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      Diversity, temporal distribution and physiology of the centric diatom Leptocylindrus Cleve (Bacillariophyta) from a southern hemisphere upwelling system

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      Diatom Research
      Informa UK Limited

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          Culture of Phytoplankton for Feeding Marine Invertebrates

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            The estimation of population differentiation with microsatellite markers.

            Microsatellite markers are routinely used to investigate the genetic structuring of natural populations. The knowledge of how genetic variation is partitioned among populations may have important implications not only in evolutionary biology and ecology, but also in conservation biology. Hence, reliable estimates of population differentiation are crucial to understand the connectivity among populations and represent important tools to develop conservation strategies. The estimation of differentiation is c from Wright's FST and/or Slatkin's RST, an FST -analogue assuming a stepwise mutation model. Both these statistics have their drawbacks. Furthermore, there is no clear consensus over their relative accuracy. In this review, we first discuss the consequences of different temporal and spatial sampling strategies on differentiation estimation. Then, we move to statistical problems directly associated with the estimation of population structuring itself, with particular emphasis on the effects of high mutation rates and mutation patterns of microsatellite loci. Finally, we discuss the biological interpretation of population structuring estimates.
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              Mesoscale structure of the mean East Australian Current System and its relationship with topography

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                Author and article information

                Journal
                Diatom Research
                Diatom Research
                Informa UK Limited
                0269-249X
                2159-8347
                October 24 2016
                October 2016
                November 30 2016
                October 2016
                : 31
                : 4
                : 351-365
                Article
                10.1080/0269249X.2016.1260058
                8437392e-da6e-498f-9a1b-9b553c8915f5
                © 2016
                History

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