively, were identified. There were distinct differences between horn fly and tick feces with respect to blood and guanine vibrational frequencies. The overall true prediction rate for the separation of tick and horn fly feces was 98%.

conclusionsOur findings highlight the utility of Raman spectroscopy for the reliable identification of tick species from their feces, and its potential application for the identification of ticks from infested cattle in the field.

Indexed as

DermacentorIxodidaeTick InfestationsTicksAnimalsCattleFecesHumansSpectrum Analysis, RamanRaman spectroscopyTick fecesTick-infested cattle

Identifiers

PMID38291487
PMCPMC10825978

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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.