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CHILEAN JACK MACKEREL WORKSHOP Horse Mackerel ( Trachurus trachurus ) Stock Identification Research (EU-Project HOMSIR) A multidisciplinary approach using genetic markers and A multidisciplinary approach using genetic markers and A


  1. CHILEAN JACK MACKEREL WORKSHOP Horse Mackerel ( Trachurus trachurus ) Stock Identification Research (EU-Project HOMSIR) “A multidisciplinary approach using genetic markers and “A multidisciplinary approach using genetic markers and “A multidisciplinary approach using genetic markers and “A multidisciplinary approach using genetic markers and biological tags in horse mackerel biological tags in horse mackerel ( biological tags in horse mackerel biological tags in horse mackerel ( ( ( Trachurus trachurus Trachurus trachurus Trachurus trachurus Trachurus trachurus ) ) ) stock ) stock stock stock structure analysis” structure analysis” structure analysis” structure analysis” structure analysis” structure analysis” structure analysis” structure analysis” �� ���������������������� ��������������������������������������� ��������� ���������������

  2. IEO, Spain UVIGO, Spain IPIMAR, Portugal UNIABDN, UK MFSD, Ireland IMR, Norway UNITUS, Italy FFCUL, Portugal IMBC, Greece BFA Fi, Germany

  3. I) INTRODUCTION x II) OBJECTIVES x x x III) SAMPLING AND METHODS IV) MAIN RESULTS Integrating the information from different stock identification approaches V) CONCLUSIONS

  4. I) INTRODUCTION Stock concept An intraspecific group of randomly mating individuals with temporal or spatial integrity (Ihssen et al., 1981) Various definitions depending on the level of “integrity” Genetic stock Phenotypic stock Contingent stock Harvest stock C D B A PANMIXIA AISLAMIENTO ISOLATION Equivalent to the concept of population but refereeing to commercially exploited species

  5. I) INTRODUCTION To understand the patterns of populations in time and space, their richness and variability, it is necessary to apply a holistic approach. In this way, the fullest possible picture can be obtained in response to the ecological, evolutive and operational requirements that the definition of stock may involve. Global Evolutionary Ocean History Basin Demographic Spatial scale Migration fluctuations Recruitment Larval drift Regional variability Migration Local local - vertical Adaptation km Schooling m Feeding cm Hours Seasons Days Years Decades Centuries Millennia Time scale

  6. I) INTRODUCTION Horse mackerel ( Trachurus trachurus ) as target species Widely distributed, valuable fishery (250.000 – 500.000 ton.) Uncertainty in stock definition As a result = HOMSIR project (QLK5-CT1999-01438)

  7. II) HOMSIR OBJECTIVES Stock identification of horse mackerel throughout its distribution range, integrating the information from different approaches: Genetic stock assessment (MAE, mtDNA, msDNA, SSCP) Stock identification using molecular markers Levels of genetic variability Estimation of gene flow between populations Estimation of gene flow between populations Application of other natural marks: Body morphometrics Otolith shape analysis Parasites as biological tags (+ genetics on anisakids) Life history traits : Growth, reproduction and distribution . The evaluation of the viability of physical tagging

  8. II) HOMSIR OBJECTIVES Thus, to set-up an improved multidisciplinary tool for fish stock identification, and an exhaustive knowledge of horse mackerel stock structure, structure, in order to allow an enhanced management for this resource in EU waters in short, medium and long term.

  9. III) HOMSIR SAMPLING. MATERIAL AND METHODS x x x x Sampling in space and time 1) Sampling in space · Intensive = Atlantic Exploratory = Medite- rranean · Distribution area ( - North of Africa) ( - North of Africa) · 20 sampling sites 2) Sampling in time · 2 sampling years · To detect occasional events · Distribution: Historical data series of catches Figure modified from Abaunza et al. 2008. Fish. Res. 89: 104-113

  10. III) HOMSIR SAMPLING. MATERIAL AND METHODS x x x x 200 specimens per sampling site (two years) All techniques applied on All techniques applied on the same specimen Collected during spawning season

  11. III) HOMSIR SAMPLING x x x x Sampling at sea Processing at labs 100 100 genetics 50 (Life history traits) Lisbon 50 (All techniques) Aberdeen Marcado físico Figure from Abaunza et al. 2008. Fish. Res. 89: 104-113

  12. Main results Main results

  13. IV) MAIN RESULTS • In general, horse mackerel shows low levels of genetic differentiation, high genetic variability and a stable genetic structure over time · F st = 0.013 Migratory adults · Heterozigosity = 0.11 – 0.14 Allozymes, mtDNA and msDNA analysis showed similar results. Results from SSCP were uncertain and are at present under revision

