DOI QR코드

DOI QR Code

Possibility in identifying species composition of fish communities using the environmental DNA metabarcoding technique - with the preliminary results at urban ecological streams

환경DNA 메타바코딩 기술을 활용한 수생태계 어류종 군집조사의 가능성 - 도시 생태하천 초기분석 자료를 중심으로

  • Song, Young-Keun (Dept. of Landscape Architecture, Graduate School of Environmental Studies, Seoul National University) ;
  • Kim, Jong-Hee (Dept. of Landscape Architecture, Graduate School of Environmental Studies, Seoul National University) ;
  • Won, Su-Yeon (Dept. of Landscape Architecture, Graduate School of Environmental Studies, Seoul National University) ;
  • Park, Chan (Dept. of Landscape Architecture, University of Seoul)
  • 송영근 (서울대학교 환경대학원 환경조경학과) ;
  • 김종희 (서울대학교 환경대학원 환경조경학과) ;
  • 원수연 (서울대학교 환경대학원 환경조경학과) ;
  • 박찬 (서울시립대학교 조경학과)
  • Received : 2019.11.21
  • Accepted : 2019.12.21
  • Published : 2019.12.31

Abstract

This study aims to highlight the possibility in identifying species composition of fish communities using the environmental DNA (eDNA) metabarcoding technique, from both of the technical introduction and the pilot test at urban ecological streams. This new emerging survey technique using eDNA is getting popular in the world as a compensating way for the conventional field survey. However, the application to the domestic cases has yet to be studied. We attempted to use this technique for identifying fish species observed at four survey points in Hwangguji-chon, Suwon City. As a result, the detected number of species by eDNA sampled once in May was significantly matched with the total number of observed species in annual field surveys. Additionally eDNA results indicated the presence possibility of the unobserved species in field last year, even though the validation may be required. This survey technique seems to be more efficient and applicable to diverse situations of the fields and species, thereby needs to be studied further. We discussed the pros and cons of the application and summarized the research directions in future.

