Evidence map›Paper›PMID 31501478›Full record

ArticleScientific reports2019

A transcriptome-based phylogenetic study of hard ticks (Ixodidae).

N Pierre Charrier, Axelle Hermouet, Caroline Hervet, Albert Agoulon, Stephen C Barker, Dieter Heylen, Céline Toty, Karen D McCoy, Olivier Plantard, Claude Rispe

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Genetic and genomic variability ofISME communications · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. The complete mitochondrial genome ofMitochondrial DNA. Part B, Resources · 2021
    Article
  16. Perpetuation of Borreliae.Current issues in molecular biology · 2021
    Article
  17. Review
  18. Article
  19. Review
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

10 authors.

N Pierre CharrierBIOEPAR, INRA, Oniris, Nantes, France.ORCID http://orcid.org/0000-0002-5681-0091
Axelle HermouetBIOEPAR, INRA, Oniris, Nantes, France.
Caroline HervetBIOEPAR, INRA, Oniris, Nantes, France.
Albert AgoulonBIOEPAR, INRA, Oniris, Nantes, France.
Stephen C BarkerDepartment of Parasitology, School of Chemistry & Molecular Biosciences, The University of Queensland, Brisbane, Qld, Australia.
Dieter HeylenEvolutionary Ecology Group, Department of Biology, University of Antwerp, Wilrijk, Belgium.
Céline TotyLaboratoire MIVEGEC (Maladies Infectieuses et Vecteurs: Ecologie, Génétique, Evolution & Contrôle), Université de Montpellier, Centre National de la Recherche Scientifique (UMR5290), Institut de Recherche pour le Développement (UR224), Montpellier, France.
Karen D McCoyLaboratoire MIVEGEC (Maladies Infectieuses et Vecteurs: Ecologie, Génétique, Evolution & Contrôle), Université de Montpellier, Centre National de la Recherche Scientifique (UMR5290), Institut de Recherche pour le Développement (UR224), Montpellier, France.ORCID http://orcid.org/0000-0002-8972-3808
Olivier PlantardBIOEPAR, INRA, Oniris, Nantes, France.
Claude RispeBIOEPAR, INRA, Oniris, Nantes, France. claude.rispe@inra.fr.ORCID http://orcid.org/0000-0002-9489-5719

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hard ticks are widely distributed across temperate regions, show strong variation in host associations, and are potential vectors of a diversity of medically important zoonoses, such as Lyme disease. To address unresolved issues with respect to the evolutionary relationships among certain species or genera, we produced novel RNA-Seq data sets for nine different Ixodes species. We combined this new data with 18 data sets obtained from public databases, both for Ixodes and non-Ixodes hard tick species, using soft ticks as an outgroup. We assembled transcriptomes (for 27 species in total), predicted coding sequences and identified single copy orthologues (SCO). Using Maximum-likelihood and Bayesian frameworks, we reconstructed a hard tick phylogeny for the nuclear genome. We also obtained a mitochondrial DNA-based phylogeny using published genome sequences and mitochondrial sequences derived from the new transcriptomes. Our results confirm previous studies showing that the Ixodes genus is monophyletic and clarify the relationships among Ixodes sub-genera. This work provides a baseline for studying the evolutionary history of ticks: we indeed found an unexpected acceleration of substitutions for mitochondrial sequences of Prostriata, and for nuclear and mitochondrial genes of two species of Rhipicephalus, which we relate with patterns of genome architecture and changes of life-cycle, respectively.

Indexed as

PhylogenyTranscriptomeAnimalsBiological EvolutionComputational BiologyEvolution, MolecularGene Expression ProfilingGenes, MitochondrialHigh-Throughput Nucleotide SequencingIxodidae

Identifiers

PMID31501478
PMCPMC6733903

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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.