Evidence map›Paper›PMID 31622384›Full record

ArticlePloS one2019

Identification of closely related Ixodes species by protein profiling with MALDI-TOF mass spectrometry.

Pierre H Boyer, Lionel Almeras, Olivier Plantard, Antoine Grillon, Émilie Talagrand-Reboul, Karen McCoy, Benoît Jaulhac, Nathalie Boulanger

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Co-occurrence ofOpen veterinary journal · 2026
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  6. Observational
  7. Dynamics ofApplied and environmental microbiology · 2025
    Article
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  10. First detection ofFrontiers in veterinary science · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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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

8 authors.

Pierre H BoyerEA 7290: Early Bacterial Virulence: Borrelia Group, CHRU Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France.ORCID 0000-0001-7271-4246
Lionel AlmerasUnité Parasitologie et Entomologie, Département Microbiologie et maladies infectieuses, Institut de Recherche Biomédicale des Armées, Marseille, France.
Olivier PlantardBIOEPAR, INRA, Oniris, Université Bretagne Loire, Nantes, France.
Antoine GrillonEA 7290: Early Bacterial Virulence: Borrelia Group, CHRU Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France.
Émilie Talagrand-ReboulEA 7290: Early Bacterial Virulence: Borrelia Group, CHRU Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France.
Karen McCoyMaladies Infectieuses & Vecteurs: Ecologie, Génétique, Evolution & Contrôle (MIVEGEC), Université de Montpellier-CNRS-IRD, Centre IRD, Montpellier, France.
Benoît JaulhacEA 7290: Early Bacterial Virulence: Borrelia Group, CHRU Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France.
Nathalie BoulangerEA 7290: Early Bacterial Virulence: Borrelia Group, CHRU Strasbourg, Fédération de Médecine Translationnelle, Strasbourg, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ticks are vectors of infectious diseases of major importance in human and veterinary medicine. For epidemiological studies, accurate identification of ticks is crucial to define their potential role as vectors and to develop control and prevention strategies. Although morphological and molecular methods are widely used to identify ticks, an innovative approach using MALDI-TOF MS technology recently emerged as an alternative tool. Previous works showed that MALDI-TOF MS was highly effective in identifying ticks, but these works mainly tested tick specimens of different genera. To confirm the accuracy of this new tool for tick identification, nine closely related tick species belonging to the Ixodes genus were analysed, specimens of the Dermacentor reticulatus species were also included in the analysis as an outer group. Three of the species used for the present study belonged to the I. ricinus species complex, which are known to transmit Borrelia burgdorferi sensu lato, the causative agent of Lyme borreliosis. A total of 246 tick specimens were submitted to MALDI-TOF MS analysis, and two body parts (half-idiosoma and four legs) were individually investigated. For each body part, intraspecies reproducibility and interspecies specificity of the MS profiles were determined. The profile analysis revealed that the main determinant for spectra clustering was the tick species for both legs and half-idiosoma. For each body part, a reference database of spectra was set up including 2 to 5 specimens per species randomly selected, and genotyped using 16s rDNA and COI genes to confirm their morphological identification. Both created spectral databases were individually blind tested with their respective body part using the remaining specimens, which were correctly identified in 98.5% of the cases. MALDI-TOF MS is a reliable tool for tick identification, including specimens belonging to closely related species and hardly distinguishable using morphology. The 4-legs as well as the half-idiosoma of ticks can now be applied for specimen identification using two different databases. The combined use of these two body parts improves the rate of tick identification and their confidence level.

Indexed as

AnimalsArthropod ProteinsElectron Transport Complex IVFemaleGenotypeHindlimbIxodesLife Cycle StagesMalePhylogenyReproducibility of ResultsRNA, Ribosomal, 16SSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationArthropod ProteinsElectron Transport Complex IVRNA, Ribosomal, 16S

Identifiers

PMID31622384
PMCPMC6797106

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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.