Evidence map›Paper›PMID 42400034›Full record

ArticleParasites & vectors2026

Mitochondrial COI and 16S rDNA barcoding improve species delimitation of ixodid ticks in Peninsular Malaysia.

Nurul Aini Husin, Van Lun Low, Muhammad Haiqal Syarriman AbdulRahim, Muhammad Rasul Abdullah Halim, Auni Atikah AbdulHalim, Muhammad Al Amin Mohd-Redzuan, Edley A Jiliun, Ahmad Khusaini Mohd Kharip Shah, Benjamin L Makepeace, Zubaidah Ya'cob

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Article in Parasites & vectors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Nurul Aini HusinHigher Institution Centre of Excellence, Tropical Infectious Diseases Research & Education Centre (TIDREC), Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Van Lun LowHigher Institution Centre of Excellence, Tropical Infectious Diseases Research & Education Centre (TIDREC), Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Muhammad Haiqal Syarriman AbdulRahimHigher Institution Centre of Excellence, Tropical Infectious Diseases Research & Education Centre (TIDREC), Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Muhammad Rasul Abdullah HalimInstitute of Biological Sciences, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Auni Atikah AbdulHalimHigher Institution Centre of Excellence, Tropical Infectious Diseases Research & Education Centre (TIDREC), Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Muhammad Al Amin Mohd-RedzuanHigher Institution Centre of Excellence, Tropical Infectious Diseases Research & Education Centre (TIDREC), Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Edley A JiliunDepartment of Wildlife and National Parks, Peninsular Malaysia, KM10, Jalan Cheras, 56100, Kuala Lumpur, Malaysia.
Ahmad Khusaini Mohd Kharip ShahDepartment of Wildlife and National Parks, Peninsular Malaysia, KM10, Jalan Cheras, 56100, Kuala Lumpur, Malaysia.
Benjamin L MakepeaceInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, L3 5RF, UK.
Zubaidah Ya'cobHigher Institution Centre of Excellence, Tropical Infectious Diseases Research & Education Centre (TIDREC), Universiti Malaya, 50603, Kuala Lumpur, Malaysia. zyacob@um.edu.my.

Funding

Dana Langganan Sukuk Pakej Rangsangan Ekonomi Prihatin Rakyat (SUKUK PRIHATIN), Malaysia Ministry of Finance through the Ministry of Higher Education, Malaysia Sub-program MO002A-2021
6 · The paper itself

Abstract

backgroundHard ticks (Acari: Ixodidae) are major vectors of zoonotic pathogens affecting humans and animals. Accurate species identification is essential for surveillance and disease risk assessment but is often hindered by morphological similarity and intraspecific variation. In Malaysia, tick studies have largely relied on morphology or single-gene barcoding, with limited taxonomic and geographic coverage.

methodsThis study applied a multilocus mitochondrial approach using cytochrome c oxidase I (COI) and 16S ribosomal DNA (rDNA) to evaluate species boundaries among ixodid ticks from Peninsular Malaysia. Ticks were collected from wild and domestic hosts between 2022 and 2023. A total of 319 specimens representing 14 morphologically defined species were analysed using COI and 16S rDNA sequencing, with additional reference sequences retrieved from GenBank for comparative analyses. Phylogenetic reconstruction, barcode gap assessment, and four species delimitation methods (ASAP, ABGD, bPTP, and GMYC) were employed to assess genetic divergence and identification accuracy.

resultsMolecular analyses were largely congruent with morphological identification. Distance-based delimitation methods (ASAP and ABGD) recovered operational taxonomic units (OTUs) largely consistent with morphologically defined species, whereas tree-based approaches (bPTP and GMYC) inferred substantially higher numbers of OTUs, reflecting sensitivity to intraspecific mitochondrial structuring. These additional subdivisions are interpreted conservatively as population-level genetic differentiation rather than evidence of distinct species. Clear barcode gaps were observed for COI and the concatenated COI + 16S rDNA datasets, whereas partial overlap occurred with 16S rDNA alone. COI demonstrated the highest and most consistent performance for routine species identification, while concatenated datasets improved phylogenetic resolution but reduced assignment clarity under strict barcoding criteria.

conclusionsOverall, COI remains the most effective mitochondrial marker for routine species identification of ixodid ticks in Peninsular Malaysia. These findings highlight the value of integrative approaches combining morphology and molecular data to strengthen tick taxonomy and support surveillance of tick-borne pathogens in the region.

Indexed as

DNA Barcoding, TaxonomicElectron Transport Complex IVIxodidaeRNA, Ribosomal, 16SAnimalsDNA, MitochondrialDNA, RibosomalGenetic VariationMalaysiaMitochondriaPhylogenyDNA, MitochondrialDNA, RibosomalElectron Transport Complex IVRNA, Ribosomal, 16S16S rDNACOIDNA barcodingHard ticksIxodidaeSpecies delimitationVector surveillance

Identifiers

PMID42400034
PMCPMC13602643

What Socratic holds

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Registered trials

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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 Socratic graph.