Journal of the Korean Society of Fisheries and Ocean Technology (수산해양기술연구)

The Korean Society of Fisheries and Ocean Technology (한국수산해양기술학회)
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A pilot study on the application of environmental DNA to the estimation of the biomass of dominant species in the northwestern waters of Jeju Island

제주도 서북 해역에서의 우점종 생물량 추정에 환경 유전자의 적용에 관한 시범 연구

  • KANG, Myounghee (Department of Maritime Police and Production System/Institute of Marine Industry, Gyeongsang National University) ;
  • PARK, Kyeong-Dong (Institute of Fisheries Resources Ecology) ;
  • MIN, Eunbi (Division of Fisheries Science, Chonnam National University) ;
  • LEE, Changheon (Training Ship, Jeju National University) ;
  • KANG, Taejong (Division of Fisheries Science, Chonnam National University) ;
  • OH, Taegeon (Resources Enhancement Division, Korea Fisheries Resources Agency) ;
  • LIM, Byeonggwon (Resources Enhancement Division, Korea Fisheries Resources Agency) ;
  • HWANG, Doojin (School of Marine Technology, Chonnam National University) ;
  • KIM, Byung-Yeob (Training Ship, Jeju National University)
  • 강명희 (경상국립대학교 해양경찰시스템학과/해양산업연구소) ;
  • 박경동 ((주)수산자원생태연구소) ;
  • 민은비 (전남대학교 수산과학과) ;
  • 이창헌 (제주대학교 실습선) ;
  • 강태종 (전남대학교 수산과학과) ;
  • 오태건 (한국수산자원공단 자원조성팀) ;
  • 임병권 (한국수산자원공단 자원조성팀) ;
  • 황두진 (전남대학교 해양기술학부) ;
  • 김병엽 (제주대학교 실습선)
  • Received : 2021.11.01
  • Accepted : 2022.01.19
  • Published : 2022.02.28
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Abstract

Using environmental DNA (eDNA) in the fisheries and oceanography fields, research on the diversity of biological species, the presence or absence of specific species and quantitative evaluation of species has considerably been performed. Up to date, no study on eDNA has been tried in the area of fisheries acoustics in Korea. In this study, the biomass of a dominant species in the northwestern waters of Jeju Island was examined using 1) the catch ratio of the species from trawl survey results and 2) the ranking ratio of the species from the eDNA results. The dominant species was Zoarces gillii, and its trawl catch ratio was 68.2% and its eDNA ratio was 81.3%. The Zoarces gillii biomass from the two methods was 7199.4 tons (trawl) and 8584.6 tons (eDNA), respectively. The mean and standard deviation of the acoustic backscattering strength values (120 kHz) from the entire survey area were 135.5 and 157.7 m2/nm2, respectively. The strongest echo signal occurred at latitude 34° and longitude 126°15' (northwest of Jeju Island). High echo signals were observed in a specific oceanographic feature (salinity range of 32-33 psu and the water temperature range of 19-20℃). This study was a pilot study on evaluating quantitatively aquatic resources by applying the eDNA technique into acoustic-trawl survey method. Points to be considered for high-quality quantitative estimation using the eDNA to fisheries acosutics were discussed.

Keywords

Acknowledgement

이 논문은 2021년 해양수산부 재원으로 해양수산과학기술진흥원의 지원을 받아 수행된 연구이며(광대역 음향 기술을 이용한 북극해 어류 생태 특징 추출에 관한 연구, 1525011758), 또한, 해양수산부가 지원하는 한국해양과학기술원의 2020년 연구선 산·학·연 공동활용 연구사업으로 부터 지원을 받았습니다(PE99885). 그리고, 이 연구는 한국수산자원공단 "근해 수산자원 증대사업 기본 계획 및 중장기 계획 수립" 연구과제의 지원을 받아 연구되었습니다(2020.12).

