Genetic variation and evolutionary relationships of dominant ticks in Northwestern Iran utilizing COI and ITS2

Hard ticks are important vectors of medical and veterinary pathogens. Accurate species identification is crucial for understanding the dynamics of tick-borne diseases, yet the presence of cryptic species, damaged specimens, or immature stages often limits morphological methods. This study investigated the genetic diversity and phylogenetic relationships of ticks in northwestern Iran. In total 283 ticks collected from domestic livestock across ten towns in Ardabil Province. Morphological identification was complemented by molecular analyses using mitochondrial COI and nuclear ITS2 markers. Phylogenetic trees were constructed using Maximum Likelihood. Genetic distances were estimated with the Kimura two-parameter (K2P) model. Morphological and molecular analyses identified three species: R. sanguineus (n = 132), H. marginatum (n = 80), and D. marginatus (n = 71). COI and ITS2 markers reliably discriminated species and revealed frequent misidentification between R. sanguineus and R. turanicus. ITS2 haplotypes of R. sanguineus matched populations from Italy and Israel, whereas COI data showed high genetic similarity among local and Asian populations. Both markers showed that H. marginatum and D. marginatus clustered with Turkish lineages. Molecular markers and haplotype analyses provide robust tools for accurate species identification, revealing tick diversity, population structure, and dispersal pathways. These insights are essential for effective surveillance and control of tick-borne diseases in the region.

Authors

Institutions

Publication Details

Journal
Parasitology Research
Published
2026-02-18
DOI
https://doi.org/10.1007/s00436-026-08650-0
Primary Topic
Vector-borne infectious diseases
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic variation and evolutionary relationships of dominant ticks in Northwestern Iran utilizing COI and ITS2

Meysam Motevasseli, Parisa Soltan-Alinejad, Eslam Moradi-Asl
Parasitology Research
Vector-borne infectious diseases
article

Genetic variation and evolutionary relationships of dominant ticks in Northwestern Iran utilizing COI and ITS2

Meysam Motevasseli, Parisa Soltan-Alinejad, Eslam Moradi-Asl
article en

Abstract

Hard ticks are important vectors of medical and veterinary pathogens. Accurate species identification is crucial for understanding the dynamics of tick-borne diseases, yet the presence of cryptic species, damaged specimens, or immature stages often limits morphological methods. This study investigated the genetic diversity and phylogenetic relationships of ticks in northwestern Iran. In total 283 ticks collected from domestic livestock across ten towns in Ardabil Province. Morphological identification was complemented by molecular analyses using mitochondrial COI and nuclear ITS2 markers. Phylogenetic trees were constructed using Maximum Likelihood. Genetic distances were estimated with the Kimura two-parameter (K2P) model. Morphological and molecular analyses identified three species: R. sanguineus (n = 132), H. marginatum (n = 80), and D. marginatus (n = 71). COI and ITS2 markers reliably discriminated species and revealed frequent misidentification between R. sanguineus and R. turanicus. ITS2 haplotypes of R. sanguineus matched populations from Italy and Israel, whereas COI data showed high genetic similarity among local and Asian populations. Both markers showed that H. marginatum and D. marginatus clustered with Turkish lineages. Molecular markers and haplotype analyses provide robust tools for accurate species identification, revealing tick diversity, population structure, and dispersal pathways. These insights are essential for effective surveillance and control of tick-borne diseases in the region.

Parasitology ResearchVol. 125(1)
Ardabil University of Medical Sciences (IR)
Ardabil University of Medical Sciences
Reduced inequalities
Openalex Percentile: Top 51%
Vector-borne infectious diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.