DNA Barcoding Using 18S rRNA Gene Fragments for Identification of Tick-Borne Protists in Ticks in the Republic of Korea

The objective of this study was to evaluate the diversity and prevalence of tick-borne protists in the Republic of Korea via DNA barcoding using 18S rRNA gene fragments and PCR. Between 2021 and 2022, questing ticks were collected using the flagging method, with a total of 13,375 ticks collected and...

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Bibliographic Details
Published in:Pathogens (Basel) 2024-10, Vol.13 (11), p.941
Main Authors: Alkathiri, Badriah, Lee, Subin, Ahn, KyuSung, Youn, So Youn, Yoo, Mi-Sun, Lee, Hyang-Sim, Cho, Yun Sang, Jung, Jaeyun, Seo, Kwangwon, Kim, Soochong, Umemiya-Shirafuji, Rika, Xuan, Xuenan, Kwak, Dongmi, Shin, SungShik, Lee, Seung-Hun
Format: Article
Language:English
Subjects:
Analysis
Arachnids
Bacteria
Bar codes
Deoxyribonucleic acid
DNA
DNA barcoding
Fragments
Gene sequencing
Genera
Genes
Genetic testing
Lee, Y.S
metabarcoding
next-generation sequencing
Nucleotide sequence
Parasites
Pathogens
Phylogenetics
Polymerase chain reaction
Protozoa
RNA
rRNA 18S
Taxonomy
Theileria
tick
Tick-borne diseases
tick-borne pathogen
Ticks
vector
Veterinary medicine
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Summary:The objective of this study was to evaluate the diversity and prevalence of tick-borne protists in the Republic of Korea via DNA barcoding using 18S rRNA gene fragments and PCR. Between 2021 and 2022, questing ticks were collected using the flagging method, with a total of 13,375 ticks collected and pooled into 1003 samples. Of these, 50 tick pools were selected for DNA barcoding targeting the V4 and V9 regions of 18S rRNA using the MiSeq platform. A taxonomic analysis of the amplicon sequence variants identified three genera of protozoa, namely , , and sp. However, the number and abundance of protists detected were different depending on the primer sets, and was not identified in DNA barcoding. Furthermore, conventional PCR confirmed the presence of , , , and sp. in the collected ticks. This study identified and in for the first time. It demonstrated that the results of DNA barcoding using 18S rRNA gene fragments can vary depending on the primer sets and further optimization is required for library construction to identify tick-borne protists in ticks. Despite these limitations, the findings highlight the potential of DNA barcoding using 18S rRNA gene fragments for screening the diversity of tick-borne protists in ticks.
ISSN:2076-0817
2076-0817
DOI:10.3390/pathogens13110941