Identification of subpopulations in pelagic marine fish species using amino acid composition

Riveiro, I.; Guisande, Cástor; Iglesias, Paula; Basilone, Gualtiero; Cuttitta, Angela; Giráldez, Ana María Chocrón; Patti, B.; Mazzola, S.; Bonanno, A.; Vergara, Alba Ruth; Maneiro, Isabel

doi:10.1007/s10750-011-0663-y

Cited by 19 publications

(21 citation statements)

References 47 publications

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“…In the other hand, the combination of spatial and temporal scales, together with the biological characteristics of individuals, may have ecologically meaningful effects on population connectivity [5]. For example, a study on the identification of pelagic fish subpopulations using amino acid (AA) composition differentiated the northern and southern anchovy subpopulations in the Western Mediterranean Sea [89]. However, DNA and AA studies need to be linked with physical dynamics, particularly at intermediate and small scales (i.e., at scales of kilometers or less) to better understand the dynamics of population connectivity.…”

Section: Discussionmentioning

confidence: 99%

Modeling Fish Egg Production and Spatial Distribution from Acoustic Data: A Step Forward into the Analysis of Recruitment

et al. 2013

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To date, there are numerous transport simulation studies demonstrating the relevance of the hydrodynamics for the advection, dispersion and recruitment of early stages of marine organisms. However, the lack of data has conditioned the use of realistic locations for the model setup and configuration in transport studies. This work (I) demonstrates the key role played by the use of the realistic initial position of the eggs of small pelagic fishes in the analysis of late-larval recruitment in coastal nursery areas and (II) provides a general solution for deriving future egg positions and abundances from adult biomass obtained from acoustic surveys and available fecundity data. Using European anchovy in the NW Mediterranean as a case study, we first analyzed the impact of the initial location, timing, egg buoyancy and diel vertical migration of larvae on the potential late-larval recruitment to coastal areas. The results suggested that prior knowledge of the initial spawning grounds may substantially affect the estimates of potential recruitment. We then integrated biological and acoustics-derived data (the biomass and size structure, sex ratio, a weight-batch fecundity model, mean weight, number of fish and mean spawning) to build a predictive model for interannual egg production. This model was satisfactorily contrasted with field data for two years obtained with the Daily Egg Production Method (DEPM). We discuss our results in the context of the fluctuations of European anchovy egg abundance from 2003 through 2010 in the NW Mediterranean and in terms of the potential applicability of the acoustics-based spatial predictive egg production model.

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Section: Discussionmentioning

confidence: 99%

Modeling Fish Egg Production and Spatial Distribution from Acoustic Data: A Step Forward into the Analysis of Recruitment

et al. 2013

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“…This method is used to characterize stock structure in many different regions of the globe (e.g., Moore et al 2011;Baldwin et al 2012;Zischke et al 2013;MacKenzie and Abaunza 2014), and an International Council for the Exploration of the Sea working group is actively exploring and promoting the strategic use of parasite taxonomy and genetics for stock identification (ICES 2012). Fatty acid profiles have been used to identify stocks of Striped Bass (Grahl-Nielsen and Mjaavatten 1992), and such biochemical markers, including amino acids, may hold promise with other species (Riveiro et al 2011;Grahl-Nielsen 2014). Using otolith chemistry to associate habitat and connectivity of fishes has become more popular recently, contributing to stock identification of several species (American Shad, Striped Bass, Weakfish, and Red Drum).…”

Section: Review Of Methods Usedmentioning

confidence: 99%

Managing a Marine Stock Portfolio: Stock Identification, Structure, and Management of 25 Fishery Species along the Atlantic Coast of the United States