  14. IV) MAIN RESULTS A major separation between the Atlantic Ocean and the Mediterranean Sea exists, although the most western part of the Mediterranean Sea could be partially connected with the Atlantic Ocean · Body morphometrics: 84% classified correctly (discriminant analysis) · Otolith shape analysis: 90% (discriminant analysis) · Parasites (species composition, anisakids)

  15. IV) MAIN RESULTS Otolith shape analysis MDS ordination plot of the Euclidean distances between mean size-corrected Fourier descriptors in each sampling area Figure modified from Stransky et al. 2008. Fish. Res. 89: 159-166

  16. IV) MAIN RESULTS Anisakid species composition (parasites as biological tags) 10º W 0º 10º E 30º E 40º E 30º W A.simplex s.s. 60º N A. pegreffii Anisakis sp. A. typica A. physeteris A. physeteris 40º N 30º N Figure modified from Mattiucci et al. 2008. Fish. Res. 89: 146-151

  17. IV) MAIN RESULTS Horse mackerel from the west Iberian Atlantic coast can be distinguished from the rest of the Atlantic areas. The northern boundary of the “southern stock” ought to be revised, and accordingly, the revised, and accordingly, the shouthern boundary of the “western stock” The southern boundary of the so called “southern stock” is more uncertain. Figure modified from Abaunza et al. 2008. Fish. Res. 89: 196-209

  18. IV) MAIN RESULTS Body morphometrics. Dendogram from Atlantic sites Figure modified from Murta et al. 2008. Fish. Res. 89: 152-158

  19. IV) MAIN RESULTS Evolution of the abundance of different year-classes, based on survey data, from Atlantic Iberian coast (Portugal and Spain) Portugal Spain Figure modified from Murta et al. 2008. Fish. Res. 89: 186-195

  20. IV) MAIN RESULTS 250 Horse mackerel from the North Sea can be distinguished by: 5 200 y s te ro th y la c iu m) · Parasite composition (relative abundance of 150 anisakids), anisakids), Me a n A b u n d a n c e (Hy · low fecundity 100 · and body morphometrics 3 21 50 6 2 7 8 1 Concordance with Oceanic 0 circulation regime 0 20 40 60 80 100 120 Mean Abundance (Anisakis) Figure modified from MacKenzie et al. 2008. Fish. Res. 89: 136-145

  21. IV) MAIN RESULTS There is certain homogeneity in the characteristics of the horse mackerel from the west European waters (from Galicia to Norway) based on: · Otolith shape analysis · Body morphometrics · Anisakid species composition There are clear signals of migratory movements throughout the Atlantic areas, based on: · Distribution of commercial catches · Parasite species composition · Life history traits · Distribution of indices of abundance by age.

  22. IV) MAIN RESULTS Life history traits: growth studies Great variability in growth Clear pattern of increasing length with latitude: areas 3 2 1 areas 10 9 8 7 Mauritania shows the highest length at age values Figure modified from Abaunza et al. 2008. Fish. Res. 89: 167-180

  23. IV) MAIN RESULTS Distribution of commercial catches Growth differences: a) poblational; b) length-dependent migration 1 1 2 2 3 4 Figure modified from Abaunza et al. 2008. Fish. Res. 89: 167-180

  24. IV) MAIN RESULTS Horse mackerel from Mauritanian waters is characterized by its high growth rate and high batch fecundity. Northwest African waters is an area of high productivity Horse mackerel in the Mediterranean Sea is sub-structured in at Horse mackerel in the Mediterranean Sea is sub-structured in at least three main populations “west”, “central” and “east”, as suggested by morphometrics and parasites Sampling limitations First approach Oceanography: two main sub-basins (east-west)

  25. IV) MAIN RESULTS Horse mackerel body morphometric results from the Mediterranean West Central East Figure modified from Murta et al. 2008. Fish. Res. 89: 152-158

  26. IV) MAIN RESULTS SUMMARY OF RESULTS FROM DIFFERENT APPROACHES 60ºN 50ºN 40ºN 30ºN 20ºN Figure modified from Abaunza et al. 2008. Fish. Res. 89: 196-209 10ºN 20ºW 10ºW 0º 10ºE 20ºE 30ºE

  27. Conclusion Conclusion

  28. V) CONCLUSION HOMSIR: HORSE MACKEREL STOCK IDENTIFICATION Figure modified from Abaunza et al. 2008. Fish. Res. 89: 196-209

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