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      World without borders—genetic population structure of a highly migratory marine predator, the blue shark ( Prionace glauca)

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          Abstract

          Highly migratory, cosmopolitan oceanic sharks often exhibit complex movement patterns influenced by ontogeny, reproduction, and feeding. These elusive species are particularly challenging to population genetic studies, as representative samples suitable for inferring genetic structure are difficult to obtain. Our study provides insights into the genetic population structure one of the most abundant and wide‐ranging oceanic shark species, the blue shark Prionace glauca, by sampling the least mobile component of the populations, i.e., young‐of‐year and small juveniles (<2 year; N = 348 individuals), at three reported nursery areas, namely, western Iberia, Azores, and South Africa. Samples were collected in two different time periods (2002–2008 and 2012–2015) and were screened at 12 nuclear microsatellites and at a 899‐bp fragment of the mitochondrial control region. Our results show temporally stable genetic homogeneity among the three Atlantic nurseries at both nuclear and mitochondrial markers, suggesting basin‐wide panmixia. In addition, comparison of mt DNA CR sequences from Atlantic and Indo‐Pacific locations also indicated genetic homogeneity and unrestricted female‐mediated gene flow between ocean basins. These results are discussed in light of the species' life history and ecology, but suggest that blue shark populations may be connected by gene flow at the global scale. The implications of the present findings to the management of this important fisheries resource are also discussed.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Estimating Relatedness Using Genetic Markers

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              What can genetics tell us about population connectivity?

              Genetic data are often used to assess 'population connectivity' because it is difficult to measure dispersal directly at large spatial scales. Genetic connectivity, however, depends primarily on the absolute number of dispersers among populations, whereas demographic connectivity depends on the relative contributions to population growth rates of dispersal vs. local recruitment (i.e. survival and reproduction of residents). Although many questions are best answered with data on genetic connectivity, genetic data alone provide little information on demographic connectivity. The importance of demographic connectivity is clear when the elimination of immigration results in a shift from stable or positive population growth to negative population growth. Otherwise, the amount of dispersal required for demographic connectivity depends on the context (e.g. conservation or harvest management), and even high dispersal rates may not indicate demographic interdependence. Therefore, it is risky to infer the importance of demographic connectivity without information on local demographic rates and how those rates vary over time. Genetic methods can provide insight on demographic connectivity when combined with these local demographic rates, data on movement behaviour, or estimates of reproductive success of immigrants and residents. We also consider the strengths and limitations of genetic measures of connectivity and discuss three concepts of genetic connectivity that depend upon the evolutionary criteria of interest: inbreeding connectivity, drift connectivity, and adaptive connectivity. To conclude, we describe alternative approaches for assessing population connectivity, highlighting the value of combining genetic data with capture-mark-recapture methods or other direct measures of movement to elucidate the complex role of dispersal in natural populations.
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                Author and article information

                Contributors
                averissimo@cibio.up.pt
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                24 May 2017
                July 2017
                : 7
                : 13 ( doiID: 10.1002/ece3.2017.7.issue-13 )
                : 4768-4781
                Affiliations
                [ 1 ]CIBIO – U.P. – Research Center for Biodiversity and Genetic Resources VairãoPortugal
                [ 2 ]Virginia Institute of Marine Science College of William and Mary Gloucester Point VAUSA
                [ 3 ]Centro Tecnológico del Mar Fundación CETMAR VigoSpain
                [ 4 ] Department of Agriculture, Forestry and FisheriesBranch Fisheries Rogge BaySouth Africa
                [ 5 ] Institute of Biological and Environmental Sciences School of Biological SciencesUniversity of Aberdeen AberdeenUK
                Author notes
                [*] [* ] Correspondence

                Ana Veríssimo, CIBIO – U.P. – Research Center for Biodiversity and Genetic Resources, Vairão, Portugal.

                Email: averissimo@ 123456cibio.up.pt .

                Author information
                http://orcid.org/0000-0003-3396-9822
                Article
                ECE32987
                10.1002/ece3.2987
                5496551
                28690806
                36c65118-889b-4285-9fd6-12e8641e6cd3
                © 2017 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 06 January 2017
                : 10 March 2017
                : 21 March 2017
                Page count
                Figures: 3, Tables: 3, Pages: 14, Words: 13084
                Funding
                Funded by: Portuguese national funds through FCT/MCTES (PIDDAC)
                Award ID: PTDC/MAR‐BIO/4458/2012
                Funded by: European Regional Development Fund (FEDER) through COMPETE—Programa Operacional Factores de Competitividade (POFC)
                Funded by: Fundação para a Ciência e Tecnologia
                Award ID: SFRH/BPD/77487/2011
                Award ID: IF/01611/2013
                Funded by: Integrative and Environmental Physiology group (IEP)
                Funded by: Institute of Biological and Environmental Sciences (IBES)
                Funded by: University of Aberdeen
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                ece32987
                July 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.1.2 mode:remove_FC converted:04.07.2017

                Evolutionary Biology
                gene flow,highly migratory sharks,nursery areas,panmixia
                Evolutionary Biology
                gene flow, highly migratory sharks, nursery areas, panmixia

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