McBride

2014

N American J Fish Manag

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In this review, stock identification methods used, resulting stock numbers and boundaries, and assessment and management context were explored for all 25 species managed by the Atlantic States Marine Fisheries Commission (ASMFC). This included invertebrates and vertebrates distributed between Maine and Florida, with a few species ranging across all these states and some ranging into the Gulf of Mexico and the Canadian Maritimes. The effects of larval dispersal or mixing of adults in the marine environment were evident. Marine and catadromous spawners were recognized and treated as a unit stock (e.g., northern shrimp Pandalus borealis, American Eel Anguilla rostrata, Atlantic menhaden Brevoortia tyrannus, Bluefish Pomatomus saltatrix, Tautog Tautoga onitis), a metapopulation (American lobster Homarus americanus, Atlantic Herring Clupea harengus), or two stocks, north and south of Cape Hatteras, a major biogeographic boundary, (Black Sea Bass Centropristis striata, Scup Stenotomus chrysops, Red Drum Sciaenops ocellatus, Summer Flounder Paralichthys dentatus). Estuarine and anadromous spawners were structured and managed at a finer spatial scale (horseshoe crab Limulus polyphemus, Atlantic Sturgeon Acipenser oxyrinchus, American Shad Alosa sapidissima and the river herrings Blueback Herring A. aestivalis and Alewife A. pseudoharengus, and Spotted Seatrout Cynoscion nebulosus). A broad suite of stock identification methods have been applied to ASMFC species and reviewed here in five categories: life history traits, other phenotypic traits, genetic traits, natural marks, and applied marks. An interdisciplinary mix of methods has been achieved for a few species (Striped Bass Morone saxatilis, Winter Flounder Pseudopleuronectes americanus), but only a few or no stock identification methods have been applied to others (Spiny Dogfish Squalus acanthias, Hickory Shad A. mediocris, Spot Leiostomus xanthurus, Spanish Mackerel Scomberomorus maculatus). Clinal phenotypic variation has contributed to several long-standing debates about stock structure; some of these have been recently reevaluated as a unit stock (Atlantic Croaker Micropogonias undulatus, Weakfish Cynoscion regalis), and others are still debated. For some ASMFC species, other priorities (e.g., bycatch) dominate the uncertainty of the assessment or management process. Otherwise, stock identification remains a research priority for most of these species. Continued research of this subject should consider (1) research priorities tabulated by ASMFC review panels, (2) strategic use of interdisciplinary stock identification methods, (3) use of experiments or reaction norms to separate phenotypes from genotypes, (4) genetic surveys at a seascape scale, (5) demonstration of contingent (nongenetic) structure and its implications for management, and (6) simulation modeling. Obstacles to adopting finer-scale structure into assessments or management of ASMFC fisheries include: (1) multiple stock units are apparent but boundaries are not clear, (2) monitoring requirements for...

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“…The early life history of the fish populations depends on several factors that affect mainly the spawning biomass of fish adults Giannoulaki et al, 2013;Somarakis et al, 2004) and the larval fish conditions (Riveiro et al, 2011), mainly due to feeding success (Pepin et al, 2014), to optimal habitat (Sabatés et al, 2006(Sabatés et al, , 2007Valavanis et al, 2008) and to predation (Litvak & Leggett, 1992;Steele & Forrester, 2002;Yin & Blaxter, 1987). Moreover, mesoscale oceanographic structures including geostrophic and wind influenced current regimes (wind-induced mixing of the surface layer, upwelling) play an important role in determining the patterns of abundance and distribution of larval fish populations.…”

Section: Introductionmentioning

confidence: 99%

Different key roles of mesoscale oceanographic structures and ocean bathymetry in shaping larval fish distribution pattern: A case study in Sicilian waters in summer 2009

Cuttitta

Quinci

Patti

et al. 2016

Journal of Sea Research

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Identification of subpopulations in pelagic marine fish species using amino acid composition

Cited by 19 publications

References 47 publications

Modeling Fish Egg Production and Spatial Distribution from Acoustic Data: A Step Forward into the Analysis of Recruitment

Modeling Fish Egg Production and Spatial Distribution from Acoustic Data: A Step Forward into the Analysis of Recruitment

Managing a Marine Stock Portfolio: Stock Identification, Structure, and Management of 25 Fishery Species along the Atlantic Coast of the United States

Different key roles of mesoscale oceanographic structures and ocean bathymetry in shaping larval fish distribution pattern: A case study in Sicilian waters in summer 2009

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