The DOI matches its Crossref record; 148 of the 148 references it cites were found in a registry or an index.
MiFish metabarcoding: a high-throughput approach for simultaneous detection of multiple fish species from environmental DNA and other samples
Open accessAbstract
We reviewed the current methodology and practices of the DNA metabarcoding approach using a universal PCR primer pair MiFish, which co-amplifies a short fragment of fish DNA (approx. 170 bp from the mitochondrial 12S rRNA gene) across a wide variety of taxa. This method has mostly been applied to biodiversity monitoring using environmental DNA (eDNA) shed from fish and, coupled with next-generation sequencing technologies, has enabled massively parallel sequencing of several hundred eDNA samples simultaneously. Since the publication of its technical outline in 2015, this method has been widely used in various aquatic environments in and around the six continents, and MiFish primers have demonstrably outperformed other competing primers. Here, we outline the technical progress in this method over the last 5 years and highlight some case studies on marine, freshwater, and estuarine fish communities. Additionally, we discuss various applications of MiFish metabarcoding to non-fish organisms, single-species detection systems, quantitative biodiversity monitoring, and bulk DNA samples other than eDNA. By recognizing the MiFish eDNA metabarcoding strengths and limitations, we argue that this method is useful for ecosystem conservation strategies and the sustainable use of fishery resources in “ecosystem-based fishery management” through continuous biodiversity monitoring at multiple sites.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets
Kumar, S., Stecher, G., & Tamura, K. (2016) · Molecular Biology and Evolution · doi:10.1093/molbev/msw054 · Cited by 44,059
DADA2: High–resolution sample inference from Illumina amplicon data
Callahan, B. J., McMurdie, P. J., Rosen, M. J., Han, A. W., Johnson, A. J. A., & Holmes, S. P. (2016) · Nature Methods · doi:10.1038/nmeth.3869 · Cited by 35,698
The value of the world's ecosystem services and natural capital
Costanza, R., d'Arge, R., de Groot, R., Farber, S., Grasso, M., Hannon, B., Limburg, K., Naeem, S., O'Neill, R. V., Paruelo, J., et al. (1997) · Nature · doi:10.1038/387253a0 · Cited by 22,585
Search and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 20,826
Coral Reefs Under Rapid Climate Change and Ocean Acidification
Hoegh-Guldberg, O., Mumby, P. J., Hooten, A. J., Steneck, R. S., Greenfield, P., Gomez, E., Harvell, C. D., Sale, P. F., Edwards, A. J., Caldeira, K., et al. (2007) · Science · doi:10.1126/science.1152509 · Cited by 5,885
The value of estuarine and coastal ecosystem services
Barbier, E. B., Hacker, S. D., Kennedy, C., Koch, E. W., Stier, A. C., & Silliman, B. R. (2011) · Ecological Monographs · doi:10.1890/10-1510.1 · Cited by 5,654
Exact sequence variants should replace operational taxonomic units in marker-gene data analysis
Callahan, B. J., McMurdie, P. J., & Holmes, S. P. (2017) · The ISME Journal · doi:10.1038/ismej.2017.119 · Cited by 3,300
Moore, D. S., Hillis, D. M., Moritz, C., & Mable, B. K. (1996) · Copeia · doi:10.2307/1447682 · Cited by 2,371
Ecosystem-Based Fishery Management
Pikitch, E. K., Santora, C., Babcock, E. A., Bakun, A., Bonfil, R., Conover, D. O., Dayton, P., Doukakis, P., Fluharty, D., Heneman, B., et al. (2004) · Science · doi:10.1126/science.1098222 · Cited by 2,312
Nelson, J. S., Grande, T. C., & Wilson, M. V. H. (2016) · Wiley eBooks · doi:10.1002/9781119174844 · Cited by 2,096
Cited by
de Santana, C. D., Parenti, L. R., Dillman, C. B., Coddington, J. A., Bastos, D. A., Baldwin, C. C., Zuanon, J., Torrente-Vilara, G., Covain, R., Menezes, N. A., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-97128-3 · Cited by 38
Self-citationTournayre, O., Tian, H., Lougheed, D. R., Windle, M. J. S., Lambert, S., Carter, J., Sun, Z., Ridal, J., Wang, Y., Cumming, B. F., et al. (2024) · Environmental DNA · doi:10.1002/edn3.590 · Cited by 13
Yu, Y., Shao, M., Zhou, H., Su, F., Guan, P., Ding, L., Ma, T., Zhou, B., Xu, S., Song, S., et al. (2026) · Scientific Reports · doi:10.1038/s41598-025-32964-1 · Cited by 3
Metadata
- Authors
- Miya, M., Gotoh, R. O., & Sado, T.
- Venue
- Fisheries Science
- Published
- 2020-09-15
- Volume
- 86
- Issue
- 6
- Pages
- 939-970
- ISSN
- 0919-9268 (ISSN-L)
- 1444-2906
- OpenAlex
- W3085313947
- Cited by
- 267
- References
- 148
- FWCI
- 17.01
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: MiFish metabarcoding: a high-throughput approach for simultaneous detection of multiple fish species from environmental DNA and other samples. https://app.cochat.ai/papers/10.1007/s12562-020-01461-x
- The paper
- Miya, M., Gotoh, R. O., & Sado, T. (2020). MiFish metabarcoding: a high-throughput approach for simultaneous detection of multiple fish species from environmental DNA and other samples. Fisheries Science. https://doi.org/10.1007/s12562-020-01461-x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