Keywords

References

  1. Andruszkiewicz, E. A..Starks, H. A..Chavez, F. P..Sassoubre, L. M..Block, B. A. and Boehm, A. B. 2017. Biomonitoring of marine vertebrates in Monterey Bay using eDNA metabarcoding. PLoS One. 12(4): e0176343. https://doi.org/10.1371/journal.pone.0176343
  2. Biggs, J..Ewald, N..Valentini, A..Gaboriaud, C..Dejean, T..Griffiths, R. A..Foster, J..Wilkinson, J. W..Arnell, A. and Brotherton, P. 2015. Using eDNA to develop a national citizen science-based monitoring programme for the great crested newt (Triturus cristatus). Biological Conservation. 183: 19-28. https://doi.org/10.1016/j.biocon.2014.11.029
  3. Bohmann, K..Evans, A..Gilbert, M. T. P..Carvalho, G. R..Creer, S..Knapp, M..Yu, D. W. and De Bruyn, M. 2014. Environmental DNA for wildlife biology and biodiversity monitoring. Trends in ecology & evolution. 29(6): 358-367. https://doi.org/10.1016/j.tree.2014.04.003
  4. Bylemans, J..Gleeson, D. M..Lintermans, M..Hardy, C. M..Beitzel, M..Gilligan, D. M. and Furlan, E. M. 2018. Monitoring riverine fish communities through eDNA metabarcoding: determining optimal sampling strategies along an altitudinal and biodiversity gradient. Metabarcoding and Metagenomics 2: e30457. https://doi.org/10.3897/mbmg.2.30457
  5. Choi JK.Choi MK and Choi CB. 2015. Follow-up Monitoring & Adaptive Management after Ecological Restoration for the Stream -Focused the Hakui Stream in Anyang City- . Journal of the Korea Society of Environmental Restoration Technology, 18(6), 85-95. (in Korean with English summary) https://doi.org/10.13087/kosert.2015.18.6.85
  6. Ficetola, G. F..Miaud, C..Pompanon, F. and Taberlet, P. 2008. Species detection using environmental DNA from water samples. Biology letters. 4(4): 423-425. https://doi.org/10.1098/rsbl.2008.0118
  7. Fukumoto, S..Ushimaru, A. and Minamoto, T. 2015. A basin-scale application of environmental DNA assessment for rare endemic species and closely related exotic species in rivers: a case study of giant salamanders in Japan. Journal of Applied Ecology. 52(2): 358-365. https://doi.org/10.1111/1365-2664.12392
  8. Fukumoto, S..Ushimaru, A. and Minamoto, T. 2015. A basin-scale application of environmental DNA assessment for rare endemic species and closely related exotic species in rivers: a case study of giant salamanders in Japan. Journal of Applied Ecology. 52(2): 358-365. https://doi.org/10.1111/1365-2664.12392
  9. Hobbs, J. and Bright, D. 2016. Environmental DNA : implementation for resource development projects in BC and beyond. [Online]. Available: https://open.library.ubc.ca/cIRcle/collections/59367/items/1.0354681. [Accessed: 17-Dec-2019]
  10. Jo, T..Arimoto, M..Murakami, H..Masuda, R. and Minamoto, T. 2019. Particle size distribution of environmental DNA from the nuclei of marine fish. Environmental science & technology. 53(16): 9947-9956. https://doi.org/10.1021/acs.est.9b02833
  11. Kim EB.Lee SR.Lee CI.Park H and Kim HW. 2019. Development of the cephalopod-specific universal primer set and its application for the metabarcoding analysis of planktonic cephalopods in Korean waters. PeerJ 7: e7140. https://doi.org/10.7717/peerj.7140
  12. Minamoto, T..Yamanaka, H..Takahara, T..Honjo, M. N. and Kawabata, Z. I. 2012. Surveillance of fish species composition using environmental DNA. Limnology. 13(2), 193-197. https://doi.org/10.1007/s10201-011-0362-4
  13. Miya, M..Sato, Y..Fukunaga, T..Sado, T..Poulsen, J. Y..Sato, K. 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 Society open science. 2: 150088. https://doi.org/10.1098/rsos.150088
  14. Park HC.Lim JC.Lee JH and Lee GG. 2017. Predicting the Potential Distributions of Invasive Species Using the Landsat Imagery and Maxent : Focused on "Ambrosia trifida L. var. trifida" in Korean Demilitarized Zone. Journal of the Korea Society of Environmental Restoration Technology, 20(1), 1-12. (in Korean with English summary) https://doi.org/10.13087/kosert.2017.20.1.1
  15. Park HC.Kil SH and Seo OH. 2019. The Use of Unmanned Aerial Vehicle for Monitoring Individuals of Ardeidae Species in Breeding Habitat: A Case study on Natural Monument in Sinjeop-ri, Yeoju, South Korea. Journal of the Korea Society of Environmental Restoration Technology, 22(1), 73-84. (in Korean with English summary) https://doi.org/10.13087/KOSERT.2019.22.1.73
  16. Park TG.Kang YS.Seo MK.Kim CH and Park YT. 2008. Rapid detection and quantification of fish killing dinoflagellate Cochlodinium polykrikoides (Dinophyceae) in environmental samples using real-time PCR. Fisheries and aquatic sciences. 11(4): 205-208. https://doi.org/10.5657/fas.2008.11.4.205
  17. Smithsonian Voices. 2018. National Museum of Natural History, Discovery and Danger: The Shocking Fishes of the Amazon's Final Frontier http://www.smithsonianmag.com/blogs/national-museum-of-natural-history/2018/07/30/discovery-and-danger-shocking-fishes-amazons-final-frontier/#zxOETCL0mtLe8YdS.99
  18. Suwon Sustainable City Foundation. 2018. Survey report for water quality and the aquatic ecosystem by citizen participation. (in Korean)
  19. Takahara, T..Minamoto, T. and Doi, H. 2013. Using environmental DNA to estimate the distribution of an invasive fish species in ponds. PloS one. 8(2): e56584. https://doi.org/10.1371/journal.pone.0056584
  20. Ushio, M..Fukuda, H..Inoue, T..Makoto, K..Kishida, O..Sato, K. and Takeshita, M. 2017. Environmental DNA enables detection of terrestrial mammals from forest pond water. Molecular Ecology Resources. 17(6): e63-e75. https://doi.org/10.1111/1755-0998.12690
  21. Willerslev, E..Hansen, A. J..Binladen, J..Brand, T. B..Gilbert, M. T. P..Shapiro, B. and Cooper, A. 2003. Diverse plant and animal genetic records from Holocene and Pleistocene sediments. Science. 300(5620): 791-795. https://doi.org/10.1126/science.1084114
  22. Willerslev, E..Hansen, A. J..Christensen, B..Steffensen, J. P. and Arctander, P. 1999. Diversity of Holocene life forms in fossil glacier ice. Proceedings of the National Academy of Sciences. 96(14): 8017-8021. https://doi.org/10.1073/pnas.96.14.8017
  23. Yamamoto, S..Masuda, R..Sato, Y..Sado, T..Araki, H..Kondoh, M..Minamoto, T..Miya, M. 2017. Environmental DNA metabarcoding reveals local fish communities in a species-rich coastal sea. Scientific reports. 7: 40368. https://doi.org/10.1038/srep40368
  24. Yamanaka, H. and Minamoto, T. 2016. The use of environmental DNA of fishes as an efficient method of determining habitat connectivity. Ecological Indicators. 62: 147-153. https://doi.org/10.1016/j.ecolind.2015.11.022
  25. Yoon TH.Kang HE.Kang CK.Lee SH.Ahn DH.Park H and Kim HW. 2016. Development of a cost-effective metabarcod-ing strategy for analysis of the marine phytoplankton community. PeerJ 4: e2115. https://doi.org/10.7717/peerj.2115
  26. http://mitofish.aori.u-tokyo.ac.jp/mifish

Cited by

  1. MiFish metabarcoding: a high-throughput approach for simultaneous detection of multiple fish species from environmental DNA and other samples vol.86, pp.6, 2019, https://doi.org/10.1007/s12562-020-01461-x