Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/29700
Title: A transcriptome-based phylogenetic study of hard ticks (Ixodidae)
Authors: Charrier, N. Pierre
Hermouet, Axelle
Hervet, Caroline
Agoulon, Albert
Barker, Stephen C.
HEYLEN, Dieter 
Toty, Celine
McCoy, Karen D.
Plantard, Olivier
Rispe, Claude
Issue Date: 2019
Publisher: NATURE PUBLISHING GROUP
Source: SCIENTIFIC REPORTS, 9 (Art N° 12923)
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.
Notes: [Charrier, N. Pierre; Hermouet, Axelle; Hervet, Caroline; Agoulon, Albert; Plantard, Olivier; Rispe, Claude] INRA, BIOEPAR, Nantes, France. [Barker, Stephen C.] Univ Queensland, Dept Parasitol, Sch Chem & Mol Biosci, Brisbane, Qld, Australia. [Heylen, Dieter] Univ Antwerp, Dept Biol, Evolutionary Ecol Grp, Antwerp, Belgium. [Heylen, Dieter] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Diepenbeek, Belgium. [Heylen, Dieter] Princeton Univ, Dept Ecol & Evolutionary Biol, Princeton, NJ 08544 USA. [Toty, Celine; McCoy, Karen D.] Univ Montpellier, UMR5290, CNRS,Inst Rech Dev UR224, Lab MIVEGEC Malad Infect & Vecteurs Ecol Genet Ev, Montpellier, France.
Document URI: http://hdl.handle.net/1942/29700
ISSN: 2045-2322
e-ISSN: 2045-2322
DOI: 10.1038/s41598-019-49641-9
ISI #: 000484657400001
Rights: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Category: A1
Type: Journal Contribution
Validations: ecoom 2020
Appears in Collections:Research publications

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