Cited by 46Genetic diversity and population structureMarine and fisheries researchFish Ecology and Management Studies

Genomic analysis reveals multiple mismatches between biological and management units in yellowfin tuna (Thunnus albacares)

Open access
Mullins, Rachel B, McKeown, Niall J, Sauer, Warwick H H, Shaw, Paul W·2018·ICES Journal of Marine Science

Abstract

The South African (SAF) yellowfin tuna (Thunnus albacares) fishery represents a potential example of misalignment between management units and biological processes. The SAF fishery spans an operational stock with a boundary at 20°E, either side of which fish are considered part of Atlantic or Indian Ocean regional stocks. However, the actual recruitment of fish from Atlantic and Indian Ocean spawning populations into SAF waters is unknown. To address this knowledge gap, genomic analysis (11 101 SNPs) was performed on samples from Atlantic and Indian Ocean spawning sites, including SAF sites spanning the current stock boundary. Outlier loci conferred high discriminatory power to assignment tests and revealed that all SAF fish were assigned to the Indian Ocean population and that no Atlantic Ocean fish appeared in the SAF samples. Additionally, several Indian Ocean migrants were detected at the Atlantic spawning site demonstrating asymmetric dispersal and the occurrence of a mixed-stock fishery in Atlantic waters. This study highlights both the spatial inaccuracy of current stock designations and a misunderstanding of interactions between the underlying biological units, which must be addressed in light of local and global declines of the species. Specifically, the entire SAF fishery must be managed as part of the Indian Ocean stock.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/icesjms/fsy102

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

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.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 17

