Metabarcoding of Pathogenic Parasites Based on Copro-DNA Analysis of Wild Animals in South Korea

Overview

Journal Heliyon

Specialty Social Sciences

Date 2024 May 6

PMID 38707283

Authors

Jun Ho Choi

Soo Lim Kim

Dong Kyun Yoo

Myung-Hee Yi

Singeun Oh

Myungjun Kim

Sohyeon Yun

Tai-Soon Yong

Seongjun Choe

Jong Koo Lee

Ju Yeong Kim

Affiliations

Soon will be listed here.

Abstract

Four species of dominant wild animals, namely, , , , and , are hosts of potential infectious agents, including helminths and protozoa. Therefore, it is necessary to analyze the infectious agents present in these wild animals to monitor and control the spread of pathogens. In the present study, fecal samples from 51 wild animals were collected from the mountains of Yangpyeong, Hoengseong, and Cheongyang in South Korea and metabarcoding of the V9 region of the 18S rRNA gene was performed to identify various parasite species that infect these wild animals. Genes from nematodes, such as sp., spp., sp., and sp., were detected in the fecal samples from wild animals. In addition, platyhelminthes, including sp., Echinostomatidae gen. sp., sp., sp. and sp., and protozoa, including sp., sp., sp., sp., sp. and sp., were detected. In the present study, various parasites infecting wild animals were successfully identified using metabarcoding. Our technique may play a crucial role in monitoring parasites within wild animals, especially those causing zoonoses.

Citing Articles

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

Alkathiri B, Lee S, Ahn K, Youn S, Yoo M, Lee H Pathogens. 2024; 13(11).

PMID: 39599494 PMC: 11597262. DOI: 10.3390/pathogens13110941.

Metabarcoding study of potential pathogens and zoonotic risks associated with dog feces in Seoul, South Korea.

Liyanagama I, Oh S, Choi J, Yi M, Kim M, Yun S PLoS Negl Trop Dis. 2024; 18(8):e0012441.

PMID: 39196875 PMC: 11355564. DOI: 10.1371/journal.pntd.0012441.

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