Zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis
Song, C.; Choi, H.; Jeon, M.-S.; Kim, E.-J.; Jeong, H.G.; Kim, S.; Kim, C.; Hwang, H.; Purnaningtyas, D.W.; Lee, S.; Eyun, S.; Lee, Y.-H. (2021). Zooplankton diversity monitoring strategy for the urban coastal region using metabarcoding analysis. NPG Scientific Reports 11(1): 24339. https://dx.doi.org/10.1038/s41598-021-03656-3
In: Scientific Reports (Nature Publishing Group). Nature Publishing Group: London. ISSN 2045-2322; e-ISSN 2045-2322, more
|   |
| Authors | | Top |
- Song, C.
- Choi, H.
- Jeon, M.-S.
- Kim, E.-J.
|
- Jeong, H.G.
- Kim, S.
- Kim, C.
- Hwang, H.
|
- Purnaningtyas, D.W.
- Lee, S.
- Eyun, S.
- Lee, Y.-H.
|
| Abstract |
Marine ecosystems in urban coastal areas are exposed to many risks due to human activity. Thus, long-term and continuous monitoring of zooplankton diversity is necessary. High-throughput DNA metabarcoding has gained recognition as an efficient and highly sensitive approach to accurately describing the species diversity of marine zooplankton assemblages. In this study, we collected 30 zooplankton samples at about 2-week intervals for 1 year. Zooplankton diversity showing a typical four season pattern. Of the “total” and “common” zooplankton, we assigned 267 and 64 taxa. The cluster structure and seasonal diversity pattern were rough when only the “common” zooplankton was used. Our study examined how to maximize the benefits of metabarcoding for monitoring zooplankton diversity in urban coastal areas. The results suggest that to take full advantage of metabarcoding when monitoring a zooplankton community, it is necessary to carefully investigate potential ecosystem threats (non-indigenous species) through sufficient curation rather than disregarding low-abundance operational taxonomic units. |
|