  1. Beaumont, M. A., and Nichols, R. A. 1996. Evaluating loci for use in the genetic analysis of population structure. Proceedings of the Royal Society B-Biological Sciences, 263: 1619-1626.
  2. Bekkevold, D., Helyar, S. J., Limborg, M. T., Nielsen, E. E., Hemmer- Hansen, J., Clausen, L. A. W., and Carvalho, G. R. 2015. Gene-associated markers can assign origin in a weakly structured fish, Atlantic herring. ICES Journal of Marine Science, 72: 1790-1801.
  3. Brill, R. W., and Lutcavage, M. E. 2001. Understanding environmen- tal influences on movements and depth distributions of tunas and billfishes can significantly improve population assessments. American Fisheries Society Symposium, 25: 179-198.
  4. Gwilliam, M. P., Winkler, A. C., Potts, W. M., Santos, C. V., Sauer, W. H. H., Shaw, P. W., and McKeown, N. J. 2018. Integrated ge- netic and morphological data support eco-evolutionary diver- gence of Angolan and South African populations of Diplodus hottentotus. Journal of Fish Biology, 92: 1163-1176.
  5. Hellberg, M. E. 2009. Gene flow and isolation among populations of marine animals. In Annual Review of Ecology Evolution and Systematics, 40: 291-310.
  6. Jeffreys, H. 1961. Theory of Probability. Oxford University Press, Oxford, UK.
  7. Kell, L. T., Dickey-Collas, M., Hintzen, N. T., Nash, R. D. M., Pilling, G. M., and Roel, B. A. 2009. Lumpers or splitters? Evaluating re- covery and management plans for metapopulations of herring. ICES Journal of Marine Science, 66: 1776-1783.
  8. Myers, R. A., and Worm, B. 2005. Extinction, survival or recovery of large predatory fishes. Philosophical Transactions of the Royal Society B-Biological Sciences, 360: 13-20.
  9. Nakamura, Y., Mori, K., Saitoh, K., Oshima, K., Mekuchi, M., Sugaya, T., Shigenobu, Y., et al. 2013. Evolutionary changes of multiple visual pigment genes in the complete genome of Pacific bluefin tuna. Proceedings of the National Academy of Sciences, USA, 110: 11061-11066.
  10. Nei, M., Tajima, F., and Tateno, Y. 1983. Accuracy of estimated phy- logenetic trees from molecular data. Journal of Molecular Evolution, 19: 153-170.
  11. Piry, S., Alapetite, A., Cornuet, J. M., Paetkau, D., Baudouin, L., and Estoup, A. 2004. GENECLASS2: a software for genetic assignment and first-generation migrant detection. Journal of Heredity, 95: 536-539.
  12. Ruzzante, D. E., Mariani, S., Bekkevold, D., Andre, C., Mosegaard, H., Clausen, L. A. W., Dahlgren, T. G., et al. 2006. Biocomplexity in a highly migratory pelagic marine fish, Atlantic herring. Proceedings of the Royal Society B-Biological Sciences, 273: 1459-1464.
  13. Schaefer, K. M., Fuller, D. W., and Block, B. A. 2009. Vertical move- ments and habitat utilization of Skipjack (Katsuwonus pelamis), Yellowfin (Thunnus albacares), and Bigeye (Thunnus obesus) tunas in the Equatorial Eastern Pacific Ocean, ascertained through ar- chival tag data. In Reviews: Methods and Technologies in Fish Biology and Fisheries: Tagging and Tracking of Marine Animals with Electronic Devices, 9, pp. 121-144.
  14. Ed. by J. L. Nielsen, H. Arrizabalaga, H. Fragoso, A. Hobday, M. Lutcavage and J. Sibert. Springer, Berlin. Schouten, M. W., de Ruijter, W. P. M., van Leeuwen, P. J., and Lutjeharms, J. R. E. 2000. Translation, decay and splitting of Agulhas rings in the southeastern Atlantic Ocean. Journal of Geophysical Research-Oceans, 105: 21913-21925.
  15. Ward, R. D., Elliott, N. G., Innes, B. H., Smolenski, A. J., and Grewe, P. M. 1997. Global population structure of yellowfin tuna, Thunnus albacares, inferred from allozyme and mitochondrial DNA variation. Fishery Bulletin, 95: 566-575.
  16. Willette, D. A., Allendorf, F. W., Barber, P. H., Barshis, D. J., Carpenter, K. E., Crandall, E. D., Cresko, W. A., et al. 2014. So, you want to use next-generation sequencing in marine systems? Insight from the Pan-Pacific Advanced Studies Institute. Bulletin of Marine Science, 90: 79-122.
  17. Ying, Y. P., Chen, Y., Lin, L. S., and Gao, T. X. 2011. Risks of ignoring fish population spatial structure in fisheries management. Canadian Journal of Fisheries and Aquatic Sciences, 68: 2101-2120. Handling editor: W. Grant

Authors
Mullins, R. B., McKeown, N. J., Sauer, W. H. H., & Shaw, P. W.
Affiliations
  • Rhodes University (ZA)
  • Aberystwyth University (GB)
  • Department of Ichthyology & Fisheries Science, Rhodes University, Grahamstown, South Africa
Corresponding author
McKeown, Niall J
Venue
ICES Journal of Marine Science
Published
2018-07-31
Volume
75
Issue
6
Pages
2145-2152
ISSN
  • 1054-3139 (ISSN-L)
  • 1095-9289
OpenAlex
W2885466438
Cited by
46
References
1
Citations by year
2026: 1 · 2025: 5 · 2024: 2 · 2023: 8 · 2022: 8 · 2021: 8 · 2020: 12 · 2019: 2
FWCI
3.37
Type
journal article
Language
en
Open access
Locations
ICES Journal of Marine Science (publishedVersion, cc-by)
Funders
  • BBSRC
  • Marine Stewardship Council
  • National Research Foundation
  • Belmont Forum
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
  • Physical Sciences › Environmental Science › Global and Planetary Change › Marine and fisheries research
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish Ecology and Management Studies
Keywords
yellowfin tuna, management units, asymmetric dispersal, mixed-stock fisheries, population assignment, outlier loci, fisheries management

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