Effects of sampling seasons and locations on fish environmental DNA metabarcoding in dam reservoirs. Issue 12 (6th May 2020)
- Record Type:
- Journal Article
- Title:
- Effects of sampling seasons and locations on fish environmental DNA metabarcoding in dam reservoirs. Issue 12 (6th May 2020)
- Main Title:
- Effects of sampling seasons and locations on fish environmental DNA metabarcoding in dam reservoirs
- Authors:
- Hayami, Kana
Sakata, Masayuki K.
Inagawa, Takashi
Okitsu, Jiro
Katano, Izumi
Doi, Hideyuki
Nakai, Katsuki
Ichiyanagi, Hidetaka
Gotoh, Ryo O.
Miya, Masaki
Sato, Hirotoshi
Yamanaka, Hiroki
Minamoto, Toshifumi - Abstract:
- Abstract: Environmental DNA (eDNA) analysis has seen rapid development in the last decade, as a novel biodiversity monitoring method. Previous studies have evaluated optimal strategies, at several experimental steps of eDNA metabarcoding, for the simultaneous detection of fish species. However, optimal sampling strategies, especially the season and the location of water sampling, have not been evaluated thoroughly. To identify optimal sampling seasons and locations, we performed sampling monthly or at two‐monthly intervals throughout the year in three dam reservoirs. Water samples were collected from 15 and nine locations in the Miharu and Okawa dam reservoirs in Fukushima Prefecture, respectively, and five locations in the Sugo dam reservoir in Hyogo Prefecture, Japan. One liter of water was filtered with glass‐fiber filters, and eDNA was extracted. By performing MiFish metabarcoding, we successfully detected a total of 21, 24, and 22 fish species in Miharu, Okawa, and Sugo reservoirs, respectively. From these results, the eDNA metabarcoding method had a similar level of performance compared to conventional long‐term data. Furthermore, it was found to be effective in evaluating entire fish communities. The number of species detected by eDNA survey peaked in May in Miharu and Okawa reservoirs, and in March and June in Sugo reservoir, which corresponds with the breeding seasons of many of fish species inhabiting the reservoirs. In addition, the number of detected species wasAbstract: Environmental DNA (eDNA) analysis has seen rapid development in the last decade, as a novel biodiversity monitoring method. Previous studies have evaluated optimal strategies, at several experimental steps of eDNA metabarcoding, for the simultaneous detection of fish species. However, optimal sampling strategies, especially the season and the location of water sampling, have not been evaluated thoroughly. To identify optimal sampling seasons and locations, we performed sampling monthly or at two‐monthly intervals throughout the year in three dam reservoirs. Water samples were collected from 15 and nine locations in the Miharu and Okawa dam reservoirs in Fukushima Prefecture, respectively, and five locations in the Sugo dam reservoir in Hyogo Prefecture, Japan. One liter of water was filtered with glass‐fiber filters, and eDNA was extracted. By performing MiFish metabarcoding, we successfully detected a total of 21, 24, and 22 fish species in Miharu, Okawa, and Sugo reservoirs, respectively. From these results, the eDNA metabarcoding method had a similar level of performance compared to conventional long‐term data. Furthermore, it was found to be effective in evaluating entire fish communities. The number of species detected by eDNA survey peaked in May in Miharu and Okawa reservoirs, and in March and June in Sugo reservoir, which corresponds with the breeding seasons of many of fish species inhabiting the reservoirs. In addition, the number of detected species was significantly higher in shore, compared to offshore samples in the Miharu reservoir, and a similar tendency was found in the other two reservoirs. Based on these results, we can conclude that the efficiency of species detection by eDNA metabarcoding could be maximized by collecting water from shore locations during the breeding seasons of the inhabiting fish. These results will contribute in the determination of sampling seasons and locations for fish fauna survey via eDNA metabarcoding, in the future. Abstract : Number of detected species by eDNA metabarcoding for (a) Miharu dam reservoir, (b) Okawa dam reservoir, and (c) Sugo dam reservoir. The number of species detected by eDNA survey peaked in May in Miharu and Okawa reservoirs, and in March and June in Sugo reservoir, which corresponds with the breeding seasons of many of the fish species inhabiting the reservoirs. … (more)
- Is Part Of:
- Ecology and evolution. Volume 10:Issue 12(2020)
- Journal:
- Ecology and evolution
- Issue:
- Volume 10:Issue 12(2020)
- Issue Display:
- Volume 10, Issue 12 (2020)
- Year:
- 2020
- Volume:
- 10
- Issue:
- 12
- Issue Sort Value:
- 2020-0010-0012-0000
- Page Start:
- 5354
- Page End:
- 5367
- Publication Date:
- 2020-05-06
- Subjects:
- environmental DNA -- fish -- metabarcoding -- reservoir
Ecology -- Periodicals
Evolution -- Periodicals
577.05 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2045-7758 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/ece3.6279 ↗
- Languages:
- English
- ISSNs:
- 2045-7758
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13364.xml