References

  1. Barnes MA, Turner CR, Jerde CL, Renshaw MA, Chadderton WL and Lodge DM. 2014. Environmental conditions influence eDNA persistence in aquatic systems. Env Sci and Tech 48, 1819-1827. https://doi.org/10.1021/es404734p.
  2. Collins RA, Wangensteen OS, O'Gorman EJ, Mariani S, Sims DW and Genner MJ. 2018. Persistence of environmental DNA in marine systems. Comm Bio 1. https://doi.org/10.1038/s42003-018-0192-6.
  3. Florou H, Sykioti O, Evangeliou N, Mavrokefalou G and Tzempelikou E. 2014. Remote radiological assessment in the marine environment: SMOS and MODIS observations combined to 137Cs activity concentrations in the Aegean Sea-Greece. InProc. Third Inter Conf on Radioeco and Env Radioact. Barcelona, Spain. https://doi.org/10.13140/2.1.2539.9685.
  4. Hansen BK, Bekkevold D, Clausen LW and Nielsen EE. 2018. The sceptical optimist: challenges and perspectives for the application of environmental DNA in marine fisheries. Fish and Fisher 19, 751-768. https://doi.org/10.1111/faf.12286.
  5. Kang M, Fajaryanti R, Son W, Kim J and La H. 2020. Acoustic detection of krill scattering layer in the Terra Nova Bay polynya, Antarctica. Front Mar Sci 7, 1013. https://doi.org/10.3389/fmars.2020.584550.
  6. Kang M, Seo Y, Oh TY, Lee K and Jang CS. 2015. Estimating the biomass of anchovy species off the coast of Tongyeong and Yeosu in South Korea in the spring and winter of 2013 and 2014. J Korean Soc Fish Ocean Technol 51, 86-93. https://doi.org/10.3796/KSFT.2015.51.1.086.
  7. Kayanda R, Everson I, Munyaho T and Mgaya Y. 2012. Target strength measurements of Nile perch (Lates niloticus: Linnaeus, 1758) in Lake Victoria, East Africa. Fisher Res 113, 76-83. https://doi.org/10.1016/j.fishres.2011.10.003.
  8. Kelly RP, Port JA, Yamahara KM and Crowder LB. 2014. Using environmental DNA to census marine fishes in a large mesocosm. PloS one 9. https://doi.org/10.1371/journal.pone.0086175.
  9. Kelly RP, Shelton AO and Gallego R. 2019. Understanding PCR processes to draw meaningful conclusions from environmental DNA studies. Sci Rep 9, 1-4. https://doi.org/10.1038/s41598-019-48546-x.
  10. Kim G and Song Y. 2021. Identification of freshwater fish species in Korea using environmental DNA technique-from the experiment at the freshwater fish ecological learning center in Yangpyeong, Gyeonggi Do. J of Env Imp Assess 30, 1-2. https://doi.org/10.14249/eia.2021.30.1.1.
  11. Kim JH, Jo H, Chang MH, Woo SH, Cho Y and Yoon JD. 2020. Application of environmental DNA for monitoring of freshwater fish in Korea. Kor J of Eco and Env 53, 63-72. https://doi.org/10.11614/KSL.2020.53.1.063.
  12. Kim P, Park C, Lee C and Kim H. 2019. Retention probability of trawl codend for silver croaker (Argyrosomus argentatus). J Korean Soc Fish Ocean Technol 55, 1-6. https://doi.org/10.3796/KSFOT.2019.55.1.001.
  13. Knudsen SW, Ebert RB, Hesselsoe M, Kuntke F, Hassingboe J, Mortensen PB, Thomsen PF, Sigsgaard EE, Hansen BK, Nielsen EE and Moller PR. 2019. Species-specific detection and quantification of environmental DNA from marine fishes in the Baltic Sea. J of Exp Mar Bio and Eco 510, 31-45. https://doi.org/10.1016/j.jembe.2018.09.004.
