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@article{ART002954180},
author={Yujin Kang and Jeon Jeong Eun and Han Seung Woo and Su-Yeon Won and Youngkeun Song},
title={Feasibility of Environmental DNA Metabarcoding for Invasive Species Detection According to Taxa},
journal={Journal of Environmental Impact Assessment},
issn={1225-7184},
year={2023},
volume={32},
number={2},
pages={94-111}

TY - JOUR
AU - Yujin Kang
AU - Jeon Jeong Eun
AU - Han Seung Woo
AU - Su-Yeon Won
AU - Youngkeun Song
TI - Feasibility of Environmental DNA Metabarcoding for Invasive Species Detection According to Taxa
JO - Journal of Environmental Impact Assessment
PY - 2023
VL - 32
IS - 2
PB - Korean Society Of Environmental Impact Assessment
SP - 94
EP - 111
SN - 1225-7184
AB - In orderto establish an effective management strategy forinvasive species early detection and regular monitoring are required to assess their introduction or dispersal. Environmental DNA (eDNA) is actively applied to evaluate the fauna including the presence of invasive species as it has high detection sensitivity and can detect multiple species simultaneously. In Korea, the applicability evaluation of metabarcoding is being conducted mainly on fish, and research on other taxa is insufficient. Therefore, this study identified the feasibility of detecting invasive species in Korea using eDNA metabarcoding. In addition, to confirm the possibility of detection by taxa, the detection of target species was evaluated using four universal primers (MiFish, MiMammal, Mibird, Amp16S) designed for fish, mammals, birds, and amphibians. As a result, target species (Trachemys scripta, 3 sites; Cervus nippon, 3 sites; Micropterus salmoides, 7 sites; Rana catesbeiana, 4 sites) were detected in 17 of the total 55 sites. Even in the selection of dense sampling sites within the study area, there was a difference in the detection result by reflecting the ecological characteristics of the target species. A comparison of community structures (species richness, abundance and diversity) based on the presence of invasive species focused on M.salmoides and T.scripta, showed higher diversity at the point where invasive species were detected. Also, 1 to 4 more species were detected and abundance was also up to 1.7 times higher. The results of invasive species detection through metabarcoding and the comparison of community structures indicate that the accumulation of large amounts of monitoring data through eDNA can be efficiently utilized for multidimensional ecosystem evaluation. In addition, it suggested that eDNA can be used as major data for evaluation and prediction, such as tracking biological changes caused by artificial and natural factors and environmental impact assessment.
KW - Invasive species;Next generation sequencing;Metabarcoding;Biological monitoring;eDNA
DO -
UR -
ER -

Yujin Kang, Jeon Jeong Eun, Han Seung Woo, Su-Yeon Won and Youngkeun Song. (2023). Feasibility of Environmental DNA Metabarcoding for Invasive Species Detection According to Taxa. Journal of Environmental Impact Assessment, 32(2), 94-111.

Yujin Kang, Jeon Jeong Eun, Han Seung Woo, Su-Yeon Won and Youngkeun Song. 2023, "Feasibility of Environmental DNA Metabarcoding for Invasive Species Detection According to Taxa", Journal of Environmental Impact Assessment, vol.32, no.2 pp.94-111.

Yujin Kang, Jeon Jeong Eun, Han Seung Woo, Su-Yeon Won, Youngkeun Song "Feasibility of Environmental DNA Metabarcoding for Invasive Species Detection According to Taxa" Journal of Environmental Impact Assessment 32.2 pp.94-111 (2023) : 94.

Yujin Kang, Jeon Jeong Eun, Han Seung Woo, Su-Yeon Won, Youngkeun Song. Feasibility of Environmental DNA Metabarcoding for Invasive Species Detection According to Taxa. 2023; 32(2), 94-111.

Yujin Kang, Jeon Jeong Eun, Han Seung Woo, Su-Yeon Won and Youngkeun Song. "Feasibility of Environmental DNA Metabarcoding for Invasive Species Detection According to Taxa" Journal of Environmental Impact Assessment 32, no.2 (2023) : 94-111.

Yujin Kang; Jeon Jeong Eun; Han Seung Woo; Su-Yeon Won; Youngkeun Song. Feasibility of Environmental DNA Metabarcoding for Invasive Species Detection According to Taxa. Journal of Environmental Impact Assessment, 32(2), 94-111.

Yujin Kang; Jeon Jeong Eun; Han Seung Woo; Su-Yeon Won; Youngkeun Song. Feasibility of Environmental DNA Metabarcoding for Invasive Species Detection According to Taxa. Journal of Environmental Impact Assessment. 2023; 32(2) 94-111.

Yujin Kang, Jeon Jeong Eun, Han Seung Woo, Su-Yeon Won, Youngkeun Song. Feasibility of Environmental DNA Metabarcoding for Invasive Species Detection According to Taxa. 2023; 32(2), 94-111.

Yujin Kang, Jeon Jeong Eun, Han Seung Woo, Su-Yeon Won and Youngkeun Song. "Feasibility of Environmental DNA Metabarcoding for Invasive Species Detection According to Taxa" Journal of Environmental Impact Assessment 32, no.2 (2023) : 94-111.