Korean Journal of Agricultural Science (농업과학연구)

Institute of Agricultural Science, CNU (충남대학교 농업과학연구소)
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Detection of frog and aquatic insects by environmental DNA in paddy water ecology

  • Keonhee Kim (Human and Eco Care Center, Konkuk University) ;
  • Sera Kwon (Department of Eco Science, Ehwa Woman University) ;
  • Alongsaemi Noh (Human and Eco Care Center, Konkuk University)
  • Received : 2023.02.03
  • Accepted : 2023.04.26
  • Published : 2023.06.01
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Abstract

The paddy environment is classified as a wetland and occupies a very large proportion of the freshwater environment. It is also ecologically important as a habitat and spawning ground for many aquatic insects and amphibian larvae. However, due to climate change and indiscriminate spraying of pesticides, the rice field ecosystem is continuously threatened. In order to restore ecologically damaged rice paddies in the future, information on organisms living in the rice paddy ecosystem, which can serve as a restoration standard, is needed. The eDNA metabarcoding analysis method is a very effective means of accumulating information on many organisms living in the rice field ecosystem because it can indirectly identify the existence of taxa that are no longer found in the target ecosystem due to different adult life periods or metamorphosis. In this study, genes of four species of frogs and nine species of aquatic insects were also discovered, and some taxa were directly discovered in the field. A large number of taxa have been discovered only by DNA searches, and traditional survey methods have only been able to identify very limited taxa. This eDNA-based paddy field biosearch is expected to be very useful in the investigation of biodiversity in agricultural ecosystems due to its strong analytical resolution.

논(paddy) 환경은 습지로 분류되며 담수환경에서 매우 많은 비율을 차지하고 있다. 또한 많은 수서곤충류 및 양서파충류 유생의 서식지 및 산란 장소로써 생태학적으로 매우 중요하다. 하지만 기후변화 및 무분별한 농약 살포 등으로 인해 논 생태계는 지속적으로 위협받고 있다. 따라서 향후 훼손된 논 생태계를 복원하기 위해서는 복원 기준이 될 수 있는 논 생태계 서식 생물들의 정보가 필요하다. 환경유전자 metabarcoding 분석법은 성체 생활시기가 다르거나 성충으로 우화하여 대상 생태계에서 더 이상 발견할 수 없는 분류군까지 존재 여부를 간접적으로 파악할 수 있기 때문에 논 생태계에 서식하는 많은 생물들의 정보를 축적하는데 매우 효과적이다. 본 연구에서도 4종의 개구리와 9종의 수서곤충 유전자가 발견되었으며, 일부 분류군은 현장에서 개체가 직접 발견되었다. 많은 수의 분류군이 DNA 탐색에서만 발견되었으며, 전통적인 조사방법은 매우 제한적인 분류군만을 확인할 수 있었다. 이러한 eDNA 기반의 논 생물탐색은 강력한 분석 해상도 때문에 농업 생태계 생물다양성 조사에서 활용가치가 매우 높을 것으로 판단된다.

Keywords

Acknowledgement

본 논문은 농촌진흥청 공동연구사업(과제번호: PJ015071042023)의 지원에 의해 이루어진 것임.

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