  14. Lacoursiere-Roussel A, Cote G, Leclerc V and Bernatchez L. 2015. Quantifying relative fish abundance with eDNA: a promising tool for fisheries management. J of App Eco 53, 1148-1157. https://doi.org/10.1111/1365-2664.12598.
  15. Li M, Shan X, Wang W, Ding X, Dai F, Lv D and Wu H. 2020. Qualitative and quantitative detection using eDNA technology: A case study of Fenneropenaeus chinensis in the Bohai Sea. Aquacult and Fisher 5, 148-155. https://doi.org/10.1016/j.aaf.2020.03.012.
  16. Lin P, Chen L, Gao X Wang C, Gao X and Kang M. 2020. Article spatiotemporal distribution and species composition of fish assemblages in the transitional zone of the Three Gorges Reservoir, China. Water 12, 3514. https://doi.org/10.3390/w12123514.
  17. Maruyama A, Nakamura K, Yamanaka H, Kondoh M and Minamoto T. 2014. The release rate of environmental DNA from juvenile and adult fish. PLoS One 9. https://doi.org/10.1371/journal.pone.0114639.
  18. Miya M, Sato Y, Fukunaga T, Sado T, Poulsen JY, Sato K, Minamoto T, Yamamoto S, Yamanaka H, Araki H and Kondoh M. 2015. MiFish, a set of universal PCR primers for metabarcoding environmental DNA from fishes: detection of more than 230 subtropical marine species. Royal Soc Open Sci 2. https://doi.org/10.1098/rsos.150088.
  19. Rees HC, Maddison BC, Middleditch DJ, Patmore JR and Gough KC. 2014. The detection of aquatic animal species using environmental DNA-a review of eDNA as a survey tool in ecology. J of App Eco 51. 1450-1459. https://doi.org/10.1111/1365-2664.12306.
  20. Simmonds EJ and MacLennan DN. 2005. Fisheries acoustics: Theory and practice, 2nd edn Blackwell, Oxford, 456.
  21. Song YK, Kim JH, Won SY and Park C. 2019. Possibility in identifying species composition of fish communities using the environmental DNA metabarcoding technique-with the preliminary results at urban ecological streams. J of the Kor Soc of Env Rest Tech 22, 125-138. https://doi.org/10.13087/kosert.2019.22.6.125.
  22. Stoeckle MY, Adolf J, Charlop-Powers Z, Dunton KJ, Hinks G and VanMorter SM. 2021. Trawl and eDNA assessment of marine fish diversity, seasonality, and relative abundance in coastal New Jersey, USA. ICES J of Mar Sci 78, 293-304. https://doi.org/10.1093/icesjms/fsaa225.
  23. Tandeo P, Ailliot P and Autret E. 2011. Linear Gaussian state-space model with irregular sampling: application to sea surface temperature. Stoch Env Res and Risk Assess 25, 793-804. https://doi.org/10.1007/s00477-010-0442-8.
  24. Thomsen PF, Moller PR, Sigsgaard EE, Knudsen SW, Jorgensen OA and Willerslev E. 2016. Environmental DNA from seawater samples correlate with trawl catches of subarctic, deepwater fishes. PloS one 11. https://doi.org/10.1371/journal.pone.0165252.
  25. Troupin C, Barth A, Sirjacobs D, Ouberdous M, Brankart JM, Brasseur P, Rixen M, Alvera-Azcarate A, Belounis M, Capet A and Lenartz F. 2012. Generation of analysis and consistent error fields using the Data Interpolating Variational Analysis (DIVA). Ocean Model 52, 90-101. https://doi.org/10.1016/j.ocemod.2012.05.002.
  26. Yamamoto S, Minami K, Fukaya K, Takahashi K, Sawada H, Murakami H, Tsuji S, Hashizume H, Kubonaga S, Horiuchi T and Hongo M. 2016. Environmental DNA as a 'snapshot' of fish distribution: A case study of Japanese jack mackerel in Maizuru Bay, Sea of Japan. PloS one 11. https://doi.org/10.1371/journal.pone.0149786.