Advertisement

Conservation Genetics Resources

, Volume 5, Issue 1, pp 293–297 | Cite as

Assignment test method using hypervariable markers for blue marlin (Makaira nigricans) stock identification

  • Laurie Sorenson
  • Jan R. McDowell
  • Trey Knott
  • John E. Graves
Application Essays

Abstract

Blue marlin (Makaira nigricans) stock status varies among ocean basins, and the Atlantic-wide stock is overfished. United States regulations prohibit commercial landing, importation and sale of Atlantic blue marlin, but not of Pacific or Indian Ocean conspecifics. We genotyped 344 blue marlin of known origin and 16 samples used as unknowns at 13 microsatellite loci and the mitochondrial control region. Assignment tests were conducted using GENECLASS2 to investigate the efficacy of available genotypic data to identify individual origin. We successfully discriminated Atlantic and Pacific blue marlin using genetic characters, providing more power to assign marketed blue marlin products to ocean of origin.

Keywords

Makaira nigricans Population assignment Fisheries management 

Notes

Acknowledgments

Research was supported by the National Marine Fisheries Service Award NA08NMF4000676 (JRM & JEG). We would like to thank all of our collaborators who provided samples, and Special Agent Lynn Rios for support in Puerto Rico.

References

  1. Ball MC, Finnegan LA, Nette T, Broders HG, Wilson PJ (2011) Wildlife forensics: “supervised” assignment testing can complicate the association of suspect cases to source populations. Forensic Sci Int Gen 5:50–56CrossRefGoogle Scholar
  2. Bromaghin JF (2008) BELS: backward elimination locus selection for studies of mixture composition or individual assignment. Mol Ecol Res 8:568–571CrossRefGoogle Scholar
  3. Buonaccorsi VP, Graves JE (2000) Isolation and characterization of novel polymorphic tetra-nucleotide microsatellite markers from the blue marlin, Makaira nigricans. Mol Ecol 9:820–821PubMedCrossRefGoogle Scholar
  4. Buonaccorsi VP, Morgan L, Reece KS, Graves JE (1999) Geographic distribution of molecular variance within blue marlin, Makaira nigricans: a hierarchical analysis of allozyme, single copy nuclear DNA, and mitochondrial DNA markers. Evolution 53:568–579CrossRefGoogle Scholar
  5. Buonaccorsi VP, McDowell JR, Graves JE (2001) Reconciling patterns of inter-ocean molecular variance from four classes of molecular markers in blue marlin Makaira nigricans. Mol Ecol 10:1179–1196PubMedCrossRefGoogle Scholar
  6. Chapuis MP, Estoup A (2007) Microsatellite null alleles and estimation of population differentiation. Mol Biol Evol 24:621–631PubMedCrossRefGoogle Scholar
  7. Cornuet JM, Piry S, Luikart G, Estoup A, Solignac M (1999) New methods employing multilocus genotypes to select or exclude populations as origins of individuals. Genetics 153:1989–2000PubMedGoogle Scholar
  8. Excoffier L, Lischer HEL (2010) Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol Ecol Resour 10:564–567PubMedCrossRefGoogle Scholar
  9. Finnerty JR, Block BA (1992) Direct sequencing of mitochondrial DNA detects highly divergent haplotypes in blue marlin (Makaira nigricans). Mol Mar Biol Biotechnol 1:206–214PubMedGoogle Scholar
  10. Goudet J (1995) FSTAT version 1.2: a computer program to calculate F-statistics. J Hered 86:485–486Google Scholar
  11. Graves JE, McDowell JR (1995) Inter-ocean genetic divergence of istiophorid billfishes. Mar Biol 122:193–203Google Scholar
  12. Jacquet J, Pauly D (2008) Trade secrets: renaming and mislabeling of seafood. Mar Policy 32:309–318CrossRefGoogle Scholar
  13. Manel S, Berthier P, Luikart G (2002) Detecting wildlife poaching: identifying the origin of individuals with Bayesian assignment tests and multilocus genotypes. Conserv Biol 16:650–659CrossRefGoogle Scholar
  14. Nakamura I (1985) Billfishes of the world: an annotated and illustrated catalogue of marlins, sailfishes, spearfishes and swordfishes known to date. FAO Fish Synop 125Google Scholar
  15. Ogden R (2008) Fisheries forensics: the use of DNA tools for improving compliance, traceability and enforcement in the fishing industry. Fish Fish 9:462–472CrossRefGoogle Scholar
  16. Paetkau D, Slade R, Burden M, Estoup A (2004) Genetic assignment methods for the direct, real-time estimation of migration rate: a simulation-based exploration of accuracy and power. Mol Ecol 13:55–65PubMedCrossRefGoogle Scholar
  17. Peakall R, Smouse PE (2006) GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Mol Ecol Notes 6:288–295CrossRefGoogle Scholar
  18. Piry S, Alapetite A, Cornuet JM et al (2004) Geneclass2: a software for genetic assignment and first-generation migrant detection. J Hered 95:536–539PubMedCrossRefGoogle Scholar
  19. Primmer CR, Koskinen MT, Piironen J (2000) The one that did not get away: individual assignment using microsatellite data detects a case of fishing competition fraud. Proc R Soc B 267:1699–1704PubMedCrossRefGoogle Scholar
  20. Rannala B, Mountain BJL (1997) Detecting immigration by using multilocus genotypes. Proc Natl Acad Sci 94:9197–9201PubMedCrossRefGoogle Scholar
  21. Rousset F (2008) Genepop’007: a complete reimplementation of the Genepop software for Windows and Linux. Mol Ecol Resour 8:103–106PubMedCrossRefGoogle Scholar
  22. Sønstebø JH, Borgstrøm R, Heun M (2007) Genetic structure of brown trout (Salmo trutta L.) from the Hardangervidda mountain plateau (Norway) analyzed by microsatellite DNA: a basis for conservation guidelines. Conserv Gen 8:33–44CrossRefGoogle Scholar
  23. Sorenson L, McDowell JR, Graves JE (2011) Isolation and characterization of microsatellite markers for blue marlin, Makaira nigricans. Conserv Gen Resour 3:721–723CrossRefGoogle Scholar
  24. van Oosterhout C, Hutchinson WF, Wills DPM, Shipley P (2004) MICRO-CHECKER: software for identifying and correcting genotyping errors in microsatellite data. Mol Ecol Notes 4:535–538CrossRefGoogle Scholar
  25. Withler RE, Candy JR, Beacham TD, Miller KM (2004) Forensic DNA analysis of Pacific salmonid samples for species and stock identification. Environ Biol Fish 69:275–285CrossRefGoogle Scholar
  26. Wong EHK, Hanner RH (2008) DNA barcoding detects market substitution in North American seafood. Food Res Int 41:828–837CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Laurie Sorenson
    • 1
    • 3
  • Jan R. McDowell
    • 1
  • Trey Knott
    • 2
  • John E. Graves
    • 1
  1. 1.College of William and MaryVirginia Institute of Marine ScienceGloucester PointUSA
  2. 2.Center for Coastal Environmental Health and Biomolecular ResearchNational Ocean ServiceCharlestonUSA
  3. 3.Department of Ecology and Evolutionary BiologyUniversity of California, Los AngelesLos AngelesUSA

Personalised recommendations